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https://issues.apache.org/jira/browse/HADOOP-18028?focusedWorklogId=797311&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-797311
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ASF GitHub Bot logged work on HADOOP-18028:
-------------------------------------------
Author: ASF GitHub Bot
Created on: 02/Aug/22 17:12
Start Date: 02/Aug/22 17:12
Worklog Time Spent: 10m
Work Description: steveloughran opened a new pull request, #4675:
URL: https://github.com/apache/hadoop/pull/4675
This is the commit chain of feature-HADOOP-18028-s3a-prefetch rebased to
trunk and with a fixup at the end.
I intend to apply this chain to the feature branch with a goal of a squash
and merge of the branch into trunk ASAP, with all final work done on trunk
### How was this patch tested?
s3 london, params `-Dparallel-tests -DtestsThreadCount=8 -Dscale`
all new failures reported
* [HADOOP-18386](https://issues.apache.org/jira/browse/HADOOP-18386)
ITestS3SelectLandsat timeout after 10 minutes. surfaces in trunk too.
* [HADOOP-18384](https://issues.apache.org/jira/browse/HADOOP-18384)
ITestS3AFileSystemStatistic failure in prefetch feature branch
* [HADOOP-18385](https://issues.apache.org/jira/browse/HADOOP-18385)
ITestS3ACannedACLs failure; not in a span.
I don't believe any are related, rather that changing the #of tests
triggered latent issues surfacing from different states of the jvm before each
suite, or, in the case of the landsat one, some change in the endpoint.
### For code changes:
- [X] Does the title or this PR starts with the corresponding JIRA issue id
(e.g. 'HADOOP-17799. Your PR title ...')?
- [X] 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: 797311)
Time Spent: 14h 10m (was: 14h)
> High performance S3A input stream with prefetching & caching
> ------------------------------------------------------------
>
> Key: HADOOP-18028
> URL: https://issues.apache.org/jira/browse/HADOOP-18028
> Project: Hadoop Common
> Issue Type: Improvement
> Components: fs/s3
> Reporter: Bhalchandra Pandit
> Assignee: Bhalchandra Pandit
> Priority: Major
> Labels: pull-request-available
> Time Spent: 14h 10m
> Remaining Estimate: 0h
>
> I work for Pinterest. I developed a technique for vastly improving read
> throughput when reading from the S3 file system. It not only helps the
> sequential read case (like reading a SequenceFile) but also significantly
> improves read throughput of a random access case (like reading Parquet). This
> technique has been very useful in significantly improving efficiency of the
> data processing jobs at Pinterest.
>
> I would like to contribute that feature to Apache Hadoop. More details on
> this technique are available in this blog I wrote recently:
> [https://medium.com/pinterest-engineering/improving-efficiency-and-reducing-runtime-using-s3-read-optimization-b31da4b60fa0]
>
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