org.apache.hadoop.hive.ql.ppd.OpProcFactory Maven / Gradle / Ivy
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* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.hadoop.hive.ql.ppd;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.Set;
import java.util.Stack;
import com.facebook.presto.hive.$internal.org.apache.commons.logging.Log;
import com.facebook.presto.hive.$internal.org.apache.commons.logging.LogFactory;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.ql.exec.FilterOperator;
import org.apache.hadoop.hive.ql.exec.JoinOperator;
import org.apache.hadoop.hive.ql.exec.LateralViewJoinOperator;
import org.apache.hadoop.hive.ql.exec.Operator;
import org.apache.hadoop.hive.ql.exec.OperatorFactory;
import org.apache.hadoop.hive.ql.exec.PTFOperator;
import org.apache.hadoop.hive.ql.exec.ReduceSinkOperator;
import org.apache.hadoop.hive.ql.exec.RowSchema;
import org.apache.hadoop.hive.ql.exec.TableScanOperator;
import org.apache.hadoop.hive.ql.exec.Utilities;
import org.apache.hadoop.hive.ql.lib.Node;
import org.apache.hadoop.hive.ql.lib.NodeProcessor;
import org.apache.hadoop.hive.ql.lib.NodeProcessorCtx;
import org.apache.hadoop.hive.ql.metadata.HiveStorageHandler;
import org.apache.hadoop.hive.ql.metadata.HiveStoragePredicateHandler;
import org.apache.hadoop.hive.ql.metadata.Table;
import org.apache.hadoop.hive.ql.parse.SemanticException;
import org.apache.hadoop.hive.ql.parse.WindowingSpec.Direction;
import org.apache.hadoop.hive.ql.plan.ExprNodeColumnDesc;
import org.apache.hadoop.hive.ql.plan.ExprNodeConstantDesc;
import org.apache.hadoop.hive.ql.plan.ExprNodeDesc;
import org.apache.hadoop.hive.ql.plan.ExprNodeDescUtils;
import org.apache.hadoop.hive.ql.plan.ExprNodeGenericFuncDesc;
import org.apache.hadoop.hive.ql.plan.FilterDesc;
import org.apache.hadoop.hive.ql.plan.JoinCondDesc;
import org.apache.hadoop.hive.ql.plan.JoinDesc;
import org.apache.hadoop.hive.ql.plan.OperatorDesc;
import org.apache.hadoop.hive.ql.plan.PTFDesc;
import org.apache.hadoop.hive.ql.plan.ReduceSinkDesc;
import org.apache.hadoop.hive.ql.plan.TableScanDesc;
import org.apache.hadoop.hive.ql.plan.ptf.BoundaryDef;
import org.apache.hadoop.hive.ql.plan.ptf.ValueBoundaryDef;
import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef;
import org.apache.hadoop.hive.ql.plan.ptf.WindowFunctionDef;
import org.apache.hadoop.hive.ql.plan.ptf.WindowTableFunctionDef;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDAFDenseRank.GenericUDAFDenseRankEvaluator;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDAFLead.GenericUDAFLeadEvaluator;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDAFRank.GenericUDAFRankEvaluator;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPEqualOrLessThan;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPLessThan;
import org.apache.hadoop.hive.serde2.Deserializer;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
import org.apache.hadoop.mapred.JobConf;
/**
* Operator factory for predicate pushdown processing of operator graph Each
* operator determines the pushdown predicates by walking the expression tree.
* Each operator merges its own pushdown predicates with those of its children
* Finally the TableScan operator gathers all the predicates and inserts a
* filter operator after itself. TODO: Further optimizations 1) Multi-insert
* case 2) Create a filter operator for those predicates that couldn't be pushed
* to the previous operators in the data flow 3) Merge multiple sequential
* filter predicates into so that plans are more readable 4) Remove predicates
* from filter operators that have been pushed. Currently these pushed
* predicates are evaluated twice.
*/
public final class OpProcFactory {
protected static final Log LOG = LogFactory.getLog(OpProcFactory.class
.getName());
private static ExprWalkerInfo getChildWalkerInfo(Operator current, OpWalkerInfo owi) {
if (current.getNumChild() == 0) {
return null;
}
if (current.getNumChild() > 1) {
// ppd for multi-insert query is not yet implemented
// no-op for leafs
for (Operator child : current.getChildOperators()) {
removeCandidates(child, owi); // remove candidated filters on this branch
}
return null;
}
return owi.getPrunedPreds(current.getChildOperators().get(0));
}
private static void removeCandidates(Operator operator, OpWalkerInfo owi) {
if (operator instanceof FilterOperator) {
owi.getCandidateFilterOps().remove(operator);
}
if (operator.getChildOperators() != null) {
for (Operator child : operator.getChildOperators()) {
removeCandidates(child, owi);
}
}
}
/**
* Processor for Script Operator Prevents any predicates being pushed.
