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Description
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- I searched in the issues and found nothing similar.
Motivation
In many scenarios, such as UV computing and user profile analysis, traditional approaches typically rely on count-distinct operations, which are resource-intensive. A more efficient alternative is to use RoaringBitmap, which can significantly reduce computing resource consumption. The application of RoaringBitmap depends on the storage engine's support for auto-increment columns, which can map any user-defined UID into an INT32/INT64 space.
Solution
This is a sub-task of Umbrella issue #1886, aimed at adding auto-increment column configuration options at the Fluss Schema level.
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Willingness to contribute
- I'm willing to submit a PR!
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