[
https://issues.apache.org/jira/browse/HADOOP-17296?focusedWorklogId=536339&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-536339
]
ASF GitHub Bot logged work on HADOOP-17296:
-------------------------------------------
Author: ASF GitHub Bot
Created on: 15/Jan/21 06:00
Start Date: 15/Jan/21 06:00
Worklog Time Spent: 10m
Work Description: sumangala-patki commented on pull request #2618:
URL: https://github.com/apache/hadoop/pull/2618#issuecomment-760666091
TEST RESULTS
HNS Account Location: East US 2
NonHNS Account Location: East US 2, Central US
```
HNS OAuth
[INFO] Tests run: 89, Failures: 0, Errors: 0, Skipped: 0
[WARNING] Tests run: 461, Failures: 0, Errors: 0, Skipped: 68
[WARNING] Tests run: 208, Failures: 0, Errors: 0, Skipped: 24
HNS SharedKey
[INFO] Tests run: 89, Failures: 0, Errors: 0, Skipped: 0
[WARNING] Tests run: 461, Failures: 0, Errors: 0, Skipped: 24
[WARNING] Tests run: 208, Failures: 0, Errors: 0, Skipped: 16
Non-HNS SharedKey
[INFO] Tests run: 89, Failures: 0, Errors: 0, Skipped: 0
[WARNING] Tests run: 461, Failures: 0, Errors: 0, Skipped: 249
[WARNING] Tests run: 208, Failures: 0, Errors: 0, Skipped: 16
```
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Issue Time Tracking
-------------------
Worklog Id: (was: 536339)
Time Spent: 40m (was: 0.5h)
> ABFS: Allow Random Reads to be of Buffer Size
> ---------------------------------------------
>
> Key: HADOOP-17296
> URL: https://issues.apache.org/jira/browse/HADOOP-17296
> Project: Hadoop Common
> Issue Type: Sub-task
> Components: fs/azure
> Affects Versions: 3.3.0
> Reporter: Sneha Vijayarajan
> Assignee: Sneha Vijayarajan
> Priority: Major
> Labels: abfsactive, pull-request-available
> Time Spent: 40m
> Remaining Estimate: 0h
>
> ADLS Gen2/ABFS driver is optimized to read only the bytes that are requested
> for when the read pattern is random.
> It was observed in some spark jobs that though the reads are random, the next
> read doesn't skip by a lot and can be served by the earlier read if read was
> done in buffer size. As a result the job triggered a higher count of read
> calls/higher IOPS, resulting in higher IOPS throttling and hence resulted in
> higher job runtime.
> When these jobs were run against Gen1 which always reads in buffer size , the
> jobs fared well.
> This Jira attempts to get a Gen1 customer migrating to Gen2 get the same
> overall i/o pattern as gen1 and the same perf characteristics.
> *+Stats from Customer Job:+*
>
> |*Customer Job*|*Gen 1 timing*|*Gen 2 Without patch*|*Gen2 with patch and
> RAH=0*|
> |Job1|2 h 47 m|3 h 45 m|2 h 27 mins|
> |Job2|2 h 17 m|3 h 24 m|2 h 39 mins|
> |Job3|3 h 16 m|4 h 29 m|3 h 21 mins|
> |Job4|1 h 59 m|3 h 12 m|2 h 28 mins|
>
> *+Stats from Internal TPCDs runs+*
> [Total number of TPCDs queries per suite run = 80
> Full suite repeat run count per config = 3]
> | |*Gen1*|Gen2 Without patch|*Gen2 With patch and RAH=0*
> *(Gen2 in Gen1 config)*|*Gen2 With patch and RAH=2*|
> |%Run Duration|100|140|213|70-90|
> |%Read IOPS|100|106|98|110-115|
>
> *Without patch = default Jar with random read logic
> *With patch=Modified Jar with change to always read buffer size
> *RAH=ReadAheadQueueDepth
>
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