use of org.apache.calcite.sql.fun.SqlCountAggFunction in project flink by apache.
the class FlinkAggregateExpandDistinctAggregatesRule method onMatch.
//~ Methods ----------------------------------------------------------------
public void onMatch(RelOptRuleCall call) {
final Aggregate aggregate = call.rel(0);
if (!aggregate.containsDistinctCall()) {
return;
}
// Find all of the agg expressions. We use a LinkedHashSet to ensure
// determinism.
int nonDistinctCount = 0;
int distinctCount = 0;
int filterCount = 0;
int unsupportedAggCount = 0;
final Set<Pair<List<Integer>, Integer>> argLists = new LinkedHashSet<>();
for (AggregateCall aggCall : aggregate.getAggCallList()) {
if (aggCall.filterArg >= 0) {
++filterCount;
}
if (!aggCall.isDistinct()) {
++nonDistinctCount;
if (!(aggCall.getAggregation() instanceof SqlCountAggFunction || aggCall.getAggregation() instanceof SqlSumAggFunction || aggCall.getAggregation() instanceof SqlMinMaxAggFunction)) {
++unsupportedAggCount;
}
continue;
}
++distinctCount;
argLists.add(Pair.of(aggCall.getArgList(), aggCall.filterArg));
}
Preconditions.checkState(argLists.size() > 0, "containsDistinctCall lied");
// arguments then we can use a more efficient form.
if (nonDistinctCount == 0 && argLists.size() == 1) {
final Pair<List<Integer>, Integer> pair = Iterables.getOnlyElement(argLists);
final RelBuilder relBuilder = call.builder();
convertMonopole(relBuilder, aggregate, pair.left, pair.right);
call.transformTo(relBuilder.build());
return;
}
if (useGroupingSets) {
rewriteUsingGroupingSets(call, aggregate, argLists);
return;
}
// we can generate multi-phase aggregates
if (// one distinct aggregate
distinctCount == 1 && // no filter
filterCount == 0 && // sum/min/max/count in non-distinct aggregate
unsupportedAggCount == 0 && nonDistinctCount > 0) {
// one or more non-distinct aggregates
final RelBuilder relBuilder = call.builder();
convertSingletonDistinct(relBuilder, aggregate, argLists);
call.transformTo(relBuilder.build());
return;
}
// Create a list of the expressions which will yield the final result.
// Initially, the expressions point to the input field.
final List<RelDataTypeField> aggFields = aggregate.getRowType().getFieldList();
final List<RexInputRef> refs = new ArrayList<>();
final List<String> fieldNames = aggregate.getRowType().getFieldNames();
final ImmutableBitSet groupSet = aggregate.getGroupSet();
final int groupAndIndicatorCount = aggregate.getGroupCount() + aggregate.getIndicatorCount();
for (int i : Util.range(groupAndIndicatorCount)) {
refs.add(RexInputRef.of(i, aggFields));
}
// Aggregate the original relation, including any non-distinct aggregates.
final List<AggregateCall> newAggCallList = new ArrayList<>();
int i = -1;
for (AggregateCall aggCall : aggregate.getAggCallList()) {
++i;
if (aggCall.isDistinct()) {
refs.add(null);
continue;
}
refs.add(new RexInputRef(groupAndIndicatorCount + newAggCallList.size(), aggFields.get(groupAndIndicatorCount + i).getType()));
newAggCallList.add(aggCall);
}
// In the case where there are no non-distinct aggregates (regardless of
// whether there are group bys), there's no need to generate the
// extra aggregate and join.
final RelBuilder relBuilder = call.builder();
relBuilder.push(aggregate.getInput());
int n = 0;
if (!newAggCallList.isEmpty()) {
final RelBuilder.GroupKey groupKey = relBuilder.groupKey(groupSet, aggregate.indicator, aggregate.getGroupSets());
relBuilder.aggregate(groupKey, newAggCallList);
++n;
}
// set of operands.
for (Pair<List<Integer>, Integer> argList : argLists) {
doRewrite(relBuilder, aggregate, n++, argList.left, argList.right, refs);
}
relBuilder.project(refs, fieldNames);
call.transformTo(relBuilder.build());
}
use of org.apache.calcite.sql.fun.SqlCountAggFunction in project drill by axbaretto.
the class DrillReduceAggregatesRule method reduceStddev.
