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Posted to commits@pig.apache.org by th...@apache.org on 2012/08/24 02:18:09 UTC
svn commit: r1376800 [2/6] - in /pig/trunk: ./ .eclipse.templates/ conf/
contrib/piggybank/java/src/main/java/org/apache/pig/piggybank/storage/
contrib/zebra/src/java/org/apache/hadoop/zebra/pig/
contrib/zebra/src/java/org/apache/hadoop/zebra/pig/compa...
Added: pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/mapReduceLayer/JobControlCompiler.java.orig
URL: http://svn.apache.org/viewvc/pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/mapReduceLayer/JobControlCompiler.java.orig?rev=1376800&view=auto
==============================================================================
--- pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/mapReduceLayer/JobControlCompiler.java.orig (added)
+++ pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/mapReduceLayer/JobControlCompiler.java.orig Fri Aug 24 00:18:05 2012
@@ -0,0 +1,1525 @@
+/*
+ * 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 java.io.File;
+import java.io.FileOutputStream;
+import java.io.IOException;
+import java.io.OutputStream;
+import java.net.URI;
+import java.net.URISyntaxException;
+import java.net.URL;
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.HashMap;
+import java.util.LinkedList;
+import java.util.List;
+import java.util.Map;
+import java.util.Properties;
+
+import org.apache.commons.logging.Log;
+import org.apache.commons.logging.LogFactory;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.filecache.DistributedCache;
+import org.apache.hadoop.fs.FileStatus;
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.io.IOUtils;
+import org.apache.hadoop.io.WritableComparable;
+import org.apache.hadoop.io.WritableComparator;
+import org.apache.hadoop.mapred.JobConf;
+import org.apache.hadoop.mapred.JobPriority;
+import org.apache.hadoop.mapred.jobcontrol.Job;
+import org.apache.hadoop.mapred.jobcontrol.JobControl;
+import org.apache.pig.ComparisonFunc;
+import org.apache.pig.ExecType;
+import org.apache.pig.LoadFunc;
+import org.apache.pig.PigException;
+import org.apache.pig.StoreFuncInterface;
+import org.apache.pig.backend.executionengine.ExecException;
+import org.apache.pig.backend.hadoop.HDataType;
+import org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.partitioners.SecondaryKeyPartitioner;
+import org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.partitioners.SkewedPartitioner;
+import org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.partitioners.WeightedRangePartitioner;
+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.expressionOperators.ConstantExpression;
+import org.apache.pig.backend.hadoop.executionengine.physicalLayer.expressionOperators.POUserFunc;
+import org.apache.pig.backend.hadoop.executionengine.physicalLayer.plans.PhyPlanVisitor;
+import org.apache.pig.backend.hadoop.executionengine.physicalLayer.plans.PhysicalPlan;
+import org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POFRJoin;
+import org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POLoad;
+import org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POMergeCogroup;
+import org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POMergeJoin;
+import org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POPackage;
+import org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POStore;
+import org.apache.pig.backend.hadoop.executionengine.physicalLayer.util.PlanHelper;
+import org.apache.pig.backend.hadoop.executionengine.shims.HadoopShims;
+import org.apache.pig.data.BagFactory;
+import org.apache.pig.data.DataType;
+import org.apache.pig.data.SchemaTupleFrontend;
+import org.apache.pig.data.Tuple;
+import org.apache.pig.data.TupleFactory;
+import org.apache.pig.impl.PigContext;
+import org.apache.pig.impl.io.FileLocalizer;
+import org.apache.pig.impl.io.FileSpec;
+import org.apache.pig.impl.io.NullableBooleanWritable;
+import org.apache.pig.impl.io.NullableBytesWritable;
+import org.apache.pig.impl.io.NullableDoubleWritable;
+import org.apache.pig.impl.io.NullableFloatWritable;
+import org.apache.pig.impl.io.NullableIntWritable;
+import org.apache.pig.impl.io.NullableLongWritable;
+import org.apache.pig.impl.io.NullablePartitionWritable;
+import org.apache.pig.impl.io.NullableText;
+import org.apache.pig.impl.io.NullableTuple;
+import org.apache.pig.impl.io.PigNullableWritable;
+import org.apache.pig.impl.plan.DepthFirstWalker;
+import org.apache.pig.impl.plan.OperatorKey;
+import org.apache.pig.impl.plan.VisitorException;
+import org.apache.pig.impl.util.JarManager;
+import org.apache.pig.impl.util.ObjectSerializer;
+import org.apache.pig.impl.util.Pair;
+import org.apache.pig.impl.util.UDFContext;
+import org.apache.pig.impl.util.Utils;
+import org.apache.pig.tools.pigstats.ScriptState;
+
+/**
+ * This is compiler class that takes an MROperPlan and converts
+ * it into a JobControl object with the relevant dependency info
+ * maintained. The JobControl Object is made up of Jobs each of
+ * which has a JobConf. The MapReduceOper corresponds to a Job
+ * and the getJobCong method returns the JobConf that is configured
+ * as per the MapReduceOper
+ *
+ * <h2>Comparator Design</h2>
+ * <p>
+ * A few words on how comparators are chosen. In almost all cases we use raw
+ * comparators (the one exception being when the user provides a comparison
+ * function for order by). For order by queries the PigTYPERawComparator
+ * functions are used, where TYPE is Int, Long, etc. These comparators are
+ * null aware and asc/desc aware. The first byte of each of the
+ * NullableTYPEWritable classes contains info on whether the value is null.
+ * Asc/desc is written as an array into the JobConf with the key pig.sortOrder
+ * so that it can be read by each of the comparators as part of their
+ * setConf call.
+ * <p>
+ * For non-order by queries, PigTYPEWritableComparator classes are used.
+ * These are all just type specific instances of WritableComparator.
+ *
+ */
+public class JobControlCompiler{
+ MROperPlan plan;
+ Configuration conf;
+ PigContext pigContext;
+
+ private static final Log log = LogFactory.getLog(JobControlCompiler.class);
+
+ public static final String LOG_DIR = "_logs";
+
+ public static final String END_OF_INP_IN_MAP = "pig.invoke.close.in.map";
+
+ private static final String REDUCER_ESTIMATOR_KEY = "pig.exec.reducer.estimator";
+ private static final String REDUCER_ESTIMATOR_ARG_KEY = "pig.exec.reducer.estimator.arg";
+
+ /**
+ * We will serialize the POStore(s) present in map and reduce in lists in
+ * the Hadoop Conf. In the case of Multi stores, we could deduce these from
+ * the map plan and reduce plan but in the case of single store, we remove
+ * the POStore from the plan - in either case, we serialize the POStore(s)
+ * so that PigOutputFormat and PigOutputCommiter can get the POStore(s) in
+ * the same way irrespective of whether it is multi store or single store.
+ */
+ public static final String PIG_MAP_STORES = "pig.map.stores";
+ public static final String PIG_REDUCE_STORES = "pig.reduce.stores";
+
+ // A mapping of job to pair of store locations and tmp locations for that job
+ private Map<Job, Pair<List<POStore>, Path>> jobStoreMap;
+
+ private Map<Job, MapReduceOper> jobMroMap;
+
+ public JobControlCompiler(PigContext pigContext, Configuration conf) throws IOException {
+ this.pigContext = pigContext;
+ this.conf = conf;
+ jobStoreMap = new HashMap<Job, Pair<List<POStore>, Path>>();
+ jobMroMap = new HashMap<Job, MapReduceOper>();
+ }
+
+ /**
+ * Returns all store locations of a previously compiled job
+ */
+ public List<POStore> getStores(Job job) {
+ Pair<List<POStore>, Path> pair = jobStoreMap.get(job);
+ if (pair != null && pair.first != null) {
+ return pair.first;
+ } else {
+ return new ArrayList<POStore>();
+ }
+ }
+
+ /**
+ * Resets the state
+ */
+ public void reset() {
+ jobStoreMap = new HashMap<Job, Pair<List<POStore>, Path>>();
+ jobMroMap = new HashMap<Job, MapReduceOper>();
+ UDFContext.getUDFContext().reset();
+ }
+
+ /**
+ * Gets the map of Job and the MR Operator
+ */
+ public Map<Job, MapReduceOper> getJobMroMap() {
+ return Collections.unmodifiableMap(jobMroMap);
+ }
+
+ /**
+ * Moves all the results of a collection of MR jobs to the final
+ * output directory. Some of the results may have been put into a
+ * temp location to work around restrictions with multiple output
+ * from a single map reduce job.
+ *
+ * This method should always be called after the job execution
+ * completes.
+ */
+ public void moveResults(List<Job> completedJobs) throws IOException {
+ for (Job job: completedJobs) {
+ Pair<List<POStore>, Path> pair = jobStoreMap.get(job);
+ if (pair != null && pair.second != null) {
+ Path tmp = pair.second;
+ Path abs = new Path(tmp, "abs");
+ Path rel = new Path(tmp, "rel");
+ FileSystem fs = tmp.getFileSystem(conf);
+
+ if (fs.exists(abs)) {
+ moveResults(abs, abs.toUri().getPath(), fs);
+ }
+
+ if (fs.exists(rel)) {
+ moveResults(rel, rel.toUri().getPath()+"/", fs);
+ }
+ }
+ }
+ }
+
+ /**
+ * Walks the temporary directory structure to move (rename) files
+ * to their final location.
+ */
+ private void moveResults(Path p, String rem, FileSystem fs) throws IOException {
+ for (FileStatus fstat: fs.listStatus(p)) {
+ Path src = fstat.getPath();
+ if (fstat.isDir()) {
+ log.info("mkdir: "+src);
+ fs.mkdirs(removePart(src, rem));
+ moveResults(fstat.getPath(), rem, fs);
+ } else {
+ Path dst = removePart(src, rem);
+ log.info("mv: "+src+" "+dst);
+ fs.rename(src,dst);
+ }
+ }
+ }
+
+ private Path removePart(Path src, String part) {
+ URI uri = src.toUri();
+ String pathStr = uri.getPath().replace(part, "");
+ return new Path(pathStr);
+ }
+
+ /**
+ * Compiles all jobs that have no dependencies removes them from
+ * the plan and returns. Should be called with the same plan until
+ * exhausted.
