I'm using the Random Partitioner, and I'm wondering if there's a way to do the equivalent of a range scan to get a batch of random rows. I assume that the rows are rather randomly placed on disk across the cluster?
In other words, given a row 开发者_如何学Ckey in a random partition, is there a way to get X number of neighbors to that row as a random sample of data?
You may be able to do this by requesting an open-ended slice with a limit.
Using cassandra-cli, with a columnFamily of 'Test', you can do commands such as:
list Test['key':] limit 10;
Note that ['key':]
and [:'key']
return the same results.
精彩评论