Examples with BooleanType org.apache.flink.table.types.logical.BooleanType used on opensource projects

Example 6 with BooleanType

use of org.apache.flink.table.types.logical.BooleanType in project flink by apache.

the class ArrowUtilsTest method init.

@BeforeClass
public static void init() {
    testFields = new ArrayList<>();
    testFields.add(Tuple5.of("f1", new TinyIntType(), new ArrowType.Int(8, true), TinyIntWriter.TinyIntWriterForRow.class, ArrowTinyIntColumnVector.class));
    testFields.add(Tuple5.of("f2", new SmallIntType(), new ArrowType.Int(8 * 2, true), SmallIntWriter.SmallIntWriterForRow.class, ArrowSmallIntColumnVector.class));
    testFields.add(Tuple5.of("f3", new IntType(), new ArrowType.Int(8 * 4, true), IntWriter.IntWriterForRow.class, ArrowIntColumnVector.class));
    testFields.add(Tuple5.of("f4", new BigIntType(), new ArrowType.Int(8 * 8, true), BigIntWriter.BigIntWriterForRow.class, ArrowBigIntColumnVector.class));
    testFields.add(Tuple5.of("f5", new BooleanType(), new ArrowType.Bool(), BooleanWriter.BooleanWriterForRow.class, ArrowBooleanColumnVector.class));
    testFields.add(Tuple5.of("f6", new FloatType(), new ArrowType.FloatingPoint(FloatingPointPrecision.SINGLE), FloatWriter.FloatWriterForRow.class, ArrowFloatColumnVector.class));
    testFields.add(Tuple5.of("f7", new DoubleType(), new ArrowType.FloatingPoint(FloatingPointPrecision.DOUBLE), DoubleWriter.DoubleWriterForRow.class, ArrowDoubleColumnVector.class));
    testFields.add(Tuple5.of("f8", new VarCharType(), ArrowType.Utf8.INSTANCE, VarCharWriter.VarCharWriterForRow.class, ArrowVarCharColumnVector.class));
    testFields.add(Tuple5.of("f9", new VarBinaryType(), ArrowType.Binary.INSTANCE, VarBinaryWriter.VarBinaryWriterForRow.class, ArrowVarBinaryColumnVector.class));
    testFields.add(Tuple5.of("f10", new DecimalType(10, 3), new ArrowType.Decimal(10, 3), DecimalWriter.DecimalWriterForRow.class, ArrowDecimalColumnVector.class));
    testFields.add(Tuple5.of("f11", new DateType(), new ArrowType.Date(DateUnit.DAY), DateWriter.DateWriterForRow.class, ArrowDateColumnVector.class));
    testFields.add(Tuple5.of("f13", new TimeType(0), new ArrowType.Time(TimeUnit.SECOND, 32), TimeWriter.TimeWriterForRow.class, ArrowTimeColumnVector.class));
    testFields.add(Tuple5.of("f14", new TimeType(2), new ArrowType.Time(TimeUnit.MILLISECOND, 32), TimeWriter.TimeWriterForRow.class, ArrowTimeColumnVector.class));
    testFields.add(Tuple5.of("f15", new TimeType(4), new ArrowType.Time(TimeUnit.MICROSECOND, 64), TimeWriter.TimeWriterForRow.class, ArrowTimeColumnVector.class));
    testFields.add(Tuple5.of("f16", new TimeType(8), new ArrowType.Time(TimeUnit.NANOSECOND, 64), TimeWriter.TimeWriterForRow.class, ArrowTimeColumnVector.class));
    testFields.add(Tuple5.of("f17", new LocalZonedTimestampType(0), new ArrowType.Timestamp(TimeUnit.SECOND, null), TimestampWriter.TimestampWriterForRow.class, ArrowTimestampColumnVector.class));
    testFields.add(Tuple5.of("f18", new LocalZonedTimestampType(2), new ArrowType.Timestamp(TimeUnit.MILLISECOND, null), TimestampWriter.TimestampWriterForRow.class, ArrowTimestampColumnVector.class));
    testFields.add(Tuple5.of("f19", new LocalZonedTimestampType(4), new ArrowType.Timestamp(TimeUnit.MICROSECOND, null), TimestampWriter.TimestampWriterForRow.class, ArrowTimestampColumnVector.class));
    testFields.add(Tuple5.of("f20", new LocalZonedTimestampType(8), new ArrowType.Timestamp(TimeUnit.NANOSECOND, null), TimestampWriter.TimestampWriterForRow.class, ArrowTimestampColumnVector.class));
    testFields.add(Tuple5.of("f21", new TimestampType(0), new ArrowType.Timestamp(TimeUnit.SECOND, null), TimestampWriter.TimestampWriterForRow.class, ArrowTimestampColumnVector.class));
    testFields.add(Tuple5.of("f22", new TimestampType(2), new ArrowType.Timestamp(TimeUnit.MILLISECOND, null), TimestampWriter.TimestampWriterForRow.class, ArrowTimestampColumnVector.class));
    testFields.add(Tuple5.of("f23", new TimestampType(4), new ArrowType.Timestamp(TimeUnit.MICROSECOND, null), TimestampWriter.TimestampWriterForRow.class, ArrowTimestampColumnVector.class));
    testFields.add(Tuple5.of("f24", new TimestampType(8), new ArrowType.Timestamp(TimeUnit.NANOSECOND, null), TimestampWriter.TimestampWriterForRow.class, ArrowTimestampColumnVector.class));
    testFields.add(Tuple5.of("f25", new ArrayType(new VarCharType()), ArrowType.List.INSTANCE, ArrayWriter.ArrayWriterForRow.class, ArrowArrayColumnVector.class));
    RowType rowFieldType = new RowType(Arrays.asList(new RowType.RowField("a", new IntType()), new RowType.RowField("b", new VarCharType()), new RowType.RowField("c", new ArrayType(new VarCharType())), new RowType.RowField("d", new TimestampType(2)), new RowType.RowField("e", new RowType((Arrays.asList(new RowType.RowField("e1", new IntType()), new RowType.RowField("e2", new VarCharType())))))));
    testFields.add(Tuple5.of("f26", rowFieldType, ArrowType.Struct.INSTANCE, RowWriter.RowWriterForRow.class, ArrowRowColumnVector.class));
    List<RowType.RowField> rowFields = new ArrayList<>();
    for (Tuple5<String, LogicalType, ArrowType, Class<?>, Class<?>> field : testFields) {
        rowFields.add(new RowType.RowField(field.f0, field.f1));
    }
    rowType = new RowType(rowFields);
    allocator = ArrowUtils.getRootAllocator().newChildAllocator("stdout", 0, Long.MAX_VALUE);
}

