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<@U04S8PLJWMT> iam using the mongodb change stream...
# ask-ai
l
@kapa.ai iam using the mongodb change streams feature, im doing my backfill with sucess but when i tryed to do the first incremental sync i got the error: 2025-02-06 084640 source WARN debezium-mongodbconnector-analysis-prod-replicator-fetcher-0 i.d.c.m.e.BufferingChangeStreamCursor$EventFetcher(enqueue):285 Unable to acquire buffer lock, buffer queue is likely full 454 2025-02-06 084642 source INFO main i.a.c.i.d.i.DebeziumRecordIterator(computeNext):87 CDC events queue poll(): blocked for PT0.00000811S after 4 previous call(s) which were not logged. 455 2025-02-06 084642 source INFO main i.a.c.i.d.i.DebeziumRecordIterator(computeNext):184 CDC events queue poll(): returned a change event with "source": {"version":"2.6.2.Final","connector":"mongodb","name":"analysis-prod","ts_ms":1738784133000,"snapshot":null,"db":"analysis_prod","sequence":null,"ts_us":1738784133000000,"ts_ns":1738784133000000000,"collection":"analysis","ord":38,"lsid":null,"txnNumber":null,"wallTime":1738784133980}. 456 2025-02-06 084648 source INFO pool-2-thread-1 i.a.c.i.d.AirbyteDebeziumHandler$CapacityReportingBlockingQueue(reportQueueUtilization):48 CDC events queue stats: size=5336, cap=4664, puts=14, polls=0 457 2025-02-06 084650 source INFO Malformed non-Airbyte record (connectionId = 2129f53d-5844-4963-b352-a1ba8bccaeb0): Terminating due to java.lang.OutOfMemoryError: Java heap space
k
Based on the error message you've provided, it appears you're encountering an Out of Memory error during the incremental sync process using MongoDB change streams. This issue is related to the MongoDB source connector in Airbyte. Let's break down the problem and provide some potential solutions. The error message indicates that the CDC (Change Data Capture) events queue is filling up faster than it can be processed, eventually leading to an Out of Memory error. This can happen when there's a high volume of changes in your MongoDB database that the connector is trying to capture. Here are some suggestions to address this issue: 1. Increase Java Heap Space: The immediate cause of the failure is running out of Java heap space. You can try increasing the heap space allocated to the MongoDB source connector. This can be done by modifying the JVM arguments for the connector. 2. Adjust Buffer Size: The warning message "Unable to acquire buffer lock, buffer queue is likely full" suggests that the internal buffer used by the connector is reaching its capacity. You might need to adjust the buffer size or the rate at which events are processed. 3. Optimize Sync Frequency: If possible, try to increase the frequency of your incremental syncs. This can help reduce the volume of changes that need to be processed in a single sync operation. 4. Check MongoDB Oplog Size: Ensure that your MongoDB oplog is large enough to retain changes between sync operations. If the oplog is too small, you might lose changes, leading to inconsistent data. 5. Review Indexed Fields: Make sure that the fields you're using for change tracking are properly indexed in your MongoDB collections. This can help improve the performance of change stream queries. 6. Monitor Resource Usage: Keep an eye on the resource usage of both your MongoDB instance and the Airbyte worker running the sync. You might need to allocate more resources to handle the volume of changes. 7. Consider Splitting Large Collections: If you have very large collections with frequent updates, consider splitting them into smaller, more manageable collections if possible. For more detailed information on configuring and troubleshooting the MongoDB source connector, you can refer to the following Airbyte documentation: [MongoDB V2 Source Connector](https://docs.airbyte.com/integrations/sources/mongodb-v2) If the problem persists after trying these solutions, you might want to consider opening an issue on the Airbyte GitHub repository, providing detailed information about your setup, sync configuration, and the full error logs. The Airbyte community or maintainers might be able to provide more specific guidance based on your use case.
l
how can i do the first sugestion?
@kapa.ai how can i do the first sugestion? 1. Increase Java Heap Space: The immediate cause of the failure is running out of Java heap space. You can try increasing the heap space allocated to the MongoDB source connector. This can be done by modifying the JVM arguments for the connector.
k
A message from kapa.ai
To increase the Java heap space for the MongoDB source connector in Airbyte, you can modify the environment variables for the connector. Here's how you can do it: 1. For Airbyte OSS (Open Source) deployments: You can set the 
JOB_MAIN_CONTAINER_MEMORY_LIMIT
and 
JOB_MAIN_CONTAINER_MEMORY_REQUEST
environment variables in your 
.env
file. These variables control the memory allocation for the connector containers. For example, you could add or modify these lines in your 
.env
file:
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JOB_MAIN_CONTAINER_MEMORY_LIMIT=4Gi    JOB_MAIN_CONTAINER_MEMORY_REQUEST=4Gi
This would allocate 4GB of memory to the connector. You can adjust this value based on your needs and available resources. 2. For Airbyte Cloud or if you're using Kubernetes: You can modify the resource requirements for the specific connection. This can typically be done through the Airbyte UI or by modifying the connection configuration. After making these changes, you'll need to restart your Airbyte instance for the changes to take effect. It's important to note that the exact steps and available options might vary depending on your specific Airbyte setup and version. Always refer to the most up-to-date documentation for your Airbyte version. For more detailed information on configuring connector resources, you can refer to the Airbyte documentation on [Configuring Connector Resources](https://docs.airbyte.com/operator-guides/configuring-connector-resources). Remember to monitor your system's performance after making these changes to ensure that increasing the heap space resolves the issue without causing other resource constraints.
