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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark.sql.internal
import org.apache.spark.util.Utils
/**
* Static SQL configuration is a cross-session, immutable Spark configuration. External users can
* see the static sql configs via `SparkSession.conf`, but can NOT set/unset them.
*/
object StaticSQLConf {
import SQLConf.buildStaticConf
val WAREHOUSE_PATH = buildStaticConf("spark.sql.warehouse.dir")
.doc("The default location for managed databases and tables.")
.stringConf
.createWithDefault(Utils.resolveURI("spark-warehouse").toString)
val CATALOG_IMPLEMENTATION = buildStaticConf("spark.sql.catalogImplementation")
.internal()
.stringConf
.checkValues(Set("hive", "in-memory"))
.createWithDefault("in-memory")
val GLOBAL_TEMP_DATABASE = buildStaticConf("spark.sql.globalTempDatabase")
.internal()
.stringConf
.createWithDefault("global_temp")
// This is used to control when we will split a schema's JSON string to multiple pieces
// in order to fit the JSON string in metastore's table property (by default, the value has
// a length restriction of 4000 characters, so do not use a value larger than 4000 as the default
// value of this property). We will split the JSON string of a schema to its length exceeds the
// threshold. Note that, this conf is only read in HiveExternalCatalog which is cross-session,
// that's why this conf has to be a static SQL conf.
val SCHEMA_STRING_LENGTH_THRESHOLD =
buildStaticConf("spark.sql.sources.schemaStringLengthThreshold")
.doc("The maximum length allowed in a single cell when " +
"storing additional schema information in Hive's metastore.")
.internal()
.intConf
.createWithDefault(4000)
val FILESOURCE_TABLE_RELATION_CACHE_SIZE =
buildStaticConf("spark.sql.filesourceTableRelationCacheSize")
.internal()
.doc("The maximum size of the cache that maps qualified table names to table relation plans.")
.intConf
.checkValue(cacheSize => cacheSize >= 0, "The maximum size of the cache must not be negative")
.createWithDefault(1000)
val CODEGEN_CACHE_MAX_ENTRIES = buildStaticConf("spark.sql.codegen.cache.maxEntries")
.internal()
.doc("When nonzero, enable caching of generated classes for operators and expressions. " +
"All jobs share the cache that can use up to the specified number for generated classes.")
.intConf
.checkValue(maxEntries => maxEntries >= 0, "The maximum must not be negative")
.createWithDefault(100)
val CODEGEN_COMMENTS = buildStaticConf("spark.sql.codegen.comments")
.internal()
.doc("When true, put comment in the generated code. Since computing huge comments " +
"can be extremely expensive in certain cases, such as deeply-nested expressions which " +
"operate over inputs with wide schemas, default is false.")
.booleanConf
.createWithDefault(false)
// When enabling the debug, Spark SQL internal table properties are not filtered out; however,
// some related DDL commands (e.g., ANALYZE TABLE and CREATE TABLE LIKE) might not work properly.
val DEBUG_MODE = buildStaticConf("spark.sql.debug")
.internal()
.doc("Only used for internal debugging. Not all functions are supported when it is enabled.")
.booleanConf
.createWithDefault(false)
val HIVE_THRIFT_SERVER_SINGLESESSION =
buildStaticConf("spark.sql.hive.thriftServer.singleSession")
.doc("When set to true, Hive Thrift server is running in a single session mode. " +
"All the JDBC/ODBC connections share the temporary views, function registries, " +
"SQL configuration and the current database.")
.booleanConf
.createWithDefault(false)
val SPARK_SESSION_EXTENSIONS = buildStaticConf("spark.sql.extensions")
.doc("Name of the class used to configure Spark Session extensions. The class should " +
"implement Function1[SparkSessionExtension, Unit], and must have a no-args constructor.")
.stringConf
.createOptional
val QUERY_EXECUTION_LISTENERS = buildStaticConf("spark.sql.queryExecutionListeners")
.doc("List of class names implementing QueryExecutionListener that will be automatically " +
"added to newly created sessions. The classes should have either a no-arg constructor, " +
"or a constructor that expects a SparkConf argument.")
.stringConf
.toSequence
.createOptional
val STREAMING_QUERY_LISTENERS = buildStaticConf("spark.sql.streaming.streamingQueryListeners")
.doc("List of class names implementing StreamingQueryListener that will be automatically " +
"added to newly created sessions. The classes should have either a no-arg constructor, " +
"or a constructor that expects a SparkConf argument.")
.stringConf
.toSequence
.createOptional
val UI_RETAINED_EXECUTIONS =
buildStaticConf("spark.sql.ui.retainedExecutions")
.doc("Number of executions to retain in the Spark UI.")
.intConf
.createWithDefault(1000)
val SUBQUERY_MAX_THREAD_THRESHOLD =
buildStaticConf("spark.sql.subquery.maxThreadThreshold")
.internal()
.doc("The maximum degree of parallelism to execute the subquery.")
.intConf
.checkValue(thres => thres > 0 && thres <= 128, "The threshold must be in (0,128].")
.createWithDefault(16)
val DEFAULT_URL_STREAM_HANDLER_FACTORY_ENABLED =
buildStaticConf("spark.sql.defaultUrlStreamHandlerFactory.enabled")
.doc("When true, set FsUrlStreamHandlerFactory to support ADD JAR against HDFS locations")
.internal()
.booleanConf
.createWithDefault(true)
}