mirror of https://github.com/apache/openjpa.git
OPENJPA-464 committing patch provided by Teresa Kan
git-svn-id: https://svn.apache.org/repos/asf/openjpa/trunk@614731 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
parent
72aefb149b
commit
8d18daabd7
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@ -24,6 +24,7 @@ import javax.sql.DataSource;
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import org.apache.commons.lang.StringUtils;
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import org.apache.openjpa.conf.OpenJPAConfigurationImpl;
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import org.apache.openjpa.jdbc.kernel.BatchingConstraintUpdateManager;
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import org.apache.openjpa.jdbc.kernel.EagerFetchModes;
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import org.apache.openjpa.jdbc.kernel.JDBCBrokerFactory;
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import org.apache.openjpa.jdbc.kernel.LRSSizes;
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@ -214,11 +215,13 @@ public class JDBCConfigurationImpl
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updateManagerPlugin = addPlugin("jdbc.UpdateManager", true);
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aliases = new String[]{
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"default",
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"org.apache.openjpa.jdbc.kernel.ConstraintUpdateManager",
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BatchingConstraintUpdateManager.class.getName(),
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"operation-order",
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"org.apache.openjpa.jdbc.kernel.OperationOrderUpdateManager",
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"constraint",
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"org.apache.openjpa.jdbc.kernel.ConstraintUpdateManager",
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"batching-constraint",
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BatchingConstraintUpdateManager.class.getName(),
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};
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updateManagerPlugin.setAliases(aliases);
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updateManagerPlugin.setDefault(aliases[0]);
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@ -0,0 +1,58 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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package org.apache.openjpa.jdbc.kernel;
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import java.sql.Connection;
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import java.sql.SQLException;
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import java.util.ArrayList;
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import java.util.Collection;
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import java.util.Iterator;
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import org.apache.openjpa.jdbc.schema.ForeignKey;
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import org.apache.openjpa.jdbc.sql.PrimaryRow;
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import org.apache.openjpa.jdbc.sql.Row;
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import org.apache.openjpa.jdbc.sql.RowImpl;
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import org.apache.openjpa.jdbc.sql.RowManager;
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import org.apache.openjpa.jdbc.sql.RowManagerImpl;
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import org.apache.openjpa.jdbc.sql.SQLExceptions;
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import org.apache.openjpa.kernel.OpenJPAStateManager;
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/**
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* <P>Batch update manager that writes the SQL in object-level operation order.
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* This update manager initiates a BatchPreparedStatementManagerImpl which
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* will utilize the JDBC addBatch() and executeBatch() APIs to batch the
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* statements for performance improvement.</P>
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* <P>This is the default plug-in class for UpdateManager to support statement
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* batching. You can plug-in your own statement batch implementation through
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* the following property:
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* <PRE>
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* < property name="openjpa.jdbc.UpdateManager"
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* value="org.apache.openjpa.jdbc.kernel.YourOperationOrderUpdateManager" />
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* </PRE></P>
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* @author Teresa Kan
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*/
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public class BatchingConstraintUpdateManager extends ConstraintUpdateManager {
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protected PreparedStatementManager newPreparedStatementManager(
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JDBCStore store, Connection conn) {
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int batchLimit = dict.getBatchLimit();
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return new BatchingPreparedStatementManagerImpl(store, conn, batchLimit);
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}
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}
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@ -0,0 +1,302 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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package org.apache.openjpa.jdbc.kernel;
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import java.sql.BatchUpdateException;
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import java.sql.Connection;
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import java.sql.PreparedStatement;
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import java.sql.ResultSet;
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import java.sql.Statement;
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import java.sql.SQLException;
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import java.util.ArrayList;
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import java.util.Collection;
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import java.util.Collections;
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import java.util.Iterator;
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import java.util.LinkedHashMap;
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import java.util.LinkedList;
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import java.util.Map;
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import java.util.Set;
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import org.apache.openjpa.jdbc.conf.JDBCConfiguration;
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import org.apache.openjpa.jdbc.meta.ClassMapping;
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import org.apache.openjpa.jdbc.schema.Column;
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import org.apache.openjpa.jdbc.sql.Row;
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import org.apache.openjpa.jdbc.sql.RowImpl;
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import org.apache.openjpa.jdbc.sql.SQLExceptions;
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import org.apache.openjpa.kernel.OpenJPAStateManager;
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import org.apache.openjpa.lib.log.Log;
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import org.apache.openjpa.lib.util.Localizer;
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import org.apache.openjpa.util.ApplicationIds;
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import org.apache.openjpa.util.OptimisticException;
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/**
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* Batch prepared statement manager implementation. This prepared statement
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* manager will utilize the JDBC addBatch() and exceuteBatch() to batch the SQL
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* statements together to improve the execution performance.
