Commit dbc4805
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[fix](cloud) Fix cloud warm up balance slow scheduling (#58962)
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.1 parent ae2ba6f commit dbc4805
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lines changed- be/src/cloud
- fe
- fe-common/src/main/java/org/apache/doris/common
- fe-core/src/main/java/org/apache/doris/cloud/catalog
- regression-test/suites/cloud_p0/balance
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