use of org.apache.drill.exec.physical.rowSet.RowSet.HyperRowSet in project drill by apache.
the class TestHyperVectorReaders method testVarWidth.
@Test
public void testVarWidth() {
TupleMetadata schema = new SchemaBuilder().add("a", MinorType.VARCHAR).buildSchema();
SingleRowSet rowSet1 = fixture.rowSetBuilder(schema).addSingleCol("second").addSingleCol("fourth").build();
SingleRowSet rowSet2 = fixture.rowSetBuilder(schema).addSingleCol("first").addSingleCol("third").build();
// Build the hyper batch
HyperRowSet hyperSet = HyperRowSetImpl.fromRowSets(fixture.allocator(), rowSet1, rowSet2);
assertEquals(4, hyperSet.rowCount());
SelectionVector4 sv4 = hyperSet.getSv4();
sv4.set(0, 1, 0);
sv4.set(1, 0, 0);
sv4.set(2, 1, 1);
sv4.set(3, 0, 1);
SingleRowSet expected = fixture.rowSetBuilder(schema).addRow("first").addRow("second").addRow("third").addRow("fourth").build();
RowSetUtilities.verify(expected, hyperSet);
}
use of org.apache.drill.exec.physical.rowSet.RowSet.HyperRowSet in project drill by apache.
the class TestHyperVectorReaders method testRequired.
/**
* Test the simplest case: a top-level required vector. Has no contained vectors.
* This test focuses on the SV4 indirection mechanism itself.
*/
@Test
public void testRequired() {
TupleMetadata schema = new SchemaBuilder().add("a", MinorType.INT).buildSchema();
SingleRowSet rowSet1;
{
ExtendableRowSet rowSet = fixture.rowSet(schema);
RowSetWriter writer = rowSet.writer();
for (int i = 0; i < 10; i++) {
writer.scalar(0).setInt(i * 10);
writer.save();
}
rowSet1 = writer.done();
}
SingleRowSet rowSet2;
{
ExtendableRowSet rowSet = fixture.rowSet(schema);
RowSetWriter writer = rowSet.writer();
for (int i = 10; i < 20; i++) {
writer.scalar(0).setInt(i * 10);
writer.save();
}
rowSet2 = writer.done();
}
// Build the hyper batch
// [0, 10, 20, ... 190]
HyperRowSet hyperSet = HyperRowSetImpl.fromRowSets(fixture.allocator(), rowSet1, rowSet2);
assertEquals(20, hyperSet.rowCount());
// Populate the indirection vector:
// (1, 9), (0, 9), (1, 8), (0, 8), ... (0, 0)
SelectionVector4 sv4 = hyperSet.getSv4();
for (int i = 0; i < 20; i++) {
int batch = i % 2;
int offset = 9 - i / 2;
sv4.set(i, batch, offset);
}
// Sanity check.
for (int i = 0; i < 20; i++) {
int batch = i % 2;
int offset = 9 - i / 2;
int encoded = sv4.get(i);
assertEquals(batch, SelectionVector4.getBatchIndex(encoded));
assertEquals(offset, SelectionVector4.getRecordIndex(encoded));
}
// Verify reader
// Expected: [190, 90, 180, 80, ... 0]
RowSetReader reader = hyperSet.reader();
for (int i = 0; i < 20; i++) {
assertTrue(reader.next());
int batch = i % 2;
int offset = 9 - i / 2;
int expected = batch * 100 + offset * 10;
assertEquals(expected, reader.scalar(0).getInt());
}
assertFalse(reader.next());
// Validate using an expected result set.
RowSetBuilder rsBuilder = fixture.rowSetBuilder(schema);
for (int i = 0; i < 20; i++) {
int batch = i % 2;
int offset = 9 - i / 2;
int expected = batch * 100 + offset * 10;
rsBuilder.addRow(expected);
}
RowSetUtilities.verify(rsBuilder.build(), hyperSet);
}
use of org.apache.drill.exec.physical.rowSet.RowSet.HyperRowSet in project drill by apache.
the class TestHyperVectorReaders method testUnion.
@Test
public void testUnion() {
TupleMetadata schema = new SchemaBuilder().add("a", MinorType.INT).addUnion("u").addType(MinorType.INT).addType(MinorType.VARCHAR).resumeSchema().buildSchema();
SingleRowSet rowSet1 = fixture.rowSetBuilder(schema).addRow(2, 20).addRow(4, "fourth").build();
SingleRowSet rowSet2 = fixture.rowSetBuilder(schema).addRow(1, "first").addRow(3, 30).build();
// Build the hyper batch
HyperRowSet hyperSet = HyperRowSetImpl.fromRowSets(fixture.allocator(), rowSet1, rowSet2);
assertEquals(4, hyperSet.rowCount());
SelectionVector4 sv4 = hyperSet.getSv4();
sv4.set(0, 1, 0);
sv4.set(1, 0, 0);
sv4.set(2, 1, 1);
sv4.set(3, 0, 1);
SingleRowSet expected = fixture.rowSetBuilder(schema).addRow(1, "first").addRow(2, 20).addRow(3, 30).addRow(4, "fourth").build();
RowSetUtilities.verify(expected, hyperSet);
}
use of org.apache.drill.exec.physical.rowSet.RowSet.HyperRowSet in project drill by apache.
the class TestHyperVectorReaders method testUnionList.
@Test
public void testUnionList() {
TupleMetadata schema = new SchemaBuilder().add("a", MinorType.INT).addList("list").addType(MinorType.INT).addType(MinorType.VARCHAR).resumeSchema().buildSchema();
SingleRowSet rowSet1 = fixture.rowSetBuilder(schema).addRow(6, variantArray("sixth", 61, "6.2")).addRow(2, variantArray("second", "2.1", 22, "2.3")).addRow(4, variantArray("fourth", 41)).build();
SingleRowSet rowSet2 = fixture.rowSetBuilder(schema).addRow(5, variantArray("fifth", "5.1", 52)).addRow(1, variantArray("first", 11, "1.2", 13)).addRow(3, variantArray("third", 31)).build();
// Build the hyper batch
HyperRowSet hyperSet = HyperRowSetImpl.fromRowSets(fixture.allocator(), rowSet1, rowSet2);
assertEquals(6, hyperSet.rowCount());
SelectionVector4 sv4 = hyperSet.getSv4();
sv4.set(0, 1, 1);
sv4.set(1, 0, 1);
sv4.set(2, 1, 2);
sv4.set(3, 0, 2);
sv4.set(4, 1, 0);
sv4.set(5, 0, 0);
SingleRowSet expected = fixture.rowSetBuilder(schema).addRow(1, variantArray("first", 11, "1.2", 13)).addRow(2, variantArray("second", "2.1", 22, "2.3")).addRow(3, variantArray("third", 31)).addRow(4, variantArray("fourth", 41)).addRow(5, variantArray("fifth", "5.1", 52)).addRow(6, variantArray("sixth", 61, "6.2")).build();
RowSetUtilities.verify(expected, hyperSet);
}
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