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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.test;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertTrue;
import java.io.File;
import java.lang.reflect.Method;
import java.net.URI;
import java.util.Iterator;
import java.util.Random;
import org.junit.Assert;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.HBaseTestingUtility;
import org.apache.hadoop.hbase.HConstants;
import org.apache.hadoop.hbase.MiniHBaseCluster;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.mapred.jobcontrol.Job;
import org.apache.hadoop.mapred.jobcontrol.JobControl;
import org.apache.pig.PigServer;
import org.apache.pig.backend.executionengine.ExecException;
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.MapReduceOper;
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.POLoad;
import org.apache.pig.impl.PigContext;
import org.apache.pig.impl.io.FileLocalizer;
import org.apache.pig.impl.util.ConfigurationValidator;
import org.apache.pig.test.utils.GenPhyOp;
import org.junit.After;
import org.junit.AfterClass;
import org.junit.Assume;
import org.junit.Before;
import org.junit.Ignore;
import org.junit.Test;
@Ignore
abstract public class TestJobSubmission {
static PigContext pc;
String ldFile;
String expFile;
PhysicalPlan php = new PhysicalPlan();
String stFile;
String hadoopLdFile;
String grpName;
Random r = new Random();
String curDir;
String inpDir;
String golDir;
static MiniGenericCluster cluster = null;
public static void oneTimeSetUp() throws Exception {
cluster = MiniGenericCluster.buildCluster();
pc = new PigContext(cluster.getExecType(), cluster.getProperties());
try {
pc.connect();
} catch (ExecException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
GenPhyOp.setPc(pc);
Util.copyFromLocalToCluster(cluster, "test/org/apache/pig/test/data/passwd", "/passwd");
}
@Before
public void setUp() throws Exception{
curDir = System.getProperty("user.dir");
inpDir = curDir + File.separatorChar + "test/org/apache/pig/test/data/InputFiles/";
golDir = curDir + File.separatorChar + "test/org/apache/pig/test/data/GoldenFiles/";
if (Util.WINDOWS) {
inpDir="/"+FileLocalizer.parseCygPath(inpDir, FileLocalizer.STYLE_WINDOWS);
golDir="/"+FileLocalizer.parseCygPath(golDir, FileLocalizer.STYLE_WINDOWS);
}
}
@After
public void tearDown() throws Exception {
}
@AfterClass
public static void oneTimeTearDown() throws Exception {
if (cluster!=null) {
cluster.shutDown();
}
}
@Test
public void testJobControlCompilerErr() throws Exception {
String query = "a = load '/passwd' as (a1:bag{(t:chararray)});" + "b = order a by a1;" + "store b into 'output';";
PigServer pigServer = new PigServer(cluster.getExecType(), cluster.getProperties());
PhysicalPlan pp = Util.buildPp(pigServer, query);
checkJobControlCompilerErrResult(pp, pc);
}
abstract protected void checkJobControlCompilerErrResult(PhysicalPlan pp, PigContext pc) throws Exception;
@Test
public void testDefaultParallel() throws Throwable {
pc.defaultParallel = 100;
String query = "a = load '/passwd';" + "b = group a by $0;" + "store b into 'output';";
PigServer ps = new PigServer(cluster.getExecType(), cluster.getProperties());
PhysicalPlan pp = Util.buildPp(ps, query);
checkDefaultParallelResult(pp, pc);
pc.defaultParallel = -1;
}
abstract protected void checkDefaultParallelResult(PhysicalPlan pp, PigContext pc) throws Exception;
@Test
public void testDefaultParallelInSort() throws Throwable {
// default_parallel is considered only at runtime, so here we only test requested parallel
// more thorough tests can be found in TestNumberOfReducers.java
String query = "a = load 'input';" + "b = order a by $0 parallel 100;" + "store b into 'output';";
PigServer ps = new PigServer(cluster.getExecType(), cluster.getProperties());
PhysicalPlan pp = Util.buildPp(ps, query);
MROperPlan mrPlan = Util.buildMRPlan(pp, pc);
// Get the sort job
Iterator<MapReduceOper> iter = mrPlan.getKeys().values().iterator();
int counter = 0;
while (iter.hasNext()) {
MapReduceOper op = iter.next();
counter++;
if (op.isGlobalSort()) {
assertTrue(op.getRequestedParallelism()==100);
}
}
assertEquals(3, counter);
pc.defaultParallel = -1;
}
@Test
public void testDefaultParallelInSkewJoin() throws Throwable {
// default_parallel is considered only at runtime, so here we only test requested parallel
// more thorough tests can be found in TestNumberOfReducers.java
String query = "a = load 'input';" +
"b = load 'input';" +
"c = join a by $0, b by $0 using 'skewed' parallel 100;" +
"store c into 'output';";
PigServer ps = new PigServer(cluster.getExecType(), cluster.getProperties());
PhysicalPlan pp = Util.buildPp(ps, query);
MROperPlan mrPlan = Util.buildMRPlan(pp, pc);
// Get the skew join job
Iterator<MapReduceOper> iter = mrPlan.getKeys().values().iterator();
int counter = 0;
while (iter.hasNext()) {
MapReduceOper op = iter.next();
counter++;
if (op.isSkewedJoin()) {
assertTrue(op.getRequestedParallelism()==100);
}
}
assertEquals(3, counter);
pc.defaultParallel = -1;
}
@Test
public void testReducerNumEstimation() throws Exception{
// Skip the test for Tez. Tez use a different mechanism.
