• Home
• org.apache.spark
• spark-common-utils_2.13
• 4.0.0-preview2
• source code
• error-conditions.json

×

Project download

Many resources are needed to download a project. Please understand that we have to compensate our server costs. Thank you in advance.
Project price only 1 $

You can buy this project and download/modify it how often you want.

error.error-conditions.json Maven / Gradle / Ivy

{
  "AGGREGATE_FUNCTION_WITH_NONDETERMINISTIC_EXPRESSION" : {
    "message" : [
      "Non-deterministic expression  should not appear in the arguments of an aggregate function."
    ],
    "sqlState" : "42845"
  },
  "ALL_PARAMETERS_MUST_BE_NAMED" : {
    "message" : [
      "Using name parameterized queries requires all parameters to be named. Parameters missing names: ."
    ],
    "sqlState" : "07001"
  },
  "ALL_PARTITION_COLUMNS_NOT_ALLOWED" : {
    "message" : [
      "Cannot use all columns for partition columns."
    ],
    "sqlState" : "KD005"
  },
  "ALTER_TABLE_COLUMN_DESCRIPTOR_DUPLICATE" : {
    "message" : [
      "ALTER TABLE  column  specifies descriptor \"\" more than once, which is invalid."
    ],
    "sqlState" : "42710"
  },
  "AMBIGUOUS_ALIAS_IN_NESTED_CTE" : {
    "message" : [
      "Name  is ambiguous in nested CTE.",
      "Please set  to \"CORRECTED\" so that name defined in inner CTE takes precedence. If set it to \"LEGACY\", outer CTE definitions will take precedence.",
      "See '/sql-migration-guide.html#query-engine'."
    ],
    "sqlState" : "42KD0"
  },
  "AMBIGUOUS_COLUMN_OR_FIELD" : {
    "message" : [
      "Column or field  is ambiguous and has  matches."
    ],
    "sqlState" : "42702"
  },
  "AMBIGUOUS_COLUMN_REFERENCE" : {
    "message" : [
      "Column  is ambiguous. It's because you joined several DataFrame together, and some of these DataFrames are the same.",
      "This column points to one of the DataFrames but Spark is unable to figure out which one.",
      "Please alias the DataFrames with different names via `DataFrame.alias` before joining them,",
      "and specify the column using qualified name, e.g. `df.alias(\"a\").join(df.alias(\"b\"), col(\"a.id\") > col(\"b.id\"))`."
    ],
    "sqlState" : "42702"
  },
  "AMBIGUOUS_LATERAL_COLUMN_ALIAS" : {
    "message" : [
      "Lateral column alias  is ambiguous and has  matches."
    ],
    "sqlState" : "42702"
  },
  "AMBIGUOUS_REFERENCE" : {
    "message" : [
      "Reference  is ambiguous, could be: ."
    ],
    "sqlState" : "42704"
  },
  "AMBIGUOUS_REFERENCE_TO_FIELDS" : {
    "message" : [
      "Ambiguous reference to the field . It appears  times in the schema."
    ],
    "sqlState" : "42000"
  },
  "ARITHMETIC_OVERFLOW" : {
    "message" : [
      ". If necessary set  to \"false\" to bypass this error."
    ],
    "sqlState" : "22003"
  },
  "ASSIGNMENT_ARITY_MISMATCH" : {
    "message" : [
      "The number of columns or variables assigned or aliased:  does not match the number of source expressions: ."
    ],
    "sqlState" : "42802"
  },
  "AS_OF_JOIN" : {
    "message" : [
      "Invalid as-of join."
    ],
    "subClass" : {
      "TOLERANCE_IS_NON_NEGATIVE" : {
        "message" : [
          "The input argument `tolerance` must be non-negative."
        ]
      },
      "TOLERANCE_IS_UNFOLDABLE" : {
        "message" : [
          "The input argument `tolerance` must be a constant."
        ]
      },
      "UNSUPPORTED_DIRECTION" : {
        "message" : [
          "Unsupported as-of join direction ''. Supported as-of join direction include: ."
        ]
      }
    },
    "sqlState" : "42604"
  },
  "AVRO_INCOMPATIBLE_READ_TYPE" : {
    "message" : [
      "Cannot convert Avro  to SQL  because the original encoded data type is , however you're trying to read the field as , which would lead to an incorrect answer.",
      "To allow reading this field, enable the SQL configuration: \"spark.sql.legacy.avro.allowIncompatibleSchema\"."
    ],
    "sqlState" : "22KD3"
  },
  "AVRO_NOT_LOADED_SQL_FUNCTIONS_UNUSABLE" : {
    "message" : [
      "Cannot call the  SQL function because the Avro data source is not loaded.",
      "Please restart your job or session with the 'spark-avro' package loaded, such as by using the --packages argument on the command line, and then retry your query or command again."
    ],
    "sqlState" : "22KD3"
  },
  "BATCH_METADATA_NOT_FOUND" : {
    "message" : [
      "Unable to find batch ."
    ],
    "sqlState" : "42K03"
  },
  "BINARY_ARITHMETIC_OVERFLOW" : {
    "message" : [
      "   caused overflow."
    ],
    "sqlState" : "22003"
  },
  "BOOLEAN_STATEMENT_WITH_EMPTY_ROW" : {
    "message" : [
      "Boolean statement  is invalid. Expected single row with a value of the BOOLEAN type, but got an empty row."
    ],
    "sqlState" : "21000"
  },
  "CALL_ON_STREAMING_DATASET_UNSUPPORTED" : {
    "message" : [
      "The method  can not be called on streaming Dataset/DataFrame."
    ],
    "sqlState" : "42KDE"
  },
  "CANNOT_ALTER_COLLATION_BUCKET_COLUMN" : {
    "message" : [
      "ALTER TABLE (ALTER|CHANGE) COLUMN cannot change collation of type/subtypes of bucket columns, but found the bucket column  in the table ."
    ],
    "sqlState" : "428FR"
  },
  "CANNOT_ALTER_PARTITION_COLUMN" : {
    "message" : [
      "ALTER TABLE (ALTER|CHANGE) COLUMN is not supported for partition columns, but found the partition column  in the table ."
    ],
    "sqlState" : "428FR"
  },
  "CANNOT_ASSIGN_EVENT_TIME_COLUMN_WITHOUT_WATERMARK" : {
    "message" : [
      "Watermark needs to be defined to reassign event time column. Failed to find watermark definition in the streaming query."
    ],
    "sqlState" : "42611"
  },
  "CANNOT_CAST_DATATYPE" : {
    "message" : [
      "Cannot cast  to ."
    ],
    "sqlState" : "42846"
  },
  "CANNOT_CONVERT_PROTOBUF_FIELD_TYPE_TO_SQL_TYPE" : {
    "message" : [
      "Cannot convert Protobuf  to SQL  because schema is incompatible (protobufType = , sqlType = )."
    ],
    "sqlState" : "42846"
  },
  "CANNOT_CONVERT_PROTOBUF_MESSAGE_TYPE_TO_SQL_TYPE" : {
    "message" : [
      "Unable to convert  of Protobuf to SQL type ."
    ],
    "sqlState" : "42846"
  },
  "CANNOT_CONVERT_SQL_TYPE_TO_PROTOBUF_FIELD_TYPE" : {
    "message" : [
      "Cannot convert SQL  to Protobuf  because schema is incompatible (protobufType = , sqlType = )."
    ],
    "sqlState" : "42846"
  },
  "CANNOT_CONVERT_SQL_VALUE_TO_PROTOBUF_ENUM_TYPE" : {
    "message" : [
      "Cannot convert SQL  to Protobuf  because  is not in defined values for enum: ."
    ],
    "sqlState" : "42846"
  },
  "CANNOT_CREATE_DATA_SOURCE_TABLE" : {
    "message" : [
      "Failed to create data source table :"
    ],
    "subClass" : {
      "EXTERNAL_METADATA_UNSUPPORTED" : {
        "message" : [
          "provider '' does not support external metadata but a schema is provided. Please remove the schema when creating the table."
        ]
      }
    },
    "sqlState" : "42KDE"
  },
  "CANNOT_DECODE_URL" : {
    "message" : [
      "The provided URL cannot be decoded: . Please ensure that the URL is properly formatted and try again."
    ],
    "sqlState" : "22546"
  },
  "CANNOT_INVOKE_IN_TRANSFORMATIONS" : {
    "message" : [
      "Dataset transformations and actions can only be invoked by the driver, not inside of other Dataset transformations; for example, dataset1.map(x => dataset2.values.count() * x) is invalid because the values transformation and count action cannot be performed inside of the dataset1.map transformation. For more information, see SPARK-28702."
    ],
    "sqlState" : "0A000"
  },
  "CANNOT_LOAD_FUNCTION_CLASS" : {
    "message" : [
      "Cannot load class  when registering the function , please make sure it is on the classpath."
    ],
    "sqlState" : "46103"
  },
  "CANNOT_LOAD_PROTOBUF_CLASS" : {
    "message" : [
      "Could not load Protobuf class with name . ."
    ],
    "sqlState" : "42K03"
  },
  "CANNOT_LOAD_STATE_STORE" : {
    "message" : [
      "An error occurred during loading state."
    ],
    "subClass" : {
      "CANNOT_READ_CHECKPOINT" : {
        "message" : [
          "Cannot read RocksDB checkpoint metadata. Expected , but found ."
        ]
      },
      "CANNOT_READ_DELTA_FILE_KEY_SIZE" : {
        "message" : [
          "Error reading delta file  of : key size cannot be ."
        ]
      },
      "CANNOT_READ_DELTA_FILE_NOT_EXISTS" : {
        "message" : [
          "Error reading delta file  of :  does not exist."
        ]
      },
      "CANNOT_READ_MISSING_SNAPSHOT_FILE" : {
        "message" : [
          "Error reading snapshot file  of :  does not exist."
        ]
      },
      "CANNOT_READ_SNAPSHOT_FILE_KEY_SIZE" : {
        "message" : [
          "Error reading snapshot file  of : key size cannot be ."
        ]
      },
      "CANNOT_READ_SNAPSHOT_FILE_VALUE_SIZE" : {
        "message" : [
          "Error reading snapshot file  of : value size cannot be ."
        ]
      },
      "CANNOT_READ_STREAMING_STATE_FILE" : {
        "message" : [
          "Error reading streaming state file of  does not exist. If the stream job is restarted with a new or updated state operation, please create a new checkpoint location or clear the existing checkpoint location."
        ]
      },
      "HDFS_STORE_PROVIDER_OUT_OF_MEMORY" : {
        "message" : [
          "Could not load HDFS state store with id  because of an out of memory exception."
        ]
      },
      "INVALID_CHANGE_LOG_READER_VERSION" : {
        "message" : [
          "The change log reader version cannot be ."
        ]
      },
      "INVALID_CHANGE_LOG_WRITER_VERSION" : {
        "message" : [
          "The change log writer version cannot be ."
        ]
      },
      "ROCKSDB_STORE_PROVIDER_OUT_OF_MEMORY" : {
        "message" : [
          "Could not load RocksDB state store with id  because of an out of memory exception."
        ]
      },
      "SNAPSHOT_PARTITION_ID_NOT_FOUND" : {
        "message" : [
          "Partition id  not found for state of operator  at ."
        ]
      },
      "UNCATEGORIZED" : {
        "message" : [
          ""
        ]
      },
      "UNEXPECTED_FILE_SIZE" : {
        "message" : [
          "Copied  to , expected  bytes, found  bytes."
        ]
      },
      "UNEXPECTED_VERSION" : {
        "message" : [
          "Version cannot be  because it is less than 0."
        ]
      },
      "UNRELEASED_THREAD_ERROR" : {
        "message" : [
          ": RocksDB instance could not be acquired by  for operationType= as it was not released by  after  ms.",
          "Thread holding the lock has trace: "
        ]
      }
    },
    "sqlState" : "58030"
  },
  "CANNOT_MERGE_INCOMPATIBLE_DATA_TYPE" : {
    "message" : [
      "Failed to merge incompatible data types  and . Please check the data types of the columns being merged and ensure that they are compatible. If necessary, consider casting the columns to compatible data types before attempting the merge."
    ],
    "sqlState" : "42825"
  },
  "CANNOT_MERGE_SCHEMAS" : {
    "message" : [
      "Failed merging schemas:",
      "Initial schema:",
      "",
      "Schema that cannot be merged with the initial schema:",
      "."
    ],
    "sqlState" : "42KD9"
  },
  "CANNOT_MODIFY_CONFIG" : {
    "message" : [
      "Cannot modify the value of the Spark config: .",
      "See also '/sql-migration-guide.html#ddl-statements'."
    ],
    "sqlState" : "46110"
  },
  "CANNOT_PARSE_DECIMAL" : {
    "message" : [
      "Cannot parse decimal. Please ensure that the input is a valid number with optional decimal point or comma separators."
    ],
    "sqlState" : "22018"
  },
  "CANNOT_PARSE_INTERVAL" : {
    "message" : [
      "Unable to parse . Please ensure that the value provided is in a valid format for defining an interval. You can reference the documentation for the correct format. If the issue persists, please double check that the input value is not null or empty and try again."
    ],
    "sqlState" : "22006"
  },
  "CANNOT_PARSE_JSON_FIELD" : {
    "message" : [
      "Cannot parse the field name  and the value  of the JSON token type  to target Spark data type ."
    ],
    "sqlState" : "2203G"
  },
  "CANNOT_PARSE_PROTOBUF_DESCRIPTOR" : {
    "message" : [
      "Error parsing descriptor bytes into Protobuf FileDescriptorSet."
    ],
    "sqlState" : "22018"
  },
  "CANNOT_PARSE_TIMESTAMP" : {
    "message" : [
      ". If necessary set  to \"false\" to bypass this error."
    ],
    "sqlState" : "22007"
  },
  "CANNOT_RECOGNIZE_HIVE_TYPE" : {
    "message" : [
      "Cannot recognize hive type string: , column: . The specified data type for the field cannot be recognized by Spark SQL. Please check the data type of the specified field and ensure that it is a valid Spark SQL data type. Refer to the Spark SQL documentation for a list of valid data types and their format. If the data type is correct, please ensure that you are using a supported version of Spark SQL."
    ],
    "sqlState" : "429BB"
  },
  "CANNOT_RENAME_ACROSS_SCHEMA" : {
    "message" : [
      "Renaming a  across schemas is not allowed."
    ],
    "sqlState" : "0AKD0"
  },
  "CANNOT_RESOLVE_DATAFRAME_COLUMN" : {
    "message" : [
      "Cannot resolve dataframe column . It's probably because of illegal references like `df1.select(df2.col(\"a\"))`."
    ],
    "sqlState" : "42704"
  },
  "CANNOT_RESOLVE_STAR_EXPAND" : {
    "message" : [
      "Cannot resolve .* given input columns . Please check that the specified table or struct exists and is accessible in the input columns."
    ],
    "sqlState" : "42704"
  },
  "CANNOT_RESTORE_PERMISSIONS_FOR_PATH" : {
    "message" : [
      "Failed to set permissions on created path  back to ."
    ],
    "sqlState" : "58030"
  },
  "CANNOT_UPDATE_FIELD" : {
    "message" : [
      "Cannot update  field  type:"
    ],
    "subClass" : {
      "ARRAY_TYPE" : {
        "message" : [
          "Update the element by updating .element."
        ]
      },
      "INTERVAL_TYPE" : {
        "message" : [
          "Update an interval by updating its fields."
        ]
      },
      "MAP_TYPE" : {
        "message" : [
          "Update a map by updating .key or .value."
        ]
      },
      "STRUCT_TYPE" : {
        "message" : [
          "Update a struct by updating its fields."
        ]
      },
      "USER_DEFINED_TYPE" : {
        "message" : [
          "Update a UserDefinedType[] by updating its fields."
        ]
      }
    },
    "sqlState" : "0A000"
  },
  "CANNOT_UP_CAST_DATATYPE" : {
    "message" : [
      "Cannot up cast  from  to .",
      "
"
    ],
    "sqlState" : "42846"
  },
  "CANNOT_USE_KRYO" : {
    "message" : [
      "Cannot load Kryo serialization codec. Kryo serialization cannot be used in the Spark Connect client. Use Java serialization, provide a custom Codec, or use Spark Classic instead."
    ],
    "sqlState" : "22KD3"
  },
  "CANNOT_WRITE_STATE_STORE" : {
    "message" : [
      "Error writing state store files for provider ."
    ],
    "subClass" : {
      "CANNOT_COMMIT" : {
        "message" : [
          "Cannot perform commit during state checkpoint."
        ]
      }
    },
    "sqlState" : "58030"
  },
  "CAST_INVALID_INPUT" : {
    "message" : [
      "The value  of the type  cannot be cast to  because it is malformed. Correct the value as per the syntax, or change its target type. Use `try_cast` to tolerate malformed input and return NULL instead."
    ],
    "sqlState" : "22018"
  },
  "CAST_OVERFLOW" : {
    "message" : [
      "The value  of the type  cannot be cast to  due to an overflow. Use `try_cast` to tolerate overflow and return NULL instead."
    ],
    "sqlState" : "22003"
  },
  "CAST_OVERFLOW_IN_TABLE_INSERT" : {
    "message" : [
      "Fail to assign a value of  type to the  type column or variable  due to an overflow. Use `try_cast` on the input value to tolerate overflow and return NULL instead."
    ],
    "sqlState" : "22003"
  },
  "CATALOG_NOT_FOUND" : {
    "message" : [
      "The catalog  not found. Consider to set the SQL config  to a catalog plugin."
    ],
    "sqlState" : "42P08"
  },
  "CHECKPOINT_RDD_BLOCK_ID_NOT_FOUND" : {
    "message" : [
      "Checkpoint block  not found!",
      "Either the executor that originally checkpointed this partition is no longer alive, or the original RDD is unpersisted.",
      "If this problem persists, you may consider using `rdd.checkpoint()` instead, which is slower than local checkpointing but more fault-tolerant."
    ],
    "sqlState" : "56000"
  },
  "CLASS_NOT_OVERRIDE_EXPECTED_METHOD" : {
    "message" : [
      " must override either  or ."
    ],
    "sqlState" : "38000"
  },
  "CLASS_UNSUPPORTED_BY_MAP_OBJECTS" : {
    "message" : [
      "`MapObjects` does not support the class  as resulting collection."
    ],
    "sqlState" : "0A000"
  },
  "CLUSTERING_COLUMNS_MISMATCH" : {
    "message" : [
      "Specified clustering does not match that of the existing table .",
      "Specified clustering columns: [].",
      "Existing clustering columns: []."
    ],
    "sqlState" : "42P10"
  },
  "CLUSTERING_NOT_SUPPORTED" : {
    "message" : [
      "'' does not support clustering."
    ],
    "sqlState" : "42000"
  },
  "CODEC_NOT_AVAILABLE" : {
    "message" : [
      "The codec  is not available."
    ],
    "subClass" : {
      "WITH_AVAILABLE_CODECS_SUGGESTION" : {
        "message" : [
          "Available codecs are ."
        ]
      },
      "WITH_CONF_SUGGESTION" : {
        "message" : [
          "Consider to set the config  to ."
        ]
      }
    },
    "sqlState" : "56038"
  },
  "CODEC_SHORT_NAME_NOT_FOUND" : {
    "message" : [
      "Cannot find a short name for the codec ."
    ],
    "sqlState" : "42704"
  },
  "COLLATION_INVALID_NAME" : {
    "message" : [
      "The value  does not represent a correct collation name. Suggested valid collation names: []."
    ],
    "sqlState" : "42704"
  },
  "COLLATION_INVALID_PROVIDER" : {
    "message" : [
      "The value  does not represent a correct collation provider. Supported providers are: []."
    ],
    "sqlState" : "42704"
  },
  "COLLATION_MISMATCH" : {
    "message" : [
      "Could not determine which collation to use for string functions and operators."
    ],
    "subClass" : {
      "EXPLICIT" : {
        "message" : [
          "Error occurred due to the mismatch between explicit collations: []. Decide on a single explicit collation and remove others."
        ]
      },
      "IMPLICIT" : {
        "message" : [
          "Error occurred due to the mismatch between multiple implicit non-default collations. Use COLLATE function to set the collation explicitly."
        ]
      }
    },
    "sqlState" : "42P21"
  },
  "COLLECTION_SIZE_LIMIT_EXCEEDED" : {
    "message" : [
      "Can't create array with  elements which exceeding the array size limit ,"
    ],
    "subClass" : {
      "FUNCTION" : {
        "message" : [
          "unsuccessful try to create arrays in the function ."
        ]
      },
      "INITIALIZE" : {
        "message" : [
          "cannot initialize an array with specified parameters."
        ]
      },
      "PARAMETER" : {
        "message" : [
          "the value of parameter(s)  in the function  is invalid."
        ]
      }
    },
    "sqlState" : "54000"
  },
  "COLUMN_ALIASES_NOT_ALLOWED" : {
    "message" : [
      "Column aliases are not allowed in ."
    ],
    "sqlState" : "42601"
  },
  "COLUMN_ALREADY_EXISTS" : {
    "message" : [
      "The column  already exists. Choose another name or rename the existing column."
    ],
    "sqlState" : "42711"
  },
  "COLUMN_NOT_DEFINED_IN_TABLE" : {
    "message" : [
      " column  is not defined in table , defined table columns are: ."
    ],
    "sqlState" : "42703"
  },
  "COLUMN_NOT_FOUND" : {
    "message" : [
      "The column  cannot be found. Verify the spelling and correctness of the column name according to the SQL config ."
    ],
    "sqlState" : "42703"
  },
  "COMPARATOR_RETURNS_NULL" : {
    "message" : [
      "The comparator has returned a NULL for a comparison between  and .",
      "It should return a positive integer for \"greater than\", 0 for \"equal\" and a negative integer for \"less than\".",
      "To revert to deprecated behavior where NULL is treated as 0 (equal), you must set \"spark.sql.legacy.allowNullComparisonResultInArraySort\" to \"true\"."
    ],
    "sqlState" : "22004"
  },
  "COMPLEX_EXPRESSION_UNSUPPORTED_INPUT" : {
    "message" : [
      "Cannot process input data types for the expression: ."
    ],
    "subClass" : {
      "MISMATCHED_TYPES" : {
        "message" : [
          "All input types must be the same except nullable, containsNull, valueContainsNull flags, but found the input types ."
        ]
      },
      "NO_INPUTS" : {
        "message" : [
          "The collection of input data types must not be empty."
        ]
      }
    },
    "sqlState" : "42K09"
  },
  "CONCURRENT_QUERY" : {
    "message" : [
      "Another instance of this query was just started by a concurrent session."
    ],
    "sqlState" : "0A000"
  },
  "CONCURRENT_STREAM_LOG_UPDATE" : {
    "message" : [
      "Concurrent update to the log. Multiple streaming jobs detected for .",
      "Please make sure only one streaming job runs on a specific checkpoint location at a time."
    ],
    "sqlState" : "40000"
  },
  "CONFLICTING_PARTITION_COLUMN_NAMES" : {
    "message" : [
      "Conflicting partition column names detected:",
      "",
      "For partitioned table directories, data files should only live in leaf directories.",
      "And directories at the same level should have the same partition column name.",
      "Please check the following directories for unexpected files or inconsistent partition column names:",
      ""
    ],
    "sqlState" : "KD009"
  },
  "CONNECT" : {
    "message" : [
      "Generic Spark Connect error."
    ],
    "subClass" : {
      "INTERCEPTOR_CTOR_MISSING" : {
        "message" : [
          "Cannot instantiate GRPC interceptor because  is missing a default constructor without arguments."
        ]
      },
      "INTERCEPTOR_RUNTIME_ERROR" : {
        "message" : [
          "Error instantiating GRPC interceptor: "
        ]
      },
      "PLUGIN_CTOR_MISSING" : {
        "message" : [
          "Cannot instantiate Spark Connect plugin because  is missing a default constructor without arguments."
        ]
      },
      "PLUGIN_RUNTIME_ERROR" : {
        "message" : [
          "Error instantiating Spark Connect plugin: "
        ]
      },
      "SESSION_NOT_SAME" : {
        "message" : [
          "Both Datasets must belong to the same SparkSession."
        ]
      }
    },
    "sqlState" : "56K00"
  },
  "CONVERSION_INVALID_INPUT" : {
    "message" : [
      "The value  () cannot be converted to  because it is malformed. Correct the value as per the syntax, or change its format. Use  to tolerate malformed input and return NULL instead."
    ],
    "sqlState" : "22018"
  },
  "CREATE_PERMANENT_VIEW_WITHOUT_ALIAS" : {
    "message" : [
      "Not allowed to create the permanent view  without explicitly assigning an alias for the expression ."
    ],
    "sqlState" : "0A000"
  },
  "CREATE_TABLE_COLUMN_DESCRIPTOR_DUPLICATE" : {
    "message" : [
      "CREATE TABLE column  specifies descriptor \"\" more than once, which is invalid."
    ],
    "sqlState" : "42710"
  },
  "CREATE_VIEW_COLUMN_ARITY_MISMATCH" : {
    "message" : [
      "Cannot create view , the reason is"
    ],
    "subClass" : {
      "NOT_ENOUGH_DATA_COLUMNS" : {
        "message" : [
          "not enough data columns:",
          "View columns: .",
          "Data columns: ."
        ]
      },
      "TOO_MANY_DATA_COLUMNS" : {
        "message" : [
          "too many data columns:",
          "View columns: .",
          "Data columns: ."
        ]
      }
    },
    "sqlState" : "21S01"
  },
  "DATATYPE_MISMATCH" : {
    "message" : [
      "Cannot resolve  due to data type mismatch:"
    ],
    "subClass" : {
      "ARRAY_FUNCTION_DIFF_TYPES" : {
        "message" : [
          "Input to  should have been  followed by a value with same element type, but it's [, ]."
        ]
      },
      "BINARY_ARRAY_DIFF_TYPES" : {
        "message" : [
          "Input to function  should have been two  with same element type, but it's [, ]."
        ]
      },
      "BINARY_OP_DIFF_TYPES" : {
        "message" : [
          "the left and right operands of the binary operator have incompatible types ( and )."
        ]
      },
      "BINARY_OP_WRONG_TYPE" : {
        "message" : [
          "the binary operator requires the input type , not ."
        ]
      },
      "BLOOM_FILTER_BINARY_OP_WRONG_TYPE" : {
        "message" : [
          "The Bloom filter binary input to  should be either a constant value or a scalar subquery expression, but it's ."
        ]
      },
      "BLOOM_FILTER_WRONG_TYPE" : {
        "message" : [
          "Input to function  should have been  followed by value with , but it's []."
        ]
      },
      "CANNOT_CONVERT_TO_JSON" : {
        "message" : [
          "Unable to convert column  of type  to JSON."
        ]
      },
      "CANNOT_DROP_ALL_FIELDS" : {
        "message" : [
          "Cannot drop all fields in struct."
        ]
      },
      "CAST_WITHOUT_SUGGESTION" : {
        "message" : [
          "cannot cast  to ."
        ]
      },
      "CAST_WITH_CONF_SUGGESTION" : {
        "message" : [
          "cannot cast  to  with ANSI mode on.",
          "If you have to cast  to , you can set  as ."
        ]
      },
      "CAST_WITH_FUNC_SUGGESTION" : {
        "message" : [
          "cannot cast  to .",
          "To convert values from  to , you can use the functions  instead."
        ]
      },
      "CREATE_MAP_KEY_DIFF_TYPES" : {
        "message" : [
          "The given keys of function  should all be the same type, but they are ."
        ]
      },
      "CREATE_MAP_VALUE_DIFF_TYPES" : {
        "message" : [
          "The given values of function  should all be the same type, but they are ."
        ]
      },
      "CREATE_NAMED_STRUCT_WITHOUT_FOLDABLE_STRING" : {
        "message" : [
          "Only foldable `STRING` expressions are allowed to appear at odd position, but they are ."
        ]
      },
      "DATA_DIFF_TYPES" : {
        "message" : [
          "Input to  should all be the same type, but it's ."
        ]
      },
      "FILTER_NOT_BOOLEAN" : {
        "message" : [
          "Filter expression  of type  is not a boolean."
        ]
      },
      "HASH_MAP_TYPE" : {
        "message" : [
          "Input to the function  cannot contain elements of the \"MAP\" type. In Spark, same maps may have different hashcode, thus hash expressions are prohibited on \"MAP\" elements. To restore previous behavior set \"spark.sql.legacy.allowHashOnMapType\" to \"true\"."
        ]
      },
      "HASH_VARIANT_TYPE" : {
        "message" : [
          "Input to the function  cannot contain elements of the \"VARIANT\" type yet."
        ]
      },
      "INPUT_SIZE_NOT_ONE" : {
        "message" : [
          "Length of  should be 1."
        ]
      },
      "INVALID_ARG_VALUE" : {
        "message" : [
          "The  value must to be a  literal of , but got ."
        ]
      },
      "INVALID_JSON_MAP_KEY_TYPE" : {
        "message" : [
          "Input schema  can only contain STRING as a key type for a MAP."
        ]
      },
      "INVALID_JSON_SCHEMA" : {
        "message" : [
          "Input schema  must be a struct, an array, a map or a variant."
        ]
      },
      "INVALID_MAP_KEY_TYPE" : {
        "message" : [
          "The key of map cannot be/contain ."
        ]
      },
      "INVALID_ORDERING_TYPE" : {
        "message" : [
          "The  does not support ordering on type ."
        ]
      },
      "INVALID_ROW_LEVEL_OPERATION_ASSIGNMENTS" : {
        "message" : [
          ""
        ]
      },
      "INVALID_XML_MAP_KEY_TYPE" : {
        "message" : [
          "Input schema  can only contain STRING as a key type for a MAP."
        ]
      },
      "IN_SUBQUERY_DATA_TYPE_MISMATCH" : {
        "message" : [
          "The data type of one or more elements in the left hand side of an IN subquery is not compatible with the data type of the output of the subquery. Mismatched columns: [], left side: [], right side: []."
        ]
      },
      "IN_SUBQUERY_LENGTH_MISMATCH" : {
        "message" : [
          "The number of columns in the left hand side of an IN subquery does not match the number of columns in the output of subquery. Left hand side columns(length: ): [], right hand side columns(length: ): []."
        ]
      },
      "MAP_CONCAT_DIFF_TYPES" : {
        "message" : [
          "The  should all be of type map, but it's ."
        ]
      },
      "MAP_FUNCTION_DIFF_TYPES" : {
        "message" : [
          "Input to  should have been  followed by a value with same key type, but it's [, ]."
        ]
      },
      "MAP_ZIP_WITH_DIFF_TYPES" : {
        "message" : [
          "Input to the  should have been two maps with compatible key types, but it's [, ]."
        ]
      },
      "NON_FOLDABLE_INPUT" : {
        "message" : [
          "the input  should be a foldable  expression; however, got ."
        ]
      },
      "NON_STRING_TYPE" : {
        "message" : [
          "all arguments of the function  must be strings."
        ]
      },
      "NULL_TYPE" : {
        "message" : [
          "Null typed values cannot be used as arguments of ."
        ]
      },
      "PARAMETER_CONSTRAINT_VIOLATION" : {
        "message" : [
          "The () must be  the ()."
        ]
      },
      "RANGE_FRAME_INVALID_TYPE" : {
        "message" : [
          "The data type  used in the order specification does not match the data type  which is used in the range frame."
        ]
      },
      "RANGE_FRAME_MULTI_ORDER" : {
        "message" : [
          "A range window frame with value boundaries cannot be used in a window specification with multiple order by expressions: ."
        ]
      },
      "RANGE_FRAME_WITHOUT_ORDER" : {
        "message" : [
          "A range window frame cannot be used in an unordered window specification."
        ]
      },
      "SEQUENCE_WRONG_INPUT_TYPES" : {
        "message" : [
          " uses the wrong parameter type. The parameter type must conform to:",
          "1. The start and stop expressions must resolve to the same type.",
          "2. If start and stop expressions resolve to the  type, then the step expression must resolve to the  type.",
          "3. Otherwise, if start and stop expressions resolve to the  type, then the step expression must resolve to the same type."
        ]
      },
      "SPECIFIED_WINDOW_FRAME_DIFF_TYPES" : {
        "message" : [
          "Window frame bounds  and  do not have the same type:  <> ."
        ]
      },
      "SPECIFIED_WINDOW_FRAME_INVALID_BOUND" : {
        "message" : [
          "Window frame upper bound  does not follow the lower bound ."
        ]
      },
      "SPECIFIED_WINDOW_FRAME_UNACCEPTED_TYPE" : {
        "message" : [
          "The data type of the  bound  does not match the expected data type ."
        ]
      },
      "SPECIFIED_WINDOW_FRAME_WITHOUT_FOLDABLE" : {
        "message" : [
          "Window frame  bound  is not a literal."
        ]
      },
      "SPECIFIED_WINDOW_FRAME_WRONG_COMPARISON" : {
        "message" : [
          "The lower bound of a window frame must be  to the upper bound."
        ]
      },
      "STACK_COLUMN_DIFF_TYPES" : {
        "message" : [
          "The data type of the column () do not have the same type:  () <>  ()."
        ]
      },
      "TYPE_CHECK_FAILURE_WITH_HINT" : {
        "message" : [
          "."
