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

Example 21 with IntType

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

the class DynamicTableSourceSpecSerdeTest method testDynamicTableSinkSpecSerde.

public static Stream<DynamicTableSourceSpec> testDynamicTableSinkSpecSerde() {
    Map<String, String> options1 = new HashMap<>();
    options1.put("connector", FileSystemTableFactory.IDENTIFIER);
    options1.put("format", TestCsvFormatFactory.IDENTIFIER);
    options1.put("path", "/tmp");
    final ResolvedSchema resolvedSchema1 = new ResolvedSchema(Collections.singletonList(Column.physical("a", DataTypes.BIGINT())), Collections.emptyList(), null);
    final CatalogTable catalogTable1 = CatalogTable.of(Schema.newBuilder().fromResolvedSchema(resolvedSchema1).build(), null, Collections.emptyList(), options1);
    DynamicTableSourceSpec spec1 = new DynamicTableSourceSpec(ContextResolvedTable.temporary(ObjectIdentifier.of(DEFAULT_BUILTIN_CATALOG, DEFAULT_BUILTIN_DATABASE, "MyTable"), new ResolvedCatalogTable(catalogTable1, resolvedSchema1)), null);
    Map<String, String> options2 = new HashMap<>();
    options2.put("connector", TestValuesTableFactory.IDENTIFIER);
    options2.put("disable-lookup", "true");
    options2.put("enable-watermark-push-down", "true");
    options2.put("filterable-fields", "b");
    options2.put("bounded", "false");
    options2.put("readable-metadata", "m1:INT, m2:STRING");
    final ResolvedSchema resolvedSchema2 = new ResolvedSchema(Arrays.asList(Column.physical("a", DataTypes.BIGINT()), Column.physical("b", DataTypes.INT()), Column.physical("c", DataTypes.STRING()), Column.physical("p", DataTypes.STRING()), Column.metadata("m1", DataTypes.INT(), null, false), Column.metadata("m2", DataTypes.STRING(), null, false), Column.physical("ts", DataTypes.TIMESTAMP(3))), Collections.emptyList(), null);
    final CatalogTable catalogTable2 = CatalogTable.of(Schema.newBuilder().fromResolvedSchema(resolvedSchema2).build(), null, Collections.emptyList(), options2);
    FlinkTypeFactory factory = FlinkTypeFactory.INSTANCE();
    RexBuilder rexBuilder = new RexBuilder(factory);
    DynamicTableSourceSpec spec2 = new DynamicTableSourceSpec(ContextResolvedTable.temporary(ObjectIdentifier.of(DEFAULT_BUILTIN_CATALOG, DEFAULT_BUILTIN_DATABASE, "MyTable"), new ResolvedCatalogTable(catalogTable2, resolvedSchema2)), Arrays.asList(new ProjectPushDownSpec(new int[][] { { 0 }, { 1 }, { 4 }, { 6 } }, RowType.of(new LogicalType[] { new BigIntType(), new IntType(), new IntType(), new TimestampType(3) }, new String[] { "a", "b", "m1", "ts" })), new ReadingMetadataSpec(Arrays.asList("m1", "m2"), RowType.of(new LogicalType[] { new BigIntType(), new IntType(), new IntType(), new TimestampType(3) }, new String[] { "a", "b", "m1", "ts" })), new FilterPushDownSpec(Collections.singletonList(// b >= 10
    rexBuilder.makeCall(SqlStdOperatorTable.GREATER_THAN_OR_EQUAL, rexBuilder.makeInputRef(factory.createSqlType(SqlTypeName.INTEGER), 1), rexBuilder.makeExactLiteral(new BigDecimal(10))))), new WatermarkPushDownSpec(rexBuilder.makeCall(SqlStdOperatorTable.MINUS, rexBuilder.makeInputRef(factory.createSqlType(SqlTypeName.TIMESTAMP, 3), 3), rexBuilder.makeIntervalLiteral(BigDecimal.valueOf(1000), new SqlIntervalQualifier(TimeUnit.SECOND, 2, TimeUnit.SECOND, 6, SqlParserPos.ZERO))), 5000, RowType.of(new BigIntType(), new IntType(), new IntType(), new TimestampType(false, TimestampKind.ROWTIME, 3))), new SourceWatermarkSpec(true, RowType.of(new BigIntType(), new IntType(), new IntType(), new TimestampType(false, TimestampKind.ROWTIME, 3))), new LimitPushDownSpec(100), new PartitionPushDownSpec(Arrays.asList(new HashMap<String, String>() {

