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[improve](routine load) delay schedule EOF tasks to avoid too many small transactions (#39975) #40498
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…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.
Thank you for your contribution to Apache Doris. Since 2024-03-18, the Document has been moved to doris-website. |
run buildall |
TPC-H: Total hot run time: 49085 ms
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TPC-DS: Total hot run time: 213186 ms
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ClickBench: Total hot run time: 31.03 s
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Load test result on machine: 'aliyun_ecs.c7a.8xlarge_32C64G'
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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.