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*
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* @author Teresa Kan
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*/
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public class BatchingPreparedStatementManagerImpl extends
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PreparedStatementManagerImpl {
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private final static Localizer _loc = Localizer
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.forPackage(BatchingPreparedStatementManagerImpl.class);
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private Map _cacheSql = null;
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private int _batchLimit;
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private boolean _disableBatch = false;
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private transient Log _log = null;
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/**
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* Constructor. Supply connection.
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*/
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public BatchingPreparedStatementManagerImpl(JDBCStore store,
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Connection conn, int batchLimit) {
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super(store, conn);
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_batchLimit = batchLimit;
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_log = store.getConfiguration().getLog(JDBCConfiguration.LOG_JDBC);
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if (_log.isTraceEnabled())
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_log.trace(_loc.get("batch_limit", String.valueOf(_batchLimit)));
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}
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/**
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* Flush the given row. This method will cache the statement in a cache. The
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* statement will be executed in the flush() method.
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*/
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protected void flushInternal(RowImpl row) throws SQLException {
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if (_batchLimit == 0 || _disableBatch) {
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super.flushInternal(row);
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return;
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}
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Column[] autoAssign = null;
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if (row.getAction() == Row.ACTION_INSERT)
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autoAssign = row.getTable().getAutoAssignedColumns();
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// prepare statement
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String sql = row.getSQL(_dict);
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OpenJPAStateManager sm = row.getPrimaryKey();
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ClassMapping cmd = null;
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if (sm != null)
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cmd = (ClassMapping) sm.getMetaData();
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// validate batch capability
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_disableBatch = _dict.validateBatchProcess(row, autoAssign, sm, cmd);
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// process the sql statement, either execute it immediately or
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// cache them.
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processSql(sql, row);
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// set auto assign values
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if (autoAssign != null && autoAssign.length > 0 && sm != null) {
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Object val;
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for (int i = 0; i < autoAssign.length; i++) {
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val = _dict.getGeneratedKey(autoAssign[i], _conn);
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cmd.assertJoinable(autoAssign[i]).setAutoAssignedValue(sm,
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_store, autoAssign[i], val);
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}
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sm.setObjectId(ApplicationIds.create(sm.getPersistenceCapable(),
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cmd));
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}
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}
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private void processSql(String sql, RowImpl row) throws SQLException {
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ArrayList temprow;
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if (_cacheSql == null)
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_cacheSql = Collections.synchronizedMap(new LinkedHashMap());
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if (_disableBatch) {
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// if there were some statements batched before, then
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// we need to flush them out first before processing the
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// current non batch process.
