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Hive >> mail # user >> Use RANK OVER PARTITION function in Hive 0.11


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Re: Use RANK OVER PARTITION function in Hive 0.11
You can see my query below :

SELECT
            mag.co_magasin,
            dem.id_produit                                  as
id_produit_orig,
            pnvente.dt_debut_commercial                     as
dt_debut_commercial,
            COALESCE(pnvente.id_produit,dem.id_produit)     as id_produit,
            RANK() OVER (PARTITION BY mag.co_magasin, dem.id_produit ORDER
BY pnvente.dt_debut_commercial DESC,
COALESCE(pnvente.id_produit,dem.id_produit) DESC) as rang

FROM default.demarque_mag_jour dem
          LEFT OUTER JOIN default.produit_norm pn
          ON  pn.co_societe = dem.co_societe
          AND pn.id_produit = dem.id_produit
          LEFT OUTER JOIN default.produit_norm pnvente
          ON  pnvente.co_societe = pn.co_societe
          AND pnvente.co_produit_rfu = pn.co_produit_lip
          INNER JOIN default.kpi_magasin mag
          ON mag.id_magasin = dem.id_magasin

GROUP BY
            mag.co_magasin,
            dem.id_produit,
            pnvente.dt_debut_commercial,
            COALESCE(pnvente.id_produit,dem.id_produit);
2013/7/16 Richa Sharma <[EMAIL PROTECTED]>

> Can you share query with just RANK().
>
> Richa
>
>
> On Tue, Jul 16, 2013 at 6:08 PM, Jérôme Verdier <
> [EMAIL PROTECTED]> wrote:
>
>> Hi Richa,
>>
>> I tried to execute the rank function alone, but the result is the same
>>
>> Thanks
>>
>>
>> 2013/7/16 Richa Sharma <[EMAIL PROTECTED]>
>>
>>> Hi Jerome
>>>
>>>
>>> I think the problem is you are trying to use MIN, SUM and RANK function
>>> in a single query.
>>>
>>> Try to get the rank first in a query and on top of it apply these
>>> aggregate functions
>>>
>>> Richa
>>>
>>>
>>>
>>>
>>> On Tue, Jul 16, 2013 at 2:15 PM, Jérôme Verdier <
>>> [EMAIL PROTECTED]> wrote:
>>>
>>>> Hi,
>>>>
>>>> I have a problem while using RANK OVER PARTITION function with Hive.
>>>>
>>>> Hive is in version 0.11 and, as we can see here :
>>>> https://cwiki.apache.org/Hive/languagemanual-windowingandanalytics.html,
>>>> we can now use these functions in Hive.
>>>>
>>>> But, when i use it, i encountered this error :
>>>>
>>>> FAILED: SemanticException Failed to breakup Windowing invocations into
>>>> Groups. At least 1 group must only depend on input columns. Also check for
>>>> circular dependencies.
>>>> Underlying error:
>>>> org.apache.hadoop.hive.ql.exec.UDFArgumentTypeException: One or more
>>>> arguments are expected.
>>>>
>>>> Here is my script :
>>>>
>>>> SELECT
>>>>             mag.co_magasin,
>>>>             dem.id_produit                                  as
>>>> id_produit_orig,
>>>>             pnvente.dt_debut_commercial                     as
>>>> dt_debut_commercial,
>>>>             COALESCE(pnvente.id_produit,dem.id_produit)     as
>>>> id_produit,
>>>>             min(
>>>>               CASE WHEN dem.co_validation IS NULL THEN 0 ELSE 1 END
>>>>             )                                               as
>>>> flg_demarque_valide,
>>>>             sum(CASE WHEN dem.co_validation IS NULL THEN 0 ELSE
>>>> CAST(dem.mt_revient_ope AS INT) END)
>>>>                                                             as
>>>> me_dem_con_prx_cs,
>>>>             0                                               as
>>>> me_dem_inc_prx_cs,
>>>>             0                                               as
>>>> me_dem_prov_stk_cs,
>>>>             sum(CASE WHEN dem.co_validation IS NULL THEN 0 ELSE
>>>> CAST(dem.qt_demarque AS INT) END)
>>>>                                                             as
>>>> qt_dem_con,
>>>>             0                                               as
>>>> qt_dem_inc,
>>>>             0                                               as
>>>> qt_dem_prov_stk, -- !!!!!!!! VIRGULE
>>>>             RANK() OVER (PARTITION BY mag.co_magasin, dem.id_produit
>>>> ORDER BY pnvente.dt_debut_commercial DESC,
>>>> COALESCE(pnvente.id_produit,dem.id_produit) DESC) as rang
>>>>           from default.calendrier cal
>>>>           INNER JOIN default.demarque_mag_jour dem
*Jérôme VERDIER*
06.72.19.17.31
[EMAIL PROTECTED]