Olivier Rousseau
02/07/2025, 10:04 AMkapa.ai
02/07/2025, 10:04 AMOlivier Rousseau
02/07/2025, 10:10 AMkapa.ai
02/07/2025, 10:10 AMkapa.ai
02/07/2025, 10:10 AMkapa.ai
02/07/2025, 10:10 AMwait_timeout
value in your database configuration if possible. - Consider using the connection property 'autoReconnect=true' if applicable to your source. 2. Review your sync mode and cursor field: - If you're using incremental sync, make sure the cursor field is being updated correctly for all records. - Consider switching to a full refresh sync temporarily to see if the issue persists. 3. Check for data inconsistencies: - Look for any null values or unexpected data types in the rows after the last successfully synced record. 4. Update your Airbyte version: - Ensure you're using the latest version of Airbyte and the specific source connector you're using. 5. Reset the connection: - As a temporary workaround, you might need to reset the connection and start a fresh sync. 6. Increase logging verbosity: - Enable more detailed logging to get more information about what's happening during the sync process. If none of these steps resolve the issue, you may need to open an issue on the [Airbyte GitHub repository](https://github.com/airbytehq/airbyte) with detailed logs and information about your setup. Remember, without more specific information about your setup (such as the source and destination types, sync modes, and complete logs), it's challenging to provide a definitive solution. If you can provide more details, especially the complete logs of the sync process, it would be easier to diagnose the exact cause of the problem.kapa.ai
02/07/2025, 10:11 AM2025-02-07 10:29:10 destination INFO pool-5-thread-1 i.a.c.i.d.a.DetectStreamToFlush(getNextStreamToFlush):109 flushing: trigger info: source_ohme - contact, time trigger: true , size trigger: false current threshold b: 200 MB, queue size b: 22.18 MB, penalty b: 0 bytes, after penalty b: 22.18 MB
This indicates that the system is attempting to flush data periodically, even though no new data is being added to the queue.
To address this issue and potentially correct it, you can try the following steps:
1. Check the Cursor Field:
If you're using incremental sync, verify that the cursor field is being updated correctly for all records. Ensure there are no records with null or invalid values in the cursor field.
2. Verify Source Data:
Check if there are any changes or issues with the source data beyond the 11,996th row. Look for any data inconsistencies, schema changes, or unexpected null values that might be causing the sync to stall.
3. Review Sync Mode:
Consider temporarily switching to a full refresh sync to see if you can retrieve all the data. This can help identify if the issue is specific to the incremental sync configuration.
4. Increase Log Verbosity:
Enable more detailed logging for both the source and destination to get more information about what's happening during the sync process. This can help identify any errors or warnings that might not be visible in the current log level.
5. Check for Rate Limiting:
Ensure that you're not hitting any API rate limits if you're syncing from an API source. The logs don't indicate this directly, but it's worth considering if applicable to your source.
6. Update Connector Version:
Make sure you're using the latest version of the source connector for your specific data source (source_ohme in this case). There might be bug fixes or improvements in newer versions that address this issue.kapa.ai
02/07/2025, 10:11 AM2025-02-07 10:29:10 destination INFO pool-5-thread-1 i.a.c.i.d.a.DetectStreamToFlush(getNextStreamToFlush):109 flushing: trigger info: source_ohme - contact, time trigger: true , size trigger: false current threshold b: 200 MB, queue size b: 22.18 MB, penalty b: 0 bytes, after penalty b: 22.18 MB
This indicates that the system is attempting to flush data periodically, even though no new data is being added to the queue. To address this issue and potentially correct it, you can try the following steps: 1. Check the Cursor Field: If you're using incremental sync, verify that the cursor field is being updated correctly for all records. Ensure there are no records with null or invalid values in the cursor field. 2. Verify Source Data: Check if there are any changes or issues with the source data beyond the 11,996th row. Look for any data inconsistencies, schema changes, or unexpected null values that might be causing the sync to stall. 3. Review Sync Mode: Consider temporarily switching to a full refresh sync to see if you can retrieve all the data. This can help identify if the issue is specific to the incremental sync configuration. 4. Increase Log Verbosity: Enable more detailed logging for both the source and destination to get more information about what's happening during the sync process. This can help identify any errors or warnings that might not be visible in the current log level. 5. Check for Rate Limiting: Ensure that you're not hitting any API rate limits if you're syncing from an API source. The logs don't indicate this directly, but it's worth considering if applicable to your source. 6. Update Connector Version: Make sure you're using the latest version of the source connector for your specific data source (source_ohme in this case). There might be bug fixes or improvements in newer versions that address this issue. 7. Reset Stream State: As a last resort, you might need to reset the stream state for the 'contact' stream. This will force a fresh sync from the beginning but might help overcome the current stall. If these steps don't resolve the issue, you should consider opening an issue on the [Airbyte GitHub repository](https://github.com/airbytehq/airbyte) with detailed information about your setup, including the source type, destination type, sync configurations, and more comprehensive logs. This will allow the Airbyte team to provide more specific assistance for your use case. Remember, without more details about your specific source (source_ohme) and destination, it's challenging to provide a definitive solution. The steps above are general troubleshooting guidelines based on common issues seen with Airbyte syncs.kapa.ai
02/07/2025, 10:11 AMkapa.ai
02/07/2025, 10:11 AMwait_timeout
value in your database configuration or use the 'autoReconnect=true' connection property. 4. Update the connector: Ensure you're using the latest version of the source connector for your specific data source (source_ohme in your case). 5. Modify sync settings: Temporarily switch to a full refresh sync to see if you can retrieve all the data. This can help identify if the issue is specific to the incremental sync configuration. 6. Increase logging verbosity: Enable more detailed logging for both the source and destination to get more information about what's happening during the sync process. 7. Reset the stream state: As a last resort, you might need to reset the stream state for the 'contact' stream to force a fresh sync from the beginning. If these steps don't resolve the issue, you should consider opening an issue on the [Airbyte GitHub repository](https://github.com/airbytehq/airbyte) with detailed information about your setup, including the source type, destination type, sync configurations, and more comprehensive logs. This will allow the Airbyte team to provide more specific assistance for your use case. Remember, the exact solution may depend on the specific details of your source and destination, which aren't fully provided in the question. These suggestions are based on common issues seen with Airbyte syncs and the limited information available.