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[enhancement](compaction) adjust compaction concurrency based on compaction score and workload #36672
[enhancement](compaction) adjust compaction concurrency based on compaction score and workload #36672
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…action score and workload
Thank you for your contribution to Apache Doris. Since 2024-03-18, the Document has been moved to doris-website. |
clang-tidy review says "All clean, LGTM! 👍" |
run buildall |
TPC-H: Total hot run time: 39990 ms
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TPC-DS: Total hot run time: 172246 ms
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TeamCity be ut coverage result: |
ClickBench: Total hot run time: 31.29 s
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clang-tidy review says "All clean, LGTM! 👍" |
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clang-tidy review says "All clean, LGTM! 👍" |
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LGTM
PR approved by at least one committer and no changes requested. |
PR approved by anyone and no changes requested. |
…action score and workload (#36672) 1 Resolved the issue where the priority queue did not reserve slots for cumulative compaction. 2 When considering compaction task priorities, introduced metrics for CPU and memory usage rates. When the compaction score is low, and CPU or memory usage is high, reduce the number of compaction tasks generated and allocate CPU and memory resources to queries or load. 3 Integrated the logic of the priority queue and concurrency control together, removing the previous priority code.
…action score and workload (apache#36672) 1 Resolved the issue where the priority queue did not reserve slots for cumulative compaction. 2 When considering compaction task priorities, introduced metrics for CPU and memory usage rates. When the compaction score is low, and CPU or memory usage is high, reduce the number of compaction tasks generated and allocate CPU and memory resources to queries or load. 3 Integrated the logic of the priority queue and concurrency control together, removing the previous priority code.
1 Resolved the issue where the priority queue did not reserve slots for cumulative compaction.
2 When considering compaction task priorities, introduced metrics for CPU and memory usage rates. When the compaction score is low, and CPU or memory usage is high, reduce the number of compaction tasks generated and allocate CPU and memory resources to queries or load.
3 Integrated the logic of the priority queue and concurrency control together, removing the previous priority code.