        ]
      },
      "UNEXPECTED_CLASS_TYPE" : {
        "message" : [
          "class  not found."
        ]
      },
      "UNEXPECTED_INPUT_TYPE" : {
        "message" : [
          "The  parameter requires the  type, however  has the type ."
        ]
      },
      "UNEXPECTED_NULL" : {
        "message" : [
          "The  must not be null."
        ]
      },
      "UNEXPECTED_RETURN_TYPE" : {
        "message" : [
          "The  requires return  type, but the actual is  type."
        ]
      },
      "UNEXPECTED_STATIC_METHOD" : {
        "message" : [
          "cannot find a static method  that matches the argument types in ."
        ]
      },
      "UNSUPPORTED_INPUT_TYPE" : {
        "message" : [
          "The input of  can't be  type data."
        ]
      },
      "UNSUPPORTED_UDF_INPUT_TYPE" : {
        "message" : [
          "UDFs do not support '' as an input data type."
        ]
      },
      "UNSUPPORTED_UDF_OUTPUT_TYPE" : {
        "message" : [
          "UDFs do not support '' as an output data type."
        ]
      },
      "VALUE_OUT_OF_RANGE" : {
        "message" : [
          "The  must be between  (current value = )."
        ]
      },
      "WRONG_NUM_ARG_TYPES" : {
        "message" : [
          "The expression requires  argument types but the actual number is ."
        ]
      },
      "WRONG_NUM_ENDPOINTS" : {
        "message" : [
          "The number of endpoints must be >= 2 to construct intervals but the actual number is ."
        ]
      }
    },
    "sqlState" : "42K09"
  },
  "DATATYPE_MISSING_SIZE" : {
    "message" : [
      "DataType  requires a length parameter, for example (10). Please specify the length."
    ],
    "sqlState" : "42K01"
  },
  "DATA_SOURCE_ALREADY_EXISTS" : {
    "message" : [
      "Data source '' already exists. Please choose a different name for the new data source."
    ],
    "sqlState" : "42710"
  },
  "DATA_SOURCE_EXTERNAL_ERROR" : {
    "message" : [
      "Encountered error when saving to external data source."
    ],
    "sqlState" : "KD00F"
  },
  "DATA_SOURCE_NOT_EXIST" : {
    "message" : [
      "Data source '' not found. Please make sure the data source is registered."
    ],
    "sqlState" : "42704"
  },
  "DATA_SOURCE_NOT_FOUND" : {
    "message" : [
      "Failed to find the data source: . Make sure the provider name is correct and the package is properly registered and compatible with your Spark version."
    ],
    "sqlState" : "42K02"
  },
  "DATA_SOURCE_TABLE_SCHEMA_MISMATCH" : {
    "message" : [
      "The schema of the data source table does not match the expected schema. If you are using the DataFrameReader.schema API or creating a table, avoid specifying the schema.",
      "Data Source schema: ",
      "Expected schema: "
    ],
    "sqlState" : "42K03"
  },
  "DATETIME_OVERFLOW" : {
    "message" : [
      "Datetime operation overflow: ."
    ],
    "sqlState" : "22008"
  },
  "DECIMAL_PRECISION_EXCEEDS_MAX_PRECISION" : {
    "message" : [
      "Decimal precision  exceeds max precision ."
    ],
    "sqlState" : "22003"
  },
  "DEFAULT_DATABASE_NOT_EXISTS" : {
    "message" : [
      "Default database  does not exist, please create it first or change default database to ``."
    ],
    "sqlState" : "42704"
  },
  "DEFAULT_PLACEMENT_INVALID" : {
    "message" : [
      "A DEFAULT keyword in a MERGE, INSERT, UPDATE, or SET VARIABLE command could not be directly assigned to a target column because it was part of an expression.",
      "For example: `UPDATE SET c1 = DEFAULT` is allowed, but `UPDATE T SET c1 = DEFAULT + 1` is not allowed."
    ],
    "sqlState" : "42608"
  },
  "DISTINCT_WINDOW_FUNCTION_UNSUPPORTED" : {
    "message" : [
      "Distinct window functions are not supported: ."
    ],
    "sqlState" : "0A000"
  },
  "DIVIDE_BY_ZERO" : {
    "message" : [
      "Division by zero. Use `try_divide` to tolerate divisor being 0 and return NULL instead. If necessary set  to \"false\" to bypass this error."
    ],
    "sqlState" : "22012"
  },
  "DUPLICATED_FIELD_NAME_IN_ARROW_STRUCT" : {
    "message" : [
      "Duplicated field names in Arrow Struct are not allowed, got ."
    ],
    "sqlState" : "42713"
  },
  "DUPLICATED_MAP_KEY" : {
    "message" : [
      "Duplicate map key  was found, please check the input data.",
      "If you want to remove the duplicated keys, you can set  to \"LAST_WIN\" so that the key inserted at last takes precedence."
    ],
    "sqlState" : "23505"
  },
  "DUPLICATED_METRICS_NAME" : {
    "message" : [
      "The metric name is not unique: . The same name cannot be used for metrics with different results.",
      "However multiple instances of metrics with with same result and name are allowed (e.g. self-joins)."
    ],
    "sqlState" : "42710"
  },
  "DUPLICATE_ASSIGNMENTS" : {
    "message" : [
      "The columns or variables  appear more than once as assignment targets."
    ],
    "sqlState" : "42701"
  },
  "DUPLICATE_CLAUSES" : {
    "message" : [
      "Found duplicate clauses: . Please, remove one of them."
    ],
    "sqlState" : "42614"
  },
  "DUPLICATE_KEY" : {
    "message" : [
      "Found duplicate keys ."
    ],
    "sqlState" : "23505"
  },
  "DUPLICATE_ROUTINE_PARAMETER_ASSIGNMENT" : {
    "message" : [
      "Call to routine  is invalid because it includes multiple argument assignments to the same parameter name ."
    ],
    "subClass" : {
      "BOTH_POSITIONAL_AND_NAMED" : {
        "message" : [
          "A positional argument and named argument both referred to the same parameter. Please remove the named argument referring to this parameter."
        ]
      },
      "DOUBLE_NAMED_ARGUMENT_REFERENCE" : {
        "message" : [
          "More than one named argument referred to the same parameter. Please assign a value only once."
        ]
      }
    },
    "sqlState" : "4274K"
  },
  "EMITTING_ROWS_OLDER_THAN_WATERMARK_NOT_ALLOWED" : {
    "message" : [
      "Previous node emitted a row with eventTime= which is older than current_watermark_value=",
      "This can lead to correctness issues in the stateful operators downstream in the execution pipeline.",
      "Please correct the operator logic to emit rows after current global watermark value."
    ],
    "sqlState" : "42815"
  },
  "EMPTY_JSON_FIELD_VALUE" : {
    "message" : [
      "Failed to parse an empty string for data type ."
    ],
    "sqlState" : "42604"
  },
  "ENCODER_NOT_FOUND" : {
    "message" : [
      "Not found an encoder of the type  to Spark SQL internal representation.",
      "Consider to change the input type to one of supported at '/sql-ref-datatypes.html'."
    ],
    "sqlState" : "42704"
  },
  "END_LABEL_WITHOUT_BEGIN_LABEL" : {
    "message" : [
      "End label  can not exist without begin label."
    ],
    "sqlState" : "42K0L"
  },
  "ERROR_READING_AVRO_UNKNOWN_FINGERPRINT" : {
    "message" : [
      "Error reading avro data -- encountered an unknown fingerprint: , not sure what schema to use.",
      "This could happen if you registered additional schemas after starting your spark context."
    ],
    "sqlState" : "KD00B"
  },
  "EVENT_TIME_IS_NOT_ON_TIMESTAMP_TYPE" : {
    "message" : [
      "The event time  has the invalid type , but expected \"TIMESTAMP\"."
    ],
    "sqlState" : "42K09"
  },
  "EXCEED_LIMIT_LENGTH" : {
    "message" : [
      "Exceeds char/varchar type length limitation: ."
    ],
    "sqlState" : "54006"
  },
  "EXCEPT_NESTED_COLUMN_INVALID_TYPE" : {
    "message" : [
      "EXCEPT column  was resolved and expected to be StructType, but found type ."
    ],
    "sqlState" : "428H2"
  },
  "EXCEPT_OVERLAPPING_COLUMNS" : {
    "message" : [
      "Columns in an EXCEPT list must be distinct and non-overlapping, but got ()."
    ],
    "sqlState" : "42702"
  },
  "EXEC_IMMEDIATE_DUPLICATE_ARGUMENT_ALIASES" : {
    "message" : [
      "The USING clause of this EXECUTE IMMEDIATE command contained multiple arguments with same alias (), which is invalid; please update the command to specify unique aliases and then try it again."
    ],
    "sqlState" : "42701"
  },
  "EXPECT_PERMANENT_VIEW_NOT_TEMP" : {
    "message" : [
      "'' expects a permanent view but  is a temp view."
    ],
    "sqlState" : "42809"
  },
  "EXPECT_TABLE_NOT_VIEW" : {
    "message" : [
      "'' expects a table but  is a view."
    ],
    "subClass" : {
      "NO_ALTERNATIVE" : {
        "message" : [
          ""
        ]
      },
      "USE_ALTER_VIEW" : {
        "message" : [
          "Please use ALTER VIEW instead."
        ]
      }
    },
    "sqlState" : "42809"
  },
  "EXPECT_VIEW_NOT_TABLE" : {
    "message" : [
      "The table  does not support ."
    ],
    "subClass" : {
      "NO_ALTERNATIVE" : {
        "message" : [
          ""
        ]
      },
      "USE_ALTER_TABLE" : {
        "message" : [
          "Please use ALTER TABLE instead."
        ]
      }
    },
    "sqlState" : "42809"
  },
  "EXPRESSION_DECODING_FAILED" : {
    "message" : [
      "Failed to decode a row to a value of the expressions: ."
    ],
    "sqlState" : "42846"
  },
  "EXPRESSION_ENCODING_FAILED" : {
    "message" : [
      "Failed to encode a value of the expressions:  to a row."
    ],
    "sqlState" : "42846"
  },
  "EXPRESSION_TYPE_IS_NOT_ORDERABLE" : {
    "message" : [
      "Column expression  cannot be sorted because its type  is not orderable."
    ],
    "sqlState" : "42822"
  },
  "FAILED_EXECUTE_UDF" : {
    "message" : [
      "User defined function (: () => ) failed due to: ."
    ],
    "sqlState" : "39000"
  },
  "FAILED_FUNCTION_CALL" : {
    "message" : [
      "Failed preparing of the function  for call. Please, double check function's arguments."
    ],
    "sqlState" : "38000"
  },
  "FAILED_JDBC" : {
    "message" : [
      "Failed JDBC  on the operation:"
    ],
    "subClass" : {
      "ALTER_TABLE" : {
        "message" : [
          "Alter the table ."
        ]
      },
      "CREATE_INDEX" : {
        "message" : [
          "Create the index  in the  table."
        ]
      },
      "CREATE_NAMESPACE" : {
        "message" : [
          "Create the namespace ."
        ]
      },
      "CREATE_NAMESPACE_COMMENT" : {
        "message" : [
          "Create a comment on the namespace: ."
        ]
      },
      "CREATE_TABLE" : {
        "message" : [
          "Create the table ."
        ]
      },
      "DROP_INDEX" : {
        "message" : [
          "Drop the index  in the  table."
        ]
      },
      "DROP_NAMESPACE" : {
        "message" : [
          "Drop the namespace ."
        ]
      },
      "GET_TABLES" : {
        "message" : [
          "Get tables from the namespace: ."
        ]
      },
      "LIST_NAMESPACES" : {
        "message" : [
          "List namespaces."
        ]
      },
      "LOAD_TABLE" : {
        "message" : [
          "Load the table ."
        ]
      },
      "NAMESPACE_EXISTS" : {
        "message" : [
          "Check that the namespace  exists."
        ]
      },
      "REMOVE_NAMESPACE_COMMENT" : {
        "message" : [
          "Remove a comment on the namespace: ."
        ]
      },
      "RENAME_TABLE" : {
        "message" : [
          "Rename the table  to ."
        ]
      },
      "TABLE_EXISTS" : {
        "message" : [
          "Check that the table  exists."
        ]
      },
      "UNCLASSIFIED" : {
        "message" : [
          ""
        ]
      }
    },
    "sqlState" : "HV000"
  },
  "FAILED_PARSE_STRUCT_TYPE" : {
    "message" : [
      "Failed parsing struct: ."
    ],
    "sqlState" : "22018"
  },
  "FAILED_READ_FILE" : {
    "message" : [
      "Encountered error while reading file ."
    ],
    "subClass" : {
      "CANNOT_READ_FILE_FOOTER" : {
        "message" : [
          "Could not read footer. Please ensure that the file is in either ORC or Parquet format.",
          "If not, please convert it to a valid format. If the file is in the valid format, please check if it is corrupt.",
          "If it is, you can choose to either ignore it or fix the corruption."
        ]
      },
      "FILE_NOT_EXIST" : {
        "message" : [
          "File does not exist. It is possible the underlying files have been updated.",
          "You can explicitly invalidate the cache in Spark by running 'REFRESH TABLE tableName' command in SQL or by recreating the Dataset/DataFrame involved."
        ]
      },
      "NO_HINT" : {
        "message" : [
          ""
        ]
      },
      "PARQUET_COLUMN_DATA_TYPE_MISMATCH" : {
        "message" : [
          "Data type mismatches when reading Parquet column . Expected Spark type , actual Parquet type ."
        ]
      }
    },
    "sqlState" : "KD001"
  },
  "FAILED_REGISTER_CLASS_WITH_KRYO" : {
    "message" : [
      "Failed to register classes with Kryo."
    ],
    "sqlState" : "KD000"
  },
  "FAILED_RENAME_PATH" : {
    "message" : [
      "Failed to rename  to  as destination already exists."
    ],
    "sqlState" : "42K04"
  },
  "FAILED_RENAME_TEMP_FILE" : {
    "message" : [
      "Failed to rename temp file  to  as FileSystem.rename returned false."
    ],
    "sqlState" : "58030"
  },
  "FAILED_ROW_TO_JSON" : {
    "message" : [
      "Failed to convert the row value  of the class  to the target SQL type  in the JSON format."
    ],
    "sqlState" : "2203G"
  },
  "FAILED_TO_PARSE_TOO_COMPLEX" : {
    "message" : [
      "The statement, including potential SQL functions and referenced views, was too complex to parse.",
      "To mitigate this error divide the statement into multiple, less complex chunks."
    ],
    "sqlState" : "54001"
  },
  "FEATURE_NOT_ENABLED" : {
    "message" : [
      "The feature  is not enabled. Consider setting the config  to  to enable this capability."
    ],
    "sqlState" : "56038"
  },
  "FIELD_ALREADY_EXISTS" : {
    "message" : [
      "Cannot  column, because  already exists in ."
    ],
    "sqlState" : "42710"
  },
  "FIELD_NOT_FOUND" : {
    "message" : [
      "No such struct field  in ."
    ],
    "sqlState" : "42704"
  },
  "FLATMAPGROUPSWITHSTATE_USER_FUNCTION_ERROR" : {
    "message" : [
      "An error occurred in the user provided function in flatMapGroupsWithState. Reason: "
    ],
    "sqlState" : "39000"
  },
  "FORBIDDEN_OPERATION" : {
    "message" : [
      "The operation  is not allowed on the : ."
    ],
    "sqlState" : "42809"
  },
  "FOREACH_BATCH_USER_FUNCTION_ERROR" : {
    "message" : [
      "An error occurred in the user provided function in foreach batch sink. Reason: "
    ],
    "sqlState" : "39000"
  },
  "FOREACH_USER_FUNCTION_ERROR" : {
    "message" : [
      "An error occurred in the user provided function in foreach sink. Reason: "
    ],
    "sqlState" : "39000"
  },
  "FOUND_MULTIPLE_DATA_SOURCES" : {
    "message" : [
      "Detected multiple data sources with the name ''. Please check the data source isn't simultaneously registered and located in the classpath."
    ],
    "sqlState" : "42710"
  },
  "GENERATED_COLUMN_WITH_DEFAULT_VALUE" : {
    "message" : [
      "A column cannot have both a default value and a generation expression but column  has default value: () and generation expression: ()."
    ],
    "sqlState" : "42623"
  },
  "GET_TABLES_BY_TYPE_UNSUPPORTED_BY_HIVE_VERSION" : {
    "message" : [
      "Hive 2.2 and lower versions don't support getTablesByType. Please use Hive 2.3 or higher version."
    ],
    "sqlState" : "56038"
  },
  "GRAPHITE_SINK_INVALID_PROTOCOL" : {
    "message" : [
      "Invalid Graphite protocol: ."
    ],
    "sqlState" : "KD000"
  },
  "GRAPHITE_SINK_PROPERTY_MISSING" : {
    "message" : [
      "Graphite sink requires '' property."
    ],
    "sqlState" : "KD000"
  },
  "GROUPING_COLUMN_MISMATCH" : {
    "message" : [
      "Column of grouping () can't be found in grouping columns ."
    ],
    "sqlState" : "42803"
  },
  "GROUPING_ID_COLUMN_MISMATCH" : {
    "message" : [
      "Columns of grouping_id () does not match grouping columns ()."
    ],
    "sqlState" : "42803"
  },
  "GROUPING_SIZE_LIMIT_EXCEEDED" : {
    "message" : [
      "Grouping sets size cannot be greater than ."
    ],
    "sqlState" : "54000"
  },
  "GROUP_BY_AGGREGATE" : {
    "message" : [
      "Aggregate functions are not allowed in GROUP BY, but found ."
    ],
    "sqlState" : "42903"
  },
  "GROUP_BY_POS_AGGREGATE" : {
    "message" : [
      "GROUP BY  refers to an expression  that contains an aggregate function. Aggregate functions are not allowed in GROUP BY."
    ],
    "sqlState" : "42903"
  },
  "GROUP_BY_POS_OUT_OF_RANGE" : {
    "message" : [
      "GROUP BY position  is not in select list (valid range is [1, ])."
    ],
    "sqlState" : "42805"
  },
  "GROUP_EXPRESSION_TYPE_IS_NOT_ORDERABLE" : {
    "message" : [
      "The expression  cannot be used as a grouping expression because its data type  is not an orderable data type."
    ],
    "sqlState" : "42822"
  },
  "HLL_INVALID_INPUT_SKETCH_BUFFER" : {
    "message" : [
      "Invalid call to ; only valid HLL sketch buffers are supported as inputs (such as those produced by the `hll_sketch_agg` function)."
    ],
    "sqlState" : "22546"
  },
  "HLL_INVALID_LG_K" : {
    "message" : [
      "Invalid call to ; the `lgConfigK` value must be between  and , inclusive: ."
    ],
    "sqlState" : "22546"
  },
  "HLL_UNION_DIFFERENT_LG_K" : {
    "message" : [
      "Sketches have different `lgConfigK` values:  and . Set the `allowDifferentLgConfigK` parameter to true to call  with different `lgConfigK` values."
    ],
    "sqlState" : "22000"
  },
  "IDENTIFIER_TOO_MANY_NAME_PARTS" : {
    "message" : [
      " is not a valid identifier as it has more than 2 name parts."
    ],
    "sqlState" : "42601"
  },
  "IDENTITY_COLUMNS_DUPLICATED_SEQUENCE_GENERATOR_OPTION" : {
    "message" : [
      "Duplicated IDENTITY column sequence generator option: ."
    ],
    "sqlState" : "42601"
  },
  "IDENTITY_COLUMNS_ILLEGAL_STEP" : {
    "message" : [
      "IDENTITY column step cannot be 0."
    ],
    "sqlState" : "42611"
  },
  "IDENTITY_COLUMNS_UNSUPPORTED_DATA_TYPE" : {
    "message" : [
      "DataType  is not supported for IDENTITY columns."
    ],
    "sqlState" : "428H2"
  },
  "IDENTITY_COLUMN_WITH_DEFAULT_VALUE" : {
    "message" : [
      "A column cannot have both a default value and an identity column specification but column  has default value: () and identity column specification: ()."
    ],
    "sqlState" : "42623"
  },
  "ILLEGAL_DAY_OF_WEEK" : {
    "message" : [
      "Illegal input for day of week: ."
    ],
    "sqlState" : "22009"
  },
  "ILLEGAL_STATE_STORE_VALUE" : {
    "message" : [
      "Illegal value provided to the State Store"
    ],
    "subClass" : {
      "EMPTY_LIST_VALUE" : {
        "message" : [
          "Cannot write empty list values to State Store for StateName ."
        ]
      },
      "NULL_VALUE" : {
        "message" : [
          "Cannot write null values to State Store for StateName ."
        ]
      }
    },
    "sqlState" : "42601"
  },
  "INCOMPARABLE_PIVOT_COLUMN" : {
    "message" : [
      "Invalid pivot column . Pivot columns must be comparable."
    ],
    "sqlState" : "42818"
  },
  "INCOMPATIBLE_COLUMN_TYPE" : {
    "message" : [
      " can only be performed on tables with compatible column types. The  column of the  table is  type which is not compatible with  at the same column of the first table.."
    ],
    "sqlState" : "42825"
  },
  "INCOMPATIBLE_DATASOURCE_REGISTER" : {
    "message" : [
      "Detected an incompatible DataSourceRegister. Please remove the incompatible library from classpath or upgrade it. Error: "
    ],
    "sqlState" : "56038"
  },
  "INCOMPATIBLE_DATA_FOR_TABLE" : {
    "message" : [
      "Cannot write incompatible data for the table :"
    ],
    "subClass" : {
      "AMBIGUOUS_COLUMN_NAME" : {
        "message" : [
          "Ambiguous column name in the input data ."
        ]
      },
      "CANNOT_FIND_DATA" : {
        "message" : [
          "Cannot find data for the output column ."
        ]
      },
      "CANNOT_SAFELY_CAST" : {
        "message" : [
          "Cannot safely cast   to ."
        ]
      },
      "EXTRA_COLUMNS" : {
        "message" : [
          "Cannot write extra columns ."
        ]
      },
      "EXTRA_STRUCT_FIELDS" : {
        "message" : [
          "Cannot write extra fields  to the struct ."
        ]
      },
      "NULLABLE_ARRAY_ELEMENTS" : {
        "message" : [
          "Cannot write nullable elements to array of non-nulls: ."
        ]
      },
      "NULLABLE_COLUMN" : {
        "message" : [
          "Cannot write nullable values to non-null column ."
        ]
      },
      "NULLABLE_MAP_VALUES" : {
        "message" : [
          "Cannot write nullable values to map of non-nulls: ."
        ]
      },
      "STRUCT_MISSING_FIELDS" : {
        "message" : [
          "Struct  missing fields: ."
        ]
      },
      "UNEXPECTED_COLUMN_NAME" : {
        "message" : [
          "Struct  -th field name does not match (may be out of order): expected , found ."
        ]
      }
    },
    "sqlState" : "KD000"
  },
  "INCOMPATIBLE_JOIN_TYPES" : {
    "message" : [
      "The join types  and  are incompatible."
    ],
    "sqlState" : "42613"
  },
  "INCOMPATIBLE_VIEW_SCHEMA_CHANGE" : {
    "message" : [
      "The SQL query of view  has an incompatible schema change and column  cannot be resolved. Expected  columns named  but got .",
      "Please try to re-create the view by running: ."
    ],
    "sqlState" : "51024"
  },
  "INCOMPLETE_TYPE_DEFINITION" : {
    "message" : [
      "Incomplete complex type:"
    ],
    "subClass" : {
      "ARRAY" : {
        "message" : [
          "The definition of \"ARRAY\" type is incomplete. You must provide an element type. For example: \"ARRAY\"."
        ]
      },
      "MAP" : {
        "message" : [
          "The definition of \"MAP\" type is incomplete. You must provide a key type and a value type. For example: \"MAP\"."
        ]
      },
      "STRUCT" : {
        "message" : [
          "The definition of \"STRUCT\" type is incomplete. You must provide at least one field type. For example: \"STRUCT\"."
        ]
      }
    },
    "sqlState" : "42K01"
  },
  "INCONSISTENT_BEHAVIOR_CROSS_VERSION" : {
    "message" : [
      "You may get a different result due to the upgrading to"
    ],
    "subClass" : {
      "DATETIME_PATTERN_RECOGNITION" : {
        "message" : [
          "Spark >= 3.0:",
          "Fail to recognize  pattern in the DateTimeFormatter.",
          "1) You can set  to \"LEGACY\" to restore the behavior before Spark 3.0.",
          "2) You can form a valid datetime pattern with the guide from '/sql-ref-datetime-pattern.html'."
        ]
      },
      "DATETIME_WEEK_BASED_PATTERN" : {
        "message" : [
          "Spark >= 3.0:",
          "All week-based patterns are unsupported since Spark 3.0, detected week-based character: .",
          "Please use the SQL function EXTRACT instead."
        ]
      },
      "PARSE_DATETIME_BY_NEW_PARSER" : {
        "message" : [
          "Spark >= 3.0:",
          "Fail to parse  in the new parser.",
          "You can set  to \"LEGACY\" to restore the behavior before Spark 3.0, or set to \"CORRECTED\" and treat it as an invalid datetime string."
        ]
      },
      "READ_ANCIENT_DATETIME" : {
        "message" : [
          "Spark >= 3.0: reading dates before 1582-10-15 or timestamps before 1900-01-01T00:00:00Z from  files can be ambiguous, as the files may be written by",
          "Spark 2.x or legacy versions of Hive, which uses a legacy hybrid calendar that is different from Spark 3.0+'s Proleptic Gregorian calendar.",
          "See more details in SPARK-31404.",
          "You can set the SQL config  or the datasource option  to \"LEGACY\" to rebase the datetime values w.r.t. the calendar difference during reading.",
          "To read the datetime values as it is, set the SQL config or the datasource option to \"CORRECTED\"."
        ]
      },
      "WRITE_ANCIENT_DATETIME" : {
        "message" : [
          "Spark >= 3.0:",
          "writing dates before 1582-10-15 or timestamps before 1900-01-01T00:00:00Z into  files can be dangerous, as the files may be read by Spark 2.x or legacy versions of Hive later, which uses a legacy hybrid calendar that is different from Spark 3.0+'s Proleptic Gregorian calendar.",
          "See more details in SPARK-31404.",
          "You can set  to \"LEGACY\" to rebase the datetime values w.r.t. the calendar difference during writing, to get maximum interoperability.",
          "Or set the config to \"CORRECTED\" to write the datetime values as it is, if you are sure that the written files will only be read by Spark 3.0+ or other systems that use Proleptic Gregorian calendar."
        ]
      }
    },
    "sqlState" : "42K0B"
  },
  "INCORRECT_RAMP_UP_RATE" : {
    "message" : [
      "Max offset with  rowsPerSecond is , but 'rampUpTimeSeconds' is ."
    ],
    "sqlState" : "22003"
  },
  "INDETERMINATE_COLLATION" : {
    "message" : [
      "Function called requires knowledge of the collation it should apply, but indeterminate collation was found. Use COLLATE function to set the collation explicitly."
    ],
    "sqlState" : "42P22"
  },
  "INDEX_ALREADY_EXISTS" : {
    "message" : [
      "Cannot create the index  on table  because it already exists."
    ],
    "sqlState" : "42710"
  },
  "INDEX_NOT_FOUND" : {
    "message" : [
      "Cannot find the index  on table ."
    ],
    "sqlState" : "42704"
  },
  "INSERT_COLUMN_ARITY_MISMATCH" : {
    "message" : [
      "Cannot write to , the reason is"
    ],
    "subClass" : {
      "NOT_ENOUGH_DATA_COLUMNS" : {
        "message" : [
          "not enough data columns:",
          "Table columns: .",
          "Data columns: ."
        ]
      },
      "TOO_MANY_DATA_COLUMNS" : {
        "message" : [
          "too many data columns:",
          "Table columns: .",
          "Data columns: ."
        ]
      }
    },
    "sqlState" : "21S01"
  },
  "INSERT_PARTITION_COLUMN_ARITY_MISMATCH" : {
    "message" : [
      "Cannot write to '', :",
      "Table columns: .",
      "Partition columns with static values: .",
      "Data columns: ."
    ],
    "sqlState" : "21S01"
  },
  "INSUFFICIENT_TABLE_PROPERTY" : {
    "message" : [
      "Can't find table property:"
    ],
    "subClass" : {
      "MISSING_KEY" : {
        "message" : [
          "."
        ]
      },
      "MISSING_KEY_PART" : {
        "message" : [
          ",  parts are expected."
        ]
      }
    },
    "sqlState" : "XXKUC"
  },
  "INTERNAL_ERROR" : {
    "message" : [
      ""
    ],
    "sqlState" : "XX000"
  },
  "INTERNAL_ERROR_BROADCAST" : {
    "message" : [
      ""
    ],
    "sqlState" : "XX000"
  },
  "INTERNAL_ERROR_EXECUTOR" : {
    "message" : [
      ""
    ],
    "sqlState" : "XX000"
  },
  "INTERNAL_ERROR_MEMORY" : {
    "message" : [
      ""
    ],
    "sqlState" : "XX000"
  },
  "INTERNAL_ERROR_METADATA_CATALOG" : {
    "message" : [
      "An object in the metadata catalog has been corrupted:"
    ],
    "subClass" : {
      "SQL_CONFIG" : {
        "message" : [
          "Corrupted view SQL configs in catalog."
        ]
      },
      "TABLE_NAME_CONTEXT" : {
        "message" : [
          "Corrupted table name context in catalog:  parts expected, but part  is missing."
        ]
      },
      "TEMP_FUNCTION_REFERENCE" : {
        "message" : [
          "Corrupted view referred temp functions names in catalog."
        ]
      },
      "TEMP_VARIABLE_REFERENCE" : {
        "message" : [
          "Corrupted view referred temp variable names in catalog."
        ]
      },
      "TEMP_VIEW_REFERENCE" : {
        "message" : [
          "Corrupted view referred temp view names in catalog."
        ]
      },
      "VIEW_QUERY_COLUMN_ARITY" : {
        "message" : [
          "Corrupted view query output column names in catalog:  parts expected, but part  is missing."
        ]
      }
    },
    "sqlState" : "XX000"
  },
  "INTERNAL_ERROR_NETWORK" : {
    "message" : [
      ""
    ],
    "sqlState" : "XX000"
  },
  "INTERNAL_ERROR_SHUFFLE" : {
    "message" : [
      ""
    ],
    "sqlState" : "XX000"
  },
  "INTERNAL_ERROR_STORAGE" : {
    "message" : [
      ""
    ],
    "sqlState" : "XX000"
  },
  "INTERNAL_ERROR_TWS" : {
    "message" : [
      ""
    ],
    "sqlState" : "XX000"
  },
  "INTERVAL_ARITHMETIC_OVERFLOW" : {
    "message" : [
      "."
    ],
    "sqlState" : "22015"
  },
  "INTERVAL_DIVIDED_BY_ZERO" : {
    "message" : [
      "Division by zero. Use `try_divide` to tolerate divisor being 0 and return NULL instead."
    ],
    "sqlState" : "22012"
  },
  "INVALID_AGGREGATE_FILTER" : {
    "message" : [
      "The FILTER expression  in an aggregate function is invalid."
    ],
    "subClass" : {
      "CONTAINS_AGGREGATE" : {
        "message" : [
          "Expected a FILTER expression without an aggregation, but found ."
        ]
      },
      "CONTAINS_WINDOW_FUNCTION" : {
        "message" : [
          "Expected a FILTER expression without a window function, but found ."
        ]
      },
      "NON_DETERMINISTIC" : {
        "message" : [
          "Expected a deterministic FILTER expression."
        ]
      },
      "NOT_BOOLEAN" : {
        "message" : [
          "Expected a FILTER expression of the BOOLEAN type."
        ]
      }
    },
    "sqlState" : "42903"
  },
  "INVALID_ARRAY_INDEX" : {
    "message" : [
      "The index  is out of bounds. The array has  elements. Use the SQL function `get()` to tolerate accessing element at invalid index and return NULL instead. If necessary set  to \"false\" to bypass this error."
    ],
    "sqlState" : "22003"
  },
  "INVALID_ARRAY_INDEX_IN_ELEMENT_AT" : {
    "message" : [
      "The index  is out of bounds. The array has  elements. Use `try_element_at` to tolerate accessing element at invalid index and return NULL instead. If necessary set  to \"false\" to bypass this error."
    ],
    "sqlState" : "22003"
  },
  "INVALID_BITMAP_POSITION" : {
    "message" : [
      "The 0-indexed bitmap position  is out of bounds. The bitmap has  bits ( bytes)."
    ],
    "sqlState" : "22003"
  },
  "INVALID_BOOLEAN_STATEMENT" : {
    "message" : [
      "Boolean statement is expected in the condition, but  was found."
    ],
    "sqlState" : "22546"
  },
  "INVALID_BOUNDARY" : {
    "message" : [
      "The boundary  is invalid: ."
    ],
    "subClass" : {
      "END" : {
        "message" : [
          "Expected the value is '0', '', '[, ]'."
        ]
      },
      "START" : {
        "message" : [
          "Expected the value is '0', '', '[, ]'."
