Syncs taking almost an hour for <20kb of data

  • Is this your first time deploying Airbyte?: No
  • OS Version / Instance: Linux, AWS EKS
  • Memory / Disk: N/A
  • Deployment: Kubernetes
  • Airbyte Version: 0.40.28
  • Source name/version: HubSpot
  • Destination name/version: S3
  • Step: The issue happens during a sync

We have about 80 active connections in airbyte. Based on the logs, it looks like the data had finished pulling, but it would get hung up. Note the varying sync times in the screen shot for <20kb of data synced. I’ve already set our airbyte-worker replica to 2 and resources are quite healthy in terms of cpu and memory across nodes and pods.

Is there a setting I need to to tweak for the syncs to complete quicker?
b0c6d25f_83d6_4585_9cbf_9d39f54d6cea_logs_461120_txt.txt (90.6 KB)

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The first line of log:

2023-01-30 17:54:01 e[32mINFOe[m i.a.v.j.JsonSchemaValidator(test):130 - JSON schema validation failed.

The last line:

2023-01-30 18:00:06 e[32mINFOe[m i.a.w.t.s.ReplicationActivityImpl(getContainerLauncherWorkerFactory):333 - received response from from jobsApi.getJobInfoLight: class JobInfoLightRead

From logs the job took 6 min. Maybe you’re using a small cluster and this time is the waiting to have free resources to start the job.

I changed the MAX_SYNC_WORKERS and the sync speeds had increased. Is there a rule of thumb for how to configure MAX_SYNC_WORKERS and the number of airbyte-worker replica?

Today we don’t have a guide to configure those parameters :frowning:

Got it, no worries! thanks for your help