@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;
}
public static void setChildrenCollector(
List<Operator<? extends OperatorDesc>> childOperators, OutputCollector out) {
if (childOperators == null) {
return;
}
for (Operator<? extends OperatorDesc> op : childOperators) {
if (op.getName().equals(ReduceSinkOperator.getOperatorName())) {
op.setOutputCollector(out);
} else {
setChildrenCollector(op.getChildOperators(), out);
}
}
}
@Override
public ParseContext transform(ParseContext pctx) throws SemanticException {
pGraphContext = pctx;
// create a the context for walking operators
OpWalkerInfo opWalkerInfo = new OpWalkerInfo(pGraphContext);
Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
opRules.put(
new RuleRegExp("R1", FilterOperator.getOperatorName() + "%"),
OpProcFactory.getFilterProc());
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
Dispatcher disp =
new DefaultRuleDispatcher(OpProcFactory.getDefaultProc(), opRules, opWalkerInfo);
GraphWalker ogw = new DefaultGraphWalker(disp);
// Create a list of topop nodes
ArrayList<Node> topNodes = new ArrayList<Node>();
topNodes.addAll(pGraphContext.getTopOps().values());
ogw.startWalking(topNodes, null);
if (LOG.isDebugEnabled()) {
LOG.debug("After PPD:\n" + Operator.toString(pctx.getTopOps().values()));
}
return pGraphContext;
}
@Override
public ParseContext transform(ParseContext pctx) throws SemanticException {
pGraphContext = pctx;
Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
opRules.put(
new RuleRegExp(
"R1",
"("
+ FilterOperator.getOperatorName()
+ "%"
+ ReduceSinkOperator.getOperatorName()
+ "%"
+ JoinOperator.getOperatorName()
+ "%)"),
new JoinTransitive());
// The dispatcher fires the processor corresponding to the closest matching
// rule and passes the context along
TransitiveContext context = new TransitiveContext();
Dispatcher disp = new DefaultRuleDispatcher(null, opRules, context);
GraphWalker ogw = new LevelOrderWalker(disp, 2);
// Create a list of topop nodes
List<Node> topNodes = new ArrayList<Node>();
topNodes.addAll(pGraphContext.getTopOps().values());
ogw.startWalking(topNodes, null);
Map<ReduceSinkOperator, List<ExprNodeDesc>> newFilters = context.getNewfilters();
// insert new filter between RS and parent of RS
for (Map.Entry<ReduceSinkOperator, List<ExprNodeDesc>> entry : newFilters.entrySet()) {
ReduceSinkOperator reducer = entry.getKey();
Operator<?> parent = reducer.getParentOperators().get(0);
List<ExprNodeDesc> exprs = entry.getValue();
if (parent instanceof FilterOperator) {
exprs = ExprNodeDescUtils.split(((FilterOperator) parent).getConf().getPredicate(), exprs);
ExprNodeDesc merged = ExprNodeDescUtils.mergePredicates(exprs);
((FilterOperator) parent).getConf().setPredicate(merged);
} else {
ExprNodeDesc merged = ExprNodeDescUtils.mergePredicates(exprs);
RowSchema parentRS = parent.getSchema();
Operator<FilterDesc> newFilter = createFilter(reducer, parent, parentRS, merged);
}
}
return pGraphContext;
}
public static void setChildrenCollector(
List<Operator<? extends OperatorDesc>> childOperators, Map<String, OutputCollector> outMap) {
if (childOperators == null) {
return;
}
for (Operator<? extends OperatorDesc> op : childOperators) {
if (op.getName().equals(ReduceSinkOperator.getOperatorName())) {
ReduceSinkOperator rs = ((ReduceSinkOperator) op);
if (outMap.containsKey(rs.getConf().getOutputName())) {
LOG.info("Setting output collector: " + rs + " --> " + rs.getConf().getOutputName());
rs.setOutputCollector(outMap.get(rs.getConf().getOutputName()));
}
} else {
setChildrenCollector(op.getChildOperators(), outMap);
}
}
}
/**
* If two reducer sink operators share the same partition/sort columns and order, they can be
* merged. This should happen after map join optimization because map join optimization will remove
* reduce sink operators.
*
* <p>This optimizer removes/replaces child-RS (not parent) which is safer way for
* DefaultGraphWalker.
