Examples with ResultSetLoader org.apache.drill.exec.physical.resultSet.ResultSetLoader used on opensource projects

Example 61 with ResultSetLoader

use of org.apache.drill.exec.physical.resultSet.ResultSetLoader in project drill by apache.

the class TestResultSetLoaderOverflow method testSizeLimitOnArray.

/**
 * Test a row with a single array column which overflows. Verifies
 * that all the fiddly bits about offset vectors and so on works
 * correctly. Run this test (the simplest case) if you change anything
 * about the array handling code.
 */
@Test
public void testSizeLimitOnArray() {
    TupleMetadata schema = new SchemaBuilder().addArray("s", MinorType.VARCHAR).buildSchema();
    ResultSetOptions options = new ResultSetOptionBuilder().rowCountLimit(ValueVector.MAX_ROW_COUNT).readerSchema(schema).build();
    ResultSetLoader rsLoader = new ResultSetLoaderImpl(fixture.allocator(), options);
    RowSetLoader rootWriter = rsLoader.writer();
    // Fill batch with rows of with a single array, three values each. Tack on
    // a suffix to each so we can be sure the proper data is written and moved
    // to the overflow batch.
    rsLoader.startBatch();
    byte[] value = new byte[473];
    Arrays.fill(value, (byte) 'X');
    String strValue = new String(value, Charsets.UTF_8);
    int valuesPerArray = 13;
    int count = 0;
    {
        int rowSize = 0;
        int totalSize = 0;
        while (rootWriter.start()) {
            totalSize += rowSize;
            rowSize = 0;
            ScalarWriter array = rootWriter.array(0).scalar();
            for (int i = 0; i < valuesPerArray; i++) {
                String cellValue = strValue + (count + 1) + "." + i;
                array.setString(cellValue);
                rowSize += cellValue.length();
            }
            rootWriter.save();
            count++;
        }
        // Row count should include the overflow row.
        int expectedCount = count - 1;
        // Size without overflow row should fit in the vector, size
        // with overflow should not.
        assertTrue(totalSize <= ValueVector.MAX_BUFFER_SIZE);
        assertTrue(totalSize + rowSize > ValueVector.MAX_BUFFER_SIZE);
        // Result should exclude the overflow row. Last row
        // should hold the last full array.
        VectorContainer container = rsLoader.harvest();
        BatchValidator.validate(container);
        RowSet result = fixture.wrap(container);
        assertEquals(expectedCount, result.rowCount());
        RowSetReader reader = result.reader();
        reader.setPosition(expectedCount - 1);
        ArrayReader arrayReader = reader.array(0);
        ScalarReader strReader = arrayReader.scalar();
        assertEquals(valuesPerArray, arrayReader.size());
        for (int i = 0; i < valuesPerArray; i++) {
            assertTrue(arrayReader.next());
            String cellValue = strValue + (count - 1) + "." + i;
            assertEquals(cellValue, strReader.getString());
        }
        result.clear();
    }
    // Next batch should start with the overflow row.
    // The only row in this next batch should be the whole
    // array being written at the time of overflow.
    {
        rsLoader.startBatch();
        assertEquals(1, rootWriter.rowCount());
        assertEquals(count, rsLoader.totalRowCount());
        VectorContainer container = rsLoader.harvest();
        BatchValidator.validate(container);
        RowSet result = fixture.wrap(container);
        assertEquals(1, result.rowCount());
        RowSetReader reader = result.reader();
        reader.next();
        ArrayReader arrayReader = reader.array(0);
        ScalarReader strReader = arrayReader.scalar();
        assertEquals(valuesPerArray, arrayReader.size());
        for (int i = 0; i < valuesPerArray; i++) {
            assertTrue(arrayReader.next());
            String cellValue = strValue + count + "." + i;
            assertEquals(cellValue, strReader.getString());
        }
        result.clear();
    }
    rsLoader.close();
}

Example 62 with ResultSetLoader

use of org.apache.drill.exec.physical.resultSet.ResultSetLoader in project drill by apache.

the class TestResultSetLoaderProtocol method testCaseInsensitiveSchema.

