| /* |
| * 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.rowSet; |
| |
| import java.util.List; |
| |
| import org.apache.drill.exec.record.metadata.ColumnMetadata; |
| import org.apache.drill.exec.record.metadata.TupleMetadata; |
| import org.apache.drill.exec.vector.ValueVector; |
| import org.apache.drill.exec.vector.accessor.ColumnWriterIndex; |
| import org.apache.drill.exec.vector.accessor.writer.AbstractObjectWriter; |
| import org.apache.drill.exec.vector.accessor.writer.AbstractTupleWriter; |
| import org.apache.drill.exec.physical.rowSet.RowSet.ExtendableRowSet; |
| import org.apache.drill.exec.physical.rowSet.RowSet.SingleRowSet; |
| |
| /** |
| * Implementation of a row set writer. Only available for newly-created, |
| * empty, direct, single row sets. Rewriting is not allowed, nor is writing |
| * to a hyper row set. |
| */ |
| public class RowSetWriterImpl extends AbstractTupleWriter implements RowSetWriter { |
| |
| /** |
| * Writer index that points to each row in the row set. The index starts at |
| * the 0th row and advances one row on each increment. This allows writers to |
| * start positioned at the first row. Writes happen in the current row. |
| * Calling {@code next()} advances to the next position, effectively saving |
| * the current row. The most recent row can be abandoned easily simply by not |
| * calling {@code next()}. This means that the number of completed rows is |
| * the same as the row index. |
| */ |
| static class WriterIndexImpl implements ColumnWriterIndex { |
| |
| public enum State { OK, VECTOR_OVERFLOW, END_OF_BATCH } |
| |
| private int rowIndex = 0; |
| private State state = State.OK; |
| |
| @Override |
| public final int vectorIndex() { return rowIndex; } |
| |
| public final boolean next() { |
| if (++rowIndex < ValueVector.MAX_ROW_COUNT) { |
| return true; |
| } |
| // Should not call next() again once batch is full. |
| assert rowIndex == ValueVector.MAX_ROW_COUNT; |
| rowIndex = ValueVector.MAX_ROW_COUNT; |
| state = state == State.OK ? State.END_OF_BATCH : state; |
| return false; |
| } |
| |
| public int size() { |
| // The index always points to the next slot past the |
| // end of valid rows. |
| return rowIndex; |
| } |
| |
| public boolean valid() { return state == State.OK; } |
| |
| public boolean hasOverflow() { return state == State.VECTOR_OVERFLOW; } |
| |
| @Override |
| public final void nextElement() { } |
| |
| @Override |
| public final void prevElement() { } |
| |
| @Override |
| public void rollover() { |
| throw new UnsupportedOperationException("Rollover not supported in the row set writer."); |
| } |
| |
| @Override |
| public int rowStartIndex() { return rowIndex; } |
| |
| @Override |
| public ColumnWriterIndex outerIndex() { return null; } |
| |
| @Override |
| public String toString() { |
| return new StringBuilder() |
| .append("[") |
| .append(getClass().getSimpleName()) |
| .append(" state = ") |
| .append(state) |
| .append(", rowIndex = ") |
| .append(rowIndex) |
| .append("]") |
| .toString(); |
| } |
| } |
| |
| private final WriterIndexImpl writerIndex; |
| private final ExtendableRowSet rowSet; |
| |
| protected RowSetWriterImpl(ExtendableRowSet rowSet, TupleMetadata schema, WriterIndexImpl index, List<AbstractObjectWriter> writers) { |
| super(schema, writers); |
| this.rowSet = rowSet; |
| this.writerIndex = index; |
| bindIndex(index); |
| startWrite(); |
| startRow(); |
| } |
| |
| @Override |
| public RowSetWriter addRow(Object...values) { |
| setObject(values); |
| save(); |
| return this; |
| } |
| |
| @Override |
| public RowSetWriter addSingleCol(Object value) { |
| return addRow(value); |
| } |
| |
| @Override |
| public int rowIndex() { return writerIndex.vectorIndex(); } |
| |
| @Override |
| public void save() { |
| endArrayValue(); |
| saveRow(); |
| |
| // For convenience, start a new row after each save. |
| // The last (unused) row is abandoned when the batch is full. |
| if (writerIndex.next()) { |
| startRow(); |
| } |
| } |
| |
| @Override |
| public boolean isFull( ) { return ! writerIndex.valid(); } |
| |
| @Override |
| public SingleRowSet done() { |
| endWrite(); |
| rowSet.container().setRecordCount(writerIndex.vectorIndex()); |
| return rowSet; |
| } |
| |
| @Override |
| public int lastWriteIndex() { |
| return writerIndex.vectorIndex(); |
| } |
| |
| @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; |
| } |
| } |