[
https://issues.apache.org/jira/browse/HADOOP-18106?focusedWorklogId=780437&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-780437
]
ASF GitHub Bot logged work on HADOOP-18106:
-------------------------------------------
Author: ASF GitHub Bot
Created on: 10/Jun/22 21:04
Start Date: 10/Jun/22 21:04
Worklog Time Spent: 10m
Work Description: mukund-thakur opened a new pull request, #4427:
URL: https://github.com/apache/hadoop/pull/4427
…tation.
part of HADOOP-18103.
Handling memoroy fragmentation in S3A vectored IO implementation by
allocating smaller user range requested size buffers and directly
filling them from the remote S3 stream and skipping undesired
data in between ranges.
This patch also adds aborting active vectored reads when stream is
closed or unbuffer is called.
<!--
Thanks for sending a pull request!
1. If this is your first time, please read our contributor guidelines:
https://cwiki.apache.org/confluence/display/HADOOP/How+To+Contribute
2. Make sure your PR title starts with JIRA issue id, e.g.,
'HADOOP-17799. Your PR title ...'.
-->
### Description of PR
### How was this patch tested?
Added new tests, ran all existing tests.
### For code changes:
- [ ] Does the title or this PR starts with the corresponding JIRA issue id
(e.g. 'HADOOP-17799. Your PR title ...')?
- [ ] Object storage: have the integration tests been executed and the
endpoint declared according to the connector-specific documentation?
- [ ] If adding new dependencies to the code, are these dependencies
licensed in a way that is compatible for inclusion under [ASF
2.0](http://www.apache.org/legal/resolved.html#category-a)?
- [ ] If applicable, have you updated the `LICENSE`, `LICENSE-binary`,
`NOTICE-binary` files?
Issue Time Tracking
-------------------
Worklog Id: (was: 780437)
Remaining Estimate: 0h
Time Spent: 10m
> Handle memory fragmentation in S3 Vectored IO implementation.
> -------------------------------------------------------------
>
> Key: HADOOP-18106
> URL: https://issues.apache.org/jira/browse/HADOOP-18106
> Project: Hadoop Common
> Issue Type: Sub-task
> Components: fs/s3
> Reporter: Mukund Thakur
> Assignee: Mukund Thakur
> Priority: Major
> Time Spent: 10m
> Remaining Estimate: 0h
>
> As we have implemented merging of ranges in the S3AInputStream implementation
> of vectored IO api, it can lead to memory fragmentation. Let me explain by
> example.
>
> Suppose client requests for 3 ranges.
> 0-500, 700-1000 and 1200-1500.
> Now because of merging, all the above ranges will get merged into one and we
> will allocate a big byte buffer of 0-1500 size but return sliced byte buffers
> for the desired ranges.
> Now once the client is done reading all the ranges, it will only be able to
> free the memory for requested ranges and memory of the gaps will never be
> released for eg here (500-700 and 1000-1200).
>
--
This message was sent by Atlassian Jira
(v8.20.7#820007)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