*/
public class ReduceSinkDeDuplication extends Transform {
private static final String RS = ReduceSinkOperator.getOperatorName();
private static final String GBY = GroupByOperator.getOperatorName();
private static final String JOIN = JoinOperator.getOperatorName();
protected ParseContext pGraphContext;
@Override
public ParseContext transform(ParseContext pctx) throws SemanticException {
pGraphContext = pctx;
// generate pruned column list for all relevant operators
ReduceSinkDeduplicateProcCtx cppCtx = new ReduceSinkDeduplicateProcCtx(pGraphContext);
// for auto convert map-joins, it not safe to dedup in here (todo)
boolean mergeJoins =
!pctx.getConf().getBoolVar(HIVECONVERTJOIN)
&& !pctx.getConf().getBoolVar(HIVECONVERTJOINNOCONDITIONALTASK)
&& !pctx.getConf().getBoolVar(ConfVars.HIVE_CONVERT_JOIN_BUCKET_MAPJOIN_TEZ)
&& !pctx.getConf().getBoolVar(ConfVars.HIVEDYNAMICPARTITIONHASHJOIN);
// If multiple rules can be matched with same cost, last rule will be choosen as a processor
// see DefaultRuleDispatcher#dispatch()
Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
opRules.put(
new RuleRegExp("R1", RS + "%.*%" + RS + "%"),
ReduceSinkDeduplicateProcFactory.getReducerReducerProc());
opRules.put(
new RuleRegExp("R2", RS + "%" + GBY + "%.*%" + RS + "%"),
ReduceSinkDeduplicateProcFactory.getGroupbyReducerProc());
if (mergeJoins) {
opRules.put(
new RuleRegExp("R3", JOIN + "%.*%" + RS + "%"),
ReduceSinkDeduplicateProcFactory.getJoinReducerProc());
}
// TODO RS+JOIN
// The dispatcher fires the processor corresponding to the closest matching
// rule and passes the context along
Dispatcher disp =
new DefaultRuleDispatcher(
ReduceSinkDeduplicateProcFactory.getDefaultProc(), opRules, cppCtx);
GraphWalker ogw = new DefaultGraphWalker(disp);
// Create a list of topop nodes
ArrayList<Node> topNodes = new ArrayList<Node>();
topNodes.addAll(pGraphContext.getTopOps().values());
ogw.startWalking(topNodes, null);
return pGraphContext;
}
protected class ReduceSinkDeduplicateProcCtx extends AbstractCorrelationProcCtx {
public ReduceSinkDeduplicateProcCtx(ParseContext pctx) {
super(pctx);
}
}
static class ReduceSinkDeduplicateProcFactory {
public static NodeProcessor getReducerReducerProc() {
return new ReducerReducerProc();
}
public static NodeProcessor getGroupbyReducerProc() {
return new GroupbyReducerProc();
}
public static NodeProcessor getJoinReducerProc() {
return new JoinReducerProc();
}
public static NodeProcessor getDefaultProc() {
return new DefaultProc();
}
}
/*
* do nothing.
*/
static class DefaultProc implements NodeProcessor {
@Override
public Object process(
Node nd, Stack<Node> stack, NodeProcessorCtx procCtx, Object... nodeOutputs)
throws SemanticException {
return null;
}
}
public abstract static class AbsctractReducerReducerProc implements NodeProcessor {
@Override
public Object process(
Node nd, Stack<Node> stack, NodeProcessorCtx procCtx, Object... nodeOutputs)
throws SemanticException {
ReduceSinkDeduplicateProcCtx dedupCtx = (ReduceSinkDeduplicateProcCtx) procCtx;
if (dedupCtx.hasBeenRemoved((Operator<?>) nd)) {
return false;
}
ReduceSinkOperator cRS = (ReduceSinkOperator) nd;
Operator<?> child = CorrelationUtilities.getSingleChild(cRS);
if (child instanceof JoinOperator) {
return false; // not supported
}
if (child instanceof GroupByOperator) {
GroupByOperator cGBY = (GroupByOperator) child;
if (!CorrelationUtilities.hasGroupingSet(cRS) && !cGBY.getConf().isGroupingSetsPresent()) {
return process(cRS, cGBY, dedupCtx);
}
return false;
}
if (child instanceof SelectOperator) {
return process(cRS, dedupCtx);
}
return false;
}
protected abstract Object process(ReduceSinkOperator cRS, ReduceSinkDeduplicateProcCtx dedupCtx)
