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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
Hi Richa,

I have tried one query, with what i've understand of  Vijay's tips.

SELECT code_entite, RANK(mag.me_vente_ht) OVER (PARTITION BY mag.co_societe
ORDER BY  mag.me_vente_ht) AS rank FROM default.thm_renta_rgrp_produits_n_1
mag;

This query is working, it gives me results.

You say that maybe i'm hitting the same bug of JIRA HIVE-4663, but query is
also failling when i put analytical columns in...
2013/7/17 Richa Sharma <[EMAIL PROTECTED]>

> Vijay
>
> Jerome has already passed column -> mag.co_societe for rank.
>
> syntax -> RANK() OVER (PARTITION BY mag.co_societe ORDER BY
> mag.me_vente_ht)
> This will generate a rank for column mag.co_societe based on column value
> me_vente_ht
>
> Jerome,
>
> Its possible you are also hitting the same bug as I mentioned in my email
> before.
>
>
> Richa
>
>
> On Wed, Jul 17, 2013 at 2:31 PM, Vijay <[EMAIL PROTECTED]> wrote:
>
>> As the error message states: "One ore more arguments are expected," you
>> have to pass a column to the rank function.
>>
>>
>> On Wed, Jul 17, 2013 at 1:12 AM, Jérôme Verdier <
>> [EMAIL PROTECTED]> wrote:
>>
>>> Hi Richa,
>>>
>>> I have tried a simple query without joins, etc....
>>>
>>> SELECT RANK() OVER (PARTITION BY mag.co_societe ORDER BY
>>> mag.me_vente_ht),mag.co_societe, mag.me_vente_ht FROM
>>> default.thm_renta_rgrp_produits_n_1 mag;
>>>
>>> Unfortunately, the error is the same like previously.
>>>
>>> Error: Query returned non-zero code: 40000, cause: 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.
>>> SQLState:  42000
>>> ErrorCode: 40000
>>>
>>>
>>>
>>>
>>> 2013/7/17 Richa Sharma <[EMAIL PROTECTED]>
>>>
>>>> Jerome
>>>>
>>>> I would recommend that you try Rank function with columns from just one
>>>> table first.
>>>> Once it is established that rank is working fine then add all the joins.
>>>>
>>>> I am still on Hive 0.10 so cannot test it myself.
>>>> However, I can find a similar issue on following link - so its possible
>>>> you are facing issues due to this reported bug.
>>>>
>>>> https://issues.apache.org/jira/browse/HIVE-4663
>>>>
>>>>
>>>> Richa
>>>>
>>>>
>>>> On Tue, Jul 16, 2013 at 6:41 PM, Jérôme Verdier <
>>>> [EMAIL PROTECTED]> wrote:
>>>>
>>>>> 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,
*Jérôme VERDIER*
06.72.19.17.31
[EMAIL PROTECTED]