use of org.apache.hyracks.algebricks.core.algebra.expressions.VariableReferenceExpression in project asterixdb by apache.
the class RemoveLeftOuterUnnestForLeftOuterJoinRule method removeGroupByAndOuterUnnest.
// Performs the actual rewrite.
private void removeGroupByAndOuterUnnest(Mutable<ILogicalOperator> opRef, IOptimizationContext context, LeftOuterUnnestOperator outerUnnest, GroupByOperator gbyOperator, LeftOuterJoinOperator lojOperator, LogicalVariable listifyVar) throws AlgebricksException {
List<LogicalVariable> lhs = new ArrayList<>();
List<Mutable<ILogicalExpression>> rhs = new ArrayList<>();
lhs.add(outerUnnest.getVariable());
rhs.add(new MutableObject<ILogicalExpression>(new VariableReferenceExpression(listifyVar)));
List<Pair<LogicalVariable, Mutable<ILogicalExpression>>> gbyList = gbyOperator.getGroupByList();
for (Pair<LogicalVariable, Mutable<ILogicalExpression>> gbyPair : gbyList) {
lhs.add(gbyPair.first);
rhs.add(gbyPair.second);
}
AssignOperator assignOp = new AssignOperator(lhs, rhs);
assignOp.getInputs().add(new MutableObject<ILogicalOperator>(lojOperator));
context.computeAndSetTypeEnvironmentForOperator(assignOp);
opRef.setValue(assignOp);
}
use of org.apache.hyracks.algebricks.core.algebra.expressions.VariableReferenceExpression in project asterixdb by apache.
the class RemoveRedundantListifyRule method appliesForReverseCase.
private boolean appliesForReverseCase(Mutable<ILogicalOperator> opRef, Set<LogicalVariable> varUsedAbove, IOptimizationContext context) throws AlgebricksException {
AbstractLogicalOperator op1 = (AbstractLogicalOperator) opRef.getValue();
if (op1.getOperatorTag() != LogicalOperatorTag.AGGREGATE) {
return false;
}
AggregateOperator agg = (AggregateOperator) op1;
if (agg.getVariables().size() > 1 || agg.getVariables().size() <= 0) {
return false;
}
LogicalVariable aggVar = agg.getVariables().get(0);
ILogicalExpression aggFun = agg.getExpressions().get(0).getValue();
AbstractFunctionCallExpression f = (AbstractFunctionCallExpression) aggFun;
if (!BuiltinFunctions.LISTIFY.equals(f.getFunctionIdentifier())) {
return false;
}
if (f.getArguments().size() != 1) {
return false;
}
ILogicalExpression arg0 = f.getArguments().get(0).getValue();
if (((AbstractLogicalExpression) arg0).getExpressionTag() != LogicalExpressionTag.VARIABLE) {
return false;
}
LogicalVariable aggInputVar = ((VariableReferenceExpression) arg0).getVariableReference();
if (varUsedAbove.contains(aggInputVar)) {
return false;
}
if (agg.getInputs().size() == 0) {
return false;
}
AbstractLogicalOperator op2 = (AbstractLogicalOperator) agg.getInputs().get(0).getValue();
if (op2.getOperatorTag() != LogicalOperatorTag.UNNEST) {
return false;
}
UnnestOperator unnest = (UnnestOperator) op2;
if (unnest.getPositionalVariable() != null) {
return false;
}
if (!unnest.getVariable().equals(aggInputVar)) {
return false;
}
ILogicalExpression unnestArg = unnest.getExpressionRef().getValue();
if (unnestArg.getExpressionTag() != LogicalExpressionTag.FUNCTION_CALL) {
return false;
}
AbstractFunctionCallExpression scanFunc = (AbstractFunctionCallExpression) unnestArg;
if (scanFunc.getFunctionIdentifier() != BuiltinFunctions.SCAN_COLLECTION) {
return false;
}
if (scanFunc.getArguments().size() != 1) {
return false;
}
List<LogicalVariable> assgnVars = new ArrayList<>(1);
assgnVars.add(aggVar);
AssignOperator assign = new AssignOperator(assgnVars, scanFunc.getArguments());
assign.getInputs().add(unnest.getInputs().get(0));
context.computeAndSetTypeEnvironmentForOperator(assign);
opRef.setValue(assign);
return true;
}
use of org.apache.hyracks.algebricks.core.algebra.expressions.VariableReferenceExpression in project asterixdb by apache.