*/
public static class ScriptPPD extends DefaultPPD implements NodeProcessor {
@Override
public Object process(Node nd, Stack stack, NodeProcessorCtx procCtx,
Object... nodeOutputs) throws SemanticException {
LOG.info("Processing for " + nd.getName() + "("
+ ((Operator) nd).getIdentifier() + ")");
// script operator is a black-box to hive so no optimization here
// assuming that nothing can be pushed above the script op
// same with LIMIT op
// create a filter with all children predicates
OpWalkerInfo owi = (OpWalkerInfo) procCtx;
ExprWalkerInfo childInfo = getChildWalkerInfo((Operator) nd, owi);
if (childInfo != null && HiveConf.getBoolVar(owi.getParseContext().getConf(),
HiveConf.ConfVars.HIVEPPDREMOVEDUPLICATEFILTERS)) {
ExprWalkerInfo unpushedPreds = mergeChildrenPred(nd, owi, null, false);
return createFilter((Operator)nd, unpushedPreds, owi);
}
return null;
}
}
public static class PTFPPD extends ScriptPPD {
/*
* For WindowingTableFunction if:
* a. there is a Rank/DenseRank function: if there are unpushedPred of the form
* rnkValue < Constant; then use the smallest Constant val as the 'rankLimit'
* on the WindowingTablFn.
* b. If there are no Wdw Fns with an End Boundary past the current row, the
* condition can be pushed down as a limit pushdown(mapGroupBy=true)
*
* (non-Javadoc)
* @see org.apache.hadoop.hive.ql.ppd.OpProcFactory.ScriptPPD#process(org.apache.hadoop.hive.ql.lib.Node, java.util.Stack, org.apache.hadoop.hive.ql.lib.NodeProcessorCtx, java.lang.Object[])
*/
@Override
public Object process(Node nd, Stack stack, NodeProcessorCtx procCtx,
Object... nodeOutputs) throws SemanticException {
LOG.info("Processing for " + nd.getName() + "("
+ ((Operator) nd).getIdentifier() + ")");
OpWalkerInfo owi = (OpWalkerInfo) procCtx;
PTFOperator ptfOp = (PTFOperator) nd;
pushRankLimit(ptfOp, owi);
return super.process(nd, stack, procCtx, nodeOutputs);
}
private void pushRankLimit(PTFOperator ptfOp, OpWalkerInfo owi) throws SemanticException {
PTFDesc conf = ptfOp.getConf();
if ( !conf.forWindowing() ) {
return;
}
float threshold = owi.getParseContext().getConf().getFloatVar(HiveConf.ConfVars.HIVELIMITPUSHDOWNMEMORYUSAGE);
if (threshold <= 0 || threshold >= 1) {
return;
}
WindowTableFunctionDef wTFn = (WindowTableFunctionDef) conf.getFuncDef();
List rFnIdxs = rankingFunctions(wTFn);
if ( rFnIdxs.size() == 0 ) {
return;
}
ExprWalkerInfo childInfo = getChildWalkerInfo(ptfOp, owi);
if (childInfo == null) {
return;
}
List preds = new ArrayList();
Iterator> iterator = childInfo.getFinalCandidates().values().iterator();
while (iterator.hasNext()) {
for (ExprNodeDesc pred : iterator.next()) {
preds = ExprNodeDescUtils.split(pred, preds);
}
}
int rLimit = -1;
int fnIdx = -1;
for(ExprNodeDesc pred : preds) {
int[] pLimit = getLimit(wTFn, rFnIdxs, pred);
if ( pLimit != null ) {
if ( rLimit == -1 || rLimit >= pLimit[0] ) {
rLimit = pLimit[0];
fnIdx = pLimit[1];
}
}
}
if ( rLimit != -1 ) {
wTFn.setRankLimit(rLimit);
wTFn.setRankLimitFunction(fnIdx);
if ( canPushLimitToReduceSink(wTFn)) {
pushRankLimitToRedSink(ptfOp, owi.getParseContext().getConf(), rLimit);
}
}
}
private List rankingFunctions(WindowTableFunctionDef wTFn) {
List rFns = new ArrayList();
for(int i=0; i < wTFn.getWindowFunctions().size(); i++ ) {
WindowFunctionDef wFnDef = wTFn.getWindowFunctions().get(i);
if ( (wFnDef.getWFnEval() instanceof GenericUDAFRankEvaluator) ||
(wFnDef.getWFnEval() instanceof GenericUDAFDenseRankEvaluator ) ) {
rFns.add(i);
}
}
return rFns;
}
/*
* For a predicate check if it is a candidate for pushing down as limit optimization.