private RexNode reduceStddev(Aggregate oldAggRel, AggregateCall oldCall, boolean biased, boolean sqrt, List<AggregateCall> newCalls, Map<AggregateCall, RexNode> aggCallMapping, List<RexNode> inputExprs) {
// stddev_pop(x) ==>
// power(
// (sum(x * x) - sum(x) * sum(x) / count(x))
// / count(x),
// .5)
//
// stddev_samp(x) ==>
// power(
// (sum(x * x) - sum(x) * sum(x) / count(x))
// / nullif(count(x) - 1, 0),
// .5)
final PlannerSettings plannerSettings = (PlannerSettings) oldAggRel.getCluster().getPlanner().getContext();
final boolean isInferenceEnabled = plannerSettings.isTypeInferenceEnabled();
final int nGroups = oldAggRel.getGroupCount();
RelDataTypeFactory typeFactory = oldAggRel.getCluster().getTypeFactory();
final RexBuilder rexBuilder = oldAggRel.getCluster().getRexBuilder();
assert oldCall.getArgList().size() == 1 : oldCall.getArgList();
final int argOrdinal = oldCall.getArgList().get(0);
final RelDataType argType = getFieldType(oldAggRel.getInput(), argOrdinal);
// final RexNode argRef = inputExprs.get(argOrdinal);
RexNode argRef = rexBuilder.makeCall(CastHighOp, inputExprs.get(argOrdinal));
inputExprs.set(argOrdinal, argRef);
final RexNode argSquared = rexBuilder.makeCall(SqlStdOperatorTable.MULTIPLY, argRef, argRef);
final int argSquaredOrdinal = lookupOrAdd(inputExprs, argSquared);
RelDataType sumType = TypeInferenceUtils.getDrillSqlReturnTypeInference(SqlKind.SUM.name(), ImmutableList.<DrillFuncHolder>of()).inferReturnType(oldCall.createBinding(oldAggRel));
sumType = typeFactory.createTypeWithNullability(sumType, true);
final AggregateCall sumArgSquaredAggCall = AggregateCall.create(new DrillCalciteSqlAggFunctionWrapper(new SqlSumAggFunction(sumType), sumType), oldCall.isDistinct(), oldCall.isApproximate(), ImmutableIntList.of(argSquaredOrdinal), -1, sumType, null);
final RexNode sumArgSquared = rexBuilder.addAggCall(sumArgSquaredAggCall, nGroups, oldAggRel.indicator, newCalls, aggCallMapping, ImmutableList.of(argType));
final AggregateCall sumArgAggCall = AggregateCall.create(new DrillCalciteSqlAggFunctionWrapper(new SqlSumAggFunction(sumType), sumType), oldCall.isDistinct(), oldCall.isApproximate(), ImmutableIntList.of(argOrdinal), -1, sumType, null);
final RexNode sumArg = rexBuilder.addAggCall(sumArgAggCall, nGroups, oldAggRel.indicator, newCalls, aggCallMapping, ImmutableList.of(argType));
final RexNode sumSquaredArg = rexBuilder.makeCall(SqlStdOperatorTable.MULTIPLY, sumArg, sumArg);
final SqlCountAggFunction countAgg = (SqlCountAggFunction) SqlStdOperatorTable.COUNT;
final RelDataType countType = countAgg.getReturnType(typeFactory);
final AggregateCall countArgAggCall = AggregateCall.create(countAgg, oldCall.isDistinct(), oldCall.isApproximate(), oldCall.getArgList(), -1, countType, null);
final RexNode countArg = rexBuilder.addAggCall(countArgAggCall, nGroups, oldAggRel.indicator, newCalls, aggCallMapping, ImmutableList.of(argType));
final RexNode avgSumSquaredArg = rexBuilder.makeCall(SqlStdOperatorTable.DIVIDE, sumSquaredArg, countArg);
final RexNode diff = rexBuilder.makeCall(SqlStdOperatorTable.MINUS, sumArgSquared, avgSumSquaredArg);
final RexNode denominator;
if (biased) {
denominator = countArg;
} else {
final RexLiteral one = rexBuilder.makeExactLiteral(BigDecimal.ONE);
final RexNode nul = rexBuilder.makeNullLiteral(countArg.getType());
final RexNode countMinusOne = rexBuilder.makeCall(SqlStdOperatorTable.MINUS, countArg, one);
final RexNode countEqOne = rexBuilder.makeCall(SqlStdOperatorTable.EQUALS, countArg, one);
denominator = rexBuilder.makeCall(SqlStdOperatorTable.CASE, countEqOne, nul, countMinusOne);
}
final SqlOperator divide;
if (isInferenceEnabled) {
divide = new DrillSqlOperator("divide", 2, true, oldCall.getType(), false);
} else {
divide = SqlStdOperatorTable.DIVIDE;
}
final RexNode div = rexBuilder.makeCall(divide, diff, denominator);
RexNode result = div;
if (sqrt) {
final RexNode half = rexBuilder.makeExactLiteral(new BigDecimal("0.5"));
result = rexBuilder.makeCall(SqlStdOperatorTable.POWER, div, half);
}
if (isInferenceEnabled) {
return result;
} else {
/*
* Currently calcite's strategy to infer the return type of aggregate functions
* is wrong because it uses the first known argument to determine output type. For
* instance if we are performing stddev on an integer column then it interprets the
* output type to be integer which is incorrect as it should be double. So based on
* this if we add cast after rewriting the aggregate we add an additional cast which
* would cause wrong results. So we simply add a cast to ANY.
