| /* |
| * 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.drill.exec.physical.resultSet.impl; |
| |
| import java.util.ArrayList; |
| |
| import org.apache.drill.exec.physical.resultSet.ResultSetLoader; |
| import org.apache.drill.exec.physical.resultSet.RowSetLoader; |
| import org.apache.drill.exec.record.metadata.ColumnMetadata; |
| import org.apache.drill.exec.record.metadata.TupleMetadata; |
| import org.apache.drill.exec.vector.accessor.writer.AbstractObjectWriter; |
| import org.apache.drill.exec.vector.accessor.writer.AbstractTupleWriter; |
| |
| |
| /** |
| * Implementation of the row set loader. Provides row-level operations, leaving the |
| * result set loader to provide batch-level operations. However, all control |
| * operations are actually delegated to the result set loader, which handles |
| * the details of working with overflow rows. |
| */ |
| public class RowSetLoaderImpl extends AbstractTupleWriter implements RowSetLoader { |
| |
| private final ResultSetLoaderImpl rsLoader; |
| |
| protected RowSetLoaderImpl(ResultSetLoaderImpl rsLoader, TupleMetadata schema) { |
| super(schema, new ArrayList<AbstractObjectWriter>()); |
| this.rsLoader = rsLoader; |
| bindIndex(rsLoader.writerIndex()); |
| } |
| |
| @Override |
| public ResultSetLoader loader() { return rsLoader; } |
| |
| @Override |
| public RowSetLoader addRow(Object...values) { |
| if (! start()) { |
| throw new IllegalStateException("Batch is full."); |
| } |
| setObject(values); |
| save(); |
| return this; |
| } |
| |
| @Override |
| public RowSetLoader addSingleCol(Object value) { |
| if (! start()) { |
| throw new IllegalStateException("Batch is full."); |
| } |
| set(0, value); |
| save(); |
| return this; |
| } |
| |
| @Override |
| public int rowIndex() { return rsLoader.writerIndex().vectorIndex(); } |
| |
| @Override |
| public void save() { rsLoader.saveRow(); } |
| |
| @Override |
| public boolean start() { |
| if (rsLoader.isFull()) { |
| |
| // Full batch? Return false. |
| return false; |
| } else if (state == State.IN_ROW) { |
| |
| // Already in a row? Rewind the to start of the row. |
| restartRow(); |
| } else { |
| |
| // Otherwise, advance to the next row. |
| rsLoader.startRow(); |
| } |
| return true; |
| } |
| |
| public void endBatch() { |
| if (state == State.IN_ROW) { |
| restartRow(); |
| state = State.IN_WRITE; |
| } |
| endWrite(); |
| } |
| |
| @Override |
| public boolean limitReached(int maxRecords) { |
| return (maxRecords > 0 && this.rowCount() >= maxRecords); |
| } |
| |
| @Override |
| public boolean isFull() { return rsLoader.isFull(); } |
| |
| @Override |
| public int rowCount() { return rsLoader.rowCount(); } |
| |
| @Override |
| public ColumnMetadata schema() { |
| |
| // The top-level tuple (the data row) is not associated |
| // with a parent column. By contrast, a map tuple is |
| // associated with the column that defines the map. |
| return null; |
| } |
| } |