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if (!_cacheSql.isEmpty())
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flush();
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execute(sql, row);
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} else {
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// else start batch support. If the sql string is in the cache,
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// just adds the row to the cache
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if (_cacheSql.containsKey(sql)) {
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temprow = (ArrayList) _cacheSql.get(sql);
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temprow.add(row);
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_cacheSql.put(sql, temprow);
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} else {
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// no sql exists in the cache, cache the sql string and its rows
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ArrayList inputrow = new ArrayList();
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inputrow.add(row);
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_cacheSql.put(sql, inputrow);
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}
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} // end of batch support
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}
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private void execute(String sql, RowImpl row) throws SQLException {
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PreparedStatement stmnt = null;
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try {
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ResultSet rs = null;
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stmnt = _conn.prepareStatement(sql);
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row.flush(stmnt, _dict, _store);
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int count = stmnt.executeUpdate();
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if (count != 1) {
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Object failed = row.getFailedObject();
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if (failed != null)
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_exceptions.add(new OptimisticException(failed));
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else if (row.getAction() == Row.ACTION_INSERT)
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throw new SQLException(_loc.get(
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"update-failed-no-failed-obj",
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String.valueOf(count), sql).getMessage());
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}
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} catch (SQLException se) {
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throw SQLExceptions.getStore(se, row.getFailedObject(), _dict);
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} finally {
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try {
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if (stmnt != null)
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stmnt.close();
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} catch (SQLException se) {
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// ignore the exception for this case.
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}
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}
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}
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public void flush() {
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PreparedStatement ps = null;
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ArrayList list;
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RowImpl onerow = null;
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// go thru the cache to process all the sql stmt.
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if (_cacheSql == null || _cacheSql.isEmpty()) {
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super.flush();
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return;
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}
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Set e = _cacheSql.keySet();
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for (Iterator itr = e.iterator(); itr.hasNext();) {
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String key = (String) itr.next();
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try {
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ps = _conn.prepareStatement(key);
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} catch (SQLException se) {
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throw SQLExceptions.getStore(se, ps, _dict);
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}
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list = (ArrayList) _cacheSql.get(key);
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if (list == null) {
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return;
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}
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// if only 1 row for this statement, then execute it right away
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int rowsize = list.size();
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try {
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if (rowsize == 1) {
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onerow = (RowImpl) list.get(0);
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onerow.flush(ps, _dict, _store);
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int count = ps.executeUpdate();
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if (count != 1) {
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Object failed = onerow.getFailedObject();
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if (failed != null)
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_exceptions.add(new OptimisticException(failed));
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else if (onerow.getAction() == Row.ACTION_INSERT)
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throw new SQLException(_loc.get(
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"update-failed-no-failed-obj",
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String.valueOf(count), key).getMessage());
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}
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} else {
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// has more than one rows for this statement, use addBatch
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int count = 0;
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for (int i = 0; i < list.size(); i++) {
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onerow = (RowImpl) list.get(i);
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if (count < _batchLimit || _batchLimit == -1) {
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onerow.flush(ps, _dict, _store);
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ps.addBatch();
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count++;
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} else {
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// reach the batchLimit , execute it
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try {
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int[] rtn = ps.executeBatch();
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checkUpdateCount(rtn, onerow, key);
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} catch (BatchUpdateException bex) {
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SQLException sqex = bex.getNextException();
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if (sqex == null)
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sqex = bex;
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throw SQLExceptions.getStore(sqex, ps, _dict);
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}
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onerow.flush(ps, _dict, _store);
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ps.addBatch();
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count = 1; // reset the count to 1 for new batch
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}
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}
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// end of the loop, execute the batch
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try {
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int[] rtn = ps.executeBatch();
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checkUpdateCount(rtn, onerow, key);
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} catch (BatchUpdateException bex) {
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SQLException sqex = bex.getNextException();
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if (sqex == null)
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sqex = bex;
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throw SQLExceptions.getStore(sqex, ps, _dict);
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}
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}
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} catch (SQLException se) {
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SQLException sqex = se.getNextException();
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if (sqex == null)
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sqex = se;
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throw SQLExceptions.getStore(sqex, ps, _dict);
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}
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try {
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ps.close();
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} catch (SQLException sqex) {
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throw SQLExceptions.getStore(sqex, ps, _dict);
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}
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}
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// instead of calling _cacheSql.clear, null it out to improve the
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// performance.
