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How to optimize aggregate query views with a large amount of data in RisingWave?

I created an aggregate query view in RisingWave that results in at least a million pieces of data, making it slow to retrieve results. Is there any advice or method to optimize the performance of aggregate query views with large data sets in RisingWave?

ji

jie

Asked on May 25, 2022

  1. Identify Bottlenecks: Analyze the query execution plan to identify any bottlenecks that may be causing the slow performance.

  2. Indexing: Ensure that the columns used in the GROUP BY and WHERE clauses are properly indexed to speed up data retrieval.

  3. Partitioning: Consider partitioning the underlying tables based on the grouping column (Device_id) to distribute the data and improve query performance.

  4. Materialized Views: Evaluate the use of materialized views to precompute and store the aggregated results, reducing the need for recalculating the aggregates on the fly.

  5. Optimization Updates: Keep an eye on the RisingWave project updates, as optimizations for handling large data sets may be included in future releases.

Jun 15, 2022Edited by