Package com.foundationdb.qp.operator

Examples of com.foundationdb.qp.operator.Cursor

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                                              new SetColumnSelector(0, 1));
        IndexBound upperRight = new IndexBound(row(latLonIndexRowType, latHi, lonHi),
                                               new SetColumnSelector(0, 1));
        IndexKeyRange box = IndexKeyRange.spatial(latLonIndexRowType, lowerLeft, upperRight);
        Operator plan = indexScan_Default(latLonIndexRowType, box, lookaheadQuantum());
        Cursor cursor = API.cursor(plan, queryContext, queryBindings);
        cursor.openTopLevel();
        Row row;
        while ((row = cursor.next()) != null) {
            assertSame(latLonIndexRowType.physicalRowType(), row.rowType());
            long z = getLong(row, 0);
            Integer expectedId = zToId.get(z);
            assertNotNull(expectedId);
            int id = getLong(row, 1).intValue();
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                MNumeric.INT.instance(false),
                MNumeric.INT.instance(true),
                MString.VARCHAR.instance(100, true));
       
        Operator plan = map_NestedLoops(flattenCO, product, 0, pipelineMap(), 1);
        Cursor cursor = cursor(plan, queryContext, queryBindings);
        Row[] expected = new Row[]{
            row(coaRowType, 2L, "foundation", 200L, 2L, "david", 2000L, 2L, "222 2000 st"),
            row(coaRowType, 2L, "foundation", 201L, 2L, "david", 2000L, 2L, "222 2000 st"),
            row(coaRowType, 3L, "matrix", 300L, 3L, "tom", 3000L, 3L, "333 3000 st"),
            row(coaRowType, 3L, "matrix", 300L, 3L, "tom", 3001L, 3L, "333 3001 st"),
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                MNumeric.INT.instance(false),
                MNumeric.INT.instance(true),
                MString.VARCHAR.instance(100, true));
       
        Operator plan = map_NestedLoops(flattenCO, product, 0, pipelineMap(), 1);
        Cursor cursor = cursor(plan, queryContext, queryBindings);
        Row[] expected = new Row[]{
            row(coaRowType, 2L, "foundation", 200L, 2L, "david", 2000L, 2L, "222 2000 st"),
            row(coaRowType, 2L, "foundation", 201L, 2L, "david", 2000L, 2L, "222 2000 st"),
            row(coaRowType, 1L, "northbridge", 100L, 1L, "ori", 1000L, 1L, "111 1000 st"),
            row(coaRowType, 1L, "northbridge", 100L, 1L, "ori", 1001L, 1L, "111 1001 st"),
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        if (resultSetMetaData != null)
            // If there are results, we need to read them all now to get the update
            // count right and have this all happen even if the caller
            // does not read all of the generated keys.
            returningRows = new SpoolCursor();
        Cursor cursor = null;
        RuntimeException runtimeException = null;
        try {
            context.initStore(getSchema());
            cursor = API.cursor(resultOperator, context, bindings);
            cursor.openTopLevel();
            Row row;
            while ((row = cursor.next()) != null) {
                updateCount++;
                if (returningRows != null) {
                    returningRows.add(row);
                }
            }
        }
        catch (RuntimeException ex) {
            runtimeException = ex;
        }
        finally {
            try {
                if (cursor != null) {
                    cursor.closeTopLevel();
                }
            }
            catch (RuntimeException ex) {
                if (runtimeException == null)
                    runtimeException = ex;
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                               int bHi, boolean hiInclusive,   // upper bound
                               API.Ordering ordering,         
                               long expected[])
    {
        Operator plan = indexScan_Default(idxRowType, bounded(1, bLo, lowInclusive, bHi, hiInclusive), ordering);
        Cursor cursor = cursor(plan, queryContext, queryBindings);
        cursor.openTopLevel();
        cursor.jump(indexRow(targetId), INDEX_ROW_SELECTOR);

        Row row;
        List<Row> actualRows = new ArrayList<>();
       
        while ((row = cursor.next()) != null)
        {
            actualRows.add(row);
        }
        cursor.closeTopLevel();

