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Posted to issues@flink.apache.org by "Dian Fu (Jira)" <ji...@apache.org> on 2023/03/16 02:46:00 UTC
[jira] [Updated] (FLINK-31478) TypeError: a bytes-like object is required, not 'JavaList' is thrown when ds.execute_and_collect() is called on a KeyedStream
[ https://issues.apache.org/jira/browse/FLINK-31478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dian Fu updated FLINK-31478:
----------------------------
Description:
{code}
################################################################################
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
################################################################################
import argparse
import logging
import sys
from pyflink.common import WatermarkStrategy, Encoder, Types
from pyflink.datastream import StreamExecutionEnvironment, RuntimeExecutionMode
from pyflink.datastream.connectors.file_system import (FileSource, StreamFormat, FileSink,
OutputFileConfig, RollingPolicy)
word_count_data = ["To be, or not to be,--that is the question:--",
"Whether 'tis nobler in the mind to suffer",
"The slings and arrows of outrageous fortune",
"Or to take arms against a sea of troubles,",
"And by opposing end them?--To die,--to sleep,--",
"No more; and by a sleep to say we end",
"The heartache, and the thousand natural shocks",
"That flesh is heir to,--'tis a consummation",
"Devoutly to be wish'd. To die,--to sleep;--",
"To sleep! perchance to dream:--ay, there's the rub;",
"For in that sleep of death what dreams may come,",
"When we have shuffled off this mortal coil,",
"Must give us pause: there's the respect",
"That makes calamity of so long life;",
"For who would bear the whips and scorns of time,",
"The oppressor's wrong, the proud man's contumely,",
"The pangs of despis'd love, the law's delay,",
"The insolence of office, and the spurns",
"That patient merit of the unworthy takes,",
"When he himself might his quietus make",
"With a bare bodkin? who would these fardels bear,",
"To grunt and sweat under a weary life,",
"But that the dread of something after death,--",
"The undiscover'd country, from whose bourn",
"No traveller returns,--puzzles the will,",
"And makes us rather bear those ills we have",
"Than fly to others that we know not of?",
"Thus conscience does make cowards of us all;",
"And thus the native hue of resolution",
"Is sicklied o'er with the pale cast of thought;",
"And enterprises of great pith and moment,",
"With this regard, their currents turn awry,",
"And lose the name of action.--Soft you now!",
"The fair Ophelia!--Nymph, in thy orisons",
"Be all my sins remember'd."]
def word_count(input_path, output_path):
env = StreamExecutionEnvironment.get_execution_environment()
env.set_runtime_mode(RuntimeExecutionMode.BATCH)
# write all the data to one file
env.set_parallelism(1)
# define the source
if input_path is not None:
ds = env.from_source(
source=FileSource.for_record_stream_format(StreamFormat.text_line_format(),
input_path)
.process_static_file_set().build(),
watermark_strategy=WatermarkStrategy.for_monotonous_timestamps(),
source_name="file_source"
)
else:
print("Executing word_count example with default input data set.")
print("Use --input to specify file input.")
ds = env.from_collection(word_count_data)
def split(line):
yield from line.split()
# compute word count
ds = ds.flat_map(split) \
.map(lambda i: (i, 1), output_type=Types.TUPLE([Types.STRING(), Types.INT()])) \
.key_by(lambda i: i[0])
# .reduce(lambda i, j: (i[0], i[1] + j[1]))
# define the sink
if output_path is not None:
ds.sink_to(
sink=FileSink.for_row_format(
base_path=output_path,
encoder=Encoder.simple_string_encoder())
.with_output_file_config(
OutputFileConfig.builder()
.with_part_prefix("prefix")
.with_part_suffix(".ext")
.build())
.with_rolling_policy(RollingPolicy.default_rolling_policy())
.build()
)
else:
print("Printing result to stdout. Use --output to specify output path.")
a = list(ds.execute_and_collect())
if __name__ == '__main__':
logging.basicConfig(stream=sys.stdout, level=logging.INFO, format="%(message)s")
parser = argparse.ArgumentParser()
parser.add_argument(
'--input',
dest='input',
required=False,
help='Input file to process.')
parser.add_argument(
'--output',
dest='output',
required=False,
help='Output file to write results to.')
