/**
* Change the algebriac function type for algebraic functions in map and combine In map and
* combine the algebraic functions will be leaf of the plan
*
* @param fe
* @param type
* @throws PlanException
*/
private static void changeFunc(POForEach fe, byte type) throws PlanException {
for (PhysicalPlan plan : fe.getInputPlans()) {
List<PhysicalOperator> leaves = plan.getLeaves();
if (leaves == null || leaves.size() != 1) {
int errCode = 2019;
String msg = "Expected to find plan with single leaf. Found " + leaves.size() + " leaves.";
throw new PlanException(msg, errCode, PigException.BUG);
}
PhysicalOperator leaf = leaves.get(0);
if (leaf instanceof POProject) {
continue;
}
if (!(leaf instanceof POUserFunc)) {
int errCode = 2020;
String msg =
"Expected to find plan with UDF or project leaf. Found "
+ leaf.getClass().getSimpleName();
throw new PlanException(msg, errCode, PigException.BUG);
}
POUserFunc func = (POUserFunc) leaf;
try {
func.setAlgebraicFunction(type);
} catch (ExecException e) {
int errCode = 2075;
String msg = "Could not set algebraic function type.";
throw new PlanException(msg, errCode, PigException.BUG, e);
}
}
}
@Override
public void visitProject(POProject proj) throws VisitorException {
// check if this project is preceded by PODistinct and
// has the return type bag
List<PhysicalOperator> preds = mPlan.getPredecessors(proj);
if (preds == null) return; // this is a leaf project and so not interesting for patching
PhysicalOperator pred = preds.get(0);
if (preds.size() == 1 && pred instanceof PODistinct) {
if (distinct != null) {
// we should not already have been patched since the
// Project-Distinct pair should occur only once
int errCode = 2076;
String msg =
"Unexpected Project-Distinct pair while trying to set up plans for use with combiner.";
throw new OptimizerException(msg, errCode, PigException.BUG);
}
// we have stick in the POUserfunc(org.apache.pig.builtin.Distinct)[DataBag]
// in place of the Project-PODistinct pair
PhysicalOperator distinctPredecessor = mPlan.getPredecessors(pred).get(0);
POUserFunc func = null;
try {
String scope = proj.getOperatorKey().scope;
List<PhysicalOperator> funcInput = new ArrayList<PhysicalOperator>();
FuncSpec fSpec = new FuncSpec(DISTINCT_UDF_CLASSNAME);
funcInput.add(distinctPredecessor);
// explicitly set distinctPredecessor's result type to
// be tuple - this is relevant when distinctPredecessor is
// originally a POForeach with return type BAG - we need to
// set it to tuple so we get a stream of tuples.
distinctPredecessor.setResultType(DataType.TUPLE);
func =
new POUserFunc(
new OperatorKey(scope, NodeIdGenerator.getGenerator().getNextNodeId(scope)),
-1,
funcInput,
fSpec);
func.setResultType(DataType.BAG);
mPlan.replace(proj, func);
mPlan.remove(pred);
// connect the the newly added "func" to
// the predecessor to the earlier PODistinct
mPlan.connect(distinctPredecessor, func);
} catch (PlanException e) {
int errCode = 2077;
String msg = "Problem with reconfiguring plan to add distinct built-in function.";
throw new OptimizerException(msg, errCode, PigException.BUG, e);
}
distinct = func;
}
}
/**
* The reduce function which packages the key and List<Tuple> into key, Bag<Tuple>
* after converting Hadoop type key into Pig type. The package result is either collected as is,
* if the reduce plan is empty or after passing through the reduce plan.
