Thanks, but still not working. Any other ideas?

On Wed, Jul 24, 2013 at 9:36 AM, Nitin Pawar <nitinpawar...@gmail.com>wrote:

> try rank(columntoberanked, columntobegrouped)
>
> in your case rank (userid, city)
>
>
> On Wed, Jul 24, 2013 at 3:47 AM, Shahar Glixman <sglix...@outbrain.com>wrote:
>
>> Hello,
>>
>> I'm trying to use GenericUDFRank described in:
>> https://issues.apache.org/jira/browse/HIVE-2361, however, no matter
>>  the query I use, the result is not what I expected.
>> Assume a user hive table with the format:
>> Country, City, userId
>>
>> I'm running the following query:
>>
>> ADD JAR Rank.jar;
>> CREATE TEMPORARY FUNCTION rank AS
>> 'com.nexr.platform.analysis.udf.GenericUDFRank';
>>
>> SELECT
>>   Country,
>>   City,
>>   rank(userId)
>>
>> FROM
>>   myTable
>>
>> DISTRIBUTE BY
>>   Country,
>>   City
>>
>> SORT BY
>>   Country,
>>   City
>>   userId;
>>
>> For the following table:
>> US NY 8
>> US NY 12
>> US NY 3
>> US NJ 10
>> US NJ 26
>>
>> I'm expecting the following result:
>> US NY 1
>> US NY 2
>> US NY 3
>> US NJ 1
>> US NJ 2
>>
>> But I get:
>> US NY 1
>> US NY 1
>> US NY 1
>> US NJ 1
>> US NJ 1
>>
>> I used also a different rank implementation (
>> http://www.edwardcapriolo.com/roller/edwardcapriolo/entry/doing_rank_with_hive)
>> but results
>>  were similar. I guess I'm using the UDF the wrong way, but I cant find
>> the correct way.
>> Any help is appreciated.
>>
>> thanks
>>
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>
>
>
> --
> Nitin Pawar
>

-- 
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