Examples with SchemaTracker org.apache.drill.exec.physical.impl.protocol.SchemaTracker used on opensource projects

Example 1 with SchemaTracker

use of org.apache.drill.exec.physical.impl.protocol.SchemaTracker in project drill by apache.

the class TestScanOrchestratorImplicitColumns method testMetadataMulti.

/**
 * Verify that metadata columns follow distinct files
 * <br>
 * SELECT dir0, filename, b FROM (a.csv, b.csv)
 */
@Test
public void testMetadataMulti() {
    ScanOrchestratorBuilder builder = new MockScanBuilder();
    File file = dirTestWatcher.copyResourceToRoot(Paths.get("multilevel", "csv", "1994", "Q1", "orders_94_q1.csv"), Paths.get("x", "y", "a.csv"));
    Path filePathA = new Path(file.toURI().getPath());
    File file2 = dirTestWatcher.copyResourceToRoot(Paths.get("multilevel", "csv", "1994", "Q2", "orders_94_q2.csv"), Paths.get("x", "b.csv"));
    Path filePathB = new Path(file2.toURI().getPath());
    ImplicitColumnManager metadataManager = new ImplicitColumnManager(fixture.getOptionManager(), standardOptions(Lists.newArrayList(filePathA, filePathB)));
    builder.withImplicitColumns(metadataManager);
    // SELECT dir0, dir1, filename, b ...
    builder.projection(RowSetTestUtils.projectList(ScanTestUtils.partitionColName(0), ScanTestUtils.partitionColName(1), ScanTestUtils.FILE_NAME_COL, "b"));
    ScanSchemaOrchestrator scanner = new ScanSchemaOrchestrator(fixture.allocator(), builder);
    // file schema (a, b)
    TupleMetadata tableSchema = new SchemaBuilder().add("a", MinorType.INT).addNullable("b", MinorType.VARCHAR, 10).buildSchema();
    TupleMetadata expectedSchema = new SchemaBuilder().addNullable(ScanTestUtils.partitionColName(0), MinorType.VARCHAR).addNullable(ScanTestUtils.partitionColName(1), MinorType.VARCHAR).add(ScanTestUtils.FILE_NAME_COL, MinorType.VARCHAR).addNullable("b", MinorType.VARCHAR, 10).buildSchema();
    SchemaTracker tracker = new SchemaTracker();
    int schemaVersion;
    {
        // ... FROM file a.csv
        metadataManager.startFile(filePathA);
        ReaderSchemaOrchestrator reader = scanner.startReader();
        ResultSetLoader loader = reader.makeTableLoader(tableSchema);
        reader.startBatch();
        loader.writer().addRow(10, "fred").addRow(20, "wilma");
        reader.endBatch();
        tracker.trackSchema(scanner.output());
        schemaVersion = tracker.schemaVersion();
        SingleRowSet expected = fixture.rowSetBuilder(expectedSchema).addRow("x", "y", "a.csv", "fred").addRow("x", "y", "a.csv", "wilma").build();
        RowSetUtilities.verify(expected, fixture.wrap(scanner.output()));
        // Do explicit close (as in real code) to avoid an implicit
        // close which will blow away the current file info...
        scanner.closeReader();
    }
    {
        // ... FROM file b.csv
        metadataManager.startFile(filePathB);
        ReaderSchemaOrchestrator reader = scanner.startReader();
        ResultSetLoader loader = reader.makeTableLoader(tableSchema);
        reader.startBatch();
        loader.writer().addRow(30, "bambam").addRow(40, "betty");
        reader.endBatch();
        tracker.trackSchema(scanner.output());
        assertEquals(schemaVersion, tracker.schemaVersion());
        SingleRowSet expected = fixture.rowSetBuilder(expectedSchema).addRow("x", null, "b.csv", "bambam").addRow("x", null, "b.csv", "betty").build();
        RowSetUtilities.verify(expected, fixture.wrap(scanner.output()));
        scanner.closeReader();
    }
    scanner.close();
}

Example 2 with SchemaTracker

use of org.apache.drill.exec.physical.impl.protocol.SchemaTracker in project drill by apache.

the class TestScanOrchestratorEarlySchema method testTypeSmoothingExplicit.

