/** Create SortInfo, including sort tuple, to sort entire input row on sortExprs. */
private SortInfo createSortInfo(
PlanNode input, List<Expr> sortExprs, List<Boolean> isAsc, List<Boolean> nullsFirst) {
// create tuple for sort output = the entire materialized input in a single tuple
TupleDescriptor sortTupleDesc = analyzer_.getDescTbl().createTupleDescriptor("sort-tuple");
ExprSubstitutionMap sortSmap = new ExprSubstitutionMap();
List<Expr> sortSlotExprs = Lists.newArrayList();
sortTupleDesc.setIsMaterialized(true);
for (TupleId tid : input.getTupleIds()) {
TupleDescriptor tupleDesc = analyzer_.getTupleDesc(tid);
for (SlotDescriptor inputSlotDesc : tupleDesc.getSlots()) {
if (!inputSlotDesc.isMaterialized()) continue;
SlotDescriptor sortSlotDesc = analyzer_.copySlotDescriptor(inputSlotDesc, sortTupleDesc);
// all output slots need to be materialized
sortSlotDesc.setIsMaterialized(true);
sortSmap.put(new SlotRef(inputSlotDesc), new SlotRef(sortSlotDesc));
sortSlotExprs.add(new SlotRef(inputSlotDesc));
}
}
SortInfo sortInfo =
new SortInfo(Expr.substituteList(sortExprs, sortSmap, analyzer_, false), isAsc, nullsFirst);
LOG.trace("sortinfo exprs: " + Expr.debugString(sortInfo.getOrderingExprs()));
sortInfo.setMaterializedTupleInfo(sortTupleDesc, sortSlotExprs);
return sortInfo;
}
/** Returns an smap that combines the childrens' smaps. */
protected ExprSubstitutionMap getCombinedChildSmap() {
if (getChildren().size() == 0) return new ExprSubstitutionMap();
if (getChildren().size() == 1) return getChild(0).getOutputSmap();
ExprSubstitutionMap result =
ExprSubstitutionMap.combine(getChild(0).getOutputSmap(), getChild(1).getOutputSmap());
for (int i = 2; i < getChildren().size(); ++i) {
result = ExprSubstitutionMap.combine(result, getChild(i).getOutputSmap());
}
return result;
}
/**
* Creates the physical output and intermediate tuples as well as the logical to physical smap
* for this window group. Computes the mem layout for the tuple descriptors.
*/
public void init(Analyzer analyzer, String tupleName) {
Preconditions.checkState(physicalOutputTuple == null);
Preconditions.checkState(physicalIntermediateTuple == null);
Preconditions.checkState(analyticFnCalls.size() == analyticExprs.size());
// If needed, create the intermediate tuple first to maintain
// intermediateTupleId < outputTupleId for debugging purposes and consistency with
// tuple creation for aggregations.
boolean requiresIntermediateTuple =
AggregateInfoBase.requiresIntermediateTuple(analyticFnCalls);
if (requiresIntermediateTuple) {
physicalIntermediateTuple =
analyzer.getDescTbl().createTupleDescriptor(tupleName + "intermed");
physicalOutputTuple = analyzer.getDescTbl().createTupleDescriptor(tupleName + "out");
} else {
physicalOutputTuple = analyzer.getDescTbl().createTupleDescriptor(tupleName + "out");
physicalIntermediateTuple = physicalOutputTuple;
}
Preconditions.checkState(analyticExprs.size() == logicalIntermediateSlots.size());
Preconditions.checkState(analyticExprs.size() == logicalOutputSlots.size());
for (int i = 0; i < analyticExprs.size(); ++i) {
SlotDescriptor logicalOutputSlot = logicalOutputSlots.get(i);
SlotDescriptor physicalOutputSlot =
analyzer.copySlotDescriptor(logicalOutputSlot, physicalOutputTuple);
physicalOutputSlot.setIsMaterialized(true);
if (requiresIntermediateTuple) {
SlotDescriptor logicalIntermediateSlot = logicalIntermediateSlots.get(i);
SlotDescriptor physicalIntermediateSlot =
analyzer.copySlotDescriptor(logicalIntermediateSlot, physicalIntermediateTuple);
physicalIntermediateSlot.setIsMaterialized(true);
}
logicalToPhysicalSmap.put(new SlotRef(logicalOutputSlot), new SlotRef(physicalOutputSlot));
}
physicalOutputTuple.computeMemLayout();
if (requiresIntermediateTuple) physicalIntermediateTuple.computeMemLayout();
}
/**
* Sets outputSmap_ to compose(existing smap, combined child smap). Also substitutes conjuncts_
* using the combined child smap.
*/
protected void createDefaultSmap(Analyzer analyzer) {
ExprSubstitutionMap combinedChildSmap = getCombinedChildSmap();
outputSmap_ = ExprSubstitutionMap.compose(outputSmap_, combinedChildSmap, analyzer);
conjuncts_ = Expr.substituteList(conjuncts_, outputSmap_, analyzer, false);
}
/**
* Create plan tree for the entire sort group, including all contained window groups. Marks the
* SortNode as requiring its input to be partitioned if partitionExprs is not null (partitionExprs
* represent the data partition of the entire partition group of which this sort group is a part).
