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

Example 16 with ResultSetLoader

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

the class TestResultSetLoaderProtocol method testCloseWithoutHarvest.

/**
 * Test that memory is released if the loader is closed with an active
 * batch (that is, before the batch is harvested.)
 */
@Test
public void testCloseWithoutHarvest() {
    TupleMetadata schema = new SchemaBuilder().add("a", MinorType.INT).add("b", MinorType.VARCHAR).buildSchema();
    ResultSetLoaderImpl.ResultSetOptions options = new OptionBuilder().setSchema(schema).setRowCountLimit(ValueVector.MAX_ROW_COUNT).build();
    ResultSetLoader rsLoader = new ResultSetLoaderImpl(fixture.allocator(), options);
    RowSetLoader rootWriter = rsLoader.writer();
    rsLoader.startBatch();
    for (int i = 0; i < 100; i++) {
        rootWriter.start();
        rootWriter.scalar("a").setInt(i);
        rootWriter.scalar("b").setString("b-" + i);
        rootWriter.save();
    }
    // Don't harvest the batch. Allocator will complain if the
    // loader does not release memory.
    rsLoader.close();
}

Example 17 with ResultSetLoader

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

the class TestResultSetLoaderMaps method testMapEvolution.

/**
 * Create schema with a map, then add columns to the map
 * after delivering the first batch. The new columns should appear
 * in the second-batch output.
 */
@Test
public void testMapEvolution() {
    TupleMetadata schema = new SchemaBuilder().add("a", MinorType.INT).addMap("m").add("b", MinorType.VARCHAR).resumeSchema().buildSchema();
    ResultSetLoaderImpl.ResultSetOptions options = new OptionBuilder().setSchema(schema).build();
    ResultSetLoader rsLoader = new ResultSetLoaderImpl(fixture.allocator(), options);
    assertEquals(3, rsLoader.schemaVersion());
    RowSetLoader rootWriter = rsLoader.writer();
    rsLoader.startBatch();
    rootWriter.addRow(10, objArray("fred")).addRow(20, objArray("barney"));
    RowSet actual = fixture.wrap(rsLoader.harvest());
    assertEquals(3, rsLoader.schemaVersion());
    assertEquals(2, actual.rowCount());
    // Validate first batch
    SingleRowSet expected = fixture.rowSetBuilder(schema).addRow(10, objArray("fred")).addRow(20, objArray("barney")).build();
    new RowSetComparison(expected).verifyAndClearAll(actual);
    // Add three columns in the second batch. One before
    // the batch starts, one before the first row, and one after
    // the first row.
    TupleWriter mapWriter = rootWriter.tuple("m");
    mapWriter.addColumn(SchemaBuilder.columnSchema("c", MinorType.INT, DataMode.REQUIRED));
    rsLoader.startBatch();
    mapWriter.addColumn(SchemaBuilder.columnSchema("d", MinorType.BIGINT, DataMode.REQUIRED));
    rootWriter.addRow(30, objArray("wilma", 130, 130_000L));
    mapWriter.addColumn(SchemaBuilder.columnSchema("e", MinorType.VARCHAR, DataMode.REQUIRED));
    rootWriter.addRow(40, objArray("betty", 140, 140_000L, "bam-bam"));
    actual = fixture.wrap(rsLoader.harvest());
    assertEquals(6, rsLoader.schemaVersion());
    assertEquals(2, actual.rowCount());
    // Validate first batch
    TupleMetadata expectedSchema = new SchemaBuilder().add("a", MinorType.INT).addMap("m").add("b", MinorType.VARCHAR).add("c", MinorType.INT).add("d", MinorType.BIGINT).add("e", MinorType.VARCHAR).resumeSchema().buildSchema();
    expected = fixture.rowSetBuilder(expectedSchema).addRow(30, objArray("wilma", 130, 130_000L, "")).addRow(40, objArray("betty", 140, 140_000L, "bam-bam")).build();
    new RowSetComparison(expected).verifyAndClearAll(actual);
    rsLoader.close();
}

Example 18 with ResultSetLoader

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

the class TestResultSetLoaderMaps method testBasics.