/**
 * Schemas are case insensitive by default. Verify that
 * the schema mechanism works, with emphasis on the
 * case insensitive case.
 * <p>
 * The tests here and elsewhere build columns from a
 * <tt>MaterializedField</tt>. Doing so is rather old-school;
 * better to use the newer <tt>ColumnMetadata</tt> which provides
 * additional information. The code here simply uses the <tt>MaterializedField</tt>
 * to create a <tt>ColumnMetadata</tt> implicitly.
 */
@Test
public void testCaseInsensitiveSchema() {
    ResultSetLoader rsLoader = new ResultSetLoaderImpl(fixture.allocator());
    RowSetLoader rootWriter = rsLoader.writer();
    TupleMetadata schema = rootWriter.tupleSchema();
    assertEquals(0, rsLoader.schemaVersion());
    // No columns defined in schema
    assertNull(schema.metadata("a"));
    try {
        schema.column(0);
        fail();
    } catch (IndexOutOfBoundsException e) {
    // Expected
    }
    try {
        rootWriter.column("a");
        fail();
    } catch (UndefinedColumnException e) {
    // Expected
    }
    try {
        rootWriter.column(0);
        fail();
    } catch (IndexOutOfBoundsException e) {
    // Expected
    }
    // Define a column
    assertEquals(0, rsLoader.schemaVersion());
    MaterializedField colSchema = SchemaBuilder.columnSchema("a", MinorType.VARCHAR, DataMode.REQUIRED);
    rootWriter.addColumn(colSchema);
    assertEquals(1, rsLoader.schemaVersion());
    // Can now be found, case insensitive
    assertTrue(colSchema.isEquivalent(schema.column(0)));
    ColumnMetadata colMetadata = schema.metadata(0);
    assertSame(colMetadata, schema.metadata("a"));
    assertSame(colMetadata, schema.metadata("A"));
    assertNotNull(rootWriter.column(0));
    assertNotNull(rootWriter.column("a"));
    assertNotNull(rootWriter.column("A"));
    assertEquals(1, schema.size());
    assertEquals(0, schema.index("a"));
    assertEquals(0, schema.index("A"));
    try {
        rootWriter.addColumn(colSchema);
        fail();
    } catch (UserException e) {
    // Expected
    }
    try {
        MaterializedField testCol = SchemaBuilder.columnSchema("A", MinorType.VARCHAR, DataMode.REQUIRED);
        rootWriter.addColumn(testCol);
        fail();
    } catch (UserException e) {
        // Expected
        assertTrue(e.getMessage().contains("Duplicate"));
    }
    // Can still add required fields while writing the first row.
    rsLoader.startBatch();
    rootWriter.start();
    rootWriter.scalar(0).setString("foo");
    MaterializedField col2 = SchemaBuilder.columnSchema("b", MinorType.VARCHAR, DataMode.REQUIRED);
    rootWriter.addColumn(col2);
    assertEquals(2, rsLoader.schemaVersion());
    assertTrue(col2.isEquivalent(schema.column(1)));
    ColumnMetadata col2Metadata = schema.metadata(1);
    assertSame(col2Metadata, schema.metadata("b"));
    assertSame(col2Metadata, schema.metadata("B"));
    assertEquals(2, schema.size());
    assertEquals(1, schema.index("b"));
    assertEquals(1, schema.index("B"));
    rootWriter.scalar(1).setString("second");
    // After first row, can add an optional or repeated.
    // Also allows a required field: values will be back-filled.
    rootWriter.save();
    rootWriter.start();
    rootWriter.scalar(0).setString("bar");
    rootWriter.scalar(1).setString("");
    MaterializedField col3 = SchemaBuilder.columnSchema("c", MinorType.VARCHAR, DataMode.REQUIRED);