        ]
      }
    },
    "sqlState" : "22003"
  },
  "INVALID_BUCKET_COLUMN_DATA_TYPE" : {
    "message" : [
      "Cannot use  for bucket column. Collated data types are not supported for bucketing."
    ],
    "sqlState" : "42601"
  },
  "INVALID_BUCKET_FILE" : {
    "message" : [
      "Invalid bucket file: ."
    ],
    "sqlState" : "58030"
  },
  "INVALID_BYTE_STRING" : {
    "message" : [
      "The expected format is ByteString, but was  ()."
    ],
    "sqlState" : "22P03"
  },
  "INVALID_COLUMN_NAME_AS_PATH" : {
    "message" : [
      "The datasource  cannot save the column  because its name contains some characters that are not allowed in file paths. Please, use an alias to rename it."
    ],
    "sqlState" : "46121"
  },
  "INVALID_COLUMN_OR_FIELD_DATA_TYPE" : {
    "message" : [
      "Column or field  is of type  while it's required to be ."
    ],
    "sqlState" : "42000"
  },
  "INVALID_CONF_VALUE" : {
    "message" : [
      "The value '' in the config \"\" is invalid."
    ],
    "subClass" : {
      "DEFAULT_COLLATION" : {
        "message" : [
          "Cannot resolve the given default collation. Suggested valid collation names: ['']?"
        ]
      },
      "TIME_ZONE" : {
        "message" : [
          "Cannot resolve the given timezone."
        ]
      }
    },
    "sqlState" : "22022"
  },
  "INVALID_CURSOR" : {
    "message" : [
      "The cursor is invalid."
    ],
    "subClass" : {
      "DISCONNECTED" : {
        "message" : [
          "The cursor has been disconnected by the server."
        ]
      },
      "NOT_REATTACHABLE" : {
        "message" : [
          "The cursor is not reattachable."
        ]
      },
      "POSITION_NOT_AVAILABLE" : {
        "message" : [
          "The cursor position id  is no longer available at index ."
        ]
      },
      "POSITION_NOT_FOUND" : {
        "message" : [
          "The cursor position id  is not found."
        ]
      }
    },
    "sqlState" : "HY109"
  },
  "INVALID_DATETIME_PATTERN" : {
    "message" : [
      "Unrecognized datetime pattern: ."
    ],
    "subClass" : {
      "ILLEGAL_CHARACTER" : {
        "message" : [
          "Illegal pattern character found in datetime pattern: . Please provide legal character."
        ]
      },
      "LENGTH" : {
        "message" : [
          "Too many letters in datetime pattern: . Please reduce pattern length."
        ]
      },
      "SECONDS_FRACTION" : {
        "message" : [
          "Cannot detect a seconds fraction pattern of variable length. Please make sure the pattern contains 'S', and does not contain illegal characters."
        ]
      }
    },
    "sqlState" : "22007"
  },
  "INVALID_DEFAULT_VALUE" : {
    "message" : [
      "Failed to execute  command because the destination column or variable  has a DEFAULT value ,"
    ],
    "subClass" : {
      "DATA_TYPE" : {
        "message" : [
          "which requires  type, but the statement provided a value of incompatible  type."
        ]
      },
      "NOT_CONSTANT" : {
        "message" : [
          "which is not a constant expression whose equivalent value is known at query planning time."
        ]
      },
      "SUBQUERY_EXPRESSION" : {
        "message" : [
          "which contains subquery expressions."
        ]
      },
      "UNRESOLVED_EXPRESSION" : {
        "message" : [
          "which fails to resolve as a valid expression."
        ]
      }
    },
    "sqlState" : "42623"
  },
  "INVALID_DELIMITER_VALUE" : {
    "message" : [
      "Invalid value for delimiter."
    ],
    "subClass" : {
      "DELIMITER_LONGER_THAN_EXPECTED" : {
        "message" : [
          "Delimiter cannot be more than one character: ."
        ]
      },
      "EMPTY_STRING" : {
        "message" : [
          "Delimiter cannot be empty string."
        ]
      },
      "NULL_VALUE" : {
        "message" : [
          "Delimiter cannot be null."
        ]
      },
      "SINGLE_BACKSLASH" : {
        "message" : [
          "Single backslash is prohibited. It has special meaning as beginning of an escape sequence. To get the backslash character, pass a string with two backslashes as the delimiter."
        ]
      },
      "UNSUPPORTED_SPECIAL_CHARACTER" : {
        "message" : [
          "Unsupported special character for delimiter: ."
        ]
      }
    },
    "sqlState" : "42602"
  },
  "INVALID_DRIVER_MEMORY" : {
    "message" : [
      "System memory  must be at least .",
      "Please increase heap size using the --driver-memory option or \"\" in Spark configuration."
    ],
    "sqlState" : "F0000"
  },
  "INVALID_EMPTY_LOCATION" : {
    "message" : [
      "The location name cannot be empty string, but `` was given."
    ],
    "sqlState" : "42K05"
  },
  "INVALID_ESC" : {
    "message" : [
      "Found an invalid escape string: . The escape string must contain only one character."
    ],
    "sqlState" : "42604"
  },
  "INVALID_ESCAPE_CHAR" : {
    "message" : [
      "`EscapeChar` should be a string literal of length one, but got ."
    ],
    "sqlState" : "42604"
  },
  "INVALID_EXECUTOR_MEMORY" : {
    "message" : [
      "Executor memory  must be at least .",
      "Please increase executor memory using the --executor-memory option or \"\" in Spark configuration."
    ],
    "sqlState" : "F0000"
  },
  "INVALID_EXPRESSION_ENCODER" : {
    "message" : [
      "Found an invalid expression encoder. Expects an instance of ExpressionEncoder but got . For more information consult '/api/java/index.html?org/apache/spark/sql/Encoder.html'."
    ],
    "sqlState" : "42001"
  },
  "INVALID_EXTERNAL_TYPE" : {
    "message" : [
      "The external type  is not valid for the type  at the expression ."
    ],
    "sqlState" : "42K0N"
  },
  "INVALID_EXTRACT_BASE_FIELD_TYPE" : {
    "message" : [
      "Can't extract a value from . Need a complex type [STRUCT, ARRAY, MAP] but got ."
    ],
    "sqlState" : "42000"
  },
  "INVALID_EXTRACT_FIELD" : {
    "message" : [
      "Cannot extract  from ."
    ],
    "sqlState" : "42601"
  },
  "INVALID_EXTRACT_FIELD_TYPE" : {
    "message" : [
      "Field name should be a non-null string literal, but it's ."
    ],
    "sqlState" : "42000"
  },
  "INVALID_FIELD_NAME" : {
    "message" : [
      "Field name  is invalid:  is not a struct."
    ],
    "sqlState" : "42000"
  },
  "INVALID_FORMAT" : {
    "message" : [
      "The format is invalid: ."
    ],
    "subClass" : {
      "CONT_THOUSANDS_SEPS" : {
        "message" : [
          "Thousands separators (, or G) must have digits in between them in the number format."
        ]
      },
      "CUR_MUST_BEFORE_DEC" : {
        "message" : [
          "Currency characters must appear before any decimal point in the number format."
        ]
      },
      "CUR_MUST_BEFORE_DIGIT" : {
        "message" : [
          "Currency characters must appear before digits in the number format."
        ]
      },
      "EMPTY" : {
        "message" : [
          "The number format string cannot be empty."
        ]
      },
      "ESC_AT_THE_END" : {
        "message" : [
          "The escape character is not allowed to end with."
        ]
      },
      "ESC_IN_THE_MIDDLE" : {
        "message" : [
          "The escape character is not allowed to precede ."
        ]
      },
      "MISMATCH_INPUT" : {
        "message" : [
          "The input   does not match the format."
        ]
      },
      "THOUSANDS_SEPS_MUST_BEFORE_DEC" : {
        "message" : [
          "Thousands separators (, or G) may not appear after the decimal point in the number format."
        ]
      },
      "UNEXPECTED_TOKEN" : {
        "message" : [
          "Found the unexpected  in the format string; the structure of the format string must match: `[MI|S]` `[$]` `[0|9|G|,]*` `[.|D]` `[0|9]*` `[$]` `[PR|MI|S]`."
        ]
      },
      "WRONG_NUM_DIGIT" : {
        "message" : [
          "The format string requires at least one number digit."
        ]
      },
      "WRONG_NUM_TOKEN" : {
        "message" : [
          "At most one  is allowed in the number format."
        ]
      }
    },
    "sqlState" : "42601"
  },
  "INVALID_FRACTION_OF_SECOND" : {
    "message" : [
      "The fraction of sec must be zero. Valid range is [0, 60]. If necessary set  to \"false\" to bypass this error."
    ],
    "sqlState" : "22023"
  },
  "INVALID_HANDLE" : {
    "message" : [
      "The handle  is invalid."
    ],
    "subClass" : {
      "FORMAT" : {
        "message" : [
          "Handle must be an UUID string of the format '00112233-4455-6677-8899-aabbccddeeff'"
        ]
      },
      "OPERATION_ABANDONED" : {
        "message" : [
          "Operation was considered abandoned because of inactivity and removed."
        ]
      },
      "OPERATION_ALREADY_EXISTS" : {
        "message" : [
          "Operation already exists."
        ]
      },
      "OPERATION_NOT_FOUND" : {
        "message" : [
          "Operation not found."
        ]
      },
      "SESSION_CHANGED" : {
        "message" : [
          "The existing Spark server driver instance has restarted. Please reconnect."
        ]
      },
      "SESSION_CLOSED" : {
        "message" : [
          "Session was closed."
        ]
      },
      "SESSION_NOT_FOUND" : {
        "message" : [
          "Session not found."
        ]
      }
    },
    "sqlState" : "HY000"
  },
  "INVALID_IDENTIFIER" : {
    "message" : [
      "The unquoted identifier  is invalid and must be back quoted as: ``.",
      "Unquoted identifiers can only contain ASCII letters ('a' - 'z', 'A' - 'Z'), digits ('0' - '9'), and underbar ('_').",
      "Unquoted identifiers must also not start with a digit.",
      "Different data sources and meta stores may impose additional restrictions on valid identifiers."
    ],
    "sqlState" : "42602"
  },
  "INVALID_INDEX_OF_ZERO" : {
    "message" : [
      "The index 0 is invalid. An index shall be either < 0 or > 0 (the first element has index 1)."
    ],
    "sqlState" : "22003"
  },
  "INVALID_INLINE_TABLE" : {
    "message" : [
      "Invalid inline table."
    ],
    "subClass" : {
      "CANNOT_EVALUATE_EXPRESSION_IN_INLINE_TABLE" : {
        "message" : [
          "Cannot evaluate the expression  in inline table definition."
        ]
      },
      "FAILED_SQL_EXPRESSION_EVALUATION" : {
        "message" : [
          "Failed to evaluate the SQL expression . Please check your syntax and ensure all required tables and columns are available."
        ]
      },
      "INCOMPATIBLE_TYPES_IN_INLINE_TABLE" : {
        "message" : [
          "Found incompatible types in the column  for inline table."
        ]
      },
      "NUM_COLUMNS_MISMATCH" : {
        "message" : [
          "Inline table expected  columns but found  columns in row ."
        ]
      }
    },
    "sqlState" : "42000"
  },
  "INVALID_INTERVAL_FORMAT" : {
    "message" : [
      "Error parsing '' to interval. Please ensure that the value provided is in a valid format for defining an interval. You can reference the documentation for the correct format."
    ],
    "subClass" : {
      "ARITHMETIC_EXCEPTION" : {
        "message" : [
          "Uncaught arithmetic exception while parsing ''."
        ]
      },
      "DAY_TIME_PARSING" : {
        "message" : [
          "Error parsing interval day-time string: ."
        ]
      },
      "INPUT_IS_EMPTY" : {
        "message" : [
          "Interval string cannot be empty."
        ]
      },
      "INPUT_IS_NULL" : {
        "message" : [
          "Interval string cannot be null."
        ]
      },
      "INTERVAL_PARSING" : {
        "message" : [
          "Error parsing interval  string."
        ]
      },
      "INVALID_FRACTION" : {
        "message" : [
          " cannot have fractional part."
        ]
      },
      "INVALID_PRECISION" : {
        "message" : [
          "Interval can only support nanosecond precision,  is out of range."
        ]
      },
      "INVALID_PREFIX" : {
        "message" : [
          "Invalid interval prefix ."
        ]
      },
      "INVALID_UNIT" : {
        "message" : [
          "Invalid unit ."
        ]
      },
      "INVALID_VALUE" : {
        "message" : [
          "Invalid value ."
        ]
      },
      "MISSING_NUMBER" : {
        "message" : [
          "Expect a number after  but hit EOL."
        ]
      },
      "MISSING_UNIT" : {
        "message" : [
          "Expect a unit name after  but hit EOL."
        ]
      },
      "SECOND_NANO_FORMAT" : {
        "message" : [
          "Interval string does not match second-nano format of ss.nnnnnnnnn."
        ]
      },
      "UNKNOWN_PARSING_ERROR" : {
        "message" : [
          "Unknown error when parsing ."
        ]
      },
      "UNMATCHED_FORMAT_STRING" : {
        "message" : [
          "Interval string does not match  format of  when cast to : ."
        ]
      },
      "UNMATCHED_FORMAT_STRING_WITH_NOTICE" : {
        "message" : [
          "Interval string does not match  format of  when cast to : . Set \"spark.sql.legacy.fromDayTimeString.enabled\" to \"true\" to restore the behavior before Spark 3.0."
        ]
      },
      "UNRECOGNIZED_NUMBER" : {
        "message" : [
          "Unrecognized number ."
        ]
      },
      "UNSUPPORTED_FROM_TO_EXPRESSION" : {
        "message" : [
          "Cannot support (interval ''  to ) expression."
        ]
      }
    },
    "sqlState" : "22006"
  },
  "INVALID_INVERSE_DISTRIBUTION_FUNCTION" : {
    "message" : [
      "Invalid inverse distribution function ."
    ],
    "subClass" : {
      "DISTINCT_UNSUPPORTED" : {
        "message" : [
          "Cannot use DISTINCT with WITHIN GROUP."
        ]
      },
      "WITHIN_GROUP_MISSING" : {
        "message" : [
          "WITHIN GROUP is required for inverse distribution function."
        ]
      },
      "WRONG_NUM_ORDERINGS" : {
        "message" : [
          "Requires  orderings in WITHIN GROUP but got ."
        ]
      }
    },
    "sqlState" : "42K0K"
  },
  "INVALID_JOIN_TYPE_FOR_JOINWITH" : {
    "message" : [
      "Invalid join type in joinWith: ."
    ],
    "sqlState" : "42613"
  },
  "INVALID_JSON_DATA_TYPE" : {
    "message" : [
      "Failed to convert the JSON string '' to a data type. Please enter a valid data type."
    ],
    "sqlState" : "2203G"
  },
  "INVALID_JSON_DATA_TYPE_FOR_COLLATIONS" : {
    "message" : [
      "Collations can only be applied to string types, but the JSON data type is ."
    ],
    "sqlState" : "2203G"
  },
  "INVALID_JSON_ROOT_FIELD" : {
    "message" : [
      "Cannot convert JSON root field to target Spark type."
    ],
    "sqlState" : "22032"
  },
  "INVALID_JSON_SCHEMA_MAP_TYPE" : {
    "message" : [
      "Input schema  can only contain STRING as a key type for a MAP."
    ],
    "sqlState" : "22032"
  },
  "INVALID_KRYO_SERIALIZER_BUFFER_SIZE" : {
    "message" : [
      "The value of the config \"\" must be less than 2048 MiB, but got  MiB."
    ],
    "sqlState" : "F0000"
  },
  "INVALID_LABEL_USAGE" : {
    "message" : [
      "The usage of the label  is invalid."
    ],
    "subClass" : {
      "DOES_NOT_EXIST" : {
        "message" : [
          "Label was used in the  statement, but the label does not belong to any surrounding block."
        ]
      },
      "ITERATE_IN_COMPOUND" : {
        "message" : [
          "ITERATE statement cannot be used with a label that belongs to a compound (BEGIN...END) body."
        ]
      }
    },
    "sqlState" : "42K0L"
  },
  "INVALID_LAMBDA_FUNCTION_CALL" : {
    "message" : [
      "Invalid lambda function call."
    ],
    "subClass" : {
      "DUPLICATE_ARG_NAMES" : {
        "message" : [
          "The lambda function has duplicate arguments . Please, consider to rename the argument names or set  to \"true\"."
        ]
      },
      "NON_HIGHER_ORDER_FUNCTION" : {
        "message" : [
          "A lambda function should only be used in a higher order function. However, its class is , which is not a higher order function."
        ]
      },
      "NUM_ARGS_MISMATCH" : {
        "message" : [
          "A higher order function expects  arguments, but got ."
        ]
      }
    },
    "sqlState" : "42K0D"
  },
  "INVALID_LATERAL_JOIN_TYPE" : {
    "message" : [
      "The  JOIN with LATERAL correlation is not allowed because an OUTER subquery cannot correlate to its join partner. Remove the LATERAL correlation or use an INNER JOIN, or LEFT OUTER JOIN instead."
    ],
    "sqlState" : "42613"
  },
  "INVALID_LIMIT_LIKE_EXPRESSION" : {
    "message" : [
      "The limit like expression  is invalid."
    ],
    "subClass" : {
      "DATA_TYPE" : {
        "message" : [
          "The  expression must be integer type, but got ."
        ]
      },
      "IS_NEGATIVE" : {
        "message" : [
          "The  expression must be equal to or greater than 0, but got ."
        ]
      },
      "IS_NULL" : {
        "message" : [
          "The evaluated  expression must not be null."
        ]
      },
      "IS_UNFOLDABLE" : {
        "message" : [
          "The  expression must evaluate to a constant value."
        ]
      }
    },
    "sqlState" : "42K0E"
  },
  "INVALID_LOCATION" : {
    "message" : [
      "The location name cannot be an invalid URI, but `` was given."
    ],
    "sqlState" : "42K05"
  },
  "INVALID_NON_DETERMINISTIC_EXPRESSIONS" : {
    "message" : [
      "The operator expects a deterministic expression, but the actual expression is ."
    ],
    "sqlState" : "42K0E"
  },
  "INVALID_NUMERIC_LITERAL_RANGE" : {
    "message" : [
      "Numeric literal  is outside the valid range for  with minimum value of  and maximum value of . Please adjust the value accordingly."
    ],
    "sqlState" : "22003"
  },
  "INVALID_OBSERVED_METRICS" : {
    "message" : [
      "Invalid observed metrics."
    ],
    "subClass" : {
      "AGGREGATE_EXPRESSION_WITH_DISTINCT_UNSUPPORTED" : {
        "message" : [
          "Aggregate expressions with DISTINCT are not allowed in observed metrics, but found: ."
        ]
      },
      "AGGREGATE_EXPRESSION_WITH_FILTER_UNSUPPORTED" : {
        "message" : [
          "Aggregate expression with FILTER predicate are not allowed in observed metrics, but found: ."
        ]
      },
      "MISSING_NAME" : {
        "message" : [
          "The observed metrics should be named: ."
        ]
      },
      "NESTED_AGGREGATES_UNSUPPORTED" : {
        "message" : [
          "Nested aggregates are not allowed in observed metrics, but found: ."
        ]
      },
      "NON_AGGREGATE_FUNC_ARG_IS_ATTRIBUTE" : {
        "message" : [
          "Attribute  can only be used as an argument to an aggregate function."
        ]
      },
      "NON_AGGREGATE_FUNC_ARG_IS_NON_DETERMINISTIC" : {
        "message" : [
          "Non-deterministic expression  can only be used as an argument to an aggregate function."
        ]
      },
      "WINDOW_EXPRESSIONS_UNSUPPORTED" : {
        "message" : [
          "Window expressions are not allowed in observed metrics, but found: ."
        ]
      }
    },
    "sqlState" : "42K0E"
  },
  "INVALID_OPTIONS" : {
    "message" : [
      "Invalid options:"
    ],
    "subClass" : {
      "NON_MAP_FUNCTION" : {
        "message" : [
          "Must use the `map()` function for options."
        ]
      },
      "NON_STRING_TYPE" : {
        "message" : [
          "A type of keys and values in `map()` must be string, but got ."
        ]
      }
    },
    "sqlState" : "42K06"
  },
  "INVALID_PANDAS_UDF_PLACEMENT" : {
    "message" : [
      "The group aggregate pandas UDF  cannot be invoked together with as other, non-pandas aggregate functions."
    ],
    "sqlState" : "0A000"
  },
  "INVALID_PARAMETER_VALUE" : {
    "message" : [
      "The value of parameter(s)  in  is invalid:"
    ],
    "subClass" : {
      "AES_CRYPTO_ERROR" : {
        "message" : [
          "detail message: "
        ]
      },
      "AES_IV_LENGTH" : {
        "message" : [
          "supports 16-byte CBC IVs and 12-byte GCM IVs, but got  bytes for ."
        ]
      },
      "AES_KEY_LENGTH" : {
        "message" : [
          "expects a binary value with 16, 24 or 32 bytes, but got  bytes."
        ]
      },
      "BINARY_FORMAT" : {
        "message" : [
          "expects one of binary formats 'base64', 'hex', 'utf-8', but got ."
        ]
      },
      "BIT_POSITION_RANGE" : {
        "message" : [
          "expects an integer value in [0, ), but got ."
        ]
      },
      "BOOLEAN" : {
        "message" : [
          "expects a boolean literal, but got ."
        ]
      },
      "CHARSET" : {
        "message" : [
          "expects one of the , but got ."
        ]
      },
      "DATETIME_UNIT" : {
        "message" : [
          "expects one of the units without quotes YEAR, QUARTER, MONTH, WEEK, DAY, DAYOFYEAR, HOUR, MINUTE, SECOND, MILLISECOND, MICROSECOND, but got the string literal ."
        ]
      },
      "DOUBLE" : {
        "message" : [
          "expects an double literal, but got ."
        ]
      },
      "DTYPE" : {
        "message" : [
          "Unsupported dtype: . Valid values: float64, float32."
        ]
      },
      "INTEGER" : {
        "message" : [
          "expects an integer literal, but got ."
        ]
      },
      "LENGTH" : {
        "message" : [
          "Expects `length` greater than or equal to 0, but got ."
        ]
      },
      "LONG" : {
        "message" : [
          "expects a long literal, but got ."
        ]
      },
      "NULL" : {
        "message" : [
          "expects a non-NULL value."
        ]
      },
      "PATTERN" : {
        "message" : [
          "."
        ]
      },
      "REGEX_GROUP_INDEX" : {
        "message" : [
          "Expects group index between 0 and , but got ."
        ]
      },
      "START" : {
        "message" : [
          "Expects a positive or a negative value for `start`, but got 0."
        ]
      },
      "STRING" : {
        "message" : [
          "expects a string literal, but got ."
        ]
      },
      "ZERO_INDEX" : {
        "message" : [
          "expects %1$, %2$ and so on, but got %0$."
        ]
      }
    },
    "sqlState" : "22023"
  },
  "INVALID_PARTITION_COLUMN_DATA_TYPE" : {
    "message" : [
      "Cannot use  for partition column."
    ],
    "sqlState" : "0A000"
  },
  "INVALID_PARTITION_OPERATION" : {
    "message" : [
      "The partition command is invalid."
    ],
    "subClass" : {
      "PARTITION_MANAGEMENT_IS_UNSUPPORTED" : {
        "message" : [
          "Table  does not support partition management."
        ]
      },
      "PARTITION_SCHEMA_IS_EMPTY" : {
        "message" : [
          "Table  is not partitioned."
        ]
      }
    },
    "sqlState" : "42601"
  },
  "INVALID_PROPERTY_KEY" : {
    "message" : [
      " is an invalid property key, please use quotes, e.g. SET =."
    ],
    "sqlState" : "42602"
  },
  "INVALID_PROPERTY_VALUE" : {
    "message" : [
      " is an invalid property value, please use quotes, e.g. SET ="
    ],
    "sqlState" : "42602"
  },
  "INVALID_QUERY_MIXED_QUERY_PARAMETERS" : {
    "message" : [
      "Parameterized query must either use positional, or named parameters, but not both."
    ],
    "sqlState" : "42613"
  },
  "INVALID_SAVE_MODE" : {
    "message" : [
      "The specified save mode  is invalid. Valid save modes include \"append\", \"overwrite\", \"ignore\", \"error\", \"errorifexists\", and \"default\"."
    ],
    "sqlState" : "42000"
  },
  "INVALID_SCHEMA" : {
    "message" : [
      "The input schema  is not a valid schema string."
    ],
    "subClass" : {
      "NON_STRING_LITERAL" : {
        "message" : [
          "The input expression must be string literal and not null."
        ]
      },
      "NON_STRUCT_TYPE" : {
        "message" : [
          "The input expression should be evaluated to struct type, but got ."
        ]
      },
      "PARSE_ERROR" : {
        "message" : [
          "Cannot parse the schema:",
          ""
        ]
      }
    },
    "sqlState" : "42K07"
  },
  "INVALID_SCHEMA_OR_RELATION_NAME" : {
    "message" : [
      " is not a valid name for tables/schemas. Valid names only contain alphabet characters, numbers and _."
    ],
    "sqlState" : "42602"
  },
  "INVALID_SET_SYNTAX" : {
    "message" : [
      "Expected format is 'SET', 'SET key', or 'SET key=value'. If you want to include special characters in key, or include semicolon in value, please use backquotes, e.g., SET `key`=`value`."
    ],
    "sqlState" : "42000"
  },
  "INVALID_SINGLE_VARIANT_COLUMN" : {
    "message" : [
      "The `singleVariantColumn` option cannot be used if there is also a user specified schema."
    ],
    "sqlState" : "42613"
  },
  "INVALID_SQL_ARG" : {
    "message" : [
      "The argument  of `sql()` is invalid. Consider to replace it either by a SQL literal or by collection constructor functions such as `map()`, `array()`, `struct()`."
    ],
    "sqlState" : "42K08"
  },
  "INVALID_SQL_SYNTAX" : {
    "message" : [
      "Invalid SQL syntax:"
    ],
    "subClass" : {
      "ANALYZE_TABLE_UNEXPECTED_NOSCAN" : {
        "message" : [
          "ANALYZE TABLE(S) ... COMPUTE STATISTICS ...  must be either NOSCAN or empty."
        ]
      },
      "CREATE_ROUTINE_WITH_IF_NOT_EXISTS_AND_REPLACE" : {
        "message" : [
          "Cannot create a routine with both IF NOT EXISTS and REPLACE specified."
        ]
      },
      "CREATE_TEMP_FUNC_WITH_DATABASE" : {
        "message" : [
          "CREATE TEMPORARY FUNCTION with specifying a database() is not allowed."
        ]
      },
      "CREATE_TEMP_FUNC_WITH_IF_NOT_EXISTS" : {
        "message" : [
          "CREATE TEMPORARY FUNCTION with IF NOT EXISTS is not allowed."
        ]
      },
      "EMPTY_PARTITION_VALUE" : {
        "message" : [
          "Partition key  must set value."
        ]
      },
      "FUNCTION_WITH_UNSUPPORTED_SYNTAX" : {
        "message" : [
          "The function  does not support ."
        ]
      },
      "INVALID_COLUMN_REFERENCE" : {
        "message" : [
          "Expected a column reference for transform : ."
        ]
      },
      "INVALID_TABLE_FUNCTION_IDENTIFIER_ARGUMENT_MISSING_PARENTHESES" : {
        "message" : [
          "Syntax error: call to table-valued function is invalid because parentheses are missing around the provided TABLE argument ; please surround this with parentheses and try again."
        ]
      },
      "INVALID_TABLE_VALUED_FUNC_NAME" : {
        "message" : [
          "Table valued function cannot specify database name: ."
        ]
      },
      "INVALID_WINDOW_REFERENCE" : {
        "message" : [
          "Window reference  is not a window specification."
        ]
      },
      "LATERAL_WITHOUT_SUBQUERY_OR_TABLE_VALUED_FUNC" : {
        "message" : [
          "LATERAL can only be used with subquery and table-valued functions."
        ]
      },
      "MULTI_PART_NAME" : {
        "message" : [
          " with multiple part function name() is not allowed."
        ]
      },
      "OPTION_IS_INVALID" : {
        "message" : [
          "option or property key  is invalid; only  are supported"
        ]
      },
      "REPETITIVE_WINDOW_DEFINITION" : {
        "message" : [
          "The definition of window  is repetitive."
        ]
      },
      "SHOW_FUNCTIONS_INVALID_PATTERN" : {
        "message" : [
          "Invalid pattern in SHOW FUNCTIONS: . It must be a \"STRING\" literal."
        ]
      },
      "SHOW_FUNCTIONS_INVALID_SCOPE" : {
        "message" : [
          "SHOW  FUNCTIONS not supported."
        ]
      },
      "TRANSFORM_WRONG_NUM_ARGS" : {
        "message" : [
          "The transform requires  parameters but the actual number is ."
        ]
      },
      "UNRESOLVED_WINDOW_REFERENCE" : {
        "message" : [
          "Cannot resolve window reference ."
        ]
      },
      "UNSUPPORTED_FUNC_NAME" : {
        "message" : [
          "Unsupported function name ."
        ]
      },
      "VARIABLE_TYPE_OR_DEFAULT_REQUIRED" : {
        "message" : [
          "The definition of a SQL variable requires either a datatype or a DEFAULT clause.",
          "For example, use `DECLARE name STRING` or `DECLARE name = 'SQL'` instead of `DECLARE name`."
        ]
      }
    },
    "sqlState" : "42000"
  },
  "INVALID_STATEMENT_FOR_EXECUTE_INTO" : {
    "message" : [
      "The INTO clause of EXECUTE IMMEDIATE is only valid for queries but the given statement is not a query: ."
    ],
    "sqlState" : "07501"
  },
  "INVALID_STATEMENT_OR_CLAUSE" : {
    "message" : [
      "The statement or clause:  is not valid."
    ],
    "sqlState" : "42601"
  },
  "INVALID_SUBQUERY_EXPRESSION" : {
    "message" : [
      "Invalid subquery:"
    ],
    "subClass" : {
      "SCALAR_SUBQUERY_RETURN_MORE_THAN_ONE_OUTPUT_COLUMN" : {
        "message" : [
          "Scalar subquery must return only one column, but got ."
        ]
      }
    },
    "sqlState" : "42823"
  },
  "INVALID_TEMP_OBJ_REFERENCE" : {
    "message" : [
      "Cannot create the persistent object  of the type  because it references to the temporary object  of the type . Please make the temporary object  persistent, or make the persistent object  temporary."
    ],
    "sqlState" : "42K0F"
  },
  "INVALID_TIME_TRAVEL_SPEC" : {
    "message" : [
      "Cannot specify both version and timestamp when time travelling the table."
    ],
    "sqlState" : "42K0E"
  },
  "INVALID_TIME_TRAVEL_TIMESTAMP_EXPR" : {
    "message" : [
      "The time travel timestamp expression  is invalid."
    ],
    "subClass" : {
      "INPUT" : {
        "message" : [
          "Cannot be casted to the \"TIMESTAMP\" type."
        ]
      },
      "NON_DETERMINISTIC" : {
        "message" : [
          "Must be deterministic."
        ]
      },
      "OPTION" : {
        "message" : [
          "Timestamp string in the options must be able to cast to TIMESTAMP type."
        ]
      },
      "UNEVALUABLE" : {
        "message" : [
          "Must be evaluable."
        ]
      }
    },
    "sqlState" : "42K0E"
  },
  "INVALID_TYPED_LITERAL" : {
    "message" : [
      "The value of the typed literal  is invalid: ."
    ],
    "sqlState" : "42604"
  },
  "INVALID_UDF_IMPLEMENTATION" : {
    "message" : [
      "Function  does not implement a ScalarFunction or AggregateFunction."
    ],
    "sqlState" : "38000"
  },
  "INVALID_URL" : {
    "message" : [
      "The url is invalid: . If necessary set  to \"false\" to bypass this error."
    ],
    "sqlState" : "22P02"
  },
  "INVALID_USAGE_OF_STAR_OR_REGEX" : {
    "message" : [
      "Invalid usage of  in ."
    ],
    "sqlState" : "42000"
  },
  "INVALID_UTF8_STRING" : {
    "message" : [
      "Invalid UTF8 byte sequence found in string: ."
    ],
    "sqlState" : "22029"
  },
  "INVALID_VARIABLE_DECLARATION" : {
    "message" : [
      "Invalid variable declaration."
    ],
    "subClass" : {
      "NOT_ALLOWED_IN_SCOPE" : {
        "message" : [
          "Declaration of the variable  is not allowed in this scope."
        ]
      },
      "ONLY_AT_BEGINNING" : {
        "message" : [
          "Variable  can only be declared at the beginning of the compound."
        ]
      }
    },
    "sqlState" : "42K0M"
  },
  "INVALID_VARIABLE_TYPE_FOR_QUERY_EXECUTE_IMMEDIATE" : {
    "message" : [
      "Variable type must be string type but got ."
    ],
    "sqlState" : "42K09"
  },
  "INVALID_VARIANT_CAST" : {
    "message" : [
      "The variant value `` cannot be cast into ``. Please use `try_variant_get` instead."
    ],
    "sqlState" : "22023"
  },
  "INVALID_VARIANT_FROM_PARQUET" : {
    "message" : [
      "Invalid variant."
