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* Licensed to the Apache Software Foundation (ASF) under one
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* 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.tez;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertTrue;
import java.io.File;
import java.io.FileWriter;
import java.io.IOException;
import java.io.PrintWriter;
import java.io.StringWriter;
import java.util.Iterator;
import java.util.List;
import java.util.Properties;
import java.util.Random;
import org.apache.hadoop.fs.FileStatus;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.fs.PathFilter;
import org.apache.pig.PigConfiguration;
import org.apache.pig.PigServer;
import org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.InputSizeReducerEstimator;
import org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MRConfiguration;
import org.apache.pig.backend.hadoop.executionengine.tez.plan.optimizer.ParallelismSetter;
import org.apache.pig.data.Tuple;
import org.apache.pig.impl.plan.NodeIdGenerator;
import org.apache.pig.test.MiniGenericCluster;
import org.apache.pig.test.Util;
import org.junit.After;
import org.junit.AfterClass;
import org.junit.Before;
import org.junit.BeforeClass;
import org.junit.Test;
public class TestTezAutoParallelism {
private static final String INPUT_FILE1 = TestTezAutoParallelism.class.getName() + "_1";
private static final String INPUT_FILE2 = TestTezAutoParallelism.class.getName() + "_2";
private static final String INPUT_DIR = "build/test/data";
private static PigServer pigServer;
private static Properties properties;
private static MiniGenericCluster cluster;
@BeforeClass
public static void oneTimeSetUp() throws Exception {
cluster = MiniGenericCluster.buildCluster(MiniGenericCluster.EXECTYPE_TEZ);
properties = cluster.getProperties();
createFiles();
}
@AfterClass
public static void oneTimeTearDown() throws Exception {
deleteFiles();
cluster.shutDown();
}
@Before
public void setUp() throws Exception {
pigServer = new PigServer(MiniGenericCluster.EXECTYPE_TEZ, properties);
}
@After
public void tearDown() throws Exception {
pigServer.shutdown();
pigServer = null;
}
private static void createFiles() throws IOException {
new File(INPUT_DIR).mkdir();
PrintWriter w = new PrintWriter(new FileWriter(INPUT_DIR + "/" + INPUT_FILE1));
String boyNames[] = {"Noah", "Liam", "Jacob", "Mason", "William",
"Ethan", "Michael", "Alexander", "Jayden", "Daniel"};
String girlNames[] = {"Sophia", "Emma", "Olivia", "Isabella", "Ava",
"Mia", "Emily", "Abigail", "Madison", "Elizabeth"};
String names[] = new String[boyNames.length + girlNames.length];
for (int i=0;i<boyNames.length;i++) {
names[i] = boyNames[i];
}
for (int i=0;i<girlNames.length;i++) {
names[boyNames.length+i] = girlNames[i];
}
Random rand = new Random(1);
for (int i=0;i<1000;i++) {
w.println(names[rand.nextInt(names.length)] + "\t" + rand.nextInt(18));
}
w.close();
Util.copyFromLocalToCluster(cluster, INPUT_DIR + "/" + INPUT_FILE1, INPUT_FILE1);
w = new PrintWriter(new FileWriter(INPUT_DIR + "/" + INPUT_FILE2));
for (String name : boyNames) {
w.println(name + "\t" + "M");
}
for (String name : girlNames) {
w.println(name + "\t" + "F");
}
w.close();
Util.copyFromLocalToCluster(cluster, INPUT_DIR + "/" + INPUT_FILE2, INPUT_FILE2);
}
private static void deleteFiles() {
Util.deleteDirectory(new File(INPUT_DIR));
}
@Test
public void testGroupBy() throws IOException{