the class SimilarityCheckRule method replaceWithVariableArg.
private boolean replaceWithVariableArg(Mutable<ILogicalExpression> expRef, FunctionIdentifier normFuncIdent, AsterixConstantValue constVal, VariableReferenceExpression varRefExpr, List<AssignOperator> assigns, IOptimizationContext context) throws AlgebricksException {
// Find variable in assigns to determine its originating function.
LogicalVariable var = varRefExpr.getVariableReference();
Mutable<ILogicalExpression> simFuncExprRef = null;
ScalarFunctionCallExpression simCheckFuncExpr = null;
AssignOperator matchingAssign = null;
for (int i = 0; i < assigns.size(); i++) {
AssignOperator assign = assigns.get(i);
for (int j = 0; j < assign.getVariables().size(); j++) {
// Check if variables match.
if (var != assign.getVariables().get(j)) {
continue;
}
// Check if corresponding expr is a function call.
if (assign.getExpressions().get(j).getValue().getExpressionTag() != LogicalExpressionTag.FUNCTION_CALL) {
continue;
}
simFuncExprRef = assign.getExpressions().get(j);
// Analyze function expression and get equivalent similarity check function.
simCheckFuncExpr = getSimilarityCheckExpr(normFuncIdent, constVal, (AbstractFunctionCallExpression) simFuncExprRef.getValue());
matchingAssign = assign;
break;
}
if (simCheckFuncExpr != null) {
break;
}
}
// Only non-null if we found that varRefExpr refers to an optimizable similarity function call.
if (simCheckFuncExpr != null) {
// Create a new assign under matchingAssign which assigns the result of our similarity-check function to a variable.
LogicalVariable newVar = context.newVar();
AssignOperator newAssign = new AssignOperator(newVar, new MutableObject<ILogicalExpression>(simCheckFuncExpr));
// Hook up inputs.
newAssign.getInputs().add(new MutableObject<ILogicalOperator>(matchingAssign.getInputs().get(0).getValue()));
matchingAssign.getInputs().get(0).setValue(newAssign);
// Replace select condition with a get-item on newVarFromExpression.
List<Mutable<ILogicalExpression>> selectGetItemArgs = new ArrayList<Mutable<ILogicalExpression>>();
// First arg is a variable reference expr on newVarFromExpression.
selectGetItemArgs.add(new MutableObject<ILogicalExpression>(new VariableReferenceExpression(newVar)));
// Second arg is the item index to be accessed, here 0.
selectGetItemArgs.add(new MutableObject<ILogicalExpression>(new ConstantExpression(new AsterixConstantValue(new AInt32(0)))));
ILogicalExpression selectGetItemExpr = new ScalarFunctionCallExpression(FunctionUtil.getFunctionInfo(BuiltinFunctions.GET_ITEM), selectGetItemArgs);
// Replace the old similarity function call with the new getItemExpr.
expRef.setValue(selectGetItemExpr);
// Replace expr corresponding to original variable in the original assign with a get-item on
// newVarFromExpression.
List<Mutable<ILogicalExpression>> assignGetItemArgs = new ArrayList<Mutable<ILogicalExpression>>();
// First arg is a variable reference expr on newVarFromExpression.
assignGetItemArgs.add(new MutableObject<ILogicalExpression>(new VariableReferenceExpression(newVar)));
// Second arg is the item index to be accessed, here 1.
assignGetItemArgs.add(new MutableObject<ILogicalExpression>(new ConstantExpression(new AsterixConstantValue(new AInt32(1)))));
ILogicalExpression assignGetItemExpr = new ScalarFunctionCallExpression(FunctionUtil.getFunctionInfo(BuiltinFunctions.GET_ITEM), assignGetItemArgs);
// Replace the original assign expr with the get-item expr.
simFuncExprRef.setValue(assignGetItemExpr);
context.computeAndSetTypeEnvironmentForOperator(newAssign);
context.computeAndSetTypeEnvironmentForOperator(matchingAssign);
return true;
}
return false;
}
use of org.apache.hyracks.algebricks.core.algebra.expressions.VariableReferenceExpression in project asterixdb by apache.
the class IntroduceSelectAccessMethodRule method connectAll2ndarySearchPlanWithIntersect.
