/* (c) 2014 LinkedIn Corp. All rights reserved.
*
* Licensed 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.
*/
package com.linkedin.cubert.operator.aggregate;
import java.io.IOException;
import org.apache.pig.data.BagFactory;
import org.apache.pig.data.DataBag;
import org.apache.pig.data.Tuple;
import org.codehaus.jackson.JsonNode;
import com.linkedin.cubert.block.Block;
import com.linkedin.cubert.block.BlockSchema;
import com.linkedin.cubert.block.ColumnType;
import com.linkedin.cubert.block.DataType;
import com.linkedin.cubert.utils.JsonUtils;
import com.linkedin.cubert.utils.TupleUtils;
public class CreateArray implements AggregationFunction
{
public CreateArray()
{
}
public BagFactory mBagFactory = BagFactory.getInstance();
private DataBag outputBag;
private int inputColumnIndex;
private int outputColumnIndex;
@Override
public void setup(Block block, BlockSchema outputSchema, JsonNode json) throws IOException
{
BlockSchema inputSchema = block.getProperties().getSchema();
String[] inputColumnNames = JsonUtils.asArray(json, "input");
assert (inputColumnNames.length == 1);
String inputColumnName = inputColumnNames[0];
inputColumnIndex = inputSchema.getIndex(inputColumnName);
outputBag = mBagFactory.newDefaultBag();
String outputColumnName = JsonUtils.getText(json, "output");
outputColumnIndex = outputSchema.getIndex(outputColumnName);
resetState();
}
@Override
public void resetState()
{
outputBag = mBagFactory.newDefaultBag();
}
@Override
public void aggregate(Tuple inputTuple) throws IOException
{
Tuple tupleToBeAdded = (Tuple) inputTuple.get(inputColumnIndex);
outputBag.add(TupleUtils.getDeepCopy(tupleToBeAdded));
}
@Override
public void output(Tuple outputTuple) throws IOException
{
outputTuple.set(outputColumnIndex, outputBag);
resetState();
}
@Override
public void resetTuple(Tuple outputTuple) throws IOException
{
outputTuple.set(outputColumnIndex, mBagFactory.newDefaultBag());
}
@Override
public BlockSchema outputSchema(BlockSchema inputSchema, JsonNode aggregateJson)
{
String inputColumnName = JsonUtils.asArray(aggregateJson, "input")[0];
int inputColIndex = inputSchema.getIndex(inputColumnName);
ColumnType inputColType = inputSchema.getColumnType(inputColIndex);
ColumnType outColType =
new ColumnType("ARRAY___" + inputColumnName, DataType.BAG);
outColType.setColumnSchema(new BlockSchema(new ColumnType[] { inputColType }));
return new BlockSchema(new ColumnType[] { outColType });
}
}