* The expression must be of the form rankFn <|<= constant.
*/
private int[] getLimit(WindowTableFunctionDef wTFn, List rFnIdxs, ExprNodeDesc expr) {
if ( !(expr instanceof ExprNodeGenericFuncDesc) ) {
return null;
}
ExprNodeGenericFuncDesc fExpr = (ExprNodeGenericFuncDesc) expr;
if ( !(fExpr.getGenericUDF() instanceof GenericUDFOPLessThan) &&
!(fExpr.getGenericUDF() instanceof GenericUDFOPEqualOrLessThan) ) {
return null;
}
if ( !(fExpr.getChildren().get(0) instanceof ExprNodeColumnDesc) ) {
return null;
}
if ( !(fExpr.getChildren().get(1) instanceof ExprNodeConstantDesc) ) {
return null;
}
ExprNodeConstantDesc constantExpr = (ExprNodeConstantDesc) fExpr.getChildren().get(1) ;
if ( constantExpr.getTypeInfo() != TypeInfoFactory.intTypeInfo ) {
return null;
}
int limit = (Integer) constantExpr.getValue();
if ( fExpr.getGenericUDF() instanceof GenericUDFOPEqualOrLessThan ) {
limit = limit + 1;
}
String colName = ((ExprNodeColumnDesc)fExpr.getChildren().get(0)).getColumn();
for(int i=0; i < rFnIdxs.size(); i++ ) {
String fAlias = wTFn.getWindowFunctions().get(i).getAlias();
if ( fAlias.equals(colName)) {
return new int[] {limit,i};
}
}
return null;
}
/*
* Limit can be pushed down to Map-side if all Window Functions need access
* to rows before the current row. This is true for:
* 1. Rank, DenseRank and Lead Fns. (the window doesn't matter for lead fn).
* 2. If the Window for the function is Row based and the End Boundary doesn't
* reference rows past the Current Row.
*/
private boolean canPushLimitToReduceSink(WindowTableFunctionDef wTFn) {
for(WindowFunctionDef wFnDef : wTFn.getWindowFunctions() ) {
if ( (wFnDef.getWFnEval() instanceof GenericUDAFRankEvaluator) ||
(wFnDef.getWFnEval() instanceof GenericUDAFDenseRankEvaluator ) ||
(wFnDef.getWFnEval() instanceof GenericUDAFLeadEvaluator ) ) {
continue;
}
WindowFrameDef wdwFrame = wFnDef.getWindowFrame();
BoundaryDef end = wdwFrame.getEnd();
if ( end instanceof ValueBoundaryDef ) {
return false;
}
if ( end.getDirection() == Direction.FOLLOWING ) {
return false;
}
}
return true;
}
private void pushRankLimitToRedSink(PTFOperator ptfOp, HiveConf conf, int rLimit) throws SemanticException {
Operator parent = ptfOp.getParentOperators().get(0);
Operator gP = parent == null ? null : parent.getParentOperators().get(0);
if ( gP == null || !(gP instanceof ReduceSinkOperator )) {
return;
}
float threshold = conf.getFloatVar(HiveConf.ConfVars.HIVELIMITPUSHDOWNMEMORYUSAGE);
ReduceSinkOperator rSink = (ReduceSinkOperator) gP;
ReduceSinkDesc rDesc = rSink.getConf();
rDesc.setTopN(rLimit);
rDesc.setTopNMemoryUsage(threshold);
rDesc.setMapGroupBy(true);
rDesc.setPTFReduceSink(true);
}
}
public static class UDTFPPD extends DefaultPPD implements NodeProcessor {
@Override
public Object process(Node nd, Stack stack, NodeProcessorCtx procCtx,
Object... nodeOutputs) throws SemanticException {
super.process(nd, stack, procCtx, nodeOutputs);
OpWalkerInfo owi = (OpWalkerInfo) procCtx;
ExprWalkerInfo prunedPred = owi.getPrunedPreds((Operator) nd);
if (prunedPred == null || !prunedPred.hasAnyCandidates()) {
return null;
}
Map> candidates = prunedPred.getFinalCandidates();
createFilter((Operator)nd, prunedPred, owi);
candidates.clear();
return null;
}
}
public static class LateralViewForwardPPD extends DefaultPPD implements NodeProcessor {
@Override
public Object process(Node nd, Stack stack, NodeProcessorCtx procCtx,
Object... nodeOutputs) throws SemanticException {
LOG.info("Processing for " + nd.getName() + "("
+ ((Operator) nd).getIdentifier() + ")");
OpWalkerInfo owi = (OpWalkerInfo) procCtx;
// The lateral view forward operator has 2 children, a SELECT(*) and
// a SELECT(cols) (for the UDTF operator) The child at index 0 is the
// SELECT(*) because that's the way that the DAG was constructed. We
// only want to get the predicates from the SELECT(*).