/**
* Connect each secondary index utilization plan to a common INTERSECT operator.
*/
private ILogicalOperator connectAll2ndarySearchPlanWithIntersect(List<ILogicalOperator> subRoots, IOptimizationContext context) throws AlgebricksException {
ILogicalOperator lop = subRoots.get(0);
List<List<LogicalVariable>> inputVars = new ArrayList<>(subRoots.size());
for (int i = 0; i < subRoots.size(); i++) {
if (lop.getOperatorTag() != subRoots.get(i).getOperatorTag()) {
throw new AlgebricksException("The data source root should have the same operator type.");
}
if (lop.getInputs().size() != 1) {
throw new AlgebricksException("The primary search has multiple inputs.");
}
ILogicalOperator curRoot = subRoots.get(i);
OrderOperator order = (OrderOperator) curRoot.getInputs().get(0).getValue();
List<LogicalVariable> orderedColumn = new ArrayList<>(order.getOrderExpressions().size());
for (Pair<OrderOperator.IOrder, Mutable<ILogicalExpression>> orderExpression : order.getOrderExpressions()) {
if (orderExpression.second.getValue().getExpressionTag() != LogicalExpressionTag.VARIABLE) {
throw new AlgebricksException("The order by expression should be variables, but they aren't variables.");
}
VariableReferenceExpression orderedVar = (VariableReferenceExpression) orderExpression.second.getValue();
orderedColumn.add(orderedVar.getVariableReference());
}
inputVars.add(orderedColumn);
}
List<LogicalVariable> outputVar = inputVars.get(0);
IntersectOperator intersect = new IntersectOperator(outputVar, inputVars);
for (ILogicalOperator secondarySearch : subRoots) {
intersect.getInputs().add(secondarySearch.getInputs().get(0));
}
context.computeAndSetTypeEnvironmentForOperator(intersect);
lop.getInputs().set(0, new MutableObject<>(intersect));
return lop;
}
use of org.apache.hyracks.algebricks.core.algebra.expressions.VariableReferenceExpression in project asterixdb by apache.
the class BTreeAccessMethod method createSecondaryToPrimaryPlan.
@Override
public ILogicalOperator createSecondaryToPrimaryPlan(Mutable<ILogicalExpression> conditionRef, OptimizableOperatorSubTree indexSubTree, OptimizableOperatorSubTree probeSubTree, Index chosenIndex, AccessMethodAnalysisContext analysisCtx, boolean retainInput, boolean retainNull, boolean requiresBroadcast, IOptimizationContext context) throws AlgebricksException {
Dataset dataset = indexSubTree.getDataset();
ARecordType recordType = indexSubTree.getRecordType();
ARecordType metaRecordType = indexSubTree.getMetaRecordType();
// we made sure indexSubTree has datasource scan
AbstractDataSourceOperator dataSourceOp = (AbstractDataSourceOperator) indexSubTree.getDataSourceRef().getValue();
List<Pair<Integer, Integer>> exprAndVarList = analysisCtx.getIndexExprsFromIndexExprsAndVars(chosenIndex);
int numSecondaryKeys = analysisCtx.getNumberOfMatchedKeys(chosenIndex);
// List of function expressions that will be replaced by the secondary-index search.
// These func exprs will be removed from the select condition at the very end of this method.
Set<ILogicalExpression> replacedFuncExprs = new HashSet<>();
// Info on high and low keys for the BTree search predicate.
