branch-4.0: [fix](cloud) Fix cloud warm up balance slow scheduling #58962#59337
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yiguolei merged 1 commit intoapache:branch-4.0from Dec 25, 2025
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Currently, when performing tablet warm-up balancing in the cloud, the sequential execution of a single warm-up task leads to a series of problems, such as: 1. When scaling up a computer group to include beta nodes, with a large number of tables (millions of tablets), actual tests showed that scaling from 1 beta node to 10 beta nodes took more than 6 hours to reach a balanced state. Each warm-up task RPC took about 30ms. This means that even if a new node can handle the load, scaling up a new node in the cloud can still take up to 6 hours in the worst case. 2. Due to the same logic, decomission be is also relatively slow. Fixes: 1. Batch and pipeline warm-up tasks. Each batch can contain multiple warm-up tasks with the same source and destination (each task represents migrating one tablet). 2. Separate the warm-up task finish thread to prevent scheduling logic from affecting the logic that modifies tablet-to-tablet mappings. 3. Asynchronously fetch file cache meta in the warm_up_cache_async logic and add some bvars. Post-fix testing showed that in a scenario with 10 databases, 10,000 tables, 100,000 partitions, and 1 million tablets, the number of be nodes increased from 3 to 10 within 10 minutes.
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yiguolei
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Dec 25, 2025
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cherry pick from #58962