为什么我遇到 "Error syncing pod" with Dataflow pipeline？

Question

当我想使用 PyPI 中的特定库时，我的数据流管道出现了一个奇怪的错误。

我在 ParDo 中需要 jsonschema，因此，在我的 requirements.txt 文件中，我添加了 jsonschema==3.2.0。我使用以下命令行启动我的管道：

python -m gcs_to_all \
    --runner DataflowRunner \
    --project <my-project-id> \
    --region europe-west1 \
    --temp_location gs://<my-bucket-name>/temp/ \
    --input_topic "projects/<my-project-id>/topics/<my-topic>" \
    --network=<my-network> \
    --subnetwork=<my-subnet> \
    --requirements_file=requirements.txt \
    --experiments=allow_non_updatable_job \
    --streaming

在终端中，一切似乎都很好：

INFO:root:2020-01-03T09:18:35.569Z: JOB_MESSAGE_BASIC: Worker configuration: n1-standard-4 in europe-west1-b.
INFO:root:2020-01-03T09:18:35.806Z: JOB_MESSAGE_WARNING: The network default doesn't have rules that open TCP ports 12345-12346 for internal connection with other VMs. Only rules with a target tag 'dataflow' or empty target tags set apply. If you don't specify such a rule, any pipeline with more than one worker that shuffles data will hang. Causes: Firewall rules associated with your network don't open TCP ports 12345-12346 for Dataflow instances. If a firewall rule opens connection in these ports, ensure target tags aren't specified, or that the rule includes the tag 'dataflow'.
INFO:root:2020-01-03T09:18:48.549Z: JOB_MESSAGE_DETAILED: Workers have started successfully.

Dataflow 网页上的日志选项卡中哪里没有错误，但在 stackdriver 中：

message: "Error syncing pod 6515c378c6bed37a2c0eec1fcfea300c ("<dataflow-id>--01030117-c9pc-harness-5lkv_default(6515c378c6bed37a2c0eec1fcfea300c)"), skipping: [failed to "StartContainer" for "sdk0" with CrashLoopBackOff: "Back-off 10s restarting failed container=sdk0 pod=<dataflow-id>--01030117-c9pc-harness-5lkv_default(6515c378c6bed37a2c0eec1fcfea300c)""
message: ", failed to "StartContainer" for "sdk1" with CrashLoopBackOff: "Back-off 5m0s restarting failed container=sdk1 pod=<dataflow-id>--01030117-c9pc-harness-5lkv_default(6515c378c6bed37a2c0eec1fcfea300c)"" 
message: ", failed to "StartContainer" for "sdk2" with CrashLoopBackOff: "Back-off 5m0s restarting failed container=sdk2 pod=<dataflow-id>--01030117-c9pc-harness-5lkv_default(6515c378c6bed37a2c0eec1fcfea300c)"" 
message: ", failed to "StartContainer" for "sdk3" with CrashLoopBackOff: "Back-off 5m0s restarting failed container=sdk3 pod=<dataflow-id>--01030117-c9pc-harness-5lkv_default(6515c378c6bed37a2c0eec1fcfea300c)""

我也发现这个错误（在信息模式下）：

Collecting jsonschema (from -r /var/opt/google/staged/requirements.txt (line 1))
  Installing build dependencies: started
Looking in links: /var/opt/google/staged
  Installing build dependencies: started
Collecting jsonschema (from -r /var/opt/google/staged/requirements.txt (line 1))
  Installing build dependencies: started
Looking in links: /var/opt/google/staged
Collecting jsonschema (from -r /var/opt/google/staged/requirements.txt (line 1))
  Installing build dependencies: started
  Installing build dependencies: finished with status 'error'
  ERROR: Command errored out with exit status 1:
   command: /usr/local/bin/python3 /usr/local/lib/python3.7/site-packages/pip install --ignore-installed --no-user --prefix /tmp/pip-build-env-mdurhav9/overlay --no-warn-script-location --no-binary :none: --only-binary :none: --no-index --find-links /var/opt/google/staged -- 'setuptools>=40.6.0' wheel
       cwd: None
  Complete output (5 lines):
  Looking in links: /var/opt/google/staged
  Collecting setuptools>=40.6.0
  Collecting wheel
    ERROR: Could not find a version that satisfies the requirement wheel (from versions: none)
  ERROR: No matching distribution found for wheel

但是不知道为什么能得到这个依赖...

你知道我该如何调试吗？或者为什么我会遇到这个错误？

谢谢

Answer 1

当 Dataflow worker 启动时，他们执行几个步骤：

安装来自 requirements.txt
安装指定为 extra_packages
安装工作流 tarball 并执行 setup.py 中提供的操作。

Error syncing pod 和 CrashLoopBackOff 消息可能与依赖冲突有关。您需要验证与用于作业的库和版本没有冲突。请参阅 documentation 以了解暂存所需的管道依赖项。

此外，请查看 preinstalled dependencies and this Whosebug thread。

您可以尝试更改 jsonschema 的版本并再次尝试运行。如果没有帮助，请提供 requirements.txt 文件。

希望对你有所帮助

为什么我遇到 "Error syncing pod" with Dataflow pipeline？

Why did I encounter an "Error syncing pod" with Dataflow pipeline?

python

kubernetes

google-cloud-dataflow