    ],
    "subClass" : {
      "MISSING_FIELD" : {
        "message" : [
          "Missing  field."
        ]
      },
      "NULLABLE_OR_NOT_BINARY_FIELD" : {
        "message" : [
          "The  must be a non-nullable binary."
        ]
      },
      "WRONG_NUM_FIELDS" : {
        "message" : [
          "Variant column must contain exactly two fields."
        ]
      }
    },
    "sqlState" : "22023"
  },
  "INVALID_VARIANT_GET_PATH" : {
    "message" : [
      "The path `` is not a valid variant extraction path in ``.",
      "A valid path should start with `$` and is followed by zero or more segments like `[123]`, `.name`, `['name']`, or `[\"name\"]`."
    ],
    "sqlState" : "22023"
  },
  "INVALID_WHERE_CONDITION" : {
    "message" : [
      "The WHERE condition  contains invalid expressions: .",
      "Rewrite the query to avoid window functions, aggregate functions, and generator functions in the WHERE clause."
    ],
    "sqlState" : "42903"
  },
  "INVALID_WINDOW_SPEC_FOR_AGGREGATION_FUNC" : {
    "message" : [
      "Cannot specify ORDER BY or a window frame for ."
    ],
    "sqlState" : "42601"
  },
  "INVALID_WRITER_COMMIT_MESSAGE" : {
    "message" : [
      "The data source writer has generated an invalid number of commit messages. Expected exactly one writer commit message from each task, but received ."
    ],
    "sqlState" : "42KDE"
  },
  "INVALID_WRITE_DISTRIBUTION" : {
    "message" : [
      "The requested write distribution is invalid."
    ],
    "subClass" : {
      "PARTITION_NUM_AND_SIZE" : {
        "message" : [
          "The partition number and advisory partition size can't be specified at the same time."
        ]
      },
      "PARTITION_NUM_WITH_UNSPECIFIED_DISTRIBUTION" : {
        "message" : [
          "The number of partitions can't be specified with unspecified distribution."
        ]
      },
      "PARTITION_SIZE_WITH_UNSPECIFIED_DISTRIBUTION" : {
        "message" : [
          "The advisory partition size can't be specified with unspecified distribution."
        ]
      }
    },
    "sqlState" : "42000"
  },
  "JOIN_CONDITION_IS_NOT_BOOLEAN_TYPE" : {
    "message" : [
      "The join condition  has the invalid type , expected \"BOOLEAN\"."
    ],
    "sqlState" : "42K0E"
  },
  "KRYO_BUFFER_OVERFLOW" : {
    "message" : [
      "Kryo serialization failed: . To avoid this, increase \"\" value."
    ],
    "sqlState" : "54006"
  },
  "LABELS_MISMATCH" : {
    "message" : [
      "Begin label  does not match the end label ."
    ],
    "sqlState" : "42K0L"
  },
  "LOAD_DATA_PATH_NOT_EXISTS" : {
    "message" : [
      "LOAD DATA input path does not exist: ."
    ],
    "sqlState" : "42K03"
  },
  "LOCAL_MUST_WITH_SCHEMA_FILE" : {
    "message" : [
      "LOCAL must be used together with the schema of `file`, but got: ``."
    ],
    "sqlState" : "42601"
  },
  "LOCATION_ALREADY_EXISTS" : {
    "message" : [
      "Cannot name the managed table as , as its associated location  already exists. Please pick a different table name, or remove the existing location first."
    ],
    "sqlState" : "42710"
  },
  "MALFORMED_CHARACTER_CODING" : {
    "message" : [
      "Invalid value found when performing  with "
    ],
    "sqlState" : "22000"
  },
  "MALFORMED_CSV_RECORD" : {
    "message" : [
      "Malformed CSV record: "
    ],
    "sqlState" : "KD000"
  },
  "MALFORMED_PROTOBUF_MESSAGE" : {
    "message" : [
      "Malformed Protobuf messages are detected in message deserialization. Parse Mode: . To process malformed protobuf message as null result, try setting the option 'mode' as 'PERMISSIVE'."
    ],
    "sqlState" : "XX000"
  },
  "MALFORMED_RECORD_IN_PARSING" : {
    "message" : [
      "Malformed records are detected in record parsing: .",
      "Parse Mode: . To process malformed records as null result, try setting the option 'mode' as 'PERMISSIVE'."
    ],
    "subClass" : {
      "CANNOT_PARSE_JSON_ARRAYS_AS_STRUCTS" : {
        "message" : [
          "Parsing JSON arrays as structs is forbidden."
        ]
      },
      "CANNOT_PARSE_STRING_AS_DATATYPE" : {
        "message" : [
          "Cannot parse the value  of the field  as target spark data type  from the input type ."
        ]
      },
      "WITHOUT_SUGGESTION" : {
        "message" : [
          ""
        ]
      }
    },
    "sqlState" : "22023"
  },
  "MALFORMED_VARIANT" : {
    "message" : [
      "Variant binary is malformed. Please check the data source is valid."
    ],
    "sqlState" : "22023"
  },
  "MERGE_CARDINALITY_VIOLATION" : {
    "message" : [
      "The ON search condition of the MERGE statement matched a single row from the target table with multiple rows of the source table.",
      "This could result in the target row being operated on more than once with an update or delete operation and is not allowed."
    ],
    "sqlState" : "23K01"
  },
  "MISSING_AGGREGATION" : {
    "message" : [
      "The non-aggregating expression  is based on columns which are not participating in the GROUP BY clause.",
      "Add the columns or the expression to the GROUP BY, aggregate the expression, or use  if you do not care which of the values within a group is returned."
    ],
    "sqlState" : "42803"
  },
  "MISSING_ATTRIBUTES" : {
    "message" : [
      "Resolved attribute(s)  missing from  in operator ."
    ],
    "subClass" : {
      "RESOLVED_ATTRIBUTE_APPEAR_IN_OPERATION" : {
        "message" : [
          "Attribute(s) with the same name appear in the operation: .",
          "Please check if the right attribute(s) are used."
        ]
      },
      "RESOLVED_ATTRIBUTE_MISSING_FROM_INPUT" : {
        "message" : [
          ""
        ]
      }
    },
    "sqlState" : "XX000"
  },
  "MISSING_GROUP_BY" : {
    "message" : [
      "The query does not include a GROUP BY clause. Add GROUP BY or turn it into the window functions using OVER clauses."
    ],
    "sqlState" : "42803"
  },
  "MISSING_WINDOW_SPECIFICATION" : {
    "message" : [
      "Window specification is not defined in the WINDOW clause for . For more information about WINDOW clauses, please refer to '/sql-ref-syntax-qry-select-window.html'."
    ],
    "sqlState" : "42P20"
  },
  "MULTIPLE_TIME_TRAVEL_SPEC" : {
    "message" : [
      "Cannot specify time travel in both the time travel clause and options."
    ],
    "sqlState" : "42K0E"
  },
  "MULTIPLE_XML_DATA_SOURCE" : {
    "message" : [
      "Detected multiple data sources with the name  (). Please specify the fully qualified class name or remove  from the classpath."
    ],
    "sqlState" : "42710"
  },
  "MULTI_SOURCES_UNSUPPORTED_FOR_EXPRESSION" : {
    "message" : [
      "The expression  does not support more than one source."
    ],
    "sqlState" : "42K0E"
  },
  "MULTI_UDF_INTERFACE_ERROR" : {
    "message" : [
      "Not allowed to implement multiple UDF interfaces, UDF class ."
    ],
    "sqlState" : "0A000"
  },
  "NAMED_PARAMETERS_NOT_SUPPORTED" : {
    "message" : [
      "Named parameters are not supported for function ; please retry the query with positional arguments to the function call instead."
    ],
    "sqlState" : "4274K"
  },
  "NAMED_PARAMETER_SUPPORT_DISABLED" : {
    "message" : [
      "Cannot call function  because named argument references are not enabled here.",
      "In this case, the named argument reference was .",
      "Set \"spark.sql.allowNamedFunctionArguments\" to \"true\" to turn on feature."
    ],
    "sqlState" : "0A000"
  },
  "NESTED_AGGREGATE_FUNCTION" : {
    "message" : [
      "It is not allowed to use an aggregate function in the argument of another aggregate function. Please use the inner aggregate function in a sub-query."
    ],
    "sqlState" : "42607"
  },
  "NESTED_EXECUTE_IMMEDIATE" : {
    "message" : [
      "Nested EXECUTE IMMEDIATE commands are not allowed. Please ensure that the SQL query provided () does not contain another EXECUTE IMMEDIATE command."
    ],
    "sqlState" : "07501"
  },
  "NONEXISTENT_FIELD_NAME_IN_LIST" : {
    "message" : [
      "Field(s)  do(es) not exist. Available fields: "
    ],
    "sqlState" : "HV091"
  },
  "NON_FOLDABLE_ARGUMENT" : {
    "message" : [
      "The function  requires the parameter  to be a foldable expression of the type , but the actual argument is a non-foldable."
    ],
    "sqlState" : "42K08"
  },
  "NON_LAST_MATCHED_CLAUSE_OMIT_CONDITION" : {
    "message" : [
      "When there are more than one MATCHED clauses in a MERGE statement, only the last MATCHED clause can omit the condition."
    ],
    "sqlState" : "42613"
  },
  "NON_LAST_NOT_MATCHED_BY_SOURCE_CLAUSE_OMIT_CONDITION" : {
    "message" : [
      "When there are more than one NOT MATCHED BY SOURCE clauses in a MERGE statement, only the last NOT MATCHED BY SOURCE clause can omit the condition."
    ],
    "sqlState" : "42613"
  },
  "NON_LAST_NOT_MATCHED_BY_TARGET_CLAUSE_OMIT_CONDITION" : {
    "message" : [
      "When there are more than one NOT MATCHED [BY TARGET] clauses in a MERGE statement, only the last NOT MATCHED [BY TARGET] clause can omit the condition."
    ],
    "sqlState" : "42613"
  },
  "NON_LITERAL_PIVOT_VALUES" : {
    "message" : [
      "Literal expressions required for pivot values, found ."
    ],
    "sqlState" : "42K08"
  },
  "NON_PARTITION_COLUMN" : {
    "message" : [
      "PARTITION clause cannot contain the non-partition column: ."
    ],
    "sqlState" : "42000"
  },
  "NON_TIME_WINDOW_NOT_SUPPORTED_IN_STREAMING" : {
    "message" : [
      "Window function is not supported in  (as column ) on streaming DataFrames/Datasets.",
      "Structured Streaming only supports time-window aggregation using the WINDOW function. (window specification: )"
    ],
    "sqlState" : "42KDE"
  },
  "NOT_ALLOWED_IN_FROM" : {
    "message" : [
      "Not allowed in the FROM clause:"
    ],
    "subClass" : {
      "LATERAL_WITH_PIVOT" : {
        "message" : [
          "LATERAL together with PIVOT."
        ]
      },
      "LATERAL_WITH_UNPIVOT" : {
        "message" : [
          "LATERAL together with UNPIVOT."
        ]
      },
      "UNPIVOT_WITH_PIVOT" : {
        "message" : [
          "UNPIVOT together with PIVOT."
        ]
      }
    },
    "sqlState" : "42601"
  },
  "NOT_A_CONSTANT_STRING" : {
    "message" : [
      "The expression  used for the routine or clause  must be a constant STRING which is NOT NULL."
    ],
    "subClass" : {
      "NOT_CONSTANT" : {
        "message" : [
          "To be considered constant the expression must not depend on any columns, contain a subquery, or invoke a non deterministic function such as rand()."
        ]
      },
      "NULL" : {
        "message" : [
          "The expression evaluates to NULL."
        ]
      },
      "WRONG_TYPE" : {
        "message" : [
          "The data type of the expression is ."
        ]
      }
    },
    "sqlState" : "42601"
  },
  "NOT_A_PARTITIONED_TABLE" : {
    "message" : [
      "Operation  is not allowed for  because it is not a partitioned table."
    ],
    "sqlState" : "42809"
  },
  "NOT_NULL_ASSERT_VIOLATION" : {
    "message" : [
      "NULL value appeared in non-nullable field: If the schema is inferred from a Scala tuple/case class, or a Java bean, please try to use scala.Option[_] or other nullable types (such as java.lang.Integer instead of int/scala.Int)."
    ],
    "sqlState" : "42000"
  },
  "NOT_NULL_CONSTRAINT_VIOLATION" : {
    "message" : [
      "Assigning a NULL is not allowed here."
    ],
    "subClass" : {
      "ARRAY_ELEMENT" : {
        "message" : [
          "The array  is defined to contain only elements that are NOT NULL."
        ]
      },
      "MAP_VALUE" : {
        "message" : [
          "The map  is defined to contain only values that are NOT NULL."
        ]
      }
    },
    "sqlState" : "42000"
  },
  "NOT_SUPPORTED_CHANGE_COLUMN" : {
    "message" : [
      "ALTER TABLE ALTER/CHANGE COLUMN is not supported for changing 's column  with type  to  with type ."
    ],
    "sqlState" : "0A000"
  },
  "NOT_SUPPORTED_COMMAND_FOR_V2_TABLE" : {
    "message" : [
      " is not supported for v2 tables."
    ],
    "sqlState" : "0A000"
  },
  "NOT_SUPPORTED_COMMAND_WITHOUT_HIVE_SUPPORT" : {
    "message" : [
      " is not supported, if you want to enable it, please set \"spark.sql.catalogImplementation\" to \"hive\"."
    ],
    "sqlState" : "0A000"
  },
  "NOT_SUPPORTED_IN_JDBC_CATALOG" : {
    "message" : [
      "Not supported command in JDBC catalog:"
    ],
    "subClass" : {
      "COMMAND" : {
        "message" : [
          ""
        ]
      },
      "COMMAND_WITH_PROPERTY" : {
        "message" : [
          " with property ."
        ]
      }
    },
    "sqlState" : "0A000"
  },
  "NOT_UNRESOLVED_ENCODER" : {
    "message" : [
      "Unresolved encoder expected, but  was found."
    ],
    "sqlState" : "42601"
  },
  "NO_DEFAULT_COLUMN_VALUE_AVAILABLE" : {
    "message" : [
      "Can't determine the default value for  since it is not nullable and it has no default value."
    ],
    "sqlState" : "42608"
  },
  "NO_HANDLER_FOR_UDAF" : {
    "message" : [
      "No handler for UDAF ''. Use sparkSession.udf.register(...) instead."
    ],
    "sqlState" : "42000"
  },
  "NO_MERGE_ACTION_SPECIFIED" : {
    "message" : [
      "df.mergeInto needs to be followed by at least one of whenMatched/whenNotMatched/whenNotMatchedBySource."
    ],
    "sqlState" : "42K0E"
  },
  "NO_SQL_TYPE_IN_PROTOBUF_SCHEMA" : {
    "message" : [
      "Cannot find  in Protobuf schema."
    ],
    "sqlState" : "42S22"
  },
  "NO_UDF_INTERFACE" : {
    "message" : [
      "UDF class  doesn't implement any UDF interface."
    ],
    "sqlState" : "38000"
  },
  "NULLABLE_COLUMN_OR_FIELD" : {
    "message" : [
      "Column or field  is nullable while it's required to be non-nullable."
    ],
    "sqlState" : "42000"
  },
  "NULLABLE_ROW_ID_ATTRIBUTES" : {
    "message" : [
      "Row ID attributes cannot be nullable: ."
    ],
    "sqlState" : "42000"
  },
  "NULL_DATA_SOURCE_OPTION" : {
    "message" : [
      "Data source read/write option  cannot have null value."
    ],
    "sqlState" : "22024"
  },
  "NULL_MAP_KEY" : {
    "message" : [
      "Cannot use null as map key."
    ],
    "sqlState" : "2200E"
  },
  "NULL_QUERY_STRING_EXECUTE_IMMEDIATE" : {
    "message" : [
      "Execute immediate requires a non-null variable as the query string, but the provided variable  is null."
    ],
    "sqlState" : "22004"
  },
  "NUMERIC_OUT_OF_SUPPORTED_RANGE" : {
    "message" : [
      "The value  cannot be interpreted as a numeric since it has more than 38 digits."
    ],
    "sqlState" : "22003"
  },
  "NUMERIC_VALUE_OUT_OF_RANGE" : {
    "message" : [
      ""
    ],
    "subClass" : {
      "WITHOUT_SUGGESTION" : {
        "message" : [
          "The  rounded half up from  cannot be represented as Decimal(, )."
        ]
      },
      "WITH_SUGGESTION" : {
        "message" : [
          " cannot be represented as Decimal(, ). If necessary set  to \"false\" to bypass this error, and return NULL instead."
        ]
      }
    },
    "sqlState" : "22003"
  },
  "NUM_COLUMNS_MISMATCH" : {
    "message" : [
      " can only be performed on inputs with the same number of columns, but the first input has  columns and the  input has  columns."
    ],
    "sqlState" : "42826"
  },
  "NUM_TABLE_VALUE_ALIASES_MISMATCH" : {
    "message" : [
      "Number of given aliases does not match number of output columns.",
      "Function name: ; number of aliases: ; number of output columns: ."
    ],
    "sqlState" : "42826"
  },
  "OPERATION_CANCELED" : {
    "message" : [
      "Operation has been canceled."
    ],
    "sqlState" : "HY008"
  },
  "ORDER_BY_POS_OUT_OF_RANGE" : {
    "message" : [
      "ORDER BY position  is not in select list (valid range is [1, ])."
    ],
    "sqlState" : "42805"
  },
  "PARQUET_CONVERSION_FAILURE" : {
    "message" : [
      "Unable to create a Parquet converter for the data type  whose Parquet type is ."
    ],
    "subClass" : {
      "DECIMAL" : {
        "message" : [
          "Parquet DECIMAL type can only be backed by INT32, INT64, FIXED_LEN_BYTE_ARRAY, or BINARY."
        ]
      },
      "UNSUPPORTED" : {
        "message" : [
          "Please modify the conversion making sure it is supported."
        ]
      },
      "WITHOUT_DECIMAL_METADATA" : {
        "message" : [
          "Please read this column/field as Spark BINARY type."
        ]
      }
    },
    "sqlState" : "42846"
  },
  "PARQUET_TYPE_ILLEGAL" : {
    "message" : [
      "Illegal Parquet type: ."
    ],
    "sqlState" : "42846"
  },
  "PARQUET_TYPE_NOT_RECOGNIZED" : {
    "message" : [
      "Unrecognized Parquet type: ."
    ],
    "sqlState" : "42846"
  },
  "PARQUET_TYPE_NOT_SUPPORTED" : {
    "message" : [
      "Parquet type not yet supported: ."
    ],
    "sqlState" : "42846"
  },
  "PARSE_EMPTY_STATEMENT" : {
    "message" : [
      "Syntax error, unexpected empty statement."
    ],
    "sqlState" : "42617"
  },
  "PARSE_SYNTAX_ERROR" : {
    "message" : [
      "Syntax error at or near ."
    ],
    "sqlState" : "42601"
  },
  "PARTITIONS_ALREADY_EXIST" : {
    "message" : [
      "Cannot ADD or RENAME TO partition(s)  in table  because they already exist.",
      "Choose a different name, drop the existing partition, or add the IF NOT EXISTS clause to tolerate a pre-existing partition."
    ],
    "sqlState" : "428FT"
  },
  "PARTITIONS_NOT_FOUND" : {
    "message" : [
      "The partition(s)  cannot be found in table .",
      "Verify the partition specification and table name.",
      "To tolerate the error on drop use ALTER TABLE … DROP IF EXISTS PARTITION."
    ],
    "sqlState" : "428FT"
  },
  "PATH_ALREADY_EXISTS" : {
    "message" : [
      "Path  already exists. Set mode as \"overwrite\" to overwrite the existing path."
    ],
    "sqlState" : "42K04"
  },
  "PATH_NOT_FOUND" : {
    "message" : [
      "Path does not exist: ."
    ],
    "sqlState" : "42K03"
  },
  "PIPE_OPERATOR_SELECT_CONTAINS_AGGREGATE_FUNCTION" : {
    "message" : [
      "Aggregate function  is not allowed when using the pipe operator |> SELECT clause; please use the pipe operator |> AGGREGATE clause instead"
    ],
    "sqlState" : "0A000"
  },
  "PIVOT_VALUE_DATA_TYPE_MISMATCH" : {
    "message" : [
      "Invalid pivot value '': value data type  does not match pivot column data type ."
    ],
    "sqlState" : "42K09"
  },
  "PLAN_VALIDATION_FAILED_RULE_EXECUTOR" : {
    "message" : [
      "The input plan of  is invalid: "
    ],
    "sqlState" : "XXKD0"
  },
  "PLAN_VALIDATION_FAILED_RULE_IN_BATCH" : {
    "message" : [
      "Rule  in batch  generated an invalid plan: "
    ],
    "sqlState" : "XXKD0"
  },
  "PROTOBUF_DEPENDENCY_NOT_FOUND" : {
    "message" : [
      "Could not find dependency: ."
    ],
    "sqlState" : "42K0G"
  },
  "PROTOBUF_DESCRIPTOR_FILE_NOT_FOUND" : {
    "message" : [
      "Error reading Protobuf descriptor file at path: ."
    ],
    "sqlState" : "42K0G"
  },
  "PROTOBUF_FIELD_MISSING" : {
    "message" : [
      "Searching for  in Protobuf schema at  gave  matches. Candidates: ."
    ],
    "sqlState" : "42K0G"
  },
  "PROTOBUF_FIELD_MISSING_IN_SQL_SCHEMA" : {
    "message" : [
      "Found  in Protobuf schema but there is no match in the SQL schema."
    ],
    "sqlState" : "42K0G"
  },
  "PROTOBUF_FIELD_TYPE_MISMATCH" : {
    "message" : [
      "Type mismatch encountered for field: ."
    ],
    "sqlState" : "42K0G"
  },
  "PROTOBUF_MESSAGE_NOT_FOUND" : {
    "message" : [
      "Unable to locate Message  in Descriptor."
    ],
    "sqlState" : "42K0G"
  },
  "PROTOBUF_NOT_LOADED_SQL_FUNCTIONS_UNUSABLE" : {
    "message" : [
      "Cannot call the  SQL function because the Protobuf data source is not loaded.",
      "Please restart your job or session with the 'spark-protobuf' package loaded, such as by using the --packages argument on the command line, and then retry your query or command again."
    ],
    "sqlState" : "22KD3"
  },
  "PROTOBUF_TYPE_NOT_SUPPORT" : {
    "message" : [
      "Protobuf type not yet supported: ."
    ],
    "sqlState" : "42K0G"
  },
  "PYTHON_DATA_SOURCE_ERROR" : {
    "message" : [
      "Failed to  Python data source : "
    ],
    "sqlState" : "38000"
  },
  "PYTHON_STREAMING_DATA_SOURCE_RUNTIME_ERROR" : {
    "message" : [
      "Failed when Python streaming data source perform : "
    ],
    "sqlState" : "38000"
  },
  "RECURSIVE_PROTOBUF_SCHEMA" : {
    "message" : [
      "Found recursive reference in Protobuf schema, which can not be processed by Spark by default: . try setting the option `recursive.fields.max.depth` 1 to 10. Going beyond 10 levels of recursion is not allowed."
    ],
    "sqlState" : "42K0G"
  },
  "RECURSIVE_VIEW" : {
    "message" : [
      "Recursive view  detected (cycle: )."
    ],
    "sqlState" : "42K0H"
  },
  "REF_DEFAULT_VALUE_IS_NOT_ALLOWED_IN_PARTITION" : {
    "message" : [
      "References to DEFAULT column values are not allowed within the PARTITION clause."
    ],
    "sqlState" : "42601"
  },
  "RENAME_SRC_PATH_NOT_FOUND" : {
    "message" : [
      "Failed to rename as  was not found."
    ],
    "sqlState" : "42K03"
  },
  "REPEATED_CLAUSE" : {
    "message" : [
      "The  clause may be used at most once per  operation."
    ],
    "sqlState" : "42614"
  },
  "REQUIRED_PARAMETER_NOT_FOUND" : {
    "message" : [
      "Cannot invoke routine  because the parameter named  is required, but the routine call did not supply a value. Please update the routine call to supply an argument value (either positionally at index  or by name) and retry the query again."
    ],
    "sqlState" : "4274K"
  },
  "REQUIRES_SINGLE_PART_NAMESPACE" : {
    "message" : [
      " requires a single-part namespace, but got ."
    ],
    "sqlState" : "42K05"
  },
  "ROUTINE_ALREADY_EXISTS" : {
    "message" : [
      "Cannot create the   because a  of that name already exists.",
      "Choose a different name, drop or replace the existing , or add the IF NOT EXISTS clause to tolerate a pre-existing ."
    ],
    "sqlState" : "42723"
  },
  "ROUTINE_NOT_FOUND" : {
    "message" : [
      "The routine  cannot be found. Verify the spelling and correctness of the schema and catalog.",
      "If you did not qualify the name with a schema and catalog, verify the current_schema() output, or qualify the name with the correct schema and catalog.",
      "To tolerate the error on drop use DROP ... IF EXISTS."
    ],
    "sqlState" : "42883"
  },
  "ROW_SUBQUERY_TOO_MANY_ROWS" : {
    "message" : [
      "More than one row returned by a subquery used as a row."
    ],
    "sqlState" : "21000"
  },
  "ROW_VALUE_IS_NULL" : {
    "message" : [
      "Found NULL in a row at the index , expected a non-NULL value."
    ],
    "sqlState" : "22023"
  },
  "RULE_ID_NOT_FOUND" : {
    "message" : [
      "Not found an id for the rule name \"\". Please modify RuleIdCollection.scala if you are adding a new rule."
    ],
    "sqlState" : "22023"
  },
  "SCALAR_SUBQUERY_IS_IN_GROUP_BY_OR_AGGREGATE_FUNCTION" : {
    "message" : [
      "The correlated scalar subquery '' is neither present in GROUP BY, nor in an aggregate function.",
      "Add it to GROUP BY using ordinal position or wrap it in `first()` (or `first_value`) if you don't care which value you get."
    ],
    "sqlState" : "0A000"
  },
  "SCALAR_SUBQUERY_TOO_MANY_ROWS" : {
    "message" : [
      "More than one row returned by a subquery used as an expression."
    ],
    "sqlState" : "21000"
  },
  "SCHEMA_ALREADY_EXISTS" : {
    "message" : [
      "Cannot create schema  because it already exists.",
      "Choose a different name, drop the existing schema, or add the IF NOT EXISTS clause to tolerate pre-existing schema."
    ],
    "sqlState" : "42P06"
  },
  "SCHEMA_NOT_EMPTY" : {
    "message" : [
      "Cannot drop a schema  because it contains objects.",
      "Use DROP SCHEMA ... CASCADE to drop the schema and all its objects."
    ],
    "sqlState" : "2BP01"
  },
  "SCHEMA_NOT_FOUND" : {
    "message" : [
      "The schema  cannot be found. Verify the spelling and correctness of the schema and catalog.",
      "If you did not qualify the name with a catalog, verify the current_schema() output, or qualify the name with the correct catalog.",
      "To tolerate the error on drop use DROP SCHEMA IF EXISTS."
    ],
    "sqlState" : "42704"
  },
  "SECOND_FUNCTION_ARGUMENT_NOT_INTEGER" : {
    "message" : [
      "The second argument of  function needs to be an integer."
    ],
    "sqlState" : "22023"
  },
  "SEED_EXPRESSION_IS_UNFOLDABLE" : {
    "message" : [
      "The seed expression  of the expression  must be foldable."
    ],
    "sqlState" : "42K08"
  },
  "SHOW_COLUMNS_WITH_CONFLICT_NAMESPACE" : {
    "message" : [
      "SHOW COLUMNS with conflicting namespaces:  != ."
    ],
    "sqlState" : "42K05"
  },
  "SORT_BY_WITHOUT_BUCKETING" : {
    "message" : [
      "sortBy must be used together with bucketBy."
    ],
    "sqlState" : "42601"
  },
  "SPARK_JOB_CANCELLED" : {
    "message" : [
      "Job  cancelled "
    ],
    "sqlState" : "XXKDA"
  },
  "SPECIFY_BUCKETING_IS_NOT_ALLOWED" : {
    "message" : [
      "A CREATE TABLE without explicit column list cannot specify bucketing information.",
      "Please use the form with explicit column list and specify bucketing information.",
      "Alternatively, allow bucketing information to be inferred by omitting the clause."
    ],
    "sqlState" : "42601"
  },
  "SPECIFY_CLUSTER_BY_WITH_BUCKETING_IS_NOT_ALLOWED" : {
    "message" : [
      "Cannot specify both CLUSTER BY and CLUSTERED BY INTO BUCKETS."
    ],
    "sqlState" : "42908"
  },
  "SPECIFY_CLUSTER_BY_WITH_PARTITIONED_BY_IS_NOT_ALLOWED" : {
    "message" : [
      "Cannot specify both CLUSTER BY and PARTITIONED BY."
    ],
    "sqlState" : "42908"
  },
  "SPECIFY_PARTITION_IS_NOT_ALLOWED" : {
    "message" : [
      "A CREATE TABLE without explicit column list cannot specify PARTITIONED BY.",
      "Please use the form with explicit column list and specify PARTITIONED BY.",
      "Alternatively, allow partitioning to be inferred by omitting the PARTITION BY clause."
    ],
    "sqlState" : "42601"
  },
  "SQL_CONF_NOT_FOUND" : {
    "message" : [
      "The SQL config  cannot be found. Please verify that the config exists."
    ],
    "sqlState" : "42K0I"
  },
  "STAR_GROUP_BY_POS" : {
    "message" : [
      "Star (*) is not allowed in a select list when GROUP BY an ordinal position is used."
    ],
    "sqlState" : "0A000"
  },
  "STATEFUL_PROCESSOR_CANNOT_PERFORM_OPERATION_WITH_INVALID_HANDLE_STATE" : {
    "message" : [
      "Failed to perform stateful processor operation= with invalid handle state=."
    ],
    "sqlState" : "42802"
  },
  "STATEFUL_PROCESSOR_CANNOT_PERFORM_OPERATION_WITH_INVALID_TIME_MODE" : {
    "message" : [
      "Failed to perform stateful processor operation= with invalid timeMode="
    ],
    "sqlState" : "42802"
  },
  "STATEFUL_PROCESSOR_CANNOT_REINITIALIZE_STATE_ON_KEY" : {
    "message" : [
      "Cannot re-initialize state on the same grouping key during initial state handling for stateful processor. Invalid grouping key=."
    ],
    "sqlState" : "42802"
  },
  "STATEFUL_PROCESSOR_DUPLICATE_STATE_VARIABLE_DEFINED" : {
    "message" : [
      "State variable with name  has already been defined in the StatefulProcessor."
    ],
    "sqlState" : "42802"
  },
  "STATEFUL_PROCESSOR_INCORRECT_TIME_MODE_TO_ASSIGN_TTL" : {
    "message" : [
      "Cannot use TTL for state= in timeMode=, use TimeMode.ProcessingTime() instead."
    ],
    "sqlState" : "42802"
  },
  "STATEFUL_PROCESSOR_TTL_DURATION_MUST_BE_POSITIVE" : {
    "message" : [
      "TTL duration must be greater than zero for State store operation= on state=."
    ],
    "sqlState" : "42802"
  },
  "STATEFUL_PROCESSOR_UNKNOWN_TIME_MODE" : {
    "message" : [
      "Unknown time mode . Accepted timeMode modes are 'none', 'processingTime', 'eventTime'"
    ],
    "sqlState" : "42802"
  },
  "STATE_STORE_CANNOT_CREATE_COLUMN_FAMILY_WITH_RESERVED_CHARS" : {
    "message" : [
      "Failed to create column family with unsupported starting character and name=."
    ],
    "sqlState" : "42802"
  },
  "STATE_STORE_CANNOT_USE_COLUMN_FAMILY_WITH_INVALID_NAME" : {
    "message" : [
      "Failed to perform column family operation= with invalid name=. Column family name cannot be empty or include leading/trailing spaces or use the reserved keyword=default"
    ],
    "sqlState" : "42802"
  },
  "STATE_STORE_COLUMN_FAMILY_SCHEMA_INCOMPATIBLE" : {
    "message" : [
      "Incompatible schema transformation with column family=, oldSchema=, newSchema=."
    ],
    "sqlState" : "42802"
  },
  "STATE_STORE_HANDLE_NOT_INITIALIZED" : {
    "message" : [
      "The handle has not been initialized for this StatefulProcessor.",
      "Please only use the StatefulProcessor within the transformWithState operator."
    ],
    "sqlState" : "42802"
  },
  "STATE_STORE_INCORRECT_NUM_ORDERING_COLS_FOR_RANGE_SCAN" : {
    "message" : [
      "Incorrect number of ordering ordinals= for range scan encoder. The number of ordering ordinals cannot be zero or greater than number of schema columns."
    ],
    "sqlState" : "42802"
  },
  "STATE_STORE_INCORRECT_NUM_PREFIX_COLS_FOR_PREFIX_SCAN" : {
    "message" : [
      "Incorrect number of prefix columns= for prefix scan encoder. Prefix columns cannot be zero or greater than or equal to num of schema columns."