ExprWalkerInfo childPreds = owi
.getPrunedPreds((Operator) nd.getChildren()
.get(0));
owi.putPrunedPreds((Operator) nd, childPreds);
return null;
}
}
/**
* Combines predicates of its child into a single expression and adds a filter
* op as new child.
*/
public static class TableScanPPD extends DefaultPPD implements NodeProcessor {
@Override
public Object process(Node nd, Stack stack, NodeProcessorCtx procCtx,
Object... nodeOutputs) throws SemanticException {
LOG.info("Processing for " + nd.getName() + "("
+ ((Operator) nd).getIdentifier() + ")");
OpWalkerInfo owi = (OpWalkerInfo) procCtx;
TableScanOperator tsOp = (TableScanOperator) nd;
mergeWithChildrenPred(tsOp, owi, null, null);
ExprWalkerInfo pushDownPreds = owi.getPrunedPreds(tsOp);
return createFilter(tsOp, pushDownPreds, owi);
}
}
/**
* Determines the push down predicates in its where expression and then
* combines it with the push down predicates that are passed from its children.
*/
public static class FilterPPD extends DefaultPPD implements NodeProcessor {
@Override
public Object process(Node nd, Stack stack, NodeProcessorCtx procCtx,
Object... nodeOutputs) throws SemanticException {
LOG.info("Processing for " + nd.getName() + "("
+ ((Operator) nd).getIdentifier() + ")");
OpWalkerInfo owi = (OpWalkerInfo) procCtx;
Operator op = (Operator) nd;
// if this filter is generated one, predicates need not to be extracted
ExprWalkerInfo ewi = owi.getPrunedPreds(op);
// Don't push a sampling predicate since createFilter() always creates filter
// with isSamplePred = false. Also, the filterop with sampling pred is always
// a child of TableScan, so there is no need to push this predicate.
if (ewi == null && !((FilterOperator)op).getConf().getIsSamplingPred()) {
// get pushdown predicates for this operator's predicate
ExprNodeDesc predicate = (((FilterOperator) nd).getConf()).getPredicate();
ewi = ExprWalkerProcFactory.extractPushdownPreds(owi, op, predicate);
if (!ewi.isDeterministic()) {
/* predicate is not deterministic */
if (op.getChildren() != null && op.getChildren().size() == 1) {
createFilter(op, owi
.getPrunedPreds((Operator) (op
.getChildren().get(0))), owi);
}
return null;
}
if (HiveConf.getBoolVar(owi.getParseContext().getConf(),
HiveConf.ConfVars.HIVEPPDREMOVEDUPLICATEFILTERS)) {
// add this filter for deletion, if it does not have non-final candidates
if (ewi.getNonFinalCandidates().values().isEmpty()) {
owi.addCandidateFilterOp((FilterOperator)op);
}
}
logExpr(nd, ewi);
owi.putPrunedPreds((Operator) nd, ewi);
}
// merge it with children predicates
boolean hasUnpushedPredicates = mergeWithChildrenPred(nd, owi, ewi, null);
if (HiveConf.getBoolVar(owi.getParseContext().getConf(),
HiveConf.ConfVars.HIVEPPDREMOVEDUPLICATEFILTERS)) {
if (hasUnpushedPredicates) {
ExprWalkerInfo unpushedPreds = mergeChildrenPred(nd, owi, null, false);
return createFilter((Operator)nd, unpushedPreds, owi);
}
}
return null;
}
}
/**
* Determines predicates for which alias can be pushed to it's parents. See
* the comments for getQualifiedAliases function.
