[
https://issues.apache.org/jira/browse/FLINK-24082?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dian Fu updated FLINK-24082:
----------------------------
Description:
For job:
{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 Row
from pyflink.table import (EnvironmentSettings, TableEnvironment, DataTypes)
from pyflink.table.expressions import lit, col
from pyflink.table.udf import udtf
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):
t_env =
TableEnvironment.create(EnvironmentSettings.new_instance().in_streaming_mode().build())
# write all the data to one file
t_env.get_config().get_configuration().set_string("parallelism.default",
"1")
# define the source
if input_path is not None:
t_env.execute_sql("""
CREATE TABLE source (
word STRING
) WITH (
'connector' = 'filesystem',
'path' = {},
'format' = 'csv'
)
""".format(input_path))
tab = t_env.from_path('source')
else:
print("Executing word_count example with default input data set.")
print("Use --input to specify file input.")
tab = t_env.from_elements(map(lambda i: (i,), word_count_data),
DataTypes.ROW([DataTypes.FIELD('line',
DataTypes.STRING())]))
# define the sink
if output_path is not None:
t_env.execute_sql("""
CREATE TABLE sink (
word STRING,
`count` BIGINT
) WITH (
'connector' = 'filesystem',
'path' = {},
'format' = 'canal-json'
)
""".format(output_path))
else:
print("Printing result to stdout. Use --output to specify output path.")
t_env.execute_sql("""
CREATE TABLE sink (
word STRING,
`count` BIGINT
) WITH (
'connector' = 'print'
)
""")
@udtf(result_types=[DataTypes.STRING()])
def split(line: Row):
for s in line[0].split():
yield Row(s)
# compute word count
tab.flat_map(split).alias('word') \
.group_by(col('word')) \
.select(col('word'), lit(1).count) \
.execute_insert('sink') \
.wait()
# remove .wait if submitting to a remote cluster, refer to
#
https://ci.apache.org/projects/flink/flink-docs-stable/docs/dev/python/faq/#wait-for-jobs-to-finish-when-executing-jobs-in-mini-cluster
# for more details
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}
It will throw the following exception:
{code}
Caused by: java.util.concurrent.ExecutionException: java.lang.RuntimeException:
Error received from SDK harness for instruction 1: Traceback (most recent call
last):
File
"/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/apache_beam/runners/worker/sdk_worker.py",
line 289, in _execute
response = task()
File
"/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/apache_beam/runners/worker/sdk_worker.py",
line 362, in <lambda>
lambda: self.create_worker().do_instruction(request), request)
File
"/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/apache_beam/runners/worker/sdk_worker.py",
line 607, in do_instruction
getattr(request, request_type), request.instruction_id)
File
"/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/apache_beam/runners/worker/sdk_worker.py",
line 644, in process_bundle
bundle_processor.process_bundle(instruction_id))
File
"/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/apache_beam/runners/worker/bundle_processor.py",
line 1000, in process_bundle
element.data)
File
"/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/apache_beam/runners/worker/bundle_processor.py",
line 228, in process_encoded
self.output(decoded_value)
File "apache_beam/runners/worker/operations.py", line 357, in
apache_beam.runners.worker.operations.Operation.output
File "apache_beam/runners/worker/operations.py", line 359, in
apache_beam.runners.worker.operations.Operation.output
File "apache_beam/runners/worker/operations.py", line 221, in
apache_beam.runners.worker.operations.SingletonConsumerSet.receive
File "apache_beam/runners/worker/operations.py", line 319, in
apache_beam.runners.worker.operations.Operation.process
File
"/Users/dianfu/code/src/apache/flink/flink-python/pyflink/fn_execution/beam/beam_operations_slow.py",
line 75, in process
self.process_element(value), output_stream, True)
File
"/Users/dianfu/code/src/apache/flink/flink-python/pyflink/fn_execution/beam/beam_coder_impl_slow.py",
line 708, in encode_to_stream
self._value_coder.encode_to_stream(value, out, nested)
File
"/Users/dianfu/code/src/apache/flink/flink-python/pyflink/fn_execution/beam/beam_coder_impl_slow.py",
line 226, in encode_to_stream
self._flatten_row_coder.encode_to_stream(value, out_stream, nested)
File
"/Users/dianfu/code/src/apache/flink/flink-python/pyflink/fn_execution/beam/beam_coder_impl_slow.py",
line 96, in encode_to_stream
self._encode_one_row(value, out_stream, nested)
File
"/Users/dianfu/code/src/apache/flink/flink-python/pyflink/fn_execution/beam/beam_coder_impl_slow.py",
line 120, in _encode_one_row
field_coders[i].encode_to_stream(item, data_out_stream, nested)
File
"/Users/dianfu/code/src/apache/flink/flink-python/pyflink/fn_execution/beam/beam_coder_impl_slow.py",
line 535, in encode_to_stream
bytes_value = value.encode("utf-8")
File
"/Users/dianfu/code/src/apache/flink/flink-python/pyflink/common/types.py",
line 196, in __getattr__
idx = self._fields.index(item)
File