@Test
public void testBasics() {
    TupleMetadata schema = new SchemaBuilder().add("a", MinorType.INT).addMap("m").add("c", MinorType.INT).add("d", MinorType.VARCHAR).resumeSchema().add("e", MinorType.VARCHAR).buildSchema();
    ResultSetLoaderImpl.ResultSetOptions options = new OptionBuilder().setSchema(schema).build();
    ResultSetLoader rsLoader = new ResultSetLoaderImpl(fixture.allocator(), options);
    RowSetLoader rootWriter = rsLoader.writer();
    // Verify structure and schema
    assertEquals(5, rsLoader.schemaVersion());
    TupleMetadata actualSchema = rootWriter.schema();
    assertEquals(3, actualSchema.size());
    assertTrue(actualSchema.metadata(1).isMap());
    assertEquals(2, actualSchema.metadata("m").mapSchema().size());
    assertEquals(2, actualSchema.column("m").getChildren().size());
    rsLoader.startBatch();
    // Write a row the way that clients will do.
    ScalarWriter aWriter = rootWriter.scalar("a");
    TupleWriter mWriter = rootWriter.tuple("m");
    ScalarWriter cWriter = mWriter.scalar("c");
    ScalarWriter dWriter = mWriter.scalar("d");
    ScalarWriter eWriter = rootWriter.scalar("e");
    rootWriter.start();
    aWriter.setInt(10);
    cWriter.setInt(110);
    dWriter.setString("fred");
    eWriter.setString("pebbles");
    rootWriter.save();
    try {
        mWriter.addColumn(SchemaBuilder.columnSchema("c", MinorType.INT, DataMode.OPTIONAL));
        fail();
    } catch (IllegalArgumentException e) {
    // Expected
    }
    // Write another using the test-time conveniences
    rootWriter.addRow(20, objArray(210, "barney"), "bam-bam");
    // Harvest the batch
    RowSet actual = fixture.wrap(rsLoader.harvest());
    assertEquals(5, rsLoader.schemaVersion());
    assertEquals(2, actual.rowCount());
    // Validate data
    SingleRowSet expected = fixture.rowSetBuilder(schema).addRow(10, objArray(110, "fred"), "pebbles").addRow(20, objArray(210, "barney"), "bam-bam").build();
    new RowSetComparison(expected).verifyAndClearAll(actual);
    rsLoader.close();
}

Example 19 with ResultSetLoader

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

the class TestResultSetLoaderMaps method testNestedMapsNullable.

