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.
/*
* 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.hive.service.cli.operation;
import java.sql.DatabaseMetaData;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.Set;
import java.util.regex.Pattern;
import org.apache.hadoop.hive.conf.HiveConf.ConfVars;
import org.apache.hadoop.hive.metastore.IMetaStoreClient;
import org.apache.hadoop.hive.metastore.api.PrimaryKeysRequest;
import org.apache.hadoop.hive.metastore.api.SQLPrimaryKey;
import org.apache.hadoop.hive.metastore.api.Table;
import org.apache.hadoop.hive.ql.metadata.TableIterable;
import org.apache.hadoop.hive.ql.security.authorization.plugin.HiveOperationType;
import org.apache.hadoop.hive.ql.security.authorization.plugin.HivePrivilegeObject;
import org.apache.hadoop.hive.ql.security.authorization.plugin.HivePrivilegeObject.HivePrivilegeObjectType;
import org.apache.hadoop.hive.ql.session.SessionState;
import org.apache.hadoop.hive.serde2.thrift.Type;
import org.apache.hive.service.cli.ColumnDescriptor;
import org.apache.hive.service.cli.FetchOrientation;
import org.apache.hive.service.cli.HiveSQLException;
import org.apache.hive.service.cli.OperationState;
import org.apache.hive.service.cli.OperationType;
import org.apache.hive.service.cli.RowSet;
import org.apache.hive.service.cli.RowSetFactory;
import org.apache.hive.service.cli.TableSchema;
import org.apache.hive.service.cli.session.HiveSession;
/**
* GetColumnsOperation.
*
*/
public class GetColumnsOperation extends MetadataOperation {
private static final TableSchema RESULT_SET_SCHEMA = new TableSchema()
.addPrimitiveColumn("TABLE_CAT", Type.STRING_TYPE,
"Catalog name. NULL if not applicable")
.addPrimitiveColumn("TABLE_SCHEM", Type.STRING_TYPE,
"Schema name")
.addPrimitiveColumn("TABLE_NAME", Type.STRING_TYPE,
"Table name")
.addPrimitiveColumn("COLUMN_NAME", Type.STRING_TYPE,
"Column name")
.addPrimitiveColumn("DATA_TYPE", Type.INT_TYPE,
"SQL type from java.sql.Types")
.addPrimitiveColumn("TYPE_NAME", Type.STRING_TYPE,
"Data source dependent type name, for a UDT the type name is fully qualified")
.addPrimitiveColumn("COLUMN_SIZE", Type.INT_TYPE,
"Column size. For char or date types this is the maximum number of characters,"
+ " for numeric or decimal types this is precision.")
.addPrimitiveColumn("BUFFER_LENGTH", Type.TINYINT_TYPE,
"Unused")
.addPrimitiveColumn("DECIMAL_DIGITS", Type.INT_TYPE,
"The number of fractional digits")
.addPrimitiveColumn("NUM_PREC_RADIX", Type.INT_TYPE,
"Radix (typically either 10 or 2)")
.addPrimitiveColumn("NULLABLE", Type.INT_TYPE,
"Is NULL allowed")
.addPrimitiveColumn("REMARKS", Type.STRING_TYPE,
"Comment describing column (may be null)")
.addPrimitiveColumn("COLUMN_DEF", Type.STRING_TYPE,
"Default value (may be null)")
.addPrimitiveColumn("SQL_DATA_TYPE", Type.INT_TYPE,
"Unused")
.addPrimitiveColumn("SQL_DATETIME_SUB", Type.INT_TYPE,
"Unused")
.addPrimitiveColumn("CHAR_OCTET_LENGTH", Type.INT_TYPE,
"For char types the maximum number of bytes in the column")
.addPrimitiveColumn("ORDINAL_POSITION", Type.INT_TYPE,
"Index of column in table (starting at 1)")
.addPrimitiveColumn("IS_NULLABLE", Type.STRING_TYPE,
"\"NO\" means column definitely does not allow NULL values; "
+ "\"YES\" means the column might allow NULL values. An empty "
+ "string means nobody knows.")
