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https://issues.apache.org/jira/browse/HADOOP-11867?focusedWorklogId=711159&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-711159
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ASF GitHub Bot logged work on HADOOP-11867:
-------------------------------------------
Author: ASF GitHub Bot
Created on: 19/Jan/22 08:00
Start Date: 19/Jan/22 08:00
Worklog Time Spent: 10m
Work Description: mukund-thakur opened a new pull request #3904:
URL: https://github.com/apache/hadoop/pull/3904
### Description of PR
Adding support for multiple ranged read async api in PositionedReadable. The
default iterates through the ranges to read each synchronously, but the intent
is that FSDataInputStream subclasses can make more efficient readers especially
object stores implementation.
### How was this patch tested?
Added benchmarks.
Added UT's
Added new contract tests for new API spec.
### 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?
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Issue Time Tracking
-------------------
Worklog Id: (was: 711159)
Time Spent: 10h 50m (was: 10h 40m)
> FS API: Add a high-performance vectored Read to FSDataInputStream API
> ---------------------------------------------------------------------
>
> Key: HADOOP-11867
> URL: https://issues.apache.org/jira/browse/HADOOP-11867
> Project: Hadoop Common
> Issue Type: New Feature
> Components: fs, fs/azure, fs/s3, hdfs-client
> Affects Versions: 3.0.0
> Reporter: Gopal Vijayaraghavan
> Assignee: Mukund Thakur
> Priority: Major
> Labels: performance, pull-request-available
> Time Spent: 10h 50m
> Remaining Estimate: 0h
>
> The most significant way to read from a filesystem in an efficient way is to
> let the FileSystem implementation handle the seek behaviour underneath the
> API to be the most efficient as possible.
> A better approach to the seek problem is to provide a sequence of read
> locations as part of a single call, while letting the system schedule/plan
> the reads ahead of time.
> This is exceedingly useful for seek-heavy readers on HDFS, since this allows
> for potentially optimizing away the seek-gaps within the FSDataInputStream
> implementation.
> For seek+read systems with even more latency than locally-attached disks,
> something like a {{readFully(long[] offsets, ByteBuffer[] chunks)}} would
> take of the seeks internally while reading chunk.remaining() bytes into each
> chunk (which may be {{slice()}}ed off a bigger buffer).
> The base implementation can stub in this as a sequence of seeks + read() into
> ByteBuffers, without forcing each FS implementation to override this in any
> way.
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