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[stream/ws_client] Reading long stdout is truncated at 32768 chars #190

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ddelange opened this issue Apr 1, 2020 · 18 comments
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[stream/ws_client] Reading long stdout is truncated at 32768 chars #190

ddelange opened this issue Apr 1, 2020 · 18 comments
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ddelange commented Apr 1, 2020 •
edited

python-base/stream/ws_client.py

Line 105 in b87a5fe

def read_channel(self, channel, timeout=0):

it seems that read_channel does not support data longer than 32768 (2**15) characters.

Below is the traceback for these lines. The line linked sends a command to a sidecar of a pod to get the result.json file that the pod dumps: it basically does kubernetes.stream.stream.write_stdin('cat /file.json') and then a kubernetes.stream.stream.read_stdout() which gives back the json truncated at 32768 characters. Here's the full json manually extracted from the pod: file.json.

Is there a minimal working example/unittest anywhere we can a add long stdout to, so we can rule out our k8s config?

[2020-04-01 10:04:06,224] {pod_launcher.py:129} INFO - Container task-domain-to-description-b45f711b has state running
[2020-04-01 10:04:08,274] {pod_launcher.py:217} INFO - Running command... cat /airflow/xcom/return.json
[2020-04-01 10:04:08,334] {pod_launcher.py:217} INFO - Running command... kill -s SIGINT 1
[2020-04-01 10:04:08,337] {pod_launcher.py:132} INFO - "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
[2020-04-01 10:04:08,346] {taskinstance.py:1128} ERROR - Unterminated string starting at: line 1 column 1 (char 0)
Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/airflow/models/taskinstance.py", line 966, in _run_raw_task
    result = task_copy.execute(context=context)
  File "/usr/local/lib/python3.7/site-packages/airflow/contrib/operators/kubernetes_pod_operator.py", line 251, in execute
    get_logs=self.get_logs)
  File "/usr/local/lib/python3.7/site-packages/airflow/contrib/kubernetes/pod_launcher.py", line 117, in run_pod
    return self._monitor_pod(pod, get_logs)
  File "/usr/local/lib/python3.7/site-packages/airflow/contrib/kubernetes/pod_launcher.py", line 133, in _monitor_pod
    result = json.loads(result)
  File "/usr/local/lib/python3.7/json/__init__.py", line 348, in loads
    return _default_decoder.decode(s)
  File "/usr/local/lib/python3.7/json/decoder.py", line 337, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
  File "/usr/local/lib/python3.7/json/decoder.py", line 353, in raw_decode
    obj, end = self.scan_once(s, idx)
json.decoder.JSONDecodeError: Unterminated string starting at: line 1 column 1 (char 0)
@roycaihw
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/lifecycle stale

@k8s-ci-robot k8s-ci-robot added the lifecycle/stale Denotes an issue or PR has remained open with no activity and has become stale. label Jul 12, 2020
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/remove-lifecycle stale

@k8s-ci-robot k8s-ci-robot removed the lifecycle/stale Denotes an issue or PR has remained open with no activity and has become stale. label Jul 12, 2020
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/lifecycle stale

@k8s-ci-robot k8s-ci-robot added the lifecycle/stale Denotes an issue or PR has remained open with no activity and has become stale. label Oct 10, 2020
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/remove-lifecycle stale

@k8s-ci-robot k8s-ci-robot removed the lifecycle/stale Denotes an issue or PR has remained open with no activity and has become stale. label Oct 10, 2020
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Issues go stale after 90d of inactivity.
Mark the issue as fresh with /remove-lifecycle stale.
Stale issues rot after an additional 30d of inactivity and eventually close.

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/lifecycle stale

@k8s-ci-robot k8s-ci-robot added the lifecycle/stale Denotes an issue or PR has remained open with no activity and has become stale. label Jan 8, 2021
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ddelange commented Jan 8, 2021

/remove-lifecycle stale

@k8s-ci-robot k8s-ci-robot removed the lifecycle/stale Denotes an issue or PR has remained open with no activity and has become stale. label Jan 8, 2021
@Paul424
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Paul424 commented Mar 22, 2021

I'm seeing the same issue with kubernetes==11.0.0 not sure if it will fix the issue but i'm overriding the default _extract_xcom and _exec_pod_command to validate the json document returned and retry on error. Also i'm using run_forever with a timeout to have the wsclient concat the responses.

Not sure if it is stable yet however...

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@Paul424 are there any issues/pulls you can link to?

@Paul424
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Paul424 commented Mar 23, 2021

I spend today on trying various fixes, ultimately following code seems to work for me (sorry not yet in a PR).

Notice this is Airflow code (KubernetesPodOperator).

Changes i made:

  • the cat/kill are run as command and no longer fed in to stdin
  • using the run_forever/read_all similar to what the wsclient would do in case of _preload_content=true

I wanted to use _preload_content=True for both btw but couldn't since it would json load the content and then serialize it to string format. While i need the raw json string data instead.

Btw root-cause is still unknown to me. And honestly these layers are also too complex for me to follow...

