def _create_orc_basic_row_and_data() -> Tuple[RowType, RowTypeInfo, List[Row]]:
row_type = DataTypes.ROW([
DataTypes.FIELD('char', DataTypes.CHAR(10)),
DataTypes.FIELD('varchar', DataTypes.VARCHAR(10)),
DataTypes.FIELD('bytes', DataTypes.BYTES()),
DataTypes.FIELD('boolean', DataTypes.BOOLEAN()),
DataTypes.FIELD('decimal', DataTypes.DECIMAL(2, 0)),
DataTypes.FIELD('int', DataTypes.INT()),
DataTypes.FIELD('bigint', DataTypes.BIGINT()),
DataTypes.FIELD('double', DataTypes.DOUBLE()),
DataTypes.FIELD('date', DataTypes.DATE().bridged_to('java.sql.Date')),
DataTypes.FIELD('timestamp', DataTypes.TIMESTAMP(3).bridged_to('java.sql.Timestamp')),
])
row_type_info = Types.ROW_NAMED(
['char', 'varchar', 'bytes', 'boolean', 'decimal', 'int', 'bigint', 'double',
'date', 'timestamp'],
[Types.STRING(), Types.STRING(), Types.PRIMITIVE_ARRAY(Types.BYTE()), Types.BOOLEAN(),
Types.BIG_DEC(), Types.INT(), Types.LONG(), Types.DOUBLE(), Types.SQL_DATE(),
Types.SQL_TIMESTAMP()]
)
data = [Row(
char='char',
varchar='varchar',
bytes=b'varbinary',
boolean=True,
decimal=Decimal(1.5),
int=2147483647,
bigint=-9223372036854775808,
double=2e-308,
date=date(1970, 1, 1),
timestamp=datetime(1970, 1, 2, 3, 4, 5, 600000),
)]
return row_type, row_type_info, data
def test_sql_timestamp_type_info(self):
ds = self.env.from_collection([(datetime.date(2021, 1, 9),
datetime.time(12, 0, 0),
datetime.datetime(2021, 1, 9, 12, 0, 0, 11000))],
type_info=Types.ROW([Types.SQL_DATE(),
Types.SQL_TIME(),
Types.SQL_TIMESTAMP()]))
ds.map(lambda x: x, output_type=Types.ROW([Types.SQL_DATE(),
Types.SQL_TIME(),
Types.SQL_TIMESTAMP()]))\
.add_sink(self.test_sink)
self.env.execute("test sql timestamp type info")
results = self.test_sink.get_results()
expected = ['+I[2021-01-09, 12:00:00, 2021-01-09 12:00:00.011]']
self.assertEqual(expected, results)
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 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 _create_parquet_basic_row_and_data() -> Tuple[RowType, RowTypeInfo, List[Row]]:
row_type = DataTypes.ROW([
DataTypes.FIELD('char', DataTypes.CHAR(10)),
DataTypes.FIELD('varchar', DataTypes.VARCHAR(10)),
DataTypes.FIELD('binary', DataTypes.BINARY(10)),
DataTypes.FIELD('varbinary', DataTypes.VARBINARY(10)),
DataTypes.FIELD('boolean', DataTypes.BOOLEAN()),
DataTypes.FIELD('decimal', DataTypes.DECIMAL(2, 0)),
DataTypes.FIELD('int', DataTypes.INT()),
DataTypes.FIELD('bigint', DataTypes.BIGINT()),
DataTypes.FIELD('double', DataTypes.DOUBLE()),
DataTypes.FIELD('date', DataTypes.DATE().bridged_to('java.sql.Date')),
DataTypes.FIELD('time', DataTypes.TIME().bridged_to('java.sql.Time')),
DataTypes.FIELD('timestamp', DataTypes.TIMESTAMP(3).bridged_to('java.sql.Timestamp')),
DataTypes.FIELD('timestamp_ltz', DataTypes.TIMESTAMP_LTZ(3)),
])
row_type_info = Types.ROW_NAMED(
['char', 'varchar', 'binary', 'varbinary', 'boolean', 'decimal', 'int', 'bigint', 'double',
'date', 'time', 'timestamp', 'timestamp_ltz'],
[Types.STRING(), Types.STRING(), Types.PRIMITIVE_ARRAY(Types.BYTE()),
Types.PRIMITIVE_ARRAY(Types.BYTE()), Types.BOOLEAN(), Types.BIG_DEC(), Types.INT(),
Types.LONG(), Types.DOUBLE(), Types.SQL_DATE(), Types.SQL_TIME(), Types.SQL_TIMESTAMP(),
Types.INSTANT()]
)
datetime_ltz = datetime.datetime(1970, 2, 3, 4, 5, 6, 700000, tzinfo=pytz.timezone('UTC'))
timestamp_ltz = Instant.of_epoch_milli(
(
calendar.timegm(datetime_ltz.utctimetuple()) +
calendar.timegm(time.localtime(0))
) * 1000 + datetime_ltz.microsecond // 1000
)
data = [Row(
char='char',
varchar='varchar',
binary=b'binary',
varbinary=b'varbinary',
boolean=True,
decimal=Decimal(1.5),
int=2147483647,
bigint=-9223372036854775808,
double=2e-308,
date=datetime.date(1970, 1, 1),
time=datetime.time(1, 1, 1),
timestamp=datetime.datetime(1970, 1, 2, 3, 4, 5, 600000),
timestamp_ltz=timestamp_ltz
)]
return row_type, row_type_info, 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()))
