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Example 1 with RowSetReader

use of org.apache.drill.test.rowSet.RowSetReader in project drill by axbaretto.

the class TestResultSetLoaderMapArray method testOverwriteRow.

/**
 * Version of the {#link TestResultSetLoaderProtocol#testOverwriteRow()} test
 * that uses nested columns inside an array of maps. Here we must call
 * <tt>start()</tt> to reset the array back to the initial start position after
 * each "discard."
 */
@Test
public void testOverwriteRow() {
    TupleMetadata schema = new SchemaBuilder().add("a", MinorType.INT).addMapArray("m").add("b", MinorType.INT).add("c", MinorType.VARCHAR).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();
    // Can't use the shortcut to populate rows when doing overwrites.
    ScalarWriter aWriter = rootWriter.scalar("a");
    ArrayWriter maWriter = rootWriter.array("m");
    TupleWriter mWriter = maWriter.tuple();
    ScalarWriter bWriter = mWriter.scalar("b");
    ScalarWriter cWriter = mWriter.scalar("c");
    // 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 < 10_000) {
        rootWriter.start();
        count++;
        aWriter.setInt(count);
        for (int i = 0; i < 10; i++) {
            bWriter.setInt(count * 10 + i);
            cWriter.setBytes(value, value.length);
            maWriter.save();
        }
        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();
    ArrayReader maReader = reader.array("m");
    TupleReader mReader = maReader.tuple();
    int rowId = 1;
    while (reader.next()) {
        assertEquals(rowId * 100, reader.scalar("a").getInt());
        assertEquals(10, maReader.size());
        for (int i = 0; i < 10; i++) {
            maReader.setPosn(i);
            assertEquals(rowId * 1000 + i, mReader.scalar("b").getInt());
            assertTrue(Arrays.equals(value, mReader.scalar("c").getBytes()));
        }
        rowId++;
    }
    result.clear();
    rsLoader.close();
}
Also used : TupleReader(org.apache.drill.exec.vector.accessor.TupleReader) SingleRowSet(org.apache.drill.test.rowSet.RowSet.SingleRowSet) RowSet(org.apache.drill.test.rowSet.RowSet) ArrayReader(org.apache.drill.exec.vector.accessor.ArrayReader) ResultSetLoader(org.apache.drill.exec.physical.rowSet.ResultSetLoader) TupleWriter(org.apache.drill.exec.vector.accessor.TupleWriter) TupleMetadata(org.apache.drill.exec.record.metadata.TupleMetadata) SchemaBuilder(org.apache.drill.test.rowSet.schema.SchemaBuilder) RowSetLoader(org.apache.drill.exec.physical.rowSet.RowSetLoader) ArrayWriter(org.apache.drill.exec.vector.accessor.ArrayWriter) RowSetReader(org.apache.drill.test.rowSet.RowSetReader) ScalarWriter(org.apache.drill.exec.vector.accessor.ScalarWriter) SubOperatorTest(org.apache.drill.test.SubOperatorTest) Test(org.junit.Test)

Example 2 with RowSetReader

use of org.apache.drill.test.rowSet.RowSetReader in project drill by axbaretto.

the class TestResultSetLoaderMaps method testOverwriteRow.

/**
 * Version of the {#link TestResultSetLoaderProtocol#testOverwriteRow()} test
 * that uses nested columns.
 */
@Test
public void testOverwriteRow() {
    TupleMetadata schema = new SchemaBuilder().add("a", MinorType.INT).addMap("m").add("b", MinorType.INT).add("c", MinorType.VARCHAR).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();
    // Can't use the shortcut to populate rows when doing overwrites.
    ScalarWriter aWriter = rootWriter.scalar("a");
    TupleWriter mWriter = rootWriter.tuple("m");
    ScalarWriter bWriter = mWriter.scalar("b");
    ScalarWriter cWriter = mWriter.scalar("c");
    // 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.setInt(count * 10);
        cWriter.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();
    TupleReader mReader = reader.tuple("m");
    int rowId = 1;
    while (reader.next()) {
        assertEquals(rowId * 100, reader.scalar("a").getInt());
        assertEquals(rowId * 1000, mReader.scalar("b").getInt());
        assertTrue(Arrays.equals(value, mReader.scalar("c").getBytes()));
        rowId++;
    }
    result.clear();
    rsLoader.close();
}
Also used : TupleReader(org.apache.drill.exec.vector.accessor.TupleReader) SingleRowSet(org.apache.drill.test.rowSet.RowSet.SingleRowSet) RowSet(org.apache.drill.test.rowSet.RowSet) ResultSetLoader(org.apache.drill.exec.physical.rowSet.ResultSetLoader) TupleWriter(org.apache.drill.exec.vector.accessor.TupleWriter) TupleMetadata(org.apache.drill.exec.record.metadata.TupleMetadata) SchemaBuilder(org.apache.drill.test.rowSet.schema.SchemaBuilder) RowSetLoader(org.apache.drill.exec.physical.rowSet.RowSetLoader) RowSetReader(org.apache.drill.test.rowSet.RowSetReader) ScalarWriter(org.apache.drill.exec.vector.accessor.ScalarWriter) SubOperatorTest(org.apache.drill.test.SubOperatorTest) Test(org.junit.Test)