+ * @param plan - The MROperPlan to be compiled
+ * @param grpName - The name given to the JobControl
+ * @return JobControl object - null if no more jobs in plan
+ * @throws JobCreationException
+ */
+ public JobControl compile(MROperPlan plan, String grpName) throws JobCreationException{
+ // Assert plan.size() != 0
+ this.plan = plan;
+
+ int timeToSleep;
+ String defaultPigJobControlSleep = pigContext.getExecType() == ExecType.LOCAL ? "100" : "5000";
+ String pigJobControlSleep = conf.get("pig.jobcontrol.sleep", defaultPigJobControlSleep);
+ if (!pigJobControlSleep.equals(defaultPigJobControlSleep)) {
+ log.info("overriding default JobControl sleep (" + defaultPigJobControlSleep + ") to " + pigJobControlSleep);
+ }
+
+ try {
+ timeToSleep = Integer.parseInt(pigJobControlSleep);
+ } catch (NumberFormatException e) {
+ throw new RuntimeException("Invalid configuration " +
+ "pig.jobcontrol.sleep=" + pigJobControlSleep +
+ " should be a time in ms. default=" + defaultPigJobControlSleep, e);
+ }
+
+ JobControl jobCtrl = HadoopShims.newJobControl(grpName, timeToSleep);
+
+ try {
+ List<MapReduceOper> roots = new LinkedList<MapReduceOper>();
+ roots.addAll(plan.getRoots());
+ for (MapReduceOper mro: roots) {
+ if(mro instanceof NativeMapReduceOper) {
+ return null;
+ }
+ Job job = getJob(plan, mro, conf, pigContext);
+ jobMroMap.put(job, mro);
+ jobCtrl.addJob(job);
+ }
+ } catch (JobCreationException jce) {
+ throw jce;
+ } catch(Exception e) {
+ int errCode = 2017;
+ String msg = "Internal error creating job configuration.";
+ throw new JobCreationException(msg, errCode, PigException.BUG, e);
+ }
+
+ return jobCtrl;
+ }
+
+ // Update Map-Reduce plan with the execution status of the jobs. If one job
+ // completely fail (the job has only one store and that job fail), then we
+ // remove all its dependent jobs. This method will return the number of MapReduceOper
+ // removed from the Map-Reduce plan
+ public int updateMROpPlan(List<Job> completeFailedJobs)
+ {
+ int sizeBefore = plan.size();
+ for (Job job : completeFailedJobs) // remove all subsequent jobs
+ {
+ MapReduceOper mrOper = jobMroMap.get(job);
+ plan.trimBelow(mrOper);
+ plan.remove(mrOper);
+ }
+
+ // Remove successful jobs from jobMroMap
+ for (Job job : jobMroMap.keySet())
+ {
+ if (!completeFailedJobs.contains(job))
+ {
+ MapReduceOper mro = jobMroMap.get(job);
+ plan.remove(mro);
+ }
+ }
+ jobMroMap.clear();
+ int sizeAfter = plan.size();
+ return sizeBefore-sizeAfter;
+ }
+
+ /**
+ * The method that creates the Job corresponding to a MapReduceOper.
+ * The assumption is that
+ * every MapReduceOper will have a load and a store. The JobConf removes
+ * the load operator and serializes the input filespec so that PigInputFormat can
+ * take over the creation of splits. It also removes the store operator
+ * and serializes the output filespec so that PigOutputFormat can take over
+ * record writing. The remaining portion of the map plan and reduce plans are
+ * serialized and stored for the PigMapReduce or PigMapOnly objects to take over
+ * the actual running of the plans.
+ * The Mapper & Reducer classes and the required key value formats are set.
+ * Checks if this is a map only job and uses PigMapOnly class as the mapper
+ * and uses PigMapReduce otherwise.
+ * If it is a Map Reduce job, it is bound to have a package operator. Remove it from
+ * the reduce plan and serializes it so that the PigMapReduce class can use it to package
+ * the indexed tuples received by the reducer.
+ * @param mro - The MapReduceOper for which the JobConf is required
+ * @param config - the Configuration object from which JobConf is built
+ * @param pigContext - The PigContext passed on from execution engine
+ * @return Job corresponding to mro
+ * @throws JobCreationException
+ */
+ @SuppressWarnings({ "unchecked", "deprecation" })
+ private Job getJob(MROperPlan plan, MapReduceOper mro, Configuration config, PigContext pigContext) throws JobCreationException{
+ org.apache.hadoop.mapreduce.Job nwJob = null;
+
+ try{
+ nwJob = new org.apache.hadoop.mapreduce.Job(config);
+ }catch(Exception e) {
+ throw new JobCreationException(e);
+ }
+
+ Configuration conf = nwJob.getConfiguration();
+
+ ArrayList<FileSpec> inp = new ArrayList<FileSpec>();
+ ArrayList<List<OperatorKey>> inpTargets = new ArrayList<List<OperatorKey>>();
+ ArrayList<String> inpSignatureLists = new ArrayList<String>();
+ ArrayList<Long> inpLimits = new ArrayList<Long>();
+ ArrayList<POStore> storeLocations = new ArrayList<POStore>();
+ Path tmpLocation = null;
+
+ // add settings for pig statistics
+ String setScriptProp = conf.get(ScriptState.INSERT_ENABLED, "true");
+ if (setScriptProp.equalsIgnoreCase("true")) {
+ ScriptState ss = ScriptState.get();
+ ss.addSettingsToConf(mro, conf);
+ }
+
+
+ conf.set("mapred.mapper.new-api", "true");
+ conf.set("mapred.reducer.new-api", "true");
+
+ String buffPercent = conf.get("mapred.job.reduce.markreset.buffer.percent");
+ if (buffPercent == null || Double.parseDouble(buffPercent) <= 0) {
+ log.info("mapred.job.reduce.markreset.buffer.percent is not set, set to default 0.3");
+ conf.set("mapred.job.reduce.markreset.buffer.percent", "0.3");
+ }else{
+ log.info("mapred.job.reduce.markreset.buffer.percent is set to " + conf.get("mapred.job.reduce.markreset.buffer.percent"));
+ }
+
+ // Convert mapred.output.* to output.compression.*, See PIG-1791
+ if( "true".equals( conf.get( "mapred.output.compress" ) ) ) {
+ conf.set( "output.compression.enabled", "true" );
+ String codec = conf.get( "mapred.output.compression.codec" );
+ if( codec == null ) {
+ throw new JobCreationException("'mapred.output.compress' is set but no value is specified for 'mapred.output.compression.codec'." );
+ } else {
+ conf.set( "output.compression.codec", codec );
+ }
+ }
+
+ try{
+
+ //Process the POLoads
+ List<POLoad> lds = PlanHelper.getPhysicalOperators(mro.mapPlan, POLoad.class);
+
+ if(lds!=null && lds.size()>0){
+ for (POLoad ld : lds) {
+ LoadFunc lf = ld.getLoadFunc();
+ lf.setLocation(ld.getLFile().getFileName(), nwJob);
+
+ //Store the inp filespecs
+ inp.add(ld.getLFile());
+ }
+ }
+
+ adjustNumReducers(plan, mro, nwJob);
+
+ if(lds!=null && lds.size()>0){
+ for (POLoad ld : lds) {
+ //Store the target operators for tuples read
+ //from this input
+ List<PhysicalOperator> ldSucs = mro.mapPlan.getSuccessors(ld);
+ List<OperatorKey> ldSucKeys = new ArrayList<OperatorKey>();
+ if(ldSucs!=null){
+ for (PhysicalOperator operator2 : ldSucs) {
+ ldSucKeys.add(operator2.getOperatorKey());
+ }
+ }
+ inpTargets.add(ldSucKeys);
+ inpSignatureLists.add(ld.getSignature());
+ inpLimits.add(ld.getLimit());
+ //Remove the POLoad from the plan
+ if (!pigContext.inIllustrator)
+ mro.mapPlan.remove(ld);
+ }
+ }
+
+ if (!pigContext.inIllustrator && pigContext.getExecType() != ExecType.LOCAL)
+ {
+
+ // Setup the DistributedCache for this job
+ for (URL extraJar : pigContext.extraJars) {
+ log.debug("Adding jar to DistributedCache: " + extraJar.toString());
+ putJarOnClassPathThroughDistributedCache(pigContext, conf, extraJar);
+ }
+
+ //Create the jar of all functions and classes required
+ File submitJarFile = File.createTempFile("Job", ".jar");
+ log.info("creating jar file "+submitJarFile.getName());
+ // ensure the job jar is deleted on exit
+ submitJarFile.deleteOnExit();
+ FileOutputStream fos = new FileOutputStream(submitJarFile);
+ JarManager.createJar(fos, mro.UDFs, pigContext);
+ log.info("jar file "+submitJarFile.getName()+" created");
+ //Start setting the JobConf properties
+ conf.set("mapred.jar", submitJarFile.getPath());
+ }
+ conf.set("pig.inputs", ObjectSerializer.serialize(inp));
+ conf.set("pig.inpTargets", ObjectSerializer.serialize(inpTargets));
+ conf.set("pig.inpSignatures", ObjectSerializer.serialize(inpSignatureLists));
+ conf.set("pig.inpLimits", ObjectSerializer.serialize(inpLimits));
+ conf.set("pig.pigContext", ObjectSerializer.serialize(pigContext));
+ conf.set("udf.import.list", ObjectSerializer.serialize(PigContext.getPackageImportList()));
+ // this is for unit tests since some don't create PigServer
+
+ // if user specified the job name using -D switch, Pig won't reset the name then.