*/
@Override
protected void reduce(PigNullableWritable key, Iterable<NullableTuple> tupIter, Context context)
throws IOException, InterruptedException {
if (!initialized) {
initialized = true;
// cache the collector for use in runPipeline()
// which could additionally be called from close()
this.outputCollector = context;
pigReporter.setRep(context);
PhysicalOperator.setReporter(pigReporter);
boolean aggregateWarning =
"true".equalsIgnoreCase(pigContext.getProperties().getProperty("aggregate.warning"));
PigStatusReporter pigStatusReporter = PigStatusReporter.getInstance();
pigStatusReporter.setContext(new MRTaskContext(context));
PigHadoopLogger pigHadoopLogger = PigHadoopLogger.getInstance();
pigHadoopLogger.setReporter(pigStatusReporter);
pigHadoopLogger.setAggregate(aggregateWarning);
PhysicalOperator.setPigLogger(pigHadoopLogger);
if (!inIllustrator)
for (POStore store : stores) {
MapReducePOStoreImpl impl = new MapReducePOStoreImpl(context);
store.setStoreImpl(impl);
store.setUp();
}
}
// In the case we optimize the join, we combine
// POPackage and POForeach - so we could get many
// tuples out of the getnext() call of POJoinPackage
// In this case, we process till we see EOP from
// POJoinPacakage.getNext()
if (pack.getPkgr() instanceof JoinPackager) {
pack.attachInput(key, tupIter.iterator());
while (true) {
if (processOnePackageOutput(context)) break;
}
} else {
// join is not optimized, so package will
// give only one tuple out for the key
pack.attachInput(key, tupIter.iterator());
processOnePackageOutput(context);
}
}
/**
* @param op
* @param index
* @param plan
* @throws PlanException
*/
private static void setProjectInput(PhysicalOperator op, PhysicalPlan plan, int index)
throws PlanException {
String scope = op.getOperatorKey().scope;
POProject proj =
new POProject(
new OperatorKey(scope, NodeIdGenerator.getGenerator().getNextNodeId(scope)),
op.getRequestedParallelism(),
index);
proj.setResultType(DataType.BAG);
// Remove old connections and elements from the plan
plan.trimAbove(op);
plan.add(proj);
plan.connect(proj, op);
List<PhysicalOperator> inputs = Lists.newArrayList();
inputs.add(proj);
op.setInputs(inputs);
}
/**
* stolen from JobControlCompiler TODO: refactor it to share this
*
* @param physicalPlan
* @param poLoad
* @param jobConf
* @return
* @throws java.io.IOException
*/
private static JobConf configureLoader(PhysicalPlan physicalPlan, POLoad poLoad, JobConf jobConf)
throws IOException {
// 这部分似乎没用
Job job = new Job(jobConf);
LoadFunc loadFunc = poLoad.getLoadFunc();
loadFunc.setLocation(poLoad.getLFile().getFileName(), job);
// stolen from JobControlCompiler
ArrayList<FileSpec> pigInputs = new ArrayList<FileSpec>();
// Store the inp filespecs
pigInputs.add(poLoad.getLFile());
ArrayList<List<OperatorKey>> inpTargets = Lists.newArrayList();
ArrayList<String> inpSignatures = Lists.newArrayList();
ArrayList<Long> inpLimits = Lists.newArrayList();
// Store the target operators for tuples read
// from this input
List<PhysicalOperator> loadSuccessors = physicalPlan.getSuccessors(poLoad);
List<OperatorKey> loadSuccessorsKeys = Lists.newArrayList();
if (loadSuccessors != null) {
for (PhysicalOperator loadSuccessor : loadSuccessors) {
loadSuccessorsKeys.add(loadSuccessor.getOperatorKey());
}
}
inpTargets.add(loadSuccessorsKeys);
inpSignatures.add(poLoad.getSignature());
inpLimits.add(poLoad.getLimit());
jobConf.set("pig.inputs", ObjectSerializer.serialize(pigInputs));
jobConf.set("pig.inpTargets", ObjectSerializer.serialize(inpTargets));
jobConf.set("pig.inpSignatures", ObjectSerializer.serialize(inpSignatures));
jobConf.set("pig.inpLimits", ObjectSerializer.serialize(inpLimits));
return jobConf;
}
/**
* Recursively clone op and its predecessors from pplan and add them to newplan
*
* @param op
* @param pplan
* @param newplan
* @return
* @throws CloneNotSupportedException
* @throws PlanException
*/
private static PhysicalOperator addPredecessorsToPlan(
PhysicalOperator op, PhysicalPlan pplan, PhysicalPlan newplan)
throws CloneNotSupportedException, PlanException {
PhysicalOperator newOp = op.clone();
newplan.add(newOp);
if (pplan.getPredecessors(op) == null || pplan.getPredecessors(op).size() == 0) {
return newOp;
}
for (PhysicalOperator pred : pplan.getPredecessors(op)) {
PhysicalOperator newPred = addPredecessorsToPlan(pred, pplan, newplan);
newplan.connect(newPred, newOp);
}
return newOp;
}
@Override
protected void runPipeline(PhysicalOperator leaf) throws IOException, InterruptedException {
while (true) {
Result res = leaf.getNextTuple();
if (res.returnStatus == POStatus.STATUS_OK) {
// For POPartitionRearrange, the result is a bag.