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_cacheSql = null;
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}
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private void checkUpdateCount(int[] count, RowImpl row, String sql)
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throws SQLException {
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int cnt = 0;
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Object failed = null;
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for (int i = 0; i < count.length; i++) {
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cnt = count[i];
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switch (cnt) {
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case Statement.EXECUTE_FAILED: // -3
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failed = row.getFailedObject();
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if (failed != null || row.getAction() == Row.ACTION_UPDATE)
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_exceptions.add(new OptimisticException(failed));
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else if (row.getAction() == Row.ACTION_INSERT)
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throw new SQLException(_loc.get(
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"update-failed-no-failed-obj",
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String.valueOf(count[i]), sql).getMessage());
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break;
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case Statement.SUCCESS_NO_INFO: // -2
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if (_log.isTraceEnabled())
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_log.trace(_loc.get("batch_update_info",
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String.valueOf(cnt), sql).getMessage());
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break;
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case 0: // no row is inserted, treats it as failed
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// case
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failed = row.getFailedObject();
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if ((failed != null || row.getAction() == Row.ACTION_INSERT))
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throw new SQLException(_loc.get(
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"update-failed-no-failed-obj",
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String.valueOf(count[i]), sql).getMessage());
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}
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}
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}
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}
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@ -72,6 +72,8 @@ public class DB2Dictionary
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protected String databaseProductVersion = null;
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protected int maj = 0;
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protected int min = 0;
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private int defaultBatchLimit = 100;
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public DB2Dictionary() {
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platform = "DB2";
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|
@ -144,6 +146,8 @@ public class DB2Dictionary
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"TYPE", "UNDO", "UNTIL", "VALIDPROC", "VARIABLE", "VARIANT", "VCAT",
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"VOLUMES", "WHILE", "WLM", "YEARS",
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}));
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super.setBatchLimit(defaultBatchLimit);
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}
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public boolean supportsRandomAccessResultSet(Select sel,
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|
@ -690,6 +694,20 @@ public class DB2Dictionary
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return fstring;
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}
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/**
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* Return the batch limit. If the batchLimit is -1, change it to 100 for
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* best performance
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*/
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public int getBatchLimit() {
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int limit = super.getBatchLimit();
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if (limit == UNLIMITED) {
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limit = defaultBatchLimit;
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if (log.isTraceEnabled())
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log.trace(_loc.get("batch_unlimit", String.valueOf(limit)));
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}
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return limit;
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}
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/**
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* Return the correct CAST function syntax
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*
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|
|
|
@ -85,6 +85,7 @@ import org.apache.openjpa.jdbc.schema.Sequence;
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import org.apache.openjpa.jdbc.schema.Table;
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import org.apache.openjpa.jdbc.schema.Unique;