+ if (System.getProperty("mapred.job.name") == null &&
+ pigContext.getProperties().getProperty(PigContext.JOB_NAME) != null){
+ nwJob.setJobName(pigContext.getProperties().getProperty(PigContext.JOB_NAME));
+ }
+
+ if (pigContext.getProperties().getProperty(PigContext.JOB_PRIORITY) != null) {
+ // If the job priority was set, attempt to get the corresponding enum value
+ // and set the hadoop job priority.
+ String jobPriority = pigContext.getProperties().getProperty(PigContext.JOB_PRIORITY).toUpperCase();
+ try {
+ // Allow arbitrary case; the Hadoop job priorities are all upper case.
+ conf.set("mapred.job.priority", JobPriority.valueOf(jobPriority).toString());
+
+ } catch (IllegalArgumentException e) {
+ StringBuffer sb = new StringBuffer("The job priority must be one of [");
+ JobPriority[] priorities = JobPriority.values();
+ for (int i = 0; i < priorities.length; ++i) {
+ if (i > 0) sb.append(", ");
+ sb.append(priorities[i]);
+ }
+ sb.append("]. You specified [" + jobPriority + "]");
+ throw new JobCreationException(sb.toString());
+ }
+ }
+
+ setupDistributedCache(pigContext, nwJob.getConfiguration(), pigContext.getProperties(),
+ "pig.streaming.ship.files", true);
+ setupDistributedCache(pigContext, nwJob.getConfiguration(), pigContext.getProperties(),
+ "pig.streaming.cache.files", false);
+
+ nwJob.setInputFormatClass(PigInputFormat.class);
+
+ //Process POStore and remove it from the plan
+ LinkedList<POStore> mapStores = PlanHelper.getPhysicalOperators(mro.mapPlan, POStore.class);
+ LinkedList<POStore> reduceStores = PlanHelper.getPhysicalOperators(mro.reducePlan, POStore.class);
+
+ for (POStore st: mapStores) {
+ storeLocations.add(st);
+ StoreFuncInterface sFunc = st.getStoreFunc();
+ sFunc.setStoreLocation(st.getSFile().getFileName(), new org.apache.hadoop.mapreduce.Job(nwJob.getConfiguration()));
+ }
+
+ for (POStore st: reduceStores) {
+ storeLocations.add(st);
+ StoreFuncInterface sFunc = st.getStoreFunc();
+ sFunc.setStoreLocation(st.getSFile().getFileName(), new org.apache.hadoop.mapreduce.Job(nwJob.getConfiguration()));
+ }
+
+ // the OutputFormat we report to Hadoop is always PigOutputFormat
+ nwJob.setOutputFormatClass(PigOutputFormat.class);
+
+ if (mapStores.size() + reduceStores.size() == 1) { // single store case
+ log.info("Setting up single store job");
+
+ POStore st;
+ if (reduceStores.isEmpty()) {
+ st = mapStores.get(0);
+ if(!pigContext.inIllustrator)
+ mro.mapPlan.remove(st);
+ }
+ else {
+ st = reduceStores.get(0);
+ if(!pigContext.inIllustrator)
+ mro.reducePlan.remove(st);
+ }
+
+ // set out filespecs
+ String outputPathString = st.getSFile().getFileName();
+ if (!outputPathString.contains("://") || outputPathString.startsWith("hdfs://")) {
+ conf.set("pig.streaming.log.dir",
+ new Path(outputPathString, LOG_DIR).toString());
+ } else {
+ String tmpLocationStr = FileLocalizer
+ .getTemporaryPath(pigContext).toString();
+ tmpLocation = new Path(tmpLocationStr);
+ conf.set("pig.streaming.log.dir",
+ new Path(tmpLocation, LOG_DIR).toString());
+ }
+ conf.set("pig.streaming.task.output.dir", outputPathString);
+ }
+ else if (mapStores.size() + reduceStores.size() > 0) { // multi store case
+ log.info("Setting up multi store job");
+ String tmpLocationStr = FileLocalizer
+ .getTemporaryPath(pigContext).toString();
+ tmpLocation = new Path(tmpLocationStr);
+
+ nwJob.setOutputFormatClass(PigOutputFormat.class);
+
+ boolean disableCounter = conf.getBoolean("pig.disable.counter", false);
+ if (disableCounter) {
+ log.info("Disable Pig custom output counters");
+ }
+ int idx = 0;
+ for (POStore sto: storeLocations) {
+ sto.setDisableCounter(disableCounter);
+ sto.setMultiStore(true);
+ sto.setIndex(idx++);
+ }
+
+ conf.set("pig.streaming.log.dir",
+ new Path(tmpLocation, LOG_DIR).toString());
+ conf.set("pig.streaming.task.output.dir", tmpLocation.toString());
+ }
+
+ // store map key type
+ // this is needed when the key is null to create
+ // an appropriate NullableXXXWritable object
+ conf.set("pig.map.keytype", ObjectSerializer.serialize(new byte[] { mro.mapKeyType }));
+
+ // set parent plan in all operators in map and reduce plans
+ // currently the parent plan is really used only when POStream is present in the plan
+ new PhyPlanSetter(mro.mapPlan).visit();
+ new PhyPlanSetter(mro.reducePlan).visit();
+
+ // this call modifies the ReplFiles names of POFRJoin operators
+ // within the MR plans, must be called before the plans are
+ // serialized
+ setupDistributedCacheForJoin(mro, pigContext, conf);
+
+ // Search to see if we have any UDFs that need to pack things into the
+ // distrubted cache.
+ setupDistributedCacheForUdfs(mro, pigContext, conf);
+
+ SchemaTupleFrontend.copyAllGeneratedToDistributedCache(pigContext, conf);
+
+ POPackage pack = null;
+ if(mro.reducePlan.isEmpty()){
+ //MapOnly Job
+ nwJob.setMapperClass(PigMapOnly.Map.class);
+ nwJob.setNumReduceTasks(0);
+ if(!pigContext.inIllustrator)
+ conf.set("pig.mapPlan", ObjectSerializer.serialize(mro.mapPlan));
+ if(mro.isEndOfAllInputSetInMap()) {
+ // this is used in Map.close() to decide whether the
+ // pipeline needs to be rerun one more time in the close()
+ // The pipeline is rerun if there either was a stream or POMergeJoin
+ conf.set(END_OF_INP_IN_MAP, "true");
+ }
+ }
+ else{
+ //Map Reduce Job
+ //Process the POPackage operator and remove it from the reduce plan
+ if(!mro.combinePlan.isEmpty()){
+ POPackage combPack = (POPackage)mro.combinePlan.getRoots().get(0);
+ mro.combinePlan.remove(combPack);
+ nwJob.setCombinerClass(PigCombiner.Combine.class);
+ conf.set("pig.combinePlan", ObjectSerializer.serialize(mro.combinePlan));
+ conf.set("pig.combine.package", ObjectSerializer.serialize(combPack));
+ } else if (mro.needsDistinctCombiner()) {
+ nwJob.setCombinerClass(DistinctCombiner.Combine.class);
+ log.info("Setting identity combiner class.");
+ }
+ pack = (POPackage)mro.reducePlan.getRoots().get(0);
+ if(!pigContext.inIllustrator)
+ mro.reducePlan.remove(pack);
+ nwJob.setMapperClass(PigMapReduce.Map.class);
+ nwJob.setReducerClass(PigMapReduce.Reduce.class);
+
+ if (mro.customPartitioner != null)
+ nwJob.setPartitionerClass(PigContext.resolveClassName(mro.customPartitioner));
+
+ if(!pigContext.inIllustrator)
+ conf.set("pig.mapPlan", ObjectSerializer.serialize(mro.mapPlan));
+ if(mro.isEndOfAllInputSetInMap()) {
+ // this is used in Map.close() to decide whether the
+ // pipeline needs to be rerun one more time in the close()
+ // The pipeline is rerun only if there was a stream or merge-join.
+ conf.set(END_OF_INP_IN_MAP, "true");
+ }
+ if(!pigContext.inIllustrator)
+ conf.set("pig.reducePlan", ObjectSerializer.serialize(mro.reducePlan));
+ if(mro.isEndOfAllInputSetInReduce()) {
+ // this is used in Map.close() to decide whether the
+ // pipeline needs to be rerun one more time in the close()
+ // The pipeline is rerun only if there was a stream
+ conf.set("pig.stream.in.reduce", "true");
+ }
+ if (!pigContext.inIllustrator)
+ conf.set("pig.reduce.package", ObjectSerializer.serialize(pack));
+ conf.set("pig.reduce.key.type", Byte.toString(pack.getKeyType()));
+
+ if (mro.getUseSecondaryKey()) {
+ nwJob.setGroupingComparatorClass(PigSecondaryKeyGroupComparator.class);
+ nwJob.setPartitionerClass(SecondaryKeyPartitioner.class);
+ nwJob.setSortComparatorClass(PigSecondaryKeyComparator.class);
+ nwJob.setOutputKeyClass(NullableTuple.class);
+ conf.set("pig.secondarySortOrder",
+ ObjectSerializer.serialize(mro.getSecondarySortOrder()));
+
+ }
+ else
+ {
+ Class<? extends WritableComparable> keyClass = HDataType.getWritableComparableTypes(pack.getKeyType()).getClass();
+ nwJob.setOutputKeyClass(keyClass);
+ selectComparator(mro, pack.getKeyType(), nwJob);
+ }
+ nwJob.setOutputValueClass(NullableTuple.class);
+ }
+
+ if(mro.isGlobalSort() || mro.isLimitAfterSort()){
+ // Only set the quantiles file and sort partitioner if we're a
+ // global sort, not for limit after sort.