// Equivalent test is in TestTezAutoParallelism
Assume.assumeTrue("Skip this test for TEZ",
Util.isMapredExecType(cluster.getExecType()));
// use the estimation
Configuration conf = HBaseConfiguration.create(new Configuration());
HBaseTestingUtility util = new HBaseTestingUtility(conf);
int clientPort = util.startMiniZKCluster().getClientPort();
util.startMiniHBaseCluster(1, 1);
String query = "a = load '/passwd';" +
"b = group a by $0;" +
"store b into 'output';";
PigServer ps = new PigServer(cluster.getExecType(), cluster.getProperties());
PhysicalPlan pp = Util.buildPp(ps, query);
MROperPlan mrPlan = Util.buildMRPlan(pp, pc);
pc.getConf().setProperty("pig.exec.reducers.bytes.per.reducer", "100");
pc.getConf().setProperty("pig.exec.reducers.max", "10");
pc.getConf().setProperty(HConstants.ZOOKEEPER_CLIENT_PORT, Integer.toString(clientPort));
ConfigurationValidator.validatePigProperties(pc.getProperties());
conf = ConfigurationUtil.toConfiguration(pc.getProperties());
JobControlCompiler jcc = new JobControlCompiler(pc, conf);
JobControl jc=jcc.compile(mrPlan, "Test");
Job job = jc.getWaitingJobs().get(0);
long reducer=Math.min((long)Math.ceil(new File("test/org/apache/pig/test/data/passwd").length()/100.0), 10);
Util.assertParallelValues(-1, -1, reducer, reducer, job.getJobConf());
// use the PARALLEL key word, it will override the estimated reducer number
query = "a = load '/passwd';" +
"b = group a by $0 PARALLEL 2;" +
"store b into 'output';";
pp = Util.buildPp(ps, query);
mrPlan = Util.buildMRPlan(pp, pc);
pc.getConf().setProperty("pig.exec.reducers.bytes.per.reducer", "100");
pc.getConf().setProperty("pig.exec.reducers.max", "10");
ConfigurationValidator.validatePigProperties(pc.getProperties());
conf = ConfigurationUtil.toConfiguration(pc.getProperties());
jcc = new JobControlCompiler(pc, conf);
jc=jcc.compile(mrPlan, "Test");
job = jc.getWaitingJobs().get(0);
Util.assertParallelValues(-1, 2, -1, 2, job.getJobConf());
final byte[] COLUMNFAMILY = Bytes.toBytes("pig");
util.createTable(Bytes.toBytesBinary("test_table"), COLUMNFAMILY);
// the estimation won't take effect when it apply to non-dfs or the files doesn't exist, such as hbase
query = "a = load 'hbase://test_table' using org.apache.pig.backend.hadoop.hbase.HBaseStorage('c:f1 c:f2');" +
"b = group a by $0 ;" +
"store b into 'output';";
pp = Util.buildPp(ps, query);
mrPlan = Util.buildMRPlan(pp, pc);
pc.getConf().setProperty("pig.exec.reducers.bytes.per.reducer", "100");
pc.getConf().setProperty("pig.exec.reducers.max", "10");
ConfigurationValidator.validatePigProperties(pc.getProperties());
conf = ConfigurationUtil.toConfiguration(pc.getProperties());
jcc = new JobControlCompiler(pc, conf);
jc=jcc.compile(mrPlan, "Test");
job = jc.getWaitingJobs().get(0);
Util.assertParallelValues(-1, -1, 1, 1, job.getJobConf());
util.deleteTable(Bytes.toBytesBinary("test_table"));
// In HBase 0.90.1 and above we can use util.shutdownMiniHBaseCluster()
// here instead.
MiniHBaseCluster hbc = util.getHBaseCluster();
if (hbc != null) {
hbc.shutdown();
hbc.join();
}
util.shutdownMiniZKCluster();
}
@Test
public void testReducerNumEstimationForOrderBy() throws Exception{
// Skip the test for Tez. Tez use a different mechanism.
// Equivalent test is in TestTezAutoParallelism
Assume.assumeTrue("Skip this test for TEZ",
Util.isMapredExecType(cluster.getExecType()));
// use the estimation
pc.getProperties().setProperty("pig.exec.reducers.bytes.per.reducer", "100");
pc.getProperties().setProperty("pig.exec.reducers.max", "10");
String query = "a = load '/passwd';" +
"b = order a by $0;" +
"store b into 'output';";
PigServer ps = new PigServer(cluster.getExecType(), cluster.getProperties());
PhysicalPlan pp = Util.buildPp(ps, query);
MROperPlan mrPlan = Util.buildMRPlanWithOptimizer(pp, pc);
Configuration conf = ConfigurationUtil.toConfiguration(pc.getProperties());
JobControlCompiler jcc = new JobControlCompiler(pc, conf);
JobControl jobControl = jcc.compile(mrPlan, query);
assertEquals(2, mrPlan.size());
// first job uses a single reducer for the sampling
Util.assertParallelValues(-1, 1, -1, 1, jobControl.getWaitingJobs().get(0).getJobConf());
// Simulate the first job having run so estimation kicks in.
