Murilo Nigris
12/17/2025, 6:27 PMkapa.ai
12/17/2025, 6:28 PMstate table. [[Incremental tutorial](https://airbyte.com/tutorials/incremental-data-synchronization#step-2)] - There is an open GitHub issue requesting better logging of HTTP calls and cursor values for debugging custom connectors, which implies this level of detail is not currently available by default in logs. [[Log HTTP calls issue](https://github.com/airbytehq/airbyte/issues/52077)] So, based on the available docs: - You can see the stored cursor value by querying the internal state table, but - There is no documented option in Connector Builder or the UI logs to directly display “cursor timestamp used for this sync” in the job logs. If you need that visibility, the current path (per the issue) is to rely on state inspection or follow/participate in the feature request for enhanced logging. [[Incremental tutorial](https://airbyte.com/tutorials/incremental-data-synchronization#step-2); [Log HTTP calls issue](https://github.com/airbytehq/airbyte/issues/52077)]Murilo Nigris
12/17/2025, 6:29 PMkapa.ai
12/17/2025, 6:29 PMkapa.ai
12/17/2025, 6:29 PMstate table by connecting directly to Airbyte’s internal Postgres database and running a simple SQL query. 1. Open a shell into the Airbyte DB container and connect to Postgres: bash docker exec -ti airbyte-db psql -U docker -d airbyte 2. Once in psql, query the state table: sql SELECT * FROM state; This will show you the stored state JSON (including cursor values) per connection. [[Incremental sync tutorial](https://airbyte.com/tutorials/incremental-data-synchronization#step-2)]Murilo Nigris
12/17/2025, 6:33 PMkapa.ai
12/17/2025, 6:33 PMkapa.ai
12/17/2025, 6:33 PMabctl, Airbyte runs inside a local Kubernetes (kind) cluster, so you can’t use docker exec airbyte-db directly. The knowledge sources don’t document an explicit, step‑by‑step way to reach the internal Postgres in an abctl deployment, so the exact commands may differ by version and setup. I’ll outline what is documented and where the gap is. What we know: - abctl installs Airbyte into a kind cluster on your local machine. You can interact with resources in that cluster using standard tools like kubectl and helm, pointing them at the kubeconfig created by abctl (for example: kubectl --kubeconfig ~/.airbyte/abctl/abctl.kubeconfig --namespace airbyte-abctl get pods). [[abctl troubleshoot FAQ](https://docs.airbyte.com/platform/deploying-airbyte/troubleshoot-deploy#faq)] - In a Docker deployment (not abctl), you can connect to the internal DB with: docker exec -ti airbyte-db psql -U docker -d airbyte and then SELECT * FROM state;. [[Incremental sync tutorial](https://airbyte.com/tutorials/incremental-data-synchronization#step-2)] What is not documented in the provided sources: - The exact pod name, service name, or psql command to reach the internal Postgres when using abctl. - A ready‑made kubectl exec or port‑forward example specifically for querying the state table in an abctl deployment. Given this, the documented approach is: 1. Use kubectl with the abctl kubeconfig to inspect the cluster and find the Postgres pod/service: bash kubectl --kubeconfig ~/.airbyte/abctl/abctl.kubeconfig --namespace airbyte-abctl get pods [[abctl troubleshoot FAQ](https://docs.airbyte.com/platform/deploying-airbyte/troubleshoot-deploy#faq)] 2. Once you identify the Postgres pod and credentials, you would kubectl exec into that pod and run psql similarly to the Docker example, then: sql SELECT * FROM state; [[Incremental sync tutorial](https://airbyte.com/tutorials/incremental-data-synchronization#step-2)] However, because the knowledge sources don’t specify the exact pod name, DB user, or DB name for the abctl deployment, I can’t safely give you concrete one‑line commands without guessing. If you’d like, you can share the output of: bash kubectl --kubeconfig ~/.airbyte/abctl/abctl.kubeconfig --namespace airbyte-abctl get pods and I can help you interpret it and suggest the next kubectl exec step, staying within what’s visible from your environment.Murilo Nigris
12/17/2025, 6:37 PMkapa.ai
12/17/2025, 6:37 PMkapa.ai
12/17/2025, 6:37 PMabctl, you should connect to Postgres via kubectl exec into the airbyte-db-0 pod, using the kubeconfig and namespace that abctl created. The docs show how to target that cluster and namespace; the pod name airbyte-db-0 matches what’s documented. [[Developing locally 1.7](https://docs.airbyte.com/platform/1.7/contributing-to-airbyte/developing-locally#using-abctl-for-airbyte-development); [abctl troubleshoot](https://docs.airbyte.com/platform/deploying-airbyte/troubleshoot-deploy#faq)] From the knowledge sources, the pattern is: 1. Point kubectl at the abctl cluster: bash kind export kubeconfig -n airbyte-abctl kubectl get pods -n airbyte-abctl You’ve already confirmed there is a pod airbyte-db-0. [[Developing locally 1.7](https://docs.airbyte.com/platform/1.7/contributing-to-airbyte/developing-locally#using-abctl-for-airbyte-development)] 2. Exec into the DB pod and open psql (user/db names are not explicitly documented for abctl, so this part may require you to adjust based on your setup): bash kubectl exec -it -n airbyte-abctl airbyte-db-0 -- /bin/bash # inside the pod, run something like: psql -U airbyte db-airbyte This psql pattern (psql -U airbyte db-airbyte) is what’s shown in the Helm/cluster docs and GitHub issue examples, but the knowledge sources do not explicitly confirm it for abctl, so treat it as a likely value, not guaranteed. [[Helm V2 upgrade](https://docs.airbyte.com/platform/deploying-airbyte/chart-v2-community#how-to-upgrade); [GitHub dataplane issue](https://github.com/airbytehq/airbyte/issues/58587)] 3. Once in psql, query the state table as in the incremental sync tutorial: sql SELECT * FROM state; This is the documented way to inspect stored state (including cursor info). [[Incremental sync tutorial](https://airbyte.com/tutorials/incremental-data-synchronization#step-2)] Because the exact DB name/user for abctl are not explicitly documented in the provided sources, if psql -U airbyte db-airbyte fails, you’ll need to inspect the pod’s environment or Postgres config to find the correct credentials.