throws SemanticException;
protected abstract Object process(
ReduceSinkOperator cRS, GroupByOperator cGBY, ReduceSinkDeduplicateProcCtx dedupCtx)
throws SemanticException;
// for JOIN-RS case, it's not possible generally to merge if child has
// less key/partition columns than parents
protected boolean merge(ReduceSinkOperator cRS, JoinOperator pJoin, int minReducer)
throws SemanticException {
List<Operator<?>> parents = pJoin.getParentOperators();
ReduceSinkOperator[] pRSs = parents.toArray(new ReduceSinkOperator[parents.size()]);
ReduceSinkDesc cRSc = cRS.getConf();
ReduceSinkDesc pRS0c = pRSs[0].getConf();
if (cRSc.getKeyCols().size() < pRS0c.getKeyCols().size()) {
return false;
}
if (cRSc.getPartitionCols().size() != pRS0c.getPartitionCols().size()) {
return false;
}
Integer moveReducerNumTo = checkNumReducer(cRSc.getNumReducers(), pRS0c.getNumReducers());
if (moveReducerNumTo == null || moveReducerNumTo > 0 && cRSc.getNumReducers() < minReducer) {
return false;
}
Integer moveRSOrderTo = checkOrder(cRSc.getOrder(), pRS0c.getOrder());
if (moveRSOrderTo == null) {
return false;
}
boolean[] sorted = CorrelationUtilities.getSortedTags(pJoin);
int cKeySize = cRSc.getKeyCols().size();
for (int i = 0; i < cKeySize; i++) {
ExprNodeDesc cexpr = cRSc.getKeyCols().get(i);
ExprNodeDesc[] pexprs = new ExprNodeDesc[pRSs.length];
for (int tag = 0; tag < pRSs.length; tag++) {
pexprs[tag] = pRSs[tag].getConf().getKeyCols().get(i);
}
int found = CorrelationUtilities.indexOf(cexpr, pexprs, cRS, pRSs, sorted);
if (found != i) {
return false;
}
}
int cPartSize = cRSc.getPartitionCols().size();
for (int i = 0; i < cPartSize; i++) {
ExprNodeDesc cexpr = cRSc.getPartitionCols().get(i);
ExprNodeDesc[] pexprs = new ExprNodeDesc[pRSs.length];
for (int tag = 0; tag < pRSs.length; tag++) {
pexprs[tag] = pRSs[tag].getConf().getPartitionCols().get(i);
}
int found = CorrelationUtilities.indexOf(cexpr, pexprs, cRS, pRSs, sorted);
if (found != i) {
return false;
}
}
if (moveReducerNumTo > 0) {
for (ReduceSinkOperator pRS : pRSs) {
pRS.getConf().setNumReducers(cRS.getConf().getNumReducers());
}
}
return true;
}
/**
* Current RSDedup remove/replace child RS. For key columns, sorting order, and the number of
* reducers, copy more specific part of configurations of child RS to that of parent RS. For
* partitioning columns, if both child RS and parent RS have been assigned partitioning columns,
* we will choose the more general partitioning columns. If parent RS has not been assigned any
* partitioning column, we will use partitioning columns (if exist) of child RS.
*/
protected boolean merge(ReduceSinkOperator cRS, ReduceSinkOperator pRS, int minReducer)
throws SemanticException {
int[] result = checkStatus(cRS, pRS, minReducer);
if (result == null) {
return false;
}
if (result[0] > 0) {
// The sorting columns of the child RS are more specific than
// those of the parent RS. Assign sorting columns of the child RS
// to the parent RS.
List<ExprNodeDesc> childKCs = cRS.getConf().getKeyCols();
pRS.getConf().setKeyCols(ExprNodeDescUtils.backtrack(childKCs, cRS, pRS));
}
if (result[1] < 0) {
// The partitioning columns of the parent RS are more specific than
// those of the child RS.
List<ExprNodeDesc> childPCs = cRS.getConf().getPartitionCols();
if (childPCs != null && !childPCs.isEmpty()) {
// If partitioning columns of the child RS are assigned,
// assign these to the partitioning columns of the parent RS.
pRS.getConf().setPartitionCols(ExprNodeDescUtils.backtrack(childPCs, cRS, pRS));
}
} else if (result[1] > 0) {
// The partitioning columns of the child RS are more specific than
// those of the parent RS.