argv = sys.argv[1:]
known_args, _ = parser.parse_known_args(argv)
word_count(known_args.input, known_args.output)
{code}
For the above job, the following exception will be thrown:
{code}
Traceback (most recent call last):
File "/Users/dianfu/code/src/workspace/pyflink-examples/udf/test_udf_perf.py", line 131, in <module>
word_count(known_args.input, known_args.output)
File "/Users/dianfu/code/src/workspace/pyflink-examples/udf/test_udf_perf.py", line 110, in word_count
a = list(ds.execute_and_collect())
File "/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/pyflink/datastream/data_stream.py", line 2920, in __next__
return self.next()
File "/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/pyflink/datastream/data_stream.py", line 2931, in next
return convert_to_python_obj(self._j_closeable_iterator.next(), self._type_info)
File "/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/pyflink/datastream/utils.py", line 72, in convert_to_python_obj
fields.append(pickled_bytes_to_python_converter(data, field_type))
File "/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/pyflink/datastream/utils.py", line 91, in pickled_bytes_to_python_converter
data = pickle.loads(data)
TypeError: a bytes-like object is required, not 'JavaList'
{code}
See more details on https://apache-flink.slack.com/archives/C03G7LJTS2G/p1678894062180649
was:
{code}
################################################################################
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
################################################################################
import argparse
import logging
import sys
from pyflink.common import WatermarkStrategy, Encoder, Types
from pyflink.datastream import StreamExecutionEnvironment, RuntimeExecutionMode
from pyflink.datastream.connectors.file_system import (FileSource, StreamFormat, FileSink,
OutputFileConfig, RollingPolicy)
word_count_data = ["To be, or not to be,--that is the question:--",
"Whether 'tis nobler in the mind to suffer",
"The slings and arrows of outrageous fortune",
"Or to take arms against a sea of troubles,",
"And by opposing end them?--To die,--to sleep,--",
"No more; and by a sleep to say we end",
"The heartache, and the thousand natural shocks",
"That flesh is heir to,--'tis a consummation",
"Devoutly to be wish'd. To die,--to sleep;--",
"To sleep! perchance to dream:--ay, there's the rub;",
"For in that sleep of death what dreams may come,",
"When we have shuffled off this mortal coil,",
"Must give us pause: there's the respect",
"That makes calamity of so long life;",
"For who would bear the whips and scorns of time,",
"The oppressor's wrong, the proud man's contumely,",
"The pangs of despis'd love, the law's delay,",
"The insolence of office, and the spurns",
"That patient merit of the unworthy takes,",
"When he himself might his quietus make",
"With a bare bodkin? who would these fardels bear,",
"To grunt and sweat under a weary life,",
"But that the dread of something after death,--",
"The undiscover'd country, from whose bourn",
"No traveller returns,--puzzles the will,",
"And makes us rather bear those ills we have",
"Than fly to others that we know not of?",
"Thus conscience does make cowards of us all;",
"And thus the native hue of resolution",
"Is sicklied o'er with the pale cast of thought;",
"And enterprises of great pith and moment,",
"With this regard, their currents turn awry,",
"And lose the name of action.--Soft you now!",
"The fair Ophelia!--Nymph, in thy orisons",
"Be all my sins remember'd."]
def word_count(input_path, output_path):
env = StreamExecutionEnvironment.get_execution_environment()
env.set_runtime_mode(RuntimeExecutionMode.BATCH)
# write all the data to one file
env.set_parallelism(1)
# define the source
if input_path is not None:
ds = env.from_source(
source=FileSource.for_record_stream_format(StreamFormat.text_line_format(),
input_path)
.process_static_file_set().build(),
watermark_strategy=WatermarkStrategy.for_monotonous_timestamps(),
source_name="file_source"
)
else:
print("Executing word_count example with default input data set.")
print("Use --input to specify file input.")