ILogicalExpression[] lowKeyExprs = new ILogicalExpression[numSecondaryKeys];
ILogicalExpression[] highKeyExprs = new ILogicalExpression[numSecondaryKeys];
LimitType[] lowKeyLimits = new LimitType[numSecondaryKeys];
LimitType[] highKeyLimits = new LimitType[numSecondaryKeys];
boolean[] lowKeyInclusive = new boolean[numSecondaryKeys];
boolean[] highKeyInclusive = new boolean[numSecondaryKeys];
ILogicalExpression[] constantAtRuntimeExpressions = new ILogicalExpression[numSecondaryKeys];
LogicalVariable[] constAtRuntimeExprVars = new LogicalVariable[numSecondaryKeys];
/* TODO: For now we don't do any sophisticated analysis of the func exprs to come up with "the best" range
* predicate. If we can't figure out how to integrate a certain funcExpr into the current predicate,
* we just bail by setting this flag.*/
boolean couldntFigureOut = false;
boolean doneWithExprs = false;
boolean isEqCondition = false;
BitSet setLowKeys = new BitSet(numSecondaryKeys);
BitSet setHighKeys = new BitSet(numSecondaryKeys);
// Go through the func exprs listed as optimizable by the chosen index,
// and formulate a range predicate on the secondary-index keys.
// checks whether a type casting happened from a real (FLOAT, DOUBLE) value to an INT value
// since we have a round issues when dealing with LT(<) OR GT(>) operator.
boolean realTypeConvertedToIntegerType;
for (Pair<Integer, Integer> exprIndex : exprAndVarList) {
// Position of the field of matchedFuncExprs.get(exprIndex) in the chosen index's indexed exprs.
IOptimizableFuncExpr optFuncExpr = analysisCtx.getMatchedFuncExpr(exprIndex.first);
int keyPos = indexOf(optFuncExpr.getFieldName(0), chosenIndex.getKeyFieldNames());
if (keyPos < 0 && optFuncExpr.getNumLogicalVars() > 1) {
// If we are optimizing a join, the matching field may be the second field name.
keyPos = indexOf(optFuncExpr.getFieldName(1), chosenIndex.getKeyFieldNames());
}
if (keyPos < 0) {
throw CompilationException.create(ErrorCode.NO_INDEX_FIELD_NAME_FOR_GIVEN_FUNC_EXPR);
}
Pair<ILogicalExpression, Boolean> returnedSearchKeyExpr = AccessMethodUtils.createSearchKeyExpr(optFuncExpr, indexSubTree, probeSubTree);
ILogicalExpression searchKeyExpr = returnedSearchKeyExpr.first;
if (searchKeyExpr.getExpressionTag() == LogicalExpressionTag.FUNCTION_CALL) {
constantAtRuntimeExpressions[keyPos] = searchKeyExpr;
constAtRuntimeExprVars[keyPos] = context.newVar();
searchKeyExpr = new VariableReferenceExpression(constAtRuntimeExprVars[keyPos]);
}
realTypeConvertedToIntegerType = returnedSearchKeyExpr.second;
LimitType limit = getLimitType(optFuncExpr, probeSubTree);
//
if (realTypeConvertedToIntegerType) {
if (limit == LimitType.HIGH_EXCLUSIVE) {
limit = LimitType.HIGH_INCLUSIVE;
} else if (limit == LimitType.LOW_EXCLUSIVE) {
limit = LimitType.LOW_INCLUSIVE;
}
}
switch(limit) {
case EQUAL:
{
if (lowKeyLimits[keyPos] == null && highKeyLimits[keyPos] == null) {
lowKeyLimits[keyPos] = highKeyLimits[keyPos] = limit;
lowKeyInclusive[keyPos] = highKeyInclusive[keyPos] = true;
lowKeyExprs[keyPos] = highKeyExprs[keyPos] = searchKeyExpr;
setLowKeys.set(keyPos);
setHighKeys.set(keyPos);
isEqCondition = true;
} else {
// (once from analyzing each side of the join)
if (lowKeyLimits[keyPos] == limit && lowKeyInclusive[keyPos] == true && lowKeyExprs[keyPos].equals(searchKeyExpr) && highKeyLimits[keyPos] == limit && highKeyInclusive[keyPos] == true && highKeyExprs[keyPos].equals(searchKeyExpr)) {
isEqCondition = true;
break;
}
couldntFigureOut = true;
}
// If high and low keys are set, we exit for now.
