@Override
public ParseContext transform(ParseContext pctx) throws SemanticException {
Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
// process reduce sink added by hive.enforce.bucketing or hive.enforce.sorting
opRules.put(
new RuleRegExp(
"R1",
ReduceSinkOperator.getOperatorName()
+ "%"
+ SelectOperator.getOperatorName()
+ "%"
+ FileSinkOperator.getOperatorName()
+ "%"),
getBucketSortReduceSinkProc(pctx));
// The dispatcher fires the processor corresponding to the closest matching rule
Dispatcher disp = new DefaultRuleDispatcher(getDefaultProc(), opRules, null);
GraphWalker ogw = new DefaultGraphWalker(disp);
// Create a list of top nodes
ArrayList<Node> topNodes = new ArrayList<Node>();
topNodes.addAll(pctx.getTopOps().values());
ogw.startWalking(topNodes, null);
return pctx;
}
@Override
public ParseContext transform(ParseContext pCtx) 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>();
String FS = FileSinkOperator.getOperatorName() + "%";
opRules.put(new RuleRegExp("Sorted Dynamic Partition", FS), getSortDynPartProc(pCtx));
Dispatcher disp = new DefaultRuleDispatcher(null, opRules, null);
GraphWalker ogw = new DefaultGraphWalker(disp);
ArrayList<Node> topNodes = new ArrayList<Node>();
topNodes.addAll(pCtx.getTopOps().values());
ogw.startWalking(topNodes, null);
return pCtx;
}
