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

Example 6 with FloatType

use of org.apache.flink.table.types.logical.FloatType 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 FloatType

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

the class PythonBridgeUtils method getPickledBytesFromJavaObject.

private static Object getPickledBytesFromJavaObject(Object obj, LogicalType dataType) throws IOException {
    Pickler pickler = new Pickler();
    initialize();
    if (obj == null) {
        return new byte[0];
    } else {
        if (dataType instanceof DateType) {
            long time;
            if (obj instanceof LocalDate) {
                time = ((LocalDate) (obj)).toEpochDay();
            } else {
                time = ((Date) obj).toLocalDate().toEpochDay();
            }
            return pickler.dumps(time);
        } else if (dataType instanceof TimeType) {
            long time;
            if (obj instanceof LocalTime) {
                time = ((LocalTime) obj).toNanoOfDay();
            } else {
                time = ((Time) obj).toLocalTime().toNanoOfDay();
            }
            time = time / 1000;
            return pickler.dumps(time);
        } else if (dataType instanceof TimestampType) {
            if (obj instanceof LocalDateTime) {
                return pickler.dumps(Timestamp.valueOf((LocalDateTime) obj));
            } else {
                return pickler.dumps(obj);
            }
        } else if (dataType instanceof RowType) {
            Row tmpRow = (Row) obj;
            LogicalType[] tmpRowFieldTypes = ((RowType) dataType).getChildren().toArray(new LogicalType[0]);
            List<Object> rowFieldBytes = new ArrayList<>(tmpRow.getArity() + 1);
            rowFieldBytes.add(new byte[] { tmpRow.getKind().toByteValue() });
            for (int i = 0; i < tmpRow.getArity(); i++) {
                rowFieldBytes.add(getPickledBytesFromJavaObject(tmpRow.getField(i), tmpRowFieldTypes[i]));
            }
            return rowFieldBytes;
        } else if (dataType instanceof MapType) {
            List<List<Object>> serializedMapKV = new ArrayList<>(2);
            MapType mapType = (MapType) dataType;
            Map<Object, Object> mapObj = (Map) obj;
            List<Object> keyBytesList = new ArrayList<>(mapObj.size());
            List<Object> valueBytesList = new ArrayList<>(mapObj.size());
            for (Map.Entry entry : mapObj.entrySet()) {
                keyBytesList.add(getPickledBytesFromJavaObject(entry.getKey(), mapType.getKeyType()));
                valueBytesList.add(getPickledBytesFromJavaObject(entry.getValue(), mapType.getValueType()));
            }
            serializedMapKV.add(keyBytesList);
            serializedMapKV.add(valueBytesList);
            return pickler.dumps(serializedMapKV);
        } else if (dataType instanceof ArrayType) {
            Object[] objects = (Object[]) obj;
            List<Object> serializedElements = new ArrayList<>(objects.length);
            ArrayType arrayType = (ArrayType) dataType;
            LogicalType elementType = arrayType.getElementType();
            for (Object object : objects) {
                serializedElements.add(getPickledBytesFromJavaObject(object, elementType));
            }
            return pickler.dumps(serializedElements);
        }
        if (dataType instanceof FloatType) {
            return pickler.dumps(String.valueOf(obj));
        } else {
            return pickler.dumps(obj);
        }
    }
}