Examples with Pair org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.util.Pair used on opensource projects

Example 11 with Pair

use of org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.util.Pair in project calcite by apache.

the class RelMdCollation method values.

/**
 * Helper method to determine a
 * {@link org.apache.calcite.rel.core.Values}'s collation.
 *
 * <p>We actually under-report the collations. A Values with 0 or 1 rows - an
 * edge case, but legitimate and very common - is ordered by every permutation
 * of every subset of the columns.
 *
 * <p>So, our algorithm aims to:<ul>
 *   <li>produce at most N collations (where N is the number of columns);
 *   <li>make each collation as long as possible;
 *   <li>do not repeat combinations already emitted -
 *       if we've emitted {@code (a, b)} do not later emit {@code (b, a)};
 *   <li>probe the actual values and make sure that each collation is
 *      consistent with the data
 * </ul>
 *
 * <p>So, for an empty Values with 4 columns, we would emit
 * {@code (a, b, c, d), (b, c, d), (c, d), (d)}.
 */
public static List<RelCollation> values(RelMetadataQuery mq, RelDataType rowType, ImmutableList<ImmutableList<RexLiteral>> tuples) {
    // for future use
    Util.discard(mq);
    final List<RelCollation> list = Lists.newArrayList();
    final int n = rowType.getFieldCount();
    final List<Pair<RelFieldCollation, Ordering<List<RexLiteral>>>> pairs = Lists.newArrayList();
    outer: for (int i = 0; i < n; i++) {
        pairs.clear();
        for (int j = i; j < n; j++) {
            final RelFieldCollation fieldCollation = new RelFieldCollation(j);
            Ordering<List<RexLiteral>> comparator = comparator(fieldCollation);
            Ordering<List<RexLiteral>> ordering;
            if (pairs.isEmpty()) {
                ordering = comparator;
            } else {
                ordering = Util.last(pairs).right.compound(comparator);
            }
            pairs.add(Pair.of(fieldCollation, ordering));
            if (!ordering.isOrdered(tuples)) {
                if (j == i) {
                    continue outer;
                }
                pairs.remove(pairs.size() - 1);
            }
        }
        if (!pairs.isEmpty()) {
            list.add(RelCollations.of(Pair.left(pairs)));
        }
    }
    return list;
}

Example 12 with Pair

use of org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.util.Pair in project calcite by apache.

the class Schemas method path.

/**
 * Creates a path with a given list of names starting from a given root
 * schema.
 */
public static Path path(CalciteSchema rootSchema, Iterable<String> names) {
    final ImmutableList.Builder<Pair<String, Schema>> builder = ImmutableList.builder();
    Schema schema = rootSchema.plus();
    final Iterator<String> iterator = names.iterator();
    if (!iterator.hasNext()) {
        return PathImpl.EMPTY;
    }
    if (!rootSchema.name.isEmpty()) {
        assert rootSchema.name.equals(iterator.next());
    }
    for (; ; ) {
        final String name = iterator.next();
        builder.add(Pair.of(name, schema));
        if (!iterator.hasNext()) {
            return path(builder.build());
        }
        schema = schema.getSubSchema(name);
    }
}

Example 13 with Pair

use of org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.util.Pair in project calcite by apache.

the class JdbcTest method querify.

/**
 * Returns a list of (query, expected) pairs. The expected result is
 * sometimes null.
 */
private static List<Pair<String, String>> querify(String[] queries1) {
    final List<Pair<String, String>> list = new ArrayList<>();
    for (int i = 0; i < queries1.length; i++) {
        String query = queries1[i];
        String expected = null;
        if (i + 1 < queries1.length && queries1[i + 1] != null && !queries1[i + 1].startsWith("select")) {
            expected = queries1[++i];
        }
        list.add(Pair.of(query, expected));
    }
    return list;
}

Example 14 with Pair

use of org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.util.Pair in project calcite by apache.

the class AbstractMaterializedViewRule method perform.

