tag:blogger.com,1999:blog-6369418367411691447.post1389351168012903222..comments2023-09-23T03:42:22.937-04:00Comments on Mike Subelsky: Real World Ruby and CassandraUnknownnoreply@blogger.comBlogger8125tag:blogger.com,1999:blog-6369418367411691447.post-76107211115072315652014-03-15T12:31:31.380-04:002014-03-15T12:31:31.380-04:00The canonical Evan Weaver article, 'Up and run...The canonical Evan Weaver article, 'Up and running with cassandra' (to which you link in your first paragraph, as well as in your 'further reading' section) has moved to http://blog.evanweaver.com/2009/07/06/up-and-running-with-cassandra/ <br /><br />Arin Sarkissian's blog post, 'WTF is a SuperColumn? An Intro to the Cassandra Data Model' (to which you link as 'WTF is a SuperColumn?' in your third paragraph, as well as in your 'further reading' section) has moved to: http://arin.me/post/40054651676/wtf-is-a-supercolumn-cassandra-data-model<br /><br />Eric Evans' article, 'Cassandra By Example' <br />(to which you link in your 'further reading' section) has moved to http://www.rackspace.com/blog/cassandra-by-example/<br /><br />The article, '4 Months with Cassandra, a love story' by Team Cloudkick (to which you link as 'Cloudkick Use Case' in your 'further reading' section) has been reposted by Chris Adams at http://chris.improbable.org/2010/3/2/4-months-with-cassandra-a-love-story/Mark D. Blackwellhttps://www.blogger.com/profile/15999097238112264588noreply@blogger.comtag:blogger.com,1999:blog-6369418367411691447.post-89084857439803677632014-03-15T10:59:14.770-04:002014-03-15T10:59:14.770-04:00This comment has been removed by the author.Mark D. Blackwellhttps://www.blogger.com/profile/15999097238112264588noreply@blogger.comtag:blogger.com,1999:blog-6369418367411691447.post-15317207926065410212014-03-15T10:57:52.147-04:002014-03-15T10:57:52.147-04:00This comment has been removed by the author.Mark D. Blackwellhttps://www.blogger.com/profile/15999097238112264588noreply@blogger.comtag:blogger.com,1999:blog-6369418367411691447.post-38924942976565694572010-09-10T14:51:54.214-04:002010-09-10T14:51:54.214-04:00Thanks for taking the time to write this down!Thanks for taking the time to write this down!Matthew McEachenhttps://www.blogger.com/profile/03862378488637222762noreply@blogger.comtag:blogger.com,1999:blog-6369418367411691447.post-71583573134990500722010-06-11T11:24:07.765-04:002010-06-11T11:24:07.765-04:00dboek, yes, you can do range slices based on parti...dboek, yes, you can do range slices based on partial keys. This works very efficiently if you are using the Order Preserving Partitioner (since Cassandra can just go around the ring one node at a time finding the keys). If you have the Random Partitioner it should still work but more slowly.Mike Subelskyhttps://www.blogger.com/profile/03590094055236393140noreply@blogger.comtag:blogger.com,1999:blog-6369418367411691447.post-79626953444498663242010-06-09T06:28:54.360-04:002010-06-09T06:28:54.360-04:00Thanks for your long post and sharing your experie...Thanks for your long post and sharing your experiences with Cassandra. <br />In your example a key and later a column name consists of a domain name and a timestamp. Is it possible to tell Cassandra to get alle keys starting with the domain name? Similar to the Like statement in MySQL? <br /><br />- Danieldboekhttps://www.blogger.com/profile/01698400263420025894noreply@blogger.comtag:blogger.com,1999:blog-6369418367411691447.post-34714541354428330472010-06-01T10:55:45.738-04:002010-06-01T10:55:45.738-04:00Hi David,
Thanks! That's not a bad alternativ...Hi David,<br /><br />Thanks! That's not a bad alternative to consider for this situation, except you have to pay for Splunk in a distributed setup or if you have > 500 MB. We also use Cassandra for a couple of other things (more secret sauce than this, but comparable use cases) so that's why I was favoring this approach.<br /><br />-MikeMike Subelskyhttps://www.blogger.com/profile/03590094055236393140noreply@blogger.comtag:blogger.com,1999:blog-6369418367411691447.post-54969927018463727952010-05-31T19:16:44.302-04:002010-05-31T19:16:44.302-04:00Cool article. Have you considered using throwing y...Cool article. Have you considered using throwing your data at Splunk, which also supports distributed setups, and has a bunch of tools that let you query the data and build out reports?<br /><br />I'm currently looking into Splunk to do heavy log crunching from my Rails app, and it's looking pretty nice. Less raw coding, more results?Unknownhttps://www.blogger.com/profile/16046407729160859858noreply@blogger.com