*/
public static class JoinerPPD extends DefaultPPD implements NodeProcessor {
@Override
public Object process(Node nd, Stack stack, NodeProcessorCtx procCtx,
Object... nodeOutputs) throws SemanticException {
LOG.info("Processing for " + nd.getName() + "("
+ ((Operator) nd).getIdentifier() + ")");
OpWalkerInfo owi = (OpWalkerInfo) procCtx;
Set aliases = getAliases(nd);
// we pass null for aliases here because mergeWithChildrenPred filters
// aliases in the children node context and we need to filter them in
// the current JoinOperator's context
mergeWithChildrenPred(nd, owi, null, null);
ExprWalkerInfo prunePreds =
owi.getPrunedPreds((Operator) nd);
if (prunePreds != null) {
Set toRemove = new HashSet();
// we don't push down any expressions that refer to aliases that can;t
// be pushed down per getQualifiedAliases
for (Entry> entry : prunePreds.getFinalCandidates().entrySet()) {
String key = entry.getKey();
List value = entry.getValue();
if (key == null && ExprNodeDescUtils.isAllConstants(value)) {
continue; // propagate constants
}
if (!aliases.contains(key)) {
toRemove.add(key);
}
}
for (String alias : toRemove) {
for (ExprNodeDesc expr :
prunePreds.getFinalCandidates().get(alias)) {
// add expr to the list of predicates rejected from further pushing
// so that we know to add it in createFilter()
prunePreds.addAlias(expr, alias);
prunePreds.addNonFinalCandidate(expr);
}
prunePreds.getFinalCandidates().remove(alias);
}
return handlePredicates(nd, prunePreds, owi);
}
return null;
}
protected Set getAliases(Node nd) throws SemanticException {
return ((Operator)nd).getSchema().getTableNames();
}
protected Object handlePredicates(Node nd, ExprWalkerInfo prunePreds, OpWalkerInfo owi)
throws SemanticException {
if (HiveConf.getBoolVar(owi.getParseContext().getConf(),
HiveConf.ConfVars.HIVEPPDREMOVEDUPLICATEFILTERS)) {
return createFilter((Operator)nd, prunePreds.getResidualPredicates(true), owi);
}
return null;
}
}
public static class JoinPPD extends JoinerPPD {
@Override
protected Set getAliases(Node nd) {
return getQualifiedAliases((JoinOperator) nd, ((JoinOperator)nd).getSchema());
}
/**
* Figures out the aliases for whom it is safe to push predicates based on
* ANSI SQL semantics. The join conditions are left associative so "a
* RIGHT OUTER JOIN b LEFT OUTER JOIN c INNER JOIN d" is interpreted as
* "((a RIGHT OUTER JOIN b) LEFT OUTER JOIN c) INNER JOIN d". For inner
* joins, both the left and right join subexpressions are considered for
* pushing down aliases, for the right outer join, the right subexpression
* is considered and the left ignored and for the left outer join, the
* left subexpression is considered and the left ignored. Here, aliases b
* and d are eligible to be pushed up.
*
* TODO: further optimization opportunity for the case a.c1 = b.c1 and b.c2
* = c.c2 a and b are first joined and then the result with c. But the
* second join op currently treats a and b as separate aliases and thus
* disallowing predicate expr containing both tables a and b (such as a.c3
* + a.c4 > 20). Such predicates also can be pushed just above the second
* join and below the first join
*
* @param op
* Join Operator
* @param rr
* Row resolver
* @return set of qualified aliases
*/
private Set getQualifiedAliases(JoinOperator op, RowSchema rs) {
Set aliases = new HashSet();
JoinCondDesc[] conds = op.getConf().getConds();
Map> posToAliasMap = op.getPosToAliasMap();
int i;
for (i=conds.length-1; i>=0; i--){
if (conds[i].getType() == JoinDesc.INNER_JOIN) {
aliases.addAll(posToAliasMap.get(i+1));
} else if (conds[i].getType() == JoinDesc.FULL_OUTER_JOIN) {
break;
} else if (conds[i].getType() == JoinDesc.RIGHT_OUTER_JOIN) {
aliases.addAll(posToAliasMap.get(i+1));
break;
} else if (conds[i].getType() == JoinDesc.LEFT_OUTER_JOIN) {
continue;
}
}
if(i == -1){
aliases.addAll(posToAliasMap.get(0));
}
Set aliases2 = rs.getTableNames();
aliases.retainAll(aliases2);
return aliases;
}
}
public static class ReduceSinkPPD extends DefaultPPD implements NodeProcessor {
public Object process(Node nd, Stack stack, NodeProcessorCtx procCtx,
Object... nodeOutputs) throws SemanticException {
super.process(nd, stack, procCtx, nodeOutputs);
Operator operator = (Operator) nd;
OpWalkerInfo owi = (OpWalkerInfo) procCtx;
if (operator.getNumChild() == 1 &&
operator.getChildOperators().get(0) instanceof JoinOperator) {
if (HiveConf.getBoolVar(owi.getParseContext().getConf(),
HiveConf.ConfVars.HIVEPPDRECOGNIZETRANSITIVITY)) {
JoinOperator child = (JoinOperator) operator.getChildOperators().get(0);
int targetPos = child.getParentOperators().indexOf(operator);
applyFilterTransitivity(child, targetPos, owi);
}
}
return null;
}
/**
* Adds additional pushdown predicates for a join operator by replicating
* filters transitively over all the equijoin conditions.
