hadoop-common-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Steve Loughran (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HADOOP-14585) Ensure controls in-place to prevent clients with significant clock skews pruning aggressively
Date Fri, 01 Sep 2017 14:31:00 GMT

     [ https://issues.apache.org/jira/browse/HADOOP-14585?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Steve Loughran updated HADOOP-14585:
------------------------------------
    Priority: Minor  (was: Major)

> Ensure controls in-place to prevent clients with significant clock skews pruning aggressively
> ---------------------------------------------------------------------------------------------
>
>                 Key: HADOOP-14585
>                 URL: https://issues.apache.org/jira/browse/HADOOP-14585
>             Project: Hadoop Common
>          Issue Type: Sub-task
>          Components: fs/s3
>    Affects Versions: 3.0.0-beta1
>            Reporter: Sean Mackrory
>            Priority: Minor
>             Fix For: 3.1.0
>
>
> From discussion on HADOOP-14499:
> {quote}
> bear in mind that we can't guarantee that the clocks of all clients are in sync; you
don't want a client whose TZ setting is wrong to aggressively prune things. Had that happen
in production with files in shared filestore. This is why ant -diagnostics checks time consistency
with temp files...
> {quote}
> {quote}
> temp files work on a shared FS. AWS is actually somewhat sensitive to clocks: if your
VM is too far out of time then auth actually fails, its ~+-15 minutes. There's some stuff
in the Java SDK to actually calculate and adjust clock skew, presumably parsing the timestamp
of a failure, calculating the difference and retrying. Which means that the field in SDKGlobalConfiguration
could help identify the difference between local time and AWS time.
> {quote}



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)

---------------------------------------------------------------------
To unsubscribe, e-mail: common-issues-unsubscribe@hadoop.apache.org
For additional commands, e-mail: common-issues-help@hadoop.apache.org


Mime
View raw message