// parallelism is 3 originally, reduce to 1
pigServer.getPigContext().getProperties().setProperty(PigConfiguration.PIG_NO_SPLIT_COMBINATION, "true");
pigServer.getPigContext().getProperties().setProperty(MRConfiguration.MAX_SPLIT_SIZE, "3000");
pigServer.getPigContext().getProperties().setProperty(InputSizeReducerEstimator.BYTES_PER_REDUCER_PARAM,
Long.toString(InputSizeReducerEstimator.DEFAULT_BYTES_PER_REDUCER));
pigServer.registerQuery("A = load '" + INPUT_FILE1 + "' as (name:chararray, age:int);");
pigServer.registerQuery("B = group A by name;");
pigServer.store("B", "output1");
FileSystem fs = cluster.getFileSystem();
FileStatus[] files = fs.listStatus(new Path("output1"), new PathFilter(){
@Override
public boolean accept(Path path) {
if (path.getName().startsWith("part")) {
return true;
}
return false;
}
});
assertEquals(files.length, 1);
}
@Test
public void testOrderbyDecreaseParallelism() throws IOException{
// order by parallelism is 3 originally, reduce to 1
pigServer.getPigContext().getProperties().setProperty(PigConfiguration.PIG_NO_SPLIT_COMBINATION, "true");
pigServer.getPigContext().getProperties().setProperty(MRConfiguration.MAX_SPLIT_SIZE, "3000");
pigServer.getPigContext().getProperties().setProperty(InputSizeReducerEstimator.BYTES_PER_REDUCER_PARAM,
Long.toString(InputSizeReducerEstimator.DEFAULT_BYTES_PER_REDUCER));
pigServer.registerQuery("A = load '" + INPUT_FILE1 + "' as (name:chararray, age:int);");
pigServer.registerQuery("B = group A by name parallel 3;");
pigServer.registerQuery("C = foreach B generate group as name, AVG(A.age) as age;");
pigServer.registerQuery("D = order C by age;");
pigServer.store("D", "output2");
FileSystem fs = cluster.getFileSystem();
FileStatus[] files = fs.listStatus(new Path("output2"), new PathFilter(){
@Override
public boolean accept(Path path) {
if (path.getName().startsWith("part")) {
return true;
}
return false;
}
});
assertEquals(files.length, 1);
}
@Test
public void testOrderbyIncreaseParallelism() throws IOException{
// order by parallelism is 3 originally, increase to 4
pigServer.getPigContext().getProperties().setProperty(PigConfiguration.PIG_NO_SPLIT_COMBINATION, "true");
pigServer.getPigContext().getProperties().setProperty(MRConfiguration.MAX_SPLIT_SIZE, "3000");
pigServer.getPigContext().getProperties().setProperty(InputSizeReducerEstimator.BYTES_PER_REDUCER_PARAM, "1000");
pigServer.registerQuery("A = load '" + INPUT_FILE1 + "' as (name:chararray, age:int);");
pigServer.registerQuery("B = group A by name parallel 3;");
pigServer.registerQuery("C = foreach B generate group as name, AVG(A.age) as age;");
pigServer.registerQuery("D = order C by age;");
pigServer.store("D", "output3");
FileSystem fs = cluster.getFileSystem();
FileStatus[] files = fs.listStatus(new Path("output3"), new PathFilter(){
@Override
public boolean accept(Path path) {
if (path.getName().startsWith("part")) {
return true;
}
return false;
}
});
assertEquals(files.length, 4);
}
@Test
public void testSkewedJoinDecreaseParallelism() throws IOException{
// skewed join parallelism is 4 originally, reduce to 1
pigServer.getPigContext().getProperties().setProperty(PigConfiguration.PIG_NO_SPLIT_COMBINATION, "true");
pigServer.getPigContext().getProperties().setProperty(MRConfiguration.MAX_SPLIT_SIZE, "3000");
pigServer.getPigContext().getProperties().setProperty(InputSizeReducerEstimator.BYTES_PER_REDUCER_PARAM,
Long.toString(InputSizeReducerEstimator.DEFAULT_BYTES_PER_REDUCER));
