use of org.apache.drill.exec.record.metadata.SchemaBuilder in project drill by apache.
the class TestResultSetLoaderMapArray method testBasics.
@Test
public void testBasics() {
TupleMetadata schema = new SchemaBuilder().add("a", MinorType.INT).addMapArray("m").add("c", MinorType.INT).add("d", MinorType.VARCHAR).resumeSchema().buildSchema();
ResultSetLoaderImpl.ResultSetOptions options = new ResultSetOptionBuilder().readerSchema(schema).build();
ResultSetLoader rsLoader = new ResultSetLoaderImpl(fixture.allocator(), options);
RowSetLoader rootWriter = rsLoader.writer();
// Verify structure and schema
TupleMetadata actualSchema = rootWriter.tupleSchema();
assertEquals(2, actualSchema.size());
assertTrue(actualSchema.metadata(1).isArray());
assertTrue(actualSchema.metadata(1).isMap());
assertEquals(2, actualSchema.metadata("m").tupleSchema().size());
assertEquals(2, actualSchema.column("m").getChildren().size());
TupleWriter mapWriter = rootWriter.array("m").tuple();
assertSame(actualSchema.metadata("m").tupleSchema(), mapWriter.schema().tupleSchema());
assertSame(mapWriter.tupleSchema(), mapWriter.schema().tupleSchema());
assertSame(mapWriter.tupleSchema().metadata(0), mapWriter.scalar(0).schema());
assertSame(mapWriter.tupleSchema().metadata(1), mapWriter.scalar(1).schema());
// Write a couple of rows with arrays.
rsLoader.startBatch();
rootWriter.addRow(10, mapArray(mapValue(110, "d1.1"), mapValue(120, "d2.2"))).addRow(20, mapArray()).addRow(30, mapArray(mapValue(310, "d3.1"), mapValue(320, "d3.2"), mapValue(330, "d3.3")));
// Verify the first batch
RowSet actual = fixture.wrap(rsLoader.harvest());
RepeatedMapVector mapVector = (RepeatedMapVector) actual.container().getValueVector(1).getValueVector();
MaterializedField mapField = mapVector.getField();
assertEquals(2, mapField.getChildren().size());
Iterator<MaterializedField> iter = mapField.getChildren().iterator();
assertTrue(mapWriter.scalar(0).schema().schema().isEquivalent(iter.next()));
assertTrue(mapWriter.scalar(1).schema().schema().isEquivalent(iter.next()));
SingleRowSet expected = fixture.rowSetBuilder(schema).addRow(10, mapArray(mapValue(110, "d1.1"), mapValue(120, "d2.2"))).addRow(20, mapArray()).addRow(30, mapArray(mapValue(310, "d3.1"), mapValue(320, "d3.2"), mapValue(330, "d3.3"))).build();
RowSetUtilities.verify(expected, actual);
// In the second, create a row, then add a map member.
// Should be back-filled to empty for the first row.
rsLoader.startBatch();
rootWriter.addRow(40, mapArray(mapValue(410, "d4.1"), mapValue(420, "d4.2")));
mapWriter.addColumn(SchemaBuilder.columnSchema("e", MinorType.VARCHAR, DataMode.OPTIONAL));
rootWriter.addRow(50, mapArray(mapValue(510, "d5.1", "e5.1"), mapValue(520, "d5.2", null))).addRow(60, mapArray(mapValue(610, "d6.1", "e6.1"), mapValue(620, "d6.2", null), mapValue(630, "d6.3", "e6.3")));
// Verify the second batch
actual = fixture.wrap(rsLoader.harvest());
mapVector = (RepeatedMapVector) actual.container().getValueVector(1).getValueVector();
mapField = mapVector.getField();
assertEquals(3, mapField.getChildren().size());
TupleMetadata expectedSchema = new SchemaBuilder().add("a", MinorType.INT).addMapArray("m").add("c", MinorType.INT).add("d", MinorType.VARCHAR).addNullable("e", MinorType.VARCHAR).resumeSchema().buildSchema();
expected = fixture.rowSetBuilder(expectedSchema).addRow(40, mapArray(mapValue(410, "d4.1", null), mapValue(420, "d4.2", null))).addRow(50, mapArray(mapValue(510, "d5.1", "e5.1"), mapValue(520, "d5.2", null))).addRow(60, mapArray(mapValue(610, "d6.1", "e6.1"), mapValue(620, "d6.2", null), mapValue(630, "d6.3", "e6.3"))).build();
RowSetUtilities.verify(expected, actual);
rsLoader.close();
}
use of org.apache.drill.exec.record.metadata.SchemaBuilder in project drill by apache.
the class TestResultSetLoaderMapArray method testOmittedValues.
