Altan Sener
03/31/2026, 8:05 PMkapa.ai
03/31/2026, 8:05 PMairbyte_workspace Docker volume. First, identify your Job ID and Attempt ID from the Airbyte UI (e.g., job 9, attempt 0 â path /data/9/0).
Open an interactive shell to browse the volume:
docker run -it --rm --volume airbyte_workspace:/data busybox
ls /data/9/0/
Or run commands directly from your host shell:
docker run -it --rm --volume airbyte_workspace:/data busybox ls /data/9/0
Read the log file:
docker run -it --rm --volume airbyte_workspace:/data busybox cat /data/9/0/logs.log
Copy a file (e.g., catalog) to your local machine:
docker cp airbyte-server:/tmp/workspace/9/0/catalog.json .
cat catalog.json
[Exploring Local Logs] Kubernetes If you're running Airbyte on Kubernetes, use kubectl instead:
Exec into the relevant pod:
kubectl exec -it <pod-name> -n <namespace> -c main bash
# Example:
kubectl exec -it destination-bigquery-worker-3607-0-chlle -n jobs -c main bash
Copy a file from the pod to your local machine:
kubectl cp <namespace>/<pod-name>:/config/destination_catalog.json ./catalog.json
# Example:
kubectl cp jobs/normalization-worker-3605-0-sxtox:/config/destination_catalog.json ./catalog.json
cat ./catalog.json
[Browsing on Kubernetes] > Tip: When troubleshooting, search the logs for keywords like Error, Exception, or Fail to quickly find relevant issues. đ 0 button đ 0 button âšī¸ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.Altan Sener
03/31/2026, 8:09 PM