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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.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;
}
}