*/
return rexBuilder.makeCast(typeFactory.createSqlType(SqlTypeName.ANY), result);
}
}
use of org.apache.calcite.sql.fun.SqlCountAggFunction in project drill by axbaretto.
the class DrillReduceAggregatesRule method reduceAvg.
private RexNode reduceAvg(Aggregate oldAggRel, AggregateCall oldCall, List<AggregateCall> newCalls, Map<AggregateCall, RexNode> aggCallMapping) {
final PlannerSettings plannerSettings = (PlannerSettings) oldAggRel.getCluster().getPlanner().getContext();
final boolean isInferenceEnabled = plannerSettings.isTypeInferenceEnabled();
final int nGroups = oldAggRel.getGroupCount();
RelDataTypeFactory typeFactory = oldAggRel.getCluster().getTypeFactory();
RexBuilder rexBuilder = oldAggRel.getCluster().getRexBuilder();
int iAvgInput = oldCall.getArgList().get(0);
RelDataType avgInputType = getFieldType(oldAggRel.getInput(), iAvgInput);
RelDataType sumType = TypeInferenceUtils.getDrillSqlReturnTypeInference(SqlKind.SUM.name(), ImmutableList.<DrillFuncHolder>of()).inferReturnType(oldCall.createBinding(oldAggRel));
sumType = typeFactory.createTypeWithNullability(sumType, sumType.isNullable() || nGroups == 0);
SqlAggFunction sumAgg = new DrillCalciteSqlAggFunctionWrapper(new SqlSumEmptyIsZeroAggFunction(), sumType);
AggregateCall sumCall = AggregateCall.create(sumAgg, oldCall.isDistinct(), oldCall.isApproximate(), oldCall.getArgList(), -1, sumType, null);
final SqlCountAggFunction countAgg = (SqlCountAggFunction) SqlStdOperatorTable.COUNT;
final RelDataType countType = countAgg.getReturnType(typeFactory);
AggregateCall countCall = AggregateCall.create(countAgg, oldCall.isDistinct(), oldCall.isApproximate(), oldCall.getArgList(), -1, countType, null);
RexNode tmpsumRef = rexBuilder.addAggCall(sumCall, nGroups, oldAggRel.indicator, newCalls, aggCallMapping, ImmutableList.of(avgInputType));
RexNode tmpcountRef = rexBuilder.addAggCall(countCall, nGroups, oldAggRel.indicator, newCalls, aggCallMapping, ImmutableList.of(avgInputType));
RexNode n = rexBuilder.makeCall(SqlStdOperatorTable.CASE, rexBuilder.makeCall(SqlStdOperatorTable.EQUALS, tmpcountRef, rexBuilder.makeExactLiteral(BigDecimal.ZERO)), rexBuilder.constantNull(), tmpsumRef);
// NOTE: these references are with respect to the output
// of newAggRel
/*
RexNode numeratorRef =
rexBuilder.makeCall(CastHighOp,
rexBuilder.addAggCall(
sumCall,
nGroups,
newCalls,
aggCallMapping,
ImmutableList.of(avgInputType))
);
*/
RexNode numeratorRef = rexBuilder.makeCall(CastHighOp, n);
RexNode denominatorRef = rexBuilder.addAggCall(countCall, nGroups, oldAggRel.indicator, newCalls, aggCallMapping, ImmutableList.of(avgInputType));
if (isInferenceEnabled) {
return rexBuilder.makeCall(new DrillSqlOperator("divide", 2, true, oldCall.getType(), false), numeratorRef, denominatorRef);
} else {
final RexNode divideRef = rexBuilder.makeCall(SqlStdOperatorTable.DIVIDE, numeratorRef, denominatorRef);
return rexBuilder.makeCast(typeFactory.createSqlType(SqlTypeName.ANY), divideRef);
}
}
use of org.apache.calcite.sql.fun.SqlCountAggFunction in project drill by apache.
