Ah, sounds like you could change your data model.
Perhaps using a Standard CF with and 0.7 secondary indexes would suit you.
Or if you code knows the value for both attributes, just use these as a key and
get all the data for the row. One simple lookup. It's ok to denormalise your
data to supp
Thanks Aaron!
The first request requires you to know the SuperColumn name. In my case I
don't know the SuperColumn name cause if I know then I can read the super
column. I need to find the SuperColumn that has column with given value for
a given column.
The usecase is that application allows query
You can use column and super column names with the get_slice() function without 0.7 secondary indexes. I'm assuming that the original query was to test for the existence of a column by name. In the case below, to retrieve the full super column would require to request...First to test the condition.
actually, the solution would be something like my last mail, but pointing to
the name of the super column and the row key
Nicolas Santini
Director of Cloud Computing
Auckland - New Zealand
(64) 09 914 9426 ext 2629
(64) 021 201 3672
On Fri, Dec 3, 2010 at 1:08 PM, Nick Santini wrote:
> Hi,
>
Hi,
as I got answered on my mail, secondary indexes for super column families is
not supported yet, so you have to implement your own
easy way: keep another column family where the row key is the value of your
field and the columns are the row keys of your super column family
(inverted index)
N
Hi,
My schema has a row that has thousands of Super Columns. The size of each
super column is around 500B (20 columns). I need to query 1 SuperColumn
based on value of one of its column. Something like
SELECT SuperColumn FROM Row WHERE SuperColumn.column="value"
Questions:
1. Is this possible wi