if (setLowKeys.cardinality() == numSecondaryKeys && setHighKeys.cardinality() == numSecondaryKeys) {
doneWithExprs = true;
}
break;
}
case HIGH_EXCLUSIVE:
{
if (highKeyLimits[keyPos] == null || (highKeyLimits[keyPos] != null && highKeyInclusive[keyPos])) {
highKeyLimits[keyPos] = limit;
highKeyExprs[keyPos] = searchKeyExpr;
highKeyInclusive[keyPos] = false;
} else {
// (once from analyzing each side of the join)
if (highKeyLimits[keyPos] == limit && highKeyInclusive[keyPos] == false && highKeyExprs[keyPos].equals(searchKeyExpr)) {
break;
}
couldntFigureOut = true;
doneWithExprs = true;
}
break;
}
case HIGH_INCLUSIVE:
{
if (highKeyLimits[keyPos] == null) {
highKeyLimits[keyPos] = limit;
highKeyExprs[keyPos] = searchKeyExpr;
highKeyInclusive[keyPos] = true;
} else {
// (once from analyzing each side of the join)
if (highKeyLimits[keyPos] == limit && highKeyInclusive[keyPos] == true && highKeyExprs[keyPos].equals(searchKeyExpr)) {
break;
}
couldntFigureOut = true;
doneWithExprs = true;
}
break;
}
case LOW_EXCLUSIVE:
{
if (lowKeyLimits[keyPos] == null || (lowKeyLimits[keyPos] != null && lowKeyInclusive[keyPos])) {
lowKeyLimits[keyPos] = limit;
lowKeyExprs[keyPos] = searchKeyExpr;
lowKeyInclusive[keyPos] = false;
} else {
// (once from analyzing each side of the join)
if (lowKeyLimits[keyPos] == limit && lowKeyInclusive[keyPos] == false && lowKeyExprs[keyPos].equals(searchKeyExpr)) {
break;
}
couldntFigureOut = true;
doneWithExprs = true;
}
break;
}
case LOW_INCLUSIVE:
{
if (lowKeyLimits[keyPos] == null) {
lowKeyLimits[keyPos] = limit;
lowKeyExprs[keyPos] = searchKeyExpr;
lowKeyInclusive[keyPos] = true;
} else {
// (once from analyzing each side of the join)
if (lowKeyLimits[keyPos] == limit && lowKeyInclusive[keyPos] == true && lowKeyExprs[keyPos].equals(searchKeyExpr)) {
break;
}
couldntFigureOut = true;
doneWithExprs = true;
}
break;
}
default:
{
throw new IllegalStateException();
}
}
if (!couldntFigureOut) {
// Remember to remove this funcExpr later.
replacedFuncExprs.add(analysisCtx.getMatchedFuncExpr(exprIndex.first).getFuncExpr());
}
if (doneWithExprs) {
break;
}
}
if (couldntFigureOut) {
return null;
}
// If the select condition contains mixed open/closed intervals on multiple keys, then we make all intervals
// closed to obtain a superset of answers and leave the original selection in place.
boolean primaryIndexPostProccessingIsNeeded = false;
for (int i = 1; i < numSecondaryKeys; ++i) {
if (lowKeyInclusive[i] != lowKeyInclusive[0]) {
Arrays.fill(lowKeyInclusive, true);
primaryIndexPostProccessingIsNeeded = true;
break;
}
}
for (int i = 1; i < numSecondaryKeys; ++i) {
if (highKeyInclusive[i] != highKeyInclusive[0]) {
Arrays.fill(highKeyInclusive, true);
primaryIndexPostProccessingIsNeeded = true;
break;
}
}
// determine cases when prefix search could be applied
for (int i = 1; i < lowKeyExprs.length; i++) {
if (lowKeyLimits[0] == null && lowKeyLimits[i] != null || lowKeyLimits[0] != null && lowKeyLimits[i] == null || highKeyLimits[0] == null && highKeyLimits[i] != null || highKeyLimits[0] != null && highKeyLimits[i] == null) {
numSecondaryKeys--;
primaryIndexPostProccessingIsNeeded = true;
}
}
if (lowKeyLimits[0] == null) {
lowKeyInclusive[0] = true;
}
if (highKeyLimits[0] == null) {
highKeyInclusive[0] = true;
}
// Here we generate vars and funcs for assigning the secondary-index keys to be fed into the secondary-index
// search.
