I am creating an airbyte connection, with source as snowflake and destination as postgresql, I am working with 36 lakhs records but in destination I am able to see 34 lakhs records. I am unable to understand why the data loss is happening. Can anyone suggest me a solution?

It sounds like you are experiencing data loss during the sync process from Snowflake to PostgreSQL. Based on the knowledge sources provided, here are a few potential reasons and solutions for this issue: 1. Resource Constraints: - Ensure that the instance running Airbyte has sufficient resources. For example, in one case, the issue was due to the Airbyte instance running out of space because the

WORKSPACE_ROOT

was set to a partition with limited storage. Make sure your

WORKSPACE_ROOT

is set to a partition with ample space ([source](https://discuss.airbyte.io/t/2188)). 2. Logging Issues: - There might be issues related to logging that can cause loss of records. For instance, large log messages in Java connectors can lead to loss of records due to message interleaving ([source](https://github.com/airbytehq/airbyte/issues/30781)). Ensure that your logs are not excessively large and are properly managed. 3. Sync Configuration: - Check your sync configuration. If you are using a mode like Full Overwrite, ensure that the sync process is not being interrupted. In some cases, sync processes abort with errors but still claim success ([source](https://discuss.airbyte.io/t/2188)). 4. Connector Versions: - Make sure you are using the latest versions of both the Snowflake and PostgreSQL connectors. Upgrading to the latest versions can resolve many issues related to data sync ([source](https://discuss.airbyte.io/t/4373)). 5. Buffer and Checkpointing: - Adjust the buffer parameters and ensure frequent checkpointing. For example, increasing the buffer parameter in the Snowflake destination and limiting the number of tables per connection can help improve performance and reduce data loss ([source](https://discuss.airbyte.io/t/4373)). 6. Data Type Handling: - Ensure that the data types are being correctly handled and replicated. Sometimes, issues with data types can cause discrepancies in the number of records synced ([source](https://discuss.airbyte.io/t/3266)). If none of these solutions resolve your issue, you may want to provide more details or logs to the Airbyte community or support team for further assistance. For more detailed troubleshooting, you can refer to the [Airbyte documentation](https://docs.airbyte.com) or the [Airbyte community forum](https://discuss.airbyte.io). If you have any specific logs or error messages, sharing those can also help in diagnosing the issue more accurately.