l
@kapa.ai can you do the complete yaml example with these configs please?
k
A message from kapa.ai
I apologize, but I cannot provide a complete YAML example with these configurations based solely on the information in the knowledge sources provided. The knowledge sources do not contain a full YAML template or example that includes the specific memory configuration settings we discussed. However, I can provide you with the relevant environment variable settings that you would typically include in your configuration file:
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yaml env:   JOB_MAIN_CONTAINER_MEMORY_LIMIT: 4Gi   JOB_MAIN_CONTAINER_MEMORY_REQUEST: 4Gi
These settings would typically be part of a larger YAML configuration file for your Airbyte deployment. The exact structure and additional settings would depend on your specific Airbyte setup and version. For the most accurate and up-to-date information on configuring your Airbyte instance, including full YAML examples, I recommend referring to the official Airbyte documentation: [Configuring Connector Resources](https://docs.airbyte.com/operator-guides/configuring-connector-resources) This documentation should provide more comprehensive guidance on how to structure your configuration file and where to place these memory settings within your overall Airbyte configuration.
m
@kapa.ai How to adjust Buffer Size?
k
A message from kapa.ai
To adjust the buffer size for the MongoDB source connector in Airbyte, you need to modify the "Size of the queue (Advanced)" parameter in the connector configuration. This parameter controls the size of the internal queue used during Change Data Capture (CDC) operations. Increasing this value can help if you are experiencing buffer overflows or "buffer queue is likely full" errors, but be cautious as it may also increase memory consumption. You can find this setting in the connector configuration UI or YAML under the field:
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queue_size
Documentation reference: > Size of the queue (Advanced): The size of the internal queue. This may interfere with memory consumption and efficiency of the connector, please be careful. [Source: MongoDB V2 Configuration Parameters](https://docs.airbyte.com/integrations/sources/mongodb-v2#configuration-parameters) Adjust this value according to your workload and available resources. If you increase the queue size, make sure to also monitor and, if necessary, increase the memory allocated to the connector to avoid out-of-memory errors. Note: The knowledge sources do not specify default or recommended values, so you may need to experiment to find the optimal setting for your use case.
m
@kapa.ai I don't think this changes are reflected in existing connections
k
A message from kapa.ai
You are correct—changes to connector configuration parameters (such as buffer size or resource allocations) made at the connector definition level do not automatically update existing connections. According to Airbyte's documentation, when you update connector definitions or resource requirements, these changes only apply to new connections or when you explicitly update the configuration for an existing connection. Existing connections retain their previous settings unless you manually update them. If you want changes (like buffer size or memory allocation) to take effect for an existing connection, you need to edit and save the configuration for that specific connection in the Airbyte UI or via the API. This ensures the new settings are applied to your running syncs and jobs [Configuring Connector Resources](https://docs.airbyte.com/platform/operator-guides/configuring-connector-resources). The knowledge sources do not provide a way to force-update all existing connections automatically with new connector-level settings. Manual intervention per connection is required.
m
@kapa.ai How to manually update this setting?
k
A message from kapa.ai
To manually update the buffer size (or any advanced parameter like 
queue_size
) for an existing MongoDB source connection in Airbyte, you need to edit the connection’s configuration directly. Here’s how you can do it: 1. In the Airbyte UI: - Go to Connections in the sidebar. - Click on the connection you want to update. - Click the Settings or Edit button for the source configuration. - Locate the Size of the queue (Advanced) or 
queue_size
parameter. - Update the value as needed. - Save or submit your changes. 2. Via the API: - You can also update the connection configuration using the Airbyte API by sending a PATCH or PUT request with the new configuration, including the updated 
queue_size
value. Note: The knowledge sources confirm that you can modify configuration settings for an existing connection through the UI or API, but do not provide a step-by-step API example or specify the exact UI field names for every parameter. If you do not see the advanced parameter in the UI, you may need to use the API to update it directly [MongoDB V2 Configuration Parameters](https://docs.airbyte.com/integrations/sources/mongodb-v2#configuration-parameters) [Configuring Connections](https://docs.airbyte.com/platform/cloud/managing-airbyte-cloud/configuring-connections). If you need to update resource allocations (CPU/memory) for a specific connection, you can do so by running a SQL command directly on the Airbyte database, as shown below:
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sql update connection set resource_requirements = '{"cpu_limit": "2", "cpu_request": "2", "memory_limit": "2048Mi", "memory_request": "2048Mi"}' where id = '<connection-id>';
[Configuring Connection-Specific Requirements](https://docs.airbyte.com/platform/operator-guides/configuring-connector-resources#configuring-connection-specific-requirements) If you need more detailed steps for your specific Airbyte version or deployment, please let me know!
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