[improve](routine load) delay schedule EOF tasks to avoid too many small transactions#39975
Merged
liaoxin01 merged 1 commit intoapache:masterfrom Aug 28, 2024
sollhui:opt_small_txn
Merged
[improve](routine load) delay schedule EOF tasks to avoid too many small transactions#39975liaoxin01 merged 1 commit intoapache:masterfrom sollhui:opt_small_txn
liaoxin01 merged 1 commit intoapache:masterfrom
sollhui:opt_small_txn
Conversation
|
Thank you for your contribution to Apache Doris. Since 2024-03-18, the Document has been moved to doris-website. |
Contributor
Author
|
run buildall |
sollhui
changed the title
Contributor
Author
|
run buildall |
TPC-H: Total hot run time: 38466 ms |
TPC-DS: Total hot run time: 187608 ms |
ClickBench: Total hot run time: 30.56 s |
Contributor
|
PR approved by at least one committer and no changes requested. |
github-actions
Bot
added
approved
Contributor
|
PR approved by anyone and no changes requested. |
dataroaring
pushed a commit
that referenced
this pull request
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
that referenced
this pull request
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
that referenced
this pull request
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.
Closed
Closed
16 tasks
liaoxin01
pushed a commit
that referenced
this pull request
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-actions Bot
pushed a commit
that referenced
this pull request
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-actions Bot
pushed a commit
that referenced
this pull request
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
to HappenLee/incubator-doris
that referenced
this pull request
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
to HappenLee/incubator-doris
that referenced
this pull request
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.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
5 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
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.