use of org.apache.drill.exec.physical.rowSet.RowSetLoader in project drill by axbaretto.
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 OptionBuilder().setRowCountLimit(ValueVector.MAX_ROW_COUNT).setSchema(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
RowSet result = fixture.wrap(rsLoader.harvest());
result.clear();
// Close without harvesting the overflow batch.
rsLoader.close();
}
use of org.apache.drill.exec.physical.rowSet.RowSetLoader in project drill by axbaretto.
the class TestResultSetLoaderProjection method testProjectionDynamic.
@Test
public void testProjectionDynamic() {
List<SchemaPath> selection = Lists.newArrayList(SchemaPath.getSimplePath("c"), SchemaPath.getSimplePath("b"), SchemaPath.getSimplePath("e"));
ResultSetOptions options = new OptionBuilder().setProjection(selection).build();
ResultSetLoader rsLoader = new ResultSetLoaderImpl(fixture.allocator(), options);
RowSetLoader rootWriter = rsLoader.writer();
rootWriter.addColumn(SchemaBuilder.columnSchema("a", MinorType.INT, DataMode.REQUIRED));
rootWriter.addColumn(SchemaBuilder.columnSchema("b", MinorType.INT, DataMode.REQUIRED));
rootWriter.addColumn(SchemaBuilder.columnSchema("c", MinorType.INT, DataMode.REQUIRED));
rootWriter.addColumn(SchemaBuilder.columnSchema("d", MinorType.INT, DataMode.REQUIRED));
doProjectionTest(rsLoader);
}
use of org.apache.drill.exec.physical.rowSet.RowSetLoader 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();
}
use of org.apache.drill.exec.physical.rowSet.RowSetLoader in project drill by axbaretto.
the class TestResultSetLoaderProtocol method testCaseInsensitiveSchema.
/**
* Schemas are case insensitive by default. Verify that
* the schema mechanism works, with emphasis on the
* case insensitive case.
* <p>
* The tests here and elsewhere build columns from a
* <tt>MaterializedField</tt>. Doing so is rather old-school;
* better to use the newer <tt>ColumnMetadata</tt> which provides
* additional information. The code here simply uses the <tt>MaterializedField</tt>
* to create a <tt>ColumnMetadata</tt> implicitly.
*/
@Test
public void testCaseInsensitiveSchema() {
ResultSetLoader rsLoader = new ResultSetLoaderImpl(fixture.allocator());
RowSetLoader rootWriter = rsLoader.writer();
TupleMetadata schema = rootWriter.schema();
assertEquals(0, rsLoader.schemaVersion());
// No columns defined in schema
assertNull(schema.metadata("a"));
try {
schema.column(0);
fail();
} catch (IndexOutOfBoundsException e) {
// Expected
}
try {
rootWriter.column("a");
fail();
} catch (UndefinedColumnException e) {
// Expected
}
try {
rootWriter.column(0);
fail();
} catch (IndexOutOfBoundsException e) {
// Expected
}
// Define a column
assertEquals(0, rsLoader.schemaVersion());
MaterializedField colSchema = SchemaBuilder.columnSchema("a", MinorType.VARCHAR, DataMode.REQUIRED);
rootWriter.addColumn(colSchema);
assertEquals(1, rsLoader.schemaVersion());
// Can now be found, case insensitive
assertTrue(colSchema.isEquivalent(schema.column(0)));
ColumnMetadata colMetadata = schema.metadata(0);
assertSame(colMetadata, schema.metadata("a"));
assertSame(colMetadata, schema.metadata("A"));
assertNotNull(rootWriter.column(0));
assertNotNull(rootWriter.column("a"));
assertNotNull(rootWriter.column("A"));
assertEquals(1, schema.size());
assertEquals(0, schema.index("a"));
assertEquals(0, schema.index("A"));
try {
rootWriter.addColumn(colSchema);
fail();
} catch (IllegalArgumentException e) {
// Expected
}
try {
MaterializedField testCol = SchemaBuilder.columnSchema("A", MinorType.VARCHAR, DataMode.REQUIRED);
rootWriter.addColumn(testCol);
fail();
} catch (IllegalArgumentException e) {
// Expected
assertTrue(e.getMessage().contains("Duplicate"));
}
// Can still add required fields while writing the first row.