        {
            put("p", "A");
        }
    }, new HashMap<String, String>() {

        {
            put("p", "B");
        }
    }))));
    return Stream.of(spec1, spec2);
}

Example 22 with IntType

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

the class LogicalTypeJsonSerdeTest method testLogicalTypeSerde.

private static List<LogicalType> testLogicalTypeSerde() {
    final List<LogicalType> types = Arrays.asList(new BooleanType(), new TinyIntType(), new SmallIntType(), new IntType(), new BigIntType(), new FloatType(), new DoubleType(), new DecimalType(10), new DecimalType(15, 5), CharType.ofEmptyLiteral(), new CharType(), new CharType(5), VarCharType.ofEmptyLiteral(), new VarCharType(), new VarCharType(5), BinaryType.ofEmptyLiteral(), new BinaryType(), new BinaryType(100), VarBinaryType.ofEmptyLiteral(), new VarBinaryType(), new VarBinaryType(100), new DateType(), new TimeType(), new TimeType(3), new TimestampType(), new TimestampType(3), new LocalZonedTimestampType(false, TimestampKind.PROCTIME, 3), new TimestampType(false, TimestampKind.ROWTIME, 3), new ZonedTimestampType(), new ZonedTimestampType(3), new ZonedTimestampType(false, TimestampKind.ROWTIME, 3), new LocalZonedTimestampType(), new LocalZonedTimestampType(3), new LocalZonedTimestampType(false, TimestampKind.PROCTIME, 3), new LocalZonedTimestampType(false, TimestampKind.ROWTIME, 3), new DayTimeIntervalType(DayTimeIntervalType.DayTimeResolution.DAY_TO_HOUR), new DayTimeIntervalType(false, DayTimeIntervalType.DayTimeResolution.DAY_TO_HOUR, 3, 6), new YearMonthIntervalType(YearMonthIntervalType.YearMonthResolution.YEAR_TO_MONTH), new YearMonthIntervalType(false, YearMonthIntervalType.YearMonthResolution.MONTH, 2), new ZonedTimestampType(), new LocalZonedTimestampType(), new LocalZonedTimestampType(false, TimestampKind.PROCTIME, 3), new SymbolType<>(), new ArrayType(new IntType(false)), new ArrayType(new LocalZonedTimestampType(false, TimestampKind.ROWTIME, 3)), new ArrayType(new ZonedTimestampType(false, TimestampKind.ROWTIME, 3)), new ArrayType(new TimestampType()), new ArrayType(CharType.ofEmptyLiteral()), new ArrayType(VarCharType.ofEmptyLiteral()), new ArrayType(BinaryType.ofEmptyLiteral()), new ArrayType(VarBinaryType.ofEmptyLiteral()), new MapType(new BigIntType(), new IntType(false)), new MapType(new TimestampType(false, TimestampKind.ROWTIME, 3), new ZonedTimestampType()), new MapType(CharType.ofEmptyLiteral(), CharType.ofEmptyLiteral()), new MapType(VarCharType.ofEmptyLiteral(), VarCharType.ofEmptyLiteral()), new MapType(BinaryType.ofEmptyLiteral(), BinaryType.ofEmptyLiteral()), new MapType(VarBinaryType.ofEmptyLiteral(), VarBinaryType.ofEmptyLiteral()), new MultisetType(new IntType(false)), new MultisetType(new TimestampType()), new MultisetType(new TimestampType(true, TimestampKind.ROWTIME, 3)), new MultisetType(CharType.ofEmptyLiteral()), new MultisetType(VarCharType.ofEmptyLiteral()), new MultisetType(BinaryType.ofEmptyLiteral()), new MultisetType(VarBinaryType.ofEmptyLiteral()), RowType.of(new BigIntType(), new IntType(false), new VarCharType(200)), RowType.of(new LogicalType[] { new BigIntType(), new IntType(false), new VarCharType(200) }, new