Example 7 with BooleanType

use of org.apache.flink.table.types.logical.BooleanType in project flink by apache.

the class DataTypeExtractorTest method getInnerTupleDataType.

private static DataType getInnerTupleDataType() {
    final StructuredType.Builder builder = StructuredType.newBuilder(Tuple2.class);
    builder.attributes(Arrays.asList(new StructuredAttribute("f0", VarCharType.STRING_TYPE), new StructuredAttribute("f1", new BooleanType())));
    builder.setFinal(true);
    builder.setInstantiable(true);
    final StructuredType structuredType = builder.build();
    final List<DataType> fieldDataTypes = Arrays.asList(DataTypes.STRING(), DataTypes.BOOLEAN());
    return new FieldsDataType(structuredType, Tuple2.class, fieldDataTypes);
}

Example 8 with BooleanType

use of org.apache.flink.table.types.logical.BooleanType in project flink by apache.

the class DataTypeExtractorTest method getSimplePojoDataType.

/**
 * Testing data type shared with the Scala tests.
 */
static DataType getSimplePojoDataType(Class<?> simplePojoClass) {
    final StructuredType.Builder builder = StructuredType.newBuilder(simplePojoClass);
    builder.attributes(Arrays.asList(new StructuredAttribute("intField", new IntType(true)), new StructuredAttribute("primitiveBooleanField", new BooleanType(false)), new StructuredAttribute("primitiveIntField", new IntType(false)), new StructuredAttribute("stringField", VarCharType.STRING_TYPE)));
    builder.setFinal(true);
    builder.setInstantiable(true);
    final StructuredType structuredType = builder.build();
    final List<DataType> fieldDataTypes = Arrays.asList(DataTypes.INT(), DataTypes.BOOLEAN().notNull().bridgedTo(boolean.class), DataTypes.INT().notNull().bridgedTo(int.class), DataTypes.STRING());
    return new FieldsDataType(structuredType, simplePojoClass, fieldDataTypes);
}

Example 9 with BooleanType

use of org.apache.flink.table.types.logical.BooleanType in project flink by apache.

the class DataTypeExtractorTest method getPojoWithCustomOrderDataType.

/**
 * Testing data type shared with the Scala tests.
 */
public static DataType getPojoWithCustomOrderDataType(Class<?> pojoClass) {
    final StructuredType.Builder builder = StructuredType.newBuilder(pojoClass);
    builder.attributes(Arrays.asList(new StructuredAttribute("z", new BigIntType()), new StructuredAttribute("y", new BooleanType()), new StructuredAttribute("x", new IntType())));
    builder.setFinal(true);
    builder.setInstantiable(true);
    final StructuredType structuredType = builder.build();
    final List<DataType> fieldDataTypes = Arrays.asList(DataTypes.BIGINT(), DataTypes.BOOLEAN(), DataTypes.INT());
    return new FieldsDataType(structuredType, pojoClass, fieldDataTypes);
}