Also, Sylvain, you have couple of great posts about relationships between CQL3/Thrift entities and naming issues:
http://www.datastax.com/dev/blog/cql3-for-cassandra-experts http://www.datastax.com/dev/blog/thrift-to-cql3 I always refer to them when I get confuse :) Regards, Shahab On Fri, Sep 6, 2013 at 3:04 AM, Hannu Kröger <hkro...@gmail.com> wrote: > Hi, > > Well, that was a word to word quotation. :) > > Anyways, I think what you just said is a better explanation than those two > previous ones. I hope it ends up on the wiki page because what it says > there now is causing confusion, no matter how correct it technically is :) > > Cheers, > Hannu > > > 2013/9/6 Sylvain Lebresne <sylv...@datastax.com> > >> Well, I don't know if that's what Patrick replied but that's not correct. >> The wording *is* correct, though it does uses CQL3 terms. >> For CQL3, the term "partition" is used to describe all the (CQL) rows >> that share the same partition key (If you don't know what the latter is: >> http://cassandra.apache.org/doc/cql3/CQL.html). >> So it says that all the rows sharing a particular partition key >> multiplied by their number of effective columns is capped at 2 billions. >> >> In the thrift terminology, this means a 'thrift row' (not to be confused >> with a CQL3 row) cannot have more that 2 billions thrift columns'. >> >> -- >> Sylvain >> >> >> On Fri, Sep 6, 2013 at 7:55 AM, Hannu Kröger <hkro...@gmail.com> wrote: >> >>> I asked the same thing earlier and this is what patrick mcfadin replied: >>> "It's not worded well. Essentially it's saying there is a 2B limit on a >>> row. It should be worded a 'CQL row'" >>> >>> I hope helps. >>> >>> Cheers, >>> Hannu >>> >>> On 6.9.2013, at 8.20, J Ramesh Kumar <rameshj1...@gmail.com> wrote: >>> >>> Hi, >>> >>> http://wiki.apache.org/cassandra/CassandraLimitations >>> >>> In the above link, I found the below limitation, >>> >>> "The maximum number of cells (rows x columns) in a single partition is 2 >>> billion.". >>> >>> Here what does "partition" mean ? Is it node (or) column family (or) >>> anything else ? >>> >>> Thanks, >>> Ramesh >>> >>> >> >
