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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.openjpa.jdbc.kernel;
import java.sql.Connection;
import java.sql.PreparedStatement;
import java.sql.Statement;
import java.sql.SQLException;
import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;
import org.apache.openjpa.jdbc.meta.ClassMapping;
import org.apache.openjpa.jdbc.schema.Column;
import org.apache.openjpa.jdbc.sql.Row;
import org.apache.openjpa.jdbc.sql.RowImpl;
import org.apache.openjpa.jdbc.sql.SQLExceptions;
import org.apache.openjpa.kernel.OpenJPAStateManager;
import org.apache.openjpa.lib.jdbc.ReportingSQLException;
import org.apache.openjpa.lib.util.Localizer;
import org.apache.openjpa.util.OptimisticException;
/**
* Batch prepared statement manager implementation. This prepared statement
* manager will utilize the JDBC addBatch() and exceuteBatch() to batch the SQL
* statements together to improve the execution performance.
*
* @author Teresa Kan
*/
public class BatchingPreparedStatementManagerImpl extends
PreparedStatementManagerImpl {
private final static Localizer _loc = Localizer
.forPackage(BatchingPreparedStatementManagerImpl.class);
private String _batchedSql = null;
private List _batchedRows = new ArrayList();
private int _batchLimit;
private boolean _disableBatch = false;
/**
* Constructor. Supply connection.
*/
public BatchingPreparedStatementManagerImpl(JDBCStore store,
Connection conn, int batchLimit) {
super(store, conn);
_batchLimit = batchLimit;
if (_log.isTraceEnabled())
_log.trace(_loc.get("batch_limit", String.valueOf(_batchLimit)));
}
/**
* Flush the given row immediately or deferred the flush in batch.
*/
protected void flushAndUpdate(RowImpl row) throws SQLException {
if (isBatchDisabled(row)) {
// if there were some statements batched before, then
// we need to flush them out first before processing the
// current non batch process.
flushBatch();
super.flushAndUpdate(row);
} else {
// process the SQL statement, either execute it immediately or
// batch it for later execution.
batchOrExecuteRow(row);
}
}
protected void batchOrExecuteRow(RowImpl row) throws SQLException {
String sql = row.getSQL(_dict);
if (_batchedSql == null) {
// brand new SQL
_batchedSql = sql;
} else if (!sql.equals(_batchedSql)) {
// SQL statements changed.
switch (_batchedRows.size()) {
case 0:
break;
case 1:
// single entry in cache, direct SQL execution.
try {
super.flushAndUpdate((RowImpl) _batchedRows.get(0));
} finally {
_batchedSql = null;
_batchedRows.clear();
}
break;
default:
// flush all entries in cache in batch.
flushBatch();
}
_batchedSql = sql;
}
_batchedRows.add(row);
}
/*
* Compute if batching is disabled, based on values of batch limit
* and database characteristics.
*/
private boolean isBatchDisabled(RowImpl row) {
boolean rtnVal = true;
int limit = getBatchLimit();
if ((limit < 0 || limit > 1) && !isBatchDisabled()) {
OpenJPAStateManager sm = row.getPrimaryKey();
ClassMapping cmd = null;
if (sm != null)
cmd = (ClassMapping) sm.getMetaData();
Column[] autoAssign = null;
if (row.getAction() == Row.ACTION_INSERT)
autoAssign = row.getTable().getAutoAssignedColumns();
// validate batch capability
rtnVal = _dict
.validateBatchProcess(row, autoAssign, sm, cmd);
setBatchDisabled(rtnVal);
}
return rtnVal;
}
/**
* flush all cached up statements to be executed as a single or batched
* prepared statements.
*/
protected void flushBatch() throws SQLException {
List batchedRows = getBatchedRows();
String batchedSql = getBatchedSql();
if (batchedRows == null)
return;
int batchSize = batchedRows.size();
if (batchedSql != null && batchSize > 0) {
PreparedStatement ps = null;
try {
RowImpl onerow = null;
ps = prepareStatement(batchedSql);
if (batchSize == 1) {
// execute a single row.
onerow = batchedRows.get(0);
flushSingleRow(onerow, ps);
} else {
// cache has more than one rows, execute as batch.
int count = 0;
int batchedRowsBaseIndex = 0;
Iterator itr = batchedRows.iterator();
while (itr.hasNext()) {
onerow = itr.next();
if (_batchLimit == 1) {
flushSingleRow(onerow, ps);
} else {
if (count < _batchLimit || _batchLimit == -1) {
if (ps != null)
onerow.flush(ps, _dict, _store);
addBatch(ps, onerow, count);
count++;
} else {
// reach the batchLimit, execute the batch
int[] rtn = executeBatch(ps);
checkUpdateCount(rtn, batchedRowsBaseIndex, ps);
batchedRowsBaseIndex += _batchLimit;
if (ps != null)
onerow.flush(ps, _dict, _store);
addBatch(ps, onerow, count);
// reset the count to 1 for new batch
count = 1;
}
}
}
// end of the loop, execute the batch
int[] rtn = executeBatch(ps);
checkUpdateCount(rtn, batchedRowsBaseIndex, ps);
}
} catch (SQLException se) {
//If we look at PreparedStatementManagerImpl.flushAndUpdate (which is the 'non-batch' code path
//similar to this path, or I should say, the path which is taken instead of this path when
//we aren't using batching), we see that the catch block doesn't do a 'se.getNextException'.