pigServer.registerQuery("A = load '" + INPUT_FILE1 + "' as (name:chararray, age:int);");
pigServer.registerQuery("B = load '" + INPUT_FILE2 + "' as (name:chararray, gender:chararray);");
pigServer.registerQuery("C = join A by name, B by name using 'skewed';");
pigServer.store("C", "output4");
FileSystem fs = cluster.getFileSystem();
FileStatus[] files = fs.listStatus(new Path("output4"), new PathFilter(){
@Override
public boolean accept(Path path) {
if (path.getName().startsWith("part")) {
return true;
}
return false;
}
});
assertEquals(files.length, 1);
}
@Test
public void testSkewedJoinIncreaseParallelism() throws IOException{
// skewed join parallelism is 3 originally, increase to 5
pigServer.getPigContext().getProperties().setProperty(PigConfiguration.PIG_NO_SPLIT_COMBINATION, "true");
pigServer.getPigContext().getProperties().setProperty(MRConfiguration.MAX_SPLIT_SIZE, "3000");
pigServer.getPigContext().getProperties().setProperty(InputSizeReducerEstimator.BYTES_PER_REDUCER_PARAM, "80000");
pigServer.registerQuery("A = load '" + INPUT_FILE1 + "' as (name:chararray, age:int);");
pigServer.registerQuery("B = load '" + INPUT_FILE2 + "' as (name:chararray, gender:chararray);");
pigServer.registerQuery("C = join A by name, B by name using 'skewed';");
pigServer.store("C", "output5");
FileSystem fs = cluster.getFileSystem();
FileStatus[] files = fs.listStatus(new Path("output5"), new PathFilter(){
@Override
public boolean accept(Path path) {
if (path.getName().startsWith("part")) {
return true;
}
return false;
}
});
assertEquals(files.length, 4);
}
@Test
public void testSkewedJoinIncreaseIntermediateParallelism() throws IOException{
NodeIdGenerator.reset();
PigServer.resetScope();
StringWriter writer = new StringWriter();
// When there is a combiner operation involved user specified parallelism is overriden
Util.createLogAppender(ParallelismSetter.class, "testSkewedJoinIncreaseIntermediateParallelism", writer);
try {
pigServer.getPigContext().getProperties().setProperty(PigConfiguration.PIG_NO_SPLIT_COMBINATION, "true");
pigServer.getPigContext().getProperties().setProperty(MRConfiguration.MAX_SPLIT_SIZE, "4000");
pigServer.getPigContext().getProperties().setProperty(InputSizeReducerEstimator.BYTES_PER_REDUCER_PARAM, "80000");
pigServer.registerQuery("A = load '" + INPUT_FILE1 + "' as (name:chararray, age:int);");
pigServer.registerQuery("B = load '" + INPUT_FILE2 + "' as (name:chararray, gender:chararray);");
pigServer.registerQuery("C = join A by name, B by name using 'skewed' parallel 1;");
pigServer.registerQuery("D = group C by A::name;");
pigServer.registerQuery("E = foreach D generate group, COUNT(C.A::name);");
Iterator<Tuple> iter = pigServer.openIterator("E");
List<Tuple> expectedResults = Util
.getTuplesFromConstantTupleStrings(new String[] {
"('Abigail',56L)", "('Alexander',45L)", "('Ava',60L)",
"('Daniel',68L)", "('Elizabeth',42L)",
"('Emily',57L)", "('Emma',50L)", "('Ethan',50L)",
"('Isabella',43L)", "('Jacob',43L)", "('Jayden',59L)",
"('Liam',46L)", "('Madison',46L)", "('Mason',54L)",
"('Mia',51L)", "('Michael',47L)", "('Noah',38L)",
"('Olivia',50L)", "('Sophia',52L)", "('William',43L)" });
Util.checkQueryOutputsAfterSort(iter, expectedResults);
assertTrue(writer.toString().contains("Increased requested parallelism of scope-40 to 4"));
} finally {
Util.removeLogAppender(ParallelismSetter.class, "testSkewedJoinIncreaseIntermediateParallelism");
}
}
}