[GitHub] [beam] damccorm opened a new issue, #21224: Dataflow Prime job fails when providing resource hints on a transform

[GitBox <gi...@apache.org>]

damccorm opened a new issue, #21224:
URL: https://github.com/apache/beam/issues/21224

   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`:
   ```
   
   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 my-service-account@my-project.iam.gserviceaccount.com
   \
     --staging-location gs://bucket/path/to/staging
     --subnetwork https://www.googleapis.com/compute/v1/projects/my-project/regions/us-central1/subnetworks/my-subnet
   
   ```
   
   
   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:
   ```
   
   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"))
           );
     }
   
   ```
   
   
   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:
   ```
   
   {
     "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"
   }
   
   ```
   
   
   If the pipeline level resources hints and step level resources hint are both set to 8GiB, the pipeline fails with the same repetitive error.
   
   Imported from Jira [BEAM-13225](https://issues.apache.org/jira/browse/BEAM-13225). Original Jira may contain additional context.
   Reported by: brentworden.


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