/**
 * Rewriting logic is based on "Optimizing Queries Using Materialized Views:
 * A Practical, Scalable Solution" by Goldstein and Larson.
 *
 * <p>On the query side, rules matches a Project-node chain or node, where node
 * is either an Aggregate or a Join. Subplan rooted at the node operator must
 * be composed of one or more of the following operators: TableScan, Project,
 * Filter, and Join.
 *
 * <p>For each join MV, we need to check the following:
 * <ol>
 * <li> The plan rooted at the Join operator in the view produces all rows
 * needed by the plan rooted at the Join operator in the query.</li>
 * <li> All columns required by compensating predicates, i.e., predicates that
 * need to be enforced over the view, are available at the view output.</li>
 * <li> All output expressions can be computed from the output of the view.</li>
 * <li> All output rows occur with the correct duplication factor. We might
 * rely on existing Unique-Key - Foreign-Key relationships to extract that
 * information.</li>
 * </ol>
 *
 * <p>In turn, for each aggregate MV, we need to check the following:
 * <ol>
 * <li> The plan rooted at the Aggregate operator in the view produces all rows
 * needed by the plan rooted at the Aggregate operator in the query.</li>
 * <li> All columns required by compensating predicates, i.e., predicates that
 * need to be enforced over the view, are available at the view output.</li>
 * <li> The grouping columns in the query are a subset of the grouping columns
 * in the view.</li>
 * <li> All columns required to perform further grouping are available in the
 * view output.</li>
 * <li> All columns required to compute output expressions are available in the
 * view output.</li>
 * </ol>
 *
 * <p>The rule contains multiple extensions compared to the original paper. One of
 * them is the possibility of creating rewritings using Union operators, e.g., if
 * the result of a query is partially contained in the materialized view.
 */
protected void perform(RelOptRuleCall call, Project topProject, RelNode node) {
    final RexBuilder rexBuilder = node.getCluster().getRexBuilder();
    final RelMetadataQuery mq = RelMetadataQuery.instance();
    final RelOptPlanner planner = call.getPlanner();
    final RexExecutor executor = Util.first(planner.getExecutor(), RexUtil.EXECUTOR);
    final RelOptPredicateList predicates = RelOptPredicateList.EMPTY;
    final RexSimplify simplify = new RexSimplify(rexBuilder, predicates, true, executor);
    final List<RelOptMaterialization> materializations = (planner instanceof VolcanoPlanner) ? ((VolcanoPlanner) planner).getMaterializations() : ImmutableList.<RelOptMaterialization>of();
    if (!materializations.isEmpty()) {
        // try to generate a rewriting are met
        if (!isValidPlan(topProject, node, mq)) {
            return;
        }
        // Obtain applicable (filtered) materializations
        // TODO: Filtering of relevant materializations needs to be
        // improved so we gather only materializations that might
        // actually generate a valid rewriting.
        final List<RelOptMaterialization> applicableMaterializations = RelOptMaterializations.getApplicableMaterializations(node, materializations);
        if (!applicableMaterializations.isEmpty()) {
            // 2. Initialize all query related auxiliary data structures
            // that will be used throughout query rewriting process
            // Generate query table references
            final Set<RelTableRef> queryTableRefs = mq.getTableReferences(node);
            if (queryTableRefs == null) {
                // Bail out
                return;
            }
            // Extract query predicates
            final RelOptPredicateList queryPredicateList = mq.getAllPredicates(node);
            if (queryPredicateList == null) {
                // Bail out
                return;
            }
            final RexNode pred = simplify.simplify(RexUtil.composeConjunction(rexBuilder, queryPredicateList.pulledUpPredicates, false));
            final Triple<RexNode, RexNode, RexNode> queryPreds = splitPredicates(rexBuilder, pred);
            // Extract query equivalence classes. An equivalence class is a set
            // of columns in the query output that are known to be equal.
            final EquivalenceClasses qEC = new EquivalenceClasses();
            for (RexNode conj : RelOptUtil.conjunctions(queryPreds.getLeft())) {
                assert conj.isA(SqlKind.EQUALS);
                RexCall equiCond = (RexCall) conj;
                qEC.addEquivalenceClass((RexTableInputRef) equiCond.getOperands().get(0), (RexTableInputRef) equiCond.getOperands().get(1));
            }
            // rewrite the given query
            for (RelOptMaterialization materialization : applicableMaterializations) {
                RelNode view = materialization.tableRel;
                Project topViewProject;
                RelNode viewNode;
                if (materialization.queryRel instanceof Project) {
                    topViewProject = (Project) materialization.queryRel;
                    viewNode = topViewProject.getInput();
                } else {
                    topViewProject = null;
                    viewNode = materialization.queryRel;
                }
                // 3.1. View checks before proceeding
                if (!isValidPlan(topViewProject, viewNode, mq)) {
                    // Skip it
                    continue;
                }
                // 3.2. Initialize all query related auxiliary data structures
                // that will be used throughout query rewriting process
                // Extract view predicates
                final RelOptPredicateList viewPredicateList = mq.getAllPredicates(viewNode);
                if (viewPredicateList == null) {
                    // Skip it
                    continue;
                }
                final RexNode viewPred = simplify.simplify(RexUtil.composeConjunction(rexBuilder, viewPredicateList.pulledUpPredicates, false));
                final Triple<RexNode, RexNode, RexNode> viewPreds = splitPredicates(rexBuilder, viewPred);
                // Extract view table references
                final Set<RelTableRef> viewTableRefs = mq.getTableReferences(viewNode);
                if (viewTableRefs == null) {
                    // Bail out
                    return;
                }
                // Extract view tables
