org.apache.hadoop.hive.ql.ppd.SimplePredicatePushDown Maven / Gradle / Ivy
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package org.apache.hadoop.hive.ql.ppd;
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.LateralViewForwardOperator;
import org.apache.hadoop.hive.ql.exec.LateralViewJoinOperator;
import org.apache.hadoop.hive.ql.exec.LimitOperator;
import org.apache.hadoop.hive.ql.exec.Operator;
import org.apache.hadoop.hive.ql.exec.PTFOperator;
import org.apache.hadoop.hive.ql.exec.ReduceSinkOperator;
import org.apache.hadoop.hive.ql.exec.ScriptOperator;
import org.apache.hadoop.hive.ql.exec.TableScanOperator;
import org.apache.hadoop.hive.ql.exec.UDTFOperator;
import org.apache.hadoop.hive.ql.lib.DefaultGraphWalker;
import org.apache.hadoop.hive.ql.lib.DefaultRuleDispatcher;
import org.apache.hadoop.hive.ql.lib.SemanticDispatcher;
import org.apache.hadoop.hive.ql.lib.SemanticGraphWalker;
import org.apache.hadoop.hive.ql.lib.Node;
import org.apache.hadoop.hive.ql.lib.SemanticNodeProcessor;
import org.apache.hadoop.hive.ql.lib.SemanticRule;
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;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
public class SimplePredicatePushDown extends Transform {
private static final Logger LOG = LoggerFactory.getLogger(SimplePredicatePushDown.class);
private ParseContext pGraphContext;
@Override
public ParseContext transform(ParseContext pctx) throws SemanticException {
pGraphContext = pctx;
// create a the context for walking operators
OpWalkerInfo opWalkerInfo = new OpWalkerInfo(pGraphContext);
Map opRules = new LinkedHashMap();
opRules.put(new RuleRegExp("R1",
FilterOperator.getOperatorName() + "%"),
OpProcFactory.getFilterSyntheticJoinPredicateProc());
opRules.put(new RuleRegExp("R2",
PTFOperator.getOperatorName() + "%"),
OpProcFactory.getPTFProc());
opRules.put(new RuleRegExp("R3",
CommonJoinOperator.getOperatorName() + "%"),
OpProcFactory.getJoinProc());
opRules.put(new RuleRegExp("R4",
TableScanOperator.getOperatorName() + "%"),
OpProcFactory.getTSProc());
opRules.put(new RuleRegExp("R5",
ScriptOperator.getOperatorName() + "%"),
OpProcFactory.getSCRProc());
opRules.put(new RuleRegExp("R6",
LimitOperator.getOperatorName() + "%"),
OpProcFactory.getLIMProc());
opRules.put(new RuleRegExp("R7",
UDTFOperator.getOperatorName() + "%"),
OpProcFactory.getUDTFProc());
opRules.put(new RuleRegExp("R8",
LateralViewForwardOperator.getOperatorName() + "%"),
OpProcFactory.getLVFProc());
opRules.put(new RuleRegExp("R9",
LateralViewJoinOperator.getOperatorName() + "%"),
OpProcFactory.getLVJProc());
opRules.put(new RuleRegExp("R10",
ReduceSinkOperator.getOperatorName() + "%"),
OpProcFactory.getRSProc());
// The dispatcher fires the processor corresponding to the closest matching
// rule and passes the context along
SemanticDispatcher disp = new DefaultRuleDispatcher(OpProcFactory.getDefaultProc(),
opRules, opWalkerInfo);
SemanticGraphWalker ogw = new DefaultGraphWalker(disp);
// Create a list of topop nodes
ArrayList topNodes = new ArrayList();
topNodes.addAll(pGraphContext.getTopOps().values());
ogw.startWalking(topNodes, null);
if (LOG.isDebugEnabled()) {
LOG.debug("After PPD:\n" + Operator.toString(pctx.getTopOps().values()));
}
return pGraphContext;
}
}