[jira] [Work logged] (HADOOP-15245) S3AInputStream.skip() to use lazy seek

["ASF GitHub Bot (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/HADOOP-15245?focusedWorklogId=736578&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-736578 ]

ASF GitHub Bot logged work on HADOOP-15245:
-------------------------------------------

                Author: ASF GitHub Bot
            Created on: 04/Mar/22 10:54
            Start Date: 04/Mar/22 10:54
    Worklog Time Spent: 10m 
      Work Description: ahmarsuhail commented on a change in pull request #3927:
URL: https://github.com/apache/hadoop/pull/3927#discussion_r819469226



##########
File path: hadoop-tools/hadoop-aws/src/main/java/org/apache/hadoop/fs/s3a/statistics/impl/EmptyS3AStatisticsContext.java
##########
@@ -317,6 +322,9 @@ public long getInputPolicy() {
       return 0;
     }
 
+    @Override
+    public long getSkipOperations() { return 0; }

Review comment:
       @dannycjones have updated




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Issue Time Tracking
-------------------

    Worklog Id:     (was: 736578)
    Time Spent: 1h 20m  (was: 1h 10m)

> S3AInputStream.skip() to use lazy seek
> --------------------------------------
>
>                 Key: HADOOP-15245
>                 URL: https://issues.apache.org/jira/browse/HADOOP-15245
>             Project: Hadoop Common
>          Issue Type: Sub-task
>          Components: fs/s3
>    Affects Versions: 3.1.0
>            Reporter: Steve Loughran
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 1h 20m
>  Remaining Estimate: 0h
>
> the default skip() does a read and discard of all bytes, no matter how far ahead the skip is. This is very inefficient if the skip() is being done on S3A random IO, though exactly what to do when in sequential mode.
> Proposed: 
> * add an optimized version of S3AInputStream.skip() which does a lazy seek, which itself will decided when to skip() vs issue a new GET.
> * add some more instrumentation to measure how often this gets used



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