*
* If we have a predicate "t.col=1" and the equijoin conditions
* "t.col=s.col" and "t.col=u.col", we add the filters "s.col=1" and
* "u.col=1". Note that this does not depend on the types of joins (ie.
* inner, left/right/full outer) between the tables s, t and u because if
* a predicate, eg. "t.col=1" is present in getFinalCandidates() at this
* point, we have already verified that it can be pushed down, so any rows
* emitted must satisfy s.col=t.col=u.col=1 and replicating the filters
* like this is ok.
*/
private void applyFilterTransitivity(JoinOperator join, int targetPos, OpWalkerInfo owi)
throws SemanticException {
ExprWalkerInfo joinPreds = owi.getPrunedPreds(join);
if (joinPreds == null || !joinPreds.hasAnyCandidates()) {
return;
}
Map> oldFilters = joinPreds.getFinalCandidates();
Map> newFilters = new HashMap>();
List> parentOperators = join.getParentOperators();
ReduceSinkOperator target = (ReduceSinkOperator) parentOperators.get(targetPos);
List targetKeys = target.getConf().getKeyCols();
ExprWalkerInfo rsPreds = owi.getPrunedPreds(target);
for (int sourcePos = 0; sourcePos < parentOperators.size(); sourcePos++) {
ReduceSinkOperator source = (ReduceSinkOperator) parentOperators.get(sourcePos);
List sourceKeys = source.getConf().getKeyCols();
Set sourceAliases = new HashSet(Arrays.asList(source.getInputAliases()));
for (Map.Entry> entry : oldFilters.entrySet()) {
if (entry.getKey() == null && ExprNodeDescUtils.isAllConstants(entry.getValue())) {
// propagate constants
for (String targetAlias : target.getInputAliases()) {
rsPreds.addPushDowns(targetAlias, entry.getValue());
}
continue;
}
if (!sourceAliases.contains(entry.getKey())) {
continue;
}
for (ExprNodeDesc predicate : entry.getValue()) {
ExprNodeDesc backtrack = ExprNodeDescUtils.backtrack(predicate, join, source);
if (backtrack == null) {
continue;
}
ExprNodeDesc replaced = ExprNodeDescUtils.replace(backtrack, sourceKeys, targetKeys);
if (replaced == null) {
continue;
}
for (String targetAlias : target.getInputAliases()) {
rsPreds.addFinalCandidate(targetAlias, replaced);
}
}
}
}
}
}
/**
* Default processor which just merges its children.
*/
public static class DefaultPPD implements NodeProcessor {
@Override
public Object process(Node nd, Stack stack, NodeProcessorCtx procCtx,
Object... nodeOutputs) throws SemanticException {
LOG.info("Processing for " + nd.getName() + "("
+ ((Operator) nd).getIdentifier() + ")");
OpWalkerInfo owi = (OpWalkerInfo) procCtx;
Set includes = getQualifiedAliases((Operator) nd, owi);
boolean hasUnpushedPredicates = mergeWithChildrenPred(nd, owi, null, includes);
if (hasUnpushedPredicates && HiveConf.getBoolVar(owi.getParseContext().getConf(),
HiveConf.ConfVars.HIVEPPDREMOVEDUPLICATEFILTERS)) {
if (includes != null || nd instanceof ReduceSinkOperator) {
owi.getCandidateFilterOps().clear();
} else {
ExprWalkerInfo pruned = owi.getPrunedPreds((Operator) nd);
Map> residual = pruned.getResidualPredicates(true);
if (residual != null && !residual.isEmpty()) {
createFilter((Operator) nd, residual, owi);
pruned.getNonFinalCandidates().clear();
}
}
}
return null;
}
// RS for join, SEL(*) for lateral view
// SEL for union does not count (should be copied to both sides)
private Set getQualifiedAliases(Operator operator, OpWalkerInfo owi) {
if (operator.getNumChild() != 1) {
return null;
}
Operator child = operator.getChildOperators().get(0);
if (!(child instanceof JoinOperator || child instanceof LateralViewJoinOperator)) {
return null;
}
if (operator instanceof ReduceSinkOperator &&
((ReduceSinkOperator)operator).getInputAliases() != null) {
String[] aliases = ((ReduceSinkOperator)operator).getInputAliases();
return new HashSet(Arrays.asList(aliases));
}
Set includes = operator.getSchema().getTableNames();
if (includes.size() == 1 && includes.contains("")) {
// Reduce sink of group by operator
return null;
}
return includes;
}
/**
* @param nd
* @param ewi
*/
protected void logExpr(Node nd, ExprWalkerInfo ewi) {
for (Entry> e : ewi.getFinalCandidates()
.entrySet()) {
LOG.info("Pushdown Predicates of " + nd.getName() + " For Alias : "
+ e.getKey());
for (ExprNodeDesc n : e.getValue()) {
LOG.info("\t" + n.getExprString());
}
}
}
/**
* Take current operators pushdown predicates and merges them with
* children's pushdown predicates.