"/Users/dianfu/code/src/apache/flink/flink-python/pyflink/common/types.py",
line 192, in __getattr__
raise AttributeError(item)
AttributeError: _fields
at
java.util.concurrent.CompletableFuture.reportGet(CompletableFuture.java:357)
at
java.util.concurrent.CompletableFuture.get(CompletableFuture.java:1908)
at org.apache.beam.sdk.util.MoreFutures.get(MoreFutures.java:60)
at
org.apache.beam.runners.fnexecution.control.SdkHarnessClient$BundleProcessor$ActiveBundle.close(SdkHarnessClient.java:504)
at
org.apache.beam.runners.fnexecution.control.DefaultJobBundleFactory$SimpleStageBundleFactory$1.close(DefaultJobBundleFactory.java:555)
at
org.apache.flink.streaming.api.runners.python.beam.BeamPythonFunctionRunner.finishBundle(BeamPythonFunctionRunner.java:381)
... 30 more
Caused by: java.lang.RuntimeException: Error received from SDK harness for
instruction 1: Traceback (most recent call last):
File
"/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/apache_beam/runners/worker/sdk_worker.py",
line 289, in _execute
response = task()
File
"/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/apache_beam/runners/worker/sdk_worker.py",
line 362, in <lambda>
lambda: self.create_worker().do_instruction(request), request)
File
"/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/apache_beam/runners/worker/sdk_worker.py",
line 607, in do_instruction
getattr(request, request_type), request.instruction_id)
File
"/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/apache_beam/runners/worker/sdk_worker.py",
line 644, in process_bundle
bundle_processor.process_bundle(instruction_id))
File
"/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/apache_beam/runners/worker/bundle_processor.py",
line 1000, in process_bundle
element.data)
File
"/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/apache_beam/runners/worker/bundle_processor.py",
line 228, in process_encoded
self.output(decoded_value)
File "apache_beam/runners/worker/operations.py", line 357, in
apache_beam.runners.worker.operations.Operation.output
File "apache_beam/runners/worker/operations.py", line 359, in
apache_beam.runners.worker.operations.Operation.output
File "apache_beam/runners/worker/operations.py", line 221, in
apache_beam.runners.worker.operations.SingletonConsumerSet.receive
File "apache_beam/runners/worker/operations.py", line 319, in
apache_beam.runners.worker.operations.Operation.process
File
"/Users/dianfu/code/src/apache/flink/flink-python/pyflink/fn_execution/beam/beam_operations_slow.py",
line 75, in process
self.process_element(value), output_stream, True)
File
"/Users/dianfu/code/src/apache/flink/flink-python/pyflink/fn_execution/beam/beam_coder_impl_slow.py",
line 708, in encode_to_stream
self._value_coder.encode_to_stream(value, out, nested)
File
"/Users/dianfu/code/src/apache/flink/flink-python/pyflink/fn_execution/beam/beam_coder_impl_slow.py",
line 226, in encode_to_stream
self._flatten_row_coder.encode_to_stream(value, out_stream, nested)
File
"/Users/dianfu/code/src/apache/flink/flink-python/pyflink/fn_execution/beam/beam_coder_impl_slow.py",
line 96, in encode_to_stream
self._encode_one_row(value, out_stream, nested)
File
"/Users/dianfu/code/src/apache/flink/flink-python/pyflink/fn_execution/beam/beam_coder_impl_slow.py",
line 120, in _encode_one_row
field_coders[i].encode_to_stream(item, data_out_stream, nested)
File
"/Users/dianfu/code/src/apache/flink/flink-python/pyflink/fn_execution/beam/beam_coder_impl_slow.py",
line 535, in encode_to_stream
bytes_value = value.encode("utf-8")
File
"/Users/dianfu/code/src/apache/flink/flink-python/pyflink/common/types.py",
line 196, in __getattr__
idx = self._fields.index(item)
File
"/Users/dianfu/code/src/apache/flink/flink-python/pyflink/common/types.py",
line 192, in __getattr__
raise AttributeError(item)
AttributeError: _fields
Process finished with exit code 1
{code}
> Python UDTF throws exception when the result type is generator of Row
> ---------------------------------------------------------------------
>
> Key: FLINK-24082
> URL: https://issues.apache.org/jira/browse/FLINK-24082
> Project: Flink
> Issue Type: Bug
> Components: API / Python
> Affects Versions: 1.13.0
> Reporter: Dian Fu
> Assignee: Dian Fu
> Priority: Major
> Fix For: 1.13.3
>
>
> For job:
> {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 Row
> from pyflink.table import (EnvironmentSettings, TableEnvironment, DataTypes)
> from pyflink.table.expressions import lit, col
> from pyflink.table.udf import udtf
> 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):
> t_env =
> TableEnvironment.create(EnvironmentSettings.new_instance().in_streaming_mode().build())
> # write all the data to one file
> t_env.get_config().get_configuration().set_string("parallelism.default",
> "1")
> # define the source
> if input_path is not None:
> t_env.execute_sql("""
> CREATE TABLE source (
> word STRING
> ) WITH (
> 'connector' = 'filesystem',
> 'path' = {},
> 'format' = 'csv'
> )
> """.format(input_path))
> tab = t_env.from_path('source')
> else:
> print("Executing word_count example with default input data set.")