ds = env.from_collection(word_count_data)
def split(line):
yield from line.split()
# compute word count
ds = ds.flat_map(split) \
.map(lambda i: (i, 1), output_type=Types.TUPLE([Types.STRING(), Types.INT()])) \
.key_by(lambda i: i[0])
# .reduce(lambda i, j: (i[0], i[1] + j[1]))
# define the sink
if output_path is not None:
ds.sink_to(
sink=FileSink.for_row_format(
base_path=output_path,
encoder=Encoder.simple_string_encoder())
.with_output_file_config(
OutputFileConfig.builder()
.with_part_prefix("prefix")
.with_part_suffix(".ext")
.build())
.with_rolling_policy(RollingPolicy.default_rolling_policy())
.build()
)
else:
print("Printing result to stdout. Use --output to specify output path.")
a = list(ds.execute_and_collect())
if __name__ == '__main__':
logging.basicConfig(stream=sys.stdout, level=logging.INFO, format="%(message)s")
parser = argparse.ArgumentParser()
parser.add_argument(
'--input',
dest='input',
required=False,
help='Input file to process.')
parser.add_argument(
'--output',
dest='output',
required=False,
help='Output file to write results to.')
argv = sys.argv[1:]
known_args, _ = parser.parse_known_args(argv)
word_count(known_args.input, known_args.output)
{code}
For the above job, the following exception will be thrown:
{code}
Traceback (most recent call last):
File "/Users/dianfu/code/src/workspace/pyflink-examples/udf/test_udf_perf.py", line 131, in <module>
word_count(known_args.input, known_args.output)
File "/Users/dianfu/code/src/workspace/pyflink-examples/udf/test_udf_perf.py", line 110, in word_count
a = list(ds.execute_and_collect())
File "/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/pyflink/datastream/data_stream.py", line 2920, in __next__
return self.next()
File "/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/pyflink/datastream/data_stream.py", line 2931, in next
return convert_to_python_obj(self._j_closeable_iterator.next(), self._type_info)
File "/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/pyflink/datastream/utils.py", line 72, in convert_to_python_obj
fields.append(pickled_bytes_to_python_converter(data, field_type))
File "/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/pyflink/datastream/utils.py", line 91, in pickled_bytes_to_python_converter
data = pickle.loads(data)
TypeError: a bytes-like object is required, not 'JavaList'
{code}
> TypeError: a bytes-like object is required, not 'JavaList' is thrown when ds.execute_and_collect() is called on a KeyedStream
> -----------------------------------------------------------------------------------------------------------------------------
>
> Key: FLINK-31478
> URL: https://issues.apache.org/jira/browse/FLINK-31478
> Project: Flink
> Issue Type: Bug
> Components: API / Python
> Reporter: Dian Fu
> Assignee: Dian Fu
> Priority: Major
>
> {code}
> ################################################################################
> # Licensed to the Apache Software Foundation (ASF) under one
> # or more contributor license agreements. See the NOTICE file
> # distributed with this work for additional information
> # regarding copyright ownership. The ASF licenses this file
> # to you under the Apache License, Version 2.0 (the
> # "License"); you may not use this file except in compliance
> # with the License. You may obtain a copy of the License at
> #
> # http://www.apache.org/licenses/LICENSE-2.0
> #
> # Unless required by applicable law or agreed to in writing, software
> # distributed under the License is distributed on an "AS IS" BASIS,
> # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
> # See the License for the specific language governing permissions and
> # limitations under the License.
> ################################################################################
> import argparse
> import logging
> import sys
> from pyflink.common import WatermarkStrategy, Encoder, Types
> from pyflink.datastream import StreamExecutionEnvironment, RuntimeExecutionMode
> from pyflink.datastream.connectors.file_system import (FileSource, StreamFormat, FileSink,
> OutputFileConfig, RollingPolicy)
> word_count_data = ["To be, or not to be,--that is the question:--",
> "Whether 'tis nobler in the mind to suffer",
> "The slings and arrows of outrageous fortune",
> "Or to take arms against a sea of troubles,",
> "And by opposing end them?--To die,--to sleep,--",
> "No more; and by a sleep to say we end",
> "The heartache, and the thousand natural shocks",
> "That flesh is heir to,--'tis a consummation",
> "Devoutly to be wish'd. To die,--to sleep;--",
> "To sleep! perchance to dream:--ay, there's the rub;",
> "For in that sleep of death what dreams may come,",
> "When we have shuffled off this mortal coil,",
> "Must give us pause: there's the respect",
> "That makes calamity of so long life;",
> "For who would bear the whips and scorns of time,",
> "The oppressor's wrong, the proud man's contumely,",
> "The pangs of despis'd love, the law's delay,",
> "The insolence of office, and the spurns",
> "That patient merit of the unworthy takes,",
> "When he himself might his quietus make",
> "With a bare bodkin? who would these fardels bear,",
> "To grunt and sweat under a weary life,",
> "But that the dread of something after death,--",
> "The undiscover'd country, from whose bourn",
> "No traveller returns,--puzzles the will,",
> "And makes us rather bear those ills we have",
> "Than fly to others that we know not of?",
> "Thus conscience does make cowards of us all;",
> "And thus the native hue of resolution",
> "Is sicklied o'er with the pale cast of thought;",
> "And enterprises of great pith and moment,",
> "With this regard, their currents turn awry,",
> "And lose the name of action.--Soft you now!",
> "The fair Ophelia!--Nymph, in thy orisons",
> "Be all my sins remember'd."]
