def test_basic_array_type_info(self): ds = self.env.from_collection( [(1, [1.1, None, 1.30], [None, 'hi', 'flink']), (2, [None, 2.2, 2.3], ['hello', None, 'flink']), (3, [3.1, 3.2, None], ['hello', 'hi', None])], type_info=Types.ROW([ Types.INT(), Types.BASIC_ARRAY(Types.FLOAT()), Types.BASIC_ARRAY(Types.STRING()) ])) ds.map(lambda x: x, output_type=Types.ROW([Types.INT(), Types.BASIC_ARRAY(Types.FLOAT()), Types.BASIC_ARRAY(Types.STRING())]))\ .add_sink(self.test_sink) self.env.execute("test basic array type info") results = self.test_sink.get_results() expected = [ '1,[1.1, null, 1.3],[null, hi, flink]', '2,[null, 2.2, 2.3],[hello, null, flink]', '3,[3.1, 3.2, null],[hello, hi, null]' ] results.sort() expected.sort() self.assertEqual(expected, results)
def test_primitive_array_type_info(self): ds = self.env.from_collection([(1, [1.1, 1.2, 1.30]), (2, [2.1, 2.2, 2.3]), (3, [3.1, 3.2, 3.3])], type_info=Types.ROW([Types.INT(), Types.PRIMITIVE_ARRAY(Types.FLOAT())])) ds.map(lambda x: x, output_type=Types.ROW([Types.INT(), Types.PRIMITIVE_ARRAY(Types.FLOAT())]))\ .add_sink(self.test_sink) self.env.execute("test primitive array type info") results = self.test_sink.get_results() expected = ['1,[1.1, 1.2, 1.3]', '2,[2.1, 2.2, 2.3]', '3,[3.1, 3.2, 3.3]'] results.sort() expected.sort() self.assertEqual(expected, results)
def event_timer_timer_demo(): env = StreamExecutionEnvironment.get_execution_environment() ds = env.from_collection( collection=[ (1000, 'Alice', 110.1), (4000, 'Bob', 30.2), (3000, 'Alice', 20.0), (2000, 'Bob', 53.1), (5000, 'Alice', 13.1), (3000, 'Bob', 3.1), (7000, 'Bob', 16.1), (10000, 'Alice', 20.1) ], type_info=Types.TUPLE([Types.LONG(), Types.STRING(), Types.FLOAT()])) ds = ds.assign_timestamps_and_watermarks( WatermarkStrategy.for_bounded_out_of_orderness(Duration.of_seconds(2)) .with_timestamp_assigner(MyTimestampAssigner())) # apply the process function onto a keyed stream ds.key_by(lambda value: value[1]) \ .process(Sum()) \ .print() # submit for execution env.execute()
def pickled_bytes_to_python_converter(data, field_type): if isinstance(field_type, RowTypeInfo): data = zip(list(data[1:]), field_type.get_field_types()) fields = [] for d, d_type in data: fields.append(pickled_bytes_to_python_converter(d, d_type)) return tuple(fields) else: data = pickle.loads(data) if field_type == Types.SQL_TIME(): seconds, microseconds = divmod(data, 10**6) minutes, seconds = divmod(seconds, 60) hours, minutes = divmod(minutes, 60) return datetime.time(hours, minutes, seconds, microseconds) elif field_type == Types.SQL_DATE(): return field_type.from_internal_type(data) elif field_type == Types.SQL_TIMESTAMP(): return field_type.from_internal_type(int(data.timestamp() * 10**6)) elif field_type == Types.FLOAT(): return field_type.from_internal_type(ast.literal_eval(data)) elif is_basic_array_type_info( field_type) or is_primitive_array_type_info(field_type): element_type = typeinfo._from_java_type( field_type.get_java_type_info().getComponentInfo()) elements = [] for element_bytes in data: elements.append( pickled_bytes_to_python_converter(element_bytes, element_type)) return elements else: return field_type.from_internal_type(data)
def open(self, runtime_context: RuntimeContext): state_descriptor = ValueStateDescriptor("state", Types.FLOAT()) state_ttl_config = StateTtlConfig \ .new_builder(Time.seconds(1)) \ .set_update_type(StateTtlConfig.UpdateType.OnReadAndWrite) \ .disable_cleanup_in_background() \ .build() state_descriptor.enable_time_to_live(state_ttl_config) self.state = runtime_context.get_state(state_descriptor)