*/
private PlanNode createSortGroupPlan(
PlanNode root, SortGroup sortGroup, List<Expr> partitionExprs) throws ImpalaException {
List<Expr> partitionByExprs = sortGroup.partitionByExprs;
List<OrderByElement> orderByElements = sortGroup.orderByElements;
ExprSubstitutionMap sortSmap = null;
TupleId sortTupleId = null;
TupleDescriptor bufferedTupleDesc = null;
// map from input to buffered tuple
ExprSubstitutionMap bufferedSmap = new ExprSubstitutionMap();
// sort on partition by (pb) + order by (ob) exprs and create pb/ob predicates
if (!partitionByExprs.isEmpty() || !orderByElements.isEmpty()) {
// first sort on partitionExprs (direction doesn't matter)
List<Expr> sortExprs = Lists.newArrayList(partitionByExprs);
List<Boolean> isAsc =
Lists.newArrayList(Collections.nCopies(sortExprs.size(), new Boolean(true)));
// TODO: utilize a direction and nulls/first last that has benefit
// for subsequent sort groups
List<Boolean> nullsFirst =
Lists.newArrayList(Collections.nCopies(sortExprs.size(), new Boolean(true)));
// then sort on orderByExprs
for (OrderByElement orderByElement : sortGroup.orderByElements) {
sortExprs.add(orderByElement.getExpr());
isAsc.add(orderByElement.isAsc());
nullsFirst.add(orderByElement.getNullsFirstParam());
}
SortInfo sortInfo = createSortInfo(root, sortExprs, isAsc, nullsFirst);
SortNode sortNode = new SortNode(idGenerator_.getNextId(), root, sortInfo, false, 0);
// if this sort group does not have partitioning exprs, we want the sort
// to be executed like a regular distributed sort
if (!partitionByExprs.isEmpty()) sortNode.setIsAnalyticSort(true);
if (partitionExprs != null) {
// create required input partition
DataPartition inputPartition = DataPartition.UNPARTITIONED;
if (!partitionExprs.isEmpty()) {
inputPartition = new DataPartition(TPartitionType.HASH_PARTITIONED, partitionExprs);
}
sortNode.setInputPartition(inputPartition);
}
root = sortNode;
root.init(analyzer_);
sortSmap = sortNode.getOutputSmap();
// create bufferedTupleDesc and bufferedSmap
sortTupleId = sortNode.tupleIds_.get(0);
bufferedTupleDesc = analyzer_.getDescTbl().copyTupleDescriptor(sortTupleId, "buffered-tuple");
LOG.trace("desctbl: " + analyzer_.getDescTbl().debugString());
List<SlotDescriptor> inputSlots = analyzer_.getTupleDesc(sortTupleId).getSlots();
List<SlotDescriptor> bufferedSlots = bufferedTupleDesc.getSlots();
for (int i = 0; i < inputSlots.size(); ++i) {
bufferedSmap.put(new SlotRef(inputSlots.get(i)), new SlotRef(bufferedSlots.get(i)));
}
}
// create one AnalyticEvalNode per window group
for (WindowGroup windowGroup : sortGroup.windowGroups) {
// Create partition-by (pb) and order-by (ob) less-than predicates between the
// input tuple (the output of the preceding sort) and a buffered tuple that is
// identical to the input tuple. We need a different tuple descriptor for the
// buffered tuple because the generated predicates should compare two different
// tuple instances from the same input stream (i.e., the predicates should be
// evaluated over a row that is composed of the input and the buffered tuple).
// we need to remap the pb/ob exprs to a) the sort output, b) our buffer of the
// sort input
Expr partitionByEq = null;
if (!windowGroup.partitionByExprs.isEmpty()) {
partitionByEq =
createNullMatchingEquals(
Expr.substituteList(windowGroup.partitionByExprs, sortSmap, analyzer_, false),
sortTupleId,
bufferedSmap);
LOG.trace("partitionByEq: " + partitionByEq.debugString());
}
Expr orderByEq = null;
if (!windowGroup.orderByElements.isEmpty()) {
orderByEq =
createNullMatchingEquals(
OrderByElement.getOrderByExprs(
OrderByElement.substitute(windowGroup.orderByElements, sortSmap, analyzer_)),
sortTupleId,
bufferedSmap);
LOG.trace("orderByEq: " + orderByEq.debugString());
}
root =
new AnalyticEvalNode(
idGenerator_.getNextId(),
root,
stmtTupleIds_,
windowGroup.analyticFnCalls,
windowGroup.partitionByExprs,
windowGroup.orderByElements,
windowGroup.window,
analyticInfo_.getOutputTupleDesc(),
windowGroup.physicalIntermediateTuple,
windowGroup.physicalOutputTuple,
windowGroup.logicalToPhysicalSmap,
partitionByEq,
orderByEq,
bufferedTupleDesc);
root.init(analyzer_);
}
return root;
}