    ],
    "sqlState" : "42802"
  },
  "STATE_STORE_INVALID_CONFIG_AFTER_RESTART" : {
    "message" : [
      "Cannot change  from  to  between restarts. Please set  to , or restart with a new checkpoint directory."
    ],
    "sqlState" : "42K06"
  },
  "STATE_STORE_INVALID_PROVIDER" : {
    "message" : [
      "The given State Store Provider  does not extend org.apache.spark.sql.execution.streaming.state.StateStoreProvider."
    ],
    "sqlState" : "42K06"
  },
  "STATE_STORE_INVALID_VARIABLE_TYPE_CHANGE" : {
    "message" : [
      "Cannot change  to  between query restarts. Please set  to , or restart with a new checkpoint directory."
    ],
    "sqlState" : "42K06"
  },
  "STATE_STORE_KEY_ROW_FORMAT_VALIDATION_FAILURE" : {
    "message" : [
      "The streaming query failed to validate written state for key row.",
      "The following reasons may cause this:",
      "1. An old Spark version wrote the checkpoint that is incompatible with the current one",
      "2. Corrupt checkpoint files",
      "3. The query changed in an incompatible way between restarts",
      "For the first case, use a new checkpoint directory or use the original Spark version",
      "to process the streaming state. Retrieved error_message="
    ],
    "sqlState" : "XX000"
  },
  "STATE_STORE_KEY_SCHEMA_NOT_COMPATIBLE" : {
    "message" : [
      "Provided key schema does not match existing state key schema.",
      "Please check number and type of fields.",
      "Existing key_schema= and new key_schema=.",
      "If you want to force running the query without schema validation, please set spark.sql.streaming.stateStore.stateSchemaCheck to false.",
      "However, please note that running the query with incompatible schema could cause non-deterministic behavior."
    ],
    "sqlState" : "XXKST"
  },
  "STATE_STORE_NULL_TYPE_ORDERING_COLS_NOT_SUPPORTED" : {
    "message" : [
      "Null type ordering column with name= at index= is not supported for range scan encoder."
    ],
    "sqlState" : "42802"
  },
  "STATE_STORE_PROVIDER_DOES_NOT_SUPPORT_FINE_GRAINED_STATE_REPLAY" : {
    "message" : [
      "The given State Store Provider  does not extend org.apache.spark.sql.execution.streaming.state.SupportsFineGrainedReplay.",
      "Therefore, it does not support option snapshotStartBatchId or readChangeFeed in state data source."
    ],
    "sqlState" : "42K06"
  },
  "STATE_STORE_UNSUPPORTED_OPERATION" : {
    "message" : [
      " operation not supported with "
    ],
    "sqlState" : "XXKST"
  },
  "STATE_STORE_UNSUPPORTED_OPERATION_BINARY_INEQUALITY" : {
    "message" : [
      "Binary inequality column is not supported with state store. Provided schema: ."
    ],
    "sqlState" : "XXKST"
  },
  "STATE_STORE_UNSUPPORTED_OPERATION_ON_MISSING_COLUMN_FAMILY" : {
    "message" : [
      "State store operation= not supported on missing column family=."
    ],
    "sqlState" : "42802"
  },
  "STATE_STORE_VALUE_ROW_FORMAT_VALIDATION_FAILURE" : {
    "message" : [
      "The streaming query failed to validate written state for value row.",
      "The following reasons may cause this:",
      "1. An old Spark version wrote the checkpoint that is incompatible with the current one",
      "2. Corrupt checkpoint files",
      "3. The query changed in an incompatible way between restarts",
      "For the first case, use a new checkpoint directory or use the original Spark version",
      "to process the streaming state. Retrieved error_message="
    ],
    "sqlState" : "XX000"
  },
  "STATE_STORE_VALUE_SCHEMA_NOT_COMPATIBLE" : {
    "message" : [
      "Provided value schema does not match existing state value schema.",
      "Please check number and type of fields.",
      "Existing value_schema= and new value_schema=.",
      "If you want to force running the query without schema validation, please set spark.sql.streaming.stateStore.stateSchemaCheck to false.",
      "However, please note that running the query with incompatible schema could cause non-deterministic behavior."
    ],
    "sqlState" : "XXKST"
  },
  "STATE_STORE_VARIABLE_SIZE_ORDERING_COLS_NOT_SUPPORTED" : {
    "message" : [
      "Variable size ordering column with name= at index= is not supported for range scan encoder."
    ],
    "sqlState" : "42802"
  },
  "STATIC_PARTITION_COLUMN_IN_INSERT_COLUMN_LIST" : {
    "message" : [
      "Static partition column  is also specified in the column list."
    ],
    "sqlState" : "42713"
  },
  "STDS_COMMITTED_BATCH_UNAVAILABLE" : {
    "message" : [
      "No committed batch found, checkpoint location: . Ensure that the query has run and committed any microbatch before stopping."
    ],
    "sqlState" : "KD006"
  },
  "STDS_CONFLICT_OPTIONS" : {
    "message" : [
      "The options  cannot be specified together. Please specify the one."
    ],
    "sqlState" : "42613"
  },
  "STDS_FAILED_TO_READ_OPERATOR_METADATA" : {
    "message" : [
      "Failed to read the operator metadata for checkpointLocation= and batchId=.",
      "Either the file does not exist, or the file is corrupted.",
      "Rerun the streaming query to construct the operator metadata, and report to the corresponding communities or vendors if the error persists."
    ],
    "sqlState" : "42K03"
  },
  "STDS_FAILED_TO_READ_STATE_SCHEMA" : {
    "message" : [
      "Failed to read the state schema. Either the file does not exist, or the file is corrupted. options: .",
      "Rerun the streaming query to construct the state schema, and report to the corresponding communities or vendors if the error persists."
    ],
    "sqlState" : "42K03"
  },
  "STDS_INTERNAL_ERROR" : {
    "message" : [
      "Internal error: ",
      "Please, report this bug to the corresponding communities or vendors, and provide the full stack trace."
    ],
    "sqlState" : "XXKST"
  },
  "STDS_INVALID_OPTION_VALUE" : {
    "message" : [
      "Invalid value for source option '':"
    ],
    "subClass" : {
      "IS_EMPTY" : {
        "message" : [
          "cannot be empty."
        ]
      },
      "IS_NEGATIVE" : {
        "message" : [
          "cannot be negative."
        ]
      },
      "WITH_MESSAGE" : {
        "message" : [
          ""
        ]
      }
    },
    "sqlState" : "42616"
  },
  "STDS_NO_PARTITION_DISCOVERED_IN_STATE_STORE" : {
    "message" : [
      "The state does not have any partition. Please double check that the query points to the valid state. options: "
    ],
    "sqlState" : "KD006"
  },
  "STDS_OFFSET_LOG_UNAVAILABLE" : {
    "message" : [
      "The offset log for  does not exist, checkpoint location: .",
      "Please specify the batch ID which is available for querying - you can query the available batch IDs via using state metadata data source."
    ],
    "sqlState" : "KD006"
  },
  "STDS_OFFSET_METADATA_LOG_UNAVAILABLE" : {
    "message" : [
      "Metadata is not available for offset log for , checkpoint location: .",
      "The checkpoint seems to be only run with older Spark version(s). Run the streaming query with the recent Spark version, so that Spark constructs the state metadata."
    ],
    "sqlState" : "KD006"
  },
  "STDS_REQUIRED_OPTION_UNSPECIFIED" : {
    "message" : [
      "'' must be specified."
    ],
    "sqlState" : "42601"
  },
  "STREAMING_OUTPUT_MODE" : {
    "message" : [
      "Invalid streaming output mode: ."
    ],
    "subClass" : {
      "INVALID" : {
        "message" : [
          "Accepted output modes are 'Append', 'Complete', 'Update'."
        ]
      },
      "UNSUPPORTED_DATASOURCE" : {
        "message" : [
          "This output mode is not supported in Data Source ."
        ]
      },
      "UNSUPPORTED_OPERATION" : {
        "message" : [
          "This output mode is not supported for  on streaming DataFrames/DataSets."
        ]
      }
    },
    "sqlState" : "42KDE"
  },
  "STREAMING_PYTHON_RUNNER_INITIALIZATION_FAILURE" : {
    "message" : [
      "Streaming Runner initialization failed, returned . Cause: "
    ],
    "sqlState" : "XXKST"
  },
  "STREAMING_STATEFUL_OPERATOR_NOT_MATCH_IN_STATE_METADATA" : {
    "message" : [
      "Streaming stateful operator name does not match with the operator in state metadata. This likely to happen when user adds/removes/changes stateful operator of existing streaming query.",
      "Stateful operators in the metadata: []; Stateful operators in current batch: []."
    ],
    "sqlState" : "42K03"
  },
  "STREAM_FAILED" : {
    "message" : [
      "Query [id = , runId = ] terminated with exception: "
    ],
    "sqlState" : "XXKST"
  },
  "STRUCT_ARRAY_LENGTH_MISMATCH" : {
    "message" : [
      "Input row doesn't have expected number of values required by the schema.  fields are required while  values are provided."
    ],
    "sqlState" : "2201E"
  },
  "SUM_OF_LIMIT_AND_OFFSET_EXCEEDS_MAX_INT" : {
    "message" : [
      "The sum of the LIMIT clause and the OFFSET clause must not be greater than the maximum 32-bit integer value (2,147,483,647) but found limit = , offset = ."
    ],
    "sqlState" : "22003"
  },
  "SYNTAX_DISCONTINUED" : {
    "message" : [
      "Support of the clause or keyword:  has been discontinued in this context."
    ],
    "subClass" : {
      "BANG_EQUALS_NOT" : {
        "message" : [
          "The '!' keyword is only supported as an alias for the prefix operator 'NOT'.",
          "Use the 'NOT' keyword instead for infix clauses such as `NOT LIKE`, `NOT IN`, `NOT BETWEEN`, etc.",
          "To re-enable the '!' keyword, set \"spark.sql.legacy.bangEqualsNot\" to \"true\"."
        ]
      }
    },
    "sqlState" : "42601"
  },
  "TABLE_OR_VIEW_ALREADY_EXISTS" : {
    "message" : [
      "Cannot create table or view  because it already exists.",
      "Choose a different name, drop or replace the existing object, or add the IF NOT EXISTS clause to tolerate pre-existing objects."
    ],
    "sqlState" : "42P07"
  },
  "TABLE_OR_VIEW_NOT_FOUND" : {
    "message" : [
      "The table or view  cannot be found. Verify the spelling and correctness of the schema and catalog.",
      "If you did not qualify the name with a schema, verify the current_schema() output, or qualify the name with the correct schema and catalog.",
      "To tolerate the error on drop use DROP VIEW IF EXISTS or DROP TABLE IF EXISTS."
    ],
    "sqlState" : "42P01"
  },
  "TABLE_VALUED_FUNCTION_FAILED_TO_ANALYZE_IN_PYTHON" : {
    "message" : [
      "Failed to analyze the Python user defined table function: "
    ],
    "sqlState" : "38000"
  },
  "TABLE_VALUED_FUNCTION_REQUIRED_METADATA_INCOMPATIBLE_WITH_CALL" : {
    "message" : [
      "Failed to evaluate the table function  because its table metadata , but the function call ."
    ],
    "sqlState" : "22023"
  },
  "TABLE_VALUED_FUNCTION_REQUIRED_METADATA_INVALID" : {
    "message" : [
      "Failed to evaluate the table function  because its table metadata was invalid; ."
    ],
    "sqlState" : "22023"
  },
  "TABLE_VALUED_FUNCTION_TOO_MANY_TABLE_ARGUMENTS" : {
    "message" : [
      "There are too many table arguments for table-valued function.",
      "It allows one table argument, but got: .",
      "If you want to allow it, please set \"spark.sql.allowMultipleTableArguments.enabled\" to \"true\""
    ],
    "sqlState" : "54023"
  },
  "TASK_WRITE_FAILED" : {
    "message" : [
      "Task failed while writing rows to ."
    ],
    "sqlState" : "58030"
  },
  "TEMP_TABLE_OR_VIEW_ALREADY_EXISTS" : {
    "message" : [
      "Cannot create the temporary view  because it already exists.",
      "Choose a different name, drop or replace the existing view,  or add the IF NOT EXISTS clause to tolerate pre-existing views."
    ],
    "sqlState" : "42P07"
  },
  "TEMP_VIEW_NAME_TOO_MANY_NAME_PARTS" : {
    "message" : [
      "CREATE TEMPORARY VIEW or the corresponding Dataset APIs only accept single-part view names, but got: ."
    ],
    "sqlState" : "428EK"
  },
  "TRANSPOSE_EXCEED_ROW_LIMIT" : {
    "message" : [
      "Number of rows exceeds the allowed limit of  for TRANSPOSE. If this was intended, set  to at least the current row count."
    ],
    "sqlState" : "54006"
  },
  "TRANSPOSE_INVALID_INDEX_COLUMN" : {
    "message" : [
      "Invalid index column for TRANSPOSE because: "
    ],
    "sqlState" : "42804"
  },
  "TRANSPOSE_NO_LEAST_COMMON_TYPE" : {
    "message" : [
      "Transpose requires non-index columns to share a least common type, but  and  do not."
    ],
    "sqlState" : "42K09"
  },
  "UDTF_ALIAS_NUMBER_MISMATCH" : {
    "message" : [
      "The number of aliases supplied in the AS clause does not match the number of columns output by the UDTF.",
      "Expected  aliases, but got .",
      "Please ensure that the number of aliases provided matches the number of columns output by the UDTF."
    ],
    "sqlState" : "42802"
  },
  "UDTF_INVALID_ALIAS_IN_REQUESTED_ORDERING_STRING_FROM_ANALYZE_METHOD" : {
    "message" : [
      "Failed to evaluate the user-defined table function because its 'analyze' method returned a requested OrderingColumn whose column name expression included an unnecessary alias ; please remove this alias and then try the query again."
    ],
    "sqlState" : "42802"
  },
  "UDTF_INVALID_REQUESTED_SELECTED_EXPRESSION_FROM_ANALYZE_METHOD_REQUIRES_ALIAS" : {
    "message" : [
      "Failed to evaluate the user-defined table function because its 'analyze' method returned a requested 'select' expression () that does not include a corresponding alias; please update the UDTF to specify an alias there and then try the query again."
    ],
    "sqlState" : "42802"
  },
  "UNABLE_TO_ACQUIRE_MEMORY" : {
    "message" : [
      "Unable to acquire  bytes of memory, got ."
    ],
    "sqlState" : "53200"
  },
  "UNABLE_TO_CONVERT_TO_PROTOBUF_MESSAGE_TYPE" : {
    "message" : [
      "Unable to convert SQL type  to Protobuf type ."
    ],
    "sqlState" : "42K0G"
  },
  "UNABLE_TO_FETCH_HIVE_TABLES" : {
    "message" : [
      "Unable to fetch tables of Hive database: ."
    ],
    "sqlState" : "58030"
  },
  "UNABLE_TO_INFER_SCHEMA" : {
    "message" : [
      "Unable to infer schema for . It must be specified manually."
    ],
    "sqlState" : "42KD9"
  },
  "UNBOUND_SQL_PARAMETER" : {
    "message" : [
      "Found the unbound parameter: . Please, fix `args` and provide a mapping of the parameter to either a SQL literal or collection constructor functions such as `map()`, `array()`, `struct()`."
    ],
    "sqlState" : "42P02"
  },
  "UNCLOSED_BRACKETED_COMMENT" : {
    "message" : [
      "Found an unclosed bracketed comment. Please, append */ at the end of the comment."
    ],
    "sqlState" : "42601"
  },
  "UNEXPECTED_INPUT_TYPE" : {
    "message" : [
      "Parameter  of function  requires the  type, however  has the type ."
    ],
    "sqlState" : "42K09"
  },
  "UNEXPECTED_POSITIONAL_ARGUMENT" : {
    "message" : [
      "Cannot invoke routine  because it contains positional argument(s) following the named argument assigned to ; please rearrange them so the positional arguments come first and then retry the query again."
    ],
    "sqlState" : "4274K"
  },
  "UNEXPECTED_SERIALIZER_FOR_CLASS" : {
    "message" : [
      "The class  has an unexpected expression serializer. Expects \"STRUCT\" or \"IF\" which returns \"STRUCT\" but found ."
    ],
    "sqlState" : "42846"
  },
  "UNKNOWN_PRIMITIVE_TYPE_IN_VARIANT" : {
    "message" : [
      "Unknown primitive type with id  was found in a variant value."
    ],
    "sqlState" : "22023"
  },
  "UNKNOWN_PROTOBUF_MESSAGE_TYPE" : {
    "message" : [
      "Attempting to treat  as a Message, but it was ."
    ],
    "sqlState" : "42K0G"
  },
  "UNPIVOT_REQUIRES_ATTRIBUTES" : {
    "message" : [
      "UNPIVOT requires all given  expressions to be columns when no  expressions are given. These are not columns: []."
    ],
    "sqlState" : "42K0A"
  },
  "UNPIVOT_REQUIRES_VALUE_COLUMNS" : {
    "message" : [
      "At least one value column needs to be specified for UNPIVOT, all columns specified as ids."
    ],
    "sqlState" : "42K0A"
  },
  "UNPIVOT_VALUE_DATA_TYPE_MISMATCH" : {
    "message" : [
      "Unpivot value columns must share a least common type, some types do not: []."
    ],
    "sqlState" : "42K09"
  },
  "UNPIVOT_VALUE_SIZE_MISMATCH" : {
    "message" : [
      "All unpivot value columns must have the same size as there are value column names ()."
    ],
    "sqlState" : "428C4"
  },
  "UNRECOGNIZED_PARAMETER_NAME" : {
    "message" : [
      "Cannot invoke routine  because the routine call included a named argument reference for the argument named , but this routine does not include any signature containing an argument with this name. Did you mean one of the following? []."
    ],
    "sqlState" : "4274K"
  },
  "UNRECOGNIZED_SQL_TYPE" : {
    "message" : [
      "Unrecognized SQL type - name: , id: ."
    ],
    "sqlState" : "42704"
  },
  "UNRESOLVABLE_TABLE_VALUED_FUNCTION" : {
    "message" : [
      "Could not resolve  to a table-valued function.",
      "Please make sure that  is defined as a table-valued function and that all required parameters are provided correctly.",
      "If  is not defined, please create the table-valued function before using it.",
      "For more information about defining table-valued functions, please refer to the Apache Spark documentation."
    ],
    "sqlState" : "42883"
  },
  "UNRESOLVED_ALL_IN_GROUP_BY" : {
    "message" : [
      "Cannot infer grouping columns for GROUP BY ALL based on the select clause. Please explicitly specify the grouping columns."
    ],
    "sqlState" : "42803"
  },
  "UNRESOLVED_COLUMN" : {
    "message" : [
      "A column, variable, or function parameter with name  cannot be resolved."
    ],
    "subClass" : {
      "WITHOUT_SUGGESTION" : {
        "message" : [
          ""
        ]
      },
      "WITH_SUGGESTION" : {
        "message" : [
          "Did you mean one of the following? []."
        ]
      }
    },
    "sqlState" : "42703"
  },
  "UNRESOLVED_FIELD" : {
    "message" : [
      "A field with name  cannot be resolved with the struct-type column ."
    ],
    "subClass" : {
      "WITHOUT_SUGGESTION" : {
        "message" : [
          ""
        ]
      },
      "WITH_SUGGESTION" : {
        "message" : [
          "Did you mean one of the following? []."
        ]
      }
    },
    "sqlState" : "42703"
  },
  "UNRESOLVED_MAP_KEY" : {
    "message" : [
      "Cannot resolve column  as a map key. If the key is a string literal, add the single quotes '' around it."
    ],
    "subClass" : {
      "WITHOUT_SUGGESTION" : {
        "message" : [
          ""
        ]
      },
      "WITH_SUGGESTION" : {
        "message" : [
          "Otherwise did you mean one of the following column(s)? []."
        ]
      }
    },
    "sqlState" : "42703"
  },
  "UNRESOLVED_ROUTINE" : {
    "message" : [
      "Cannot resolve routine  on search path ."
    ],
    "sqlState" : "42883"
  },
  "UNRESOLVED_USING_COLUMN_FOR_JOIN" : {
    "message" : [
      "USING column  cannot be resolved on the  side of the join. The -side columns: []."
    ],
    "sqlState" : "42703"
  },
  "UNRESOLVED_VARIABLE" : {
    "message" : [
      "Cannot resolve variable  on search path ."
    ],
    "sqlState" : "42883"
  },
  "UNSUPPORTED_ADD_FILE" : {
    "message" : [
      "Don't support add file."
    ],
    "subClass" : {
      "DIRECTORY" : {
        "message" : [
          "The file  is a directory, consider to set \"spark.sql.legacy.addSingleFileInAddFile\" to \"false\"."
        ]
      },
      "LOCAL_DIRECTORY" : {
        "message" : [
          "The local directory  is not supported in a non-local master mode."
        ]
      }
    },
    "sqlState" : "0A000"
  },
  "UNSUPPORTED_ARROWTYPE" : {
    "message" : [
      "Unsupported arrow type ."
    ],
    "sqlState" : "0A000"
  },
  "UNSUPPORTED_CALL" : {
    "message" : [
      "Cannot call the method \"\" of the class \"\"."
    ],
    "subClass" : {
      "FIELD_INDEX" : {
        "message" : [
          "The row shall have a schema to get an index of the field ."
        ]
      },
      "WITHOUT_SUGGESTION" : {
        "message" : [
          ""
        ]
      }
    },
    "sqlState" : "0A000"
  },
  "UNSUPPORTED_CHAR_OR_VARCHAR_AS_STRING" : {
    "message" : [
      "The char/varchar type can't be used in the table schema.",
      "If you want Spark treat them as string type as same as Spark 3.0 and earlier, please set \"spark.sql.legacy.charVarcharAsString\" to \"true\"."
    ],
    "sqlState" : "0A000"
  },
  "UNSUPPORTED_COLLATION" : {
    "message" : [
      "Collation  is not supported for:"
    ],
    "subClass" : {
      "FOR_FUNCTION" : {
        "message" : [
          "function . Please try to use a different collation."
        ]
      }
    },
    "sqlState" : "0A000"
  },
  "UNSUPPORTED_DATASOURCE_FOR_DIRECT_QUERY" : {
    "message" : [
      "Unsupported data source type for direct query on files: "
    ],
    "sqlState" : "0A000"
  },
  "UNSUPPORTED_DATATYPE" : {
    "message" : [
      "Unsupported data type ."
    ],
    "sqlState" : "0A000"
  },
  "UNSUPPORTED_DATA_SOURCE_SAVE_MODE" : {
    "message" : [
      "The data source \"\" cannot be written in the  mode. Please use either the \"Append\" or \"Overwrite\" mode instead."
    ],
    "sqlState" : "0A000"
  },
  "UNSUPPORTED_DATA_TYPE_FOR_DATASOURCE" : {
    "message" : [
      "The  datasource doesn't support the column  of the type ."
    ],
    "sqlState" : "0A000"
  },
  "UNSUPPORTED_DATA_TYPE_FOR_ENCODER" : {
    "message" : [
      "Cannot create encoder for . Please use a different output data type for your UDF or DataFrame."
    ],
    "sqlState" : "0A000"
  },
  "UNSUPPORTED_DEFAULT_VALUE" : {
    "message" : [
      "DEFAULT column values is not supported."
    ],
    "subClass" : {
      "WITHOUT_SUGGESTION" : {
        "message" : [
          ""
        ]
      },
      "WITH_SUGGESTION" : {
        "message" : [
          "Enable it by setting \"spark.sql.defaultColumn.enabled\" to \"true\"."
        ]
      }
    },
    "sqlState" : "0A000"
  },
  "UNSUPPORTED_DESERIALIZER" : {
    "message" : [
      "The deserializer is not supported:"
    ],
    "subClass" : {
      "DATA_TYPE_MISMATCH" : {
        "message" : [
          "need a(n)  field but got ."
        ]
      },
      "FIELD_NUMBER_MISMATCH" : {
        "message" : [
          "try to map  to Tuple, but failed as the number of fields does not line up."
        ]
      }
    },
    "sqlState" : "0A000"
  },
  "UNSUPPORTED_EXPRESSION_GENERATED_COLUMN" : {
    "message" : [
      "Cannot create generated column  with generation expression  because ."
    ],
    "sqlState" : "42621"
  },
  "UNSUPPORTED_EXPR_FOR_OPERATOR" : {
    "message" : [
      "A query operator contains one or more unsupported expressions.",
      "Consider to rewrite it to avoid window functions, aggregate functions, and generator functions in the WHERE clause.",
      "Invalid expressions: []"
    ],
    "sqlState" : "42K0E"
  },
  "UNSUPPORTED_EXPR_FOR_PARAMETER" : {
    "message" : [
      "A query parameter contains unsupported expression.",
      "Parameters can either be variables or literals.",
      "Invalid expression: []"
    ],
    "sqlState" : "42K0E"
  },
  "UNSUPPORTED_EXPR_FOR_WINDOW" : {
    "message" : [
      "Expression  not supported within a window function."
    ],
    "sqlState" : "42P20"
  },
  "UNSUPPORTED_FEATURE" : {
    "message" : [
      "The feature is not supported:"
    ],
    "subClass" : {
      "AES_MODE" : {
        "message" : [
          "AES- with the padding  by the  function."
        ]
      },
      "AES_MODE_AAD" : {
        "message" : [
          " with AES- does not support additional authenticate data (AAD)."
        ]
      },
      "AES_MODE_IV" : {
        "message" : [
          " with AES- does not support initialization vectors (IVs)."
        ]
      },
      "ANALYZE_UNCACHED_TEMP_VIEW" : {
        "message" : [
          "The ANALYZE TABLE FOR COLUMNS command can operate on temporary views that have been cached already. Consider to cache the view ."
        ]
      },
      "ANALYZE_UNSUPPORTED_COLUMN_TYPE" : {
        "message" : [
          "The ANALYZE TABLE FOR COLUMNS command does not support the type  of the column  in the table ."
        ]
      },
      "ANALYZE_VIEW" : {
        "message" : [
          "The ANALYZE TABLE command does not support views."
        ]
      },
      "CATALOG_OPERATION" : {
        "message" : [
          "Catalog  does not support ."
        ]
      },
      "COLLATION" : {
        "message" : [
          "Collation is not yet supported."
        ]
      },
      "COMBINATION_QUERY_RESULT_CLAUSES" : {
        "message" : [
          "Combination of ORDER BY/SORT BY/DISTRIBUTE BY/CLUSTER BY."
        ]
      },
      "COMMENT_NAMESPACE" : {
        "message" : [
          "Attach a comment to the namespace ."
        ]
      },
      "DESC_TABLE_COLUMN_PARTITION" : {
        "message" : [
          "DESC TABLE COLUMN for a specific partition."
        ]
      },
      "DROP_DATABASE" : {
        "message" : [
          "Drop the default database ."
        ]
      },
      "DROP_NAMESPACE" : {
        "message" : [
          "Drop the namespace ."
        ]
      },
      "HIVE_TABLE_TYPE" : {
        "message" : [
          "The  is hive ."
        ]
      },
      "HIVE_WITH_ANSI_INTERVALS" : {
        "message" : [
          "Hive table  with ANSI intervals."
        ]
      },
      "INSERT_PARTITION_SPEC_IF_NOT_EXISTS" : {
        "message" : [
          "INSERT INTO  with IF NOT EXISTS in the PARTITION spec."
        ]
      },
      "LAMBDA_FUNCTION_WITH_PYTHON_UDF" : {
        "message" : [
          "Lambda function with Python UDF  in a higher order function."
        ]
      },
      "LATERAL_COLUMN_ALIAS_IN_AGGREGATE_FUNC" : {
        "message" : [
          "Referencing a lateral column alias  in the aggregate function ."
        ]
      },
      "LATERAL_COLUMN_ALIAS_IN_AGGREGATE_WITH_WINDOW_AND_HAVING" : {
        "message" : [
          "Referencing lateral column alias  in the aggregate query both with window expressions and with having clause. Please rewrite the aggregate query by removing the having clause or removing lateral alias reference in the SELECT list."
        ]
      },
      "LATERAL_COLUMN_ALIAS_IN_GROUP_BY" : {
        "message" : [
          "Referencing a lateral column alias via GROUP BY alias/ALL is not supported yet."
        ]
      },
      "LATERAL_COLUMN_ALIAS_IN_WINDOW" : {
        "message" : [
          "Referencing a lateral column alias  in window expression ."
        ]
      },
      "LATERAL_JOIN_USING" : {
        "message" : [
          "JOIN USING with LATERAL correlation."
        ]
      },
      "LITERAL_TYPE" : {
        "message" : [
          "Literal for '' of ."
        ]
      },
      "MULTIPLE_BUCKET_TRANSFORMS" : {
        "message" : [
          "Multiple bucket TRANSFORMs."
        ]
      },
      "MULTI_ACTION_ALTER" : {
        "message" : [
          "The target JDBC server hosting table  does not support ALTER TABLE with multiple actions. Split the ALTER TABLE up into individual actions to avoid this error."
        ]
      },
      "ORC_TYPE_CAST" : {
        "message" : [
          "Unable to convert  of Orc to data type ."
        ]
      },
      "OVERWRITE_BY_SUBQUERY" : {
        "message" : [
          "INSERT OVERWRITE with a subquery condition."
        ]
      },
      "PANDAS_UDAF_IN_PIVOT" : {
        "message" : [
          "Pandas user defined aggregate function in the PIVOT clause."
        ]
      },
      "PARAMETER_MARKER_IN_UNEXPECTED_STATEMENT" : {
        "message" : [
          "Parameter markers are not allowed in ."
        ]
      },
      "PARTITION_WITH_NESTED_COLUMN_IS_UNSUPPORTED" : {
        "message" : [
          "Invalid partitioning:  is missing or is in a map or array."
        ]
      },
      "PIVOT_AFTER_GROUP_BY" : {
        "message" : [
          "PIVOT clause following a GROUP BY clause. Consider pushing the GROUP BY into a subquery."
        ]
      },
      "PIVOT_TYPE" : {
        "message" : [
          "Pivoting by the value '' of the column data type ."
        ]
      },
      "PURGE_PARTITION" : {
        "message" : [
          "Partition purge."
        ]
      },
      "PURGE_TABLE" : {
        "message" : [
          "Purge table."
        ]
      },
      "PYTHON_UDF_IN_ON_CLAUSE" : {
        "message" : [
          "Python UDF in the ON clause of a  JOIN. In case of an INNER JOIN consider rewriting to a CROSS JOIN with a WHERE clause."
        ]
      },
      "QUERY_ONLY_CORRUPT_RECORD_COLUMN" : {
        "message" : [
          "Queries from raw JSON/CSV/XML files are disallowed when the",
          "referenced columns only include the internal corrupt record column",
          "(named _corrupt_record by default). For example:",
          "spark.read.schema(schema).json(file).filter($\"_corrupt_record\".isNotNull).count()",
          "and spark.read.schema(schema).json(file).select(\"_corrupt_record\").show().",
          "Instead, you can cache or save the parsed results and then send the same query.",
          "For example, val df = spark.read.schema(schema).json(file).cache() and then",
          "df.filter($\"_corrupt_record\".isNotNull).count()."
        ]
      },
      "REMOVE_NAMESPACE_COMMENT" : {
        "message" : [
          "Remove a comment from the namespace ."
        ]
      },
      "REPLACE_NESTED_COLUMN" : {
        "message" : [
          "The replace function does not support nested column ."
        ]
      },
      "SET_NAMESPACE_PROPERTY" : {
        "message" : [
          " is a reserved namespace property, ."
        ]
      },
      "SET_OPERATION_ON_MAP_TYPE" : {
        "message" : [
          "Cannot have MAP type columns in DataFrame which calls set operations (INTERSECT, EXCEPT, etc.), but the type of column  is ."
        ]
      },
      "SET_PROPERTIES_AND_DBPROPERTIES" : {
        "message" : [
          "set PROPERTIES and DBPROPERTIES at the same time."
        ]
      },
      "SET_TABLE_PROPERTY" : {
        "message" : [
          " is a reserved table property, ."
        ]
      },
      "SET_VARIABLE_USING_SET" : {
        "message" : [
          " is a VARIABLE and cannot be updated using the SET statement. Use SET VARIABLE  = ... instead."
        ]
      },
      "STATE_STORE_MULTIPLE_COLUMN_FAMILIES" : {
        "message" : [
          "Creating multiple column families with  is not supported."
        ]
      },
      "STATE_STORE_REMOVING_COLUMN_FAMILIES" : {
        "message" : [
          "Removing column families with  is not supported."
        ]
      },
      "STATE_STORE_TTL" : {
        "message" : [
          "State TTL with  is not supported. Please use RocksDBStateStoreProvider."
        ]
      },
      "TABLE_OPERATION" : {
        "message" : [
          "Table  does not support . Please check the current catalog and namespace to make sure the qualified table name is expected, and also check the catalog implementation which is configured by \"spark.sql.catalog\"."
        ]
      },
      "TEMPORARY_VIEW_WITH_SCHEMA_BINDING_MODE" : {
        "message" : [
          "Temporary views cannot be created with the WITH SCHEMA clause. Recreate the temporary view when the underlying schema changes, or use a persisted view."
