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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.pig.backend.hadoop.executionengine.mapReduceLayer;
import org.apache.hadoop.mapreduce.Job;
import org.apache.pig.classification.InterfaceAudience;
import org.apache.pig.classification.InterfaceStability;
import java.io.IOException;
/**
* Interface to implement when you want to use a custom approach to estimating
* the number of reducers for a job.
*
* @see InputSizeReducerEstimator
*/
@InterfaceAudience.Public
@InterfaceStability.Evolving
public interface PigReducerEstimator {
static final String BYTES_PER_REDUCER_PARAM = "pig.exec.reducers.bytes.per.reducer";
static final String MAX_REDUCER_COUNT_PARAM = "pig.exec.reducers.max";
static final long DEFAULT_BYTES_PER_REDUCER = 1000 * 1000 * 1000;
static final int DEFAULT_MAX_REDUCER_COUNT_PARAM = 999;
/**
* Estimate the number of reducers for a given job based on the collection
* of load funcs passed.
*
* @param job job instance
* @param mapReduceOper map reducer operator of the job
* @return the number of reducers to use, or -1 if the count couldn't be estimated
* @throws IOException
*/
public int estimateNumberOfReducers(Job job, MapReduceOper mapReduceOper) throws IOException;
}