/* (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);
}
}