Regarding the first option that you suggested through composite columns,
can I store the username & id both in the column name and keep the column
valueless?
Will I be able to retrieve both the username and id from the composite col
name ?
Thanks a lot
On Wed, Nov 16, 2011 at 10:56 AM, Aditya Narayan <ady...@gmail.com> wrote:
> Got the first option that you suggested.
>
> However, In the second one, are you suggested to use, for e.g,
> key='Marcos' & store cols, for all users of that name, containing userId
> inside that row. That way it would have to read multiple rows while user is
> doing a single search.
>
>
> On Wed, Nov 16, 2011 at 10:47 AM, samal <samalgo...@gmail.com> wrote:
>
>>
>> > I need to add 'search users' functionality to my application. (The
>>>> trigger for fetching searched items(like google instant search) is made
>>>> when 3 letters have been typed in).
>>>> >
>>>> > For this, I make a CF with String type keys. Each such key is made of
>>>> first 3 letters of a user's name.
>>>> >
>>>> > Thus all names starting with 'Mar-' are stored in single row (with
>>>> key="Mar").
>>>> > The column names are framed as remaining letters of the names. Thus,
>>>> a name 'Marcos' will be stored within rowkey "Mar" & col name "cos". The id
>>>> will be stored as column value. Since there could be many users with same
>>>> name. Thus I would have multple userIds(of users named "Marcos") to be
>>>> stored inside columnname "cos" under key "Mar". Thus,
>>>> >
>>>> > 1. Supercolumn seems to be a better fit for my use case(so that ids
>>>> of users with same name may fit as sub-columns inside a super-column) but
>>>> since supercolumns are not encouraged thus I want to use an alternative
>>>> schema for this usecase if possible. Could you suggest some ideas on this ?
>>>> >
>>>>
>>>
>> Aditya,
>>
>> Have you any given thought on Composite columns [1]. I think it can help
>> you solve your problem of multiple user with same name.
>>
>> mar:{
>> {cos,unique_user_id}:unique_user_id,
>> {cos,1}:1,
>> {cos,2}:2,
>> {cos,3}:3,
>>
>> // {utf8,timeUUID}:timeUUID,
>> }
>> OR
>> you can try wide rows indexing user name to ID's
>>
>> marcos{
>> user1:' ',
>> user2:' ',
>> user3:' '
>> }
>>
>> [1]http://www.slideshare.net/edanuff/indexing-in-cassandra
>>
>>
>
