kunwp1 opened a new pull request, #4205:
URL: https://github.com/apache/texera/pull/4205
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### What changes were proposed in this PR?
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This PR introduce a new configuration parameter
`runtime-statistics-interval` to independently control the frequency of runtime
statistics persistence, separate from the UI update frequency
(`status-update-interval`). Previously, both UI updates and runtime statistics
persistence were controlled by a single parameter `status-update-interval`.
This means
frequent UI updates (e.g., 500ms) caused excessive statistics writes to
storage. This change allows independent control:
- `status-update-interval`: Controls how often the frontend UI refreshes
(default: 500ms)
- `runtime-statistics-interval`: Controls how often statistics are persisted
to storage (default: 2000ms)
#### Changes
- Added `runtime-statistics-interval` parameter (default: 2000ms) in
`application.conf`
- Protobuf: Added `StatisticsUpdateTarget` enum (`UI_ONLY`,
`PERSISTENCE_ONLY`, `BOTH_UI_AND_PERSISTENCE`) to `QueryStatisticsRequest`
- Added `RuntimeStatisticsPersist` event for statistics-only updates;
`ExecutionStatsUpdate` now handles UI-only updates
- Added separate timer for runtime statistics collection that runs
independently from UI update timer
- Query Handling
- Timer-triggered queries specify target: UI-only or persistence-only
- Event-triggered queries (port/worker completion, pause, resume) send
both UI and persistence updates to preserve original behavior
- `QueryWorkerStatisticsHandler` routes to appropriate event based on
`StatisticsUpdateTarget`
### Any related issues, documentation, discussions?
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Closes #4204
### How was this PR tested?
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Tested with the following workflow and dataset, change the
`runtime-statistics-interval` parameter to see if the runtime stats size
reduces if we increase the parameter value.
[Iris Dataset
Analysis.json](https://github.com/user-attachments/files/25220000/Iris.Dataset.Analysis.json)
[Iris.csv](https://github.com/user-attachments/files/25220003/Iris.csv)
### Was this PR authored or co-authored using generative AI tooling?
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No.
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