*
* @param nd
* current operator
* @param owi
* operator context during this walk
* @param ewi
* pushdown predicates (part of expression walker info)
* @param aliases
* aliases that this operator can pushdown. null means that all
* aliases can be pushed down
* @throws SemanticException
*/
protected boolean mergeWithChildrenPred(Node nd, OpWalkerInfo owi,
ExprWalkerInfo ewi, Set aliases) throws SemanticException {
Operator op = (Operator) nd;
ExprWalkerInfo childPreds = getChildWalkerInfo(op, owi);
if (childPreds == null) {
return false;
}
if (ewi == null) {
ewi = new ExprWalkerInfo();
}
boolean hasUnpushedPredicates = false;
for (Entry> e : childPreds
.getFinalCandidates().entrySet()) {
if (aliases == null || e.getKey() == null || aliases.contains(e.getKey())) {
// e.getKey() (alias) can be null in case of constant expressions. see
// input8.q
ExprWalkerInfo extractPushdownPreds = ExprWalkerProcFactory
.extractPushdownPreds(owi, op, e.getValue());
if (!extractPushdownPreds.getNonFinalCandidates().isEmpty()) {
hasUnpushedPredicates = true;
}
ewi.merge(extractPushdownPreds);
logExpr(nd, extractPushdownPreds);
}
}
owi.putPrunedPreds((Operator) nd, ewi);
return hasUnpushedPredicates;
}
protected ExprWalkerInfo mergeChildrenPred(Node nd, OpWalkerInfo owi,
Set excludedAliases, boolean ignoreAliases)
throws SemanticException {
if (nd.getChildren() == null) {
return null;
}
Operator op = (Operator)nd;
ExprWalkerInfo ewi = new ExprWalkerInfo();
for (Operator child : op.getChildOperators()) {
ExprWalkerInfo childPreds = owi.getPrunedPreds(child);
if (childPreds == null) {
continue;
}
for (Entry> e : childPreds
.getFinalCandidates().entrySet()) {
if (ignoreAliases || excludedAliases == null ||
!excludedAliases.contains(e.getKey()) || e.getKey() == null) {
ewi.addPushDowns(e.getKey(), e.getValue());
logExpr(nd, ewi);
}
}
}
return ewi;
}
}
protected static Object createFilter(Operator op,
ExprWalkerInfo pushDownPreds, OpWalkerInfo owi) {
if (pushDownPreds != null && pushDownPreds.hasAnyCandidates()) {
return createFilter(op, pushDownPreds.getFinalCandidates(), owi);
}
return null;
}
protected static Object createFilter(Operator op,
Map> predicates, OpWalkerInfo owi) {
RowSchema inputRS = op.getSchema();
// combine all predicates into a single expression
List preds = new ArrayList();
Iterator> iterator = predicates.values().iterator();
while (iterator.hasNext()) {
for (ExprNodeDesc pred : iterator.next()) {
preds = ExprNodeDescUtils.split(pred, preds);
}
}
if (preds.isEmpty()) {
return null;
}
ExprNodeDesc condn = ExprNodeDescUtils.mergePredicates(preds);
if (op instanceof TableScanOperator && condn instanceof ExprNodeGenericFuncDesc) {
boolean pushFilterToStorage;
HiveConf hiveConf = owi.getParseContext().getConf();
pushFilterToStorage =
hiveConf.getBoolVar(HiveConf.ConfVars.HIVEOPTPPD_STORAGE);
if (pushFilterToStorage) {
condn = pushFilterToStorageHandler(
(TableScanOperator) op,
(ExprNodeGenericFuncDesc)condn,
owi,
hiveConf);
if (condn == null) {
// we pushed the whole thing down
return null;
}
}
}
// add new filter op
List> originalChilren = op
.getChildOperators();
op.setChildOperators(null);
Operator output = OperatorFactory.getAndMakeChild(
new FilterDesc(condn, false), new RowSchema(inputRS.getSignature()),
op);
output.setChildOperators(originalChilren);
for (Operator ch : originalChilren) {
List> parentOperators = ch
.getParentOperators();
int pos = parentOperators.indexOf(op);
assert pos != -1;
parentOperators.remove(pos);
parentOperators.add(pos, output); // add the new op as the old
}
if (HiveConf.getBoolVar(owi.getParseContext().getConf(),
HiveConf.ConfVars.HIVEPPDREMOVEDUPLICATEFILTERS)) {
// remove the candidate filter ops
for (FilterOperator fop : owi.getCandidateFilterOps()) {
List> children = fop.getChildOperators();
List> parents = fop.getParentOperators();
for (Operator parent : parents) {
parent.getChildOperators().addAll(children);
parent.removeChild(fop);
}
for (Operator child : children) {
child.getParentOperators().addAll(parents);
child.removeParent(fop);
}
}
owi.getCandidateFilterOps().clear();
}
// push down current ppd context to newly added filter
ExprWalkerInfo walkerInfo = owi.getPrunedPreds(op);
if (walkerInfo != null) {
walkerInfo.getNonFinalCandidates().clear();
owi.putPrunedPreds(output, walkerInfo);
}
return output;
}
/**
* Attempts to push a predicate down into a storage handler. For
* native tables, this is a no-op.
