Examples with TableBufferReducedStatementExecutor org.apache.flink.connector.jdbc.internal.executor.TableBufferReducedStatementExecutor used on opensource projects

Example 1 with TableBufferReducedStatementExecutor

use of org.apache.flink.connector.jdbc.internal.executor.TableBufferReducedStatementExecutor in project flink by apache.

the class JdbcOutputFormatBuilder method createBufferReduceExecutor.

private static JdbcBatchStatementExecutor<RowData> createBufferReduceExecutor(JdbcDmlOptions opt, RuntimeContext ctx, TypeInformation<RowData> rowDataTypeInfo, LogicalType[] fieldTypes) {
    checkArgument(opt.getKeyFields().isPresent());
    JdbcDialect dialect = opt.getDialect();
    String tableName = opt.getTableName();
    String[] pkNames = opt.getKeyFields().get();
    int[] pkFields = Arrays.stream(pkNames).mapToInt(Arrays.asList(opt.getFieldNames())::indexOf).toArray();
    LogicalType[] pkTypes = Arrays.stream(pkFields).mapToObj(f -> fieldTypes[f]).toArray(LogicalType[]::new);
    final TypeSerializer<RowData> typeSerializer = rowDataTypeInfo.createSerializer(ctx.getExecutionConfig());
    final Function<RowData, RowData> valueTransform = ctx.getExecutionConfig().isObjectReuseEnabled() ? typeSerializer::copy : Function.identity();
    return new TableBufferReducedStatementExecutor(createUpsertRowExecutor(dialect, tableName, opt.getFieldNames(), fieldTypes, pkFields, pkNames, pkTypes), createDeleteExecutor(dialect, tableName, pkNames, pkTypes), createRowKeyExtractor(fieldTypes, pkFields), valueTransform);
}