    rootWriter.addColumn(col3);
    assertEquals(3, rsLoader.schemaVersion());
    assertTrue(col3.isEquivalent(schema.column(2)));
    ColumnMetadata col3Metadata = schema.metadata(2);
    assertSame(col3Metadata, schema.metadata("c"));
    assertSame(col3Metadata, schema.metadata("C"));
    assertEquals(3, schema.size());
    assertEquals(2, schema.index("c"));
    assertEquals(2, schema.index("C"));
    rootWriter.scalar("c").setString("c.2");
    MaterializedField col4 = SchemaBuilder.columnSchema("d", MinorType.VARCHAR, DataMode.OPTIONAL);
    rootWriter.addColumn(col4);
    assertEquals(4, rsLoader.schemaVersion());
    assertTrue(col4.isEquivalent(schema.column(3)));
    ColumnMetadata col4Metadata = schema.metadata(3);
    assertSame(col4Metadata, schema.metadata("d"));
    assertSame(col4Metadata, schema.metadata("D"));
    assertEquals(4, schema.size());
    assertEquals(3, schema.index("d"));
    assertEquals(3, schema.index("D"));
    rootWriter.scalar("d").setString("d.2");
    MaterializedField col5 = SchemaBuilder.columnSchema("e", MinorType.VARCHAR, DataMode.REPEATED);
    rootWriter.addColumn(col5);
    assertEquals(5, rsLoader.schemaVersion());
    assertTrue(col5.isEquivalent(schema.column(4)));
    ColumnMetadata col5Metadata = schema.metadata(4);
    assertSame(col5Metadata, schema.metadata("e"));
    assertSame(col5Metadata, schema.metadata("E"));
    assertEquals(5, schema.size());
    assertEquals(4, schema.index("e"));
    assertEquals(4, schema.index("E"));
    rootWriter.array(4).setObject(strArray("e1", "e2", "e3"));
    MaterializedField col6 = SchemaBuilder.columnSchema("f", MinorType.BIGINT, DataMode.REPEATED);
    rootWriter.addColumn(col6);
    assertEquals(6, rsLoader.schemaVersion());
    assertTrue(col6.isEquivalent(schema.column(5)));
    ColumnMetadata col6Metadata = schema.metadata(5);
    assertSame(col6Metadata, schema.metadata("f"));
    assertSame(col6Metadata, schema.metadata("F"));
    assertEquals(6, schema.size());
    assertEquals(5, schema.index("f"));
    assertEquals(5, schema.index("F"));
    rootWriter.array(5).setObject(new Long[] { Long.MIN_VALUE, Long.MAX_VALUE });
    MaterializedField col7 = SchemaBuilder.columnSchema("g", MinorType.INT, DataMode.REPEATED);
    rootWriter.addColumn(col7);
    assertEquals(7, rsLoader.schemaVersion());
    assertTrue(col7.isEquivalent(schema.column(6)));
    ColumnMetadata col7Metadata = schema.metadata(6);
    assertSame(col7Metadata, schema.metadata("g"));
    assertSame(col7Metadata, schema.metadata("G"));
    assertEquals(7, schema.size());
    assertEquals(6, schema.index("g"));
    assertEquals(6, schema.index("G"));
    rootWriter.array(6).setObject(new Integer[] { Integer.MIN_VALUE, Integer.MAX_VALUE });
    MaterializedField col8 = SchemaBuilder.columnSchema("h", MinorType.INT, DataMode.REPEATED);
    rootWriter.addColumn(col8);
    assertEquals(8, rsLoader.schemaVersion());
    assertTrue(col8.isEquivalent(schema.column(7)));
    ColumnMetadata col8Metadata = schema.metadata(7);
    assertSame(col8Metadata, schema.metadata("h"));
    assertSame(col8Metadata, schema.metadata("H"));
    assertEquals(8, schema.size());
    assertEquals(7, schema.index("h"));
    assertEquals(7, schema.index("H"));
    rootWriter.array(7).setObject(new Short[] { Short.MIN_VALUE, Short.MAX_VALUE });