> def word_count(input_path, output_path):
> env = StreamExecutionEnvironment.get_execution_environment()
> env.set_runtime_mode(RuntimeExecutionMode.BATCH)
> # write all the data to one file
> env.set_parallelism(1)
> # define the source
> if input_path is not None:
> ds = env.from_source(
> source=FileSource.for_record_stream_format(StreamFormat.text_line_format(),
> input_path)
> .process_static_file_set().build(),
> watermark_strategy=WatermarkStrategy.for_monotonous_timestamps(),
> source_name="file_source"
> )
> else:
> print("Executing word_count example with default input data set.")
> print("Use --input to specify file input.")
> ds = env.from_collection(word_count_data)
> def split(line):
> yield from line.split()
> # compute word count
> ds = ds.flat_map(split) \
> .map(lambda i: (i, 1), output_type=Types.TUPLE([Types.STRING(), Types.INT()])) \
> .key_by(lambda i: i[0])
> # .reduce(lambda i, j: (i[0], i[1] + j[1]))
> # define the sink
> if output_path is not None:
> ds.sink_to(
> sink=FileSink.for_row_format(
> base_path=output_path,
> encoder=Encoder.simple_string_encoder())
> .with_output_file_config(
> OutputFileConfig.builder()
> .with_part_prefix("prefix")
> .with_part_suffix(".ext")
> .build())
> .with_rolling_policy(RollingPolicy.default_rolling_policy())
> .build()
> )
> else:
> print("Printing result to stdout. Use --output to specify output path.")
> a = list(ds.execute_and_collect())
> if __name__ == '__main__':
> logging.basicConfig(stream=sys.stdout, level=logging.INFO, format="%(message)s")
> parser = argparse.ArgumentParser()
> parser.add_argument(
> '--input',
> dest='input',
> required=False,
> help='Input file to process.')
> parser.add_argument(
> '--output',
> dest='output',
> required=False,
> help='Output file to write results to.')
> argv = sys.argv[1:]
> known_args, _ = parser.parse_known_args(argv)
> word_count(known_args.input, known_args.output)
> {code}
> For the above job, the following exception will be thrown:
> {code}
> Traceback (most recent call last):
> File "/Users/dianfu/code/src/workspace/pyflink-examples/udf/test_udf_perf.py", line 131, in <module>
> word_count(known_args.input, known_args.output)
> File "/Users/dianfu/code/src/workspace/pyflink-examples/udf/test_udf_perf.py", line 110, in word_count
> a = list(ds.execute_and_collect())
> File "/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/pyflink/datastream/data_stream.py", line 2920, in __next__
> return self.next()
> File "/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/pyflink/datastream/data_stream.py", line 2931, in next
> return convert_to_python_obj(self._j_closeable_iterator.next(), self._type_info)
> File "/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/pyflink/datastream/utils.py", line 72, in convert_to_python_obj
> fields.append(pickled_bytes_to_python_converter(data, field_type))
> File "/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/pyflink/datastream/utils.py", line 91, in pickled_bytes_to_python_converter
> data = pickle.loads(data)
> TypeError: a bytes-like object is required, not 'JavaList'
> {code}
> See more details on https://apache-flink.slack.com/archives/C03G7LJTS2G/p1678894062180649
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