                MatchModality matchModality;
                Multimap<RexTableInputRef, RexTableInputRef> compensationEquiColumns = ArrayListMultimap.create();
                if (!queryTableRefs.equals(viewTableRefs)) {
                    // subset of query tables (add additional tables through joins if possible)
                    if (viewTableRefs.containsAll(queryTableRefs)) {
                        matchModality = MatchModality.QUERY_PARTIAL;
                        final EquivalenceClasses vEC = new EquivalenceClasses();
                        for (RexNode conj : RelOptUtil.conjunctions(viewPreds.getLeft())) {
                            assert conj.isA(SqlKind.EQUALS);
                            RexCall equiCond = (RexCall) conj;
                            vEC.addEquivalenceClass((RexTableInputRef) equiCond.getOperands().get(0), (RexTableInputRef) equiCond.getOperands().get(1));
                        }
                        if (!compensatePartial(viewTableRefs, vEC, queryTableRefs, compensationEquiColumns)) {
                            // Cannot rewrite, skip it
                            continue;
                        }
                    } else if (queryTableRefs.containsAll(viewTableRefs)) {
                        matchModality = MatchModality.VIEW_PARTIAL;
                        ViewPartialRewriting partialRewritingResult = compensateViewPartial(call.builder(), rexBuilder, mq, view, topProject, node, queryTableRefs, qEC, topViewProject, viewNode, viewTableRefs);
                        if (partialRewritingResult == null) {
                            // Cannot rewrite, skip it
                            continue;
                        }
                        // Rewrite succeeded
                        view = partialRewritingResult.newView;
                        topViewProject = partialRewritingResult.newTopViewProject;
                        viewNode = partialRewritingResult.newViewNode;
                    } else {
                        // Skip it
                        continue;
                    }
                } else {
                    matchModality = MatchModality.COMPLETE;
                }
                // 4. We map every table in the query to a table with the same qualified
                // name (all query tables are contained in the view, thus this is equivalent
                // to mapping every table in the query to a view table).
                final Multimap<RelTableRef, RelTableRef> multiMapTables = ArrayListMultimap.create();
                for (RelTableRef queryTableRef1 : queryTableRefs) {
                    for (RelTableRef queryTableRef2 : queryTableRefs) {
                        if (queryTableRef1.getQualifiedName().equals(queryTableRef2.getQualifiedName())) {
                            multiMapTables.put(queryTableRef1, queryTableRef2);
                        }
                    }
                }
                // If a table is used multiple times, we will create multiple mappings,
                // and we will try to rewrite the query using each of the mappings.
                // Then, we will try to map every source table (query) to a target
                // table (view), and if we are successful, we will try to create
                // compensation predicates to filter the view results further
                // (if needed).
                final List<BiMap<RelTableRef, RelTableRef>> flatListMappings = generateTableMappings(multiMapTables);
                for (BiMap<RelTableRef, RelTableRef> queryToViewTableMapping : flatListMappings) {
                    // TableMapping : mapping query tables -> view tables
                    // 4.0. If compensation equivalence classes exist, we need to add
                    // the mapping to the query mapping
                    final EquivalenceClasses currQEC = EquivalenceClasses.copy(qEC);
                    if (matchModality == MatchModality.QUERY_PARTIAL) {
                        for (Entry<RexTableInputRef, RexTableInputRef> e : compensationEquiColumns.entries()) {
                            // Copy origin
                            RelTableRef queryTableRef = queryToViewTableMapping.inverse().get(e.getKey().getTableRef());
                            RexTableInputRef queryColumnRef = RexTableInputRef.of(queryTableRef, e.getKey().getIndex(), e.getKey().getType());
                            // Add to query equivalence classes and table mapping
                            currQEC.addEquivalenceClass(queryColumnRef, e.getValue());
                            queryToViewTableMapping.put(e.getValue().getTableRef(), // identity
                            e.getValue().getTableRef());
                        }
                    }
                    // 4.1. Compute compensation predicates, i.e., predicates that need to be
                    // enforced over the view to retain query semantics. The resulting predicates
                    // are expressed using {@link RexTableInputRef} over the query.
                    // First, to establish relationship, we swap column references of the view
                    // predicates to point to query tables and compute equivalence classes.
                    final RexNode viewColumnsEquiPred = RexUtil.swapTableReferences(rexBuilder, viewPreds.getLeft(), queryToViewTableMapping.inverse());
                    final EquivalenceClasses queryBasedVEC = new EquivalenceClasses();
                    for (RexNode conj : RelOptUtil.conjunctions(viewColumnsEquiPred)) {
                        assert conj.isA(SqlKind.EQUALS);
                        RexCall equiCond = (RexCall) conj;
                        queryBasedVEC.addEquivalenceClass((RexTableInputRef) equiCond.getOperands().get(0), (RexTableInputRef) equiCond.getOperands().get(1));
                    }
                    Triple<RexNode, RexNode, RexNode> compensationPreds = computeCompensationPredicates(rexBuilder, simplify, currQEC, queryPreds, queryBasedVEC, viewPreds, queryToViewTableMapping);
                    if (compensationPreds == null && generateUnionRewriting) {
                        // Attempt partial rewriting using union operator. This rewriting
                        // will read some data from the view and the rest of the data from
                        // the query computation. The resulting predicates are expressed
                        // using {@link RexTableInputRef} over the view.