+ if (mro.isGlobalSort()) {
+ String symlink = addSingleFileToDistributedCache(
+ pigContext, conf, mro.getQuantFile(), "pigsample");
+ conf.set("pig.quantilesFile", symlink);
+ nwJob.setPartitionerClass(WeightedRangePartitioner.class);
+ }
+
+ if (mro.isUDFComparatorUsed) {
+ boolean usercomparator = false;
+ for (String compFuncSpec : mro.UDFs) {
+ Class comparator = PigContext.resolveClassName(compFuncSpec);
+ if(ComparisonFunc.class.isAssignableFrom(comparator)) {
+ nwJob.setMapperClass(PigMapReduce.MapWithComparator.class);
+ nwJob.setReducerClass(PigMapReduce.ReduceWithComparator.class);
+ conf.set("pig.reduce.package", ObjectSerializer.serialize(pack));
+ conf.set("pig.usercomparator", "true");
+ nwJob.setOutputKeyClass(NullableTuple.class);
+ nwJob.setSortComparatorClass(comparator);
+ usercomparator = true;
+ break;
+ }
+ }
+ if (!usercomparator) {
+ String msg = "Internal error. Can't find the UDF comparator";
+ throw new IOException (msg);
+ }
+
+ } else {
+ conf.set("pig.sortOrder",
+ ObjectSerializer.serialize(mro.getSortOrder()));
+ }
+ }
+
+ if (mro.isSkewedJoin()) {
+ String symlink = addSingleFileToDistributedCache(pigContext,
+ conf, mro.getSkewedJoinPartitionFile(), "pigdistkey");
+ conf.set("pig.keyDistFile", symlink);
+ nwJob.setPartitionerClass(SkewedPartitioner.class);
+ nwJob.setMapperClass(PigMapReduce.MapWithPartitionIndex.class);
+ nwJob.setMapOutputKeyClass(NullablePartitionWritable.class);
+ nwJob.setGroupingComparatorClass(PigGroupingPartitionWritableComparator.class);
+ }
+
+ if (!pigContext.inIllustrator)
+ {
+ // unset inputs for POStore, otherwise, map/reduce plan will be unnecessarily deserialized
+ for (POStore st: mapStores) { st.setInputs(null); st.setParentPlan(null);}
+ for (POStore st: reduceStores) { st.setInputs(null); st.setParentPlan(null);}
+ conf.set(PIG_MAP_STORES, ObjectSerializer.serialize(mapStores));
+ conf.set(PIG_REDUCE_STORES, ObjectSerializer.serialize(reduceStores));
+ }
+
+ // tmp file compression setups
+ if (Utils.tmpFileCompression(pigContext)) {
+ conf.setBoolean("pig.tmpfilecompression", true);
+ conf.set("pig.tmpfilecompression.codec", Utils.tmpFileCompressionCodec(pigContext));
+ }
+
+ String tmp;
+ long maxCombinedSplitSize = 0;
+ if (!mro.combineSmallSplits() || pigContext.getProperties().getProperty("pig.splitCombination", "true").equals("false"))
+ conf.setBoolean("pig.noSplitCombination", true);
+ else if ((tmp = pigContext.getProperties().getProperty("pig.maxCombinedSplitSize", null)) != null) {
+ try {
+ maxCombinedSplitSize = Long.parseLong(tmp);
+ } catch (NumberFormatException e) {
+ log.warn("Invalid numeric format for pig.maxCombinedSplitSize; use the default maximum combined split size");
+ }
+ }
+ if (maxCombinedSplitSize > 0)
+ conf.setLong("pig.maxCombinedSplitSize", maxCombinedSplitSize);
+
+ // It's a hack to set distributed cache file for hadoop 23. Once MiniMRCluster do not require local
+ // jar on fixed location, this can be removed
+ if (pigContext.getExecType() == ExecType.MAPREDUCE) {
+ String newfiles = conf.get("alternative.mapreduce.job.cache.files");
+ if (newfiles!=null) {
+ String files = conf.get("mapreduce.job.cache.files");
+ conf.set("mapreduce.job.cache.files",
+ files == null ? newfiles.toString() : files + "," + newfiles);
+ }
+ }
+ // Serialize the UDF specific context info.
+ UDFContext.getUDFContext().serialize(conf);
+ Job cjob = new Job(new JobConf(nwJob.getConfiguration()), new ArrayList());
+ jobStoreMap.put(cjob,new Pair<List<POStore>, Path>(storeLocations, tmpLocation));
+ return cjob;
+
+ } catch (JobCreationException jce) {
+ throw jce;
+ } catch(Exception e) {
+ int errCode = 2017;
+ String msg = "Internal error creating job configuration.";
+ throw new JobCreationException(msg, errCode, PigException.BUG, e);
+ }
+ }
+
+ /**
+ * Adjust the number of reducers based on the default_parallel, requested parallel and estimated
+ * parallel. For sampler jobs, we also adjust the next job in advance to get its runtime parallel as
+ * the number of partitions used in the sampler.
+ * @param plan the MR plan
+ * @param mro the MR operator
+ * @param nwJob the current job
+ * @throws IOException
+ */
+ public void adjustNumReducers(MROperPlan plan, MapReduceOper mro,
+ org.apache.hadoop.mapreduce.Job nwJob) throws IOException {
+ int jobParallelism = calculateRuntimeReducers(mro, nwJob);
+
+ if (mro.isSampler()) {
+ // We need to calculate the final number of reducers of the next job (order-by or skew-join)
+ // to generate the quantfile.
+ MapReduceOper nextMro = plan.getSuccessors(mro).get(0);
+
+ // Here we use the same conf and Job to calculate the runtime #reducers of the next job
+ // which is fine as the statistics comes from the nextMro's POLoads
+ int nPartitions = calculateRuntimeReducers(nextMro, nwJob);
+
+ // set the runtime #reducer of the next job as the #partition
+ ParallelConstantVisitor visitor =
+ new ParallelConstantVisitor(mro.reducePlan, nPartitions);
+ visitor.visit();
+ }
+ log.info("Setting Parallelism to " + jobParallelism);
+
+ Configuration conf = nwJob.getConfiguration();
+
+ // set various parallelism into the job conf for later analysis, PIG-2779
+ conf.setInt("pig.info.reducers.default.parallel", pigContext.defaultParallel);
+ conf.setInt("pig.info.reducers.requested.parallel", mro.requestedParallelism);
+ conf.setInt("pig.info.reducers.estimated.parallel", mro.estimatedParallelism);
+
+ // this is for backward compatibility, and we encourage to use runtimeParallelism at runtime
+ mro.requestedParallelism = jobParallelism;
+
+ // finally set the number of reducers
+ conf.setInt("mapred.reduce.tasks", jobParallelism);
+ }
+
+ /**
+ * Calculate the runtime #reducers based on the default_parallel, requested parallel and estimated
+ * parallel, and save it to MapReduceOper's runtimeParallelism.
+ * @return the runtimeParallelism
+ * @throws IOException
+ */
+ private int calculateRuntimeReducers(MapReduceOper mro,
+ org.apache.hadoop.mapreduce.Job nwJob) throws IOException{
+ // we don't recalculate for the same job
+ if (mro.runtimeParallelism != -1) {
+ return mro.runtimeParallelism;
+ }
+
+ int jobParallelism = -1;
+
+ if (mro.requestedParallelism > 0) {
+ jobParallelism = mro.requestedParallelism;
+ } else if (pigContext.defaultParallel > 0) {
+ jobParallelism = pigContext.defaultParallel;
+ } else {
+ mro.estimatedParallelism = estimateNumberOfReducers(nwJob, mro);
+ if (mro.estimatedParallelism > 0) {
+ jobParallelism = mro.estimatedParallelism;
+ } else {
+ // reducer estimation could return -1 if it couldn't estimate
+ log.info("Could not estimate number of reducers and no requested or default " +
+ "parallelism set. Defaulting to 1 reducer.");
+ jobParallelism = 1;
+ }
+ }
+
+ // save it
+ mro.runtimeParallelism = jobParallelism;
+ return jobParallelism;
+ }
+
+ /**
+ * Looks up the estimator from REDUCER_ESTIMATOR_KEY and invokes it to find the number of
+ * reducers to use. If REDUCER_ESTIMATOR_KEY isn't set, defaults to InputSizeReducerEstimator.
+ * @param job
+ * @param mapReducerOper
+ * @throws IOException
+ */
+ public static int estimateNumberOfReducers(org.apache.hadoop.mapreduce.Job job,
+ MapReduceOper mapReducerOper) throws IOException {
+ Configuration conf = job.getConfiguration();
+
+ PigReducerEstimator estimator = conf.get(REDUCER_ESTIMATOR_KEY) == null ?
