use of org.apache.hadoop.hive.ql.optimizer.ReduceSinkMapJoinProc in project hive by apache.
the class TezCompiler method generateTaskTree.
@Override
protected void generateTaskTree(List<Task<? extends Serializable>> rootTasks, ParseContext pCtx, List<Task<MoveWork>> mvTask, Set<ReadEntity> inputs, Set<WriteEntity> outputs) throws SemanticException {
PerfLogger perfLogger = SessionState.getPerfLogger();
perfLogger.PerfLogBegin(this.getClass().getName(), PerfLogger.TEZ_COMPILER);
ParseContext tempParseContext = getParseContext(pCtx, rootTasks);
GenTezUtils utils = new GenTezUtils();
GenTezWork genTezWork = new GenTezWork(utils);
GenTezProcContext procCtx = new GenTezProcContext(conf, tempParseContext, mvTask, rootTasks, inputs, outputs);
// create a walker which walks the tree in a DFS manner while maintaining
// the operator stack.
// The dispatcher generates the plan from the operator tree
Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
opRules.put(new RuleRegExp("Split Work - ReduceSink", ReduceSinkOperator.getOperatorName() + "%"), genTezWork);
opRules.put(new RuleRegExp("No more walking on ReduceSink-MapJoin", MapJoinOperator.getOperatorName() + "%"), new ReduceSinkMapJoinProc());
opRules.put(new RuleRegExp("Recognize a Sorted Merge Join operator to setup the right edge and" + " stop traversing the DummyStore-MapJoin", CommonMergeJoinOperator.getOperatorName() + "%"), new MergeJoinProc());
opRules.put(new RuleRegExp("Split Work + Move/Merge - FileSink", FileSinkOperator.getOperatorName() + "%"), new CompositeProcessor(new FileSinkProcessor(), genTezWork));
opRules.put(new RuleRegExp("Split work - DummyStore", DummyStoreOperator.getOperatorName() + "%"), genTezWork);
opRules.put(new RuleRegExp("Handle Potential Analyze Command", TableScanOperator.getOperatorName() + "%"), new ProcessAnalyzeTable(utils));
opRules.put(new RuleRegExp("Remember union", UnionOperator.getOperatorName() + "%"), new UnionProcessor());
opRules.put(new RuleRegExp("AppMasterEventOperator", AppMasterEventOperator.getOperatorName() + "%"), new AppMasterEventProcessor());
// The dispatcher fires the processor corresponding to the closest matching
// rule and passes the context along
Dispatcher disp = new DefaultRuleDispatcher(null, opRules, procCtx);
List<Node> topNodes = new ArrayList<Node>();
topNodes.addAll(pCtx.getTopOps().values());
GraphWalker ogw = new GenTezWorkWalker(disp, procCtx);
ogw.startWalking(topNodes, null);
// we need to specify the reserved memory for each work that contains Map Join
for (List<BaseWork> baseWorkList : procCtx.mapJoinWorkMap.values()) {
for (BaseWork w : baseWorkList) {
// work should be the smallest unit for memory allocation
w.setReservedMemoryMB((int) (conf.getLongVar(ConfVars.HIVECONVERTJOINNOCONDITIONALTASKTHRESHOLD) / (1024 * 1024)));
}
}
// we need to clone some operator plans and remove union operators still
int indexForTezUnion = 0;
for (BaseWork w : procCtx.workWithUnionOperators) {
GenTezUtils.removeUnionOperators(procCtx, w, indexForTezUnion++);
}
// then we make sure the file sink operators are set up right
for (FileSinkOperator fileSink : procCtx.fileSinkSet) {
GenTezUtils.processFileSink(procCtx, fileSink);
}
// Connect any edges required for min/max pushdown
if (pCtx.getRsToRuntimeValuesInfoMap().size() > 0) {
for (ReduceSinkOperator rs : pCtx.getRsToRuntimeValuesInfoMap().keySet()) {
// Process min/max
GenTezUtils.processDynamicMinMaxPushDownOperator(procCtx, pCtx.getRsToRuntimeValuesInfoMap().get(rs), rs);
}
}
// and finally we hook up any events that need to be sent to the tez AM
LOG.debug("There are " + procCtx.eventOperatorSet.size() + " app master events.");
for (AppMasterEventOperator event : procCtx.eventOperatorSet) {
LOG.debug("Handling AppMasterEventOperator: " + event);
GenTezUtils.processAppMasterEvent(procCtx, event);
}
perfLogger.PerfLogEnd(this.getClass().getName(), PerfLogger.TEZ_COMPILER, "generateTaskTree");
}
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