我遇到以下错误，而运行流式传输管道（python）在Apache Beam在Flink运行。管道包含GCPpub/sub io源和pub/sub目标。

WARNING:root:Make sure that locally built Python SDK docker image has Python 3.6 interpreter.

ERROR:root:java.lang.IllegalArgumentException: PCollectionNodes [PCollectionNode{id=ref_PCollection_PCollection_1, PCollection=unique_name: "23 Read from Pub/Sub/Read.None"
coder_id: "ref_Coder_BytesCoder_1"
is_bounded: UNBOUNDED
windowing_strategy_id: "ref_Windowing_Windowing_1"
}] were consumed but never produced
Traceback (most recent call last):
  File "<stdin>", line 5, in <module>
  File "/usr/local/lib64/python3.6/site-packages/apache_beam/pipeline.py", line 586, in __exit__
    self.result.wait_until_finish()
  File "/usr/local/lib64/python3.6/site-packages/apache_beam/runners/portability/portable_runner.py", line 599, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline BeamApp-swarna0kpaul-0712135603-763999c_45da372e-757d-4690-8e25-1a5ed0a5cc84 failed in state FAILED: java.lang.IllegalArgumentException: PCollectionNodes [PCollectionNode{id=ref_PCollection_PCollection_1, PCollection=unique_name: "23 Read from Pub/Sub/Read.None"
coder_id: "ref_Coder_BytesCoder_1"
is_bounded: UNBOUNDED
windowing_strategy_id: "ref_Windowing_Windowing_1"
}] were consumed but never produced

我正在尝试运行以下代码Python我正在尝试使用我在GCP帐户中创建的2个发布/订阅主题（{输入主题}，{输出主题}）主题采用这种格式-项目/{项目名称}/主题/{主题名称}

import apache_beam as beam
from apache_beam.options.pipeline_options import PipelineOptions
input_topic=<input topic>
output_topic=<output topic>
options = PipelineOptions(["--runner=FlinkRunner", "--checkpointing_interval=1000","--streaming"])
with beam.Pipeline(options=options ) as pipeline:
  input1 = pipeline | " Read from Pub/Sub" >> beam.io.ReadFromPubSub(topic=input_topic).with_output_types(bytes)
  output = (input1
            |beam.WindowInto(beam.transforms.window.FixedWindows(5))
            |"Write to Pub/Sub" >>beam.io.WriteToPubSub(topic=output_topic, with_attributes=False).with_input_types(bytes))

系统中提供了以下版本的软件

Python 3.6.8
apache_beam [gcp]==2.30.0
java -version
openjdk version "1.8.0_292"
OpenJDK Runtime Environment (build 1.8.0_292-b10)
OpenJDK 64-Bit Server VM (build 25.292-b10, mixed mode)

我尝试按照本页中的规范使用flink集群和便携式flink运行器运行此功能，但收到相同的错误。

当我使用以下选项时，相同的代码运行良好

options = PipelineOptions(["--streaming"])