        ]
      },
      "TIME_TRAVEL" : {
        "message" : [
          "Time travel on the relation: ."
        ]
      },
      "TOO_MANY_TYPE_ARGUMENTS_FOR_UDF_CLASS" : {
        "message" : [
          "UDF class with  type arguments."
        ]
      },
      "TRANSFORM_DISTINCT_ALL" : {
        "message" : [
          "TRANSFORM with the DISTINCT/ALL clause."
        ]
      },
      "TRANSFORM_NON_HIVE" : {
        "message" : [
          "TRANSFORM with SERDE is only supported in hive mode."
        ]
      }
    },
    "sqlState" : "0A000"
  },
  "UNSUPPORTED_GENERATOR" : {
    "message" : [
      "The generator is not supported:"
    ],
    "subClass" : {
      "MULTI_GENERATOR" : {
        "message" : [
          "only one generator allowed per SELECT clause but found : ."
        ]
      },
      "NESTED_IN_EXPRESSIONS" : {
        "message" : [
          "nested in expressions ."
        ]
      },
      "NOT_GENERATOR" : {
        "message" : [
          " is expected to be a generator. However, its class is , which is not a generator."
        ]
      },
      "OUTSIDE_SELECT" : {
        "message" : [
          "outside the SELECT clause, found: ."
        ]
      }
    },
    "sqlState" : "42K0E"
  },
  "UNSUPPORTED_GROUPING_EXPRESSION" : {
    "message" : [
      "grouping()/grouping_id() can only be used with GroupingSets/Cube/Rollup."
    ],
    "sqlState" : "42K0E"
  },
  "UNSUPPORTED_INSERT" : {
    "message" : [
      "Can't insert into the target."
    ],
    "subClass" : {
      "MULTI_PATH" : {
        "message" : [
          "Can only write data to relations with a single path but given paths are ."
        ]
      },
      "NOT_ALLOWED" : {
        "message" : [
          "The target relation  does not allow insertion."
        ]
      },
      "NOT_PARTITIONED" : {
        "message" : [
          "The target relation  is not partitioned."
        ]
      },
      "RDD_BASED" : {
        "message" : [
          "An RDD-based table is not allowed."
        ]
      },
      "READ_FROM" : {
        "message" : [
          "The target relation  is also being read from."
        ]
      }
    },
    "sqlState" : "42809"
  },
  "UNSUPPORTED_JOIN_TYPE" : {
    "message" : [
      "Unsupported join type ''. Supported join types include: ."
    ],
    "sqlState" : "0A000"
  },
  "UNSUPPORTED_MERGE_CONDITION" : {
    "message" : [
      "MERGE operation contains unsupported  condition."
    ],
    "subClass" : {
      "AGGREGATE" : {
        "message" : [
          "Aggregates are not allowed: ."
        ]
      },
      "NON_DETERMINISTIC" : {
        "message" : [
          "Non-deterministic expressions are not allowed: ."
        ]
      },
      "SUBQUERY" : {
        "message" : [
          "Subqueries are not allowed: ."
        ]
      }
    },
    "sqlState" : "42K0E"
  },
  "UNSUPPORTED_OVERWRITE" : {
    "message" : [
      "Can't overwrite the target that is also being read from."
    ],
    "subClass" : {
      "PATH" : {
        "message" : [
          "The target path is ."
        ]
      },
      "TABLE" : {
        "message" : [
          "The target table is ."
        ]
      }
    },
    "sqlState" : "42902"
  },
  "UNSUPPORTED_SAVE_MODE" : {
    "message" : [
      "The save mode  is not supported for:"
    ],
    "subClass" : {
      "EXISTENT_PATH" : {
        "message" : [
          "an existent path."
        ]
      },
      "NON_EXISTENT_PATH" : {
        "message" : [
          "a non-existent path."
        ]
      }
    },
    "sqlState" : "0A000"
  },
  "UNSUPPORTED_SHOW_CREATE_TABLE" : {
    "message" : [
      "Unsupported a SHOW CREATE TABLE command."
    ],
    "subClass" : {
      "ON_DATA_SOURCE_TABLE_WITH_AS_SERDE" : {
        "message" : [
          "The table  is a Spark data source table. Please use SHOW CREATE TABLE without AS SERDE instead."
        ]
      },
      "ON_TEMPORARY_VIEW" : {
        "message" : [
          "The command is not supported on a temporary view ."
        ]
      },
      "ON_TRANSACTIONAL_HIVE_TABLE" : {
        "message" : [
          "Failed to execute the command against transactional Hive table .",
          "Please use SHOW CREATE TABLE  AS SERDE to show Hive DDL instead."
        ]
      },
      "WITH_UNSUPPORTED_FEATURE" : {
        "message" : [
          "Failed to execute the command against table/view  which is created by Hive and uses the following unsupported features",
          ""
        ]
      },
      "WITH_UNSUPPORTED_SERDE_CONFIGURATION" : {
        "message" : [
          "Failed to execute the command against the table  which is created by Hive and uses the following unsupported serde configuration",
          "",
          "Please use SHOW CREATE TABLE  AS SERDE to show Hive DDL instead."
        ]
      }
    },
    "sqlState" : "0A000"
  },
  "UNSUPPORTED_STREAMING_OPERATOR_WITHOUT_WATERMARK" : {
    "message" : [
      " output mode not supported for  on streaming DataFrames/DataSets without watermark."
    ],
    "sqlState" : "0A000"
  },
  "UNSUPPORTED_SUBQUERY_EXPRESSION_CATEGORY" : {
    "message" : [
      "Unsupported subquery expression:"
    ],
    "subClass" : {
      "ACCESSING_OUTER_QUERY_COLUMN_IS_NOT_ALLOWED" : {
        "message" : [
          "Accessing outer query column is not allowed in this location:",
          ""
        ]
      },
      "AGGREGATE_FUNCTION_MIXED_OUTER_LOCAL_REFERENCES" : {
        "message" : [
          "Found an aggregate function in a correlated predicate that has both outer and local references, which is not supported: ."
        ]
      },
      "CORRELATED_COLUMN_IS_NOT_ALLOWED_IN_PREDICATE" : {
        "message" : [
          "Correlated column is not allowed in predicate:",
          ""
        ]
      },
      "CORRELATED_COLUMN_NOT_FOUND" : {
        "message" : [
          "A correlated outer name reference within a subquery expression body was not found in the enclosing query: ."
        ]
      },
      "CORRELATED_REFERENCE" : {
        "message" : [
          "Expressions referencing the outer query are not supported outside of WHERE/HAVING clauses: ."
        ]
      },
      "HIGHER_ORDER_FUNCTION" : {
        "message" : [
          "Subquery expressions are not supported within higher-order functions. Please remove all subquery expressions from higher-order functions and then try the query again."
        ]
      },
      "LATERAL_JOIN_CONDITION_NON_DETERMINISTIC" : {
        "message" : [
          "Lateral join condition cannot be non-deterministic: ."
        ]
      },
      "MUST_AGGREGATE_CORRELATED_SCALAR_SUBQUERY" : {
        "message" : [
          "Correlated scalar subqueries must be aggregated to return at most one row."
        ]
      },
      "NON_CORRELATED_COLUMNS_IN_GROUP_BY" : {
        "message" : [
          "A GROUP BY clause in a scalar correlated subquery cannot contain non-correlated columns: ."
        ]
      },
      "NON_DETERMINISTIC_LATERAL_SUBQUERIES" : {
        "message" : [
          "Non-deterministic lateral subqueries are not supported when joining with outer relations that produce more than one row:",
          ""
        ]
      },
      "UNSUPPORTED_CORRELATED_EXPRESSION_IN_JOIN_CONDITION" : {
        "message" : [
          "Correlated subqueries in the join predicate cannot reference both join inputs:",
          ""
        ]
      },
      "UNSUPPORTED_CORRELATED_REFERENCE_DATA_TYPE" : {
        "message" : [
          "Correlated column reference '' cannot be  type."
        ]
      },
      "UNSUPPORTED_CORRELATED_SCALAR_SUBQUERY" : {
        "message" : [
          "Correlated scalar subqueries can only be used in filters, aggregations, projections, and UPDATE/MERGE/DELETE commands:",
          ""
        ]
      },
      "UNSUPPORTED_IN_EXISTS_SUBQUERY" : {
        "message" : [
          "IN/EXISTS predicate subqueries can only be used in filters, joins, aggregations, window functions, projections, and UPDATE/MERGE/DELETE commands:",
          ""
        ]
      },
      "UNSUPPORTED_TABLE_ARGUMENT" : {
        "message" : [
          "Table arguments are used in a function where they are not supported:",
          ""
        ]
      }
    },
    "sqlState" : "0A000"
  },
  "UNSUPPORTED_TYPED_LITERAL" : {
    "message" : [
      "Literals of the type  are not supported. Supported types are ."
    ],
    "sqlState" : "0A000"
  },
  "UNTYPED_SCALA_UDF" : {
    "message" : [
      "You're using untyped Scala UDF, which does not have the input type information. Spark may blindly pass null to the Scala closure with primitive-type argument, and the closure will see the default value of the Java type for the null argument, e.g. `udf((x: Int) => x, IntegerType)`, the result is 0 for null input. To get rid of this error, you could:",
      "1. use typed Scala UDF APIs(without return type parameter), e.g. `udf((x: Int) => x)`.",
      "2. use Java UDF APIs, e.g. `udf(new UDF1[String, Integer] { override def call(s: String): Integer = s.length() }, IntegerType)`, if input types are all non primitive.",
      "3. set \"spark.sql.legacy.allowUntypedScalaUDF\" to \"true\" and use this API with caution."
    ],
    "sqlState" : "42K0E"
  },
  "USER_RAISED_EXCEPTION" : {
    "message" : [
      ""
    ],
    "sqlState" : "P0001"
  },
  "USER_RAISED_EXCEPTION_PARAMETER_MISMATCH" : {
    "message" : [
      "The `raise_error()` function was used to raise error class:  which expects parameters: .",
      "The provided parameters  do not match the expected parameters.",
      "Please make sure to provide all expected parameters."
    ],
    "sqlState" : "P0001"
  },
  "USER_RAISED_EXCEPTION_UNKNOWN_ERROR_CLASS" : {
    "message" : [
      "The `raise_error()` function was used to raise an unknown error class: "
    ],
    "sqlState" : "P0001"
  },
  "VARIABLE_ALREADY_EXISTS" : {
    "message" : [
      "Cannot create the variable  because it already exists.",
      "Choose a different name, or drop or replace the existing variable."
    ],
    "sqlState" : "42723"
  },
  "VARIABLE_NOT_FOUND" : {
    "message" : [
      "The variable  cannot be found. Verify the spelling and correctness of the schema and catalog.",
      "If you did not qualify the name with a schema and catalog, verify the current_schema() output, or qualify the name with the correct schema and catalog.",
      "To tolerate the error on drop use DROP VARIABLE IF EXISTS."
    ],
    "sqlState" : "42883"
  },
  "VARIANT_CONSTRUCTOR_SIZE_LIMIT" : {
    "message" : [
      "Cannot construct a Variant larger than 16 MiB. The maximum allowed size of a Variant value is 16 MiB."
    ],
    "sqlState" : "22023"
  },
  "VARIANT_DUPLICATE_KEY" : {
    "message" : [
      "Failed to build variant because of a duplicate object key ``."
    ],
    "sqlState" : "22023"
  },
  "VARIANT_SIZE_LIMIT" : {
    "message" : [
      "Cannot build variant bigger than  in .",
      "Please avoid large input strings to this expression (for example, add function calls(s) to check the expression size and convert it to NULL first if it is too big)."
    ],
    "sqlState" : "22023"
  },
  "VIEW_ALREADY_EXISTS" : {
    "message" : [
      "Cannot create view  because it already exists.",
      "Choose a different name, drop or replace the existing object, or add the IF NOT EXISTS clause to tolerate pre-existing objects."
    ],
    "sqlState" : "42P07"
  },
  "VIEW_EXCEED_MAX_NESTED_DEPTH" : {
    "message" : [
      "The depth of view  exceeds the maximum view resolution depth ().",
      "Analysis is aborted to avoid errors. If you want to work around this, please try to increase the value of \"spark.sql.view.maxNestedViewDepth\"."
    ],
    "sqlState" : "54K00"
  },
  "VIEW_NOT_FOUND" : {
    "message" : [
      "The view  cannot be found. Verify the spelling and correctness of the schema and catalog.",
      "If you did not qualify the name with a schema, verify the current_schema() output, or qualify the name with the correct schema and catalog.",
      "To tolerate the error on drop use DROP VIEW IF EXISTS."
    ],
    "sqlState" : "42P01"
  },
  "WINDOW_FUNCTION_AND_FRAME_MISMATCH" : {
    "message" : [
      " function can only be evaluated in an ordered row-based window frame with a single offset: ."
    ],
    "sqlState" : "42K0E"
  },
  "WINDOW_FUNCTION_WITHOUT_OVER_CLAUSE" : {
    "message" : [
      "Window function  requires an OVER clause."
    ],
    "sqlState" : "42601"
  },
  "WRITE_STREAM_NOT_ALLOWED" : {
    "message" : [
      "`writeStream` can be called only on streaming Dataset/DataFrame."
    ],
    "sqlState" : "42601"
  },
  "WRONG_COMMAND_FOR_OBJECT_TYPE" : {
    "message" : [
      "The operation  requires a . But  is a . Use  instead."
    ],
    "sqlState" : "42809"
  },
  "WRONG_NUM_ARGS" : {
    "message" : [
      "The  requires  parameters but the actual number is ."
    ],
    "subClass" : {
      "WITHOUT_SUGGESTION" : {
        "message" : [
          "Please, refer to '/sql-ref-functions.html' for a fix."
        ]
      },
      "WITH_SUGGESTION" : {
        "message" : [
          "If you have to call this function with  parameters, set the legacy configuration  to ."
        ]
      }
    },
    "sqlState" : "42605"
  },
  "XML_ROW_TAG_MISSING" : {
    "message" : [
      " option is required for reading files in XML format."
    ],
    "sqlState" : "42KDF"
  },
  "_LEGACY_ERROR_TEMP_0001" : {
    "message" : [
      "Invalid InsertIntoContext."
    ]
  },
  "_LEGACY_ERROR_TEMP_0004" : {
    "message" : [
      "Empty source for merge: you should specify a source table/subquery in merge."
    ]
  },
  "_LEGACY_ERROR_TEMP_0006" : {
    "message" : [
      "The number of inserted values cannot match the fields."
    ]
  },
  "_LEGACY_ERROR_TEMP_0008" : {
    "message" : [
      "There must be at least one WHEN clause in a MERGE statement."
    ]
  },
  "_LEGACY_ERROR_TEMP_0012" : {
    "message" : [
      "DISTRIBUTE BY is not supported."
    ]
  },
  "_LEGACY_ERROR_TEMP_0014" : {
    "message" : [
      "TABLESAMPLE does not accept empty inputs."
    ]
  },
  "_LEGACY_ERROR_TEMP_0015" : {
    "message" : [
      "TABLESAMPLE() is not supported."
    ]
  },
  "_LEGACY_ERROR_TEMP_0016" : {
    "message" : [
      " is not a valid byte length literal, expected syntax: DIGIT+ ('B' | 'K' | 'M' | 'G')."
    ]
  },
  "_LEGACY_ERROR_TEMP_0018" : {
    "message" : [
      "Function trim doesn't support with type . Please use BOTH, LEADING or TRAILING as trim type."
    ]
  },
  "_LEGACY_ERROR_TEMP_0024" : {
    "message" : [
      "Can only have a single from-to unit in the interval literal syntax."
    ]
  },
  "_LEGACY_ERROR_TEMP_0026" : {
    "message" : [
      "Can only use numbers in the interval value part for multiple unit value pairs interval form, but got invalid value: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_0027" : {
    "message" : [
      "The value of from-to unit must be a string."
    ]
  },
  "_LEGACY_ERROR_TEMP_0028" : {
    "message" : [
      "Intervals FROM  TO  are not supported."
    ]
  },
  "_LEGACY_ERROR_TEMP_0029" : {
    "message" : [
      "Cannot mix year-month and day-time fields: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_0031" : {
    "message" : [
      "Invalid number of buckets: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_0032" : {
    "message" : [
      "Duplicated table paths found: '' and ''. LOCATION and the case insensitive key 'path' in OPTIONS are all used to indicate the custom table path, you can only specify one of them."
    ]
  },
  "_LEGACY_ERROR_TEMP_0033" : {
    "message" : [
      "Expected either STORED AS or STORED BY, not both."
    ]
  },
  "_LEGACY_ERROR_TEMP_0034" : {
    "message" : [
      " is not supported in Hive-style ."
    ]
  },
  "_LEGACY_ERROR_TEMP_0035" : {
    "message" : [
      "Operation not allowed: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_0037" : {
    "message" : [
      "It is not allowed to add catalog/namespace prefix  to the table name in CACHE TABLE AS SELECT."
    ]
  },
  "_LEGACY_ERROR_TEMP_0038" : {
    "message" : [
      "CTE definition can't have duplicate names: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_0039" : {
    "message" : [
      "Unsupported SQL statement."
    ]
  },
  "_LEGACY_ERROR_TEMP_0043" : {
    "message" : [
      "Expected format is 'RESET' or 'RESET key'. If you want to include special characters in key, please use quotes, e.g., RESET `key`."
    ]
  },
  "_LEGACY_ERROR_TEMP_0044" : {
    "message" : [
      "The interval value must be in the range of [-18, +18] hours with second precision."
    ]
  },
  "_LEGACY_ERROR_TEMP_0045" : {
    "message" : [
      "Invalid time zone displacement value."
    ]
  },
  "_LEGACY_ERROR_TEMP_0046" : {
    "message" : [
      "CREATE TEMPORARY TABLE without a provider is not allowed."
    ]
  },
  "_LEGACY_ERROR_TEMP_0047" : {
    "message" : [
      "'ROW FORMAT' must be used with 'STORED AS'."
    ]
  },
  "_LEGACY_ERROR_TEMP_0048" : {
    "message" : [
      "Unsupported operation: Used defined record reader/writer classes."
    ]
  },
  "_LEGACY_ERROR_TEMP_0049" : {
    "message" : [
      "Directory path and 'path' in OPTIONS should be specified one, but not both."
    ]
  },
  "_LEGACY_ERROR_TEMP_0051" : {
    "message" : [
      "Empty set in  grouping sets is not supported."
    ]
  },
  "_LEGACY_ERROR_TEMP_0052" : {
    "message" : [
      "CREATE VIEW with both IF NOT EXISTS and REPLACE is not allowed."
    ]
  },
  "_LEGACY_ERROR_TEMP_0053" : {
    "message" : [
      "It is not allowed to define a TEMPORARY view with IF NOT EXISTS."
    ]
  },
  "_LEGACY_ERROR_TEMP_0056" : {
    "message" : [
      "Invalid time travel spec: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_0060" : {
    "message" : [
      "."
    ]
  },
  "_LEGACY_ERROR_TEMP_0062" : {
    "message" : [
      "."
    ]
  },
  "_LEGACY_ERROR_TEMP_0063" : {
    "message" : [
      "."
    ]
  },
  "_LEGACY_ERROR_TEMP_0064" : {
    "message" : [
      "."
    ]
  },
  "_LEGACY_ERROR_TEMP_1000" : {
    "message" : [
      "LEGACY store assignment policy is disallowed in Spark data source V2. Please set the configuration  to other values."
    ]
  },
  "_LEGACY_ERROR_TEMP_1002" : {
    "message" : [
      "Unable to generate an encoder for inner class `` without access to the scope that this class was defined in.",
      "Try moving this class out of its parent class."
    ]
  },
  "_LEGACY_ERROR_TEMP_1005" : {
    "message" : [
      " doesn't show up in the GROUP BY list ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1006" : {
    "message" : [
      "Aggregate expression required for pivot, but '' did not appear in any aggregate function."
    ]
  },
  "_LEGACY_ERROR_TEMP_1007" : {
    "message" : [
      "Cannot write into temp view  as it's not a data source v2 relation."
    ]
  },
  "_LEGACY_ERROR_TEMP_1008" : {
    "message" : [
      " is not a temp view of streaming logical plan, please use batch API such as `DataFrameReader.table` to read it."
    ]
  },
  "_LEGACY_ERROR_TEMP_1011" : {
    "message" : [
      "Writing into a view is not allowed. View: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1012" : {
    "message" : [
      "Cannot write into v1 table: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1017" : {
    "message" : [
      " is a built-in/temporary function. '' expects a persistent function.."
    ]
  },
  "_LEGACY_ERROR_TEMP_1018" : {
    "message" : [
      " is a permanent view, which is not supported by streaming reading API such as `DataStreamReader.table` yet."
    ]
  },
  "_LEGACY_ERROR_TEMP_1021" : {
    "message" : [
      "count(.*) is not allowed. Please use count(*) or expand the columns manually, e.g. count(col1, col2)."
    ]
  },
  "_LEGACY_ERROR_TEMP_1030" : {
    "message" : [
      "Window aggregate function with filter predicate is not supported yet."
    ]
  },
  "_LEGACY_ERROR_TEMP_1031" : {
    "message" : [
      "It is not allowed to use a window function inside an aggregate function. Please use the inner window function in a sub-query."
    ]
  },
  "_LEGACY_ERROR_TEMP_1032" : {
    "message" : [
      " does not have any WindowExpression."
    ]
  },
  "_LEGACY_ERROR_TEMP_1033" : {
    "message" : [
      " has multiple Window Specifications ().",
      "Please file a bug report with this error message, stack trace, and the query."
    ]
  },
  "_LEGACY_ERROR_TEMP_1034" : {
    "message" : [
      "It is not allowed to use window functions inside  clause."
    ]
  },
  "_LEGACY_ERROR_TEMP_1035" : {
    "message" : [
      "Cannot specify window frame for  function."
    ]
  },
  "_LEGACY_ERROR_TEMP_1036" : {
    "message" : [
      "Window Frame  must match the required frame ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1037" : {
    "message" : [
      "Window function  requires window to be ordered, please add ORDER BY clause. For example SELECT (value_expr) OVER (PARTITION BY window_partition ORDER BY window_ordering) from table."
    ]
  },
  "_LEGACY_ERROR_TEMP_1039" : {
    "message" : [
      "Multiple time/session window expressions would result in a cartesian product of rows, therefore they are currently not supported."
    ]
  },
  "_LEGACY_ERROR_TEMP_1040" : {
    "message" : [
      "Gap duration expression used in session window must be CalendarIntervalType, but got 
."
    ]
  },
  "_LEGACY_ERROR_TEMP_1045" : {
    "message" : [
      "ALTER TABLE SET LOCATION does not support partition for v2 tables."
    ]
  },
  "_LEGACY_ERROR_TEMP_1046" : {
    "message" : [
      "Join strategy hint parameter should be an identifier or string but was  ()."
    ]
  },
  "_LEGACY_ERROR_TEMP_1047" : {
    "message" : [
      " Hint parameter should include columns, but  found."
    ]
  },
  "_LEGACY_ERROR_TEMP_1048" : {
    "message" : [
      " Hint expects a partition number as a parameter."
    ]
  },
  "_LEGACY_ERROR_TEMP_1049" : {
    "message" : [
      "Syntax error in attribute name: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1050" : {
    "message" : [
      "Can only star expand struct data types. Attribute: ``."
    ]
  },
  "_LEGACY_ERROR_TEMP_1052" : {
    "message" : [
      "ADD COLUMN with v1 tables cannot specify NOT NULL."
    ]
  },
  "_LEGACY_ERROR_TEMP_1058" : {
    "message" : [
      "Cannot create table with both USING  and ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1059" : {
    "message" : [
      "STORED AS with file format '' is invalid."
    ]
  },
  "_LEGACY_ERROR_TEMP_1060" : {
    "message" : [
      " does not support nested column: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1066" : {
    "message" : [
      " is a system preserved database, you cannot create a database with this name."
    ]
  },
  "_LEGACY_ERROR_TEMP_1068" : {
    "message" : [
      " is a system preserved database, you cannot use it as current database. To access global temporary views, you should use qualified name with the GLOBAL_TEMP_DATABASE, e.g. SELECT * FROM .viewName."
    ]
  },
  "_LEGACY_ERROR_TEMP_1069" : {
    "message" : [
      "CREATE EXTERNAL TABLE must be accompanied by LOCATION."
    ]
  },
  "_LEGACY_ERROR_TEMP_1071" : {
    "message" : [
      "Some existing schema fields () are not present in the new schema. We don't support dropping columns yet."
    ]
  },
  "_LEGACY_ERROR_TEMP_1072" : {
    "message" : [
      "Only the tables/views belong to the same database can be retrieved. Querying tables/views are ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1073" : {
    "message" : [
      "RENAME TABLE source and destination databases do not match: '' != ''."
    ]
  },
  "_LEGACY_ERROR_TEMP_1074" : {
    "message" : [
      "RENAME TEMPORARY VIEW from '' to '': cannot specify database name '' in the destination table."
    ]
  },
  "_LEGACY_ERROR_TEMP_1076" : {
    "message" : [
      "Partition spec is invalid. 
."
    ]
  },
  "_LEGACY_ERROR_TEMP_1079" : {
    "message" : [
      "Resource Type '' is not supported."
    ]
  },
  "_LEGACY_ERROR_TEMP_1080" : {
    "message" : [
      "Table  did not specify database."
    ]
  },
  "_LEGACY_ERROR_TEMP_1081" : {
    "message" : [
      "Table  did not specify locationUri."
    ]
  },
  "_LEGACY_ERROR_TEMP_1082" : {
    "message" : [
      "Partition [] did not specify locationUri."
    ]
  },
  "_LEGACY_ERROR_TEMP_1083" : {
    "message" : [
      "Number of buckets should be greater than 0 but less than or equal to bucketing.maxBuckets (``). Got ``."
    ]
  },
  "_LEGACY_ERROR_TEMP_1089" : {
    "message" : [
      "Column statistics deserialization is not supported for column  of data type: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1090" : {
    "message" : [
      "Column statistics serialization is not supported for column  of data type: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1097" : {
    "message" : [
      "The field for corrupt records must be string type and nullable."
    ]
  },
  "_LEGACY_ERROR_TEMP_1098" : {
    "message" : [
      "DataType '' is not supported by ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1099" : {
    "message" : [
      "() doesn't support the  mode. Acceptable modes are  and ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1103" : {
    "message" : [
      "Unsupported component type  in arrays."
    ]
  },
  "_LEGACY_ERROR_TEMP_1104" : {
    "message" : [
      "The second argument should be a double literal."
    ]
  },
  "_LEGACY_ERROR_TEMP_1107" : {
    "message" : [
      "Table  declares  capability but  is not an instance of ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1108" : {
    "message" : [
      "Delete by condition with subquery is not supported: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1109" : {
    "message" : [
      "Exec update failed: cannot translate expression to source filter: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1110" : {
    "message" : [
      "Cannot delete from table  where ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1111" : {
    "message" : [
      "DESCRIBE does not support partition for v2 tables."
    ]
  },
  "_LEGACY_ERROR_TEMP_1114" : {
    "message" : [
      "The streaming sources in a query do not have a common supported execution mode.",
      "Sources support micro-batch: .",
      "Sources support continuous: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1120" : {
    "message" : [
      "Unsupported NamespaceChange  in JDBC catalog."
    ]
  },
  "_LEGACY_ERROR_TEMP_1121" : {
    "message" : [
      "Table does not support : ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1122" : {
    "message" : [
      "Table  is not a row-level operation table."
    ]
  },
  "_LEGACY_ERROR_TEMP_1123" : {
    "message" : [
      "Cannot rename a table with ALTER VIEW. Please use ALTER TABLE instead."
    ]
  },
  "_LEGACY_ERROR_TEMP_1125" : {
    "message" : [
      "Database from v1 session catalog is not specified."
    ]
  },
  "_LEGACY_ERROR_TEMP_1126" : {
    "message" : [
      "Nested databases are not supported by v1 session catalog: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1127" : {
    "message" : [
      "Invalid partitionExprs specified:  For range partitioning use REPARTITION_BY_RANGE instead."
    ]
  },
  "_LEGACY_ERROR_TEMP_1128" : {
    "message" : [
      "Failed to resolve the schema for  for the partition column: . It must be specified manually."
    ]
  },
  "_LEGACY_ERROR_TEMP_1132" : {
    "message" : [
      "A schema needs to be specified when using ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1133" : {
    "message" : [
      "The user-specified schema doesn't match the actual schema:",
      "user-specified: , actual: . If you're using",
      "DataFrameReader.schema API or creating a table, please do not specify the schema.",
      "Or if you're scanning an existed table, please drop it and re-create it."
    ]
  },
  "_LEGACY_ERROR_TEMP_1134" : {
    "message" : [
      "Unable to infer schema for  at . It must be specified manually."
    ]
  },
  "_LEGACY_ERROR_TEMP_1135" : {
    "message" : [
      " is not a valid Spark SQL Data Source."
    ]
  },
  "_LEGACY_ERROR_TEMP_1136" : {
    "message" : [
      "Cannot save interval data type into external storage."
    ]
  },
  "_LEGACY_ERROR_TEMP_1137" : {
    "message" : [
      "Unable to resolve  given []."
    ]
  },
  "_LEGACY_ERROR_TEMP_1138" : {
    "message" : [
      "Hive built-in ORC data source must be used with Hive support enabled. Please use the native ORC data source by setting 'spark.sql.orc.impl' to 'native'."
    ]
  },
  "_LEGACY_ERROR_TEMP_1139" : {
    "message" : [
      "Failed to find data source: . Avro is built-in but external data source module since Spark 2.4. Please deploy the application as per the deployment section of Apache Avro Data Source Guide."
    ]
  },
  "_LEGACY_ERROR_TEMP_1140" : {
    "message" : [
      "Failed to find data source: . Please deploy the application as per the deployment section of Structured Streaming + Kafka Integration Guide."
    ]
  },
  "_LEGACY_ERROR_TEMP_1141" : {
    "message" : [
      "Multiple sources found for  (), please specify the fully qualified class name."
    ]
  },
  "_LEGACY_ERROR_TEMP_1142" : {
    "message" : [
      "Datasource does not support writing empty or nested empty schemas. Please make sure the data schema has at least one or more column(s)."
    ]
  },
  "_LEGACY_ERROR_TEMP_1143" : {
    "message" : [
      "The data to be inserted needs to have the same number of columns as the target table: target table has  column(s) but the inserted data has  column(s), which contain  partition column(s) having assigned constant values."
    ]
  },
  "_LEGACY_ERROR_TEMP_1144" : {
    "message" : [
      "The data to be inserted needs to have the same number of partition columns as the target table: target table has  partition column(s) but the inserted data has  partition columns specified."
    ]
  },
  "_LEGACY_ERROR_TEMP_1145" : {
    "message" : [
      " is not a partition column. Partition columns are ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1146" : {
    "message" : [
      "Partition column  have multiple values specified, . Please only specify a single value."
    ]
  },
  "_LEGACY_ERROR_TEMP_1147" : {
    "message" : [
      "The ordering of partition columns is . All partition columns having constant values need to appear before other partition columns that do not have an assigned constant value."
    ]
  },
  "_LEGACY_ERROR_TEMP_1149" : {
    "message" : [
      "Fail to rebuild expression: missing key  in `translatedFilterToExpr`."
    ]
  },
  "_LEGACY_ERROR_TEMP_1151" : {
    "message" : [
      "Fail to resolve data source for the table  since the table serde property has the duplicated key  with extra options specified for this scan operation. To fix this, you can rollback to the legacy behavior of ignoring the extra options by setting the config  to `false`, or address the conflicts of the same config."
    ]
  },
  "_LEGACY_ERROR_TEMP_1155" : {
    "message" : [
      "Partition column `` not found in schema ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1156" : {
    "message" : [
      "Column  not found in schema ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1158" : {
    "message" : [
      "Saving data into a view is not allowed."
    ]
  },
  "_LEGACY_ERROR_TEMP_1159" : {
    "message" : [
      "The format of the existing table  is ``. It doesn't match the specified format ``."
    ]
  },
  "_LEGACY_ERROR_TEMP_1160" : {
    "message" : [
      "The location of the existing table  is ``. It doesn't match the specified location ``."
    ]
  },
  "_LEGACY_ERROR_TEMP_1161" : {
    "message" : [
      "The column number of the existing table  () doesn't match the data schema ()."
    ]
  },
  "_LEGACY_ERROR_TEMP_1162" : {
    "message" : [
      "Cannot resolve '' given input columns: []."
    ]
  },
  "_LEGACY_ERROR_TEMP_1163" : {
    "message" : [
      "Specified partitioning does not match that of the existing table .",
      "Specified partition columns: [].",
      "Existing partition columns: []."
    ]
  },
  "_LEGACY_ERROR_TEMP_1164" : {
    "message" : [
      "Specified bucketing does not match that of the existing table .",
      "Specified bucketing: .",
      "Existing bucketing: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1165" : {
    "message" : [
      "It is not allowed to specify partitioning when the table schema is not defined."
    ]
  },
  "_LEGACY_ERROR_TEMP_1166" : {
    "message" : [
      "Bucketing column '' should not be part of partition columns ''."
