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I’m experiencing an issue after adding a second compute node in RisingWave.
Initially, I was running RisingWave with one compute node, and everything worked smoothly. However, after adding a second compute node, I started seeing inconsistencies and performance degradation.
Issues observed:
Streaming performance becomes noticeably slower, especially when frequent data updates are occurring.
Creating a materialized view with large datasets becomes extremely slow and often ends up timing out.
Overall query performance feels worse compared to when I only had a single compute node.
It seems like the compute nodes sometimes fall out of sync or take longer to align state during processing.
My setup:
Using docker-compose-distributed.yml
Two compute nodes (compute-node-1 and compute-node-2)
Each compute node has sufficient resources (32 GB RAM per node)
Memory parameters were configured according to the documentation
With only one compute node, all streaming and MV operations run without issues
Questions:
Is there any special configuration required when running more than one compute node?
Do I need to adjust anything related to state store, barrier alignment, or shuffle configurations for multi-compute setups?
Has anyone experienced slow MV creation or timeouts after scaling out compute nodes?
Any help, insights, or recommendations would be greatly appreciated. 🙏
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Hi everyone,
I’m experiencing an issue after adding a second compute node in RisingWave.
Initially, I was running RisingWave with one compute node, and everything worked smoothly. However, after adding a second compute node, I started seeing inconsistencies and performance degradation.
Issues observed:
My setup:
Questions:
Any help, insights, or recommendations would be greatly appreciated. 🙏
Thanks!
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