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https://issues.apache.org/jira/browse/BEAM-13225?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17491621#comment-17491621
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Beam JIRA Bot commented on BEAM-13225:
--------------------------------------
This issue is assigned but has not received an update in 30 days so it has been
labeled "stale-assigned". If you are still working on the issue, please give an
update and remove the label. If you are no longer working on the issue, please
unassign so someone else may work on it. In 7 days the issue will be
automatically unassigned.
> Dataflow Prime job fails when providing resource hints on a transform
> ---------------------------------------------------------------------
>
> Key: BEAM-13225
> URL: https://issues.apache.org/jira/browse/BEAM-13225
> Project: Beam
> Issue Type: Bug
> Components: runner-dataflow
> Affects Versions: 2.32.0
> Reporter: Brent Worden
> Assignee: Heejong Lee
> Priority: P2
> Labels: stale-assigned
>
> I have a classic Dataflow template written using the Apache Beam Java SDK
> v2.32.0. The template simply consumes messages from a Pub/Sub subscription
> and writes them to Google Cloud Storage.
> The template can successfully be used to run jobs with [Dataflow
> Prime|https://cloud.google.com/dataflow/docs/guides/enable-dataflow-prime]
> experimental features enabled through {{\-\-additional-experiments
> enable_prime}} and providing a pipeline level resource hint using
> {{\-\-parameters=resourceHints=min_ram=8GiB}}:
> {code}
> gcloud dataflow jobs run my-job-name \
> --additional-experiments enable_prime \
> --disable-public-ips \
> --gcs-location gs://bucket/path/to/template \
> --num-workers 1 \
> --max-workers 16 \
> --parameters=resourceHints=min_ram=8GiB,other_pipeline_options=true \
> --project my-project \
> --region us-central1 \
> --service-account-email
> [email protected] \
> --staging-location gs://bucket/path/to/staging
> --subnetwork
> https://www.googleapis.com/compute/v1/projects/my-project/regions/us-central1/subnetworks/my-subnet
> {code}
> In an attempt to use Dataflow Prime's [Right
> Fitting|https://cloud.google.com/dataflow/docs/guides/right-fitting]
> capability, I change the pipeline code to include a resource hint on the
> FileIO transform:
> {code}
> class WriteGcsFileTransform
> extends PTransform<PCollection<Input>, WriteFilesResult<Destination>> {
> private static final long serialVersionUID = 1L;
> @Override
> public WriteFilesResult<Destination> expand(PCollection<Input> input) {
> return input.apply(
> FileIO.<Destination, Input>writeDynamic()
> .by(myDynamicDestinationFunction)
> .withDestinationCoder(Destination.coder())
> .withNumShards(8)
> .withNaming(myDestinationFileNamingFunction)
> .withTempDirectory("gs://bucket/path/to/temp")
> .withCompression(Compression.GZIP)
> .setResourceHints(ResourceHints.create().withMinRam("32GiB"))
> );
> }
> {code}
> Attempting to run jobs from a template based on the new code results in a
> continuous crash loop with the job never successfully running. The lone
> repeated error log entry is:
> {code}
> {
> "insertId":
> "s=97e1ecd30e0243609d555685318325b4;i=4e1;b=6c7f5d65f3994eada5f20672dab1daf1;m=912f16c;t=5d024689cb030;x=b36751718b3d80c1",
> "jsonPayload": {
> "line": "pod_workers.go:191",
> "message": "Error syncing pod 4cf7cbf98df4b5e2d054abce7da1262b
> (\"df-df-hvm-my-job-name-11061310-qn51-harness-jb9f_default(4cf7c6bf982df4b5eb2d054abce7da12)\"),
> skipping: failed to \"StartContainer\" for \"artifact\" with
> CrashLoopBackOff: \"back-off 40s restarting failed container=artifact
> pod=df-df-hvm-my-job-name-11061310-qn51-harness-jb9f_default(4cf7c6bf982df4b5eb2d054abce7da12)\"",
> "thread": "807"
> },
> "resource": {
> "type": "dataflow_step",
> "labels": {
> "project_id": "my-project",
> "region": "us-central1",
> "step_id": "",
> "job_id": "2021-11-06_12_10_27-510057810808146686",
> "job_name": "my-job-name"
> }
> },
> "timestamp": "2021-11-06T20:14:36.052491Z",
> "severity": "ERROR",
> "labels": {
> "compute.googleapis.com/resource_type": "instance",
> "dataflow.googleapis.com/log_type": "system",
> "compute.googleapis.com/resource_id": "4695846446965678007",
> "dataflow.googleapis.com/job_name": "my-job-name",
> "dataflow.googleapis.com/job_id":
> "2021-11-06_12_10_27-510057810808146686",
> "dataflow.googleapis.com/region": "us-central1",
> "dataflow.googleapis.com/service_option": "prime",
> "compute.googleapis.com/resource_name":
> "df-hvm-my-job-name-11061310-qn51-harness-jb9f"
> },
> "logName": "projects/my-project/logs/dataflow.googleapis.com%2Fkubelet",
> "receiveTimestamp": "2021-11-06T20:14:46.471285909Z"
> }
> {code}
> If the pipeline level resources hints and step level resources hint are both
> set to 8GiB, the pipeline fails with the same repetitive error.
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