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Posted to dev@flume.apache.org by "Inder SIngh (Issue Comment Edited) (JIRA)" <ji...@apache.org> on 2012/03/22 12:18:22 UTC
[jira] [Issue Comment Edited] (FLUME-1045) Proposal to support disk
based spooling
[ https://issues.apache.org/jira/browse/FLUME-1045?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13235503#comment-13235503 ]
Inder SIngh edited comment on FLUME-1045 at 3/22/12 11:17 AM:
--------------------------------------------------------------
Initial version of patch contains following
1. Skeleton code to disk based solution proposed in this JIRA.
Disclamer - This patch isn't functional/complete yet.
Objective is to get community consensus around the proposal.
was (Author: inder):
Initial version of patch contains following
1. Skeleton code to disk based solution proposed in this patch.
> Proposal to support disk based spooling
> ---------------------------------------
>
> Key: FLUME-1045
> URL: https://issues.apache.org/jira/browse/FLUME-1045
> Project: Flume
> Issue Type: New Feature
> Affects Versions: v1.0.0
> Reporter: Inder SIngh
> Priority: Minor
> Labels: patch
> Attachments: FLUME-1045-1.patch
>
>
> 1. Problem Description
> A sink being unavailable at any stage in the pipeline causes it to back-off and retry after a while. Channel's associated with such sinks start buffering data with the caveat that if you are using a memory channel it can result in a domino effect on the entire pipeline. There could be legitimate down times eg: HDFS sink being down for name node maintenance, hadoop upgrades.
> 2. Why not use a durable channel (JDBC, FileChannel)?
> Want high throughput and support sink down times as a first class use-case.
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