rsLoader.startBatch();
rootWriter.start();
rootWriter.scalar(0).setString("foo");
MaterializedField col2 = SchemaBuilder.columnSchema("b", MinorType.VARCHAR, DataMode.REQUIRED);
rootWriter.addColumn(col2);
assertTrue(col2.isEquivalent(schema.column(1)));
ColumnMetadata col2Metadata = schema.metadata(1);
assertSame(col2Metadata, schema.metadata("b"));
assertSame(col2Metadata, schema.metadata("B"));
assertEquals(2, schema.size());
assertEquals(1, schema.index("b"));
assertEquals(1, schema.index("B"));
rootWriter.scalar(1).setString("second");
// After first row, can add an optional or repeated.
// Also allows a required field: values will be back-filled.
rootWriter.save();
rootWriter.start();
rootWriter.scalar(0).setString("bar");
rootWriter.scalar(1).setString("");
MaterializedField col3 = SchemaBuilder.columnSchema("c", MinorType.VARCHAR, DataMode.REQUIRED);
rootWriter.addColumn(col3);
assertTrue(col3.isEquivalent(schema.column(2)));
ColumnMetadata col3Metadata = schema.metadata(2);
assertSame(col3Metadata, schema.metadata("c"));
assertSame(col3Metadata, schema.metadata("C"));
assertEquals(3, schema.size());
assertEquals(2, schema.index("c"));
assertEquals(2, schema.index("C"));
rootWriter.scalar("c").setString("c.2");
MaterializedField col4 = SchemaBuilder.columnSchema("d", MinorType.VARCHAR, DataMode.OPTIONAL);
rootWriter.addColumn(col4);
assertTrue(col4.isEquivalent(schema.column(3)));
ColumnMetadata col4Metadata = schema.metadata(3);
assertSame(col4Metadata, schema.metadata("d"));
assertSame(col4Metadata, schema.metadata("D"));
assertEquals(4, schema.size());
assertEquals(3, schema.index("d"));
assertEquals(3, schema.index("D"));
rootWriter.scalar("d").setString("d.2");
MaterializedField col5 = SchemaBuilder.columnSchema("e", MinorType.VARCHAR, DataMode.REPEATED);
rootWriter.addColumn(col5);
assertTrue(col5.isEquivalent(schema.column(4)));
ColumnMetadata col5Metadata = schema.metadata(4);
assertSame(col5Metadata, schema.metadata("e"));
assertSame(col5Metadata, schema.metadata("E"));
assertEquals(5, schema.size());
assertEquals(4, schema.index("e"));
assertEquals(4, schema.index("E"));
rootWriter.array(4).set("e1", "e2", "e3");
rootWriter.save();
// Verify. No reason to expect problems, but might as well check.
RowSet result = fixture.wrap(rsLoader.harvest());
assertEquals(5, rsLoader.schemaVersion());
SingleRowSet expected = fixture.rowSetBuilder(result.batchSchema()).addRow("foo", "second", "", null, strArray()).addRow("bar", "", "c.2", "d.2", strArray("e1", "e2", "e3")).build();
new RowSetComparison(expected).verifyAndClearAll(result);
// Handy way to test that close works to abort an in-flight batch
// and clean up.
rsLoader.close();
}
use of org.apache.drill.exec.physical.rowSet.RowSetLoader in project drill by axbaretto.
the class TestResultSetLoaderProtocol method testInitialSchema.
/**
* Provide a schema up front to the loader; schema is built before
* the first row.
* <p>
* Also verifies the test-time method to set a row of values using
* a single method.
*/
@Test
public void testInitialSchema() {
TupleMetadata schema = new SchemaBuilder().add("a", MinorType.INT).addNullable("b", MinorType.INT).add("c", MinorType.VARCHAR).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, 100, "fred").addRow(20, null, "barney").addRow(30, 300, "wilma");
RowSet actual = fixture.wrap(rsLoader.harvest());
RowSet expected = fixture.rowSetBuilder(schema).addRow(10, 100, "fred").addRow(20, null, "barney").addRow(30, 300, "wilma").build();
new RowSetComparison(expected).verifyAndClearAll(actual);
rsLoader.close();
}
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