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https://issues.apache.org/jira/browse/HADOOP-18028?focusedWorklogId=796067&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-796067
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ASF GitHub Bot logged work on HADOOP-18028:
-------------------------------------------
Author: ASF GitHub Bot
Created on: 28/Jul/22 13:28
Start Date: 28/Jul/22 13:28
Worklog Time Spent: 10m
Work Description: steveloughran opened a new pull request, #4654:
URL: https://github.com/apache/hadoop/pull/4654
### Description of PR
This is the feature branch feature/HADOOP-18028-s3a-prefetch rebased on
trunk to see how yetus likes it.
If all is good I will force push it to the asf branch, so things are up to
date.
rebase merge issues
* Constants, docs
* S3AReadOpsContext
some compilation errors to fix
### How was this patch tested?
### 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: 796067)
Time Spent: 14h (was: 13h 50m)
> 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
> 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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