the class DrillReduceAggregatesRule method reduceSum.
private RexNode reduceSum(Aggregate oldAggRel, AggregateCall oldCall, List<AggregateCall> newCalls, Map<AggregateCall, RexNode> aggCallMapping) {
final PlannerSettings plannerSettings = (PlannerSettings) oldAggRel.getCluster().getPlanner().getContext();
final boolean isInferenceEnabled = plannerSettings.isTypeInferenceEnabled();
final int nGroups = oldAggRel.getGroupCount();
RelDataTypeFactory typeFactory = oldAggRel.getCluster().getTypeFactory();
RexBuilder rexBuilder = oldAggRel.getCluster().getRexBuilder();
int arg = oldCall.getArgList().get(0);
RelDataType argType = getFieldType(oldAggRel.getInput(), arg);
final RelDataType sumType;
final SqlAggFunction sumZeroAgg;
if (isInferenceEnabled) {
sumType = oldCall.getType();
} else {
sumType = typeFactory.createTypeWithNullability(oldCall.getType(), argType.isNullable());
}
sumZeroAgg = new DrillCalciteSqlAggFunctionWrapper(new SqlSumEmptyIsZeroAggFunction(), sumType);
AggregateCall sumZeroCall = AggregateCall.create(sumZeroAgg, oldCall.isDistinct(), oldCall.isApproximate(), oldCall.getArgList(), -1, sumType, null);
final SqlCountAggFunction countAgg = (SqlCountAggFunction) SqlStdOperatorTable.COUNT;
final RelDataType countType = countAgg.getReturnType(typeFactory);
AggregateCall countCall = AggregateCall.create(countAgg, oldCall.isDistinct(), oldCall.isApproximate(), oldCall.getArgList(), -1, countType, null);
// NOTE: these references are with respect to the output
// of newAggRel
RexNode sumZeroRef = rexBuilder.addAggCall(sumZeroCall, nGroups, newCalls, aggCallMapping, ImmutableList.of(argType));
if (!oldCall.getType().isNullable()) {
// null). Therefore we translate to SUM0(x).
return sumZeroRef;
}
RexNode countRef = rexBuilder.addAggCall(countCall, nGroups, newCalls, aggCallMapping, ImmutableList.of(argType));
return rexBuilder.makeCall(SqlStdOperatorTable.CASE, rexBuilder.makeCall(SqlStdOperatorTable.EQUALS, countRef, rexBuilder.makeExactLiteral(BigDecimal.ZERO)), rexBuilder.constantNull(), sumZeroRef);
}
use of org.apache.calcite.sql.fun.SqlCountAggFunction in project drill by apache.
the class DrillReduceAggregatesRule method reduceStddev.
