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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.test;
import static org.junit.Assert.assertEquals;
import java.util.ArrayList;
import java.util.HashSet;
import java.util.Iterator;
import java.util.List;
import java.util.Set;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.mapred.jobcontrol.Job;
import org.apache.hadoop.mapred.jobcontrol.JobControl;
import org.apache.pig.ExecType;
import org.apache.pig.PigServer;
import org.apache.pig.backend.hadoop.datastorage.ConfigurationUtil;
import org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler;
import org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.plans.MROperPlan;
import org.apache.pig.backend.hadoop.executionengine.physicalLayer.plans.PhysicalPlan;
import org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POStore;
import org.apache.pig.data.Tuple;
import org.apache.pig.impl.PigContext;
import org.apache.pig.impl.util.ConfigurationValidator;
import org.apache.pig.newplan.OperatorPlan;
import org.apache.pig.newplan.logical.optimizer.LogicalPlanOptimizer;
import org.apache.pig.newplan.logical.rules.GroupByConstParallelSetter;
import org.apache.pig.newplan.optimizer.Rule;
import org.apache.pig.test.utils.GenPhyOp;
import org.apache.pig.tools.pigstats.JobStats;
import org.apache.pig.tools.pigstats.PigStats;
import org.apache.pig.tools.pigstats.PigStats.JobGraph;
import org.junit.AfterClass;
import org.junit.BeforeClass;
import org.junit.Test;
public class TestGroupConstParallel {
private static final String INPUT_FILE = "TestGroupConstParallelInp";
private static MiniCluster cluster = MiniCluster.buildCluster();
@BeforeClass
public static void oneTimeSetup() throws Exception{
String[] input = {
"two",
"one",
"two",
};
Util.createInputFile(cluster, INPUT_FILE, input);
}
@AfterClass
public static void tearDownAfterClass() throws Exception {
cluster.shutDown();
}
/**
* Test parallelism for group all
* @throws Exception
*/
@Test
public void testGroupAllWithParallel() throws Exception {
PigServer pigServer = new PigServer(ExecType.MAPREDUCE, cluster
.getProperties());
pigServer.registerQuery("A = LOAD '" + INPUT_FILE + "' as (x:chararray);");
pigServer.registerQuery("B = group A all parallel 5;");
{
Iterator<Tuple> iter = pigServer.openIterator("B");
List<Tuple> expectedRes =
Util.getTuplesFromConstantTupleStrings(
new String[] {
"('all',{('one'),('two'),('two')})"
});
Util.checkQueryOutputsAfterSort(iter, expectedRes);
JobGraph jGraph = PigStats.get().getJobGraph();
assertEquals(1, jGraph.size());
// find added map-only concatenate job
JobStats js = (JobStats)jGraph.getSources().get(0);
assertEquals(1, js.getNumberMaps());
assertEquals(1, js.getNumberReduces());
}
}
/**
* Test parallelism for group by constant
* @throws Throwable
*/
@Test
public void testGroupConstWithParallel() throws Throwable {
PigContext pc = new PigContext(ExecType.MAPREDUCE, cluster.getProperties());
pc.defaultParallel = 100;
pc.connect();
String query = "a = load 'input';\n" + "b = group a by 1;" + "store b into 'output';";
PigServer pigServer = new PigServer( ExecType.MAPREDUCE, cluster.getProperties() );
PhysicalPlan pp = Util.buildPp( pigServer, query );
MROperPlan mrPlan = Util.buildMRPlan(pp, pc);
ConfigurationValidator.validatePigProperties(pc.getProperties());
Configuration conf = ConfigurationUtil.toConfiguration(pc.getProperties());
JobControlCompiler jcc = new JobControlCompiler(pc, conf);
JobControl jobControl = jcc.compile(mrPlan, "Test");
Job job = jobControl.getWaitingJobs().get(0);
int parallel = job.getJobConf().getNumReduceTasks();
assertEquals("parallism", 1, parallel);
}
/**
* Test parallelism for group by column
* @throws Throwable
*/
@Test
public void testGroupNonConstWithParallel() throws Throwable {
PigContext pc = new PigContext(ExecType.MAPREDUCE, cluster.getProperties());
pc.defaultParallel = 100;
pc.connect();
PigServer pigServer = new PigServer( ExecType.MAPREDUCE, cluster.getProperties() );
String query = "a = load 'input';\n" + "b = group a by $0;" + "store b into 'output';";
PhysicalPlan pp = Util.buildPp( pigServer, query );
MROperPlan mrPlan = Util.buildMRPlan(pp, pc);
ConfigurationValidator.validatePigProperties(pc.getProperties());
Configuration conf = ConfigurationUtil.toConfiguration(pc.getProperties());
JobControlCompiler jcc = new JobControlCompiler(pc, conf);
JobControl jobControl = jcc.compile(mrPlan, "Test");
Job job = jobControl.getWaitingJobs().get(0);
int parallel = job.getJobConf().getNumReduceTasks();
assertEquals("parallism", 100, parallel);
}
public class MyPlanOptimizer extends LogicalPlanOptimizer {
protected MyPlanOptimizer(OperatorPlan p, int iterations) {
super(p, iterations, null);
}
protected List<Set<Rule>> buildRuleSets() {
List<Set<Rule>> ls = new ArrayList<Set<Rule>>();
Rule r = new GroupByConstParallelSetter("GroupByConstParallelSetter");
Set<Rule> s = new HashSet<Rule>();
s.add(r);
ls.add(s);
return ls;
}
}
}