org.apache.hadoop.hive.ql.optimizer.stats.annotation.AnnotateWithStatistics Maven / Gradle / Ivy
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* to you under the Apache License, Version 2.0 (the
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package org.apache.hadoop.hive.ql.optimizer.stats.annotation;
import java.util.ArrayList;
import java.util.LinkedHashMap;
import java.util.Map;
import org.apache.hadoop.hive.ql.exec.CommonJoinOperator;
import org.apache.hadoop.hive.ql.exec.FilterOperator;
import org.apache.hadoop.hive.ql.exec.GroupByOperator;
import org.apache.hadoop.hive.ql.exec.LimitOperator;
import org.apache.hadoop.hive.ql.exec.MapJoinOperator;
import org.apache.hadoop.hive.ql.exec.ReduceSinkOperator;
import org.apache.hadoop.hive.ql.exec.SelectOperator;
import org.apache.hadoop.hive.ql.exec.TableScanOperator;
import org.apache.hadoop.hive.ql.lib.DefaultRuleDispatcher;
import org.apache.hadoop.hive.ql.lib.Dispatcher;
import org.apache.hadoop.hive.ql.lib.GraphWalker;
import org.apache.hadoop.hive.ql.lib.Node;
import org.apache.hadoop.hive.ql.lib.NodeProcessor;
import org.apache.hadoop.hive.ql.lib.PreOrderWalker;
import org.apache.hadoop.hive.ql.lib.Rule;
import org.apache.hadoop.hive.ql.lib.RuleRegExp;
import org.apache.hadoop.hive.ql.optimizer.Transform;
import org.apache.hadoop.hive.ql.parse.ParseContext;
import org.apache.hadoop.hive.ql.parse.SemanticException;
public class AnnotateWithStatistics implements Transform {
@Override
public ParseContext transform(ParseContext pctx) throws SemanticException {
AnnotateStatsProcCtx aspCtx = new AnnotateStatsProcCtx(pctx);
// 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 opRules = new LinkedHashMap();
opRules.put(new RuleRegExp("TS", TableScanOperator.getOperatorName() + "%"),
StatsRulesProcFactory.getTableScanRule());
opRules.put(new RuleRegExp("SEL", SelectOperator.getOperatorName() + "%"),
StatsRulesProcFactory.getSelectRule());
opRules.put(new RuleRegExp("FIL", FilterOperator.getOperatorName() + "%"),
StatsRulesProcFactory.getFilterRule());
opRules.put(new RuleRegExp("GBY", GroupByOperator.getOperatorName() + "%"),
StatsRulesProcFactory.getGroupByRule());
opRules.put(new RuleRegExp("JOIN", CommonJoinOperator.getOperatorName() + "%|"
+ MapJoinOperator.getOperatorName() + "%"), StatsRulesProcFactory.getJoinRule());
opRules.put(new RuleRegExp("LIM", LimitOperator.getOperatorName() + "%"),
StatsRulesProcFactory.getLimitRule());
opRules.put(new RuleRegExp("RS", ReduceSinkOperator.getOperatorName() + "%"),
StatsRulesProcFactory.getReduceSinkRule());
// The dispatcher fires the processor corresponding to the closest matching
// rule and passes the context along
Dispatcher disp = new DefaultRuleDispatcher(StatsRulesProcFactory.getDefaultRule(), opRules,
aspCtx);
GraphWalker ogw = new PreOrderWalker(disp);
// Create a list of topop nodes
ArrayList topNodes = new ArrayList();
topNodes.addAll(pctx.getTopOps().values());
ogw.startWalking(topNodes, null);
return pctx;
}
}