// List of variables for the assign.
ArrayList<LogicalVariable> keyVarList = new ArrayList<>();
// List of variables and expressions for the assign.
ArrayList<LogicalVariable> assignKeyVarList = new ArrayList<>();
ArrayList<Mutable<ILogicalExpression>> assignKeyExprList = new ArrayList<>();
int numLowKeys = createKeyVarsAndExprs(numSecondaryKeys, lowKeyLimits, lowKeyExprs, assignKeyVarList, assignKeyExprList, keyVarList, context, constantAtRuntimeExpressions, constAtRuntimeExprVars);
int numHighKeys = createKeyVarsAndExprs(numSecondaryKeys, highKeyLimits, highKeyExprs, assignKeyVarList, assignKeyExprList, keyVarList, context, constantAtRuntimeExpressions, constAtRuntimeExprVars);
BTreeJobGenParams jobGenParams = new BTreeJobGenParams(chosenIndex.getIndexName(), IndexType.BTREE, dataset.getDataverseName(), dataset.getDatasetName(), retainInput, requiresBroadcast);
jobGenParams.setLowKeyInclusive(lowKeyInclusive[0]);
jobGenParams.setHighKeyInclusive(highKeyInclusive[0]);
jobGenParams.setIsEqCondition(isEqCondition);
jobGenParams.setLowKeyVarList(keyVarList, 0, numLowKeys);
jobGenParams.setHighKeyVarList(keyVarList, numLowKeys, numHighKeys);
ILogicalOperator inputOp = null;
if (!assignKeyVarList.isEmpty()) {
// Assign operator that sets the constant secondary-index search-key fields if necessary.
AssignOperator assignConstantSearchKeys = new AssignOperator(assignKeyVarList, assignKeyExprList);
// Input to this assign is the EmptyTupleSource (which the dataSourceScan also must have had as input).
assignConstantSearchKeys.getInputs().add(new MutableObject<>(OperatorManipulationUtil.deepCopy(dataSourceOp.getInputs().get(0).getValue())));
assignConstantSearchKeys.setExecutionMode(dataSourceOp.getExecutionMode());
inputOp = assignConstantSearchKeys;
} else if (probeSubTree == null) {
//nonpure case
//Make sure that the nonpure function is unpartitioned
ILogicalOperator checkOp = dataSourceOp.getInputs().get(0).getValue();
while (checkOp.getExecutionMode() != ExecutionMode.UNPARTITIONED) {
if (checkOp.getInputs().size() == 1) {
checkOp = checkOp.getInputs().get(0).getValue();
} else {
return null;
}
}
inputOp = dataSourceOp.getInputs().get(0).getValue();
} else {
// All index search keys are variables.
inputOp = probeSubTree.getRoot();
}
ILogicalOperator secondaryIndexUnnestOp = AccessMethodUtils.createSecondaryIndexUnnestMap(dataset, recordType, metaRecordType, chosenIndex, inputOp, jobGenParams, context, false, retainInput, retainNull);
// Generate the rest of the upstream plan which feeds the search results into the primary index.
