/* (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.functions.builtin; import java.io.IOException; import org.apache.pig.data.Tuple; import com.linkedin.cubert.block.BlockSchema; import com.linkedin.cubert.block.ColumnType; import com.linkedin.cubert.block.DataType; import com.linkedin.cubert.functions.Function; import com.linkedin.cubert.operator.PhaseContext; import com.linkedin.cubert.operator.PreconditionException; /** * Builtin function that generates a unique id for each process. That is, different * mappers or reducers will generate different ids. * * @author Maneesh Varshney * */ public class UniqueId extends Function { private long id; @Override public Object eval(Tuple tuple) throws IOException { return id; } @Override public ColumnType outputSchema(BlockSchema inputSchema) throws PreconditionException { if (PhaseContext.isIntialized()) id = PhaseContext.getUniqueId(); return new ColumnType(null, DataType.LONG); } }