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

Example 91 with ResultSetLoader

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

the class TestResultSetLoaderOverflow method testLargeArray.

/**
 * Create an array that contains more than 64K values. Drill has no numeric
 * limit on array lengths. (Well, it does, but the limit is about 2 billion
 * which, even for bytes, is too large to fit into a vector...)
 */
@Test
public void testLargeArray() {
    ResultSetLoader rsLoader = new ResultSetLoaderImpl(fixture.allocator());
    RowSetLoader rootWriter = rsLoader.writer();
    MaterializedField field = SchemaBuilder.columnSchema("a", MinorType.INT, DataMode.REPEATED);
    rootWriter.addColumn(field);
    // Create a single array as the column value in the first row. When
    // this overflows, an exception is thrown since overflow is not possible.
    rsLoader.startBatch();
    rootWriter.start();
    ScalarWriter array = rootWriter.array(0).scalar();
    try {
        for (int i = 0; i < Integer.MAX_VALUE; i++) {
            array.setInt(i + 1);
        }
        fail();
    } catch (UserException e) {
    // Expected
    }
    rsLoader.close();
}

Example 92 with ResultSetLoader

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

the class TestResultSetLoaderOverflow method testCloseWithOverflow.

/**
 * Load a batch to overflow. Then, close the loader with the overflow
 * batch unharvested. The Loader should release the memory allocated
 * to the unused overflow vectors.
 */
@Test
public void testCloseWithOverflow() {
    TupleMetadata schema = new SchemaBuilder().add("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();
    rsLoader.startBatch();
    byte[] value = new byte[512];
    Arrays.fill(value, (byte) 'X');
    int count = 0;
    while (!rootWriter.isFull()) {
        rootWriter.start();
        rootWriter.scalar(0).setBytes(value, value.length);
        rootWriter.save();
        count++;
    }
    assertTrue(count < ValueVector.MAX_ROW_COUNT);
    // Harvest the full batch
    VectorContainer container = rsLoader.harvest();
    BatchValidator.validate(container);
    RowSet result = fixture.wrap(container);
    result.clear();
    // Close without harvesting the overflow batch.
    rsLoader.close();
}

Example 93 with ResultSetLoader

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

the class TestResultSetLoaderOverflow method testOversizeArray.

/**
 * Case where a single array fills up the vector to the maximum size
 * limit. Overflow won't work here; the attempt will fail with a user
 * exception.
 */
@Test
public void testOversizeArray() {
    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();
    // Create a single array as the column value in the first row. When
    // this overflows, an exception is thrown since overflow is not possible.
    rsLoader.startBatch();
    byte[] value = new byte[473];
    Arrays.fill(value, (byte) 'X');
    rootWriter.start();
    ScalarWriter array = rootWriter.array(0).scalar();
    try {
        for (int i = 0; i < ValueVector.MAX_ROW_COUNT; i++) {
            array.setBytes(value, value.length);
        }
        fail();
    } catch (UserException e) {
        assertTrue(e.getMessage().contains("column value is larger than the maximum"));
    }
    rsLoader.close();
}

Example 94 with ResultSetLoader

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

the class TestResultSetLoaderOverflow method testBatchSizeLimit.

/**
 * Test that the writer detects a vector overflow. The offending column
 * value should be moved to the next batch.
 */
@Test
public void testBatchSizeLimit() {
    TupleMetadata schema = new SchemaBuilder().add("s", MinorType.VARCHAR).buildSchema();
    ResultSetOptions options = new ResultSetOptionBuilder().rowCountLimit(ValueVector.MAX_ROW_COUNT).readerSchema(schema).batchSizeLimit(// Data
    8 * 1024 * 1024 + // Offsets, doubled because of +1
    2 * ValueVector.MAX_ROW_COUNT * 4).build();
    ResultSetLoader rsLoader = new ResultSetLoaderImpl(fixture.allocator(), options);
    RowSetLoader rootWriter = rsLoader.writer();
    rsLoader.startBatch();
    byte[] value = new byte[512];
    Arrays.fill(value, (byte) 'X');
    // Our row count should include the overflow row
    int expectedCount = 8 * 1024 * 1024 / value.length;
    // First batch, with overflow
    {
        int count = 0;
        while (!rootWriter.isFull()) {
            rootWriter.start();
            rootWriter.scalar(0).setBytes(value, value.length);
            rootWriter.save();
            count++;
        }
        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
        VectorContainer container = rsLoader.harvest();
        BatchValidator.validate(container);
        RowSet result = fixture.wrap(container);
        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());
        VectorContainer container = rsLoader.harvest();
        BatchValidator.validate(container);
        RowSet result = fixture.wrap(container);
        assertEquals(1, result.rowCount());
        result.clear();
    }
    rsLoader.close();
}

Example 95 with ResultSetLoader

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

the class TestResultSetLoaderOverflow method testVectorSizeLimit.

/**
 * Test that the writer detects a vector overflow. The offending column
 * value should be moved to the next batch.
 */
@Test
public void testVectorSizeLimit() {
    TupleMetadata schema = new SchemaBuilder().add("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();
    rsLoader.startBatch();
    byte[] value = new byte[512];
    Arrays.fill(value, (byte) 'X');
    // Number of rows should be driven by vector size.
    // Our row count should include the overflow row
    int expectedCount = ValueVector.MAX_BUFFER_SIZE / value.length;
    {
        int count = 0;
        while (!rootWriter.isFull()) {
            rootWriter.start();
            rootWriter.scalar(0).setBytes(value, value.length);
            rootWriter.save();
            count++;
        }
        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
        VectorContainer container = rsLoader.harvest();
        BatchValidator.validate(container);
        RowSet result = fixture.wrap(container);
        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());
        VectorContainer container = rsLoader.harvest();
        BatchValidator.validate(container);
        RowSet result = fixture.wrap(container);
        assertEquals(1, result.rowCount());
        result.clear();
    }
    rsLoader.close();
}