我一直在使用 Go Beam SDK (v2.13.0)，但无法获取字数统计示例致力于 GCP 数据流。它进入崩溃循环尝试启动org.apache.beam.runners.dataflow.worker.DataflowRunnerHarness。使用 Direct 运行程序在本地运行时，该示例可以正确执行。
该示例与上面给出的原始示例完全没有修改。
堆栈跟踪是：
org.apache.beam.vendor.grpc.v1p13p1.com.google.protobuf.InvalidProtocolBufferException: Protocol message had invalid UTF-8.
at org.apache.beam.vendor.grpc.v1p13p1.com.google.protobuf.InvalidProtocolBufferException.invalidUtf8(InvalidProtocolBufferException.java:148)
at org.apache.beam.vendor.grpc.v1p13p1.com.google.protobuf.CodedInputStream$StreamDecoder.readStringRequireUtf8(CodedInputStream.java:2353)
at org.apache.beam.model.pipeline.v1.RunnerApi$FunctionSpec.<init>(RunnerApi.java:59611)
at org.apache.beam.model.pipeline.v1.RunnerApi$FunctionSpec.<init>(RunnerApi.java:59572)
at org.apache.beam.model.pipeline.v1.RunnerApi$FunctionSpec$1.parsePartialFrom(RunnerApi.java:60241)
at org.apache.beam.model.pipeline.v1.RunnerApi$FunctionSpec$1.parsePartialFrom(RunnerApi.java:60235)
at org.apache.beam.vendor.grpc.v1p13p1.com.google.protobuf.CodedInputStream$StreamDecoder.readMessage(CodedInputStream.java:2424)
at org.apache.beam.model.pipeline.v1.RunnerApi$Coder.<init>(RunnerApi.java:27531)
at org.apache.beam.model.pipeline.v1.RunnerApi$Coder.<init>(RunnerApi.java:27489)
at org.apache.beam.model.pipeline.v1.RunnerApi$Coder$1.parsePartialFrom(RunnerApi.java:28410)
at org.apache.beam.model.pipeline.v1.RunnerApi$Coder$1.parsePartialFrom(RunnerApi.java:28404)
at org.apache.beam.model.pipeline.v1.RunnerApi$Coder$Builder.mergeFrom(RunnerApi.java:28028)
at org.apache.beam.model.pipeline.v1.RunnerApi$Coder$Builder.mergeFrom(RunnerApi.java:27868)
at org.apache.beam.vendor.grpc.v1p13p1.com.google.protobuf.CodedInputStream$StreamDecoder.readMessage(CodedInputStream.java:2408)
at org.apache.beam.vendor.grpc.v1p13p1.com.google.protobuf.MapEntryLite.parseField(MapEntryLite.java:128)
at org.apache.beam.vendor.grpc.v1p13p1.com.google.protobuf.MapEntryLite.parseEntry(MapEntryLite.java:184)
at org.apache.beam.vendor.grpc.v1p13p1.com.google.protobuf.MapEntry.<init>(MapEntry.java:106)
at org.apache.beam.vendor.grpc.v1p13p1.com.google.protobuf.MapEntry.<init>(MapEntry.java:50)
at org.apache.beam.vendor.grpc.v1p13p1.com.google.protobuf.MapEntry$Metadata$1.parsePartialFrom(MapEntry.java:70)
at org.apache.beam.vendor.grpc.v1p13p1.com.google.protobuf.MapEntry$Metadata$1.parsePartialFrom(MapEntry.java:64)
at org.apache.beam.vendor.grpc.v1p13p1.com.google.protobuf.CodedInputStream$StreamDecoder.readMessage(CodedInputStream.java:2424)
at org.apache.beam.model.pipeline.v1.RunnerApi$Components.<init>(RunnerApi.java:930)
at org.apache.beam.model.pipeline.v1.RunnerApi$Components.<init>(RunnerApi.java:848)
at org.apache.beam.model.pipeline.v1.RunnerApi$Components$1.parsePartialFrom(RunnerApi.java:2714)
at org.apache.beam.model.pipeline.v1.RunnerApi$Components$1.parsePartialFrom(RunnerApi.java:2708)
at org.apache.beam.vendor.grpc.v1p13p1.com.google.protobuf.CodedInputStream$StreamDecoder.readMessage(CodedInputStream.java:2424)
at org.apache.beam.model.pipeline.v1.RunnerApi$Pipeline.<init>(RunnerApi.java:2892)
at org.apache.beam.model.pipeline.v1.RunnerApi$Pipeline.<init>(RunnerApi.java:2850)
at org.apache.beam.model.pipeline.v1.RunnerApi$Pipeline$1.parsePartialFrom(RunnerApi.java:3981)
at org.apache.beam.model.pipeline.v1.RunnerApi$Pipeline$1.parsePartialFrom(RunnerApi.java:3975)
at org.apache.beam.vendor.grpc.v1p13p1.com.google.protobuf.AbstractParser.parsePartialFrom(AbstractParser.java:221)
at org.apache.beam.vendor.grpc.v1p13p1.com.google.protobuf.AbstractParser.parseFrom(AbstractParser.java:239)
at org.apache.beam.vendor.grpc.v1p13p1.com.google.protobuf.AbstractParser.parseFrom(AbstractParser.java:244)
at org.apache.beam.vendor.grpc.v1p13p1.com.google.protobuf.AbstractParser.parseFrom(AbstractParser.java:49)
at org.apache.beam.vendor.grpc.v1p13p1.com.google.protobuf.GeneratedMessageV3.parseWithIOException(GeneratedMessageV3.java:311)
at org.apache.beam.model.pipeline.v1.RunnerApi$Pipeline.parseFrom(RunnerApi.java:3222)
at org.apache.beam.runners.dataflow.worker.DataflowWorkerHarnessHelper.getPipelineFromEnv(DataflowWorkerHarnessHelper.java:131)
at org.apache.beam.runners.dataflow.worker.DataflowRunnerHarness.main(DataflowRunnerHarness.java:59)
我正在使用中指定的 docker 映像example并且还从我自己的 docker 使用相同的标签（v2.13.0）进行了尝试，但仍然遇到相同的错误。我意识到它还没有准备好投入生产，但我希望样品能够工作。
按照开始的说明，我像这样运行了这项工作：
wordcount --input gs://dataflow-samples/shakespeare/kinglear.txt \
--output gs://example-bucket/counts \
--runner dataflow \
--project example-project \
--temp_location gs://example-bucket/tmp/ \
--staging_location gs://example-bucket/binaries/ \
--worker_harness_container_image=apache-docker-beam-snapshots-docker.bintray.io/beam/go:20180515
我再次尝试了入门中提供的 docker，以及使用 v2.13.0 构建的 docker。
我的示例文件 go.mod 是：
module example.org/wordcount
go 1.12
require (
cloud.google.com/go v0.41.0 // indirect
github.com/apache/beam v2.13.0+incompatible
github.com/pkg/errors v0.8.1 // indirect
golang.org/x/net v0.0.0-20190628185345-da137c7871d7 // indirect
google.golang.org/grpc v1.22.0 // indirect
)
可能是什么原因造成的？
Dataflow 不正式支持 Apache Beam Go SDK。不过，一些用户已经能够使用它。我怀疑这个版本可能有问题。您也许可以尝试不同的版本。
您可以与其他用户讨论光束邮件列表关于哪些版本适用于他们（尽管不受支持）。
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