I know Composite columns are used for some very useful scenarios(like to
replace super columns) which cannot be helped with anything else.
But, for situations when you just need to pack many things in a single
column efficiently and such that the retrievals are also performant, which
one should be
If 3 rows in a column family need to be read together 'always', is it
preferable to just merge them in 1 row using composite col names(instead of
keeping in 3 rows) ? Does this improve read performance, anyway ?
I have a super columns family which I always use to retrieve a list of
supercolumns(with all subcolumns) by name. I am looking forward to replace
all SuperColumns in my schema with the composite columns.
How could I design schema so that I could do the equivalent of retrieving a
list of supercolum
Tuesday, January 03, 2012 3:12 PM
> To: user@cassandra.apache.org
> Cc: Asil Klin
> Subject: Re: Replacing supercolumns with composite columns; Getting the
> equivalent of retrieving a list of supercolumns by name
>
> The main issue with replacing super columns with composite columns right
Can anyone pass me a pdf copy of Cassandra The Definitive Guide ?
Thanks.
Asil
e.com/p/seide/
> // @iPad
>
> On 30/12/2010, at 01:26, asil klin wrote:
>
> > Can anyone pass me a pdf copy of Cassandra The Definitive Guide ?
> >
> >
> > Thanks.
> > Asil
>
stolen
>> goods.
>> -
>> Sincerely,
>> David G. Boney
>> dbon...@semanticartifacts.com
>> http://www.semanticartifacts.com
>>
>>
>>
>>
>> On Dec 29, 2010, at 10:51 PM, asil klin wrote:
>>
>> Can't I get
For what parts of a social network is Cassandra a good fit ? Is it
recommendable to throw all social network data into Cassandra
datastore specifically, what about the data for newsfeed generation
from user's network updates ?
1. ) If certain columns in a row get mutated too frequently or if new
columns are added to the row frequently then does the reads of old columns
that rarely get changed is also affected ? In other words, is the
performance of reads of almost infrequently changing columns in a row where
some columns