/**
 * The projection mechanism provides "type smoothing": null
 * columns prefer the type of previously-seen non-null columns.
 *
 * <code><pre>
 * SELECT a, b ...
 *
 * Table 1: (a: BIGINT, b: VARCHAR)
 * Table 2: (a: BIGINT)
 * Table 3: (b: VARCHAR)
 * </pre></code>
 * The result in all cases should be
 * <tt>(a : BIGINT, b: VARCHAR)</tt>
 */
@Test
public void testTypeSmoothingExplicit() {
    ScanOrchestratorBuilder builder = new MockScanBuilder();
    TupleMetadata table1Schema = new SchemaBuilder().add("A", MinorType.BIGINT).addNullable("B", MinorType.VARCHAR).addArray("C", MinorType.INT).buildSchema();
    BatchSchema resultSchema = new BatchSchema(SelectionVectorMode.NONE, table1Schema.toFieldList());
    SchemaTracker tracker = new SchemaTracker();
    // SELECT * ...
    builder.projection(RowSetTestUtils.projectList("a", "b", "c"));
    ScanSchemaOrchestrator scanner = new ScanSchemaOrchestrator(fixture.allocator(), builder);
    int schemaVersion;
    {
        // ... FROM table1(a, b, c)
        ReaderSchemaOrchestrator reader = scanner.startReader();
        reader.makeTableLoader(table1Schema);
        reader.defineSchema();
        VectorContainer output = scanner.output();
        tracker.trackSchema(output);
        schemaVersion = tracker.schemaVersion();
        assertTrue(resultSchema.isEquivalent(output.getSchema()));
        scanner.closeReader();
    }
    {
        // ... FROM table1(a, c)
        // 
        // B is dropped. But, it is nullable, so the vector cache
        // can supply the proper type to ensure continuity.
        TupleMetadata table2Schema = new SchemaBuilder().add("A", MinorType.BIGINT).addArray("C", MinorType.INT).buildSchema();
        ReaderSchemaOrchestrator reader = scanner.startReader();
        reader.makeTableLoader(table2Schema);
        reader.defineSchema();
        VectorContainer output = scanner.output();
        tracker.trackSchema(output);
        assertEquals(schemaVersion, tracker.schemaVersion());
        assertTrue(resultSchema.isEquivalent(output.getSchema()));
        scanner.closeReader();
    }
    {
        // ... FROM table1(a, b)
        // 
        // C is dropped. But, it is an array, which uses zero-elements
        // to indicate null, so the vector cache can fill in the type.
        TupleMetadata table3Schema = new SchemaBuilder().add("A", MinorType.BIGINT).addNullable("B", MinorType.VARCHAR).buildSchema();
        ReaderSchemaOrchestrator reader = scanner.startReader();
        reader.makeTableLoader(table3Schema);
        reader.defineSchema();
        VectorContainer output = scanner.output();
        tracker.trackSchema(output);
        assertEquals(schemaVersion, tracker.schemaVersion());
        assertTrue(resultSchema.isEquivalent(output.getSchema()));
        scanner.closeReader();
    }
    {
        // ... FROM table1(b, c)
        // 
        // This version carries over a non-nullable BIGINT, but that
        // can't become a null column, so nullable BIGINT is substituted,
        // result in a schema change.
        TupleMetadata table2Schema = new SchemaBuilder().addNullable("B", MinorType.VARCHAR).addArray("C", MinorType.INT).buildSchema();
        ReaderSchemaOrchestrator reader = scanner.startReader();
        reader.makeTableLoader(table2Schema);
        reader.defineSchema();
        VectorContainer output = scanner.output();
        tracker.trackSchema(output);
        assertEquals(MinorType.BIGINT, output.getSchema().getColumn(0).getType().getMinorType());
        assertEquals(DataMode.OPTIONAL, output.getSchema().getColumn(0).getType().getMode());
        assertTrue(schemaVersion < tracker.schemaVersion());
        scanner.closeReader();
    }
    scanner.close();
}