Example 3 with RowSetReader

use of org.apache.drill.test.rowSet.RowSetReader in project drill by axbaretto.

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 OptionBuilder().setRowCountLimit(ValueVector.MAX_ROW_COUNT).setSchema(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 count = 0;
    int rowSize = 0;
    int totalSize = 0;
    int valuesPerArray = 13;
    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.
    RowSet result = fixture.wrap(rsLoader.harvest());
    assertEquals(expectedCount, result.rowCount());
    RowSetReader reader = result.reader();
    reader.set(expectedCount - 1);
    ScalarElementReader arrayReader = reader.column(0).elements();
    assertEquals(valuesPerArray, arrayReader.size());
    for (int i = 0; i < valuesPerArray; i++) {
        String cellValue = strValue + (count - 1) + "." + i;
        assertEquals(cellValue, arrayReader.getString(i));
    }
    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();
    // VectorPrinter.printStrings((VarCharVector) ((VarCharColumnWriter) rootWriter.array(0).scalar()).vector(), 0, 5);
    // ((ResultSetLoaderImpl) rsLoader).dump(new HierarchicalPrinter());
    assertEquals(1, rootWriter.rowCount());
    assertEquals(expectedCount + 1, rsLoader.totalRowCount());
    result = fixture.wrap(rsLoader.harvest());
    // VectorPrinter.printStrings((VarCharVector) ((VarCharColumnWriter) rootWriter.array(0).scalar()).vector(), 0, 5);
    assertEquals(1, result.rowCount());
    reader = result.reader();
    reader.next();
    arrayReader = reader.column(0).elements();
    assertEquals(valuesPerArray, arrayReader.size());
    for (int i = 0; i < valuesPerArray; i++) {
        String cellValue = strValue + (count) + "." + i;
        assertEquals(cellValue, arrayReader.getString(i));
    }
    result.clear();
    rsLoader.close();
}
Also used : ScalarElementReader(org.apache.drill.exec.vector.accessor.ScalarElementReader) RowSet(org.apache.drill.test.rowSet.RowSet) ResultSetOptions(org.apache.drill.exec.physical.rowSet.impl.ResultSetLoaderImpl.ResultSetOptions) ResultSetLoader(org.apache.drill.exec.physical.rowSet.ResultSetLoader) TupleMetadata(org.apache.drill.exec.record.metadata.TupleMetadata) SchemaBuilder(org.apache.drill.test.rowSet.schema.SchemaBuilder) RowSetLoader(org.apache.drill.exec.physical.rowSet.RowSetLoader) RowSetReader(org.apache.drill.test.rowSet.RowSetReader) ScalarWriter(org.apache.drill.exec.vector.accessor.ScalarWriter) SubOperatorTest(org.apache.drill.test.SubOperatorTest) Test(org.junit.Test)

Example 4 with RowSetReader

use of org.apache.drill.test.rowSet.RowSetReader in project drill by axbaretto.

the class TestResultSetLoaderProtocol method testOverwriteRow.

