use of org.apache.hadoop.hive.ql.optimizer.spark.SparkReduceSinkMapJoinProc in project hive by apache.
the class SparkCompiler method generateTaskTreeHelper.
private void generateTaskTreeHelper(GenSparkProcContext procCtx, List<Node> topNodes) throws SemanticException {
// 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>();
GenSparkWork genSparkWork = new GenSparkWork(GenSparkUtils.getUtils());
opRules.put(new RuleRegExp("Split Work - ReduceSink", ReduceSinkOperator.getOperatorName() + "%"), genSparkWork);
opRules.put(new RuleRegExp("Split Work - SparkPartitionPruningSink", SparkPartitionPruningSinkOperator.getOperatorName() + "%"), genSparkWork);
opRules.put(new TypeRule(MapJoinOperator.class), new SparkReduceSinkMapJoinProc());
opRules.put(new RuleRegExp("Split Work + Move/Merge - FileSink", FileSinkOperator.getOperatorName() + "%"), new CompositeProcessor(new SparkFileSinkProcessor(), genSparkWork));
opRules.put(new RuleRegExp("Handle Analyze Command", TableScanOperator.getOperatorName() + "%"), new SparkProcessAnalyzeTable(GenSparkUtils.getUtils()));
opRules.put(new RuleRegExp("Remember union", UnionOperator.getOperatorName() + "%"), new NodeProcessor() {
@Override
public Object process(Node n, Stack<Node> s, NodeProcessorCtx procCtx, Object... os) throws SemanticException {
GenSparkProcContext context = (GenSparkProcContext) procCtx;
UnionOperator union = (UnionOperator) n;
// simply need to remember that we've seen a union.
context.currentUnionOperators.add(union);
return null;
}
});
/**
* SMB join case: (Big) (Small) (Small)
* TS TS TS
* \ | /
* \ DS DS
* \ | /
* SMBJoinOP
*
* Some of the other processors are expecting only one traversal beyond SMBJoinOp.
* We need to traverse from the big-table path only, and stop traversing on the
* small-table path once we reach SMBJoinOp.
* Also add some SMB join information to the context, so we can properly annotate
* the MapWork later on.
*/
opRules.put(new TypeRule(SMBMapJoinOperator.class), new NodeProcessor() {
@Override
public Object process(Node currNode, Stack<Node> stack, NodeProcessorCtx procCtx, Object... os) throws SemanticException {
GenSparkProcContext context = (GenSparkProcContext) procCtx;
SMBMapJoinOperator currSmbNode = (SMBMapJoinOperator) currNode;
SparkSMBMapJoinInfo smbMapJoinCtx = context.smbMapJoinCtxMap.get(currSmbNode);
if (smbMapJoinCtx == null) {
smbMapJoinCtx = new SparkSMBMapJoinInfo();
context.smbMapJoinCtxMap.put(currSmbNode, smbMapJoinCtx);
}
for (Node stackNode : stack) {
if (stackNode instanceof DummyStoreOperator) {
//If coming from small-table side, do some book-keeping, and skip traversal.
smbMapJoinCtx.smallTableRootOps.add(context.currentRootOperator);
return true;
}
}
//If coming from big-table side, do some book-keeping, and continue traversal
smbMapJoinCtx.bigTableRootOp = context.currentRootOperator;
return false;
}
});
// The dispatcher fires the processor corresponding to the closest matching
// rule and passes the context along
Dispatcher disp = new DefaultRuleDispatcher(null, opRules, procCtx);
GraphWalker ogw = new GenSparkWorkWalker(disp, procCtx);
ogw.startWalking(topNodes, null);
}
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