             // check the list of rows
        checkRows(actualRows, expected);
    }
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                       IndexKeyRange range,
                       API.Ordering ordering,         
                       long expected[])
    {
        Operator plan = indexScan_Default(idxRowType, range, ordering);
        Cursor cursor = cursor(plan, queryContext, queryBindings);
        cursor.openTopLevel();

        cursor.jump(indexRowWithId(targetId), INDEX_ROW_SELECTOR);

        Row row;
        List<Row> actualRows = new ArrayList<>();
       
        while ((row = cursor.next()) != null)
        {
            actualRows.add(row);
        }
        cursor.closeTopLevel();

        // find the row with given id
        List<Row> expectedRows = new ArrayList<>(expected.length);
        for (long val : expected)
            expectedRows.add(indexRowWithId(val));
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        Operator plan =
            map_NestedLoops(
                indexScan_Default(aValueIndexRowType),
                branchLookup_Nested(rabc, aValueIndexRowType, rRowType, InputPreservationOption.DISCARD_INPUT, 0),
                0, pipelineMap(), 1);
        Cursor cursor = cursor(plan, queryContext, queryBindings);
        Row[] expected = new Row[]{
            // Each r row, and everything below it, is duplicated, because the A index refers to each r value twice.
            row(rRowType, 1L, "r1"),
            row(aRowType, 13L, 1L, "a13"),
            row(aRowType, 14L, 1L, "a14"),
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                    aValueIndexRowType,
                    Collections.singleton(aRowType),
                    InputPreservationOption.DISCARD_INPUT),
                branchLookup_Nested(rabc, aRowType, rRowType, InputPreservationOption.DISCARD_INPUT, 0),
                0, pipelineMap(), 1);
        Cursor cursor = cursor(plan, queryContext, queryBindings);
        Row[] expected = new Row[]{
            // Each r row, and everything below it, is duplicated, because the A index refers to each r value twice.
            row(rRowType, 1L, "r1"),
            row(aRowType, 13L, 1L, "a13"),
            row(aRowType, 14L, 1L, "a14"),
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                filter_Default(
                    groupScan_Default(rabc),
                    Collections.singleton(aRowType)),
                branchLookup_Nested(rabc, aRowType, bRowType, InputPreservationOption.DISCARD_INPUT, 0),
                0, pipelineMap(), 1);
        Cursor cursor = cursor(plan, queryContext, queryBindings);
        Row[] expected = new Row[]{
            row(bRowType, 15L, 1L, "b15"),
            row(bRowType, 16L, 1L, "b16"),
            row(bRowType, 15L, 1L, "b15"),
            row(bRowType, 16L, 1L, "b16"),
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                        Collections.singleton(aRowType)),
                    branchLookup_Nested(rabc, aRowType, bRowType, InputPreservationOption.DISCARD_INPUT, 0),
                    0, pipelineMap(), 1),
                branchLookup_Nested(rabc, bRowType, cRowType, InputPreservationOption.KEEP_INPUT, 1),
                1, pipelineMap(), 1);
        Cursor cursor = cursor(plan, queryContext, queryBindings);
        Row[] expected = new Row[]{
            row(bRowType, 15L, 1L, "b15"),
            row(cRowType, 17L, 1L, "c17"),
            row(cRowType, 18L, 1L, "c18"),
            row(bRowType, 16L, 1L, "b16"),
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Related Classes of com.foundationdb.qp.operator.Cursor

  • com.foundationdb.qp.storeadapter.indexcursor.KeyFinalCursorIT
  • com.foundationdb.server.service.externaldata.ExternalDataServiceImpl
  • com.foundationdb.server.service.is.ServerSchemaTablesServiceIT
  • com.foundationdb.server.service.restdml.DeleteProcessor
  • com.foundationdb.server.service.restdml.InsertProcessor
  • com.foundationdb.server.service.restdml.UpsertProcessor
  • com.foundationdb.server.service.text.FullTextIndexServiceImpl
  • com.foundationdb.server.store.AbstractStore
  • com.foundationdb.server.store.OnlineHelper
  • com.foundationdb.server.store.StoreGIMaintenance
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