List<ExprNodeDesc> parentPCs = pRS.getConf().getPartitionCols();
if (parentPCs == null || parentPCs.isEmpty()) {
// If partitioning columns of the parent RS are not assigned,
// assign partitioning columns of the child RS to the parent RS.
ArrayList<ExprNodeDesc> childPCs = cRS.getConf().getPartitionCols();
pRS.getConf().setPartitionCols(ExprNodeDescUtils.backtrack(childPCs, cRS, pRS));
}
}
if (result[2] > 0) {
// The sorting order of the child RS is more specific than
// that of the parent RS. Assign the sorting order of the child RS
// to the parent RS.
if (result[0] <= 0) {
// Sorting columns of the parent RS are more specific than those of the
// child RS but Sorting order of the child RS is more specific than
// that of the parent RS.
throw new SemanticException(
"Sorting columns and order don't match. "
+ "Try set "
+ HiveConf.ConfVars.HIVEOPTREDUCEDEDUPLICATION
+ "=false;");
}
pRS.getConf().setOrder(cRS.getConf().getOrder());
}
if (result[3] > 0) {
// The number of reducers of the child RS is more specific than
// that of the parent RS. Assign the number of reducers of the child RS
// to the parent RS.
pRS.getConf().setNumReducers(cRS.getConf().getNumReducers());
}
if (result[4] > 0) {
// This case happens only when pRS key is empty in which case we can use
// number of distribution keys and key serialization info from cRS
pRS.getConf().setNumDistributionKeys(cRS.getConf().getNumDistributionKeys());
List<FieldSchema> fields =
PlanUtils.getFieldSchemasFromColumnList(pRS.getConf().getKeyCols(), "reducesinkkey");
TableDesc keyTable = PlanUtils.getReduceKeyTableDesc(fields, pRS.getConf().getOrder());
ArrayList<String> outputKeyCols = Lists.newArrayList();
for (int i = 0; i < fields.size(); i++) {
outputKeyCols.add(fields.get(i).getName());
}
pRS.getConf().setOutputKeyColumnNames(outputKeyCols);
pRS.getConf().setKeySerializeInfo(keyTable);
}
return true;
}
/**
* Returns merge directions between two RSs for criterias (ordering, number of reducers, reducer
* keys, partition keys). Returns null if any of categories is not mergeable.
*
* <p>Values for each index can be -1, 0, 1 1. 0 means two configuration in the category is the
* same 2. for -1, configuration of parent RS is more specific than child RS 3. for 1,
* configuration of child RS is more specific than parent RS
*/
private int[] checkStatus(ReduceSinkOperator cRS, ReduceSinkOperator pRS, int minReducer)
throws SemanticException {
ReduceSinkDesc cConf = cRS.getConf();
ReduceSinkDesc pConf = pRS.getConf();
Integer moveRSOrderTo = checkOrder(cConf.getOrder(), pConf.getOrder());
if (moveRSOrderTo == null) {
return null;
}
Integer moveReducerNumTo = checkNumReducer(cConf.getNumReducers(), pConf.getNumReducers());
if (moveReducerNumTo == null || moveReducerNumTo > 0 && cConf.getNumReducers() < minReducer) {
return null;
}
List<ExprNodeDesc> ckeys = cConf.getKeyCols();
List<ExprNodeDesc> pkeys = pConf.getKeyCols();
Integer moveKeyColTo = checkExprs(ckeys, pkeys, cRS, pRS);
if (moveKeyColTo == null) {
return null;
}
List<ExprNodeDesc> cpars = cConf.getPartitionCols();
List<ExprNodeDesc> ppars = pConf.getPartitionCols();
Integer movePartitionColTo = checkExprs(cpars, ppars, cRS, pRS);
if (movePartitionColTo == null) {
return null;
}
Integer moveNumDistKeyTo =
checkNumDistributionKey(cConf.getNumDistributionKeys(), pConf.getNumDistributionKeys());
return new int[] {
moveKeyColTo, movePartitionColTo, moveRSOrderTo, moveReducerNumTo, moveNumDistKeyTo
};
}
private Integer checkNumDistributionKey(int cnd, int pnd) {
// number of distribution keys of cRS is chosen only when numDistKeys of pRS
// is 0 or less. In all other cases, distribution of the keys is based on
// the pRS which is more generic than cRS.
// Examples:
// case 1: if pRS sort key is (a, b) and cRS sort key is (a, b, c) and number of
// distribution keys are 2 and 3 resp. then after merge the sort keys will
// be (a, b, c) while the number of distribution keys will be 2.
