[FLINK-24082] Python UDTF throws exception when the result type is generator of Row - ASF JIRA

Details

Type: Bug
Status: Closed
Priority: Major
Resolution: Fixed
Affects Version/s: 1.13.0
Fix Version/s: 1.13.3
Component/s: API / Python
Labels:
- pull-request-available

Description

For job:

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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)

It will throw the following exception:

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

Python UDTF throws exception when the result type is generator of Row

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