    ]
  },
  "_LEGACY_ERROR_TEMP_1167" : {
    "message" : [
      "Bucket sorting column '' should not be part of partition columns ''."
    ]
  },
  "_LEGACY_ERROR_TEMP_1169" : {
    "message" : [
      "Requested partitioning does not match the table :",
      "Requested partitions: .",
      "Table partitions: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1171" : {
    "message" : [
      "createTableColumnTypes option column not found in schema ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1181" : {
    "message" : [
      "Stream-stream join without equality predicate is not supported."
    ]
  },
  "_LEGACY_ERROR_TEMP_1182" : {
    "message" : [
      "Column  are ambiguous. It's probably because you joined several Datasets together, and some of these Datasets are the same. This column points to one of the Datasets but Spark is unable to figure out which one. Please alias the Datasets with different names via `Dataset.as` before joining them, and specify the column using qualified name, e.g. `df.as(\"a\").join(df.as(\"b\"), $\"a.id\" > $\"b.id\")`. You can also set  to false to disable this check."
    ]
  },
  "_LEGACY_ERROR_TEMP_1183" : {
    "message" : [
      "Cannot use \"INTERVAL\" type in the table schema."
    ]
  },
  "_LEGACY_ERROR_TEMP_1184" : {
    "message" : [
      "Catalog  does not support ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1186" : {
    "message" : [
      "Multi-part identifier cannot be empty."
    ]
  },
  "_LEGACY_ERROR_TEMP_1187" : {
    "message" : [
      "Hive data source can only be used with tables, you can not  files of Hive data source directly."
    ]
  },
  "_LEGACY_ERROR_TEMP_1188" : {
    "message" : [
      "There is a 'path' option set and () is called with a path parameter. Either remove the path option, or call () without the parameter. To ignore this check, set '' to 'true'."
    ]
  },
  "_LEGACY_ERROR_TEMP_1189" : {
    "message" : [
      "User specified schema not supported with ``."
    ]
  },
  "_LEGACY_ERROR_TEMP_1190" : {
    "message" : [
      "Temporary view  doesn't support streaming write."
    ]
  },
  "_LEGACY_ERROR_TEMP_1191" : {
    "message" : [
      "Streaming into views  is not supported."
    ]
  },
  "_LEGACY_ERROR_TEMP_1192" : {
    "message" : [
      "The input source() is different from the table 's data source provider()."
    ]
  },
  "_LEGACY_ERROR_TEMP_1193" : {
    "message" : [
      "Table  doesn't support streaming write - ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1194" : {
    "message" : [
      "queryName must be specified for memory sink."
    ]
  },
  "_LEGACY_ERROR_TEMP_1195" : {
    "message" : [
      "'' is not supported with continuous trigger."
    ]
  },
  "_LEGACY_ERROR_TEMP_1196" : {
    "message" : [
      " column  not found in existing columns ()."
    ]
  },
  "_LEGACY_ERROR_TEMP_1197" : {
    "message" : [
      "'' does not support partitioning."
    ]
  },
  "_LEGACY_ERROR_TEMP_1198" : {
    "message" : [
      "Function '' cannot process input: (): ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1199" : {
    "message" : [
      "Invalid bound function ': there are  arguments but  parameters returned from 'inputTypes()'."
    ]
  },
  "_LEGACY_ERROR_TEMP_1201" : {
    "message" : [
      "Cannot resolve column name \"\" among ()."
    ]
  },
  "_LEGACY_ERROR_TEMP_1205" : {
    "message" : [
      "Expected only partition pruning predicates: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1207" : {
    "message" : [
      "The duration and time inputs to window must be an integer, long or string literal."
    ]
  },
  "_LEGACY_ERROR_TEMP_1210" : {
    "message" : [
      "The second argument in  should be a boolean literal."
    ]
  },
  "_LEGACY_ERROR_TEMP_1211" : {
    "message" : [
      "Detected implicit cartesian product for  join between logical plans",
      "",
      "and",
      "",
      "Join condition is missing or trivial.",
      "Either: use the CROSS JOIN syntax to allow cartesian products between these relations, or: enable implicit cartesian products by setting the configuration variable spark.sql.crossJoin.enabled=true."
    ]
  },
  "_LEGACY_ERROR_TEMP_1212" : {
    "message" : [
      "Found conflicting attributes  in the condition joining outer plan:",
      "",
      "and subplan:",
      "."
    ]
  },
  "_LEGACY_ERROR_TEMP_1213" : {
    "message" : [
      "Window expression is empty in ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1214" : {
    "message" : [
      "Found different window function type in ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1218" : {
    "message" : [
      " should be converted to HadoopFsRelation."
    ]
  },
  "_LEGACY_ERROR_TEMP_1219" : {
    "message" : [
      "Hive metastore does not support altering database location."
    ]
  },
  "_LEGACY_ERROR_TEMP_1222" : {
    "message" : [
      "Unknown resource type: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1223" : {
    "message" : [
      "Invalid field id '' in day-time interval. Supported interval fields: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1224" : {
    "message" : [
      "'interval  to ' is invalid."
    ]
  },
  "_LEGACY_ERROR_TEMP_1225" : {
    "message" : [
      "Invalid field id '' in year-month interval. Supported interval fields: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1226" : {
    "message" : [
      "The SQL config '' was removed in the version . "
    ]
  },
  "_LEGACY_ERROR_TEMP_1228" : {
    "message" : [
      "Decimal scale () cannot be greater than precision ()."
    ]
  },
  "_LEGACY_ERROR_TEMP_1231" : {
    "message" : [
      " is not a valid partition column in table ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1232" : {
    "message" : [
      "Partition spec is invalid. The spec () must match the partition spec () defined in table ''."
    ]
  },
  "_LEGACY_ERROR_TEMP_1237" : {
    "message" : [
      "The list of partition columns with values in partition specification for table '' in database '' is not a prefix of the list of partition columns defined in the table schema. Expected a prefix of [], but got []."
    ]
  },
  "_LEGACY_ERROR_TEMP_1239" : {
    "message" : [
      "Analyzing column statistics is not supported for column  of data type: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1241" : {
    "message" : [
      "CREATE-TABLE-AS-SELECT cannot create table with location to a non-empty directory . To allow overwriting the existing non-empty directory, set '' to true."
    ]
  },
  "_LEGACY_ERROR_TEMP_1246" : {
    "message" : [
      "Can't find column `` given table data columns ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1247" : {
    "message" : [
      "Operation not allowed: ALTER TABLE SET [SERDE | SERDEPROPERTIES] for a specific partition is not supported for tables created with the datasource API."
    ]
  },
  "_LEGACY_ERROR_TEMP_1248" : {
    "message" : [
      "Operation not allowed: ALTER TABLE SET SERDE is not supported for tables created with the datasource API."
    ]
  },
  "_LEGACY_ERROR_TEMP_1250" : {
    "message" : [
      " is not allowed on  since filesource partition management is disabled (spark.sql.hive.manageFilesourcePartitions = false)."
    ]
  },
  "_LEGACY_ERROR_TEMP_1251" : {
    "message" : [
      " is not allowed on  since its partition metadata is not stored in the Hive metastore. To import this information into the metastore, run `msck repair table `."
    ]
  },
  "_LEGACY_ERROR_TEMP_1252" : {
    "message" : [
      "Cannot alter a view with ALTER TABLE. Please use ALTER VIEW instead."
    ]
  },
  "_LEGACY_ERROR_TEMP_1253" : {
    "message" : [
      "Cannot alter a table with ALTER VIEW. Please use ALTER TABLE instead."
    ]
  },
  "_LEGACY_ERROR_TEMP_1255" : {
    "message" : [
      "Cannot drop built-in function ''."
    ]
  },
  "_LEGACY_ERROR_TEMP_1256" : {
    "message" : [
      "Cannot refresh built-in function ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1257" : {
    "message" : [
      "Cannot refresh temporary function ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1259" : {
    "message" : [
      "ALTER ADD COLUMNS does not support views. You must drop and re-create the views for adding the new columns. Views: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1260" : {
    "message" : [
      "ALTER ADD COLUMNS does not support datasource table with type . You must drop and re-create the table for adding the new columns. Tables: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1261" : {
    "message" : [
      "LOAD DATA is not supported for datasource tables: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1262" : {
    "message" : [
      "LOAD DATA target table  is partitioned, but no partition spec is provided."
    ]
  },
  "_LEGACY_ERROR_TEMP_1263" : {
    "message" : [
      "LOAD DATA target table  is partitioned, but number of columns in provided partition spec () do not match number of partitioned columns in table ()."
    ]
  },
  "_LEGACY_ERROR_TEMP_1264" : {
    "message" : [
      "LOAD DATA target table  is not partitioned, but a partition spec was provided."
    ]
  },
  "_LEGACY_ERROR_TEMP_1266" : {
    "message" : [
      "Operation not allowed: TRUNCATE TABLE on external tables: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1267" : {
    "message" : [
      "Operation not allowed: TRUNCATE TABLE ... PARTITION is not supported for tables that are not partitioned: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1268" : {
    "message" : [
      "Failed to truncate table  when removing data of the path: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1276" : {
    "message" : [
      "The logical plan that represents the view is not analyzed."
    ]
  },
  "_LEGACY_ERROR_TEMP_1280" : {
    "message" : [
      "It is not allowed to create a persisted view from the Dataset API."
    ]
  },
  "_LEGACY_ERROR_TEMP_1286" : {
    "message" : [
      "User-defined partition column  not found in the JDBC relation: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1287" : {
    "message" : [
      "Partition column type should be , , or , but  found."
    ]
  },
  "_LEGACY_ERROR_TEMP_1288" : {
    "message" : [
      "Table or view '' already exists. SaveMode: ErrorIfExists."
    ]
  },
  "_LEGACY_ERROR_TEMP_1290" : {
    "message" : [
      "Text data source supports only a single column, and you have  columns."
    ]
  },
  "_LEGACY_ERROR_TEMP_1291" : {
    "message" : [
      "Can't find required partition column  in partition schema ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1292" : {
    "message" : [
      "Temporary view '' should not have specified a database."
    ]
  },
  "_LEGACY_ERROR_TEMP_1293" : {
    "message" : [
      "Hive data source can only be used with tables, you can't use it with CREATE TEMP VIEW USING."
    ]
  },
  "_LEGACY_ERROR_TEMP_1294" : {
    "message" : [
      "The timestamp provided for the '' option is invalid. The expected format is 'YYYY-MM-DDTHH:mm:ss', but the provided timestamp: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1295" : {
    "message" : [
      "Set a host to read from with option(\"host\", ...)."
    ]
  },
  "_LEGACY_ERROR_TEMP_1296" : {
    "message" : [
      "Set a port to read from with option(\"port\", ...)."
    ]
  },
  "_LEGACY_ERROR_TEMP_1297" : {
    "message" : [
      "IncludeTimestamp must be set to either \"true\" or \"false\"."
    ]
  },
  "_LEGACY_ERROR_TEMP_1298" : {
    "message" : [
      "checkpointLocation must be specified either through option(\"checkpointLocation\", ...) or SparkSession.conf.set(\"\", ...)."
    ]
  },
  "_LEGACY_ERROR_TEMP_1299" : {
    "message" : [
      "This query does not support recovering from checkpoint location. Delete  to start over."
    ]
  },
  "_LEGACY_ERROR_TEMP_1300" : {
    "message" : [
      "Unable to find the column `` given []."
    ]
  },
  "_LEGACY_ERROR_TEMP_1305" : {
    "message" : [
      "Unsupported TableChange  in JDBC catalog."
    ]
  },
  "_LEGACY_ERROR_TEMP_1306" : {
    "message" : [
      "There is a 'path' or 'paths' option set and load() is called with path parameters. Either remove the path option if it's the same as the path parameter, or add it to the load() parameter if you do want to read multiple paths. To ignore this check, set '' to 'true'."
    ]
  },
  "_LEGACY_ERROR_TEMP_1307" : {
    "message" : [
      "There is a 'path' option set and save() is called with a path parameter. Either remove the path option, or call save() without the parameter. To ignore this check, set '' to 'true'."
    ]
  },
  "_LEGACY_ERROR_TEMP_1309" : {
    "message" : [
      "insertInto() can't be used together with partitionBy(). Partition columns have already been defined for the table. It is not necessary to use partitionBy()."
    ]
  },
  "_LEGACY_ERROR_TEMP_1310" : {
    "message" : [
      "Couldn't find a catalog to handle the identifier ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1312" : {
    "message" : [
      "'' does not support bucketBy right now."
    ]
  },
  "_LEGACY_ERROR_TEMP_1313" : {
    "message" : [
      "'' does not support bucketBy and sortBy right now."
    ]
  },
  "_LEGACY_ERROR_TEMP_1316" : {
    "message" : [
      "Invalid partition transformation: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1320" : {
    "message" : [
      "Typed column  that needs input type and schema cannot be passed in untyped `select` API. Use the typed `Dataset.select` API instead."
    ]
  },
  "_LEGACY_ERROR_TEMP_1321" : {
    "message" : [
      "Invalid view name: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1322" : {
    "message" : [
      "Invalid number of buckets: bucket(, )."
    ]
  },
  "_LEGACY_ERROR_TEMP_1323" : {
    "message" : [
      "\"\" is not a numeric column. Aggregation function can only be applied on a numeric column."
    ]
  },
  "_LEGACY_ERROR_TEMP_1324" : {
    "message" : [
      "The pivot column  has more than  distinct values, this could indicate an error. If this was intended, set  to at least the number of distinct values of the pivot column."
    ]
  },
  "_LEGACY_ERROR_TEMP_1325" : {
    "message" : [
      "Cannot modify the value of a static config: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1327" : {
    "message" : [
      "Command execution is not supported in runner ."
    ]
  },
  "_LEGACY_ERROR_TEMP_1328" : {
    "message" : [
      "Can not instantiate class , please make sure it has public non argument constructor."
    ]
  },
  "_LEGACY_ERROR_TEMP_1329" : {
    "message" : [
      "Can not load class , please make sure it is on the classpath."
    ]
  },
  "_LEGACY_ERROR_TEMP_1330" : {
    "message" : [
      "Class  doesn't implement interface UserDefinedAggregateFunction."
    ]
  },
  "_LEGACY_ERROR_TEMP_1332" : {
    "message" : [
      ""
    ]
  },
  "_LEGACY_ERROR_TEMP_1338" : {
    "message" : [
      "Sinks cannot request distribution and ordering in continuous execution mode."
    ]
  },
  "_LEGACY_ERROR_TEMP_1344" : {
    "message" : [
      "Invalid DEFAULT value for column :  fails to parse as a valid literal value."
    ]
  },
  "_LEGACY_ERROR_TEMP_1345" : {
    "message" : [
      "Failed to execute  command because DEFAULT values are not supported for target data source with table provider: \"\"."
    ]
  },
  "_LEGACY_ERROR_TEMP_1346" : {
    "message" : [
      "Failed to execute  command because DEFAULT values are not supported when adding new columns to previously existing target data source with table provider: \"\"."
    ]
  },
  "_LEGACY_ERROR_TEMP_2000" : {
    "message" : [
      ". If necessary set  to false to bypass this error."
    ]
  },
  "_LEGACY_ERROR_TEMP_2003" : {
    "message" : [
      "Unsuccessful try to zip maps with  unique keys due to exceeding the array size limit ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2005" : {
    "message" : [
      "Type  does not support ordered operations."
    ]
  },
  "_LEGACY_ERROR_TEMP_2013" : {
    "message" : [
      "Negative values found in "
    ]
  },
  "_LEGACY_ERROR_TEMP_2017" : {
    "message" : [
      "not resolved."
    ]
  },
  "_LEGACY_ERROR_TEMP_2026" : {
    "message" : [
      "Failed to convert value  (class of ) with the type of  to JSON."
    ]
  },
  "_LEGACY_ERROR_TEMP_2027" : {
    "message" : [
      "Unexpected operator  in correlated subquery."
    ]
  },
  "_LEGACY_ERROR_TEMP_2028" : {
    "message" : [
      "This line should be unreachable."
    ]
  },
  "_LEGACY_ERROR_TEMP_2030" : {
    "message" : [
      "Can not handle nested schema yet...  plan ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2031" : {
    "message" : [
      "The input external row cannot be null."
    ]
  },
  "_LEGACY_ERROR_TEMP_2032" : {
    "message" : [
      ""
    ]
  },
  "_LEGACY_ERROR_TEMP_2033" : {
    "message" : [
      "Unable to create database  as failed to create its directory ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2034" : {
    "message" : [
      "Unable to drop database  as failed to delete its directory ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2035" : {
    "message" : [
      "Unable to create table  as failed to create its directory ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2036" : {
    "message" : [
      "Unable to delete partition path ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2037" : {
    "message" : [
      "Unable to drop table  as failed to delete its directory ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2038" : {
    "message" : [
      "Unable to rename table  to  as failed to rename its directory ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2039" : {
    "message" : [
      "Unable to create partition path ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2040" : {
    "message" : [
      "Unable to rename partition path ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2041" : {
    "message" : [
      " is not implemented."
    ]
  },
  "_LEGACY_ERROR_TEMP_2042" : {
    "message" : [
      ". If necessary set  to false to bypass this error."
    ]
  },
  "_LEGACY_ERROR_TEMP_2045" : {
    "message" : [
      "Unsupported table change: "
    ]
  },
  "_LEGACY_ERROR_TEMP_2046" : {
    "message" : [
      "[BUG] Not a DataSourceRDDPartition: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2047" : {
    "message" : [
      "'path' is not specified."
    ]
  },
  "_LEGACY_ERROR_TEMP_2048" : {
    "message" : [
      "Schema must be specified when creating a streaming source DataFrame. If some files already exist in the directory, then depending on the file format you may be able to create a static DataFrame on that directory with 'spark.read.load(directory)' and infer schema from it."
    ]
  },
  "_LEGACY_ERROR_TEMP_2049" : {
    "message" : [
      "Data source  does not support streamed ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2050" : {
    "message" : [
      "Expected exactly one path to be specified, but got: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2052" : {
    "message" : [
      " was removed in Spark 2.0. Please check if your library is compatible with Spark 2.0."
    ]
  },
  "_LEGACY_ERROR_TEMP_2053" : {
    "message" : [
      "buildReader is not supported for ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2056" : {
    "message" : [
      "Unable to clear output directory  prior to writing to it."
    ]
  },
  "_LEGACY_ERROR_TEMP_2057" : {
    "message" : [
      "Unable to clear partition directory  prior to writing to it."
    ]
  },
  "_LEGACY_ERROR_TEMP_2058" : {
    "message" : [
      "Failed to cast value `` to `` for partition column ``."
    ]
  },
  "_LEGACY_ERROR_TEMP_2059" : {
    "message" : [
      "End of stream."
    ]
  },
  "_LEGACY_ERROR_TEMP_2060" : {
    "message" : [
      "The fallback v1 relation reports inconsistent schema:",
      "Schema of v2 scan: .",
      "Schema of v1 relation: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2061" : {
    "message" : [
      "No records should be returned from EmptyDataReader."
    ]
  },
  "_LEGACY_ERROR_TEMP_2065" : {
    "message" : [
      "Cannot create columnar reader."
    ]
  },
  "_LEGACY_ERROR_TEMP_2066" : {
    "message" : [
      "Invalid namespace name: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2067" : {
    "message" : [
      "Unsupported partition transform: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2068" : {
    "message" : [
      "Missing database location."
    ]
  },
  "_LEGACY_ERROR_TEMP_2069" : {
    "message" : [
      "Cannot remove reserved property: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2070" : {
    "message" : [
      "Writing job failed."
    ]
  },
  "_LEGACY_ERROR_TEMP_2071" : {
    "message" : [
      "Commit denied for partition  (task , attempt , stage .)."
    ]
  },
  "_LEGACY_ERROR_TEMP_2073" : {
    "message" : [
      "Cannot create JDBC table with partition."
    ]
  },
  "_LEGACY_ERROR_TEMP_2074" : {
    "message" : [
      "user-specified schema."
    ]
  },
  "_LEGACY_ERROR_TEMP_2075" : {
    "message" : [
      "Write is not supported for binary file data source."
    ]
  },
  "_LEGACY_ERROR_TEMP_2076" : {
    "message" : [
      "The length of  is , which exceeds the max length allowed: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2077" : {
    "message" : [
      "Unsupported field name: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2078" : {
    "message" : [
      "Both '' and '' can not be specified at the same time."
    ]
  },
  "_LEGACY_ERROR_TEMP_2079" : {
    "message" : [
      "Option '' or '' is required."
    ]
  },
  "_LEGACY_ERROR_TEMP_2080" : {
    "message" : [
      "Option `` can not be empty."
    ]
  },
  "_LEGACY_ERROR_TEMP_2081" : {
    "message" : [
      "Invalid value `` for parameter ``. This can be `NONE`, `READ_UNCOMMITTED`, `READ_COMMITTED`, `REPEATABLE_READ` or `SERIALIZABLE`."
    ]
  },
  "_LEGACY_ERROR_TEMP_2082" : {
    "message" : [
      "Can't get JDBC type for ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2083" : {
    "message" : [
      "Unsupported type ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2084" : {
    "message" : [
      "Unsupported array element type  based on binary."
    ]
  },
  "_LEGACY_ERROR_TEMP_2085" : {
    "message" : [
      "Nested arrays unsupported."
    ]
  },
  "_LEGACY_ERROR_TEMP_2086" : {
    "message" : [
      "Can't translate non-null value for field ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2087" : {
    "message" : [
      "Invalid value `` for parameter `` in table writing via JDBC. The minimum value is 1."
    ]
  },
  "_LEGACY_ERROR_TEMP_2089" : {
    "message" : [
      "DataType: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2090" : {
    "message" : [
      "The input filter of  should be fully convertible."
    ]
  },
  "_LEGACY_ERROR_TEMP_2093" : {
    "message" : [
      "Found duplicate field(s) \"\":  in case-insensitive mode."
    ]
  },
  "_LEGACY_ERROR_TEMP_2094" : {
    "message" : [
      "Found duplicate field(s) \"\":  in id mapping mode."
    ]
  },
  "_LEGACY_ERROR_TEMP_2095" : {
    "message" : [
      "Failed to merge incompatible schemas  and ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2096" : {
    "message" : [
      " is not supported temporarily."
    ]
  },
  "_LEGACY_ERROR_TEMP_2097" : {
    "message" : [
      "Could not execute broadcast in  secs. You can increase the timeout for broadcasts via  or disable broadcast join by setting  to -1."
    ]
  },
  "_LEGACY_ERROR_TEMP_2098" : {
    "message" : [
      "Could not compare cost with ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2100" : {
    "message" : [
      "not support type: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2101" : {
    "message" : [
      "Not support non-primitive type now."
    ]
  },
  "_LEGACY_ERROR_TEMP_2103" : {
    "message" : [
      "Dictionary encoding should not be used because of dictionary overflow."
    ]
  },
  "_LEGACY_ERROR_TEMP_2104" : {
    "message" : [
      "End of the iterator."
    ]
  },
  "_LEGACY_ERROR_TEMP_2105" : {
    "message" : [
      "Could not allocate memory to grow BytesToBytesMap."
    ]
  },
  "_LEGACY_ERROR_TEMP_2106" : {
    "message" : [
      "Can't acquire  bytes memory to build hash relation, got  bytes."
    ]
  },
  "_LEGACY_ERROR_TEMP_2107" : {
    "message" : [
      "There is not enough memory to build hash map."
    ]
  },
  "_LEGACY_ERROR_TEMP_2108" : {
    "message" : [
      "Does not support row that is larger than 256M."
    ]
  },
  "_LEGACY_ERROR_TEMP_2109" : {
    "message" : [
      "Cannot build HashedRelation with more than 1/3 billion unique keys."
    ]
  },
  "_LEGACY_ERROR_TEMP_2110" : {
    "message" : [
      "Cannot build a HashedRelation that is larger than 8G."
    ]
  },
  "_LEGACY_ERROR_TEMP_2111" : {
    "message" : [
      "Failed to push a row into ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2112" : {
    "message" : [
      "Unexpected window function frame ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2113" : {
    "message" : [
      "Unable to parse  as a percentile."
    ]
  },
  "_LEGACY_ERROR_TEMP_2114" : {
    "message" : [
      " is not a recognised statistic."
    ]
  },
  "_LEGACY_ERROR_TEMP_2115" : {
    "message" : [
      "Unknown column: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2116" : {
    "message" : [
      "Unexpected: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2120" : {
    "message" : [
      "Do not support array of type ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2121" : {
    "message" : [
      "Do not support type ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2124" : {
    "message" : [
      "Failed to merge decimal types with incompatible scale  and ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2126" : {
    "message" : [
      "Unsuccessful attempt to build maps with  elements due to exceeding the map size limit ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2128" : {
    "message" : [
      "The key array and value array of MapData must have the same length."
    ]
  },
  "_LEGACY_ERROR_TEMP_2129" : {
    "message" : [
      "Conflict found: Field   differs from   derived from ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2130" : {
    "message" : [
      "Fail to recognize '' pattern in the DateTimeFormatter. You can form a valid datetime pattern with the guide from '/sql-ref-datetime-pattern.html'."
    ]
  },
  "_LEGACY_ERROR_TEMP_2131" : {
    "message" : [
      "Exception when registering StreamingQueryListener."
    ]
  },
  "_LEGACY_ERROR_TEMP_2138" : {
    "message" : [
      "Cannot have circular references in bean class, but got the circular reference of class ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2139" : {
    "message" : [
      "cannot have circular references in class, but got the circular reference of class ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2140" : {
    "message" : [
      "`` is not a valid identifier of Java and cannot be used as field name",
      "."
    ]
  },
  "_LEGACY_ERROR_TEMP_2144" : {
    "message" : [
      "Unable to find constructor for . This could happen if  is an interface, or a trait without companion object constructor."
    ]
  },
  "_LEGACY_ERROR_TEMP_2145" : {
    "message" : [
      " cannot be more than one character."
    ]
  },
  "_LEGACY_ERROR_TEMP_2146" : {
    "message" : [
      " should be an integer. Found ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2147" : {
    "message" : [
      " flag can be true or false."
    ]
  },
  "_LEGACY_ERROR_TEMP_2148" : {
    "message" : [
      "null value found but field  is not nullable."
    ]
  },
  "_LEGACY_ERROR_TEMP_2150" : {
    "message" : [
      "Due to Scala's limited support of tuple, tuple with more than 22 elements are not supported."
    ]
  },
  "_LEGACY_ERROR_TEMP_2154" : {
    "message" : [
      "Failed to get outer pointer for ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2155" : {
    "message" : [
      " is not annotated with SQLUserDefinedType nor registered with UDTRegistration.}"
    ]
  },
  "_LEGACY_ERROR_TEMP_2163" : {
    "message" : [
      "Initial type  must be a ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2164" : {
    "message" : [
      "Initial type  must be an , a  or a ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2165" : {
    "message" : [
      "Malformed records are detected in schema inference. Parse Mode: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2166" : {
    "message" : [
      "Malformed JSON."
    ]
  },
  "_LEGACY_ERROR_TEMP_2167" : {
    "message" : [
      "Malformed records are detected in schema inference. Parse Mode: . Reasons: Failed to infer a common schema. Struct types are expected, but `` was found."
    ]
  },
  "_LEGACY_ERROR_TEMP_2168" : {
    "message" : [
      "Decorrelate inner query through  is not supported."
    ]
  },
  "_LEGACY_ERROR_TEMP_2169" : {
    "message" : [
      "This method should not be called in the analyzer."
    ]
  },
  "_LEGACY_ERROR_TEMP_2170" : {
    "message" : [
      "Cannot safely merge SERDEPROPERTIES:",
      "",
      "",
      "The conflict keys: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2171" : {
    "message" : [
      "Not supported pair: ,  at ()."
    ]
  },
  "_LEGACY_ERROR_TEMP_2172" : {
    "message" : [
      "Once strategy's idempotence is broken for batch ",
      "."
    ]
  },
  "_LEGACY_ERROR_TEMP_2176" : {
    "message" : [
      "Cannot create array with  elements of data due to exceeding the limit  elements for ArrayData. "
    ]
  },
  "_LEGACY_ERROR_TEMP_2179" : {
    "message" : [
      "HiveServer2 Kerberos principal or keytab is not correctly configured."
    ]
  },
  "_LEGACY_ERROR_TEMP_2180" : {
    "message" : [
      "Parent SparkUI to attach this tab to not found."
    ]
  },
  "_LEGACY_ERROR_TEMP_2181" : {
    "message" : [
      "inferSchema is not supported for hive data source."
    ]
  },
  "_LEGACY_ERROR_TEMP_2182" : {
    "message" : [
      "Requested partitioning does not match the  table:",
      "Requested partitions: .",
      "Table partitions: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2183" : {
    "message" : [
      "Dynamic partition key  is not among written partition paths."
    ]
  },
  "_LEGACY_ERROR_TEMP_2184" : {
    "message" : [
      "Cannot remove partition directory ''."
    ]
  },
  "_LEGACY_ERROR_TEMP_2185" : {
    "message" : [
      "Cannot create staging directory: "
    ]
  },
  "_LEGACY_ERROR_TEMP_2186" : {
    "message" : [
      "The SerDe interface removed since Hive 2.3(HIVE-15167). Please migrate your custom SerDes to Hive 2.3. See HIVE-15167 for more details."
    ]
  },
  "_LEGACY_ERROR_TEMP_2187" : {
    "message" : [
      ", db: , table: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2192" : {
    "message" : [
      "Partition filter cannot have both `\"` and `'` characters."
    ]
  },
  "_LEGACY_ERROR_TEMP_2193" : {
    "message" : [
      "Caught Hive MetaException attempting to get partition metadata by filter from Hive. You can set the Spark configuration setting  to true to work around this problem, however this will result in degraded performance. Please report a bug: https://issues.apache.org/jira/browse/SPARK."
    ]
  },
  "_LEGACY_ERROR_TEMP_2194" : {
    "message" : [
      "Unsupported Hive Metastore version . Please set  with a valid version."
    ]
  },
  "_LEGACY_ERROR_TEMP_2195" : {
    "message" : [
      " when creating Hive client using classpath:  Please make sure that jars for your version of hive and hadoop are included in the paths passed to ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2198" : {
    "message" : [
      "Failed to rename as  already exists."
    ]
  },
  "_LEGACY_ERROR_TEMP_2200" : {
    "message" : [
      "Error: we detected a possible problem with the location of your \"_spark_metadata\"",
      "directory and you likely need to move it before restarting this query.",
      "",
      "Earlier version of Spark incorrectly escaped paths when writing out the",
      "\"_spark_metadata\" directory for structured streaming. While this was corrected in",
      "Spark 3.0, it appears that your query was started using an earlier version that",
      "",
      "Correct \"_spark_metadata\" Directory: ",
      "Incorrect \"_spark_metadata\" Directory: ",
      "",
      "Please move the data from the incorrect directory to the correct one, delete the",
      "incorrect directory, and then restart this query. If you believe you are receiving",
      "this message in error, you can disable it with the SQL conf",
      "."
    ]
  },
  "_LEGACY_ERROR_TEMP_2201" : {
    "message" : [
      "Partition column not found in schema ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2203" : {
    "message" : [
      "Cannot set timeout duration without enabling processing time timeout in [map|flatMap]GroupsWithState."
    ]
  },
  "_LEGACY_ERROR_TEMP_2204" : {
    "message" : [
      "Cannot get event time watermark timestamp without setting watermark before [map|flatMap]GroupsWithState."
    ]
  },
  "_LEGACY_ERROR_TEMP_2205" : {
    "message" : [
      "Cannot set timeout timestamp without enabling event time timeout in [map|flatMapGroupsWithState."
    ]
  },
  "_LEGACY_ERROR_TEMP_2207" : {
    "message" : [
      "Multiple streaming queries are concurrently using ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2208" : {
    "message" : [
      " does not support adding files with an absolute path."
    ]
  },
  "_LEGACY_ERROR_TEMP_2209" : {
    "message" : [
      "Data source  does not support microbatch processing.",
      "",
      "Either the data source is disabled at",
      "SQLConf.get.DISABLED_V2_STREAMING_MICROBATCH_READERS.key (The disabled sources",
      "are []) or the table  does not have MICRO_BATCH_READ",
      "capability. Meanwhile, the fallback, data source v1, is not available.\""
    ]
  },
  "_LEGACY_ERROR_TEMP_2210" : {
    "message" : [
      "StreamingRelationExec cannot be executed."
    ]
  },
  "_LEGACY_ERROR_TEMP_2212" : {
    "message" : [
      "Invalid catalog name: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2214" : {
    "message" : [
      "Plugin class for catalog '' does not implement CatalogPlugin: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2215" : {
    "message" : [
      "Cannot find catalog plugin class for catalog '': ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2216" : {
    "message" : [
      "Failed to find public no-arg constructor for catalog '': )."
    ]
  },
  "_LEGACY_ERROR_TEMP_2217" : {
    "message" : [
      "Failed to call public no-arg constructor for catalog '': )."
    ]
  },
  "_LEGACY_ERROR_TEMP_2218" : {
    "message" : [
      "Cannot instantiate abstract catalog plugin class for catalog '': ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2219" : {
    "message" : [
      "Failed during instantiating constructor for catalog '': ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2220" : {
    "message" : [
      ""
    ]
  },
  "_LEGACY_ERROR_TEMP_2222" : {
    "message" : [
      "Cannot mutate ReadOnlySQLConf."