+ new InputSizeReducerEstimator() :
+ PigContext.instantiateObjectFromParams(conf,
+ REDUCER_ESTIMATOR_KEY, REDUCER_ESTIMATOR_ARG_KEY, PigReducerEstimator.class);
+
+ log.info("Using reducer estimator: " + estimator.getClass().getName());
+ int numberOfReducers = estimator.estimateNumberOfReducers(job, mapReducerOper);
+ return numberOfReducers;
+ }
+
+ public static class PigSecondaryKeyGroupComparator extends WritableComparator {
+ public PigSecondaryKeyGroupComparator() {
+// super(TupleFactory.getInstance().tupleClass(), true);
+ super(NullableTuple.class, true);
+ }
+
+ @SuppressWarnings("unchecked")
+ @Override
+ public int compare(WritableComparable a, WritableComparable b)
+ {
+ PigNullableWritable wa = (PigNullableWritable)a;
+ PigNullableWritable wb = (PigNullableWritable)b;
+ if ((wa.getIndex() & PigNullableWritable.mqFlag) != 0) { // this is a multi-query index
+ if ((wa.getIndex() & PigNullableWritable.idxSpace) < (wb.getIndex() & PigNullableWritable.idxSpace)) return -1;
+ else if ((wa.getIndex() & PigNullableWritable.idxSpace) > (wb.getIndex() & PigNullableWritable.idxSpace)) return 1;
+ // If equal, we fall through
+ }
+
+ // wa and wb are guaranteed to be not null, POLocalRearrange will create a tuple anyway even if main key and secondary key
+ // are both null; however, main key can be null, we need to check for that using the same logic we have in PigNullableWritable
+ Object valuea = null;
+ Object valueb = null;
+ try {
+ // Get the main key from compound key
+ valuea = ((Tuple)wa.getValueAsPigType()).get(0);
+ valueb = ((Tuple)wb.getValueAsPigType()).get(0);
+ } catch (ExecException e) {
+ throw new RuntimeException("Unable to access tuple field", e);
+ }
+ if (!wa.isNull() && !wb.isNull()) {
+
+ int result = DataType.compare(valuea, valueb);
+
+ // If any of the field inside tuple is null, then we do not merge keys
+ // See PIG-927
+ if (result == 0 && valuea instanceof Tuple && valueb instanceof Tuple)
+ {
+ try {
+ for (int i=0;i<((Tuple)valuea).size();i++)
+ if (((Tuple)valueb).get(i)==null)
+ return (wa.getIndex()&PigNullableWritable.idxSpace) - (wb.getIndex()&PigNullableWritable.idxSpace);
+ } catch (ExecException e) {
+ throw new RuntimeException("Unable to access tuple field", e);
+ }
+ }
+ return result;
+ } else if (valuea==null && valueb==null) {
+ // If they're both null, compare the indicies
+ if ((wa.getIndex() & PigNullableWritable.idxSpace) < (wb.getIndex() & PigNullableWritable.idxSpace)) return -1;
+ else if ((wa.getIndex() & PigNullableWritable.idxSpace) > (wb.getIndex() & PigNullableWritable.idxSpace)) return 1;
+ else return 0;
+ }
+ else if (valuea==null) return -1;
+ else return 1;
+ }
+ }
+
+ public static class PigWritableComparator extends WritableComparator {
+ @SuppressWarnings("unchecked")
+ protected PigWritableComparator(Class c) {
+ super(c);
+ }
+
+ @Override
+ public int compare(byte[] b1, int s1, int l1, byte[] b2, int s2, int l2){
+ return WritableComparator.compareBytes(b1, s1, l1, b2, s2, l2);
+ }
+ }
+
+ public static class PigBooleanWritableComparator extends PigWritableComparator {
+ public PigBooleanWritableComparator() {
+ super(NullableBooleanWritable.class);
+ }
+ }
+
+ public static class PigIntWritableComparator extends PigWritableComparator {
+ public PigIntWritableComparator() {
+ super(NullableIntWritable.class);
+ }
+ }
+
+ public static class PigLongWritableComparator extends PigWritableComparator {
+ public PigLongWritableComparator() {
+ super(NullableLongWritable.class);
+ }
+ }
+
+ public static class PigFloatWritableComparator extends PigWritableComparator {
+ public PigFloatWritableComparator() {
+ super(NullableFloatWritable.class);
+ }
+ }
+
+ public static class PigDoubleWritableComparator extends PigWritableComparator {
+ public PigDoubleWritableComparator() {
+ super(NullableDoubleWritable.class);
+ }
+ }
+
+ public static class PigCharArrayWritableComparator extends PigWritableComparator {
+ public PigCharArrayWritableComparator() {
+ super(NullableText.class);
+ }
+ }
+
+ public static class PigDBAWritableComparator extends PigWritableComparator {
+ public PigDBAWritableComparator() {
+ super(NullableBytesWritable.class);
+ }
+ }
+
+ public static class PigTupleWritableComparator extends PigWritableComparator {
+ public PigTupleWritableComparator() {
+ super(TupleFactory.getInstance().tupleClass());
+ }
+ }
+
+ public static class PigBagWritableComparator extends PigWritableComparator {
+ public PigBagWritableComparator() {
+ super(BagFactory.getInstance().newDefaultBag().getClass());
+ }
+ }
+
+ // XXX hadoop 20 new API integration: we need to explicitly set the Grouping
+ // Comparator
+ public static class PigGroupingBooleanWritableComparator extends WritableComparator {
+ public PigGroupingBooleanWritableComparator() {
+ super(NullableBooleanWritable.class, true);
+ }
+ }
+
+ public static class PigGroupingIntWritableComparator extends WritableComparator {
+ public PigGroupingIntWritableComparator() {
+ super(NullableIntWritable.class, true);
+ }
+ }
+
+ public static class PigGroupingLongWritableComparator extends WritableComparator {
+ public PigGroupingLongWritableComparator() {
+ super(NullableLongWritable.class, true);
+ }
+ }
+
+ public static class PigGroupingFloatWritableComparator extends WritableComparator {
+ public PigGroupingFloatWritableComparator() {
+ super(NullableFloatWritable.class, true);
+ }
+ }
+
+ public static class PigGroupingDoubleWritableComparator extends WritableComparator {
+ public PigGroupingDoubleWritableComparator() {
+ super(NullableDoubleWritable.class, true);
+ }
+ }
+
+ public static class PigGroupingCharArrayWritableComparator extends WritableComparator {
+ public PigGroupingCharArrayWritableComparator() {
+ super(NullableText.class, true);
+ }
+ }
+
+ public static class PigGroupingDBAWritableComparator extends WritableComparator {
+ public PigGroupingDBAWritableComparator() {
+ super(NullableBytesWritable.class, true);
+ }
+ }
+
+ public static class PigGroupingTupleWritableComparator extends WritableComparator {
+ public PigGroupingTupleWritableComparator() {
+ super(NullableTuple.class, true);
+ }
+ }
+
+ public static class PigGroupingPartitionWritableComparator extends WritableComparator {
+ public PigGroupingPartitionWritableComparator() {
+ super(NullablePartitionWritable.class, true);
+ }
+ }
+
+ public static class PigGroupingBagWritableComparator extends WritableComparator {
+ public PigGroupingBagWritableComparator() {
+ super(BagFactory.getInstance().newDefaultBag().getClass(), true);
+ }
+ }
+
+ private void selectComparator(
+ MapReduceOper mro,
+ byte keyType,
+ org.apache.hadoop.mapreduce.Job job) throws JobCreationException {
+ // If this operator is involved in an order by, use the pig specific raw
+ // comparators. If it has a cogroup, we need to set the comparator class
+ // to the raw comparator and the grouping comparator class to pig specific
+ // raw comparators (which skip the index). Otherwise use the hadoop provided
+ // raw comparator.
+
+ // An operator has an order by if global sort is set or if it's successor has
+ // global sort set (because in that case it's the sampling job) or if
+ // it's a limit after a sort.
+ boolean hasOrderBy = false;
+ if (mro.isGlobalSort() || mro.isLimitAfterSort() || mro.usingTypedComparator()) {
+ hasOrderBy = true;
+ } else {
+ List<MapReduceOper> succs = plan.getSuccessors(mro);
+ if (succs != null) {
+ MapReduceOper succ = succs.get(0);
+ if (succ.isGlobalSort()) hasOrderBy = true;
+ }
+ }
+ if (hasOrderBy) {
+ switch (keyType) {
+ case DataType.BOOLEAN:
+ job.setSortComparatorClass(PigBooleanRawComparator.class);
+ break;
+
+ case DataType.INTEGER:
+ job.setSortComparatorClass(PigIntRawComparator.class);
+ break;
+
+ case DataType.LONG:
+ job.setSortComparatorClass(PigLongRawComparator.class);
+ break;
+
+ case DataType.FLOAT:
+ job.setSortComparatorClass(PigFloatRawComparator.class);
+ break;
+
+ case DataType.DOUBLE:
+ job.setSortComparatorClass(PigDoubleRawComparator.class);
+ break;
+
+ case DataType.CHARARRAY:
+ job.setSortComparatorClass(PigTextRawComparator.class);
+ break;
+
+ case DataType.BYTEARRAY:
+ job.setSortComparatorClass(PigBytesRawComparator.class);
+ break;
+
+ case DataType.MAP:
+ int errCode = 1068;
+ String msg = "Using Map as key not supported.";
+ throw new JobCreationException(msg, errCode, PigException.INPUT);
+
+ case DataType.TUPLE:
+ job.setSortComparatorClass(PigTupleSortComparator.class);
+ break;
+
+ case DataType.BAG:
+ errCode = 1068;
+ msg = "Using Bag as key not supported.";
+ throw new JobCreationException(msg, errCode, PigException.INPUT);
+
+ default:
+ break;
+ }
+ return;
+ }
+
+ switch (keyType) {
+ case DataType.BOOLEAN:
+ job.setSortComparatorClass(PigBooleanWritableComparator.class);
+ job.setGroupingComparatorClass(PigGroupingBooleanWritableComparator.class);
+ break;
+
+ case DataType.INTEGER:
+ job.setSortComparatorClass(PigIntWritableComparator.class);
+ job.setGroupingComparatorClass(PigGroupingIntWritableComparator.class);
+ break;
+
+ case DataType.LONG:
+ job.setSortComparatorClass(PigLongWritableComparator.class);
+ job.setGroupingComparatorClass(PigGroupingLongWritableComparator.class);
+ break;
+
+ case DataType.FLOAT:
+ job.setSortComparatorClass(PigFloatWritableComparator.class);
