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[improve](routine load) delay schedule EOF tasks to avoid too many small transactions - #39975
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doris-robot
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Aug 27, 2024
Thank you for your contribution to Apache Doris. Since 2024-03-18, the Document has been moved to doris-website. |
sollhui
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run buildall |
sollhui
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Aug 27, 2024
TPC-H: Total hot run time: 38466 ms |
doris-robot
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TPC-DS: Total hot run time: 187608 ms |
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Aug 27, 2024
ClickBench: Total hot run time: 30.56 s |
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PR approved by at least one committer and no changes requested. |
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PR approved by anyone and no changes requested. |
dataroaring pushed a commit
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Sep 3, 2024
…all transactions (#39975) We encountered a scenario where a large number of small transactions were generated, resulting in an impact on query performance: Kafka's data comes in batches of very small data every very short time, which leads to tasks being frequently scheduled and ending very quickly, resulting in a large number of small transactions. To solve this problem, we delay the scheduling of tasks that perceive EOF, which would not delay data consumption, for perceiving EOF indicates that the consumption speed is greater than the production speed.
dataroaring pushed a commit
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Sep 8, 2024
…all transactions (#39975) (#40498) pick (#39975) We encountered a scenario where a large number of small transactions were generated, resulting in an impact on query performance: Kafka's data comes in batches of very small data every very short time, which leads to tasks being frequently scheduled and ending very quickly, resulting in a large number of small transactions. To solve this problem, we delay the scheduling of tasks that perceive EOF, which would not delay data consumption, for perceiving EOF indicates that the consumption speed is greater than the production speed.
yiguolei pushed a commit
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Sep 9, 2024
…all transactions (#39975) (#40509) pick (#39975) We encountered a scenario where a large number of small transactions were generated, resulting in an impact on query performance: Kafka's data comes in batches of very small data every very short time, which leads to tasks being frequently scheduled and ending very quickly, resulting in a large number of small transactions. To solve this problem, we delay the scheduling of tasks that perceive EOF, which would not delay data consumption, for perceiving EOF indicates that the consumption speed is greater than the production speed.
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liaoxin01 pushed a commit
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Dec 6, 2024
Related PR: #39975 In the above PR, we introduce delay schedule EOF tasks to avoid too many small transactions, but it is invalid, the pr fix the issue.
github-actionsBot
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Dec 6, 2024
Related PR: #39975 In the above PR, we introduce delay schedule EOF tasks to avoid too many small transactions, but it is invalid, the pr fix the issue.
github-actionsBot
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Dec 6, 2024
Related PR: #39975 In the above PR, we introduce delay schedule EOF tasks to avoid too many small transactions, but it is invalid, the pr fix the issue.
HappenLee pushed a commit
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Apr 24, 2026
…all transactions (apache#39975) We encountered a scenario where a large number of small transactions were generated, resulting in an impact on query performance: Kafka's data comes in batches of very small data every very short time, which leads to tasks being frequently scheduled and ending very quickly, resulting in a large number of small transactions. To solve this problem, we delay the scheduling of tasks that perceive EOF, which would not delay data consumption, for perceiving EOF indicates that the consumption speed is greater than the production speed.
HappenLee pushed a commit
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Apr 24, 2026
) Related PR: apache#39975 In the above PR, we introduce delay schedule EOF tasks to avoid too many small transactions, but it is invalid, the pr fix the issue.
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We encountered a scenario where a large number of small transactions were generated, resulting in an impact on query performance:
Kafka's data comes in batches of very small data every very short time, which leads to tasks being frequently scheduled and ending very quickly, resulting in a large number of small transactions.
To solve this problem, we delay the scheduling of tasks that perceive EOF, which would not delay data consumption, for perceiving EOF indicates that the consumption speed is greater than the production speed.