                        compensationPreds = computeCompensationPredicates(rexBuilder, simplify, queryBasedVEC, viewPreds, currQEC, queryPreds, queryToViewTableMapping.inverse());
                        if (compensationPreds == null) {
                            // This was our last chance to use the view, skip it
                            continue;
                        }
                        RexNode compensationColumnsEquiPred = compensationPreds.getLeft();
                        RexNode otherCompensationPred = RexUtil.composeConjunction(rexBuilder, ImmutableList.of(compensationPreds.getMiddle(), compensationPreds.getRight()), false);
                        assert !compensationColumnsEquiPred.isAlwaysTrue() || !otherCompensationPred.isAlwaysTrue();
                        // b. Generate union branch (query).
                        final RelNode unionInputQuery = rewriteQuery(call.builder(), rexBuilder, simplify, mq, compensationColumnsEquiPred, otherCompensationPred, topProject, node, queryToViewTableMapping, queryBasedVEC, currQEC);
                        if (unionInputQuery == null) {
                            // Skip it
                            continue;
                        }
                        // c. Generate union branch (view).
                        // We trigger the unifying method. This method will either create a Project
                        // or an Aggregate operator on top of the view. It will also compute the
                        // output expressions for the query.
                        final RelNode unionInputView = rewriteView(call.builder(), rexBuilder, simplify, mq, matchModality, true, view, topProject, node, topViewProject, viewNode, queryToViewTableMapping, currQEC);
                        if (unionInputView == null) {
                            // Skip it
                            continue;
                        }
                        // d. Generate final rewriting (union).
                        final RelNode result = createUnion(call.builder(), rexBuilder, topProject, unionInputQuery, unionInputView);
                        if (result == null) {
                            // Skip it
                            continue;
                        }
                        call.transformTo(result);
                    } else if (compensationPreds != null) {
                        RexNode compensationColumnsEquiPred = compensationPreds.getLeft();
                        RexNode otherCompensationPred = RexUtil.composeConjunction(rexBuilder, ImmutableList.of(compensationPreds.getMiddle(), compensationPreds.getRight()), false);
                        // a. Compute final compensation predicate.
                        if (!compensationColumnsEquiPred.isAlwaysTrue() || !otherCompensationPred.isAlwaysTrue()) {
                            // All columns required by compensating predicates must be contained
                            // in the view output (condition 2).
                            List<RexNode> viewExprs = topViewProject == null ? extractReferences(rexBuilder, view) : topViewProject.getChildExps();
                            // since we want to enforce the rest
                            if (!compensationColumnsEquiPred.isAlwaysTrue()) {
                                compensationColumnsEquiPred = rewriteExpression(rexBuilder, mq, view, viewNode, viewExprs, queryToViewTableMapping.inverse(), queryBasedVEC, false, compensationColumnsEquiPred);
                                if (compensationColumnsEquiPred == null) {
                                    // Skip it
                                    continue;
                                }
                            }
                            // For the rest, we use the query equivalence classes
                            if (!otherCompensationPred.isAlwaysTrue()) {
                                otherCompensationPred = rewriteExpression(rexBuilder, mq, view, viewNode, viewExprs, queryToViewTableMapping.inverse(), currQEC, true, otherCompensationPred);
                                if (otherCompensationPred == null) {
                                    // Skip it
                                    continue;
                                }
                            }
                        }
                        final RexNode viewCompensationPred = RexUtil.composeConjunction(rexBuilder, ImmutableList.of(compensationColumnsEquiPred, otherCompensationPred), false);
                        // b. Generate final rewriting if possible.
                        // First, we add the compensation predicate (if any) on top of the view.
                        // Then, we trigger the unifying method. This method will either create a
                        // Project or an Aggregate operator on top of the view. It will also compute
                        // the output expressions for the query.
                        RelBuilder builder = call.builder();
                        RelNode viewWithFilter;
                        if (!viewCompensationPred.isAlwaysTrue()) {
                            RexNode newPred = simplify.simplify(viewCompensationPred);
                            viewWithFilter = builder.push(view).filter(newPred).build();
                            // We add (and push) the filter to the view plan before triggering the rewriting.
                            // This is useful in case some of the columns can be folded to same value after
                            // filter is added.
                            Pair<RelNode, RelNode> pushedNodes = pushFilterToOriginalViewPlan(builder, topViewProject, viewNode, newPred);
                            topViewProject = (Project) pushedNodes.left;
                            viewNode = pushedNodes.right;
                        } else {
                            viewWithFilter = builder.push(view).build();
                        }
                        final RelNode result = rewriteView(builder, rexBuilder, simplify, mq, matchModality, false, viewWithFilter, topProject, node, topViewProject, viewNode, queryToViewTableMapping, currQEC);
                        if (result == null) {
                            // Skip it
                            continue;
                        }
                        call.transformTo(result);
                    }
                // end else
                }
            }
        }
    }
}