    ]
  },
  "_LEGACY_ERROR_TEMP_2223" : {
    "message" : [
      "Cannot clone/copy ReadOnlySQLConf."
    ]
  },
  "_LEGACY_ERROR_TEMP_2224" : {
    "message" : [
      "Cannot get SQLConf inside scheduler event loop thread."
    ]
  },
  "_LEGACY_ERROR_TEMP_2225" : {
    "message" : [
      ""
    ]
  },
  "_LEGACY_ERROR_TEMP_2226" : {
    "message" : [
      "null literals can't be casted to ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2227" : {
    "message" : [
      " is not an UserDefinedType. Please make sure registering an UserDefinedType for ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2228" : {
    "message" : [
      "Can not load in UserDefinedType  for user class ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2229" : {
    "message" : [
      " is not a public class. Only public classes are supported."
    ]
  },
  "_LEGACY_ERROR_TEMP_2230" : {
    "message" : [
      "Primitive types are not supported."
    ]
  },
  "_LEGACY_ERROR_TEMP_2233" : {
    "message" : [
      "Only Data Sources providing FileFormat are supported: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2234" : {
    "message" : [
      "Failed to set original ACL  back to the created path: . Exception: "
    ]
  },
  "_LEGACY_ERROR_TEMP_2235" : {
    "message" : [
      "Multiple failures in stage materialization."
    ]
  },
  "_LEGACY_ERROR_TEMP_2236" : {
    "message" : [
      "Unrecognized compression scheme type ID: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2237" : {
    "message" : [
      ".getParentLogger is not yet implemented."
    ]
  },
  "_LEGACY_ERROR_TEMP_2241" : {
    "message" : [
      "Nonatomic partition table  can not add multiple partitions."
    ]
  },
  "_LEGACY_ERROR_TEMP_2242" : {
    "message" : [
      " source does not support user-specified schema."
    ]
  },
  "_LEGACY_ERROR_TEMP_2243" : {
    "message" : [
      "Nonatomic partition table  can not drop multiple partitions."
    ]
  },
  "_LEGACY_ERROR_TEMP_2244" : {
    "message" : [
      "The table  does not support truncation of multiple partition."
    ]
  },
  "_LEGACY_ERROR_TEMP_2245" : {
    "message" : [
      "Table does not support overwrite by expression: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2246" : {
    "message" : [
      "Table does not support dynamic partition overwrite: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2248" : {
    "message" : [
      "Cannot broadcast the table over  rows:  rows."
    ]
  },
  "_LEGACY_ERROR_TEMP_2249" : {
    "message" : [
      "Cannot broadcast the table that is larger than : ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2250" : {
    "message" : [
      "Not enough memory to build and broadcast the table to all worker nodes. As a workaround, you can either disable broadcast by setting  to -1 or increase the spark driver memory by setting  to a higher value"
    ]
  },
  "_LEGACY_ERROR_TEMP_2251" : {
    "message" : [
      " does not support the execute() code path."
    ]
  },
  "_LEGACY_ERROR_TEMP_2252" : {
    "message" : [
      "Cannot merge  with ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2253" : {
    "message" : [
      "Data source  does not support continuous processing."
    ]
  },
  "_LEGACY_ERROR_TEMP_2254" : {
    "message" : [
      "Data read failed."
    ]
  },
  "_LEGACY_ERROR_TEMP_2255" : {
    "message" : [
      "Epoch marker generation failed."
    ]
  },
  "_LEGACY_ERROR_TEMP_2256" : {
    "message" : [
      "Foreach writer has been aborted due to a task failure."
    ]
  },
  "_LEGACY_ERROR_TEMP_2260" : {
    "message" : [
      "Cannot purge as it might break internal state."
    ]
  },
  "_LEGACY_ERROR_TEMP_2261" : {
    "message" : [
      "Clean up source files is not supported when reading from the output directory of FileStreamSink."
    ]
  },
  "_LEGACY_ERROR_TEMP_2262" : {
    "message" : [
      "latestOffset(Offset, ReadLimit) should be called instead of this method."
    ]
  },
  "_LEGACY_ERROR_TEMP_2263" : {
    "message" : [
      "Error: we detected a possible problem with the location of your checkpoint and you",
      "likely need to move it before restarting this query.",
      "",
      "Earlier version of Spark incorrectly escaped paths when writing out checkpoints for",
      "structured streaming. While this was corrected in Spark 3.0, it appears that your",
      "query was started using an earlier version that incorrectly handled the checkpoint",
      "path.",
      "",
      "Correct Checkpoint Directory: ",
      "Incorrect Checkpoint Directory: ",
      "",
      "Please move the data from the incorrect directory to the correct one, delete the",
      "incorrect directory, and then restart this query. If you believe you are receiving",
      "this message in error, you can disable it with the SQL conf",
      "."
    ]
  },
  "_LEGACY_ERROR_TEMP_2264" : {
    "message" : [
      "Subprocess exited with status . Error: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2265" : {
    "message" : [
      " without serde does not support 
 as output data type."
    ]
  },
  "_LEGACY_ERROR_TEMP_2266" : {
    "message" : [
      "Invalid `startIndex` provided for generating iterator over the array. Total elements: , requested `startIndex`: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2267" : {
    "message" : [
      "The backing  has been modified since the creation of this Iterator."
    ]
  },
  "_LEGACY_ERROR_TEMP_2268" : {
    "message" : [
      " does not implement doExecuteBroadcast."
    ]
  },
  "_LEGACY_ERROR_TEMP_2269" : {
    "message" : [
      " is a system preserved database, please rename your existing database to resolve the name conflict, or set a different value for , and launch your Spark application again."
    ]
  },
  "_LEGACY_ERROR_TEMP_2270" : {
    "message" : [
      "comment on table is not supported."
    ]
  },
  "_LEGACY_ERROR_TEMP_2271" : {
    "message" : [
      "UpdateColumnNullability is not supported."
    ]
  },
  "_LEGACY_ERROR_TEMP_2272" : {
    "message" : [
      "Rename column is only supported for MySQL version 8.0 and above."
    ]
  },
  "_LEGACY_ERROR_TEMP_2273" : {
    "message" : [
      ""
    ]
  },
  "_LEGACY_ERROR_TEMP_2277" : {
    "message" : [
      "Number of dynamic partitions created is , which is more than . To solve this try to set  to at least ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2330" : {
    "message" : [
      "Cannot change nullable column to non-nullable: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_2446" : {
    "message" : [
      "Operation not allowed:  only works on table with location provided: "
    ]
  },
  "_LEGACY_ERROR_TEMP_2450" : {
    "message" : [
      "No handler for UDF/UDAF/UDTF ''"
    ]
  },
  "_LEGACY_ERROR_TEMP_3000" : {
    "message" : [
      "Unexpected Py4J server ."
    ]
  },
  "_LEGACY_ERROR_TEMP_3001" : {
    "message" : [
      "EOFException occurred while reading the port number from 's stdout."
    ]
  },
  "_LEGACY_ERROR_TEMP_3002" : {
    "message" : [
      "Data of type  is not supported"
    ]
  },
  "_LEGACY_ERROR_TEMP_3003" : {
    "message" : [
      "Could not compute split, block  of RDD  not found"
    ]
  },
  "_LEGACY_ERROR_TEMP_3004" : {
    "message" : [
      "Attempted to use  after its blocks have been removed!"
    ]
  },
  "_LEGACY_ERROR_TEMP_3005" : {
    "message" : [
      "Histogram on either an empty RDD or RDD containing +/-infinity or NaN"
    ]
  },
  "_LEGACY_ERROR_TEMP_3006" : {
    "message" : [
      "empty RDD"
    ]
  },
  "_LEGACY_ERROR_TEMP_3008" : {
    "message" : [
      "Cannot use map-side combining with array keys."
    ]
  },
  "_LEGACY_ERROR_TEMP_3009" : {
    "message" : [
      "HashPartitioner cannot partition array keys."
    ]
  },
  "_LEGACY_ERROR_TEMP_3010" : {
    "message" : [
      "reduceByKeyLocally() does not support array keys"
    ]
  },
  "_LEGACY_ERROR_TEMP_3011" : {
    "message" : [
      "This RDD lacks a SparkContext. It could happen in the following cases:",
      "(1) RDD transformations and actions are NOT invoked by the driver, but inside of other transformations; for example, rdd1.map(x => rdd2.values.count() * x) is invalid because the values transformation and count action cannot be performed inside of the rdd1.map transformation. For more information, see SPARK-5063.",
      "(2) When a Spark Streaming job recovers from checkpoint, this exception will be hit if a reference to an RDD not defined by the streaming job is used in DStream operations. For more information, See SPARK-13758."
    ]
  },
  "_LEGACY_ERROR_TEMP_3012" : {
    "message" : [
      "Cannot change storage level of an RDD after it was already assigned a level"
    ]
  },
  "_LEGACY_ERROR_TEMP_3013" : {
    "message" : [
      "Can only zip RDDs with same number of elements in each partition"
    ]
  },
  "_LEGACY_ERROR_TEMP_3014" : {
    "message" : [
      "empty collection"
    ]
  },
  "_LEGACY_ERROR_TEMP_3015" : {
    "message" : [
      "countByValueApprox() does not support arrays"
    ]
  },
  "_LEGACY_ERROR_TEMP_3016" : {
    "message" : [
      "Checkpoint directory has not been set in the SparkContext"
    ]
  },
  "_LEGACY_ERROR_TEMP_3017" : {
    "message" : [
      "Invalid checkpoint file: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3018" : {
    "message" : [
      "Failed to create checkpoint path "
    ]
  },
  "_LEGACY_ERROR_TEMP_3019" : {
    "message" : [
      "Checkpoint RDD has a different number of partitions from original RDD. Original",
      "RDD [ID: , num of partitions: ];",
      "Checkpoint RDD [ID: , num of partitions: ]."
    ]
  },
  "_LEGACY_ERROR_TEMP_3020" : {
    "message" : [
      "Checkpoint dir must be specified."
    ]
  },
  "_LEGACY_ERROR_TEMP_3021" : {
    "message" : [
      "Error asking standalone scheduler to shut down executors"
    ]
  },
  "_LEGACY_ERROR_TEMP_3022" : {
    "message" : [
      "Error stopping standalone scheduler's driver endpoint"
    ]
  },
  "_LEGACY_ERROR_TEMP_3023" : {
    "message" : [
      "Can't run submitMapStage on RDD with 0 partitions"
    ]
  },
  "_LEGACY_ERROR_TEMP_3024" : {
    "message" : [
      "attempted to access non-existent accumulator "
    ]
  },
  "_LEGACY_ERROR_TEMP_3025" : {
    "message" : [
      "TaskSetManagers should only send Resubmitted task statuses for tasks in ShuffleMapStages."
    ]
  },
  "_LEGACY_ERROR_TEMP_3026" : {
    "message" : [
      "duration() called on unfinished task"
    ]
  },
  "_LEGACY_ERROR_TEMP_3027" : {
    "message" : [
      "Unrecognized : "
    ]
  },
  "_LEGACY_ERROR_TEMP_3028" : {
    "message" : [
      ""
    ]
  },
  "_LEGACY_ERROR_TEMP_3029" : {
    "message" : [
      "Exiting due to error from cluster scheduler: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3030" : {
    "message" : [
      "Task  has not locked block  for writing"
    ]
  },
  "_LEGACY_ERROR_TEMP_3031" : {
    "message" : [
      "Block  does not exist"
    ]
  },
  "_LEGACY_ERROR_TEMP_3032" : {
    "message" : [
      "Error occurred while waiting for replication to finish"
    ]
  },
  "_LEGACY_ERROR_TEMP_3033" : {
    "message" : [
      "Unable to register with external shuffle server due to : "
    ]
  },
  "_LEGACY_ERROR_TEMP_3034" : {
    "message" : [
      "Error occurred while waiting for async. reregistration"
    ]
  },
  "_LEGACY_ERROR_TEMP_3035" : {
    "message" : [
      "Unexpected shuffle block  with unsupported shuffle resolver "
    ]
  },
  "_LEGACY_ERROR_TEMP_3036" : {
    "message" : [
      "Failure while trying to store block  on ."
    ]
  },
  "_LEGACY_ERROR_TEMP_3037" : {
    "message" : [
      "Block  was not found even though it's read-locked"
    ]
  },
  "_LEGACY_ERROR_TEMP_3038" : {
    "message" : [
      "get() failed for block  even though we held a lock"
    ]
  },
  "_LEGACY_ERROR_TEMP_3039" : {
    "message" : [
      "BlockManager returned null for BlockStatus query: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3040" : {
    "message" : [
      "BlockManagerMasterEndpoint returned false, expected true."
    ]
  },
  "_LEGACY_ERROR_TEMP_3041" : {
    "message" : [
      ""
    ]
  },
  "_LEGACY_ERROR_TEMP_3042" : {
    "message" : [
      "Failed to get block , which is not a shuffle block"
    ]
  },
  "_LEGACY_ERROR_TEMP_3050" : {
    "message" : [
      "Cannot modify the value of a static config: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3052" : {
    "message" : [
      "Unexpected resolved action: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3053" : {
    "message" : [
      "Unexpected WHEN NOT MATCHED action: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3054" : {
    "message" : [
      " is not currently supported"
    ]
  },
  "_LEGACY_ERROR_TEMP_3055" : {
    "message" : [
      "ScalarFunction  neither implement magic method nor override 'produceResult'"
    ]
  },
  "_LEGACY_ERROR_TEMP_3056" : {
    "message" : [
      "Unexpected row-level read relations (allow multiple = ): "
    ]
  },
  "_LEGACY_ERROR_TEMP_3057" : {
    "message" : [
      "Cannot retrieve row-level operation from "
    ]
  },
  "_LEGACY_ERROR_TEMP_3058" : {
    "message" : [
      "Found duplicate column(s) : "
    ]
  },
  "_LEGACY_ERROR_TEMP_3059" : {
    "message" : [
      "The positions provided () cannot be resolved in",
      ""
    ]
  },
  "_LEGACY_ERROR_TEMP_3060" : {
    "message" : [
      "Couldn't find column  in:",
      ""
    ]
  },
  "_LEGACY_ERROR_TEMP_3061" : {
    "message" : [
      "",
      ""
    ]
  },
  "_LEGACY_ERROR_TEMP_3062" : {
    "message" : [
      "Expected  to be a nested data type, but found . Was looking for the index of  in a nested field"
    ]
  },
  "_LEGACY_ERROR_TEMP_3063" : {
    "message" : [
      "pivot is not supported on a streaming DataFrames/Datasets"
    ]
  },
  "_LEGACY_ERROR_TEMP_3065" : {
    "message" : [
      ": "
    ]
  },
  "_LEGACY_ERROR_TEMP_3067" : {
    "message" : [
      "Streaming aggregation doesn't support group aggregate pandas UDF"
    ]
  },
  "_LEGACY_ERROR_TEMP_3068" : {
    "message" : [
      "Global aggregation with session window in streaming query is not supported."
    ]
  },
  "_LEGACY_ERROR_TEMP_3069" : {
    "message" : [
      " is a reserved column name that cannot be read in combination with  column."
    ]
  },
  "_LEGACY_ERROR_TEMP_3070" : {
    "message" : [
      " is a reserved column name that cannot be read in combination with  column."
    ]
  },
  "_LEGACY_ERROR_TEMP_3071" : {
    "message" : [
      ""
    ]
  },
  "_LEGACY_ERROR_TEMP_3072" : {
    "message" : [
      ""
    ]
  },
  "_LEGACY_ERROR_TEMP_3073" : {
    "message" : [
      "Unexpected instruction: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3074" : {
    "message" : [
      "field  not found from given schema "
    ]
  },
  "_LEGACY_ERROR_TEMP_3075" : {
    "message" : [
      "Couldn't find scan attribute for  in "
    ]
  },
  "_LEGACY_ERROR_TEMP_3076" : {
    "message" : [
      "Redefining watermark is disallowed. You can set the config '' to 'false' to restore the previous behavior. Note that multiple stateful operators will be disallowed."
    ]
  },
  "_LEGACY_ERROR_TEMP_3077" : {
    "message" : [
      "More than one event time columns are available. Please ensure there is at most one event time column per stream. event time columns: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3079" : {
    "message" : [
      "Dynamic partition cannot be the parent of a static partition."
    ]
  },
  "_LEGACY_ERROR_TEMP_3080" : {
    "message" : [
      ""
    ]
  },
  "_LEGACY_ERROR_TEMP_3081" : {
    "message" : [
      "Save mode  not allowed for Kafka. Allowed save modes are  and  (default)."
    ]
  },
  "_LEGACY_ERROR_TEMP_3082" : {
    "message" : [
      "Creating bucketed Hive serde table is not supported yet."
    ]
  },
  "_LEGACY_ERROR_TEMP_3083" : {
    "message" : [
      "Unable to infer the schema. The schema specification is required to create the table ."
    ]
  },
  "_LEGACY_ERROR_TEMP_3084" : {
    "message" : [
      "No handler for UDF/UDAF/UDTF '': "
    ]
  },
  "_LEGACY_ERROR_TEMP_3085" : {
    "message" : [
      "from_avro() doesn't support the  mode. Acceptable modes are  and ."
    ]
  },
  "_LEGACY_ERROR_TEMP_3086" : {
    "message" : [
      "Cannot persist  into Hive metastore as table property keys may not start with 'spark.sql.': "
    ]
  },
  "_LEGACY_ERROR_TEMP_3087" : {
    "message" : [
      "Cannot set or change the preserved property key: 'EXTERNAL'"
    ]
  },
  "_LEGACY_ERROR_TEMP_3088" : {
    "message" : [
      "The metadata is corrupted. Unable to find the partition column names from the schema. schema: . Partition columns: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3089" : {
    "message" : [
      "Corrupted  in catalog:  parts expected, but part  is missing."
    ]
  },
  "_LEGACY_ERROR_TEMP_3090" : {
    "message" : [
      "Raw list type in java is unsupported because Spark cannot infer the element type."
    ]
  },
  "_LEGACY_ERROR_TEMP_3091" : {
    "message" : [
      "Raw map type in java is unsupported because Spark cannot infer key and value types."
    ]
  },
  "_LEGACY_ERROR_TEMP_3092" : {
    "message" : [
      "Collection types with wildcards (e.g. List or Map) are unsupported because Spark cannot infer the data type for these type parameters."
    ]
  },
  "_LEGACY_ERROR_TEMP_3093" : {
    "message" : [
      "Unsupported java type "
    ]
  },
  "_LEGACY_ERROR_TEMP_3094" : {
    "message" : [
      "
 is not supported."
    ]
  },
  "_LEGACY_ERROR_TEMP_3095" : {
    "message" : [
      "
 cannot be converted to Hive TypeInfo"
    ]
  },
  "_LEGACY_ERROR_TEMP_3096" : {
    "message" : [
      "Converted table has  columns,",
      "but source Hive table has  columns.",
      "Set  to false,",
      "or recreate table  to workaround."
    ]
  },
  "_LEGACY_ERROR_TEMP_3097" : {
    "message" : [
      "Column in converted table has different data type with source Hive table's.",
      "Set  to false,",
      "or recreate table  to workaround."
    ]
  },
  "_LEGACY_ERROR_TEMP_3100" : {
    "message" : [
      ""
    ]
  },
  "_LEGACY_ERROR_TEMP_3101" : {
    "message" : [
      "The input is not a correct window column: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3102" : {
    "message" : [
      ""
    ]
  },
  "_LEGACY_ERROR_TEMP_3103" : {
    "message" : [
      "Namespace '' is non empty. 
"
    ]
  },
  "_LEGACY_ERROR_TEMP_3104" : {
    "message" : [
      ""
    ]
  },
  "_LEGACY_ERROR_TEMP_3105" : {
    "message" : [
      ""
    ]
  },
  "_LEGACY_ERROR_TEMP_3106" : {
    "message" : [
      ""
    ]
  },
  "_LEGACY_ERROR_TEMP_3107" : {
    "message" : [
      ""
    ]
  },
  "_LEGACY_ERROR_TEMP_3108" : {
    "message" : [
      ""
    ]
  },
  "_LEGACY_ERROR_TEMP_3109" : {
    "message" : [
      ""
    ]
  },
  "_LEGACY_ERROR_TEMP_3110" : {
    "message" : [
      "Cannot bind a V1 function."
    ]
  },
  "_LEGACY_ERROR_TEMP_3113" : {
    "message" : [
      "UnresolvedTableSpec doesn't have a data type"
    ]
  },
  "_LEGACY_ERROR_TEMP_3114" : {
    "message" : [
      "UnresolvedTableSpec doesn't have a data type"
    ]
  },
  "_LEGACY_ERROR_TEMP_3121" : {
    "message" : [
      "A HllSketch instance cannot be updates with a Spark  type"
    ]
  },
  "_LEGACY_ERROR_TEMP_3129" : {
    "message" : [
      "Cannot convert this array to unsafe format as it's too big."
    ]
  },
  "_LEGACY_ERROR_TEMP_3130" : {
    "message" : [
      "Cannot create BufferHolder for input UnsafeRow because there are too many fields (number of fields: )"
    ]
  },
  "_LEGACY_ERROR_TEMP_3131" : {
    "message" : [
      "Unsupported data type "
    ]
  },
  "_LEGACY_ERROR_TEMP_3132" : {
    "message" : [
      "CaseInsensitiveStringMap is read-only."
    ]
  },
  "_LEGACY_ERROR_TEMP_3133" : {
    "message" : [
      " does not implement rowIdSchema"
    ]
  },
  "_LEGACY_ERROR_TEMP_3134" : {
    "message" : [
      " does not implement metadataSchema"
    ]
  },
  "_LEGACY_ERROR_TEMP_3135" : {
    "message" : [
      " does not support batch write"
    ]
  },
  "_LEGACY_ERROR_TEMP_3136" : {
    "message" : [
      " does not support streaming write"
    ]
  },
  "_LEGACY_ERROR_TEMP_3137" : {
    "message" : [
      ": Batch write is not supported"
    ]
  },
  "_LEGACY_ERROR_TEMP_3138" : {
    "message" : [
      ": Streaming write is not supported"
    ]
  },
  "_LEGACY_ERROR_TEMP_3139" : {
    "message" : [
      ": Delta batch write is not supported"
    ]
  },
  "_LEGACY_ERROR_TEMP_3140" : {
    "message" : [
      " does not implement build"
    ]
  },
  "_LEGACY_ERROR_TEMP_3141" : {
    "message" : [
      " does not support user defined function: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3142" : {
    "message" : [
      " does not support user defined aggregate function: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3143" : {
    "message" : [
      "Partition renaming is not supported"
    ]
  },
  "_LEGACY_ERROR_TEMP_3144" : {
    "message" : [
      "Partition truncate is not supported"
    ]
  },
  "_LEGACY_ERROR_TEMP_3145" : {
    "message" : [
      "Partitions truncate is not supported"
    ]
  },
  "_LEGACY_ERROR_TEMP_3146" : {
    "message" : [
      "Cannot find a compatible ScalarFunction#produceResult"
    ]
  },
  "_LEGACY_ERROR_TEMP_3147" : {
    "message" : [
      ": Batch scan are not supported"
    ]
  },
  "_LEGACY_ERROR_TEMP_3148" : {
    "message" : [
      ": Micro-batch scan are not supported"
    ]
  },
  "_LEGACY_ERROR_TEMP_3149" : {
    "message" : [
      ": Continuous scan are not supported"
    ]
  },
  "_LEGACY_ERROR_TEMP_3150" : {
    "message" : [
      "Cannot create columnar reader."
    ]
  },
  "_LEGACY_ERROR_TEMP_3152" : {
    "message" : [
      "Datatype not supported "
    ]
  },
  "_LEGACY_ERROR_TEMP_3155" : {
    "message" : [
      "Datatype not supported "
    ]
  },
  "_LEGACY_ERROR_TEMP_3160" : {
    "message" : [
      ""
    ]
  },
  "_LEGACY_ERROR_TEMP_3161" : {
    "message" : [
      "Uploading artifact file to local file system destination path is not supported."
    ]
  },
  "_LEGACY_ERROR_TEMP_3162" : {
    "message" : [
      "Unsupported physical type ."
    ]
  },
  "_LEGACY_ERROR_TEMP_3163" : {
    "message" : [
      "Unsupported number of children: ."
    ]
  },
  "_LEGACY_ERROR_TEMP_3165" : {
    "message" : [
      "Cannot merge  with "
    ]
  },
  "_LEGACY_ERROR_TEMP_3166" : {
    "message" : [
      "latestOffset(Offset, ReadLimit) should be called instead of this method"
    ]
  },
  "_LEGACY_ERROR_TEMP_3167" : {
    "message" : [
      "continuous mode is not supported!"
    ]
  },
  "_LEGACY_ERROR_TEMP_3168" : {
    "message" : [
      "hasTimedOut is true however there's no timeout configured"
    ]
  },
  "_LEGACY_ERROR_TEMP_3169" : {
    "message" : [
      "AcceptsLatestSeenOffset is not supported with DSv1 streaming source: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3170" : {
    "message" : [
      "SortAggregate code-gen does not support grouping keys"
    ]
  },
  "_LEGACY_ERROR_TEMP_3171" : {
    "message" : [
      "Number of nulls not set for Parquet file . Set SQLConf  to false and execute again."
    ]
  },
  "_LEGACY_ERROR_TEMP_3172" : {
    "message" : [
      "No min/max found for Parquet file . Set SQLConf  to false and execute again."
    ]
  },
  "_LEGACY_ERROR_TEMP_3173" : {
    "message" : [
      "Cannot specify 'USING index_type' in 'CREATE INDEX'"
    ]
  },
  "_LEGACY_ERROR_TEMP_3175" : {
    "message" : [
      "Index Type  is not supported. The supported Index Types are: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3176" : {
    "message" : [
      "applyInPandasWithState is unsupported in batch query. Use applyInPandas instead."
    ]
  },
  "_LEGACY_ERROR_TEMP_3177" : {
    "message" : [
      " does not support function: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3178" : {
    "message" : [
      " does not support inverse distribution function: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3179" : {
    "message" : [
      "createIndex is not supported"
    ]
  },
  "_LEGACY_ERROR_TEMP_3180" : {
    "message" : [
      "indexExists is not supported"
    ]
  },
  "_LEGACY_ERROR_TEMP_3181" : {
    "message" : [
      "dropIndex is not supported"
    ]
  },
  "_LEGACY_ERROR_TEMP_3182" : {
    "message" : [
      "listIndexes is not supported"
    ]
  },
  "_LEGACY_ERROR_TEMP_3183" : {
    "message" : [
      "TableSample is not supported by this data source"
    ]
  },
  "_LEGACY_ERROR_TEMP_3184" : {
    "message" : [
      " does not support aggregate function:  with DISTINCT"
    ]
  },
  "_LEGACY_ERROR_TEMP_3185" : {
    "message" : [
      "Schema evolution not supported."
    ]
  },
  "_LEGACY_ERROR_TEMP_3186" : {
    "message" : [
      "Boolean is not supported"
    ]
  },
  "_LEGACY_ERROR_TEMP_3187" : {
    "message" : [
      "only readInts is valid."
    ]
  },
  "_LEGACY_ERROR_TEMP_3188" : {
    "message" : [
      "only skipIntegers is valid"
    ]
  },
  "_LEGACY_ERROR_TEMP_3189" : {
    "message" : [
      "Unsupported encoding: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3190" : {
    "message" : [
      "RLE encoding is not supported for values of type: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3191" : {
    "message" : [
      "Dictionary encoding does not support String"
    ]
  },
  "_LEGACY_ERROR_TEMP_3192" : {
    "message" : [
      "Datatype not supported 
"
    ]
  },
  "_LEGACY_ERROR_TEMP_3198" : {
    "message" : [
      "Cannot grow BufferHolder by size  because the size is negative"
    ]
  },
  "_LEGACY_ERROR_TEMP_3199" : {
    "message" : [
      "Cannot grow BufferHolder by size  because the size after growing exceeds size limitation "
    ]
  },
  "_LEGACY_ERROR_TEMP_3200" : {
    "message" : [
      "Read-ahead limit < 0"
    ]
  },
  "_LEGACY_ERROR_TEMP_3201" : {
    "message" : [
      "'note' is malformed in the expression []. It should start with a newline and 4 leading spaces; end with a newline and two spaces; however, got []."
    ]
  },
  "_LEGACY_ERROR_TEMP_3202" : {
    "message" : [
      "'group' is malformed in the expression []. It should be a value in ; however, got ."
    ]
  },
  "_LEGACY_ERROR_TEMP_3203" : {
    "message" : [
      "'source' is malformed in the expression []. It should be a value in ; however, got []."
    ]
  },
  "_LEGACY_ERROR_TEMP_3204" : {
    "message" : [
      "'since' is malformed in the expression []. It should not start with a negative number; however, got []."
    ]
  },
  "_LEGACY_ERROR_TEMP_3205" : {
    "message" : [
      "'deprecated' is malformed in the expression []. It should start with a newline and 4 leading spaces; end with a newline and two spaces; however, got []."
    ]
  },
  "_LEGACY_ERROR_TEMP_3206" : {
    "message" : [
      " is not a boolean string."
    ]
  },
  "_LEGACY_ERROR_TEMP_3207" : {
    "message" : [
      "Unexpected V2 expression: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3208" : {
    "message" : [
      "The number of fields () in the partition identifier is not equal to the partition schema length (). The identifier might not refer to one partition."
    ]
  },
  "_LEGACY_ERROR_TEMP_3215" : {
    "message" : [
      "Expected a Boolean type expression in replaceNullWithFalse, but got the type  in ."
    ]
  },
  "_LEGACY_ERROR_TEMP_3218" : {
    "message" : [
      "Must be 2 children: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3219" : {
    "message" : [
      "The value () of the type () cannot be converted to the  type."
    ]
  },
  "_LEGACY_ERROR_TEMP_3220" : {
    "message" : [
      "The value () of the type () cannot be converted to an array of "
    ]
  },
  "_LEGACY_ERROR_TEMP_3221" : {
    "message" : [
      "The value () of the type () cannot be converted to a map type with key type () and value type ()"
    ]
  },
  "_LEGACY_ERROR_TEMP_3222" : {
    "message" : [
      "Only literals are allowed in the partition spec, but got "
    ]
  },
  "_LEGACY_ERROR_TEMP_3223" : {
    "message" : [
      "Cannot find field:  in "
    ]
  },
  "_LEGACY_ERROR_TEMP_3224" : {
    "message" : [
      "Cannot delete array element"
    ]
  },
  "_LEGACY_ERROR_TEMP_3225" : {
    "message" : [
      "Cannot delete map value"
    ]
  },
  "_LEGACY_ERROR_TEMP_3226" : {
    "message" : [
      "Cannot delete map key"
    ]
  },
  "_LEGACY_ERROR_TEMP_3227" : {
    "message" : [
      "Cannot find field: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3228" : {
    "message" : [
      "AFTER column not found: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3229" : {
    "message" : [
      "Not a struct: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3230" : {
    "message" : [
      "Field not found: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3231" : {
    "message" : [
      "Intervals greater than a month is not supported ()."
    ]
  },
  "_LEGACY_ERROR_TEMP_3232" : {
    "message" : [
      "Unknown EvalMode value: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3233" : {
    "message" : [
      "cannot generate code for unsupported type: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3235" : {
    "message" : [
      "The numbers of zipped arrays and field names should be the same"
    ]
  },
  "_LEGACY_ERROR_TEMP_3238" : {
    "message" : [
      "Failed to convert value  (class of ) in type 
 to XML."
    ]
  },
  "_LEGACY_ERROR_TEMP_3239" : {
    "message" : [
      "Failed to parse data with unexpected event "
    ]
  },
  "_LEGACY_ERROR_TEMP_3240" : {
    "message" : [
      "Failed to parse a value for data type 
 with event "
    ]
  },
  "_LEGACY_ERROR_TEMP_3241" : {
    "message" : [
      ""
    ]
  },
  "_LEGACY_ERROR_TEMP_3242" : {
    "message" : [
      "sequence step must be an  of day granularity if start and end values are dates"
    ]
  },
  "_LEGACY_ERROR_TEMP_3243" : {
    "message" : [
      "Illegal sequence boundaries:  to  by "
    ]
  },
  "_LEGACY_ERROR_TEMP_3244" : {
    "message" : [
      "Unsupported type: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3245" : {
    "message" : [
      "For input string: "
    ]
  },
  "_LEGACY_ERROR_TEMP_3246" : {
    "message" : [
      "Failed to parse a value for data type ."
    ]
  },
  "_LEGACY_ERROR_TEMP_3260" : {
    "message" : [
      "'' is an invalid timestamp"
    ]
  },
  "_LEGACY_ERROR_TEMP_3262" : {
    "message" : [
      "Doesn't support month or year interval: "
    ]
  },
  "_LEGACY_ERROR_USER_RAISED_EXCEPTION" : {
    "message" : [
      ""
    ],
    "sqlState" : "P0001"
  }
}
    

    







    
© 2015 - 2025 Weber Informatics LLC | Privacy Policy