| /* |
| * 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 static org.junit.Assert.assertTrue; |
| |
| import java.io.File; |
| import java.util.Iterator; |
| import java.util.Random; |
| |
| import org.apache.hadoop.conf.Configuration; |
| import org.apache.hadoop.hbase.HBaseTestingUtility; |
| 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.ExecType; |
| 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.JobCreationException; |
| 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.PhysicalOperator; |
| import org.apache.pig.backend.hadoop.executionengine.physicalLayer.plans.PhysicalPlan; |
| import org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POLoad; |
| import org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POPackage; |
| import org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POStore; |
| import org.apache.pig.data.DataType; |
| 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.Before; |
| import org.junit.BeforeClass; |
| import org.junit.Test; |
| |
| 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 MiniCluster cluster = MiniCluster.buildCluster(); |
| |
| @BeforeClass |
| public static void onetimeSetUp() throws Exception { |
| pc = new PigContext(ExecType.MAPREDUCE, 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"); |
| |
| Configuration conf = cluster.getConfiguration(); |
| |
| } |
| |
| @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 { |
| cluster.shutDown(); |
| } |
| |
| /* private void generateInput(int numTuples) throws ExecException{ |
| |
| DataBag inpDb = GenRandomData.genRandSmallTupDataBag(r, numTuples, 1000); |
| |
| POProject proj = new POProject(new OperatorKey("", r.nextLong())); |
| Tuple t = new DefaultTuple(); |
| t.append(inpDb); |
| proj.attachInput(t); |
| proj.setColumn(0); |
| proj.setOverloaded(true); |
| proj.setResultType(DataType.TUPLE); |
| |
| List<PhysicalOperator> inps = new ArrayList<PhysicalOperator>(); |
| inps.add(proj); |
| |
| POStore str = new POStore(new OperatorKey("", r.nextLong())); |
| str.setInputs(inps); |
| |
| FileSpec fSpec = new FileSpec(ldFile, new FuncSpec(PigStorage.class.getName())); |
| |
| str.setSFile(fSpec); |
| str.setPc(pc); |
| str.store(); |
| } |
| |
| private void setUp1(boolean gen) throws Exception { |
| ldFile = "file:" + inpDir + "jsTst1.txt"; |
| expFile = ldFile; |
| stFile = "jsTst1"; |
| grpName = "jobSubTst1"; |
| |
| if(gen){ |
| generateInput(100); |
| return; |
| } |
| |
| hadoopLdFile = FileLocalizer.hadoopify(ldFile, pc); |
| |
| FileSpec LFSpec = new FileSpec(hadoopLdFile,new FuncSpec(PigStorage.class.getName())); |
| FileSpec SFSpec = new FileSpec(stFile, new FuncSpec(PigStorage.class.getName())); |
| |
| POLoad ld = new POLoad(new OperatorKey("", r.nextLong()), true); |
| POStore st = new POStore(new OperatorKey("", r.nextLong())); |
| ld.setPc(pc); |
| ld.setLFile(LFSpec); |
| st.setPc(pc); |
| st.setSFile(SFSpec); |
| |
| php.add(ld); |
| php.add(st); |
| php.connect(ld, st); |
| } |
| |
| // @Test |
| public void testCompile1() throws Exception { |
| boolean gen = false; |
| |
| setUp1(gen); |
| |
| if(gen) |
| return; |
| |
| submit(); |
| |