Example 15 with Pair

use of org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.util.Pair in project calcite by apache.

the class AggregateExpandDistinctAggregatesRule 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.
    // find all aggregate calls without distinct
    int nonDistinctAggCallCount = 0;
    int filterCount = 0;
    int unsupportedNonDistinctAggCallCount = 0;
    final Set<Pair<List<Integer>, Integer>> argLists = new LinkedHashSet<>();
    for (AggregateCall aggCall : aggregate.getAggCallList()) {
        if (aggCall.filterArg >= 0) {
            ++filterCount;
        }
        if (!aggCall.isDistinct()) {
            ++nonDistinctAggCallCount;
            final SqlKind aggCallKind = aggCall.getAggregation().getKind();
            // We only support COUNT/SUM/MIN/MAX for the "single" count distinct optimization
            switch(aggCallKind) {
                case COUNT:
                case SUM:
                case SUM0:
                case MIN:
                case MAX:
                    break;
                default:
                    ++unsupportedNonDistinctAggCallCount;
            }
        } else {
            argLists.add(Pair.of(aggCall.getArgList(), aggCall.filterArg));
        }
    }
    final int distinctAggCallCount = aggregate.getAggCallList().size() - nonDistinctAggCallCount;
    Preconditions.checkState(argLists.size() > 0, "containsDistinctCall lied");
    // arguments then we can use a more efficient form.
    if (nonDistinctAggCallCount == 0 && argLists.size() == 1 && aggregate.getGroupType() == Group.SIMPLE) {
        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);
        return;
    }
    // we can generate multi-phase aggregates
    if (// one distinct aggregate
    distinctAggCallCount == 1 && // no filter
    filterCount == 0 && // sum/min/max/count in non-distinct aggregate
    unsupportedNonDistinctAggCallCount == 0 && nonDistinctAggCallCount > 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.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());
}