// case 2: if pRS sort key is empty and number of distribution keys is 0
// and if cRS sort key is (a, b) and number of distribution keys is 2 then
// after merge new sort key will be (a, b) and number of distribution keys
// will be 2.
if (pnd <= 0) {
return 1;
}
return 0;
}
/**
* Overlapping part of keys should be the same between parent and child. And if child has more
* keys than parent, non-overlapping part of keys should be backtrackable to parent.
*/
private Integer checkExprs(
List<ExprNodeDesc> ckeys,
List<ExprNodeDesc> pkeys,
ReduceSinkOperator cRS,
ReduceSinkOperator pRS)
throws SemanticException {
Integer moveKeyColTo = 0;
if (ckeys == null || ckeys.isEmpty()) {
if (pkeys != null && !pkeys.isEmpty()) {
moveKeyColTo = -1;
}
} else {
if (pkeys == null || pkeys.isEmpty()) {
for (ExprNodeDesc ckey : ckeys) {
if (ExprNodeDescUtils.backtrack(ckey, cRS, pRS) == null) {
// cKey is not present in parent
return null;
}
}
moveKeyColTo = 1;
} else {
moveKeyColTo = sameKeys(ckeys, pkeys, cRS, pRS);
}
}
return moveKeyColTo;
}
// backtrack key exprs of child to parent and compare it with parent's
protected Integer sameKeys(
List<ExprNodeDesc> cexprs, List<ExprNodeDesc> pexprs, Operator<?> child, Operator<?> parent)
throws SemanticException {
int common = Math.min(cexprs.size(), pexprs.size());
int limit = Math.max(cexprs.size(), pexprs.size());
int i = 0;
for (; i < common; i++) {
ExprNodeDesc pexpr = pexprs.get(i);
ExprNodeDesc cexpr = ExprNodeDescUtils.backtrack(cexprs.get(i), child, parent);
if (cexpr == null || !pexpr.isSame(cexpr)) {
return null;
}
}
for (; i < limit; i++) {
if (cexprs.size() > pexprs.size()) {
if (ExprNodeDescUtils.backtrack(cexprs.get(i), child, parent) == null) {
// cKey is not present in parent
return null;
}
}
}
return Integer.valueOf(cexprs.size()).compareTo(pexprs.size());
}
// order of overlapping keys should be exactly the same
protected Integer checkOrder(String corder, String porder) {
if (corder == null || corder.trim().equals("")) {
if (porder == null || porder.trim().equals("")) {
return 0;
}
return -1;
}
if (porder == null || porder.trim().equals("")) {
return 1;
}
corder = corder.trim();
porder = porder.trim();
int target = Math.min(corder.length(), porder.length());
if (!corder.substring(0, target).equals(porder.substring(0, target))) {
return null;
}
return Integer.valueOf(corder.length()).compareTo(porder.length());
}
/**
* If number of reducers for RS is -1, the RS can have any number of reducers. It's generally
* true except for order-by or forced bucketing cases. if both of num-reducers are not -1, those
* number should be the same.
*/
protected Integer checkNumReducer(int creduce, int preduce) {
if (creduce < 0) {
if (preduce < 0) {
return 0;
}
return -1;
}
if (preduce < 0) {
return 1;
}
if (creduce != preduce) {
return null;
}
return 0;
}
}
static class GroupbyReducerProc extends AbsctractReducerReducerProc {
// pRS-pGBY-cRS
@Override
public Object process(ReduceSinkOperator cRS, ReduceSinkDeduplicateProcCtx dedupCtx)
throws SemanticException {
GroupByOperator pGBY =
CorrelationUtilities.findPossibleParent(
cRS, GroupByOperator.class, dedupCtx.trustScript());
if (pGBY == null) {
return false;
}
ReduceSinkOperator pRS =
CorrelationUtilities.findPossibleParent(
pGBY, ReduceSinkOperator.class, dedupCtx.trustScript());
if (pRS != null && merge(cRS, pRS, dedupCtx.minReducer())) {
CorrelationUtilities.replaceReduceSinkWithSelectOperator(cRS, dedupCtx.getPctx(), dedupCtx);
