Yes, but as I said it may not be the optimal design. You may end up with a single row very big row. - you could use multiple rows, each holding a range of counts. - you could use a standard CF and store the count in the row key, then use get_range_slices. Using the random partition you will need to
Ok so basically an "array" of words grouped by their count?
Something like this?
{
SearchLogs : {
ALL : {
999: { word1:word1, word2:word2, word3:word3 }
998: { word1:word1, word2:word2, word3:word3 }
}
}
}
On 7/29/10 2:50 PM, Aaron Morton wrote:
One metho
One method would be to use a Super Column Family. Have one row, in that create a column family for each count value you have, and then in the super column create a column for each word. Set the CompareWith for the super col to be LongType and the CompareSubcolumnsWith to be AsciiTyoe or UTFType. Yo
I know there is no native support for "order by", "group by" etc but I
was wondering how it could be accomplished with some custom indexes?
For example, say I have a list of word counts like (notice 2 words have
the same count):
"cassandra" => 100
"foo" => 999
"bar" => 1
"
