Feature Req: Support for Materialized Views #22
Description
Overview of Problem
Currently within the application, users need to run queries on full data sets that are being generated by incoming stream data. When the data gets large enough or queries become more complicated, this slows query performance and diminishes the real-time nature of the platform.
Solution
Materialized views in ClickHouse shift computational burden from query time to insert time, significantly enhancing query performance. They operate by executing queries on small batches of incoming data rather than the entire dataset. As new data is being inserted into the source table, a trigger automatically fires the materialized view queries and then stores the results in a separate table. This real-time update mechanism ensures that the materialized view always reflects the current state of the data.
By pre-computing and storing query results, materialized views effectively create a smaller, optimized dataset. This approach eliminates resource-intensive queries on large datasets during query execution. Users can also perform further queries on this condensed, pre-processed data, resulting in faster and more efficient data retrieval.
Leveraging materialized views aligns well with ClickHouse's strengths in efficiency and real-time data processing.
