本文整理了Java中org.pentaho.di.core.database.Database.openQuery()
方法的一些代码示例,展示了Database.openQuery()
的具体用法。这些代码示例主要来源于Github
/Stackoverflow
/Maven
等平台,是从一些精选项目中提取出来的代码,具有较强的参考意义,能在一定程度帮忙到你。Database.openQuery()
方法的具体详情如下:
包路径:org.pentaho.di.core.database.Database
类名称:Database
方法名:openQuery
[英]Open a query on the database with a set of parameters stored in a Kettle Row
[中]在数据库上打开一个查询,其中一组参数存储在一行中
代码示例来源:origin: pentaho/pentaho-kettle
/**
* Open a query on the database with a set of parameters stored in a Kettle Row
*
* @param sql The SQL to launch with question marks (?) as placeholders for the parameters
* @param params The parameters or null if no parameters are used.
* @return A JDBC ResultSet
* @throws KettleDatabaseException when something goes wrong with the query.
* @data the parameter data to open the query with
*/
public ResultSet openQuery( String sql, RowMetaInterface params, Object[] data ) throws KettleDatabaseException {
return openQuery( sql, params, data, ResultSet.FETCH_FORWARD );
}
代码示例来源:origin: pentaho/pentaho-kettle
public ResultSet openQuery( String sql ) throws KettleDatabaseException {
return openQuery( sql, null, null );
}
代码示例来源:origin: pentaho/pentaho-kettle
/**
* Reads the result of an SQL query into an ArrayList.
*
* @param sql The SQL to launch
* @param params The types of any parameters to be passed to the query
* @param data The values of any parameters to be passed to the query
* @param fetch_mode The fetch mode for the query (ResultSet.FETCH_FORWARD, e.g.)
* @param lazyConversion Whether to perform lazy conversion of the values
* @param limit <=0 means unlimited, otherwise this specifies the maximum number of rows read.
* @param monitor The progress monitor to update while getting the rows.
* @return An ArrayList of rows.
* @throws KettleDatabaseException if something goes wrong.
*/
public List<Object[]> getRows( String sql, RowMetaInterface params, Object[] data, int fetch_mode,
boolean lazyConversion, int limit, ProgressMonitorListener monitor )
throws KettleDatabaseException {
if ( monitor != null ) {
monitor.setTaskName( "Opening query..." );
}
ResultSet rset = openQuery( sql, params, data, fetch_mode, lazyConversion );
return getRows( rset, limit, monitor );
}
代码示例来源:origin: pentaho/pentaho-kettle
@Override public String[] call() throws Exception {
ResultSet resultSet = database.openQuery( ps, parameterMeta, parameterData );
List<Object[]> rows = database.getRows( resultSet, 0, null );
if ( Utils.isEmpty( rows ) ) {
return new String[ 0 ];
}
// assemble the result
//
RowMetaInterface rowMeta = database.getReturnRowMeta();
String[] strings = new String[ rows.size() ];
for ( int i = 0; i < strings.length; i++ ) {
Object[] row = rows.get( i );
strings[ i ] = rowMeta.getString( row, 0 );
}
return strings;
}
} );
代码示例来源:origin: pentaho/pentaho-kettle
@Override public ObjectId[] call() throws Exception {
ResultSet resultSet = database.openQuery( ps, parameterMeta, parameterData );
List<Object[]> rows = database.getRows( resultSet, 0, null );
if ( Utils.isEmpty( rows ) ) {
return new ObjectId[ 0 ];
}
RowMetaInterface rowMeta = database.getReturnRowMeta();
ObjectId[] ids = new ObjectId[ rows.size() ];
for ( int i = 0; i < ids.length; i++ ) {