> print("Use --input to specify file input.")
> tab = t_env.from_elements(map(lambda i: (i,), word_count_data),
> DataTypes.ROW([DataTypes.FIELD('line',
> DataTypes.STRING())]))
> # define the sink
> if output_path is not None:
> t_env.execute_sql("""
> CREATE TABLE sink (
> word STRING,
> `count` BIGINT
> ) WITH (
> 'connector' = 'filesystem',
> 'path' = {},
> 'format' = 'canal-json'
> )
> """.format(output_path))
> else:
> print("Printing result to stdout. Use --output to specify output
> path.")
> t_env.execute_sql("""
> CREATE TABLE sink (
> word STRING,
> `count` BIGINT
> ) WITH (
> 'connector' = 'print'
> )
> """)
> @udtf(result_types=[DataTypes.STRING()])
> def split(line: Row):
> for s in line[0].split():
> yield Row(s)
> # compute word count
> tab.flat_map(split).alias('word') \
> .group_by(col('word')) \
> .select(col('word'), lit(1).count) \
> .execute_insert('sink') \
> .wait()
> # remove .wait if submitting to a remote cluster, refer to
> #
> https://ci.apache.org/projects/flink/flink-docs-stable/docs/dev/python/faq/#wait-for-jobs-to-finish-when-executing-jobs-in-mini-cluster
> # for more details
> 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}
> It will throw the following exception:
> {code}
> Caused by: java.util.concurrent.ExecutionException:
> java.lang.RuntimeException: Error received from SDK harness for instruction
> 1: Traceback (most recent call last):
> File
> "/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/apache_beam/runners/worker/sdk_worker.py",
> line 289, in _execute
> response = task()
> File
> "/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/apache_beam/runners/worker/sdk_worker.py",
> line 362, in <lambda>
> lambda: self.create_worker().do_instruction(request), request)
> File
> "/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/apache_beam/runners/worker/sdk_worker.py",
> line 607, in do_instruction
> getattr(request, request_type), request.instruction_id)
> File
> "/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/apache_beam/runners/worker/sdk_worker.py",
> line 644, in process_bundle
> bundle_processor.process_bundle(instruction_id))
> File
> "/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/apache_beam/runners/worker/bundle_processor.py",
> line 1000, in process_bundle
> element.data)
> File
> "/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/apache_beam/runners/worker/bundle_processor.py",
> line 228, in process_encoded
> self.output(decoded_value)
> File "apache_beam/runners/worker/operations.py", line 357, in
> apache_beam.runners.worker.operations.Operation.output
> File "apache_beam/runners/worker/operations.py", line 359, in
> apache_beam.runners.worker.operations.Operation.output
> File "apache_beam/runners/worker/operations.py", line 221, in
> apache_beam.runners.worker.operations.SingletonConsumerSet.receive
> File "apache_beam/runners/worker/operations.py", line 319, in
> apache_beam.runners.worker.operations.Operation.process
> File
> "/Users/dianfu/code/src/apache/flink/flink-python/pyflink/fn_execution/beam/beam_operations_slow.py",
> line 75, in process
> self.process_element(value), output_stream, True)
> File
> "/Users/dianfu/code/src/apache/flink/flink-python/pyflink/fn_execution/beam/beam_coder_impl_slow.py",
> line 708, in encode_to_stream
> self._value_coder.encode_to_stream(value, out, nested)
> File
> "/Users/dianfu/code/src/apache/flink/flink-python/pyflink/fn_execution/beam/beam_coder_impl_slow.py",
> line 226, in encode_to_stream
> self._flatten_row_coder.encode_to_stream(value, out_stream, nested)
> File
> "/Users/dianfu/code/src/apache/flink/flink-python/pyflink/fn_execution/beam/beam_coder_impl_slow.py",
> line 96, in encode_to_stream
> self._encode_one_row(value, out_stream, nested)
> File
> "/Users/dianfu/code/src/apache/flink/flink-python/pyflink/fn_execution/beam/beam_coder_impl_slow.py",
> line 120, in _encode_one_row
> field_coders[i].encode_to_stream(item, data_out_stream, nested)
> File
> "/Users/dianfu/code/src/apache/flink/flink-python/pyflink/fn_execution/beam/beam_coder_impl_slow.py",
> line 535, in encode_to_stream
> bytes_value = value.encode("utf-8")
> File
> "/Users/dianfu/code/src/apache/flink/flink-python/pyflink/common/types.py",