String[] { "f1", "f2", "f3" }), RowType.of(new TimestampType(false, TimestampKind.ROWTIME, 3), new TimestampType(false, TimestampKind.REGULAR, 3), new ZonedTimestampType(false, TimestampKind.ROWTIME, 3), new ZonedTimestampType(false, TimestampKind.REGULAR, 3), new LocalZonedTimestampType(false, TimestampKind.ROWTIME, 3), new LocalZonedTimestampType(false, TimestampKind.PROCTIME, 3), new LocalZonedTimestampType(false, TimestampKind.REGULAR, 3)), RowType.of(CharType.ofEmptyLiteral(), VarCharType.ofEmptyLiteral(), BinaryType.ofEmptyLiteral(), VarBinaryType.ofEmptyLiteral()), // registered structured type
    StructuredType.newBuilder(ObjectIdentifier.of("cat", "db", "structuredType"), PojoClass.class).attributes(Arrays.asList(new StructuredType.StructuredAttribute("f0", new IntType(true)), new StructuredType.StructuredAttribute("f1", new BigIntType(true)), new StructuredType.StructuredAttribute("f2", new VarCharType(200), "desc"))).comparison(StructuredType.StructuredComparison.FULL).setFinal(false).setInstantiable(false).superType(StructuredType.newBuilder(ObjectIdentifier.of("cat", "db", "structuredType2")).attributes(Collections.singletonList(new StructuredType.StructuredAttribute("f0", new BigIntType(false)))).build()).description("description for StructuredType").build(), // unregistered structured type
    StructuredType.newBuilder(PojoClass.class).attributes(Arrays.asList(new StructuredType.StructuredAttribute("f0", new IntType(true)), new StructuredType.StructuredAttribute("f1", new BigIntType(true)), new StructuredType.StructuredAttribute("f2", new VarCharType(200), "desc"))).build(), // registered distinct type
    DistinctType.newBuilder(ObjectIdentifier.of("cat", "db", "distinctType"), new VarCharType(5)).build(), DistinctType.newBuilder(ObjectIdentifier.of("cat", "db", "distinctType"), new VarCharType(false, 5)).build(), // custom RawType
    new RawType<>(LocalDateTime.class, LocalDateTimeSerializer.INSTANCE), // external RawType
    new RawType<>(Row.class, ExternalSerializer.of(DataTypes.ROW(DataTypes.INT(), DataTypes.STRING()))));
    final List<LogicalType> mutableTypes = new ArrayList<>(types);
    // RawType for MapView
    addRawTypesForMapView(mutableTypes, new VarCharType(100), new VarCharType(100));
    addRawTypesForMapView(mutableTypes, new VarCharType(100), new BigIntType());
    addRawTypesForMapView(mutableTypes, new BigIntType(), new VarCharType(100));
    addRawTypesForMapView(mutableTypes, new BigIntType(), new BigIntType());
    // RawType for ListView
    addRawTypesForListView(mutableTypes, new VarCharType(100));
    addRawTypesForListView(mutableTypes, new BigIntType());
    // RawType for custom MapView
    mutableTypes.add(DataViewUtils.adjustDataViews(MapView.newMapViewDataType(DataTypes.STRING().toInternal(), DataTypes.STRING().bridgedTo(byte[].class)), false).getLogicalType());
    final List<LogicalType> allTypes = new ArrayList<>();
    // consider nullable
    for (LogicalType type : mutableTypes) {
        allTypes.add(type.copy(true));
        allTypes.add(type.copy(false));
    }
    // ignore nullable for NullType
    allTypes.add(new NullType());
    return allTypes;
}

