Examples with TupleMetadata org.apache.drill.exec.record.metadata.TupleMetadata used on opensource projects

Example 61 with TupleMetadata

use of org.apache.drill.exec.record.metadata.TupleMetadata in project drill by apache.

the class TestNullColumnLoader method testCustomNullType.

/**
 * Test the ability to use a type other than nullable INT for null
 * columns. This occurs, for example, in the CSV reader where no
 * column is ever INT (nullable or otherwise) and we want our null
 * columns to be (non-nullable) VARCHAR.
 */
@Test
public void testCustomNullType() {
    final List<ResolvedNullColumn> defns = new ArrayList<>();
    defns.add(makeNullCol("unspecified", null));
    defns.add(makeNullCol("nullType", MajorType.newBuilder().setMinorType(MinorType.NULL).setMode(DataMode.OPTIONAL).build()));
    // Null required is an oxymoron, so is not tested.
    // Null type array does not make sense, so is not tested.
    final ResultVectorCache cache = new NullResultVectorCacheImpl(fixture.allocator());
    final MajorType nullType = MajorType.newBuilder().setMinorType(MinorType.VARCHAR).setMode(DataMode.OPTIONAL).build();
    final NullColumnLoader staticLoader = new NullColumnLoader(cache, defns, nullType, false);
    // Create a batch
    final VectorContainer output = staticLoader.load(2);
    // Verify values and types
    final TupleMetadata expectedSchema = new SchemaBuilder().add("unspecified", nullType).add("nullType", nullType).buildSchema();
    final SingleRowSet expected = fixture.rowSetBuilder(expectedSchema).addRow(null, null).addRow(null, null).build();
    RowSetUtilities.verify(expected, fixture.wrap(output));
    staticLoader.close();
}

Example 62 with TupleMetadata

use of org.apache.drill.exec.record.metadata.TupleMetadata in project drill by apache.

the class TestNullColumnLoader method testDefaultValue.

/**
 * Test the ability to provide a default value for a "null" column.
 * Default values are only allowed for required "null" columns. For
 * nullable columns, NULL is already the default.
 */
@Test
public void testDefaultValue() {
    final List<ResolvedNullColumn> defns = new ArrayList<>();
    defns.add(makeNullCol("int", Types.required(MinorType.INT), "10"));
    defns.add(makeNullCol("str", Types.required(MinorType.VARCHAR), "foo"));
    defns.add(makeNullCol("dub", Types.required(MinorType.FLOAT8), "20.0"));
    final ResultVectorCache cache = new NullResultVectorCacheImpl(fixture.allocator());
    final MajorType nullType = Types.optional(MinorType.VARCHAR);
    final NullColumnLoader staticLoader = new NullColumnLoader(cache, defns, nullType, false);
    // Create a batch
    final VectorContainer output = staticLoader.load(2);
    // Verify values and types
    final TupleMetadata expectedSchema = new SchemaBuilder().add("int", MinorType.INT).add("str", MinorType.VARCHAR).add("dub", MinorType.FLOAT8).buildSchema();
    final SingleRowSet expected = fixture.rowSetBuilder(expectedSchema).addRow(10, "foo", 20.0D).addRow(10, "foo", 20.0D).build();
    RowSetUtilities.verify(expected, fixture.wrap(output));
    staticLoader.close();
}

Example 63 with TupleMetadata

use of org.apache.drill.exec.record.metadata.TupleMetadata in project drill by apache.

the class TestNullColumnLoader method testCachedTypesMapToNullable.

/**
 * Drill requires "schema persistence": if a scan operator
 * reads two files, F1 and F2, then the scan operator must
 * provide the same vectors from both readers. Not just the
 * same types, the same value vector instances (but, of course,
 * populated with different data.)
 * <p>
 * Test the case in which the reader for F1 found columns
 * (a, b, c) but, F2 found only (a, b), requiring that we
 * fill in column c, filled with nulls, but of the same type that it
 * was in file F1. We use a vector cache to pull off this trick.
 * This test ensures that the null column mechanism looks in that
 * vector cache when asked to create a nullable column.
 */
@Test
public void testCachedTypesMapToNullable() {
    final List<ResolvedNullColumn> defns = new ArrayList<>();
    defns.add(makeNullCol("req"));
    defns.add(makeNullCol("opt"));
    defns.add(makeNullCol("rep"));
    defns.add(makeNullCol("unk"));
    // Populate the cache with a column of each mode.
    final ResultVectorCacheImpl cache = new ResultVectorCacheImpl(fixture.allocator());
    cache.vectorFor(SchemaBuilder.columnSchema("req", MinorType.FLOAT8, DataMode.REQUIRED));
    final ValueVector opt = cache.vectorFor(SchemaBuilder.columnSchema("opt", MinorType.FLOAT8, DataMode.OPTIONAL));
    final ValueVector rep = cache.vectorFor(SchemaBuilder.columnSchema("rep", MinorType.FLOAT8, DataMode.REPEATED));
    // Use nullable Varchar for unknown null columns.
    final MajorType nullType = Types.optional(MinorType.VARCHAR);
    final NullColumnLoader staticLoader = new NullColumnLoader(cache, defns, nullType, false);
    // Create a batch
    final VectorContainer output = staticLoader.load(2);
    // Verify vectors are reused
    assertSame(opt, output.getValueVector(1).getValueVector());
    assertSame(rep, output.getValueVector(2).getValueVector());
    // Verify values and types
    final TupleMetadata expectedSchema = new SchemaBuilder().addNullable("req", MinorType.FLOAT8).addNullable("opt", MinorType.FLOAT8).addArray("rep", MinorType.FLOAT8).addNullable("unk", MinorType.VARCHAR).buildSchema();
    final SingleRowSet expected = fixture.rowSetBuilder(expectedSchema).addRow(null, null, new int[] {}, null).addRow(null, null, new int[] {}, null).build();
    RowSetUtilities.verify(expected, fixture.wrap(output));
    staticLoader.close();
}