> line 196, in __getattr__
> idx = self._fields.index(item)
> File
> "/Users/dianfu/code/src/apache/flink/flink-python/pyflink/common/types.py",
> line 192, in __getattr__
> raise AttributeError(item)
> AttributeError: _fields
> at
> java.util.concurrent.CompletableFuture.reportGet(CompletableFuture.java:357)
> at
> java.util.concurrent.CompletableFuture.get(CompletableFuture.java:1908)
> at org.apache.beam.sdk.util.MoreFutures.get(MoreFutures.java:60)
> at
> org.apache.beam.runners.fnexecution.control.SdkHarnessClient$BundleProcessor$ActiveBundle.close(SdkHarnessClient.java:504)
> at
> org.apache.beam.runners.fnexecution.control.DefaultJobBundleFactory$SimpleStageBundleFactory$1.close(DefaultJobBundleFactory.java:555)
> at
> org.apache.flink.streaming.api.runners.python.beam.BeamPythonFunctionRunner.finishBundle(BeamPythonFunctionRunner.java:381)
> ... 30 more
> Caused by: java.lang.RuntimeException: Error received from SDK harness for
> instruction 1: Traceback (most recent call last):
> File
> "/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/apache_beam/runners/worker/sdk_worker.py",
> line 289, in _execute
> response = task()
> File
> "/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/apache_beam/runners/worker/sdk_worker.py",
> line 362, in <lambda>
> lambda: self.create_worker().do_instruction(request), request)
> File
> "/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/apache_beam/runners/worker/sdk_worker.py",
> line 607, in do_instruction
> getattr(request, request_type), request.instruction_id)
> File
> "/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/apache_beam/runners/worker/sdk_worker.py",
> line 644, in process_bundle
> bundle_processor.process_bundle(instruction_id))
> File
> "/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/apache_beam/runners/worker/bundle_processor.py",
> line 1000, in process_bundle
> element.data)
> File
> "/Users/dianfu/venv/examples-37/lib/python3.7/site-packages/apache_beam/runners/worker/bundle_processor.py",
> line 228, in process_encoded
> self.output(decoded_value)
> File "apache_beam/runners/worker/operations.py", line 357, in
> apache_beam.runners.worker.operations.Operation.output
> File "apache_beam/runners/worker/operations.py", line 359, in
> apache_beam.runners.worker.operations.Operation.output
> File "apache_beam/runners/worker/operations.py", line 221, in
> apache_beam.runners.worker.operations.SingletonConsumerSet.receive
> File "apache_beam/runners/worker/operations.py", line 319, in
> apache_beam.runners.worker.operations.Operation.process
> File
> "/Users/dianfu/code/src/apache/flink/flink-python/pyflink/fn_execution/beam/beam_operations_slow.py",
> line 75, in process
> self.process_element(value), output_stream, True)
> File
> "/Users/dianfu/code/src/apache/flink/flink-python/pyflink/fn_execution/beam/beam_coder_impl_slow.py",
> line 708, in encode_to_stream
> self._value_coder.encode_to_stream(value, out, nested)
> File
> "/Users/dianfu/code/src/apache/flink/flink-python/pyflink/fn_execution/beam/beam_coder_impl_slow.py",
> line 226, in encode_to_stream
> self._flatten_row_coder.encode_to_stream(value, out_stream, nested)
> File
> "/Users/dianfu/code/src/apache/flink/flink-python/pyflink/fn_execution/beam/beam_coder_impl_slow.py",
> line 96, in encode_to_stream
> self._encode_one_row(value, out_stream, nested)
> File
> "/Users/dianfu/code/src/apache/flink/flink-python/pyflink/fn_execution/beam/beam_coder_impl_slow.py",
> line 120, in _encode_one_row
> field_coders[i].encode_to_stream(item, data_out_stream, nested)
> File
> "/Users/dianfu/code/src/apache/flink/flink-python/pyflink/fn_execution/beam/beam_coder_impl_slow.py",
> line 535, in encode_to_stream
> bytes_value = value.encode("utf-8")
> File
> "/Users/dianfu/code/src/apache/flink/flink-python/pyflink/common/types.py",
> line 196, in __getattr__
> idx = self._fields.index(item)
> File
> "/Users/dianfu/code/src/apache/flink/flink-python/pyflink/common/types.py",
> line 192, in __getattr__
> raise AttributeError(item)
> AttributeError: _fields
> Process finished with exit code 1
> {code}
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