def test_from_collection_with_data_types(self): # verify from_collection for the collection with single object. ds = self.env.from_collection(['Hi', 'Hello'], type_info=Types.STRING()) ds.add_sink(self.test_sink) self.env.execute("test from collection with single object") results = self.test_sink.get_results(False) expected = ['Hello', 'Hi'] results.sort() expected.sort() self.assertEqual(expected, results) # verify from_collection for the collection with multiple objects like tuple. ds = self.env.from_collection([(1, None, 1, True, 32767, -2147483648, 1.23, 1.98932, bytearray(b'flink'), 'pyflink', datetime.date(2014, 9, 13), datetime.time(hour=12, minute=0, second=0, microsecond=123000), datetime.datetime(2018, 3, 11, 3, 0, 0, 123000), [1, 2, 3], decimal.Decimal('1000000000000000000.05'), decimal.Decimal('1000000000000000000.0599999999999' '9999899999999999')), (2, None, 2, True, 43878, 9147483648, 9.87, 2.98936, bytearray(b'flink'), 'pyflink', datetime.date(2015, 10, 14), datetime.time(hour=11, minute=2, second=2, microsecond=234500), datetime.datetime(2020, 4, 15, 8, 2, 6, 235000), [2, 4, 6], decimal.Decimal('2000000000000000000.74'), decimal.Decimal('2000000000000000000.061111111111111' '11111111111111'))], type_info=Types.ROW( [Types.LONG(), Types.LONG(), Types.SHORT(), Types.BOOLEAN(), Types.SHORT(), Types.INT(), Types.FLOAT(), Types.DOUBLE(), Types.PICKLED_BYTE_ARRAY(), Types.STRING(), Types.SQL_DATE(), Types.SQL_TIME(), Types.SQL_TIMESTAMP(), Types.BASIC_ARRAY(Types.LONG()), Types.BIG_DEC(), Types.BIG_DEC()])) ds.add_sink(self.test_sink) self.env.execute("test from collection with tuple object") results = self.test_sink.get_results(False) # if user specifies data types of input data, the collected result should be in row format. expected = [ '+I[1, null, 1, true, 32767, -2147483648, 1.23, 1.98932, [102, 108, 105, 110, 107], ' 'pyflink, 2014-09-13, 12:00:00, 2018-03-11 03:00:00.123, [1, 2, 3], ' '1000000000000000000.05, 1000000000000000000.05999999999999999899999999999]', '+I[2, null, 2, true, -21658, 557549056, 9.87, 2.98936, [102, 108, 105, 110, 107], ' 'pyflink, 2015-10-14, 11:02:02, 2020-04-15 08:02:06.235, [2, 4, 6], ' '2000000000000000000.74, 2000000000000000000.06111111111111111111111111111]'] results.sort() expected.sort() self.assertEqual(expected, results)
def pickled_bytes_to_python_converter(data, field_type): if isinstance(field_type, RowTypeInfo): row_kind = RowKind(int.from_bytes(data[0], 'little')) data = zip(list(data[1:]), field_type.get_field_types()) fields = [] for d, d_type in data: fields.append(pickled_bytes_to_python_converter(d, d_type)) row = Row.of_kind(row_kind, *fields) return row else: data = pickle.loads(data) if field_type == Types.SQL_TIME(): seconds, microseconds = divmod(data, 10**6) minutes, seconds = divmod(seconds, 60) hours, minutes = divmod(minutes, 60) return datetime.time(hours, minutes, seconds, microseconds) elif field_type == Types.SQL_DATE(): return field_type.from_internal_type(data) elif field_type == Types.SQL_TIMESTAMP(): return field_type.from_internal_type(int(data.timestamp() * 10**6)) elif field_type == Types.FLOAT(): return field_type.from_internal_type(ast.literal_eval(data)) elif isinstance( field_type, (BasicArrayTypeInfo, PrimitiveArrayTypeInfo, ObjectArrayTypeInfo)): element_type = field_type._element_type elements = [] for element_bytes in data: