RandomPartioner  is for row-keys.

#1  no
#2 yes
#3 yes

On Sat, Apr 24, 2010 at 4:33 AM, Larry Root <la...@armorgames.com> wrote:

> I trying to better understand how using the RandomPartitioner will affect
> my ability to select ranges of keys. Consider my simple example where we
> have many online games across different game genres (GameType). These games
> need to store data for each one of their users. With that in mind consider
> the following data model:
>
> enum GameType {'RPG', 'FPS', 'ARCADE'}
>
> {
>     "GameData": {                         // Super Column Family
>
>         *GameType+"1234"*: {                // Row (concat gametype with a
> game id for example)
>             *"user-data:5678"*:{            // Super column (user data)
>                 *"user_prop_name"*: "value",// Subcolumn (arbitrary user
> properties and values)
> *                "another_prop_name"*: "value",
>                  ...
>             },
>             *"user-data:9012"*:{
>                 *"**user_prop_name**"*: "value",
>                  ...
>             }
>         },
>
>         * GameType+"3456"*: {...},
>         *GameType+"7890"*: {...},
>         ...
>     }
> }
>
> Assume we have a multi node cluster running Cassandra 0.6.1. In that
> scenario could some one help me understand what the result would be in the
> following cases:
>
>    1. We use a range slice to grab keys for all 'RPG' games (range slice
>    at the ROW level). Would we be able to get all games back in a single query
>    or would that not be guaranteed?
>
>    2. For a given game we use a range slice to grab all user-data keys in
>    which the ID starts with '5' (range slice at the COLUMN level). Again, 
> would
>    we be able to get all keys in one call (assuming number of keys in the
>    result was not an issue)?
>
>    3. Finally for a given game and a given user we do a range slice to
>    grab all user properties that start with 'a' (range slice at the SUBCOLUMN
>    level of a SUPERCOLUMN). Is that possible in one call?
>
> I'm trying to understand at what level the RandomPartioner affects my
> example data model. Is it at a fixed level like just ROWS (the sub data is
> fixed to the same node) or is all data at every level *randomized* across
> all nodes.
>
> Are there any tricks to doing these sort of range slices using RP? For
> example if I set my consistency level to 'ALL' when doing a range slice
> would that effectively compile a complete result set for me?
>
> Thanks for the help!
>
> larry

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