private RexNode reduceStddev(Aggregate oldAggRel, AggregateCall oldCall, boolean biased, boolean sqrt, List<AggregateCall> newCalls, Map<AggregateCall, RexNode> aggCallMapping, List<RexNode> inputExprs) {
// stddev_pop(x) ==>
// power(
// (sum(x * x) - sum(x) * sum(x) / count(x))
// / count(x),
// .5)
//
// stddev_samp(x) ==>
// power(
// (sum(x * x) - sum(x) * sum(x) / count(x))
// / nullif(count(x) - 1, 0),
// .5)
final PlannerSettings plannerSettings = (PlannerSettings) oldAggRel.getCluster().getPlanner().getContext();
final boolean isInferenceEnabled = plannerSettings.isTypeInferenceEnabled();
final int nGroups = oldAggRel.getGroupCount();
RelDataTypeFactory typeFactory = oldAggRel.getCluster().getTypeFactory();
final RexBuilder rexBuilder = oldAggRel.getCluster().getRexBuilder();
assert oldCall.getArgList().size() == 1 : oldCall.getArgList();
final int argOrdinal = oldCall.getArgList().get(0);
final RelDataType argType = getFieldType(oldAggRel.getInput(), argOrdinal);
// final RexNode argRef = inputExprs.get(argOrdinal);
RexNode argRef = rexBuilder.makeCall(CastHighOp, inputExprs.get(argOrdinal));
inputExprs.set(argOrdinal, argRef);
final RexNode argSquared = rexBuilder.makeCall(SqlStdOperatorTable.MULTIPLY, argRef, argRef);
final int argSquaredOrdinal = lookupOrAdd(inputExprs, argSquared);
RelDataType sumType = TypeInferenceUtils.getDrillSqlReturnTypeInference(SqlKind.SUM.name(), ImmutableList.of()).inferReturnType(oldCall.createBinding(oldAggRel));
sumType = typeFactory.createTypeWithNullability(sumType, true);
final AggregateCall sumArgSquaredAggCall = AggregateCall.create(new DrillCalciteSqlAggFunctionWrapper(new SqlSumAggFunction(sumType), sumType), oldCall.isDistinct(), oldCall.isApproximate(), ImmutableIntList.of(argSquaredOrdinal), -1, sumType, null);
final RexNode sumArgSquared = rexBuilder.addAggCall(sumArgSquaredAggCall, nGroups, newCalls, aggCallMapping, ImmutableList.of(argType));
final AggregateCall sumArgAggCall = AggregateCall.create(new DrillCalciteSqlAggFunctionWrapper(new SqlSumAggFunction(sumType), sumType), oldCall.isDistinct(), oldCall.isApproximate(), ImmutableIntList.of(argOrdinal), -1, sumType, null);
final RexNode sumArg = rexBuilder.addAggCall(sumArgAggCall, nGroups, newCalls, aggCallMapping, ImmutableList.of(argType));
final RexNode sumSquaredArg = rexBuilder.makeCall(SqlStdOperatorTable.MULTIPLY, sumArg, sumArg);
final SqlCountAggFunction countAgg = (SqlCountAggFunction) SqlStdOperatorTable.COUNT;
final RelDataType countType = countAgg.getReturnType(typeFactory);
final AggregateCall countArgAggCall = AggregateCall.create(countAgg, oldCall.isDistinct(), oldCall.isApproximate(), oldCall.getArgList(), -1, countType, null);
final RexNode countArg = rexBuilder.addAggCall(countArgAggCall, nGroups, newCalls, aggCallMapping, ImmutableList.of(argType));
final RexNode avgSumSquaredArg = rexBuilder.makeCall(SqlStdOperatorTable.DIVIDE, sumSquaredArg, countArg);
final RexNode diff = rexBuilder.makeCall(SqlStdOperatorTable.MINUS, sumArgSquared, avgSumSquaredArg);
final RexNode denominator;
if (biased) {
denominator = countArg;
} else {
final RexLiteral one = rexBuilder.makeExactLiteral(BigDecimal.ONE);
final RexNode nul = rexBuilder.makeNullLiteral(countArg.getType());
final RexNode countMinusOne = rexBuilder.makeCall(SqlStdOperatorTable.MINUS, countArg, one);
final RexNode countEqOne = rexBuilder.makeCall(SqlStdOperatorTable.EQUALS, countArg, one);
denominator = rexBuilder.makeCall(SqlStdOperatorTable.CASE, countEqOne, nul, countMinusOne);
}
final SqlOperator divide;
if (isInferenceEnabled) {
divide = new DrillSqlOperator("divide", 2, true, oldCall.getType(), false);
} else {
divide = SqlStdOperatorTable.DIVIDE;
}
final RexNode div = rexBuilder.makeCall(divide, diff, denominator);
RexNode result = div;
if (sqrt) {
final RexNode half = rexBuilder.makeExactLiteral(new BigDecimal("0.5"));
result = rexBuilder.makeCall(SqlStdOperatorTable.POWER, div, half);
}
if (isInferenceEnabled) {
return result;
} else {
/*
* Currently calcite's strategy to infer the return type of aggregate functions
* is wrong because it uses the first known argument to determine output type. For
* instance if we are performing stddev on an integer column then it interprets the
* output type to be integer which is incorrect as it should be double. So based on
* this if we add cast after rewriting the aggregate we add an additional cast which
* would cause wrong results. So we simply add a cast to ANY.
*/
return rexBuilder.makeCast(typeFactory.createSqlType(SqlTypeName.ANY), result);
}
}
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