.addPrimitiveColumn("SCOPE_CATALOG", Type.STRING_TYPE,
"Catalog of table that is the scope of a reference attribute "
+ "(null if DATA_TYPE isn't REF)")
.addPrimitiveColumn("SCOPE_SCHEMA", Type.STRING_TYPE,
"Schema of table that is the scope of a reference attribute "
+ "(null if the DATA_TYPE isn't REF)")
.addPrimitiveColumn("SCOPE_TABLE", Type.STRING_TYPE,
"Table name that this the scope of a reference attribute "
+ "(null if the DATA_TYPE isn't REF)")
.addPrimitiveColumn("SOURCE_DATA_TYPE", Type.SMALLINT_TYPE,
"Source type of a distinct type or user-generated Ref type, "
+ "SQL type from java.sql.Types (null if DATA_TYPE isn't DISTINCT or user-generated REF)")
.addPrimitiveColumn("IS_AUTO_INCREMENT", Type.STRING_TYPE,
"Indicates whether this column is auto incremented.");
private final String catalogName;
private final String schemaName;
private final String tableName;
private final String columnName;
private final RowSet rowSet;
protected GetColumnsOperation(HiveSession parentSession, String catalogName, String schemaName,
String tableName, String columnName) {
super(parentSession, OperationType.GET_COLUMNS);
this.catalogName = catalogName;
this.schemaName = schemaName;
this.tableName = tableName;
this.columnName = columnName;
this.rowSet = RowSetFactory.create(RESULT_SET_SCHEMA, getProtocolVersion(), false);
}
@Override
public void runInternal() throws HiveSQLException {
setState(OperationState.RUNNING);
try {
IMetaStoreClient metastoreClient = getParentSession().getMetaStoreClient();
String schemaPattern = convertSchemaPattern(schemaName);
String tablePattern = convertIdentifierPattern(tableName, true);
Pattern columnPattern = null;
if (columnName != null) {
columnPattern = Pattern.compile(convertIdentifierPattern(columnName, false));
}
List dbNames = metastoreClient.getDatabases(schemaPattern);
Collections.sort(dbNames);
Map> db2Tabs = new HashMap<>();
for (String dbName : dbNames) {
List tableNames = metastoreClient.getTables(dbName, tablePattern);
Collections.sort(tableNames);
db2Tabs.put(dbName, tableNames);
}
if (isAuthV2Enabled()) {
List privObjs = getPrivObjs(db2Tabs);
String cmdStr = "catalog : " + catalogName + ", schemaPattern : " + schemaName
+ ", tablePattern : " + tableName;
authorizeMetaGets(HiveOperationType.GET_COLUMNS, privObjs, cmdStr);
}
int maxBatchSize = SessionState.get().getConf().getIntVar(ConfVars.METASTORE_BATCH_RETRIEVE_MAX);
for (Entry> dbTabs : db2Tabs.entrySet()) {
String dbName = dbTabs.getKey();
List tableNames = dbTabs.getValue();
for (Table table : new TableIterable(metastoreClient, dbName, tableNames, maxBatchSize)) {
TableSchema schema = new TableSchema(metastoreClient.getSchema(dbName,
table.getTableName()));
List primaryKeys = metastoreClient.getPrimaryKeys(new PrimaryKeysRequest(dbName, table.getTableName()));
Set pkColNames = new HashSet<>();
for(SQLPrimaryKey key : primaryKeys) {
pkColNames.add(key.getColumn_name().toLowerCase());
}
for (ColumnDescriptor column : schema.getColumnDescriptors()) {
if (columnPattern != null && !columnPattern.matcher(column.getName()).matches()) {
continue;
}
Object[] rowData = new Object[] {
null, // TABLE_CAT
table.getDbName(), // TABLE_SCHEM
table.getTableName(), // TABLE_NAME
column.getName(), // COLUMN_NAME
column.getType().toJavaSQLType(), // DATA_TYPE
column.getTypeName(), // TYPE_NAME
column.getTypeDescriptor().getColumnSize(), // COLUMN_SIZE
null, // BUFFER_LENGTH, unused
column.getTypeDescriptor().getDecimalDigits(), // DECIMAL_DIGITS
column.getType().getNumPrecRadix(), // NUM_PREC_RADIX
pkColNames.contains(column.getName().toLowerCase()) ? DatabaseMetaData.columnNoNulls
: DatabaseMetaData.columnNullable, // NULLABLE
column.getComment(), // REMARKS
null, // COLUMN_DEF
null, // SQL_DATA_TYPE
null, // SQL_DATETIME_SUB
null, // CHAR_OCTET_LENGTH
column.getOrdinalPosition(), // ORDINAL_POSITION
pkColNames.contains(column.getName().toLowerCase()) ? "NO" : "YES", // IS_NULLABLE
null, // SCOPE_CATALOG
null, // SCOPE_SCHEMA
null, // SCOPE_TABLE
null, // SOURCE_DATA_TYPE
"NO", // IS_AUTO_INCREMENT
};
rowSet.addRow(rowData);
}
}
}
setState(OperationState.FINISHED);
} catch (Exception e) {
setState(OperationState.ERROR);
throw new HiveSQLException(e);
}
}
private List getPrivObjs(Map> db2Tabs) {
List privObjs = new ArrayList<>();
for (Entry> dbTabs : db2Tabs.entrySet()) {
for (String tabName : dbTabs.getValue()) {
privObjs.add(new HivePrivilegeObject(HivePrivilegeObjectType.TABLE_OR_VIEW, dbTabs.getKey(),
tabName));
}
}
return privObjs;
}
/* (non-Javadoc)
* @see org.apache.hive.service.cli.Operation#getResultSetSchema()
*/
@Override
public TableSchema getResultSetSchema() throws HiveSQLException {
assertState(new ArrayList(Arrays.asList(OperationState.FINISHED)));
return RESULT_SET_SCHEMA;
}
/* (non-Javadoc)
* @see org.apache.hive.service.cli.Operation#getNextRowSet(org.apache.hive.service.cli.FetchOrientation, long)
*/
@Override
public RowSet getNextRowSet(FetchOrientation orientation, long maxRows) throws HiveSQLException {
assertState(new ArrayList(Arrays.asList(OperationState.FINISHED)));
validateDefaultFetchOrientation(orientation);
if (orientation.equals(FetchOrientation.FETCH_FIRST)) {
rowSet.setStartOffset(0);
}
return rowSet.extractSubset((int)maxRows);
}
}