| assertEquals(true, FileLocalizer.fileExists(stFile, pc)); |
| |
| FileSpec fSpecExp = new FileSpec(expFile, new FuncSpec(PigStorage.class.getName())); |
| FileSpec fSpecAct = new FileSpec(stFile, new FuncSpec(PigStorage.class.getName())); |
| |
| assertEquals(true, TestHelper.areFilesSame(fSpecExp, fSpecAct, pc)); |
| } |
| |
| private void setUp2(boolean gen) throws Exception { |
| ldFile = "file:" + inpDir + "jsTst2.txt"; |
| expFile = ldFile; |
| stFile = "jsTst2"; |
| grpName = "jobSubTst2"; |
| |
| if(gen){ |
| generateInput(1000); |
| return; |
| } |
| |
| hadoopLdFile = FileLocalizer.hadoopify(ldFile, pc); |
| |
| FileSpec LFSpec = new FileSpec(hadoopLdFile, new FuncSpec(PigStorage.class.getName())); |
| FileSpec SFSpec = new FileSpec(stFile,new FuncSpec(PigStorage.class.getName())); |
| |
| POLoad ld = new POLoad(new OperatorKey("", r.nextLong()), true); |
| POStore st = new POStore(new OperatorKey("", r.nextLong())); |
| ld.setPc(pc); |
| ld.setLFile(LFSpec); |
| st.setPc(pc); |
| st.setSFile(SFSpec); |
| |
| php.add(ld); |
| php.add(st); |
| php.connect(ld, st); |
| } |
| |
| // @Test |
| public void testCompile2() throws Exception { |
| boolean gen = false; |
| |
| setUp2(gen); |
| |
| if(gen) |
| return; |
| |
| submit(); |
| |
| assertEquals(true, FileLocalizer.fileExists(stFile, pc)); |
| |
| FileSpec fSpecExp = new FileSpec(expFile,new FuncSpec(PigStorage.class.getName())); |
| FileSpec fSpecAct = new FileSpec(stFile,new FuncSpec(PigStorage.class.getName())); |
| |
| assertEquals(true, TestHelper.areFilesSame(fSpecExp, fSpecAct, pc)); |
| } |
| |
| private void setUp3(boolean gen) throws Exception { |
| ldFile = "file:" + inpDir + "jsTst1.txt"; |
| expFile = "file:" + golDir + "jsTst3"; |
| stFile = "jsTst3"; |
| grpName = "jobSubTst3"; |
| |
| if(gen){ |
| generateInput(1000); |
| return; |
| } |
| |
| hadoopLdFile = FileLocalizer.hadoopify(ldFile, pc); |
| |
| FileSpec LFSpec = new FileSpec(hadoopLdFile, new FuncSpec(PigStorage.class.getName())); |
| FileSpec SFSpec = new FileSpec(stFile, new FuncSpec(PigStorage.class.getName())); |
| |
| POLoad ld = new POLoad(new OperatorKey("", r.nextLong()), true); |
| POStore st = new POStore(new OperatorKey("", r.nextLong())); |
| ld.setPc(pc); |
| ld.setLFile(LFSpec); |
| st.setPc(pc); |
| st.setSFile(SFSpec); |
| |
| int[] flds = {0,1}; |
| Tuple sample = new DefaultTuple(); |
| sample.append(new String("S")); |
| sample.append(new Integer("10")); |
| |
| POForEach fe = GenPhyOp.topForEachOPWithPlan(flds , sample); |
| |
| POFilter fl = GenPhyOp.topFilterOpWithProj(1, 500, GenPhyOp.LT); |
| |
| php.add(ld); |
| php.add(fe); |
| php.connect(ld, fe); |
| |
| php.add(fl); |
| php.connect(fe, fl); |
| |
| php.add(st); |
| php.connect(fl, st); |
| } |
| |
| // @Test |
| public void testCompile3() throws Exception { |
| boolean gen = false; |
| |
| setUp3(gen); |
| |
| if(gen) |
| return; |
| |
| submit(); |
| |
| assertEquals(true, FileLocalizer.fileExists(stFile, pc)); |
| |
| FileSpec fSpecExp = new FileSpec(expFile, new FuncSpec(PigStorage.class.getName(), new String[]{","})); |
| FileSpec fSpecAct = new FileSpec(stFile,new FuncSpec(PigStorage.class.getName())); |
| |
