Stage-1: number of mappers: 3; number of
>>>>>> reducers: 1
>>>>>>
>>>>>> What could be setup wrong here? Or can it be avoided to use this ugly
>>>>>> cross join at all? I mean my original problem is actually something else
>>>>>> ;-)
>>>>>>
&
this ugly
>>>>> cross join at all? I mean my original problem is actually something else
>>>>> ;-)
>>>>>
>>>>> Cheers
>>>>> Wolli
>>>>>
>>>>>
>>>>> 2014-03-05 15
lli
>>>>
>>>>
>>>> 2014-03-05 15:07 GMT+01:00 java8964 :
>>>>
>>>> Hi, Wolli:
>>>>>
>>>>> Cross join doesn't mean Hive has to use one reduce.
>>>>>
>>>>> From query po
;> From query point of view, the following cases will use one reducer:
>>>>
>>>> 1) Order by in your query (Instead of using sort by)
>>>> 2) Only one reducer group, which means all the data have to send to one
>>>> reducer, as there is only one reducer
>>>
>>> 1) Order by in your query (Instead of using sort by)
>>> 2) Only one reducer group, which means all the data have to send to one
>>> reducer, as there is only one reducer group.
>>>
>>> In your case, distinct count of id1 will be the r
Sorry, my mistake. I didn't pay attention that you are using cross join.
Yes, cross join will always use one reducer, at least that is my understand.
Yong
Date: Wed, 5 Mar 2014 15:27:48 +0100
Subject: Re: Best way to avoid cross join
From: darkwoll...@gmail.com
To: user@hive.apache.org
hey
>> In your case, distinct count of id1 will be the reducer group count. Did
>> you explicitly set the reducer count in your hive session?
>>
>> Yong
>>
>> --
>> Date: Wed, 5 Mar 2014 14:17:24 +0100
>> Subject: Best way to avoid cross join
>> Fr
to send to one
> reducer, as there is only one reducer group.
>
> In your case, distinct count of id1 will be the reducer group count. Did
> you explicitly set the reducer count in your hive session?
>
> Yong
>
> ------
> Date: Wed, 5 Mar 2014
reducer group.
In your case, distinct count of id1 will be the reducer group count. Did you
explicitly set the reducer count in your hive session?
Yong
Date: Wed, 5 Mar 2014 14:17:24 +0100
Subject: Best way to avoid cross join
From: darkwoll...@gmail.com
To: user@hive.apache.org
Hey everyone,
Hey everyone,
before i write a lot of text, i just post something which is already
written:
http://www.sqlservercentral.com/Forums/Topic1328496-360-1.aspx
The first posts adresses a pretty similar problem i also have. Currently my
implementation looks like this:
SELECT id1,
MAX(
CASE
WHE
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