Examples with TupleMetadata org.apache.drill.exec.record.metadata.TupleMetadata used on opensource projects

Example 31 with TupleMetadata

use of org.apache.drill.exec.record.metadata.TupleMetadata 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 32 with TupleMetadata

use of org.apache.drill.exec.record.metadata.TupleMetadata in project drill by apache.

the class TestColumnsArray method testNotRepeated.

@Test
public void testNotRepeated() {
    ScanSchemaOrchestrator scanner = buildScan(true, RowSetTestUtils.projectList(ColumnsScanFramework.COLUMNS_COL));
    TupleMetadata tableSchema = new SchemaBuilder().add(ColumnsScanFramework.COLUMNS_COL, MinorType.VARCHAR).buildSchema();
    try {
        ReaderSchemaOrchestrator reader = scanner.startReader();
        reader.makeTableLoader(tableSchema);
        reader.defineSchema();
        fail();
    } catch (IllegalStateException e) {
    // Expected
    }
    scanner.close();
}

Example 33 with TupleMetadata

use of org.apache.drill.exec.record.metadata.TupleMetadata 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 34 with TupleMetadata

use of org.apache.drill.exec.record.metadata.TupleMetadata in project drill by apache.

the class TestScanOrchestratorEarlySchema method testEarlySchemaSelectAll.

/**
 * Test SELECT a, b FROM table(a, b)
 */
@Test
public void testEarlySchemaSelectAll() {
    ScanOrchestratorBuilder builder = new MockScanBuilder();
    // SELECT a, b ...
    builder.projection(RowSetTestUtils.projectList("a", "b"));
    ScanSchemaOrchestrator scanner = new ScanSchemaOrchestrator(fixture.allocator(), builder);
    // ... FROM table
    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);
    // Don't bother with an empty batch here or in other tests.
    // Simulates the second reader in a scan.
    // Create a batch of data.
    reader.startBatch();
    loader.writer().addRow(1, "fred").addRow(2, "wilma");
    reader.endBatch();
    // Verify
    SingleRowSet expected = fixture.rowSetBuilder(tableSchema).addRow(1, "fred").addRow(2, "wilma").build();
    RowSetUtilities.verify(expected, fixture.wrap(scanner.output()));
    scanner.close();
}

Example 35 with TupleMetadata

use of org.apache.drill.exec.record.metadata.TupleMetadata in project drill by apache.

the class TestScanOrchestratorEarlySchema method testEarlySchemaSelectNone.

/**
 * Test SELECT - FROM table(a, b)
 */
@Test
public void testEarlySchemaSelectNone() {
    ScanOrchestratorBuilder builder = new MockScanBuilder();
    // SELECT ...
    // (Like SELECT COUNT(*) ...
    builder.projection(RowSetTestUtils.projectList());
    ScanSchemaOrchestrator scanner = new ScanSchemaOrchestrator(fixture.allocator(), builder);
    // ... FROM table
    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);
    // Verify that unprojected column is unprojected in the
    // table loader.
    assertTrue(loader.isProjectionEmpty());
    assertFalse(loader.writer().column("a").isProjected());
    assertFalse(loader.writer().column("b").isProjected());
    // Verify empty batch.
    BatchSchema expectedSchema = new BatchSchemaBuilder().withSchemaBuilder(new SchemaBuilder()).build();
    // Create a batch of data.
    reader.startBatch();
    loader.writer().addRow(1, "fred").addRow(2, "wilma");
    reader.endBatch();
    // Verify
    {
        // Two rows, no data.
        SingleRowSet expected = fixture.rowSetBuilder(expectedSchema).addRow().addRow().build();
        RowSetUtilities.verify(expected, fixture.wrap(scanner.output()));
    }
    // Fast path to fill in empty rows
    reader.startBatch();
    loader.skipRows(10);
    reader.endBatch();
    // Verify
    {
        VectorContainer output = scanner.output();
        assertEquals(10, output.getRecordCount());
        output.zeroVectors();
    }
    scanner.close();
}