Example 3 with SchemaTracker

use of org.apache.drill.exec.physical.impl.protocol.SchemaTracker in project drill by apache.

the class TestScanOrchestratorEarlySchema method testColumnReordering.

/**
 * Verify that different table column orders are projected into the
 * SELECT order, preserving vectors, so no schema change for column
 * reordering.
 */
@Test
public void testColumnReordering() {
    ScanOrchestratorBuilder builder = new MockScanBuilder();
    builder.enableSchemaSmoothing(true);
    builder.projection(RowSetTestUtils.projectList("a", "b", "c"));
    ScanSchemaOrchestrator scanner = new ScanSchemaOrchestrator(fixture.allocator(), builder);
    TupleMetadata schema1 = new SchemaBuilder().add("a", MinorType.INT).addNullable("b", MinorType.VARCHAR, 10).add("c", MinorType.BIGINT).buildSchema();
    TupleMetadata schema2 = new SchemaBuilder().add("c", MinorType.BIGINT).add("a", MinorType.INT).addNullable("b", MinorType.VARCHAR, 10).buildSchema();
    TupleMetadata schema3 = new SchemaBuilder().add("a", MinorType.INT).add("c", MinorType.BIGINT).addNullable("b", MinorType.VARCHAR, 10).buildSchema();
    SchemaTracker tracker = new SchemaTracker();
    int schemaVersion;
    {
        // ... FROM table 1
        ReaderSchemaOrchestrator reader = scanner.startReader();
        // Projection of (a, b, c) to (a, b, c)
        ResultSetLoader loader = reader.makeTableLoader(schema1);
        reader.startBatch();
        loader.writer().addRow(10, "fred", 110L).addRow(20, "wilma", 110L);
        reader.endBatch();
        tracker.trackSchema(scanner.output());
        schemaVersion = tracker.schemaVersion();
        SingleRowSet expected = fixture.rowSetBuilder(schema1).addRow(10, "fred", 110L).addRow(20, "wilma", 110L).build();
        RowSetUtilities.verify(expected, fixture.wrap(scanner.output()));
        scanner.closeReader();
    }
    {
        // ... FROM table 2
        ReaderSchemaOrchestrator reader = scanner.startReader();
        // Projection of (c, a, b) to (a, b, c)
        ResultSetLoader loader = reader.makeTableLoader(schema2);
        reader.startBatch();
        loader.writer().addRow(330L, 30, "bambam").addRow(440L, 40, "betty");
        reader.endBatch();
        tracker.trackSchema(scanner.output());
        assertEquals(schemaVersion, tracker.schemaVersion());
        SingleRowSet expected = fixture.rowSetBuilder(schema1).addRow(30, "bambam", 330L).addRow(40, "betty", 440L).build();
        RowSetUtilities.verify(expected, fixture.wrap(scanner.output()));
    }
    {
        // ... FROM table 3
        ReaderSchemaOrchestrator reader = scanner.startReader();
        // Projection of (a, c, b) to (a, b, c)
        ResultSetLoader loader = reader.makeTableLoader(schema3);
        reader.startBatch();
        loader.writer().addRow(50, 550L, "dino").addRow(60, 660L, "barney");
        reader.endBatch();
        tracker.trackSchema(scanner.output());
        assertEquals(schemaVersion, tracker.schemaVersion());
        SingleRowSet expected = fixture.rowSetBuilder(schema1).addRow(50, "dino", 550L).addRow(60, "barney", 660L).build();
        RowSetUtilities.verify(expected, fixture.wrap(scanner.output()));
    }
    scanner.close();
}

Example 4 with SchemaTracker

use of org.apache.drill.exec.physical.impl.protocol.SchemaTracker 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();
}

Example 5 with SchemaTracker

use of org.apache.drill.exec.physical.impl.protocol.SchemaTracker in project drill by apache.

the class TestScanOrchestratorEarlySchema method testTypeSmoothing.