*
* @param tableScanOp table scan against which predicate applies
*
* @param originalPredicate predicate to be pushed down
*
* @param owi object walk info
*
* @param hiveConf Hive configuration
*
* @return portion of predicate which needs to be evaluated
* by Hive as a post-filter, or null if it was possible
* to push down the entire predicate
*/
private static ExprNodeGenericFuncDesc pushFilterToStorageHandler(
TableScanOperator tableScanOp,
ExprNodeGenericFuncDesc originalPredicate,
OpWalkerInfo owi,
HiveConf hiveConf) {
TableScanDesc tableScanDesc = tableScanOp.getConf();
Table tbl = tableScanDesc.getTableMetadata();
if (HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTINDEXFILTER)) {
// attach the original predicate to the table scan operator for index
// optimizations that require the pushed predicate before pcr & later
// optimizations are applied
tableScanDesc.setFilterExpr(originalPredicate);
}
if (!tbl.isNonNative()) {
return originalPredicate;
}
HiveStorageHandler storageHandler = tbl.getStorageHandler();
if (!(storageHandler instanceof HiveStoragePredicateHandler)) {
// The storage handler does not provide predicate decomposition
// support, so we'll implement the entire filter in Hive. However,
// we still provide the full predicate to the storage handler in
// case it wants to do any of its own prefiltering.
tableScanDesc.setFilterExpr(originalPredicate);
return originalPredicate;
}
HiveStoragePredicateHandler predicateHandler =
(HiveStoragePredicateHandler) storageHandler;
JobConf jobConf = new JobConf(owi.getParseContext().getConf());
Utilities.setColumnNameList(jobConf, tableScanOp);
Utilities.setColumnTypeList(jobConf, tableScanOp);
Utilities.copyTableJobPropertiesToConf(
Utilities.getTableDesc(tbl),
jobConf);
Deserializer deserializer = tbl.getDeserializer();
HiveStoragePredicateHandler.DecomposedPredicate decomposed =
predicateHandler.decomposePredicate(
jobConf,
deserializer,
originalPredicate);
if (decomposed == null) {
// not able to push anything down
if (LOG.isDebugEnabled()) {
LOG.debug("No pushdown possible for predicate: "
+ originalPredicate.getExprString());
}
return originalPredicate;
}
if (LOG.isDebugEnabled()) {
LOG.debug("Original predicate: "
+ originalPredicate.getExprString());
if (decomposed.pushedPredicate != null) {
LOG.debug(
"Pushed predicate: "
+ decomposed.pushedPredicate.getExprString());
}
if (decomposed.residualPredicate != null) {
LOG.debug(
"Residual predicate: "
+ decomposed.residualPredicate.getExprString());
}
}
tableScanDesc.setFilterExpr(decomposed.pushedPredicate);
tableScanDesc.setFilterObject(decomposed.pushedPredicateObject);
return decomposed.residualPredicate;
}
public static NodeProcessor getFilterProc() {
return new FilterPPD();
}
public static NodeProcessor getJoinProc() {
return new JoinPPD();
}
public static NodeProcessor getTSProc() {
return new TableScanPPD();
}
public static NodeProcessor getDefaultProc() {
return new DefaultPPD();
}
public static NodeProcessor getPTFProc() {
return new PTFPPD();
}
public static NodeProcessor getSCRProc() {
return new ScriptPPD();
}
public static NodeProcessor getLIMProc() {
return new ScriptPPD();
}
public static NodeProcessor getLVFProc() {
return new LateralViewForwardPPD();
}
public static NodeProcessor getUDTFProc() {
return new UDTFPPD();
}
public static NodeProcessor getLVJProc() {
return new JoinerPPD();
}
public static NodeProcessor getRSProc() {
return new ReduceSinkPPD();
}
private OpProcFactory() {
// prevent instantiation
}
}
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