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https://issues.apache.org/jira/browse/CASSANDRA-1278?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13036451#comment-13036451
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Jonathan Ellis commented on CASSANDRA-1278:
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bq. It'd be nice if it printed the filename and the time it took for each time,
since just having the percentages reset is a bit confusing
Part of me likes that idea, but it might be dangerous to print a filename and
have the user assume it's "done," when in reality it only has the data
component streamed (with the rest pending rebuild on the target) so if the
target is killed & reset the tmp data file will just be deleted.
> Make bulk loading into Cassandra less crappy, more pluggable
> ------------------------------------------------------------
>
> Key: CASSANDRA-1278
> URL: https://issues.apache.org/jira/browse/CASSANDRA-1278
> Project: Cassandra
> Issue Type: Improvement
> Components: Tools
> Reporter: Jeremy Hanna
> Assignee: Sylvain Lebresne
> Fix For: 0.8.1
>
> Attachments: 0001-Add-bulk-loader-utility.patch,
> 1278-cassandra-0.7-v2.txt, 1278-cassandra-0.7.1.txt, 1278-cassandra-0.7.txt
>
> Original Estimate: 40h
> Time Spent: 40h 40m
> Remaining Estimate: 0h
>
> Currently bulk loading into Cassandra is a black art. People are either
> directed to just do it responsibly with thrift or a higher level client, or
> they have to explore the contrib/bmt example -
> http://wiki.apache.org/cassandra/BinaryMemtable That contrib module requires
> delving into the code to find out how it works and then applying it to the
> given problem. Using either method, the user also needs to keep in mind that
> overloading the cluster is possible - which will hopefully be addressed in
> CASSANDRA-685
> This improvement would be to create a contrib module or set of documents
> dealing with bulk loading. Perhaps it could include code in the Core to make
> it more pluggable for external clients of different types.
> It is just that this is something that many that are new to Cassandra need to
> do - bulk load their data into Cassandra.
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