//When we do a 'getNextException', the 'next exception' doesn't contain the same message as se.
//That is, 'next exception' contains a subset msg which is contained in se.
SQLException sqex = se.getNextException();
if (sqex == null){
sqex = se;
}
if (se instanceof ReportingSQLException){
int index = ((ReportingSQLException) se).getIndexOfFirstFailedObject();
//if we have only batched one statement, the index should be 0. As can be seen above,
//if 'batchSize == 1' a different path is taken (the 'single row' path), and if that row
//fails, we know that the index is 0 since there is only one row.
if (batchSize == 1){
index = 0;
}
//index should not be less than 0 in this path, but if for some reason it is, lets
//resort to the 'old way' and simply pass the 'ps' as the failed object.
if (index < 0){
throw SQLExceptions.getStore(se, ps, _dict);
}
else{
if(_batchedRows.size() == 0) {
if(_log.isTraceEnabled()) {
_log.trace("No batched rows found. The failed object may not be reliable");
}
throw SQLExceptions.getStore(se, ps, _dict);
}
throw SQLExceptions.getStore(se, (_batchedRows.get(index)).getFailedObject(), _dict);
}
}
else{
//per comments above, use 'sqex' rather than 'se'.
throw SQLExceptions.getStore(sqex, ps, _dict);
}
} finally {
_batchedSql = null;
batchedRows.clear();
if (ps != null) {
ps.clearParameters();
try {
ps.close();
} catch (SQLException sqex) {
throw SQLExceptions.getStore(sqex, ps, _dict);
}
}
}
}
}
/*
* Execute an update of a single row.
*/
private void flushSingleRow(RowImpl row, PreparedStatement ps)
throws SQLException {
if (ps != null)
row.flush(ps, _dict, _store);
int count = executeUpdate(ps, row.getSQL(_dict), row);
if (count != 1) {
logSQLWarnings(ps);
Object failed = row.getFailedObject();
if (failed != null)
_exceptions.add(new OptimisticException(failed));
else if (row.getAction() == Row.ACTION_INSERT)
throw new SQLException(_loc.get("update-failed-no-failed-obj",
String.valueOf(count), row.getSQL(_dict)).getMessage());
}
}
/*
* Process executeBatch function array of return counts.
*/
private void checkUpdateCount(int[] count, int batchedRowsBaseIndex,
PreparedStatement ps)
throws SQLException {
// value in int[] count returned from executeBatch:
// Update Delete Insert
// ===============================================================
// OK / Error OK / Error OK / Error
// DB2LUW 1 / 0 1 / 0 1 / SQLException
// DB2/ZOS 1 / 0 1 / 0 -2 / SQLException
// Oracle -2 / -2 -2 / -2 -2 / SQLException
int cnt = 0;
int updateSuccessCnt = _dict.getBatchUpdateCount(ps);
Object failed = null;
List batchedRows = getBatchedRows();
for (int i = 0; i < count.length; i++) {
cnt = count[i];
RowImpl row = (RowImpl) batchedRows.get(batchedRowsBaseIndex + i);
failed = row.getFailedObject();
switch (cnt) {
case Statement.EXECUTE_FAILED: // -3
if (failed != null || row.getAction() == Row.ACTION_UPDATE)
_exceptions.add(new OptimisticException(failed));
else if (row.getAction() == Row.ACTION_INSERT)
throw new SQLException(_loc.get(
"update-failed-no-failed-obj",
String.valueOf(count[i]),
row.getSQL(_dict)).getMessage());
break;
case Statement.SUCCESS_NO_INFO: // -2
if (_dict.reportsSuccessNoInfoOnBatchUpdates &&
updateSuccessCnt != count.length) {
// Oracle batching specifics:
// treat update/delete of SUCCESS_NO_INFO as failed case
// because:
// 1. transaction should be rolled back.
// 2. if DataCache is enabled, objects in
// cache should be removed.
if (failed != null)
_exceptions.add(new OptimisticException(failed));
else if (row.getAction() == Row.ACTION_INSERT)
throw new SQLException(_loc.get(
"update-failed-no-failed-obj",
String.valueOf(count[i]),
row.getSQL(_dict)).getMessage());
}
if (_log.isTraceEnabled())
_log.trace(_loc.get("batch_update_info",
String.valueOf(cnt),
row.getSQL(_dict)).getMessage());
break;
case 0: // no row is inserted, treats it as failed
// case
logSQLWarnings(ps);
if (failed != null)
_exceptions.add(new OptimisticException(failed));
else if (row.getAction() == Row.ACTION_INSERT)
throw new SQLException(_loc.get(
"update-failed-no-failed-obj",
String.valueOf(count[i]),
row.getSQL(_dict)).getMessage());
}
}
}
public boolean isBatchDisabled() {
return _disableBatch;
}
public void setBatchDisabled(boolean disableBatch) {
_disableBatch = disableBatch;
}
public int getBatchLimit() {
return _batchLimit;
}
public void setBatchLimit(int batchLimit) {
_batchLimit = batchLimit;
}
public List getBatchedRows() {
return _batchedRows;
}
public String getBatchedSql() {
return _batchedSql;
}
protected void addBatch(PreparedStatement ps, RowImpl row,
int count) throws SQLException {
ps.addBatch();
}
protected int[] executeBatch(PreparedStatement ps)
throws SQLException {
return ps.executeBatch();
}
}