/**
 * Test the ability of the scan scanner to "smooth" out schema changes
 * by reusing the type from a previous reader, if known. That is,
 * given three readers:<br>
 * (a, b)<br>
 * (b)<br>
 * (a, b)<br>
 * Then the type of column a should be preserved for the second reader that
 * does not include a. This works if a is nullable. If so, a's type will
 * be used for the empty column, rather than the usual nullable int.
 * <p>
 * Detailed testing of type matching for "missing" columns is done
 * in {@link #testNullColumnLoader()}.
 * <p>
 * As a side effect, makes sure that two identical tables (in this case,
 * separated by a different table) results in no schema change.
 */
@Test
public void testTypeSmoothing() {
    ScanOrchestratorBuilder builder = new MockScanBuilder();
    // SELECT a, b ...
    builder.projection(RowSetTestUtils.projectList("a", "b"));
    ScanSchemaOrchestrator scanner = new ScanSchemaOrchestrator(fixture.allocator(), builder);
    // file schema (a, b)
    TupleMetadata twoColSchema = new SchemaBuilder().add("a", MinorType.INT).addNullable("b", MinorType.VARCHAR, 10).buildSchema();
    SchemaTracker tracker = new SchemaTracker();
    int schemaVersion;
    {
        // ... FROM table 1
        ReaderSchemaOrchestrator reader = scanner.startReader();
        ResultSetLoader loader = reader.makeTableLoader(twoColSchema);
        // Projection of (a, b) to (a, b)
        reader.startBatch();
        loader.writer().addRow(10, "fred").addRow(20, "wilma");
        reader.endBatch();
        tracker.trackSchema(scanner.output());
        schemaVersion = tracker.schemaVersion();
        SingleRowSet expected = fixture.rowSetBuilder(twoColSchema).addRow(10, "fred").addRow(20, "wilma").build();
        RowSetUtilities.verify(expected, fixture.wrap(scanner.output()));
    }
    {
        // ... FROM table 2
        ReaderSchemaOrchestrator reader = scanner.startReader();
        // File schema (a)
        TupleMetadata oneColSchema = new SchemaBuilder().add("a", MinorType.INT).buildSchema();
        // Projection of (a) to (a, b), reusing b from above.
        ResultSetLoader loader = reader.makeTableLoader(oneColSchema);
        reader.startBatch();
        loader.writer().addRow(30).addRow(40);
        reader.endBatch();
        tracker.trackSchema(scanner.output());
        assertEquals(schemaVersion, tracker.schemaVersion());
        SingleRowSet expected = fixture.rowSetBuilder(twoColSchema).addRow(30, null).addRow(40, null).build();
        RowSetUtilities.verify(expected, fixture.wrap(scanner.output()));
    }
    {
        // ... FROM table 3
        ReaderSchemaOrchestrator reader = scanner.startReader();
        // Projection of (a, b), to (a, b), reusing b yet again
        ResultSetLoader loader = reader.makeTableLoader(twoColSchema);
        reader.startBatch();
        loader.writer().addRow(50, "dino").addRow(60, "barney");
        reader.endBatch();
        tracker.trackSchema(scanner.output());
        assertEquals(schemaVersion, tracker.schemaVersion());
        SingleRowSet expected = fixture.rowSetBuilder(twoColSchema).addRow(50, "dino").addRow(60, "barney").build();
        RowSetUtilities.verify(expected, fixture.wrap(scanner.output()));
    }
    scanner.close();
}