pRS.getConf().setDeduplicated(true);
return true;
}
return false;
}
// pRS-pGBY-cRS-cGBY
@Override
public Object process(
ReduceSinkOperator cRS, GroupByOperator cGBY, ReduceSinkDeduplicateProcCtx dedupCtx)
throws SemanticException {
Operator<?> start = CorrelationUtilities.getStartForGroupBy(cRS, dedupCtx);
GroupByOperator pGBY =
CorrelationUtilities.findPossibleParent(
start, GroupByOperator.class, dedupCtx.trustScript());
if (pGBY == null) {
return false;
}
ReduceSinkOperator pRS = CorrelationUtilities.getSingleParent(pGBY, ReduceSinkOperator.class);
if (pRS != null && merge(cRS, pRS, dedupCtx.minReducer())) {
CorrelationUtilities.removeReduceSinkForGroupBy(cRS, cGBY, dedupCtx.getPctx(), dedupCtx);
pRS.getConf().setDeduplicated(true);
return true;
}
return false;
}
}
static class JoinReducerProc extends AbsctractReducerReducerProc {
// pRS-pJOIN-cRS
@Override
public Object process(ReduceSinkOperator cRS, ReduceSinkDeduplicateProcCtx dedupCtx)
throws SemanticException {
JoinOperator pJoin =
CorrelationUtilities.findPossibleParent(cRS, JoinOperator.class, dedupCtx.trustScript());
if (pJoin != null && merge(cRS, pJoin, dedupCtx.minReducer())) {
pJoin.getConf().setFixedAsSorted(true);
CorrelationUtilities.replaceReduceSinkWithSelectOperator(cRS, dedupCtx.getPctx(), dedupCtx);
ReduceSinkOperator pRS =
CorrelationUtilities.findPossibleParent(
pJoin, ReduceSinkOperator.class, dedupCtx.trustScript());
if (pRS != null) {
pRS.getConf().setDeduplicated(true);
}
return true;
}
return false;
}
// pRS-pJOIN-cRS-cGBY
@Override
public Object process(
ReduceSinkOperator cRS, GroupByOperator cGBY, ReduceSinkDeduplicateProcCtx dedupCtx)
throws SemanticException {
Operator<?> start = CorrelationUtilities.getStartForGroupBy(cRS, dedupCtx);
JoinOperator pJoin =
CorrelationUtilities.findPossibleParent(
start, JoinOperator.class, dedupCtx.trustScript());
if (pJoin != null && merge(cRS, pJoin, dedupCtx.minReducer())) {
pJoin.getConf().setFixedAsSorted(true);
CorrelationUtilities.removeReduceSinkForGroupBy(cRS, cGBY, dedupCtx.getPctx(), dedupCtx);
ReduceSinkOperator pRS =
CorrelationUtilities.findPossibleParent(
pJoin, ReduceSinkOperator.class, dedupCtx.trustScript());
if (pRS != null) {
pRS.getConf().setDeduplicated(true);
}
return true;
}
return false;
}
}
static class ReducerReducerProc extends AbsctractReducerReducerProc {
// pRS-cRS
@Override
public Object process(ReduceSinkOperator cRS, ReduceSinkDeduplicateProcCtx dedupCtx)
throws SemanticException {
ReduceSinkOperator pRS =
CorrelationUtilities.findPossibleParent(
cRS, ReduceSinkOperator.class, dedupCtx.trustScript());
if (pRS != null && merge(cRS, pRS, dedupCtx.minReducer())) {
CorrelationUtilities.replaceReduceSinkWithSelectOperator(cRS, dedupCtx.getPctx(), dedupCtx);
pRS.getConf().setDeduplicated(true);
return true;
}
return false;
}
// pRS-cRS-cGBY
@Override
public Object process(
ReduceSinkOperator cRS, GroupByOperator cGBY, ReduceSinkDeduplicateProcCtx dedupCtx)
throws SemanticException {
Operator<?> start = CorrelationUtilities.getStartForGroupBy(cRS, dedupCtx);
ReduceSinkOperator pRS =
CorrelationUtilities.findPossibleParent(
start, ReduceSinkOperator.class, dedupCtx.trustScript());
if (pRS != null && merge(cRS, pRS, dedupCtx.minReducer())) {
if (dedupCtx.getPctx().getConf().getBoolVar(HiveConf.ConfVars.HIVEGROUPBYSKEW)) {
return false;
}
CorrelationUtilities.removeReduceSinkForGroupBy(cRS, cGBY, dedupCtx.getPctx(), dedupCtx);
pRS.getConf().setDeduplicated(true);
return true;
}
return false;
}
}
}