/**
* Check that the "fill-empties" logic descends down into
* a repeated map.
*/
@Test
public void testOmittedValues() {
TupleMetadata schema = new SchemaBuilder().add("id", MinorType.INT).addMapArray("m").addNullable("a", MinorType.INT).addNullable("b", MinorType.VARCHAR).resumeSchema().buildSchema();
ResultSetLoaderImpl.ResultSetOptions options = new ResultSetOptionBuilder().readerSchema(schema).rowCountLimit(ValueVector.MAX_ROW_COUNT).build();
ResultSetLoader rsLoader = new ResultSetLoaderImpl(fixture.allocator(), options);
RowSetLoader rootWriter = rsLoader.writer();
int mapSkip = 5;
int entrySkip = 3;
int rowCount = 1000;
int entryCount = 10;
rsLoader.startBatch();
ArrayWriter maWriter = rootWriter.array("m");
TupleWriter mWriter = maWriter.tuple();
for (int i = 0; i < rowCount; i++) {
rootWriter.start();
rootWriter.scalar(0).setInt(i);
if (i % mapSkip != 0) {
for (int j = 0; j < entryCount; j++) {
if (j % entrySkip != 0) {
mWriter.scalar(0).setInt(i * entryCount + j);
mWriter.scalar(1).setString("b-" + i + "." + j);
}
maWriter.save();
}
}
rootWriter.save();
}
RowSet result = fixture.wrap(rsLoader.harvest());
assertEquals(rowCount, result.rowCount());
RowSetReader reader = result.reader();
ArrayReader maReader = reader.array("m");
TupleReader mReader = maReader.tuple();
for (int i = 0; i < rowCount; i++) {
assertTrue(reader.next());
assertEquals(i, reader.scalar(0).getInt());
if (i % mapSkip == 0) {
assertEquals(0, maReader.size());
continue;
}
assertEquals(entryCount, maReader.size());
for (int j = 0; j < entryCount; j++) {
assertTrue(maReader.next());
if (j % entrySkip == 0) {
assertTrue(mReader.scalar(0).isNull());
assertTrue(mReader.scalar(1).isNull());
} else {
assertFalse(mReader.scalar(0).isNull());
assertFalse(mReader.scalar(1).isNull());
assertEquals(i * entryCount + j, mReader.scalar(0).getInt());
assertEquals("b-" + i + "." + j, mReader.scalar(1).getString());
}
}
}
result.clear();
rsLoader.close();
}
use of org.apache.drill.exec.record.metadata.SchemaBuilder in project drill by apache.
the class TestResultSetLoaderMapArray method testNestedArray.
@Test
public void testNestedArray() {
TupleMetadata schema = new SchemaBuilder().add("a", MinorType.INT).addMapArray("m").add("c", MinorType.INT).addArray("d", MinorType.VARCHAR).resumeSchema().buildSchema();
ResultSetLoaderImpl.ResultSetOptions options = new ResultSetOptionBuilder().readerSchema(schema).build();
ResultSetLoader rsLoader = new ResultSetLoaderImpl(fixture.allocator(), options);
RowSetLoader rootWriter = rsLoader.writer();
// Write a couple of rows with arrays within arrays.
// (And, of course, the Varchar is actually an array of
// bytes, so that's three array levels.)
rsLoader.startBatch();
rootWriter.addRow(10, mapArray(mapValue(110, strArray("d1.1.1", "d1.1.2")), mapValue(120, strArray("d1.2.1", "d1.2.2")))).addRow(20, mapArray()).addRow(30, mapArray(mapValue(310, strArray("d3.1.1", "d3.2.2")), mapValue(320, strArray()), mapValue(330, strArray("d3.3.1", "d1.2.2"))));
// Verify the batch
RowSet actual = fixture.wrap(rsLoader.harvest());
SingleRowSet expected = fixture.rowSetBuilder(schema).addRow(10, mapArray(mapValue(110, strArray("d1.1.1", "d1.1.2")), mapValue(120, strArray("d1.2.1", "d1.2.2")))).addRow(20, mapArray()).addRow(30, mapArray(mapValue(310, strArray("d3.1.1", "d3.2.2")), mapValue(320, strArray()), mapValue(330, strArray("d3.3.1", "d1.2.2")))).build();
RowSetUtilities.verify(expected, actual);
rsLoader.close();
}
use of org.apache.drill.exec.record.metadata.SchemaBuilder in project drill by apache.
the class TestResultSetLoaderMapArray method testDoubleNestedArray.
/**
* Test a doubly-nested array of maps.