| assertEquals(true, TestHelper.areFilesSame(fSpecExp, fSpecAct, pc)); |
| } |
| |
| private void setUp4(boolean gen) throws Exception { |
| ldFile = "file:" + inpDir + "jsTst1.txt"; |
| expFile = "file:" + golDir + "jsTst4"; |
| stFile = "jsTst4"; |
| grpName = "jobSubTst4"; |
| |
| if(gen){ |
| generateInput(1000); |
| return; |
| } |
| |
| hadoopLdFile = FileLocalizer.hadoopify(ldFile, pc); |
| |
| FileSpec LFSpec = new FileSpec(hadoopLdFile,new FuncSpec(PigStorage.class.getName())); |
| FileSpec SFSpec = new FileSpec(stFile,new FuncSpec(PigStorage.class.getName())); |
| |
| POLoad ld = new POLoad(new OperatorKey("", r.nextLong()), true); |
| POStore st = new POStore(new OperatorKey("", r.nextLong())); |
| ld.setPc(pc); |
| ld.setLFile(LFSpec); |
| st.setPc(pc); |
| st.setSFile(SFSpec); |
| |
| POSplit spl = GenPhyOp.topSplitOp(); |
| POFilter fl1 = GenPhyOp.topFilterOpWithProjWithCast(1, 200, GenPhyOp.LT); |
| POFilter fl2 = GenPhyOp.topFilterOpWithProjWithCast(1, 800, GenPhyOp.GT); |
| |
| POUnion un = GenPhyOp.topUnionOp(); |
| |
| php.add(ld); |
| php.add(spl); |
| php.connect(ld, spl); |
| |
| php.add(fl1); |
| php.connect(spl, fl1); |
| |
| php.add(fl2); |
| php.connect(spl, fl2); |
| |
| php.add(un); |
| php.connect(fl1, un); |
| php.connect(fl2, un); |
| |
| php.add(st); |
| php.connect(un, st); |
| } |
| |
| // @Test |
| public void testCompile4() throws Exception { |
| boolean gen = false; |
| |
| setUp4(gen); |
| |
| if(gen) |
| return; |
| |
| submit(); |
| |
| assertEquals(true, FileLocalizer.fileExists(stFile, pc)); |
| |
| FileSpec fSpecExp = new FileSpec(expFile, new FuncSpec(PigStorage.class.getName(), new String[]{","})); |
| FileSpec fSpecAct = new FileSpec(stFile,new FuncSpec(PigStorage.class.getName())); |
| |
| assertEquals(true, TestHelper.areFilesSame(fSpecExp, fSpecAct, pc)); |
| |
| } |
| |
| private void setUp5(boolean gen) throws Exception { |
| ldFile = "file:" + inpDir + "jsTst5.txt"; |
| expFile = ldFile; |
| stFile = "jsTst5"; |
| grpName = "jobSubTst5"; |
| |
| if(gen){ |
| generateInput(1000); |
| return; |
| } |
| |
| hadoopLdFile = FileLocalizer.hadoopify(ldFile, pc); |
| |
| FileSpec LFSpec = new FileSpec(hadoopLdFile, new FuncSpec(PigStorage.class.getName(), new String[]{","})); |
| FileSpec SFSpec = new FileSpec(stFile,new FuncSpec(PigStorage.class.getName())); |
| |
| POLoad ld = new POLoad(new OperatorKey("", r.nextLong()), true); |
| POStore st = new POStore(new OperatorKey("", r.nextLong())); |
| ld.setPc(pc); |
| ld.setLFile(LFSpec); |
| st.setPc(pc); |
| st.setSFile(SFSpec); |
| |
| Tuple sample = new DefaultTuple(); |
| sample.append("S"); |
| sample.append(1); |
| POLocalRearrange lr = GenPhyOp.topLocalRearrangeOPWithPlan(0, 1, sample); |
| |
| POGlobalRearrange gr = GenPhyOp.topGlobalRearrangeOp(); |
| |
| POPackage pk = GenPhyOp.topPackageOp(); |
| pk.setKeyType(DataType.INTEGER); |
| pk.setNumInps(1); |
| boolean[] inner = {false}; |
| pk.setInner(inner); |
| |
| POForEach fe = GenPhyOp.topForEachOPWithPlan(1); |
| |
| php.add(ld); |
| php.add(lr); |
| php.connect(ld, lr); |
| |
| php.add(gr); |
| php.connect(lr, gr); |
| |
| php.add(pk); |
| php.connect(gr, pk); |