MapReduceOper sort = mrPlan.getLeaves().get(0);
jcc.updateMROpPlan(jobControl.getReadyJobs());
FileLocalizer.create(sort.getQuantFile(), pc);
jobControl = jcc.compile(mrPlan, query);
sort = mrPlan.getLeaves().get(0);
long reducer=Math.min((long)Math.ceil(new File("test/org/apache/pig/test/data/passwd").length()/100.0), 10);
assertEquals(reducer, sort.getRequestedParallelism());
// the second job estimates reducers
Util.assertParallelValues(-1, -1, reducer, reducer, jobControl.getWaitingJobs().get(0).getJobConf());
// use the PARALLEL key word, it will override the estimated reducer number
query = "a = load '/passwd';" + "b = order a by $0 PARALLEL 2;" +
"store b into 'output';";
pp = Util.buildPp(ps, query);
mrPlan = Util.buildMRPlanWithOptimizer(pp, pc);
assertEquals(2, mrPlan.size());
sort = mrPlan.getLeaves().get(0);
assertEquals(2, sort.getRequestedParallelism());
// the estimation won't take effect when it apply to non-dfs or the files doesn't exist, such as hbase
query = "a = load 'hbase://passwd' using org.apache.pig.backend.hadoop.hbase.HBaseStorage('c:f1 c:f2');" +
"b = order a by $0 ;" +
"store b into 'output';";
pp = Util.buildPp(ps, query);
mrPlan = Util.buildMRPlanWithOptimizer(pp, pc);
assertEquals(2, mrPlan.size());
sort = mrPlan.getLeaves().get(0);
// the requested parallel will be -1 if users don't set any of default_parallel, paralllel
// and the estimation doesn't take effect. MR framework will finally set it to 1.
assertEquals(-1, sort.getRequestedParallelism());
// test order by with three jobs (after optimization)
query = "a = load '/passwd';" +
"b = foreach a generate $0, $1, $2;" +
"c = order b by $0;" +
"store c into 'output';";
pp = Util.buildPp(ps, query);
mrPlan = Util.buildMRPlanWithOptimizer(pp, pc);
assertEquals(3, mrPlan.size());
// Simulate the first 2 jobs having run so estimation kicks in.
sort = mrPlan.getLeaves().get(0);
FileLocalizer.create(sort.getQuantFile(), pc);
jobControl = jcc.compile(mrPlan, query);
Util.copyFromLocalToCluster(cluster, "test/org/apache/pig/test/data/passwd", ((POLoad) sort.mapPlan.getRoots().get(0)).getLFile().getFileName());
//First job is just foreach with projection, mapper-only job, so estimate gets ignored
Util.assertParallelValues(-1, -1, -1, 0, jobControl.getWaitingJobs().get(0).getJobConf());
jcc.updateMROpPlan(jobControl.getReadyJobs());
jobControl = jcc.compile(mrPlan, query);
jcc.updateMROpPlan(jobControl.getReadyJobs());
//Second job is a sampler, which requests and gets 1 reducer
Util.assertParallelValues(-1, 1, -1, 1, jobControl.getWaitingJobs().get(0).getJobConf());
jobControl = jcc.compile(mrPlan, query);
sort = mrPlan.getLeaves().get(0);
assertEquals(reducer, sort.getRequestedParallelism());
//Third job is the order, which uses the estimated number of reducers
Util.assertParallelValues(-1, -1, reducer, reducer, jobControl.getWaitingJobs().get(0).getJobConf());
}
@Test
public void testToUri() throws Exception {
Class<JobControlCompiler> jobControlCompilerClass = JobControlCompiler.class;
Method toURIMethod = jobControlCompilerClass.getDeclaredMethod("toURI", Path.class);
toURIMethod.setAccessible(true);
Path p1 = new Path("/tmp/temp-1510081022/tmp-1308657145#pigsample_1889145873_1351808882314");
URI uri1 = (URI)toURIMethod.invoke(null, p1);
Assert.assertEquals(uri1.toString(), "/tmp/temp-1510081022/tmp-1308657145#pigsample_1889145873_1351808882314");
Path p2 = new Path("C:/Program Files/GnuWin32/bin/head.exe#pigsample_1889145873_1351808882314");
URI uri2 = (URI)toURIMethod.invoke(null, p2);
Assert.assertTrue(uri2.toString().equals("C:/Program%20Files/GnuWin32/bin/head.exe#pigsample_1889145873_1351808882314")||
uri2.toString().equals("/C:/Program%20Files/GnuWin32/bin/head.exe#pigsample_1889145873_1351808882314"));
}
}