XiaoHongbo-Hope opened a new pull request, #9760: URL: https://github.com/apache/paimon/pull/9760
### Purpose Aggregate higher-frequency numeric samples, such as IMU, at temporal anchor timestamps. ### Changes - add top-level and chainable `aggregate_window` - support group-local `preceding` / `following` ranges with configurable endpoint closure - support `mean`, `min`, `max`, `first`, `last`, and `count` - reuse snapshot pinning, authorization masking, batched row-ID fetches, and the bounded row-group cache ### API choice `aggregate_window` performs the operation immediately; it does not add an empty builder. `preceding` / `following` follow SQL range terminology, while the aggregation mapping follows rolling aggregation APIs. ### Tests 140 temporal and multimodal table tests passed. Python 3.6 syntax and PyArrow 6 aggregation kernels were also checked. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
