Package com.foundationdb.qp.operator

Examples of com.foundationdb.qp.operator.TimeOperator$Execution


        IndexKeyRange leftKeyRange = IndexKeyRange.bounded(indexRowType, leftBound, true, leftBound, true);
        IndexBound rightBound = new IndexBound(row(indexRowType, rightIndexKey), new SetColumnSelector(0));
        IndexKeyRange rightKeyRange = IndexKeyRange.bounded(indexRowType, rightBound, true, rightBound, true);
        Operator leftSetup = indexScan_Default(indexRowType, leftKeyRange, ordering);
        Operator rightSetup = indexScan_Default(indexRowType, rightKeyRange, ordering);
        TimeOperator timeLeftSetup = new TimeOperator(leftSetup);
        TimeOperator timeRightSetup = new TimeOperator(rightSetup);
        Operator intersect =
            intersect_Ordered(
                    timeLeftSetup,
                    timeRightSetup,
                    indexRowType,
                    indexRowType,
                    5,
                    5,
                    5,
                    JoinType.INNER_JOIN,
                    IntersectOption.OUTPUT_LEFT,
                    null);
        long start = System.nanoTime();
        for (int r = 0; r < runs; r++) {
            Cursor cursor = cursor(intersect, queryContext, queryBindings);
            cursor.openTopLevel();
            while (cursor.next() != null);
        }
        long stop = System.nanoTime();
        long intersectNsec = stop - start - timeLeftSetup.elapsedNsec() - timeRightSetup.elapsedNsec();
        if (label != null) {
            // Report the difference
            double averageUsecPerRow = intersectNsec / (1000.0 * runs * 2 * ROWS);
            System.out.println(String.format("%s: %s usec/row",
                                             label, averageUsecPerRow));
View Full Code Here


                    InputPreservationOption.KEEP_INPUT,
                    0),
                rootRowType,
                manyRowType,
                JoinType.INNER_JOIN);
        TimeOperator timedOuter = new TimeOperator(outerPlan);
        TimeOperator timedInner = new TimeOperator(innerPlan);
        Operator plan =
            product_NestedLoops(
                timedOuter,
                timedInner,
                outerPlan.rowType(),
                rootRowType,
                innerPlan.rowType(),
                0);
        long start = System.nanoTime();
        for (int r = 0; r < runs; r++) {
            Cursor cursor = cursor(plan, queryContext, queryBindings);
            cursor.openTopLevel();
            while (cursor.next() != null);
        }
        long stop = System.nanoTime();
        long productNsec = stop - start - timedOuter.elapsedNsec() - timedInner.elapsedNsec();
        if (report) {
            // Report the difference
            double averageUsecPerRow = productNsec / (1000.0 * runs * (childCount + 1));
            System.out.println(String.format("one->many childCount = %s: %s usec/row",
                                             childCount, averageUsecPerRow));
View Full Code Here

                    InputPreservationOption.KEEP_INPUT,
                    0),
                rootRowType,
                oneRowType,
                JoinType.INNER_JOIN);
        TimeOperator timedOuter = new TimeOperator(outerPlan);
        TimeOperator timedInner = new TimeOperator(innerPlan);
        Operator plan =
            product_NestedLoops(
                timedOuter,
                timedInner,
                outerPlan.rowType(),
                rootRowType,
                innerPlan.rowType(),
                0);
        long start = System.nanoTime();
        for (int r = 0; r < runs; r++) {
            Cursor cursor = cursor(plan, queryContext, queryBindings);
            cursor.openTopLevel();
            while (cursor.next() != null);
        }
        long stop = System.nanoTime();
        long productNsec = stop - start - timedOuter.elapsedNsec() - timedInner.elapsedNsec();
        if (report) {
            // Report the difference
            double averageUsecPerRow = productNsec / (1000.0 * runs * (childCount + 1));
            System.out.println(String.format("many->one childCount = %s: %s usec/row",
                                             childCount, averageUsecPerRow));
View Full Code Here

    }

    private void run(int runs, boolean report)
    {
        Operator scan = groupScan_Default(group);
        TimeOperator timeScan = new TimeOperator(scan);
        Operator select = select_HKeyOrdered(timeScan, tRowType, ExpressionGenerators.literal(Boolean.TRUE));
        long start = System.nanoTime();
        for (int r = 0; r < runs; r++) {
            Cursor cursor = cursor(select, queryContext, queryBindings);
            cursor.openTopLevel();
            while (cursor.next() != null);
        }
        long stop = System.nanoTime();
        long selectNsec = stop - start - timeScan.elapsedNsec();
        if (report) {
            // Report the difference
            double averageUsecPerRow = selectNsec / (1000.0 * runs * ROWS);
            System.out.println(String.format("%s usec/row", averageUsecPerRow));
        }
View Full Code Here

                indexScan_Default(parentPKIndexType, false, pidRange),
                group,
                parentPKIndexType,
                parentRowType,
                InputPreservationOption.DISCARD_INPUT);
        TimeOperator timeSetup = new TimeOperator(setup);
        Operator plan =
            flatten_HKeyOrdered(
                timeSetup,
                parentRowType,
                childRowType,
                joinType);
        long start = System.nanoTime();
        for (int r = 0; r < runs; r++) {
            Cursor cursor = cursor(plan, queryContext, queryBindings);
            cursor.openTopLevel();
            while (cursor.next() != null);
        }
        long stop = System.nanoTime();
        long flattenNsec = stop - start - timeSetup.elapsedNsec();
        if (report) {
            // Report the difference
            double averageUsecPerRow = flattenNsec / (1000.0 * runs * (childCount + 1));
            System.out.println(String.format("%s childCount = %s: %s usec/row",
                                             joinType, childCount, averageUsecPerRow));
View Full Code Here