    MaterializedField col9 = SchemaBuilder.columnSchema("i", MinorType.INT, DataMode.REPEATED);
    rootWriter.addColumn(col9);
    assertEquals(9, rsLoader.schemaVersion());
    assertTrue(col9.isEquivalent(schema.column(8)));
    ColumnMetadata col9Metadata = schema.metadata(8);
    assertSame(col9Metadata, schema.metadata("i"));
    assertSame(col9Metadata, schema.metadata("I"));
    assertEquals(9, schema.size());
    assertEquals(8, schema.index("i"));
    assertEquals(8, schema.index("I"));
    rootWriter.array(8).setObject(new Byte[] { Byte.MIN_VALUE, Byte.MAX_VALUE });
    MaterializedField col10 = SchemaBuilder.columnSchema("j", MinorType.FLOAT8, DataMode.REPEATED);
    rootWriter.addColumn(col10);
    assertEquals(10, rsLoader.schemaVersion());
    assertTrue(col10.isEquivalent(schema.column(9)));
    ColumnMetadata col10Metadata = schema.metadata(9);
    assertSame(col10Metadata, schema.metadata("j"));
    assertSame(col10Metadata, schema.metadata("J"));
    assertEquals(10, schema.size());
    assertEquals(9, schema.index("j"));
    assertEquals(9, schema.index("J"));
    rootWriter.array(9).setObject(new Double[] { Double.MIN_VALUE, Double.MAX_VALUE });
    MaterializedField col11 = SchemaBuilder.columnSchema("k", MinorType.FLOAT4, DataMode.REPEATED);
    rootWriter.addColumn(col11);
    assertEquals(11, rsLoader.schemaVersion());
    assertTrue(col11.isEquivalent(schema.column(10)));
    ColumnMetadata col11Metadata = schema.metadata(10);
    assertSame(col11Metadata, schema.metadata("k"));
    assertSame(col11Metadata, schema.metadata("K"));
    assertEquals(11, schema.size());
    assertEquals(10, schema.index("k"));
    assertEquals(10, schema.index("K"));
    rootWriter.array(10).setObject(new Float[] { Float.MIN_VALUE, Float.MAX_VALUE });
    MaterializedField col12 = SchemaBuilder.columnSchema("l", MinorType.BIT, DataMode.REPEATED);
    rootWriter.addColumn(col12);
    assertEquals(12, rsLoader.schemaVersion());
    assertTrue(col12.isEquivalent(schema.column(11)));
    ColumnMetadata col12Metadata = schema.metadata(11);
    assertSame(col12Metadata, schema.metadata("l"));
    assertSame(col12Metadata, schema.metadata("L"));
    assertEquals(12, schema.size());
    assertEquals(11, schema.index("l"));
    assertEquals(11, schema.index("L"));
    rootWriter.array(11).setObject(new Boolean[] { Boolean.TRUE, Boolean.FALSE });
    rootWriter.save();
    // Verify. No reason to expect problems, but might as well check.
    RowSet result = fixture.wrap(rsLoader.harvest());
    assertEquals(12, rsLoader.schemaVersion());
    SingleRowSet expected = fixture.rowSetBuilder(result.batchSchema()).addRow("foo", "second", "", null, strArray(), longArray(), intArray(), shortArray(), byteArray(), doubleArray(), floatArray(), boolArray()).addRow("bar", "", "c.2", "d.2", strArray("e1", "e2", "e3"), longArray(Long.MIN_VALUE, Long.MAX_VALUE), intArray(Integer.MIN_VALUE, Integer.MAX_VALUE), shortArray(Short.MIN_VALUE, Short.MAX_VALUE), byteArray((int) Byte.MIN_VALUE, (int) Byte.MAX_VALUE), doubleArray(Double.MIN_VALUE, Double.MAX_VALUE), floatArray(Float.MIN_VALUE, Float.MAX_VALUE), boolArray(Boolean.TRUE, Boolean.FALSE)).build();
    RowSetUtilities.verify(expected, result);
    // Handy way to test that close works to abort an in-flight batch
    // and clean up.
    rsLoader.close();
}