Example 64 with TupleMetadata

use of org.apache.drill.exec.record.metadata.TupleMetadata in project drill by apache.

the class TestNullColumnLoader method testSchemaWithConflicts.

/**
 * Test the various conflicts that can occur:
 * <ul>
 * <li>Schema is required, but no default value for null column.</li>
 * <li>Query wants a different type than that in the schema.</li>
 * <li>Query wants a different mode than that in the schema.</li>
 * <ul>
 *
 * The type and mode provided to the builder is that which would result from
 * schema smoothing. The types and modes should usually match, but verify
 * the rules when they don't.
 * <p>
 * Defaults for null columns are ignored: null columns use NULL as the
 * null value.
 */
@Test
public void testSchemaWithConflicts() {
    // Note: upper case names in schema, lower case in "projection" list
    final TupleMetadata outputSchema = new SchemaBuilder().add("IntReq", MinorType.INT).add("StrReq", // No default
    MinorType.VARCHAR).addNullable("IntOpt", MinorType.INT).addNullable("StrOpt", MinorType.VARCHAR).buildSchema();
    outputSchema.metadata("intReq").setDefaultValue("10");
    outputSchema.metadata("intOpt").setDefaultValue("20");
    outputSchema.metadata("strOpt").setDefaultValue("bar");
    final ResultVectorCache cache = new NullResultVectorCacheImpl(fixture.allocator());
    final NullColumnBuilder builder = new NullBuilderBuilder().setNullType(Types.optional(MinorType.VARCHAR)).setOutputSchema(outputSchema).build();
    // Defined, required, no default so --> optional
    builder.add("strReq");
    builder.add("strOpt");
    // Defined, has default, but conflicting type, so default --> null, so --> optional
    builder.add("intReq", Types.required(MinorType.BIGINT));
    // Defined, has default, conflicting mode, so keep default
    builder.add("intOpt", Types.required(MinorType.INT));
    builder.build(cache);
    // Create a batch
    builder.load(2);
    // Verify values and types
    final TupleMetadata expectedSchema = new SchemaBuilder().addNullable("strReq", MinorType.VARCHAR).addNullable("strOpt", MinorType.VARCHAR).addNullable("intReq", MinorType.BIGINT).add("intOpt", MinorType.INT).buildSchema();
    final SingleRowSet expected = fixture.rowSetBuilder(expectedSchema).addRow(null, null, null, 20).addRow(null, null, null, 20).build();
    RowSetUtilities.verify(expected, fixture.wrap(builder.output()));
    builder.close();
}

Example 65 with TupleMetadata

use of org.apache.drill.exec.record.metadata.TupleMetadata in project drill by apache.

the class TestNullColumnLoader method testNullColumnBuilderWithSchema.

/**
 * Test using an output schema, along with a default value property,
 * to define a default value for missing columns.
 */
@Test
public void testNullColumnBuilderWithSchema() {
    // Note: upper case names in schema, lower case in "projection" list
    final TupleMetadata outputSchema = new SchemaBuilder().add("IntReq", MinorType.INT).add("StrReq", MinorType.VARCHAR).addNullable("IntOpt", MinorType.INT).addNullable("StrOpt", MinorType.VARCHAR).addNullable("DubOpt", // No default
    MinorType.FLOAT8).buildSchema();
    outputSchema.metadata("intReq").setDefaultValue("10");
    outputSchema.metadata("strReq").setDefaultValue("foo");
    outputSchema.metadata("intOpt").setDefaultValue("20");
    outputSchema.metadata("strOpt").setDefaultValue("bar");
    final ResultVectorCache cache = new NullResultVectorCacheImpl(fixture.allocator());
    final NullColumnBuilder builder = new NullBuilderBuilder().setNullType(Types.optional(MinorType.VARCHAR)).setOutputSchema(outputSchema).build();
    builder.add("strReq");
    builder.add("strOpt");
    builder.add("dubOpt");
    builder.add("intReq");
    builder.add("intOpt");
    builder.add("extra");
    builder.build(cache);
    // Create a batch
    builder.load(2);
    // Verify values and types
    final TupleMetadata expectedSchema = new SchemaBuilder().add("strReq", MinorType.VARCHAR).addNullable("strOpt", MinorType.VARCHAR).addNullable("dubOpt", MinorType.FLOAT8).add("intReq", MinorType.INT).addNullable("intOpt", MinorType.INT).addNullable("extra", MinorType.VARCHAR).buildSchema();
    final SingleRowSet expected = fixture.rowSetBuilder(expectedSchema).addRow("foo", null, null, 10, null, null).addRow("foo", null, null, 10, null, null).build();
    RowSetUtilities.verify(expected, fixture.wrap(builder.output()));
    builder.close();
}