AbstractUnnestMapOperator primaryIndexUnnestOp = null;
boolean isPrimaryIndex = chosenIndex.isPrimaryIndex();
if (dataset.getDatasetType() == DatasetType.EXTERNAL) {
// External dataset
UnnestMapOperator externalDataAccessOp = AccessMethodUtils.createExternalDataLookupUnnestMap(dataSourceOp, dataset, recordType, secondaryIndexUnnestOp, context, retainInput, retainNull);
indexSubTree.getDataSourceRef().setValue(externalDataAccessOp);
return externalDataAccessOp;
} else if (!isPrimaryIndex) {
primaryIndexUnnestOp = AccessMethodUtils.createPrimaryIndexUnnestMap(dataSourceOp, dataset, recordType, metaRecordType, secondaryIndexUnnestOp, context, true, retainInput, retainNull, false);
// Adds equivalence classes --- one equivalent class between a primary key
// variable and a record field-access expression.
EquivalenceClassUtils.addEquivalenceClassesForPrimaryIndexAccess(primaryIndexUnnestOp, dataSourceOp.getVariables(), recordType, metaRecordType, dataset, context);
} else {
List<Object> primaryIndexOutputTypes = new ArrayList<>();
AccessMethodUtils.appendPrimaryIndexTypes(dataset, recordType, metaRecordType, primaryIndexOutputTypes);
List<LogicalVariable> scanVariables = dataSourceOp.getVariables();
// If not, we create a new condition based on remaining ones.
if (!primaryIndexPostProccessingIsNeeded) {
List<Mutable<ILogicalExpression>> remainingFuncExprs = new ArrayList<>();
try {
getNewConditionExprs(conditionRef, replacedFuncExprs, remainingFuncExprs);
} catch (CompilationException e) {
return null;
}
// Generate new condition.
if (!remainingFuncExprs.isEmpty()) {
ILogicalExpression pulledCond = createSelectCondition(remainingFuncExprs);
conditionRef.setValue(pulledCond);
} else {
conditionRef.setValue(null);
}
}
// Checks whether LEFT_OUTER_UNNESTMAP operator is required.
boolean leftOuterUnnestMapRequired = false;
if (retainNull && retainInput) {
leftOuterUnnestMapRequired = true;
} else {
leftOuterUnnestMapRequired = false;
}
if (conditionRef.getValue() != null) {
// The job gen parameters are transferred to the actual job gen
// via the UnnestMapOperator's function arguments.
List<Mutable<ILogicalExpression>> primaryIndexFuncArgs = new ArrayList<>();
jobGenParams.writeToFuncArgs(primaryIndexFuncArgs);
// An index search is expressed as an unnest-map over an
// index-search function.
IFunctionInfo primaryIndexSearch = FunctionUtil.getFunctionInfo(BuiltinFunctions.INDEX_SEARCH);
UnnestingFunctionCallExpression primaryIndexSearchFunc = new UnnestingFunctionCallExpression(primaryIndexSearch, primaryIndexFuncArgs);
primaryIndexSearchFunc.setReturnsUniqueValues(true);
if (!leftOuterUnnestMapRequired) {
primaryIndexUnnestOp = new UnnestMapOperator(scanVariables, new MutableObject<ILogicalExpression>(primaryIndexSearchFunc), primaryIndexOutputTypes, retainInput);
} else {
primaryIndexUnnestOp = new LeftOuterUnnestMapOperator(scanVariables, new MutableObject<ILogicalExpression>(primaryIndexSearchFunc), primaryIndexOutputTypes, true);
}
} else {
if (!leftOuterUnnestMapRequired) {
primaryIndexUnnestOp = new UnnestMapOperator(scanVariables, ((UnnestMapOperator) secondaryIndexUnnestOp).getExpressionRef(), primaryIndexOutputTypes, retainInput);
} else {
primaryIndexUnnestOp = new LeftOuterUnnestMapOperator(scanVariables, ((LeftOuterUnnestMapOperator) secondaryIndexUnnestOp).getExpressionRef(), primaryIndexOutputTypes, true);
}
}
primaryIndexUnnestOp.getInputs().add(new MutableObject<>(inputOp));
// Adds equivalence classes --- one equivalent class between a primary key
// variable and a record field-access expression.
EquivalenceClassUtils.addEquivalenceClassesForPrimaryIndexAccess(primaryIndexUnnestOp, scanVariables, recordType, metaRecordType, dataset, context);
}
return primaryIndexUnnestOp;
}
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