Object[] row = rows.get( i );
ids[ i ] = new LongObjectId( rowMeta.getInteger( row, 0 ) );
}
return ids;
}
} );
代码示例来源:origin: pentaho/pentaho-kettle
public RowMetaAndData getOneRow( String sql, RowMetaInterface param, Object[] data ) throws KettleDatabaseException {
ResultSet rs = openQuery( sql, param, data );
if ( rs != null ) {
代码示例来源:origin: pentaho/pentaho-kettle
ResultSet rs = openQuery( sql );
if ( rs != null ) {
代码示例来源:origin: pentaho/pentaho-kettle
res = database.openQuery( sql.toString() );
if ( res != null ) {
Object[] row = database.getRow( res );
代码示例来源:origin: pentaho/pentaho-kettle
ResultSet rs = db.openQuery( strSQL );
ResultSetMetaData resultSetMetaData = rs.getMetaData();
int columnCount = resultSetMetaData.getColumnCount();
代码示例来源:origin: pentaho/pentaho-kettle
@Override public Collection<RowMetaAndData> call() throws Exception {
ResultSet resultSet = null;
try {
resultSet = database.openQuery( ps, parameterMeta, parameterData );
List<Object[]> rows = database.getRows( resultSet, 0, null );
for ( Object[] row : rows ) {
RowMetaAndData rowWithMeta = new RowMetaAndData( database.getReturnRowMeta(), row );
long id =
rowWithMeta.getInteger(
quote( KettleDatabaseRepository.FIELD_DATABASE_ATTRIBUTE_ID_DATABASE_ATTRIBUTE ), 0 );
if ( id > 0 ) {
attrs.add( rowWithMeta );
}
}
return attrs;
} catch ( KettleDatabaseException e ) {
throw e;
} finally {
database.closeQuery( resultSet );
}
}
} );
代码示例来源:origin: pentaho/pentaho-kettle
@Override public List<RepositoryElementMetaInterface> call() throws Exception {
List<RepositoryElementMetaInterface> repositoryObjects = new ArrayList<RepositoryElementMetaInterface>();
ResultSet rs = database.openQuery( sql, directoryIdRow.getRowMeta(), directoryIdRow.getData() );
if ( rs != null ) {
List<Object[]> rows = database.getRows( rs, -1, null );
if ( rs != null ) {
database.closeQuery( rs );
}
RowMetaInterface rowMeta = database.getReturnRowMeta();
for ( Object[] r : rows ) {
ObjectId id = new LongObjectId( rowMeta.getInteger( r, 4 ) );
repositoryObjects.add( new RepositoryObject( id, rowMeta.getString( r, 0 ), repositoryDirectory, rowMeta
.getString( r, 1 ), rowMeta.getDate( r, 2 ), objectType, rowMeta.getString( r, 3 ), false ) );
}
}
return repositoryObjects;
}
} );
代码示例来源:origin: pentaho/pentaho-kettle
ResultSet rs = db.openQuery( strSQL );
ResultSetMetaData resultSetMetaData = rs.getMetaData();
int columnCount = resultSetMetaData.getColumnCount();
代码示例来源:origin: pentaho/pentaho-kettle
ResultSet res = openQuery( sql );
if ( res != null ) {
Object[] row = getRow( res );
代码示例来源:origin: pentaho/pentaho-kettle
@Override public RowMetaAndData call() throws Exception {
ResultSet resultSet = null;
resultSet = database.openQuery( ps, parameterMeta, parameterData );
Object[] result = database.getRow( resultSet );
if ( resultSet != null ) {
database.closeQuery( resultSet );
}
if ( result == null ) {
return new RowMetaAndData( database.getReturnRowMeta(), RowDataUtil.allocateRowData( database
.getReturnRowMeta().size() ) );
}
return new RowMetaAndData( database.getReturnRowMeta(), result );
}
} );
代码示例来源:origin: pentaho/pentaho-kettle
ResultSet res = null;
try {
res = database.openQuery( sql );
if ( res != null ) {
Object[] row = database.getRow( res );