Example 23 with IntType

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

the class DynamicTableSinkSpecSerdeTest method testDynamicTableSinkSpecSerde.

static Stream<DynamicTableSinkSpec> testDynamicTableSinkSpecSerde() {
    Map<String, String> options1 = new HashMap<>();
    options1.put("connector", FileSystemTableFactory.IDENTIFIER);
    options1.put("format", TestCsvFormatFactory.IDENTIFIER);
    options1.put("path", "/tmp");
    final ResolvedSchema resolvedSchema1 = new ResolvedSchema(Collections.singletonList(Column.physical("a", DataTypes.BIGINT())), Collections.emptyList(), null);
    final CatalogTable catalogTable1 = CatalogTable.of(Schema.newBuilder().fromResolvedSchema(resolvedSchema1).build(), null, Collections.emptyList(), options1);
    DynamicTableSinkSpec spec1 = new DynamicTableSinkSpec(ContextResolvedTable.temporary(ObjectIdentifier.of(DEFAULT_BUILTIN_CATALOG, DEFAULT_BUILTIN_DATABASE, "MyTable"), new ResolvedCatalogTable(catalogTable1, resolvedSchema1)), null);
    Map<String, String> options2 = new HashMap<>();
    options2.put("connector", FileSystemTableFactory.IDENTIFIER);
    options2.put("format", TestCsvFormatFactory.IDENTIFIER);
    options2.put("path", "/tmp");
    final ResolvedSchema resolvedSchema2 = new ResolvedSchema(Arrays.asList(Column.physical("a", DataTypes.BIGINT()), Column.physical("b", DataTypes.INT()), Column.physical("p", DataTypes.STRING())), Collections.emptyList(), null);
    final CatalogTable catalogTable2 = CatalogTable.of(Schema.newBuilder().fromResolvedSchema(resolvedSchema2).build(), null, Collections.emptyList(), options2);
    DynamicTableSinkSpec spec2 = new DynamicTableSinkSpec(ContextResolvedTable.temporary(ObjectIdentifier.of(DEFAULT_BUILTIN_CATALOG, DEFAULT_BUILTIN_DATABASE, "MyTable"), new ResolvedCatalogTable(catalogTable2, resolvedSchema2)), Arrays.asList(new OverwriteSpec(true), new PartitioningSpec(new HashMap<String, String>() {

        {
            put("p", "A");
        }
    })));
    Map<String, String> options3 = new HashMap<>();
    options3.put("connector", TestValuesTableFactory.IDENTIFIER);
    options3.put("writable-metadata", "m:STRING");
    final ResolvedSchema resolvedSchema3 = new ResolvedSchema(Arrays.asList(Column.physical("a", DataTypes.BIGINT()), Column.physical("b", DataTypes.INT()), Column.metadata("m", DataTypes.STRING(), null, false)), Collections.emptyList(), null);
    final CatalogTable catalogTable3 = CatalogTable.of(Schema.newBuilder().fromResolvedSchema(resolvedSchema3).build(), null, Collections.emptyList(), options3);
    DynamicTableSinkSpec spec3 = new DynamicTableSinkSpec(ContextResolvedTable.temporary(ObjectIdentifier.of(DEFAULT_BUILTIN_CATALOG, DEFAULT_BUILTIN_DATABASE, "MyTable"), new ResolvedCatalogTable(catalogTable3, resolvedSchema3)), Collections.singletonList(new WritingMetadataSpec(Collections.singletonList("m"), RowType.of(new BigIntType(), new IntType()))));
    return Stream.of(spec1, spec2, spec3);
}

Example 24 with IntType

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

the class RowDataSerializerTest method testRowDataSerializer.

private static Object[] testRowDataSerializer() {
    InternalTypeInfo<RowData> typeInfo = InternalTypeInfo.ofFields(new IntType(), VarCharType.STRING_TYPE);
    GenericRowData row1 = new GenericRowData(2);
    row1.setField(0, 1);
    row1.setField(1, fromString("a"));
    GenericRowData row2 = new GenericRowData(2);
    row2.setField(0, 2);
    row2.setField(1, null);
    RowDataSerializer serializer = typeInfo.toRowSerializer();
    return new Object[] { serializer, new RowData[] { row1, row2 } };
}

Example 25 with IntType

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

the class RowDataSerializerTest method testLargeRowDataSerializer.

private static Object[] testLargeRowDataSerializer() {
    InternalTypeInfo<RowData> typeInfo = InternalTypeInfo.ofFields(new IntType(), new IntType(), new IntType(), new IntType(), new IntType(), new IntType(), new IntType(), new IntType(), new IntType(), new IntType(), new IntType(), new IntType(), VarCharType.STRING_TYPE);
    GenericRowData row = new GenericRowData(13);
    row.setField(0, 2);
    row.setField(1, null);
    row.setField(3, null);
    row.setField(4, null);
    row.setField(5, null);
    row.setField(6, null);
    row.setField(7, null);
    row.setField(8, null);
    row.setField(9, null);
    row.setField(10, null);
    row.setField(11, null);
    row.setField(12, fromString("Test"));
    RowDataSerializer serializer = typeInfo.toRowSerializer();
    return new Object[] { serializer, new RowData[] { row } };
}