*/
@Test
public void testDoubleNestedArray() {
TupleMetadata schema = new SchemaBuilder().add("a", MinorType.INT).addMapArray("m1").add("b", MinorType.INT).addMapArray("m2").add("c", MinorType.INT).addArray("d", MinorType.VARCHAR).resumeMap().resumeSchema().buildSchema();
ResultSetLoaderImpl.ResultSetOptions options = new ResultSetOptionBuilder().readerSchema(schema).build();
ResultSetLoader rsLoader = new ResultSetLoaderImpl(fixture.allocator(), options);
RowSetLoader rootWriter = rsLoader.writer();
rsLoader.startBatch();
ScalarWriter aWriter = rootWriter.scalar("a");
ArrayWriter a1Writer = rootWriter.array("m1");
TupleWriter m1Writer = a1Writer.tuple();
ScalarWriter bWriter = m1Writer.scalar("b");
ArrayWriter a2Writer = m1Writer.array("m2");
TupleWriter m2Writer = a2Writer.tuple();
ScalarWriter cWriter = m2Writer.scalar("c");
ScalarWriter dWriter = m2Writer.array("d").scalar();
for (int i = 0; i < 5; i++) {
rootWriter.start();
aWriter.setInt(i);
for (int j = 0; j < 4; j++) {
int a1Key = i + 10 + j;
bWriter.setInt(a1Key);
for (int k = 0; k < 3; k++) {
int a2Key = a1Key * 10 + k;
cWriter.setInt(a2Key);
for (int l = 0; l < 2; l++) {
dWriter.setString("d-" + (a2Key * 10 + l));
}
a2Writer.save();
}
a1Writer.save();
}
rootWriter.save();
}
RowSet results = fixture.wrap(rsLoader.harvest());
RowSetReader reader = results.reader();
ScalarReader aReader = reader.scalar("a");
ArrayReader a1Reader = reader.array("m1");
TupleReader m1Reader = a1Reader.tuple();
ScalarReader bReader = m1Reader.scalar("b");
ArrayReader a2Reader = m1Reader.array("m2");
TupleReader m2Reader = a2Reader.tuple();
ScalarReader cReader = m2Reader.scalar("c");
ArrayReader dArray = m2Reader.array("d");
ScalarReader dReader = dArray.scalar();
for (int i = 0; i < 5; i++) {
assertTrue(reader.next());
assertEquals(i, aReader.getInt());
for (int j = 0; j < 4; j++) {
assertTrue(a1Reader.next());
int a1Key = i + 10 + j;
assertEquals(a1Key, bReader.getInt());
for (int k = 0; k < 3; k++) {
assertTrue(a2Reader.next());
int a2Key = a1Key * 10 + k;
assertEquals(a2Key, cReader.getInt());
for (int l = 0; l < 2; l++) {
assertTrue(dArray.next());
assertEquals("d-" + (a2Key * 10 + l), dReader.getString());
}
}
}
}
rsLoader.close();
}
use of org.apache.drill.exec.record.metadata.SchemaBuilder in project drill by apache.
the class TestResultSetLoaderOmittedValues method testSkipRows.
/**
* Test that omitting the call to saveRow() effectively discards
* the row. Note that the vectors still contain values in the
* discarded position; just the various pointers are unset. If
* the batch ends before the discarded values are overwritten, the
* discarded values just exist at the end of the vector. Since vectors
* start with garbage contents, the discarded values are simply a different
* kind of garbage. But, if the client writes a new row, then the new
* row overwrites the discarded row. This works because we only change
* the tail part of a vector; never the internals.
*/
@Test
public void testSkipRows() {
TupleMetadata schema = new SchemaBuilder().add("a", MinorType.INT).addNullable("b", MinorType.VARCHAR).buildSchema();
ResultSetLoaderImpl.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();
int rowNumber = 0;
for (int i = 0; i < 14; i++) {
rootWriter.start();
rowNumber++;
rootWriter.scalar(0).setInt(rowNumber);
if (i % 3 == 0) {
rootWriter.scalar(1).setNull();
} else {
rootWriter.scalar(1).setString("b-" + rowNumber);
}
if (i % 2 == 0) {
rootWriter.save();
}
}
RowSet result = fixture.wrap(rsLoader.harvest());
// result.print();
SingleRowSet expected = fixture.rowSetBuilder(result.batchSchema()).addRow(1, null).addRow(3, "b-3").addRow(5, "b-5").addRow(7, null).addRow(9, "b-9").addRow(11, "b-11").addRow(13, null).build();
// expected.print();
RowSetUtilities.verify(expected, result);
rsLoader.close();
}
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