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https://issues.apache.org/jira/browse/CASSANDRA-1278?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12985854#action_12985854
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T Jake Luciani commented on CASSANDRA-1278:
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I haven't had much time to dig into this yet but here is what I observed so far:

1. took 12 + minutes to bulk load 1.8G of data locally.  I have no bearing if 
that is fast or slow but it felt slow, what should I expect?
2. compaction ran all during the bulk load. 
3. listcptdata needs a usage message
4. needs a readme file explaining this, since it's not obvious what's going on 
here


> 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: Matthew F. Dennis
>             Fix For: 0.7.1
>
>         Attachments: 1278-cassandra-0.7.txt
>
>   Original Estimate: 40h
>          Time Spent: 40.67h
>  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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