在Apache上运行流管道(python)时,我面临以下错误。该管道包含一个GCP pub/sub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我试图在Python中运行以下代码,我试图使用我在GCP帐户中创建的两个发布/子主题({input },{output })运行- projects/{project }/ topics /{ topics }
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))以下版本的软件可在系统中使用
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)我试着按照这页面中的规范使用flink集群和可移植的flink运行器来运行,但是得到了相同的错误。
当我使用以下选项时,相同的代码运行良好
options = PipelineOptions(["--streaming"])发布于 2022-05-20 14:36:46
apache_beam.io.ReadFromPubsub()转换只适用于DirectRunner和Dataflow Runner,但是有一个外部转换可以尝试:apache_beam.io.external.gcp.pubsub.ReadFromPubSub,请参阅:beam/io/external/gcp/pubsub.py#L39
https://stackoverflow.com/questions/68342095
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