// This operator is used for skewed join
if (res.result instanceof DataBag) {
Iterator<Tuple> its = ((DataBag) res.result).iterator();
while (its.hasNext()) {
collect(outputCollector, its.next());
}
} else {
collect(outputCollector, (Tuple) res.result);
}
continue;
}
if (res.returnStatus == POStatus.STATUS_EOP) {
return;
}
if (res.returnStatus == POStatus.STATUS_NULL) {
continue;
}
if (res.returnStatus == POStatus.STATUS_ERR) {
// remember that we had an issue so that in
// close() we can do the right thing
errorInMap = true;
// if there is an errmessage use it
String errMsg;
if (res.result != null) {
errMsg = "Received Error while " + "processing the map plan: " + res.result;
} else {
errMsg = "Received Error while " + "processing the map plan.";
}
int errCode = 2055;
throw new ExecException(errMsg, errCode, PigException.BUG);
}
}
}
/**
* Will be called once all the intermediate keys and values are processed. So right place to
* stop the reporter thread.
*/
@Override
protected void cleanup(Context context) throws IOException, InterruptedException {
super.cleanup(context);
if (errorInReduce) {
// there was an error in reduce - just return
return;
}
if (PigMapReduce.sJobConfInternal.get().get("pig.stream.in.reduce", "false").equals("true")) {
// If there is a stream in the pipeline we could
// potentially have more to process - so lets
// set the flag stating that all map input has been sent
// already and then lets run the pipeline one more time
// This will result in nothing happening in the case
// where there is no stream in the pipeline
rp.endOfAllInput = true;
runPipeline(leaf);
}
if (!inIllustrator) {
for (POStore store : stores) {
if (!initialized) {
MapReducePOStoreImpl impl = new MapReducePOStoreImpl(context);
store.setStoreImpl(impl);
store.setUp();
}
store.tearDown();
}
}
// Calling EvalFunc.finish()
UDFFinishVisitor finisher =
new UDFFinishVisitor(rp, new DependencyOrderWalker<PhysicalOperator, PhysicalPlan>(rp));
try {
finisher.visit();
} catch (VisitorException e) {
throw new IOException("Error trying to finish UDFs", e);
}
PhysicalOperator.setReporter(null);
initialized = false;
}
/**
* @param leaf
* @throws InterruptedException
* @throws IOException
*/
protected void runPipeline(PhysicalOperator leaf) throws InterruptedException, IOException {
while (true) {
Result redRes = leaf.getNextTuple();
if (redRes.returnStatus == POStatus.STATUS_OK) {
try {
outputCollector.write(null, (Tuple) redRes.result);
} catch (Exception e) {
throw new IOException(e);
}
continue;
}
if (redRes.returnStatus == POStatus.STATUS_EOP) {
return;
}
if (redRes.returnStatus == POStatus.STATUS_NULL) {
continue;
}
if (redRes.returnStatus == POStatus.STATUS_ERR) {
// remember that we had an issue so that in
// close() we can do the right thing
errorInReduce = true;
// if there is an errmessage use it
String msg;
if (redRes.result != null) {
msg = "Received Error while " + "processing the reduce plan: " + redRes.result;
} else {
msg = "Received Error while " + "processing the reduce plan.";
}
int errCode = 2090;
throw new ExecException(msg, errCode, PigException.BUG);
}
}
}
/**
* The reduce function which packages the key and List<Tuple> into key, Bag<Tuple>
* after converting Hadoop type key into Pig type. The package result is either collected as is,
* if the reduce plan is empty or after passing through the reduce plan.
*/
@Override
protected void reduce(PigNullableWritable key, Iterable<NullableTuple> tupIter, Context context)
throws IOException, InterruptedException {
if (!initialized) {
initialized = true;
// cache the collector for use in runPipeline()
// which could additionally be called from close()
this.outputCollector = context;
pigReporter.setRep(context);
PhysicalOperator.setReporter(pigReporter);
boolean aggregateWarning =
"true".equalsIgnoreCase(pigContext.getProperties().getProperty("aggregate.warning"));
PigStatusReporter pigStatusReporter = PigStatusReporter.getInstance();
pigStatusReporter.setContext(new MRTaskContext(context));
PigHadoopLogger pigHadoopLogger = PigHadoopLogger.getInstance();
pigHadoopLogger.setReporter(pigStatusReporter);
pigHadoopLogger.setAggregate(aggregateWarning);
PhysicalOperator.setPigLogger(pigHadoopLogger);
for (POStore store : stores) {
MapReducePOStoreImpl impl = new MapReducePOStoreImpl(context);
store.setStoreImpl(impl);
store.setUp();
}
}
// If the keyType is not a tuple, the MapWithComparator.collect()
// would have wrapped the key into a tuple so that the
// comparison UDF used in the order by can process it.