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import org.apache.openjpa.kernel.Filters;
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import org.apache.openjpa.kernel.OpenJPAStateManager;
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import org.apache.openjpa.kernel.exps.Path;
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import org.apache.openjpa.kernel.exps.Literal;
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import org.apache.openjpa.lib.conf.Configurable;
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|
@ -94,7 +95,9 @@ import org.apache.openjpa.lib.jdbc.LoggingConnectionDecorator;
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import org.apache.openjpa.lib.log.Log;
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import org.apache.openjpa.lib.util.Localizer;
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import org.apache.openjpa.lib.util.Localizer.Message;
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import org.apache.openjpa.meta.FieldMetaData;
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import org.apache.openjpa.meta.JavaTypes;
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import org.apache.openjpa.meta.ValueStrategies;
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import org.apache.openjpa.util.GeneralException;
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import org.apache.openjpa.util.InternalException;
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import org.apache.openjpa.util.InvalidStateException;
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|
@ -143,6 +146,9 @@ public class DBDictionary
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protected static final int NAME_ANY = 0;
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protected static final int NAME_TABLE = 1;
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protected static final int NAME_SEQUENCE = 2;
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protected static final int UNLIMITED = -1;
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protected static final int NO_BATCH = 0;
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private static final String ZERO_DATE_STR =
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"'" + new java.sql.Date(0) + "'";
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|
@ -334,6 +340,12 @@ public class DBDictionary
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private Method _setString = null;
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private Method _setCharStream = null;
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// batchLimit value:
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// -1 = unlimited
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// 0 = no batch
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// any positive number = batch limit
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public int batchLimit = NO_BATCH;
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||||
|
||||
public DBDictionary() {
|
||||
fixedSizeTypeNameSet.addAll(Arrays.asList(new String[]{
|
||||
"BIGINT", "BIT", "BLOB", "CLOB", "DATE", "DECIMAL", "DISTINCT",
|
||||
|
@ -4216,4 +4228,53 @@ public class DBDictionary
|
|||
public void createIndexIfNecessary(Schema schema, String table,
|
||||
Column pkColumn) {
|
||||
}
|
||||
|
||||
/**
|
||||
* Return the batchLimit
|
||||
*/
|
||||
public int getBatchLimit(){
|
||||
return batchLimit;
|
||||
}
|
||||
|
||||
/**
|
||||
* Set the batchLimit value
|
||||
*/
|
||||
public void setBatchLimit(int limit){
|
||||
batchLimit = limit;
|
||||
}
|
||||
|
||||
/**
|
||||
* Validate the batch process. In some cases, we can't batch the statements
|
||||
* due to some restrictions. For example, if the GeneratedType=IDENTITY,
|
||||
* we have to disable the batch process because we need to get the ID value
|
||||
* right away for the in-memory entity to use.
|
||||
*/
|
||||
public boolean validateBatchProcess(RowImpl row, Column[] autoAssign,
|
||||
OpenJPAStateManager sm, ClassMapping cmd ) {
|
||||
boolean disableBatch = false;
|
||||
if (getBatchLimit()== 0) return false;
|
||||
if (autoAssign != null && sm != null) {
|
||||
FieldMetaData[] fmd = cmd.getPrimaryKeyFields();
|
||||
int i = 0;
|
||||
while (!disableBatch && i < fmd.length) {
|
||||
if (fmd[i].getValueStrategy() == ValueStrategies.AUTOASSIGN)
|
||||
disableBatch = true;
|
||||
i++;
|
||||
}
|
||||
}
|
||||
// go to each Dictionary to validate the batch capability
|
||||
if (!disableBatch)
|
||||
disableBatch = validateDBSpecificBatchProcess(disableBatch, row,
|
||||
autoAssign, sm, cmd);
|
||||
return disableBatch;
|
||||
}
|
||||
|
||||
/**
|
||||
* Allow each Dictionary to validate its own batch process.
|
||||
*/
|
||||
public boolean validateDBSpecificBatchProcess (boolean disableBatch,
|
||||
RowImpl row, Column[] autoAssign,
|
||||
OpenJPAStateManager sm, ClassMapping cmd ) {
|
||||
return disableBatch;
|
||||
}
|
||||
}
|
||||
|
|
|
@ -108,6 +108,9 @@ public class OracleDictionary
|
|||
private Method _putBytes = null;
|
||||
private Method _putString = null;
|
||||
private Method _putChars = null;
|
||||
|
||||
// batch limit
|
||||
private int defaultBatchLimit = 100;
|
||||
|
||||
public OracleDictionary() {
|
||||
platform = "Oracle";
|
||||
|
@ -159,6 +162,7 @@ public class OracleDictionary
|
|||
}));
|
||||
|
||||
substringFunctionName = "SUBSTR";
|
||||
super.setBatchLimit(defaultBatchLimit);
|
||||
}
|
||||
|
||||
public void endConfiguration() {
|
||||
|
|
|
@ -110,3 +110,7 @@ no-nullable-fk: No nullable foreign key found to resolve circular flush\n\
|
|||
is nullable (optional).