+ job.setGroupingComparatorClass(PigGroupingFloatWritableComparator.class);
+ break;
+
+ case DataType.DOUBLE:
+ job.setSortComparatorClass(PigDoubleWritableComparator.class);
+ job.setGroupingComparatorClass(PigGroupingDoubleWritableComparator.class);
+ break;
+
+ case DataType.CHARARRAY:
+ job.setSortComparatorClass(PigCharArrayWritableComparator.class);
+ job.setGroupingComparatorClass(PigGroupingCharArrayWritableComparator.class);
+ break;
+
+ case DataType.BYTEARRAY:
+ job.setSortComparatorClass(PigDBAWritableComparator.class);
+ job.setGroupingComparatorClass(PigGroupingDBAWritableComparator.class);
+ break;
+
+ case DataType.MAP:
+ int errCode = 1068;
+ String msg = "Using Map as key not supported.";
+ throw new JobCreationException(msg, errCode, PigException.INPUT);
+
+ case DataType.TUPLE:
+ job.setSortComparatorClass(PigTupleWritableComparator.class);
+ job.setGroupingComparatorClass(PigGroupingTupleWritableComparator.class);
+ break;
+
+ case DataType.BAG:
+ errCode = 1068;
+ msg = "Using Bag as key not supported.";
+ throw new JobCreationException(msg, errCode, PigException.INPUT);
+
+ default:
+ errCode = 2036;
+ msg = "Unhandled key type " + DataType.findTypeName(keyType);
+ throw new JobCreationException(msg, errCode, PigException.BUG);
+ }
+ }
+
+ private void setupDistributedCacheForJoin(MapReduceOper mro,
+ PigContext pigContext, Configuration conf) throws IOException {
+
+ new JoinDistributedCacheVisitor(mro.mapPlan, pigContext, conf)
+ .visit();
+
+ new JoinDistributedCacheVisitor(mro.reducePlan, pigContext, conf)
+ .visit();
+ }
+
+ private void setupDistributedCacheForUdfs(MapReduceOper mro,
+ PigContext pigContext,
+ Configuration conf) throws IOException {
+ new UdfDistributedCacheVisitor(mro.mapPlan, pigContext, conf).visit();
+ new UdfDistributedCacheVisitor(mro.reducePlan, pigContext, conf).visit();
+ }
+
+ private static void setupDistributedCache(PigContext pigContext,
+ Configuration conf,
+ Properties properties, String key,
+ boolean shipToCluster)
+ throws IOException {
+ // Set up the DistributedCache for this job
+ String fileNames = properties.getProperty(key);
+
+ if (fileNames != null) {
+ String[] paths = fileNames.split(",");
+ setupDistributedCache(pigContext, conf, paths, shipToCluster);
+ }
+ }
+
+ private static void setupDistributedCache(PigContext pigContext,
+ Configuration conf, String[] paths, boolean shipToCluster) throws IOException {
+ // Turn on the symlink feature
+ DistributedCache.createSymlink(conf);
+
+ for (String path : paths) {
+ path = path.trim();
+ if (path.length() != 0) {
+ Path src = new Path(path);
+
+ // Ensure that 'src' is a valid URI
+ URI srcURI = toURI(src);
+
+ // Ship it to the cluster if necessary and add to the
+ // DistributedCache
+ if (shipToCluster) {
+ Path dst =
+ new Path(FileLocalizer.getTemporaryPath(pigContext).toString());
+ FileSystem fs = dst.getFileSystem(conf);
+ fs.copyFromLocalFile(src, dst);
+
+ // Construct the dst#srcName uri for DistributedCache
+ URI dstURI = null;
+ try {
+ dstURI = new URI(dst.toString() + "#" + src.getName());
+ } catch (URISyntaxException ue) {
+ byte errSrc = pigContext.getErrorSource();
+ int errCode = 0;
+ switch(errSrc) {
+ case PigException.REMOTE_ENVIRONMENT:
+ errCode = 6004;
+ break;
+ case PigException.USER_ENVIRONMENT:
+ errCode = 4004;
+ break;
+ default:
+ errCode = 2037;
+ break;
+ }
+ String msg = "Invalid ship specification. " +
+ "File doesn't exist: " + dst;
+ throw new ExecException(msg, errCode, errSrc);
+ }
+ DistributedCache.addCacheFile(dstURI, conf);
+ } else {
+ DistributedCache.addCacheFile(srcURI, conf);
+ }
+ }
+ }
+ }
+
+ private static String addSingleFileToDistributedCache(
+ PigContext pigContext, Configuration conf, String filename,
+ String prefix) throws IOException {
+
+ if (!pigContext.inIllustrator && !FileLocalizer.fileExists(filename, pigContext)) {
+ throw new IOException(
+ "Internal error: skew join partition file "
+ + filename + " does not exist");
+ }
+
+ String symlink = filename;
+
+ // XXX Hadoop currently doesn't support distributed cache in local mode.
+ // This line will be removed after the support is added by Hadoop team.
+ if (pigContext.getExecType() != ExecType.LOCAL) {
+ symlink = prefix + "_"
+ + Integer.toString(System.identityHashCode(filename)) + "_"
+ + Long.toString(System.currentTimeMillis());
+ filename = filename + "#" + symlink;
+ setupDistributedCache(pigContext, conf, new String[] { filename },
+ false);
+ }
+
+ return symlink;
+ }
+
+
+ /**
+ * Ensure that 'src' is a valid URI
+ * @param src the source Path
+ * @return a URI for this path
+ * @throws ExecException
+ */
+ private static URI toURI(Path src) throws ExecException {
+ try {
+ return new URI(src.toString());
+ } catch (URISyntaxException ue) {
+ int errCode = 6003;
+ String msg = "Invalid cache specification. " +
+ "File doesn't exist: " + src;
+ throw new ExecException(msg, errCode, PigException.USER_ENVIRONMENT);
+ }
+ }
+
+ /**
+ * if url is not in HDFS will copy the path to HDFS from local before adding to distributed cache
+ * @param pigContext the pigContext
+ * @param conf the job conf
+ * @param url the url to be added to distributed cache
+ * @return the path as seen on distributed cache
+ * @throws IOException
+ */
+ private static void putJarOnClassPathThroughDistributedCache(
+ PigContext pigContext,
+ Configuration conf,
+ URL url) throws IOException {
+
+ // Turn on the symlink feature
+ DistributedCache.createSymlink(conf);
+
+ // REGISTER always copies locally the jar file. see PigServer.registerJar()
+ Path pathInHDFS = shipToHDFS(pigContext, conf, url);
+ // and add to the DistributedCache
+ DistributedCache.addFileToClassPath(pathInHDFS, conf);
+ pigContext.skipJars.add(url.getPath());
+ }
+
+ /**
+ * copy the file to hdfs in a temporary path
+ * @param pigContext the pig context
+ * @param conf the job conf
+ * @param url the url to ship to hdfs
+ * @return the location where it was shipped
+ * @throws IOException
+ */
+ private static Path shipToHDFS(
+ PigContext pigContext,
+ Configuration conf,
+ URL url) throws IOException {
+
+ String path = url.getPath();
+ int slash = path.lastIndexOf("/");
+ String suffix = slash == -1 ? path : path.substring(slash+1);
+
+ Path dst = new Path(FileLocalizer.getTemporaryPath(pigContext).toUri().getPath(), suffix);
+ FileSystem fs = dst.getFileSystem(conf);
+ OutputStream os = fs.create(dst);
+ try {
+ IOUtils.copyBytes(url.openStream(), os, 4096, true);
+ } finally {
+ // IOUtils can not close both the input and the output properly in a finally
+ // as we can get an exception in between opening the stream and calling the method
+ os.close();
+ }
+ return dst;
+ }
+
+
+ private static class JoinDistributedCacheVisitor extends PhyPlanVisitor {
+
+ private PigContext pigContext = null;
+
+ private Configuration conf = null;
+
+ public JoinDistributedCacheVisitor(PhysicalPlan plan,
+ PigContext pigContext, Configuration conf) {
+ super(plan, new DepthFirstWalker<PhysicalOperator, PhysicalPlan>(
+ plan));
+ this.pigContext = pigContext;
+ this.conf = conf;
+ }
+
+ @Override
+ public void visitFRJoin(POFRJoin join) throws VisitorException {
+
+ // XXX Hadoop currently doesn't support distributed cache in local mode.
+ // This line will be removed after the support is added
+ if (pigContext.getExecType() == ExecType.LOCAL) return;
+
+ // set up distributed cache for the replicated files
+ FileSpec[] replFiles = join.getReplFiles();
+ ArrayList<String> replicatedPath = new ArrayList<String>();
+
+ FileSpec[] newReplFiles = new FileSpec[replFiles.length];
+
+ // the first input is not replicated
+ for (int i = 0; i < replFiles.length; i++) {
+ // ignore fragmented file
+ String symlink = "";
+ if (i != join.getFragment()) {
+ symlink = "pigrepl_" + join.getOperatorKey().toString() + "_"
+ + Integer.toString(System.identityHashCode(replFiles[i].getFileName()))
+ + "_" + Long.toString(System.currentTimeMillis())
+ + "_" + i;
+ replicatedPath.add(replFiles[i].getFileName() + "#"
+ + symlink);
+ }
+ newReplFiles[i] = new FileSpec(symlink,
+ (replFiles[i] == null ? null : replFiles[i].getFuncSpec()));
+ }
+
+ join.setReplFiles(newReplFiles);
+
+ try {
+ setupDistributedCache(pigContext, conf, replicatedPath
+ .toArray(new String[0]), false);
+ } catch (IOException e) {
+ String msg = "Internal error. Distributed cache could not " +
+ "be set up for the replicated files";
+ throw new VisitorException(msg, e);
+ }
+ }
+
+ @Override
+ public void visitMergeJoin(POMergeJoin join) throws VisitorException {
+
+ // XXX Hadoop currently doesn't support distributed cache in local mode.
+ // This line will be removed after the support is added
+ if (pigContext.getExecType() == ExecType.LOCAL) return;
+
+ String indexFile = join.getIndexFile();
+
+ // merge join may not use an index file
+ if (indexFile == null) return;
+
+ try {
+ String symlink = addSingleFileToDistributedCache(pigContext,
+ conf, indexFile, "indexfile_");
+ join.setIndexFile(symlink);
+ } catch (IOException e) {
+ String msg = "Internal error. Distributed cache could not " +
+ "be set up for merge join index file";
+ throw new VisitorException(msg, e);
+ }
+ }
+
+ @Override
+ public void visitMergeCoGroup(POMergeCogroup mergeCoGrp)
+ throws VisitorException {
+
+ // XXX Hadoop currently doesn't support distributed cache in local mode.