        Operator filterInput =
            project_DefaultTest(
                groupScan_Default(group(f)),
                fRowType,
                Arrays.asList(ExpressionGenerators.field(fRowType, 0)));
        timeFilterInput = new TimeOperator(filterInput);
        // For the  index scan retrieving rows from the F(x) index given a D index row
        IndexBound fxBound = new IndexBound(
            new RowBasedUnboundExpressions(
                filterInput.rowType(),
                Arrays.asList(ExpressionGenerators.boundField(dIndexRowType, 0, 0)), true),
View Full Code Here

        Operator filterInput =
            project_DefaultTest(
                groupScan_Default(group(f)),
                fRowType,
                Arrays.asList(ExpressionGenerators.field(fRowType, 0)));
        timeFilterInput = new TimeOperator(filterInput);
        // For the index scan retriving rows from the D(x) index
        IndexBound dxLo =
            new IndexBound(row(dIndexRowType, start), new SetColumnSelector(0));
        IndexBound dxHi =
            new IndexBound(row(dIndexRowType, Integer.MAX_VALUE), new SetColumnSelector(0));
        IndexKeyRange dKeyRange =
            IndexKeyRange.bounded(dIndexRowType, dxLo, true, dxHi, false);
        // For the  index scan retrieving rows from the F(x) index given a D index row
        IndexBound fxBound = new IndexBound(
            new RowBasedUnboundExpressions(
                filterInput.rowType(),
                Arrays.asList(ExpressionGenerators.boundField(dIndexRowType, 0, 0)), true),
            new SetColumnSelector(0));
        IndexKeyRange fKeyRange = IndexKeyRange.bounded(fIndexRowType, fxBound, true, fxBound, true);
        // Use a bloom filter loaded by filterInput. Then for each input row, check the filter (projecting
        // D rows on (x)), and, for positives, check F using an index scan keyed by D.x.
        Operator scanInput = indexScan_Default(dIndexRowType, dKeyRange, new Ordering());
        timeScanInput = new TimeOperator(scanInput);
        Operator plan =
            using_BloomFilter(
                // filterInput
                timeFilterInput,
                // filterRowType
View Full Code Here

                      int runs,
                      int rows,
                      boolean report)
    {
        Operator setup = limit_Default(groupScan_Default(group), rows);
        TimeOperator timeSetup = new TimeOperator(setup);
        Ordering ordering = ordering();
        for (int f = 0; f < sortFields; f++) {
            ordering.append(ExpressionGenerators.field(tRowType, f), true);
        }
        Operator sort = sort_InsertionLimited(timeSetup, tRowType, ordering, SortOption.PRESERVE_DUPLICATES, rows);
        long start = System.nanoTime();
        for (int r = 0; r < runs; r++) {
            Cursor cursor = cursor(sort, queryContext, queryBindings);
            cursor.openTopLevel();
            while (cursor.next() != null);
        }
        long stop = System.nanoTime();
        long sortNsec = stop - start - timeSetup.elapsedNsec();
        if (report) {
            // Report the difference
            double averageUsecPerRow = sortNsec / (1000.0 * runs * rows);
            System.out.println(String.format("sort fields: %s, rows: %s: %s usec/row",
                                             sortFields,
View Full Code Here

    }

    private void run(int runs, boolean report)
    {
        Operator scan = groupScan_Default(group);
        TimeOperator timeScan = new TimeOperator(scan);
        Operator project = project_DefaultTest(timeScan, tRowType, Arrays.asList(ExpressionGenerators.literal(true)));
        long start = System.nanoTime();
        for (int r = 0; r < runs; r++) {
            Cursor cursor = cursor(project, queryContext, queryBindings);
            cursor.openTopLevel();
            while (cursor.next() != null);
        }
        long stop = System.nanoTime();
        long projectNsec = stop - start - timeScan.elapsedNsec();
        if (report) {
            // Report the difference
            double averageUsecPerRow = projectNsec / (1000.0 * runs * ROWS);
            System.out.println(String.format("%s usec/row", averageUsecPerRow));
        }
View Full Code Here

    }
   
    private void run(int runs, int innerRows, boolean report)
    {
        Operator setupOuter = groupScan_Default(group);
        TimeOperator timeSetupOuter = new TimeOperator(setupOuter);
        Operator setupInner = limit_Default(groupScan_Default(group), innerRows);
        TimeOperator timeSetupInner = new TimeOperator(setupInner);
        Operator plan = map_NestedLoops(timeSetupOuter, timeSetupInner,
                                        0, pipelineMap(), 1);
        long start = System.nanoTime();
        for (int r = 0; r < runs; r++) {
            Cursor cursor = cursor(plan, queryContext, queryBindings);
            cursor.openTopLevel();
            while (cursor.next() != null);
        }
        long stop = System.nanoTime();
        long mapNsec = stop - start - timeSetupInner.elapsedNsec() - timeSetupOuter.elapsedNsec();
        if (report) {
            // Report the difference
            double averageUsecPerRow = mapNsec / (1000.0 * runs * (OUTER_ROWS * (innerRows + 1)));
            System.out.println(String.format("inner/outer = %s: %s usec/row",
                                             innerRows, averageUsecPerRow));
View Full Code Here

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