Example 63 with ResultSetLoader

use of org.apache.drill.exec.physical.resultSet.ResultSetLoader in project drill by apache.

the class TestResultSetLoaderProtocol method testOverwriteRow.

/**
 * The writer protocol allows a client to write to a row any number of times
 * before invoking {@code save()}. In this case, each new value simply
 * overwrites the previous value. Here, we test the most basic case: a simple,
 * flat tuple with no arrays. We use a very large Varchar that would, if
 * overwrite were not working, cause vector overflow.
 * <p>
 * The ability to overwrite rows is seldom needed except in one future use
 * case: writing a row, then applying a filter "in-place" to discard unwanted
 * rows, without having to send the row downstream.
 * <p>
 * Because of this use case, specific rules apply when discarding row or
 * overwriting values.
 * <ul>
 * <li>Values can be written once per row. Fixed-width columns actually allow
 * multiple writes. But, because of the way variable-width columns work,
 * multiple writes will cause undefined results.</li>
 * <li>To overwrite a row, call <tt>start()</tt> without calling
 * <tt>save()</tt> on the previous row. Doing so ignores data for the
 * previous row and starts a new row in place of the old one.</li>
 * </ul>
 * Note that there is no explicit method to discard a row. Instead,
 * the rule is that a row is not saved until <tt>save()</tt> is called.
 */
@Test
public void testOverwriteRow() {
    TupleMetadata schema = new SchemaBuilder().add("a", MinorType.INT).add("b", MinorType.VARCHAR).buildSchema();
    ResultSetLoaderImpl.ResultSetOptions options = new ResultSetOptionBuilder().readerSchema(schema).rowCountLimit(ValueVector.MAX_ROW_COUNT).build();
    ResultSetLoader rsLoader = new ResultSetLoaderImpl(fixture.allocator(), options);
    RowSetLoader rootWriter = rsLoader.writer();
    // Can't use the shortcut to populate rows when doing overwrites.
    ScalarWriter aWriter = rootWriter.scalar("a");
    ScalarWriter bWriter = rootWriter.scalar("b");
    // Write 100,000 rows, overwriting 99% of them. This will cause vector
    // overflow and data corruption if overwrite does not work; but will happily
    // produce the correct result if everything works as it should.
    byte[] value = new byte[512];
    Arrays.fill(value, (byte) 'X');
    int count = 0;
    rsLoader.startBatch();
    while (count < 100_000) {
        rootWriter.start();
        count++;
        aWriter.setInt(count);
        bWriter.setBytes(value, value.length);
        if (count % 100 == 0) {
            rootWriter.save();
        }
    }
    // Verify using a reader.
    RowSet result = fixture.wrap(rsLoader.harvest());
    assertEquals(count / 100, result.rowCount());
    RowSetReader reader = result.reader();
    int rowId = 1;
    while (reader.next()) {
        assertEquals(rowId * 100, reader.scalar("a").getInt());
        assertTrue(Arrays.equals(value, reader.scalar("b").getBytes()));
        rowId++;
    }
    result.clear();
    rsLoader.close();
}

Example 64 with ResultSetLoader

use of org.apache.drill.exec.physical.resultSet.ResultSetLoader in project drill by apache.

the class TestScanOrchestratorImplicitColumns method testMixture.

/**
 * Test SELECT dir0, b, suffix, c FROM table(a, b)
 * Full combination of metadata, table and null columns
 */
@Test
public void testMixture() {
    ScanOrchestratorBuilder builder = new MockScanBuilder();
    File file = dirTestWatcher.copyResourceToRoot(Paths.get("multilevel", "csv", "1994", "Q1", "orders_94_q1.csv"), Paths.get("x", "y", "z.csv"));
    Path filePath = new Path(file.toURI().getPath());
    ImplicitColumnManager metadataManager = new ImplicitColumnManager(fixture.getOptionManager(), standardOptions(filePath));
    builder.withImplicitColumns(metadataManager);
    // SELECT dir0, b, suffix, c ...
    builder.projection(RowSetTestUtils.projectList("dir0", "b", "suffix", "c"));
    ScanSchemaOrchestrator scanner = new ScanSchemaOrchestrator(fixture.allocator(), builder);
    // ... FROM file
    metadataManager.startFile(filePath);
    ReaderSchemaOrchestrator reader = scanner.startReader();
    // file schema (a, b)
    TupleMetadata tableSchema = new SchemaBuilder().add("a", MinorType.INT).add("b", MinorType.VARCHAR).buildSchema();
    // Create the table loader
    ResultSetLoader loader = reader.makeTableLoader(tableSchema);
    TupleMetadata expectedSchema = new SchemaBuilder().addNullable("dir0", MinorType.VARCHAR).add("b", MinorType.VARCHAR).add("suffix", MinorType.VARCHAR).addNullable("c", MinorType.INT).buildSchema();
    // Create a batch of data.
    reader.startBatch();
    loader.writer().addRow(1, "fred").addRow(2, "wilma");
    reader.endBatch();
    // Verify
    SingleRowSet expected = fixture.rowSetBuilder(expectedSchema).addRow("x", "fred", "csv", null).addRow("x", "wilma", "csv", null).build();
    RowSetUtilities.verify(expected, fixture.wrap(scanner.output()));
    scanner.close();
}

Example 65 with ResultSetLoader

use of org.apache.drill.exec.physical.resultSet.ResultSetLoader in project drill by apache.

the class TestSchemaSmoothing method testWildcardSmoothing.