|
||||
graph-not-cycle-free: A circular flush dependency has been found after all \
|
||||
circular dependencies should have been resolved.
|
||||
batch_limit: The batch limit is set to {0}.
|
||||
batch_update_info: ExecuteBatch command returns update count {0} for \
|
||||
statement {1}.
|
||||
|
||||
|
|
|
@ -169,3 +169,4 @@ millis-query-timeout: JDBC locking does not support millisecond-granularity \
|
|||
timeouts. Use timeouts that are multiples of 1000 for even second values.
|
||||
db-not-supported: The database product "{0}", version "{1}" is not officially supported.
|
||||
stream-exception: Unexpected error recovering the row to stream the LOB.
|
||||
batch_unlimit: The batch limit was changed from unlimit (-1) to {0}.
|
|
@ -3713,7 +3713,12 @@ openjpa.jdbc.UpdateManager</literal>
|
|||
UpdateManager</literal>
|
||||
</para>
|
||||
<para>
|
||||
<emphasis role="bold">Default: </emphasis><literal>default</literal>
|
||||
<emphasis role="bold">Default: </emphasis><literal>constraint-batching</literal>
|
||||
</para>
|
||||
<para>
|
||||
<emphasis role="bold">Possible values: </emphasis><literal>default</literal>,
|
||||
<literal>operation-order</literal>, <literal>constraint</literal>, <literal>
|
||||
batching-constraint</literal>, <literal>batching-operation-order</literal>
|
||||
</para>
|
||||
<para>
|
||||
<emphasis role="bold">Description:</emphasis> The full class name of the
|
||||
|
@ -3721,9 +3726,10 @@ UpdateManager</literal>
|
|||
<classname>org.apache.openjpa.jdbc.kernel.UpdateManager</classname></ulink> to
|
||||
use to flush persistent object changes to the datastore. The provided default
|
||||
implementation is
|
||||
<ulink url="../javadoc/org/apache/openjpa/jdbc/kernel/OperationOrderUpdateManager">
|
||||
<classname>org.apache.openjpa.jdbc.kernel.OperationOrderUpdateManager</classname>
|
||||
<ulink url="../javadoc/org/apache/openjpa/jdbc/kernel/BatchingConstraintUpdateManager">
|
||||
<classname>org.apache.openjpa.jdbc.kernel.BatchingConstraintUpdateManager</classname>
|
||||
</ulink>.
|
||||
|
||||
</para>
|
||||
</section>
|
||||
</section>
|
||||
|
|
|
@ -3060,6 +3060,112 @@ EntityManager em = emf.createEntityManager(props);
|
|||
</programlisting>
|
||||
</example>
|
||||
</section>
|
||||
<section id="ref_guide_dbsetup_stmtbatch">
|
||||
<title>
|
||||
Statement Batching
|
||||
</title>
|
||||
<indexterm zone="ref_guide_dbsetup_stmtbatch">
|
||||
<primary>
|
||||
Statement Batching
|
||||
</primary>
|
||||
</indexterm>
|
||||
<indexterm>
|
||||
<primary>
|
||||
JDBC
|
||||
</primary>
|
||||
<secondary>
|
||||
statement batching
|
||||
</secondary>
|
||||
<see>
|
||||
statement batching
|
||||
</see>
|
||||
</indexterm>
|
||||
<para>
|
||||
In addition to connection pooling and prepared statement caching, OpenJPA
|
||||
employs statement batching to speed up JDBC updates. Statement batching is
|
||||
enabled by default for any JDBC driver that supports it. When batching is on,
|
||||
OpenJPA automatically orders its SQL statements to maximize the size of each
|
||||
batch. This can result in large performance gains for transactions that modify
|
||||
a lot of data.