elements.append( pickled_bytes_to_python_converter(element_bytes, element_type)) return elements elif isinstance(field_type, MapTypeInfo): key_type = field_type._key_type_info value_type = field_type._value_type_info zip_kv = zip(data[0], data[1]) return dict((pickled_bytes_to_python_converter(k, key_type), pickled_bytes_to_python_converter(v, value_type)) for k, v in zip_kv) elif isinstance(field_type, ListTypeInfo): element_type = field_type.elem_type elements = [] for element_bytes in data: elements.append( pickled_bytes_to_python_converter(element_bytes, element_type)) return elements else: return field_type.from_internal_type(data)
def test_from_java_type(self): basic_int_type_info = Types.INT() self.assertEqual(basic_int_type_info, _from_java_type(basic_int_type_info.get_java_type_info())) basic_short_type_info = Types.SHORT() self.assertEqual(basic_short_type_info, _from_java_type(basic_short_type_info.get_java_type_info())) basic_long_type_info = Types.LONG() self.assertEqual(basic_long_type_info, _from_java_type(basic_long_type_info.get_java_type_info())) basic_float_type_info = Types.FLOAT() self.assertEqual(basic_float_type_info, _from_java_type(basic_float_type_info.get_java_type_info())) basic_double_type_info = Types.DOUBLE() self.assertEqual(basic_double_type_info, _from_java_type(basic_double_type_info.get_java_type_info())) basic_char_type_info = Types.CHAR() self.assertEqual(basic_char_type_info, _from_java_type(basic_char_type_info.get_java_type_info())) basic_byte_type_info = Types.BYTE() self.assertEqual(basic_byte_type_info, _from_java_type(basic_byte_type_info.get_java_type_info())) basic_big_int_type_info = Types.BIG_INT() self.assertEqual(basic_big_int_type_info, _from_java_type(basic_big_int_type_info.get_java_type_info())) basic_big_dec_type_info = Types.BIG_DEC() self.assertEqual(basic_big_dec_type_info, _from_java_type(basic_big_dec_type_info.get_java_type_info())) basic_sql_date_type_info = Types.SQL_DATE() self.assertEqual(basic_sql_date_type_info, _from_java_type(basic_sql_date_type_info.get_java_type_info())) basic_sql_time_type_info = Types.SQL_TIME() self.assertEqual(basic_sql_time_type_info, _from_java_type(basic_sql_time_type_info.get_java_type_info())) basic_sql_timestamp_type_info = Types.SQL_TIMESTAMP() self.assertEqual(basic_sql_timestamp_type_info, _from_java_type(basic_sql_timestamp_type_info.get_java_type_info())) row_type_info = Types.ROW([Types.INT(), Types.STRING()]) self.assertEqual(row_type_info, _from_java_type(row_type_info.get_java_type_info())) tuple_type_info = Types.TUPLE([Types.CHAR(), Types.INT()]) self.assertEqual(tuple_type_info, _from_java_type(tuple_type_info.get_java_type_info())) primitive_int_array_type_info = Types.PRIMITIVE_ARRAY(Types.INT()) self.assertEqual(primitive_int_array_type_info, _from_java_type(primitive_int_array_type_info.get_java_type_info())) object_array_type_info = Types.OBJECT_ARRAY(Types.SQL_DATE()) self.assertEqual(object_array_type_info, _from_java_type(object_array_type_info.get_java_type_info())) pickled_byte_array_type_info = Types.PICKLED_BYTE_ARRAY() self.assertEqual(pickled_byte_array_type_info, _from_java_type(pickled_byte_array_type_info.get_java_type_info())) sql_date_type_info = Types.SQL_DATE() self.assertEqual(sql_date_type_info, _from_java_type(sql_date_type_info.get_java_type_info())) map_type_info = Types.MAP(Types.INT(), Types.STRING()) self.assertEqual(map_type_info, _from_java_type(map_type_info.get_java_type_info())) list_type_info = Types.LIST(Types.INT()) self.assertEqual(list_type_info, _from_java_type(list_type_info.get_java_type_info()))