/**
 * The writer protocol allows a client to write to a row any number of times
 * before invoking <tt>save()</tt>. 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 OptionBuilder().setSchema(schema).setRowCountLimit(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();
}
Also used : ResultSetLoader(org.apache.drill.exec.physical.rowSet.ResultSetLoader) TupleMetadata(org.apache.drill.exec.record.metadata.TupleMetadata) SchemaBuilder(org.apache.drill.test.rowSet.schema.SchemaBuilder) SingleRowSet(org.apache.drill.test.rowSet.RowSet.SingleRowSet) RowSet(org.apache.drill.test.rowSet.RowSet) RowSetLoader(org.apache.drill.exec.physical.rowSet.RowSetLoader) RowSetReader(org.apache.drill.test.rowSet.RowSetReader) ScalarWriter(org.apache.drill.exec.vector.accessor.ScalarWriter) SubOperatorTest(org.apache.drill.test.SubOperatorTest) Test(org.junit.Test)

Example 5 with RowSetReader

use of org.apache.drill.test.rowSet.RowSetReader in project drill by axbaretto.

the class TestScalarAccessors method decimalArrayTester.

private void decimalArrayTester(MinorType type, int precision) {
    MajorType majorType = MajorType.newBuilder().setMinorType(type).setScale(3).setPrecision(precision).setMode(DataMode.REPEATED).build();
    BatchSchema batchSchema = new SchemaBuilder().add("col", majorType).build();
    BigDecimal v1 = BigDecimal.ZERO;
    BigDecimal v2 = BigDecimal.valueOf(123_456_789, 3);
    BigDecimal v3 = BigDecimal.TEN;
    SingleRowSet rs = fixture.rowSetBuilder(batchSchema).addSingleCol(new BigDecimal[] {}).addSingleCol(new BigDecimal[] { v1, v2, v3 }).build();
    assertEquals(2, rs.rowCount());
    RowSetReader reader = rs.reader();
    ScalarElementReader colReader = reader.elements(0);
    assertEquals(ValueType.DECIMAL, colReader.valueType());
    assertTrue(reader.next());
    assertEquals(0, colReader.size());
    assertTrue(reader.next());
    assertEquals(3, colReader.size());
    assertEquals(0, v1.compareTo(colReader.getDecimal(0)));
    assertEquals(0, v2.compareTo(colReader.getDecimal(1)));
    assertEquals(0, v3.compareTo(colReader.getDecimal(2)));
    assertEquals(0, v2.compareTo((BigDecimal) colReader.getObject(1)));
    assertEquals(v2.toString(), colReader.getAsString(1));
    assertFalse(reader.next());
    rs.clear();
}
Also used : SingleRowSet(org.apache.drill.test.rowSet.RowSet.SingleRowSet) BatchSchema(org.apache.drill.exec.record.BatchSchema) ScalarElementReader(org.apache.drill.exec.vector.accessor.ScalarElementReader) MajorType(org.apache.drill.common.types.TypeProtos.MajorType) SchemaBuilder(org.apache.drill.test.rowSet.schema.SchemaBuilder) RowSetReader(org.apache.drill.test.rowSet.RowSetReader) BigDecimal(java.math.BigDecimal)

Aggregations

RowSetReader (org.apache.drill.test.rowSet.RowSetReader)55 SchemaBuilder (org.apache.drill.test.rowSet.schema.SchemaBuilder)50 SingleRowSet (org.apache.drill.test.rowSet.RowSet.SingleRowSet)46 SubOperatorTest (org.apache.drill.test.SubOperatorTest)39 Test (org.junit.Test)39 BatchSchema (org.apache.drill.exec.record.BatchSchema)34 ScalarReader (org.apache.drill.exec.vector.accessor.ScalarReader)27 TupleMetadata (org.apache.drill.exec.record.metadata.TupleMetadata)17 ScalarElementReader (org.apache.drill.exec.vector.accessor.ScalarElementReader)17 RowSet (org.apache.drill.test.rowSet.RowSet)16 ScalarWriter (org.apache.drill.exec.vector.accessor.ScalarWriter)14 ResultSetLoader (org.apache.drill.exec.physical.rowSet.ResultSetLoader)12 RowSetLoader (org.apache.drill.exec.physical.rowSet.RowSetLoader)12 Period (org.joda.time.Period)9 TupleReader (org.apache.drill.exec.vector.accessor.TupleReader)7 TupleWriter (org.apache.drill.exec.vector.accessor.TupleWriter)7 ExtendableRowSet (org.apache.drill.test.rowSet.RowSet.ExtendableRowSet)7 RowSetWriter (org.apache.drill.test.rowSet.RowSetWriter)7 ResultSetOptions (org.apache.drill.exec.physical.rowSet.impl.ResultSetLoaderImpl.ResultSetOptions)5 RowSetComparison (org.apache.drill.test.rowSet.RowSetComparison)5