/* (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 }); } }