+ // This line will be removed after the support is added
+ if (pigContext.getExecType() == ExecType.LOCAL) return;
+
+ String indexFile = mergeCoGrp.getIndexFileName();
+
+ if (indexFile == null) throw new VisitorException("No index file");
+
+ try {
+ String symlink = addSingleFileToDistributedCache(pigContext,
+ conf, indexFile, "indexfile_mergecogrp_");
+ mergeCoGrp.setIndexFileName(symlink);
+ } catch (IOException e) {
+ String msg = "Internal error. Distributed cache could not " +
+ "be set up for merge cogrp index file";
+ throw new VisitorException(msg, e);
+ }
+ }
+ }
+
+ private static class UdfDistributedCacheVisitor extends PhyPlanVisitor {
+
+ private PigContext pigContext = null;
+ private Configuration conf = null;
+
+ public UdfDistributedCacheVisitor(PhysicalPlan plan,
+ PigContext pigContext,
+ Configuration conf) {
+ super(plan, new DepthFirstWalker<PhysicalOperator, PhysicalPlan>(
+ plan));
+ this.pigContext = pigContext;
+ this.conf = conf;
+ }
+
+ @Override
+ public void visitUserFunc(POUserFunc func) throws VisitorException {
+
+ // XXX Hadoop currently doesn't support distributed cache in local mode.
+ // This line will be removed after the support is added
+ if (pigContext.getExecType() == ExecType.LOCAL) return;
+
+ // set up distributed cache for files indicated by the UDF
+ String[] files = func.getCacheFiles();
+ if (files == null) return;
+
+ try {
+ setupDistributedCache(pigContext, conf, files, false);
+ } catch (IOException e) {
+ String msg = "Internal error. Distributed cache could not " +
+ "be set up for the requested files";
+ throw new VisitorException(msg, e);
+ }
+ }
+ }
+
+ private static class ParallelConstantVisitor extends PhyPlanVisitor {
+
+ private int rp;
+
+ private boolean replaced = false;
+
+ public ParallelConstantVisitor(PhysicalPlan plan, int rp) {
+ super(plan, new DepthFirstWalker<PhysicalOperator, PhysicalPlan>(
+ plan));
+ this.rp = rp;
+}
+
+ @Override
+ public void visitConstant(ConstantExpression cnst) throws VisitorException {
+ if (cnst.getRequestedParallelism() == -1) {
+ Object obj = cnst.getValue();
+ if (obj instanceof Integer) {
+ if (replaced) {
+ // sample job should have only one ConstantExpression
+ throw new VisitorException("Invalid reduce plan: more " +
+ "than one ConstantExpression found in sampling job");
+ }
+ cnst.setValue(rp);
+ cnst.setRequestedParallelism(rp);
+ replaced = true;
+ }
+ }
+ }
+
+ boolean isReplaced() { return replaced; }
+ }
+
+}
Added: pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/mapReduceLayer/PigDateTimeRawComparator.java
URL: http://svn.apache.org/viewvc/pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/mapReduceLayer/PigDateTimeRawComparator.java?rev=1376800&view=auto
==============================================================================
--- pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/mapReduceLayer/PigDateTimeRawComparator.java (added)
+++ pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/mapReduceLayer/PigDateTimeRawComparator.java Fri Aug 24 00:18:05 2012
@@ -0,0 +1,102 @@
+package org.apache.pig.backend.hadoop.executionengine.mapReduceLayer;
+
+import java.io.IOException;
+
+import org.joda.time.DateTime;
+
+import org.apache.commons.logging.Log;
+import org.apache.commons.logging.LogFactory;
+import org.apache.hadoop.conf.Configurable;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.io.WritableComparator;
+import org.apache.hadoop.mapred.JobConf;
+import org.apache.pig.backend.hadoop.DateTimeWritable;
+import org.apache.pig.impl.io.NullableDateTimeWritable;
+import org.apache.pig.impl.util.ObjectSerializer;
+
+public class PigDateTimeRawComparator extends WritableComparator implements
+ Configurable {
+
+ private final Log mLog = LogFactory.getLog(getClass());
+ private boolean[] mAsc;
+ private DateTimeWritable.Comparator mWrappedComp;
+
+ public PigDateTimeRawComparator() {
+ super(NullableDateTimeWritable.class);
+ mWrappedComp = new DateTimeWritable.Comparator();
+ }
+
+ public void setConf(Configuration conf) {
+ if (!(conf instanceof JobConf)) {
+ mLog.warn("Expected jobconf in setConf, got "
+ + conf.getClass().getName());
+ return;
+ }
+ JobConf jconf = (JobConf) conf;
+ try {
+ mAsc = (boolean[]) ObjectSerializer.deserialize(jconf
+ .get("pig.sortOrder"));
+ } catch (IOException ioe) {
+ mLog.error("Unable to deserialize pig.sortOrder "
+ + ioe.getMessage());
+ throw new RuntimeException(ioe);
+ }
+ if (mAsc == null) {
+ mAsc = new boolean[1];
+ mAsc[0] = true;
+ }
+ }
+
+ public Configuration getConf() {
+ return null;
+ }
+
+ /**
+ * Compare two NullableIntWritables as raw bytes. If neither are null, then
+ * IntWritable.compare() is used. If both are null then the indices are
+ * compared. Otherwise the null one is defined to be less.
+ */
+ public int compare(byte[] b1, int s1, int l1, byte[] b2, int s2, int l2) {
+ int rc = 0;
+
+ // If either are null, handle differently.
+ if (b1[s1] == 0 && b2[s2] == 0) {
+ rc = mWrappedComp.compare(b1, s1 + 1, l1 - 2, b2, s2 + 1, l2 - 2);
+ } else {
+ // For sorting purposes two nulls are equal.
+ if (b1[s1] != 0 && b2[s2] != 0)
+ rc = 0;
+ else if (b1[s1] != 0)
+ rc = -1;
+ else
+ rc = 1;
+ }
+ if (!mAsc[0])
+ rc *= -1;
+ return rc;
+ }
+
+ public int compare(Object o1, Object o2) {
+ NullableDateTimeWritable ndtw1 = (NullableDateTimeWritable) o1;
+ NullableDateTimeWritable ndtw2 = (NullableDateTimeWritable) o2;
+ int rc = 0;
+
+ // If either are null, handle differently.
+ if (!ndtw1.isNull() && !ndtw2.isNull()) {
+ rc = ((DateTime) ndtw1.getValueAsPigType())
+ .compareTo((DateTime) ndtw2.getValueAsPigType());
+ } else {
+ // For sorting purposes two nulls are equal.
+ if (ndtw1.isNull() && ndtw2.isNull())
+ rc = 0;
+ else if (ndtw1.isNull())
+ rc = -1;
+ else
+ rc = 1;
+ }
+ if (!mAsc[0])
+ rc *= -1;
+ return rc;
+ }
+
+}
Modified: pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/mapReduceLayer/PigGenericMapBase.java
URL: http://svn.apache.org/viewvc/pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/mapReduceLayer/PigGenericMapBase.java?rev=1376800&r1=1376799&r2=1376800&view=diff
==============================================================================
--- pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/mapReduceLayer/PigGenericMapBase.java (original)
+++ pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/mapReduceLayer/PigGenericMapBase.java Fri Aug 24 00:18:05 2012
@@ -22,6 +22,8 @@ import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
+import org.joda.time.DateTimeZone;
+
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.conf.Configuration;
@@ -211,6 +213,12 @@ public abstract class PigGenericMapBase
PigStatusReporter.setContext(context);
log.info("Aliases being processed per job phase (AliasName[line,offset]): " + job.get("pig.alias.location"));
+
+ String dtzStr = PigMapReduce.sJobConfInternal.get().get("pig.datetime.default.tz");
+ if (dtzStr != null && dtzStr.length() > 0) {
+ // ensure that the internal timezone is uniformly in UTC offset style
+ DateTimeZone.setDefault(DateTimeZone.forOffsetMillis(DateTimeZone.forID(dtzStr).getOffset(null)));
+ }
}
/**
Modified: pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/mapReduceLayer/PigGenericMapReduce.java
URL: http://svn.apache.org/viewvc/pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/mapReduceLayer/PigGenericMapReduce.java?rev=1376800&r1=1376799&r2=1376800&view=diff
==============================================================================
--- pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/mapReduceLayer/PigGenericMapReduce.java (original)
+++ pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/mapReduceLayer/PigGenericMapReduce.java Fri Aug 24 00:18:05 2012
@@ -23,6 +23,8 @@ import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;
+import org.joda.time.DateTimeZone;
+
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.conf.Configuration;
@@ -345,6 +347,12 @@ public class PigGenericMapReduce {
throw new RuntimeException(msg, ioe);
}
log.info("Aliases being processed per job phase (AliasName[line,offset]): " + jConf.get("pig.alias.location"));
+
+ String dtzStr = PigMapReduce.sJobConfInternal.get().get("pig.datetime.default.tz");
+ if (dtzStr != null && dtzStr.length() > 0) {
+ // ensure that the internal timezone is uniformly in UTC offset style
+ DateTimeZone.setDefault(DateTimeZone.forOffsetMillis(DateTimeZone.forID(dtzStr).getOffset(null)));
+ }
}
/**
Modified: pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/mapReduceLayer/partitioners/WeightedRangePartitioner.java
URL: http://svn.apache.org/viewvc/pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/mapReduceLayer/partitioners/WeightedRangePartitioner.java?rev=1376800&r1=1376799&r2=1376800&view=diff
==============================================================================
--- pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/mapReduceLayer/partitioners/WeightedRangePartitioner.java (original)
+++ pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/mapReduceLayer/partitioners/WeightedRangePartitioner.java Fri Aug 24 00:18:05 2012
@@ -47,6 +47,7 @@ import org.apache.pig.impl.io.NullableDo
import org.apache.pig.impl.io.NullableFloatWritable;
import org.apache.pig.impl.io.NullableIntWritable;
import org.apache.pig.impl.io.NullableLongWritable;
+import org.apache.pig.impl.io.NullableDateTimeWritable;
import org.apache.pig.impl.io.NullableText;
import org.apache.pig.impl.io.NullableTuple;
import org.apache.pig.impl.io.PigNullableWritable;
@@ -211,6 +212,8 @@ public class WeightedRangePartitioner ex
quantiles = quantilesList.toArray(new NullableIntWritable[0]);
} else if (quantilesList.get(0).getClass().equals(NullableLongWritable.class)) {
quantiles = quantilesList.toArray(new NullableLongWritable[0]);
+ } else if (quantilesList.get(0).getClass().equals(NullableDateTimeWritable.class)) {
+ quantiles = quantilesList.toArray(new NullableDateTimeWritable[0]);