|
||||
</para>
|
||||
<para>
|
||||
You configure statement batching through the system DBDictionary, which is
|
||||
controlled by the openjpa.jdbc.DBDictionary configuration property. You can
|
||||
enable the statement batching by setting the batchLimit in the value. The batch
|
||||
limit is the maximum number of statements OpenJPA will ever batch
|
||||
together. A value has the following meaning:
|
||||
<itemizedlist>
|
||||
<listitem>
|
||||
<para>
|
||||
<literal>-1</literal>: Unlimited number of statements for a batch.
|
||||
</para>
|
||||
</listitem>
|
||||
<listitem>
|
||||
<para>
|
||||
<literal>0</literal>: Disable batch support. This is the default for most
|
||||
dictionaries.
|
||||
</para>
|
||||
</listitem>
|
||||
<listitem>
|
||||
<para>
|
||||
<literal>any positive number</literal>: Maximum number of statements for a batch.
|
||||
</para>
|
||||
</listitem>
|
||||
</itemizedlist>
|
||||
<note>
|
||||
<para>
|
||||
By default, the batch support is based on each Dictionary to define the default
|
||||
batch limit. Currently only DB2 and Oracle dictionaries are set the default
|
||||
batch limit to 100. The default batch limit for the rest of the dictionaries is set
|
||||
to zero (disabled).
|
||||
</para>
|
||||
</note>
|
||||
</para>
|
||||
<para>
|
||||
The example below shows how to enable and disable statement batching via
|
||||
your configuration properties.
|
||||
</para>
|
||||
<example id="ref_guide_dbsetup_stmtbatch_exmple1">
|
||||
<title>
|
||||
Enable SQL statement batching
|
||||
</title>
|
||||
<programlisting>
|
||||
<property name="openjpa.jdbc.DBDictionary" value="db2(batchLimit=25)"/>
|
||||
<property name="openjpa.jdbc.DBDictionary" value="oracle(batchLimit=-1)"/>
|
||||
Or
|
||||
<property name="openjpa.jdbc.DBDictionary" value="batchLimit=25"/>
|
||||
<property name="openjpa.jdbc.DBDictionary" value="batchLimit=-1"/>
|
||||
</programlisting>
|
||||
</example>
|
||||
<example id="ref_guide_dbsetup_stmtbatch_exmple2">
|
||||
<title>
|
||||
Disable SQL statement batching
|
||||
</title>
|
||||
<programlisting>
|
||||
<property name="openjpa.jdbc.DBDictionary" value="db2(batchLimit=0)"/>
|
||||
Or
|
||||
<property name="openjpa.jdbc.DBDictionary" value="batchLimit=0"/>
|
||||
</programlisting>
|
||||
</example>
|
||||
<par>
|
||||
By default, org.apache.openjpa.jdbc.kernel.BatchingConstraintUpdateManager
|
||||
is the default statement batching implementation. You can plug-in your own
|
||||
statement batching implementation by providing the implementation that extends
|
||||
from AbstractUpdateManager or ConstraitUpdateManager. Add this implementation
|
||||
class as a property in the persistence.xml file. For example, a custom
|
||||
statement batching implementation mycomp.MyUpdateManager extends
|
||||
ConstraitUpdateManager. You specify this implementation in the persistence.xml
|
||||
file as the following example:
|
||||
</par>
|
||||
<example id="ref_guide_dbsetup_stmtbatch_exmple3">
|
||||
<title>
|
||||
Plug-in custom statement batching implementation
|
||||
</title>
|
||||
<programlisting>
|
||||
<property name="openjpa.jdbc.UpdateManager" value="mycomp.MyUpdateManager"/>
|
||||
</programlisting>
|
||||
</example>
|
||||
</section>
|
||||
<section id="ref_guide_dbsetup_lrs">
|
||||
<title>
|
||||
Large Result Sets
|
||||
|
|
Loading…
Reference in New Issue