代码示例来源:origin: pentaho/pentaho-kettle
public synchronized void fillStepAttributesBuffer( ObjectId id_transformation ) throws KettleException {
String sql =
"SELECT "
+ quote( KettleDatabaseRepository.FIELD_STEP_ATTRIBUTE_ID_STEP ) + ", "
+ quote( KettleDatabaseRepository.FIELD_STEP_ATTRIBUTE_CODE ) + ", "
+ quote( KettleDatabaseRepository.FIELD_STEP_ATTRIBUTE_NR ) + ", "
+ quote( KettleDatabaseRepository.FIELD_STEP_ATTRIBUTE_VALUE_NUM ) + ", "
+ quote( KettleDatabaseRepository.FIELD_STEP_ATTRIBUTE_VALUE_STR ) + " " + "FROM "
+ databaseMeta.getQuotedSchemaTableCombination( null, KettleDatabaseRepository.TABLE_R_STEP_ATTRIBUTE )
+ " " + "WHERE " + quote( KettleDatabaseRepository.FIELD_STEP_ATTRIBUTE_ID_TRANSFORMATION ) + " = ? "
+ "ORDER BY " + quote( KettleDatabaseRepository.FIELD_STEP_ATTRIBUTE_ID_STEP ) + ", "
+ quote( KettleDatabaseRepository.FIELD_STEP_ATTRIBUTE_CODE ) + ", "
+ quote( KettleDatabaseRepository.FIELD_STEP_ATTRIBUTE_NR );
PreparedStatement ps = getPreparedStatement( sql );
RowMetaAndData parameter = getParameterMetaData( id_transformation );
stepAttributesBuffer = callRead(
() -> database.getRows( database.openQuery( ps, parameter.getRowMeta(), parameter.getData() ), -1, null ) );
stepAttributesRowMeta = database.getReturnRowMeta();
// must use java-based sort to ensure compatibility with binary search
// database ordering may or may not be case-insensitive
// in case db sort does not match our sort
//
Collections.sort( stepAttributesBuffer, new StepAttributeComparator() ); //
}
代码示例来源:origin: pentaho/pentaho-kettle
data.rs = data.db.openQuery( sql, null, null, ResultSet.FETCH_FORWARD, meta.isLazyConversionActive() );
} else {
data.rs =
data.db.openQuery( sql, parametersMeta, parameters, ResultSet.FETCH_FORWARD, meta
.isLazyConversionActive() );
代码示例来源:origin: pentaho/pentaho-kettle
public ResultSet openQuery( String sql, RowMetaInterface params, Object[] data, int fetch_mode,
boolean lazyConversion ) throws KettleDatabaseException {
ResultSet res;
// Create a Statement
try {
log.snap( Metrics.METRIC_DATABASE_OPEN_QUERY_START, databaseMeta.getName() );
if ( params != null ) {
log.snap( Metrics.METRIC_DATABASE_PREPARE_SQL_START, databaseMeta.getName() );
pstmt =
connection.prepareStatement(
databaseMeta.stripCR( sql ), ResultSet.TYPE_FORWARD_ONLY, ResultSet.CONCUR_READ_ONLY );
log.snap( Metrics.METRIC_DATABASE_PREPARE_SQL_STOP, databaseMeta.getName() );
log.snap( Metrics.METRIC_DATABASE_SQL_VALUES_START, databaseMeta.getName() );
setValues( params, data ); // set the dates etc!
log.snap( Metrics.METRIC_DATABASE_SQL_VALUES_STOP, databaseMeta.getName() );
if ( canWeSetFetchSize( pstmt ) ) {
int maxRows = pstmt.getMaxRows();
int fs = Const.FETCH_SIZE <= maxRows ? maxRows : Const.FETCH_SIZE;
if ( databaseMeta.isMySQLVariant() ) {
setMysqlFetchSize( pstmt, fs, maxRows );
} else {
pstmt.setFetchSize( fs );
}
pstmt.setFetchDirection( fetch_mode );
}
代码示例来源:origin: pentaho/pentaho-kettle
ResultSet rs = null;
try {
rs = openQuery( sql, params, data );
if ( rs != null ) {
Object[] row = getRow( rs );
代码示例来源:origin: pentaho/pentaho-kettle
ResultSet rs = data.db.openQuery( data.pstmt, data.lookupRowMeta, lookupRowData );
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