// We need to unwrap the key out of the tuple and hand it
// to the POPackage for processing
if (keyType != DataType.TUPLE) {
Tuple t = (Tuple) (key.getValueAsPigType());
try {
key = HDataType.getWritableComparableTypes(t.get(0), keyType);
} catch (ExecException e) {
throw e;
}
}
pack.attachInput(key, tupIter.iterator());
Result res = pack.getNextTuple();
if (res.returnStatus == POStatus.STATUS_OK) {
Tuple packRes = (Tuple) res.result;
if (rp.isEmpty()) {
context.write(null, packRes);
return;
}
rp.attachInput(packRes);
List<PhysicalOperator> leaves = rp.getLeaves();
PhysicalOperator leaf = leaves.get(0);
runPipeline(leaf);
}
if (res.returnStatus == POStatus.STATUS_NULL) {
return;
}
if (res.returnStatus == POStatus.STATUS_ERR) {
int errCode = 2093;
String msg = "Encountered error in package operator while processing group.";
throw new ExecException(msg, errCode, PigException.BUG);
}
}
@Override
protected void execute(LogicalExpression op) throws FrontendException {
if (op instanceof UserFuncExpression) {
UserFuncExpression udf = (UserFuncExpression) op;
if (!udf.getEvalFunc().allowCompileTimeCalculation()) {
return;
}
}
boolean valSet = false;
Object val = null;
if (currentWalker.getPlan().getSuccessors(op) != null) {
// If has successors and all successors are constant, calculate the constant
for (Operator succ : currentWalker.getPlan().getSuccessors(op)) {
if (!(succ instanceof ConstantExpression)) {
return;
}
}
// All successors are constant, calculate the value
OperatorPlan expLogicalPlan = new LogicalExpressionPlan();
((BaseOperatorPlan) currentWalker.getPlan())
.moveTree(op, (BaseOperatorPlan) expLogicalPlan);
PhysicalPlan expPhysicalPlan = new PhysicalPlan();
Map<Operator, PhysicalOperator> logToPhyMap = new HashMap<Operator, PhysicalOperator>();
PlanWalker childWalker = new ReverseDependencyOrderWalkerWOSeenChk(expLogicalPlan);
// Save the old walker and use childWalker as current Walker
pushWalker(childWalker);
ExpToPhyTranslationVisitor expTranslationVisitor =
new ExpToPhyTranslationVisitor(
expLogicalPlan, childWalker, currentOp, expPhysicalPlan, logToPhyMap);
expTranslationVisitor.visit();
popWalker();
PhysicalOperator root = expPhysicalPlan.getLeaves().get(0);
try {
UDFContext.getUDFContext()
.addJobConf(ConfigurationUtil.toConfiguration(pc.getProperties(), true));
PigHadoopLogger pigHadoopLogger = PigHadoopLogger.getInstance();
PhysicalOperator.setPigLogger(pigHadoopLogger);
setDefaultTimeZone();
val = root.getNext(root.getResultType()).result;
restoreDefaultTimeZone();
UDFContext.getUDFContext().addJobConf(null);
} catch (ExecException e) {
throw new FrontendException(e);
}
valSet = true;
} else if (op instanceof UserFuncExpression) {
// If solo UDF, calculate UDF
UserFuncExpression udf = (UserFuncExpression) op;
try {
UDFContext.getUDFContext()
.addJobConf(ConfigurationUtil.toConfiguration(pc.getProperties(), true));
setDefaultTimeZone();
val = udf.getEvalFunc().exec(null);
restoreDefaultTimeZone();
UDFContext.getUDFContext().addJobConf(null);
} catch (IOException e) {
throw new FrontendException(e);
}
valSet = true;
}
if (valSet) {
ConstantExpression constantExpr;
constantExpr = new ConstantExpression(currentWalker.getPlan(), val);
constantExpr.inheritSchema(op);
currentWalker.getPlan().replace(op, constantExpr);
}
}