| |
| php.add(fe); |
| php.connect(pk, fe); |
| |
| php.add(st); |
| php.connect(fe, st); |
| } |
| |
| @Test |
| public void testCompile5() throws Exception { |
| boolean gen = false; |
| |
| setUp5(gen); |
| |
| if(gen) |
| return; |
| |
| submit(); |
| |
| assertEquals(true, FileLocalizer.fileExists(stFile, pc)); |
| |
| FileSpec fSpecExp = new FileSpec(expFile, new FuncSpec(PigStorage.class.getName(), new String[]{","})); |
| FileSpec fSpecAct = new FileSpec(stFile,new FuncSpec(PigStorage.class.getName())); |
| |
| assertEquals(true, TestHelper.areFilesSame(fSpecExp, fSpecAct, pc)); |
| |
| }*/ |
| |
| @Test |
| public void testJobControlCompilerErr() throws Exception { |
| String query = "a = load 'input';" + "b = order a by $0;" + "store b into 'output';"; |
| PigServer pigServer = new PigServer(ExecType.MAPREDUCE, cluster.getProperties()); |
| PhysicalPlan pp = Util.buildPp(pigServer, query); |
| POStore store = GenPhyOp.dummyPigStorageOp(); |
| pp.addAsLeaf(store); |
| MROperPlan mrPlan = Util.buildMRPlan(pp, pc); |
| |
| for(MapReduceOper mro: mrPlan.getLeaves()) { |
| if(mro.reducePlan != null) { |
| PhysicalOperator po = mro.reducePlan.getRoots().get(0); |
| if(po instanceof POPackage) { |
| ((POPackage)po).setKeyType(DataType.BAG); |
| mro.setGlobalSort(true); |
| } |
| } |
| } |
| |
| ConfigurationValidator.validatePigProperties(pc.getProperties()); |
| Configuration conf = ConfigurationUtil.toConfiguration(pc.getProperties()); |
| JobControlCompiler jcc = new JobControlCompiler(pc, conf); |
| try { |
| jcc.compile(mrPlan, "Test"); |
| } catch (JobCreationException jce) { |
| assertTrue(jce.getErrorCode() == 1068); |
| } |
| } |
| |
| @Test |
| public void testDefaultParallel() throws Throwable { |
| pc.defaultParallel = 100; |
| |
| String query = "a = load 'input';" + "b = group a by $0;" + "store b into 'output';"; |
| PigServer ps = new PigServer(ExecType.MAPREDUCE, cluster.getProperties()); |
| PhysicalPlan pp = Util.buildPp(ps, 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(100, parallel); |
| Util.assertParallelValues(100, -1, -1, 100, job.getJobConf()); |
| |
| pc.defaultParallel = -1; |
| } |
| |
| @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(ExecType.MAPREDUCE, 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(ExecType.MAPREDUCE, 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 this test for 23 until HBASE-4850 |
| if (Util.isHadoop23() || Util.isHadoop2_0()) |
| return; |
| // use the estimation |
| Configuration conf = cluster.getConfiguration(); |
| HBaseTestingUtility util = new HBaseTestingUtility(conf); |
| util.startMiniZKCluster(); |
| util.startMiniHBaseCluster(1, 1); |
| |
| String query = "a = load '/passwd';" + |
| "b = group a by $0;" + |
| "store b into 'output';"; |
| PigServer ps = new PigServer(ExecType.MAPREDUCE, 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"); |
| 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{ |
| // 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(ExecType.MAPREDUCE, 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, reducer, 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()); |
| } |
| } |