/**
 * Create nested maps. Then, add columns to each map
 * on the fly. This time, with nullable types.
 */
@Test
public void testNestedMapsNullable() {
    TupleMetadata schema = new SchemaBuilder().add("a", MinorType.INT).addMap("m1").addNullable("b", MinorType.VARCHAR).addMap("m2").addNullable("c", MinorType.VARCHAR).resumeMap().resumeSchema().buildSchema();
    ResultSetLoaderImpl.ResultSetOptions options = new OptionBuilder().setSchema(schema).build();
    ResultSetLoader rsLoader = new ResultSetLoaderImpl(fixture.allocator(), options);
    RowSetLoader rootWriter = rsLoader.writer();
    rsLoader.startBatch();
    rootWriter.addRow(10, objArray("b1", objArray("c1")));
    // Validate first batch
    RowSet actual = fixture.wrap(rsLoader.harvest());
    SingleRowSet expected = fixture.rowSetBuilder(schema).addRow(10, objArray("b1", objArray("c1"))).build();
    // actual.print();
    // expected.print();
    new RowSetComparison(expected).verifyAndClearAll(actual);
    // Now add columns in the second batch.
    rsLoader.startBatch();
    rootWriter.addRow(20, objArray("b2", objArray("c2")));
    TupleWriter m1Writer = rootWriter.tuple("m1");
    m1Writer.addColumn(SchemaBuilder.columnSchema("d", MinorType.VARCHAR, DataMode.OPTIONAL));
    TupleWriter m2Writer = m1Writer.tuple("m2");
    m2Writer.addColumn(SchemaBuilder.columnSchema("e", MinorType.VARCHAR, DataMode.OPTIONAL));
    rootWriter.addRow(30, objArray("b3", objArray("c3", "e3"), "d3"));
    // And another set while the write proceeds.
    m1Writer.addColumn(SchemaBuilder.columnSchema("f", MinorType.VARCHAR, DataMode.OPTIONAL));
    m2Writer.addColumn(SchemaBuilder.columnSchema("g", MinorType.VARCHAR, DataMode.OPTIONAL));
    rootWriter.addRow(40, objArray("b4", objArray("c4", "e4", "g4"), "d4", "e4"));
    // Validate second batch
    actual = fixture.wrap(rsLoader.harvest());
    TupleMetadata expectedSchema = new SchemaBuilder().add("a", MinorType.INT).addMap("m1").addNullable("b", MinorType.VARCHAR).addMap("m2").addNullable("c", MinorType.VARCHAR).addNullable("e", MinorType.VARCHAR).addNullable("g", MinorType.VARCHAR).resumeMap().addNullable("d", MinorType.VARCHAR).addNullable("f", MinorType.VARCHAR).resumeSchema().buildSchema();
    expected = fixture.rowSetBuilder(expectedSchema).addRow(20, objArray("b2", objArray("c2", null, null), null, null)).addRow(30, objArray("b3", objArray("c3", "e3", null), "d3", null)).addRow(40, objArray("b4", objArray("c4", "e4", "g4"), "d4", "e4")).build();
    new RowSetComparison(expected).verifyAndClearAll(actual);
    rsLoader.close();
}

Example 20 with ResultSetLoader

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

the class TestResultSetLoaderMaps method testMapWithOverflow.

/**
 * Create a schema with a map, then trigger an overflow on one of the columns
 * in the map. Proper overflow handling should occur regardless of nesting
 * depth.
 */
@Test
public void testMapWithOverflow() {
    TupleMetadata schema = new SchemaBuilder().add("a", MinorType.INT).addMap("m1").add("b", MinorType.INT).addMap("m2").add("c", // Before overflow, written
    MinorType.INT).add("d", MinorType.VARCHAR).add("e", // After overflow, not yet written
    MinorType.INT).resumeMap().resumeSchema().buildSchema();
    ResultSetLoaderImpl.ResultSetOptions options = new OptionBuilder().setSchema(schema).setRowCountLimit(ValueVector.MAX_ROW_COUNT).build();
    ResultSetLoader rsLoader = new ResultSetLoaderImpl(fixture.allocator(), options);
    RowSetLoader rootWriter = rsLoader.writer();
    byte[] value = new byte[512];
    Arrays.fill(value, (byte) 'X');
    int count = 0;
    rsLoader.startBatch();
    while (!rootWriter.isFull()) {
        rootWriter.addRow(count, objArray(count * 10, objArray(count * 100, value, count * 1000)));
        count++;
    }
    // Our row count should include the overflow row
    int expectedCount = ValueVector.MAX_BUFFER_SIZE / value.length;
    assertEquals(expectedCount + 1, count);
    // Loader's row count should include only "visible" rows
    assertEquals(expectedCount, rootWriter.rowCount());
    // Total count should include invisible and look-ahead rows.
    assertEquals(expectedCount + 1, rsLoader.totalRowCount());
    // Result should exclude the overflow row
    RowSet result = fixture.wrap(rsLoader.harvest());
    assertEquals(expectedCount, result.rowCount());
    result.clear();
    // Next batch should start with the overflow row
    rsLoader.startBatch();
    assertEquals(1, rootWriter.rowCount());
    assertEquals(expectedCount + 1, rsLoader.totalRowCount());
    result = fixture.wrap(rsLoader.harvest());
    assertEquals(1, result.rowCount());
    result.clear();
    rsLoader.close();
}