/**
 * A SELECT * query uses the schema of the table as the output schema.
 * This is trivial when the scanner has one table. But, if two or more
 * tables occur, then things get interesting. The first table sets the
 * schema. The second table then has:
 * <ul>
 * <li>The same schema, trivial case.</li>
 * <li>A subset of the first table. The type of the "missing" column
 * from the first table is used for a null column in the second table.</li>
 * <li>A superset or disjoint set of the first schema. This triggers a hard schema
 * change.</li>
 * </ul>
 * <p>
 * It is an open question whether previous columns should be preserved on
 * a hard reset. For now, the code implements, and this test verifies, that a
 * hard reset clears the "memory" of prior schemas.
 */
@Test
public void testWildcardSmoothing() {
    ScanOrchestratorBuilder builder = new MockScanBuilder();
    builder.enableSchemaSmoothing(true);
    builder.projection(RowSetTestUtils.projectAll());
    final ScanSchemaOrchestrator projector = new ScanSchemaOrchestrator(fixture.allocator(), builder);
    final TupleMetadata firstSchema = new SchemaBuilder().add("a", MinorType.INT).addNullable("b", MinorType.VARCHAR, 10).addNullable("c", MinorType.BIGINT).buildSchema();
    final TupleMetadata subsetSchema = new SchemaBuilder().addNullable("b", MinorType.VARCHAR, 10).add("a", MinorType.INT).buildSchema();
    final TupleMetadata disjointSchema = new SchemaBuilder().add("a", MinorType.INT).addNullable("b", MinorType.VARCHAR, 10).add("d", MinorType.VARCHAR).buildSchema();
    final SchemaTracker tracker = new SchemaTracker();
    int schemaVersion;
    {
        // First table, establishes the baseline
        // ... FROM table 1
        final ReaderSchemaOrchestrator reader = projector.startReader();
        final ResultSetLoader loader = reader.makeTableLoader(firstSchema);
        reader.startBatch();
        loader.writer().addRow(10, "fred", 110L).addRow(20, "wilma", 110L);
        reader.endBatch();
        tracker.trackSchema(projector.output());
        schemaVersion = tracker.schemaVersion();
        final SingleRowSet expected = fixture.rowSetBuilder(firstSchema).addRow(10, "fred", 110L).addRow(20, "wilma", 110L).build();
        new RowSetComparison(expected).verifyAndClearAll(fixture.wrap(projector.output()));
    }
    {
        // Second table, same schema, the trivial case
        // ... FROM table 2
        final ReaderSchemaOrchestrator reader = projector.startReader();
        final ResultSetLoader loader = reader.makeTableLoader(firstSchema);
        reader.startBatch();
        loader.writer().addRow(70, "pebbles", 770L).addRow(80, "hoppy", 880L);
        reader.endBatch();
        tracker.trackSchema(projector.output());
        assertEquals(schemaVersion, tracker.schemaVersion());
        final SingleRowSet expected = fixture.rowSetBuilder(firstSchema).addRow(70, "pebbles", 770L).addRow(80, "hoppy", 880L).build();
        new RowSetComparison(expected).verifyAndClearAll(fixture.wrap(projector.output()));
    }
    {
        // Third table: subset schema of first two
        // ... FROM table 3
        final ReaderSchemaOrchestrator reader = projector.startReader();
        final ResultSetLoader loader = reader.makeTableLoader(subsetSchema);
        reader.startBatch();
        loader.writer().addRow("bambam", 30).addRow("betty", 40);
        reader.endBatch();
        tracker.trackSchema(projector.output());
        assertEquals(schemaVersion, tracker.schemaVersion());
        final SingleRowSet expected = fixture.rowSetBuilder(firstSchema).addRow(30, "bambam", null).addRow(40, "betty", null).build();
        new RowSetComparison(expected).verifyAndClearAll(fixture.wrap(projector.output()));
    }
    {
        // Fourth table: disjoint schema, cases a schema reset
        // ... FROM table 4
        final ReaderSchemaOrchestrator reader = projector.startReader();
        final ResultSetLoader loader = reader.makeTableLoader(disjointSchema);
        reader.startBatch();
        loader.writer().addRow(50, "dino", "supporting").addRow(60, "barney", "main");
        reader.endBatch();
        tracker.trackSchema(projector.output());
        assertNotEquals(schemaVersion, tracker.schemaVersion());
        final SingleRowSet expected = fixture.rowSetBuilder(disjointSchema).addRow(50, "dino", "supporting").addRow(60, "barney", "main").build();
        new RowSetComparison(expected).verifyAndClearAll(fixture.wrap(projector.output()));
    }
    projector.close();
}