<@U04S8PLJWMT> - what does mean this log message i...
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o
@kapa.ai - what does mean this log message in a import from a custom source ? What is the threshold ? 2025-02-07 103411 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: 0 bytes, penalty b: 0 bytes, after penalty b: 0 bytes 280
k
This log message is related to Airbyte's data flushing mechanism during an import from a custom source. Let me break down the meaning of this log message for you: 1. The log indicates that a flush operation is being triggered for the stream named "contact" from the source "source_ohme". 2. The flush is triggered by a time-based condition (time trigger: true) rather than a size-based condition (size trigger: false). 3. The threshold mentioned in the log refers to the maximum size of data that can be accumulated before a size-based flush is triggered. In this case, the threshold is set to 200 MB. 4. The current queue size is 0 bytes, which means there's no data currently in the queue waiting to be flushed. 5. The penalty and after penalty values are both 0 bytes, indicating that no additional data size penalties are being applied. The threshold of 200 MB is significant because it represents the maximum amount of data that would normally trigger a size-based flush. However, in this case, the flush is happening due to a time trigger, even though the queue is empty. This behavior is part of Airbyte's buffering and flushing strategy, which aims to optimize data transfer and processing. Time-based triggers ensure that data is flushed periodically, even if the size threshold hasn't been reached, to maintain data freshness and prevent excessive delays in data availability. For more detailed information about Airbyte's flushing mechanisms and configurations, you can refer to the [Airbyte GitHub repository](https://github.com/airbytehq/airbyte) where similar log messages and their contexts are discussed in various issues.
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@kapa.ai - the first 11996 rows are loaded correctly. But then the synchro is looping with zero additional rows loaded. And the synchro does not go further and loop indefenetly : what could explain that no additional rows is loaded ? How to correct it ? Below are some logs
k
A message from kapa.ai
A message from kapa.ai
Based on the information provided in your question and the knowledge sources available, it appears you're experiencing an issue with an Airbyte sync where it's getting stuck after loading a certain number of rows. This is a known issue that has been reported by other users. Let me explain what could be causing this and suggest some potential solutions. The problem you're describing is similar to issues reported in the following sources: 1. [Forum Post: Stack Syncs and Automated Full Resyncs on CDC](https://discuss.airbyte.io/t/2675) 2. [Github Issue: [source-postgres] Slow sync from Postrges to Snowflake](https://github.com/airbytehq/airbyte/issues/36967) These sources indicate that the sync process can sometimes get stuck or appear to be looping without progress. This could be due to several reasons: 1. Connection timeout: The source database connection might be timing out during long-running queries. 2. Data inconsistencies: There might be issues with the data itself, such as unexpected null values or data types. 3. Cursor field issues: If you're using incremental sync, there might be problems with the cursor field not updating correctly. To address this issue, here are some steps you can try: 1. Check your source database connection settings: - Increase the
wait_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.
Based on the logs you've provided and the context from our previous conversation, I can offer some insights into why your synchronization is looping with zero additional rows loaded after the first 11,996 rows. Let's analyze the situation and suggest some potential solutions. 1. Stalled Incremental Sync: The issue you're experiencing is likely related to an incremental sync that has stalled. This can happen when the cursor field is not updating correctly or when there's an issue with the data being read from the source. 2. Buffer Saturation: From the logs, we can see that the buffer for the 'contact' stream has reached 11,996 records (22.18 MB), which matches the number of rows you mentioned were loaded correctly. The buffer isn't growing beyond this point, suggesting that no new data is being read from the source. 3. Time-based Flush Trigger: The logs show that a flush operation is being triggered based on time rather than size:
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2025-02-07 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.
Based on the logs you've provided and the context from our previous conversation, I can offer some insights into why your synchronization is looping with zero additional rows loaded after the first 11,996 rows. Let's analyze the situation and suggest some potential solutions. 1. Stalled Incremental Sync: The issue you're experiencing is likely related to an incremental sync that has stalled. This can happen when the cursor field is not updating correctly or when there's an issue with the data being read from the source. 2. Buffer Saturation: From the logs, we can see that the buffer for the 'contact' stream has reached 11,996 records (22.18 MB), which matches the number of rows you mentioned were loaded correctly. The buffer isn't growing beyond this point, suggesting that no new data is being read from the source. 3. Time-based Flush Trigger: The logs show that a flush operation is being triggered based on time rather than size:
Copy code
2025-02-07 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.
A message from kapa.ai
Based on the information provided in your question and the logs you've shared previously, it appears you're experiencing a common issue with Airbyte synchronizations where the process gets stuck after loading a specific number of rows. This problem is similar to issues reported in other Airbyte implementations. Let's analyze the possible causes and suggest some solutions. Possible explanations for why no additional rows are being loaded: 1. Cursor field issue: If you're using incremental sync, the cursor field might not be updating correctly after the 11,996th row. 2. Data inconsistency: There could be an issue with the data in or after the 11,997th row, such as unexpected null values or data type mismatches. 3. Connection timeout: The source database connection might be timing out during long-running queries. 4. Buffer saturation: The buffer for the 'contact' stream has reached its limit and isn't being cleared properly. 5. Source API limitations: If you're syncing from an API, you might be hitting rate limits or pagination issues. To correct this issue, you can try the following steps: 1. Check the cursor field: Verify that the cursor field for incremental sync is being updated correctly for all records, especially around the 11,996th row. 2. Inspect the source data: Examine the data in your source, particularly the rows immediately following the 11,996th row, for any anomalies or inconsistencies. 3. Adjust connection settings: If applicable, try increasing the
wait_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.