Hi <@U04S8PLJWMT> what does this mean: Flushed che...
# ask-ai
s
Hi @kapa.ai what does this mean: Flushed checkpoint for stream: Descriptor(namespace=null, name=GA_TOTAL_EVENT_INSIGHT This is for a custom GA4 report.
k
The message "Flushed checkpoint for stream: Descriptor(namespace=null, name=GA_TOTAL_EVENT_INSIGHT" indicates that Airbyte has saved (or "flushed") the current state for the stream named GA_TOTAL_EVENT_INSIGHT. In the context of Airbyte, a "checkpoint" is a saved state that allows incremental syncs to resume from the last successfully processed record, rather than starting from scratch if the sync is interrupted. This is a normal part of how Airbyte manages incremental data syncs. The checkpointing mechanism helps ensure data consistency and efficient resumption of syncs. The message is informational and typically appears in logs to indicate that Airbyte has successfully saved the progress for that particular stream. If you are running a custom GA4 (Google Analytics 4) report, this means Airbyte is tracking the sync progress for your custom report stream named GA_TOTAL_EVENT_INSIGHT, so it can continue from the correct point in future syncs or after a failure. This behavior is part of Airbyte's incremental sync and state management system, as described in the documentation and community discussions about state checkpointing and incremental streams[Forum: Troubleshooting state_checkpoint_interval](https://discuss.airbyte.io/t/3935).
s
@kapa.ai so this does not mean the stream will start over completely?
k
A message from kapa.ai
No, the message "Flushed checkpoint for stream: Descriptor(namespace=null, name=GA_TOTAL_EVENT_INSIGHT" does not mean the stream will start over completely. Instead, it means that Airbyte has saved the current state (checkpoint) for that stream. This checkpoint allows Airbyte to resume syncing from this point in future runs, rather than starting from the beginning. This is a core part of Airbyte's incremental sync and resumability features, which are designed to avoid re-reading already synced data and to ensure efficient and reliable data replication if a sync is interrupted or fails [Resumability](https://docs.airbyte.com/platform/using-airbyte/core-concepts#resumability) [Checkpointing state](https://docs.airbyte.com/platform/connector-development/cdk-python/incremental-stream#checkpointing-state). So, unless there is an error or a configuration that forces a full re-sync, the stream will continue from the last checkpoint, not start over.