`class PodLauncher_(PodLauncher):
def init(self, *args, **kwargs):
super(PodLauncher_, self).init(*args, **kwargs)

def _extract_xcom(self, pod: V1Pod):
    try:
        self.log.info(f'Running command... cat {PodDefaults.XCOM_MOUNT_PATH}/return.json')

        # Can't use _preload_content=True because that would return str(json.load(response))
        client = kubernetes_stream(
            self._client.connect_get_namespaced_pod_exec,
            pod.metadata.name,
            pod.metadata.namespace,
            container=PodDefaults.SIDECAR_CONTAINER_NAME,
            command=[
                '/bin/sh',
                '-c',
                f'cat {PodDefaults.XCOM_MOUNT_PATH}/return.json',
            ],
            stderr=True,
            stdin=False,
            stdout=True,
            tty=False,
            _preload_content=False,
            _request_timeout=10,
        )
        client.run_forever(timeout=10)
        resp = client.read_all()
        self.log.info("Received {} ({}) ({} ... {}))".format(type(resp), len(resp), resp[:64], resp[-64:]))

        # validate it's valid json
        _ = json.loads(resp)

        # Terminate the sidecar
        _ = kubernetes_stream(
            self._client.connect_get_namespaced_pod_exec,
            pod.metadata.name,
            pod.metadata.namespace,
            container=PodDefaults.SIDECAR_CONTAINER_NAME,
            command=[
                '/bin/sh',
                '-c',
                'kill -s SIGINT 1',
            ],
            stderr=True,
            stdin=False,
            stdout=True,
            tty=False,
            _preload_content=True,
            _request_timeout=10,
        )

        return resp

    except JSONDecodeError:
        message = f'Failed to decode json document from pod: {pod.metadata.name}'
        self.log.exception(message)
        raise AirflowException(message)

    except Exception as e:
        message = f'Failed to extract xcom from pod: {pod.metadata.name}'
        self.log.exception(message)
        raise AirflowException(message)

`

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Issues go stale after 90d of inactivity.
Mark the issue as fresh with /remove-lifecycle stale.
Stale issues rot after an additional 30d of inactivity and eventually close.

If this issue is safe to close now please do so with /close.

Send feedback to sig-contributor-experience at kubernetes/community.
/lifecycle stale

@k8s-ci-robot k8s-ci-robot added the lifecycle/stale Denotes an issue or PR has remained open with no activity and has become stale. label Jun 21, 2021
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/remove-lifecycle stale

@k8s-ci-robot k8s-ci-robot removed the lifecycle/stale Denotes an issue or PR has remained open with no activity and has become stale. label Jun 24, 2021
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The Kubernetes project currently lacks enough contributors to adequately respond to all issues and PRs.

This bot triages issues and PRs according to the following rules:

  • After 90d of inactivity, lifecycle/stale is applied
  • After 30d of inactivity since lifecycle/stale was applied, lifecycle/rotten is applied
  • After 30d of inactivity since lifecycle/rotten was applied, the issue is closed

You can:

  • Mark this issue or PR as fresh with /remove-lifecycle stale
  • Mark this issue or PR as rotten with /lifecycle rotten
  • Close this issue or PR with /close
  • Offer to help out with Issue Triage

Please send feedback to sig-contributor-experience at kubernetes/community.

/lifecycle stale

@k8s-ci-robot k8s-ci-robot added the lifecycle/stale Denotes an issue or PR has remained open with no activity and has become stale. label Sep 22, 2021
@ddelange
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/remove-lifecycle stale

@k8s-ci-robot k8s-ci-robot removed the lifecycle/stale Denotes an issue or PR has remained open with no activity and has become stale. label Sep 22, 2021
@k8s-triage-robot
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The Kubernetes project currently lacks enough contributors to adequately respond to all issues and PRs.

This bot triages issues and PRs according to the following rules:

  • After 90d of inactivity, lifecycle/stale is applied
  • After 30d of inactivity since lifecycle/stale was applied, lifecycle/rotten is applied
  • After 30d of inactivity since lifecycle/rotten was applied, the issue is closed

You can:

  • Mark this issue or PR as fresh with /remove-lifecycle stale
  • Mark this issue or PR as rotten with /lifecycle rotten
  • Close this issue or PR with /close
  • Offer to help out with Issue Triage

Please send feedback to sig-contributor-experience at kubernetes/community.

/lifecycle stale

@k8s-ci-robot k8s-ci-robot added the lifecycle/stale Denotes an issue or PR has remained open with no activity and has become stale. label Dec 21, 2021
@Frankkkkk
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/remove-lifecycle stale

@k8s-ci-robot k8s-ci-robot removed the lifecycle/stale Denotes an issue or PR has remained open with no activity and has become stale. label Dec 21, 2021
@ddelange ddelange mentioned this issue Jan 15, 2022
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@roycaihw
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This repo has been merged into the main python repo. We are archiving this repo. Please open a new issue in the main repo. Thanks!

/close

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@roycaihw: Closing this issue.

In response to this:

This repo has been merged into the main python repo. We are archiving this repo. Please open a new issue in the main repo. Thanks!

/close

Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes/test-infra repository.

@paramjeet01 paramjeet01 mentioned this issue Apr 25, 2024
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2 tasks
@paramjeet01 paramjeet01 mentioned this issue May 5, 2024
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@Paul424 @roycaihw @ddelange @Frankkkkk @k8s-ci-robot @fejta-bot @k8s-triage-robot