def to_java_typeinfo(type_info: TypeInformation): if isinstance(type_info, BasicTypeInfo): basic_type = type_info._basic_type if basic_type == BasicType.STRING: j_typeinfo = JTypes.STRING elif basic_type == BasicType.BYTE: j_typeinfo = JTypes.LONG elif basic_type == BasicType.BOOLEAN: j_typeinfo = JTypes.BOOLEAN elif basic_type == BasicType.SHORT: j_typeinfo = JTypes.LONG elif basic_type == BasicType.INT: j_typeinfo = JTypes.LONG elif basic_type == BasicType.LONG: j_typeinfo = JTypes.LONG elif basic_type == BasicType.FLOAT: j_typeinfo = JTypes.DOUBLE elif basic_type == BasicType.DOUBLE: j_typeinfo = JTypes.DOUBLE elif basic_type == BasicType.CHAR: j_typeinfo = JTypes.STRING elif basic_type == BasicType.BIG_INT: j_typeinfo = JTypes.BIG_INT elif basic_type == BasicType.BIG_DEC: j_typeinfo = JTypes.BIG_DEC elif basic_type == BasicType.INSTANT: j_typeinfo = JTypes.INSTANT else: raise TypeError("Invalid BasicType %s." % basic_type) elif isinstance(type_info, PrimitiveArrayTypeInfo): element_type = type_info._element_type if element_type == Types.BOOLEAN(): j_typeinfo = JPrimitiveArrayTypeInfo.BOOLEAN_PRIMITIVE_ARRAY_TYPE_INFO elif element_type == Types.BYTE(): j_typeinfo = JPrimitiveArrayTypeInfo.BYTE_PRIMITIVE_ARRAY_TYPE_INFO elif element_type == Types.SHORT(): j_typeinfo = JPrimitiveArrayTypeInfo.SHORT_PRIMITIVE_ARRAY_TYPE_INFO elif element_type == Types.INT(): j_typeinfo = JPrimitiveArrayTypeInfo.INT_PRIMITIVE_ARRAY_TYPE_INFO elif element_type == Types.LONG(): j_typeinfo = JPrimitiveArrayTypeInfo.LONG_PRIMITIVE_ARRAY_TYPE_INFO elif element_type == Types.FLOAT(): j_typeinfo = JPrimitiveArrayTypeInfo.FLOAT_PRIMITIVE_ARRAY_TYPE_INFO elif element_type == Types.DOUBLE(): j_typeinfo = JPrimitiveArrayTypeInfo.DOUBLE_PRIMITIVE_ARRAY_TYPE_INFO elif element_type == Types.CHAR(): j_typeinfo = JPrimitiveArrayTypeInfo.CHAR_PRIMITIVE_ARRAY_TYPE_INFO else: raise TypeError("Invalid element type for a primitive array.") elif isinstance(type_info, BasicArrayTypeInfo): element_type = type_info._element_type if element_type == Types.BOOLEAN(): j_typeinfo = JBasicArrayTypeInfo.BOOLEAN_ARRAY_TYPE_INFO elif element_type == Types.BYTE(): j_typeinfo = JBasicArrayTypeInfo.BYTE_ARRAY_TYPE_INFO elif element_type == Types.SHORT(): j_typeinfo = JBasicArrayTypeInfo.SHORT_ARRAY_TYPE_INFO elif element_type == Types.INT(): j_typeinfo = JBasicArrayTypeInfo.INT_ARRAY_TYPE_INFO elif element_type == Types.LONG(): j_typeinfo = JBasicArrayTypeInfo.LONG_ARRAY_TYPE_INFO elif element_type == Types.FLOAT(): j_typeinfo = JBasicArrayTypeInfo.FLOAT_ARRAY_TYPE_INFO elif element_type == Types.DOUBLE(): j_typeinfo = JBasicArrayTypeInfo.DOUBLE_ARRAY_TYPE_INFO elif element_type == Types.CHAR(): j_typeinfo = JBasicArrayTypeInfo.CHAR_ARRAY_TYPE_INFO elif element_type == Types.STRING(): j_typeinfo = JBasicArrayTypeInfo.STRING_ARRAY_TYPE_INFO else: raise TypeError("Invalid element type for a basic array.") elif isinstance(type_info, ObjectArrayTypeInfo): element_type = type_info._element_type j_typeinfo = JTypes.OBJECT_ARRAY(to_java_typeinfo(element_type)) elif isinstance(type_info, MapTypeInfo): j_key_typeinfo = to_java_typeinfo(type_info._key_type_info) j_value_typeinfo = to_java_typeinfo(type_info._value_type_info) j_typeinfo = JMapTypeInfo(j_key_typeinfo, j_value_typeinfo) else: j_typeinfo = JPickledByteArrayTypeInfo.PICKLED_BYTE_ARRAY_TYPE_INFO return j_typeinfo