} else if (quantilesList.get(0).getClass().equals(NullableText.class)) {
quantiles = quantilesList.toArray(new NullableText[0]);
} else {
Modified: pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/PhysicalOperator.java
URL: http://svn.apache.org/viewvc/pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/PhysicalOperator.java?rev=1376800&r1=1376799&r2=1376800&view=diff
==============================================================================
--- pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/PhysicalOperator.java (original)
+++ pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/PhysicalOperator.java Fri Aug 24 00:18:05 2012
@@ -23,6 +23,8 @@ import java.util.Collections;
import java.util.List;
import java.util.Map;
+import org.joda.time.DateTime;
+
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.pig.backend.executionengine.ExecException;
@@ -123,6 +125,8 @@ public abstract class PhysicalOperator e
static final protected Boolean dummyBool = null;
+ static final protected DateTime dummyDateTime = null;
+
static final protected Tuple dummyTuple = null;
static final protected DataBag dummyBag = null;
@@ -343,6 +347,8 @@ public abstract class PhysicalOperator e
return getNext((Integer) obj);
case DataType.LONG:
return getNext((Long) obj);
+ case DataType.DATETIME:
+ return getNext((DateTime) obj);
case DataType.MAP:
return getNext((Map) obj);
case DataType.TUPLE:
@@ -370,6 +376,8 @@ public abstract class PhysicalOperator e
return dummyFloat;
case DataType.LONG:
return dummyLong;
+ case DataType.DATETIME:
+ return dummyDateTime;
case DataType.MAP:
return dummyMap;
case DataType.TUPLE:
@@ -394,6 +402,10 @@ public abstract class PhysicalOperator e
public Result getNext(Float f) throws ExecException {
return res;
}
+
+ public Result getNext(DateTime dt) throws ExecException {
+ return res;
+ }
public Result getNext(String s) throws ExecException {
return res;
Modified: pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/ComparisonOperator.java
URL: http://svn.apache.org/viewvc/pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/ComparisonOperator.java?rev=1376800&r1=1376799&r2=1376800&view=diff
==============================================================================
--- pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/ComparisonOperator.java (original)
+++ pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/ComparisonOperator.java Fri Aug 24 00:18:05 2012
@@ -19,6 +19,8 @@ package org.apache.pig.backend.hadoop.ex
import java.util.Map;
+import org.joda.time.DateTime;
+
import org.apache.pig.backend.executionengine.ExecException;
import org.apache.pig.data.DataBag;
import org.apache.pig.data.DataByteArray;
@@ -65,6 +67,8 @@ public interface ComparisonOperator {
public Result getNext(Boolean b) throws ExecException;
+ public Result getNext(DateTime dt) throws ExecException;
+
public Result getNext(Tuple t) throws ExecException;
public Result getNext(DataBag db) throws ExecException;
Modified: pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/ConstantExpression.java
URL: http://svn.apache.org/viewvc/pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/ConstantExpression.java?rev=1376800&r1=1376799&r2=1376800&view=diff
==============================================================================
--- pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/ConstantExpression.java (original)
+++ pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/ConstantExpression.java Fri Aug 24 00:18:05 2012
@@ -20,6 +20,8 @@ package org.apache.pig.backend.hadoop.ex
import java.util.List;
import java.util.Map;
+import org.joda.time.DateTime;
+
import org.apache.pig.backend.executionengine.ExecException;
import org.apache.pig.backend.hadoop.executionengine.physicalLayer.POStatus;
import org.apache.pig.backend.hadoop.executionengine.physicalLayer.Result;
@@ -139,6 +141,12 @@ public class ConstantExpression extends
}
@Override
+ public Result getNext(DateTime dt) throws ExecException {
+ return genericGetNext(dt, DataType.DATETIME);
+
+ }
+
+ @Override
public Result getNext(String s) throws ExecException {
return genericGetNext(s, DataType.CHARARRAY);
Modified: pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/EqualToExpr.java
URL: http://svn.apache.org/viewvc/pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/EqualToExpr.java?rev=1376800&r1=1376799&r2=1376800&view=diff
==============================================================================
--- pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/EqualToExpr.java (original)
+++ pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/EqualToExpr.java Fri Aug 24 00:18:05 2012
@@ -70,6 +70,7 @@ public class EqualToExpr extends BinaryC
case DataType.BOOLEAN:
case DataType.INTEGER:
case DataType.LONG:
+ case DataType.DATETIME:
case DataType.CHARARRAY:
case DataType.TUPLE:
case DataType.MAP: {
Modified: pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/ExpressionOperator.java
URL: http://svn.apache.org/viewvc/pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/ExpressionOperator.java?rev=1376800&r1=1376799&r2=1376800&view=diff
==============================================================================
--- pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/ExpressionOperator.java (original)
+++ pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/ExpressionOperator.java Fri Aug 24 00:18:05 2012
@@ -21,6 +21,8 @@ package org.apache.pig.backend.hadoop.ex
import java.util.List;
import java.util.Map;
+import org.joda.time.DateTime;
+
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.pig.backend.executionengine.ExecException;
@@ -183,6 +185,14 @@ public abstract class ExpressionOperator
/**
* Drive all the UDFs in accumulative mode
*/
+ protected Result accumChild(List<ExpressionOperator> child, DateTime dt) throws ExecException {
+ return accumChild(child, dt, DataType.DATETIME);
+
+ }
+
+ /**
+ * Drive all the UDFs in accumulative mode
+ */
protected Result accumChild(List<ExpressionOperator> child, String s) throws ExecException {
return accumChild(child, s, DataType.CHARARRAY);
Modified: pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/GTOrEqualToExpr.java
URL: http://svn.apache.org/viewvc/pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/GTOrEqualToExpr.java?rev=1376800&r1=1376799&r2=1376800&view=diff
==============================================================================
--- pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/GTOrEqualToExpr.java (original)
+++ pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/GTOrEqualToExpr.java Fri Aug 24 00:18:05 2012
@@ -67,6 +67,7 @@ public class GTOrEqualToExpr extends Bin
case DataType.FLOAT:
case DataType.INTEGER:
case DataType.LONG:
+ case DataType.DATETIME:
case DataType.CHARARRAY: {
Object dummy = getDummy(operandType);
Result r = accumChild(null, dummy, operandType);
Modified: pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/GreaterThanExpr.java
URL: http://svn.apache.org/viewvc/pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/GreaterThanExpr.java?rev=1376800&r1=1376799&r2=1376800&view=diff
==============================================================================
--- pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/GreaterThanExpr.java (original)
+++ pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/GreaterThanExpr.java Fri Aug 24 00:18:05 2012
@@ -63,6 +63,7 @@ public class GreaterThanExpr extends Bin
case DataType.FLOAT:
case DataType.INTEGER:
case DataType.LONG:
+ case DataType.DATETIME:
case DataType.CHARARRAY: {
Object dummy = getDummy(operandType);
Result r = accumChild(null, dummy, operandType);
Modified: pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/LTOrEqualToExpr.java
URL: http://svn.apache.org/viewvc/pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/LTOrEqualToExpr.java?rev=1376800&r1=1376799&r2=1376800&view=diff
==============================================================================
--- pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/LTOrEqualToExpr.java (original)
+++ pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/LTOrEqualToExpr.java Fri Aug 24 00:18:05 2012
@@ -67,6 +67,7 @@ public class LTOrEqualToExpr extends Bin
case DataType.FLOAT:
case DataType.INTEGER:
case DataType.LONG:
+ case DataType.DATETIME:
case DataType.CHARARRAY: {
Object dummy = getDummy(operandType);
Result r = accumChild(null, dummy, operandType);
Modified: pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/LessThanExpr.java
URL: http://svn.apache.org/viewvc/pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/LessThanExpr.java?rev=1376800&r1=1376799&r2=1376800&view=diff
==============================================================================
--- pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/LessThanExpr.java (original)
+++ pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/LessThanExpr.java Fri Aug 24 00:18:05 2012
@@ -67,6 +67,7 @@ public class LessThanExpr extends Binary
case DataType.FLOAT:
case DataType.INTEGER:
case DataType.LONG:
+ case DataType.DATETIME:
case DataType.CHARARRAY: {
Object dummy = getDummy(operandType);
Result r = accumChild(null, dummy, operandType);
Modified: pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/NotEqualToExpr.java
URL: http://svn.apache.org/viewvc/pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/NotEqualToExpr.java?rev=1376800&r1=1376799&r2=1376800&view=diff
==============================================================================
--- pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/NotEqualToExpr.java (original)
+++ pig/trunk/src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/expressionOperators/NotEqualToExpr.java Fri Aug 24 00:18:05 2012
@@ -70,6 +70,7 @@ public class NotEqualToExpr extends Bina
case DataType.BOOLEAN:
case DataType.INTEGER:
case DataType.LONG:
+ case DataType.DATETIME:
case DataType.CHARARRAY:
case DataType.TUPLE:
case DataType.MAP: {