/* (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; import java.io.IOException; import java.util.Map; import org.apache.pig.data.Tuple; import org.codehaus.jackson.JsonNode; import com.linkedin.cubert.block.Block; import com.linkedin.cubert.block.BlockProperties; /** * Sample the tuples from a data source. * * Used for debugging to cut down the size of data. * * Currently the implemention is simple: pick the first N tuple. Later on we can expand it * to probabilistic sampling etc. * * @author Maneesh Varshney * */ public class LimitOperator implements TupleOperator { private Block block; private int maxTuples; private int numTuples; @Override public void setInput(Map<String, Block> input, JsonNode json, BlockProperties props) throws IOException, InterruptedException { block = input.values().iterator().next(); maxTuples = json.get("maxTuples").getIntValue(); numTuples = 0; } @Override public Tuple next() throws IOException, InterruptedException { if (numTuples >= maxTuples) { // we are done.. but first drain the remaining tuples while (block.next() != null) { } return null; } numTuples++; return block.next(); } @Override public PostCondition getPostCondition(Map<String, PostCondition> preConditions, JsonNode json) throws PreconditionException { return preConditions.values().iterator().next(); } }