public void onMatch(RelOptRuleCall call) {
    AggregateRel aggRel = call.rel(0);
    UnionRel unionRel = call.rel(1);

    if (!unionRel.all) {
      // This transformation is only valid for UNION ALL.
      // Consider t1(i) with rows (5), (5) and t2(i) with
      // rows (5), (10), and the query
      // select sum(i) from (select i from t1) union (select i from t2).
      // The correct answer is 15.  If we apply the transformation,
      // we get
      // select sum(i) from
      // (select sum(i) as i from t1) union (select sum(i) as i from t2)
      // which yields 25 (incorrect).
      return;
    }

    RelOptCluster cluster = unionRel.getCluster();

    List<AggregateCall> transformedAggCalls =
        transformAggCalls(
            aggRel.getCluster().getTypeFactory(),
            aggRel.getGroupSet().cardinality(),
            aggRel.getAggCallList());
    if (transformedAggCalls == null) {
      // we've detected the presence of something like AVG,
      // which we can't handle
      return;
    }

    boolean anyTransformed = false;

    // create corresponding aggs on top of each union child
    List<RelNode> newUnionInputs = new ArrayList<RelNode>();
    for (RelNode input : unionRel.getInputs()) {
      boolean alreadyUnique = RelMdUtil.areColumnsDefinitelyUnique(input, aggRel.getGroupSet());

      if (alreadyUnique) {
        newUnionInputs.add(input);
      } else {
        anyTransformed = true;
        newUnionInputs.add(
            new AggregateRel(cluster, input, aggRel.getGroupSet(), aggRel.getAggCallList()));
      }
    }

    if (!anyTransformed) {
      // none of the children could benefit from the pushdown,
      // so bail out (preventing the infinite loop to which most
      // planners would succumb)
      return;
    }

    // create a new union whose children are the aggs created above
    UnionRel newUnionRel = new UnionRel(cluster, newUnionInputs, true);

    AggregateRel newTopAggRel =
        new AggregateRel(cluster, newUnionRel, aggRel.getGroupSet(), transformedAggCalls);

    // In case we transformed any COUNT (which is always NOT NULL)
    // to SUM (which is always NULLABLE), cast back to keep the
    // planner happy.
    RelNode castRel = RelOptUtil.createCastRel(newTopAggRel, aggRel.getRowType(), false);

    call.transformTo(castRel);
  }
Beispiel #2
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  /** Variant of {@link #trimFields(RelNode, BitSet, Set)} for {@link AggregateRel}. */
  public TrimResult trimFields(
      AggregateRel aggregate, BitSet fieldsUsed, Set<RelDataTypeField> extraFields) {
    // Fields:
    //
    // | sys fields | group fields | agg functions |
    //
    // Two kinds of trimming:
    //
    // 1. If agg rel has system fields but none of these are used, create an
    // agg rel with no system fields.
    //
    // 2. If aggregate functions are not used, remove them.
    //
    // But grouping fields stay, even if they are not used.

    final RelDataType rowType = aggregate.getRowType();

    // Compute which input fields are used.
    BitSet inputFieldsUsed = new BitSet();
    // 1. group fields are always used
    for (int i : Util.toIter(aggregate.getGroupSet())) {
      inputFieldsUsed.set(i);
    }
    // 2. agg functions
    for (AggregateCall aggCall : aggregate.getAggCallList()) {
      for (int i : aggCall.getArgList()) {
        inputFieldsUsed.set(i);
      }
    }

    // Create input with trimmed columns.
    final RelNode input = aggregate.getInput(0);
    final Set<RelDataTypeField> inputExtraFields = Collections.emptySet();
    final TrimResult trimResult = trimChild(aggregate, input, inputFieldsUsed, inputExtraFields);
    final RelNode newInput = trimResult.left;
    final Mapping inputMapping = trimResult.right;

    // If the input is unchanged, and we need to project all columns,
    // there's nothing to do.
    if (input == newInput && fieldsUsed.equals(Util.bitSetBetween(0, rowType.getFieldCount()))) {
      return new TrimResult(aggregate, Mappings.createIdentity(rowType.getFieldCount()));
    }

    // Which agg calls are used by our consumer?
    final int groupCount = aggregate.getGroupSet().cardinality();
    int j = groupCount;
    int usedAggCallCount = 0;
    for (int i = 0; i < aggregate.getAggCallList().size(); i++) {
      if (fieldsUsed.get(j++)) {
        ++usedAggCallCount;
      }
    }

    // Offset due to the number of system fields having changed.
    Mapping mapping =
        Mappings.create(
            MappingType.InverseSurjection, rowType.getFieldCount(), groupCount + usedAggCallCount);

    final BitSet newGroupSet = Mappings.apply(inputMapping, aggregate.getGroupSet());

    // Populate mapping of where to find the fields. System and grouping
    // fields first.
    for (IntPair pair : inputMapping) {
      if (pair.source < groupCount) {
        mapping.set(pair.source, pair.target);
      }
    }

    // Now create new agg calls, and populate mapping for them.
    final List<AggregateCall> newAggCallList = new ArrayList<AggregateCall>();
    j = groupCount;
    for (AggregateCall aggCall : aggregate.getAggCallList()) {
      if (fieldsUsed.get(j)) {
        AggregateCall newAggCall =
            new AggregateCall(
                aggCall.getAggregation(),
                aggCall.isDistinct(),
                Mappings.apply2(inputMapping, aggCall.getArgList()),
                aggCall.getType(),
                aggCall.getName());
        if (newAggCall.equals(aggCall)) {
          newAggCall = aggCall; // immutable -> canonize to save space
        }
        mapping.set(j, groupCount + newAggCallList.size());
        newAggCallList.add(newAggCall);
      }
      ++j;
    }

    RelNode newAggregate =
        new AggregateRel(aggregate.getCluster(), newInput, newGroupSet, newAggCallList);

    assert newAggregate.getClass() == aggregate.getClass();

    return new TrimResult(newAggregate, mapping);
  }