how to configure airbyte to make syncs of small ta...
# ask-ai
a
how to configure airbyte to make syncs of small tables faster
k
To configure Airbyte for faster syncs of small tables, there are a few approaches you can consider: 1. Increase worker resources: You can allocate more CPU and memory to the worker pods by modifying the
values.yml
file. This can help improve sync speed, especially for small tables. For example:
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yaml global:     edition: "enterprise"     jobs:       resources:         limits:           cpu: 250m           memory: 500m         requests:           cpu: 75m           memory: 150m
[Scaling Airbyte After Installation](https://docs.airbyte.com/enterprise-setup/scaling-airbyte) provides more details on this approach. 2. Adjust concurrent sync limits: You can increase the number of syncs that can run simultaneously by modifying the
MAX_SYNC_WORKERS
and
MAX_CHECK_WORKERS
environment variables:
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yaml worker:     extraEnvs:     - name: MAX_SYNC_WORKERS         value: 5       - name: MAX_CHECK_WORKERS         value: 5
3. Increase worker replicas: If you're running multiple syncs, increasing the number of worker replicas can help:
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yaml worker:     replicaCount: 2
4. Use separate connections for small tables: As suggested in [this forum post](https://discuss.airbyte.io/t/1863), you can create separate connections for small tables. This can help with parallelization and performance, especially if you have a mix of large and small tables. 5. Consider using incremental sync modes: For tables that change frequently, using incremental sync modes like CDC (Change Data Capture) or xmin can significantly reduce sync times for subsequent syncs after the initial full sync. Remember that these configurations may need to be adjusted based on your specific setup and requirements. It's also important to monitor your system's performance and adjust accordingly.
a
@kapa.ai i have many tables syncing in streams, how do i add these parameters also
k
A message from kapa.ai
To add parameters for multiple tables syncing in streams, you'll need to configure them at the connection level in Airbyte. Here's how you can approach this: 1. For each connection, you can configure stream-specific parameters. This allows you to set different sync modes, cursor fields, and other parameters for each table (stream) within a single connection. 2. In the Airbyte UI, when setting up or editing a connection, you'll see a section called "Stream configuration" or "Sync mode configuration" (depending on the Airbyte version). Here, you can configure parameters for each stream individually. 3. For each stream (table), you can set: - Sync mode (e.g., Full Refresh, Incremental) - Cursor field (for incremental syncs) - Primary key (if applicable) - Destination Sync Mode (e.g., Append, Overwrite, Append+Deduped) 4. If you have a large number of streams, you might want to use the Airbyte API to configure these parameters programmatically. This would allow you to set parameters for multiple streams more efficiently. Unfortunately, the provided knowledge sources don't contain specific information about configuring multiple streams within a single connection. For the most up-to-date and detailed instructions, I recommend checking the latest Airbyte documentation or reaching out to Airbyte support for guidance on bulk stream configuration. Remember that the exact steps and options might vary depending on your Airbyte version and deployment type. Always refer to the documentation specific to your Airbyte setup for the most accurate information.