neither Peridale Ltd, its subsidiaries nor their employees accept any
responsibility.
From: Jörn Franke [mailto:jornfra...@gmail.com]
Sent: 08 January 2016 06:20
To: user@hive.apache.org
Subject: Re: Impact of partitioning on certain queries
This observation is correct and it is the
ed. It is the
> responsibility of the recipient to ensure that this email is virus free,
> therefore neither Peridale Ltd, its subsidiaries nor their employees accept
> any responsibility.
>
> From: Jörn Franke [mailto:jornfra...@gmail.com]
> Sent: 08 January 2016 06:20
&g
rn Franke [mailto:jornfra...@gmail.com]
Sent: 08 January 2016 08:49
To: user@hive.apache.org
Subject: Re: Impact of partitioning on certain queries
Well you use a text format for your data so you should not be surprised. For
text based formats, such as csv, you can always use the hive bitmap
Of Gopal
Vijayaraghavan
Sent: 08 January 2016 09:34
To: user@hive.apache.org
Subject: Re: Impact of partitioning on certain queries
> Ok we hope that partitioning improves performance where the predicate
>is on partitioned columns
Nope.
Partitioning *only* improves perfo
is the
> responsibility of the recipient to ensure that this email is virus free,
> therefore neither Peridale Ltd, its subsidiaries nor their employees accept
> any responsibility.
>
> From: Jörn Franke [mailto:jornfra...@gmail.com]
> Sent: 08 January 2016 08:49
> To:
Ok we hope that partitioning improves performance where the predicate is on
partitioned columns
I have two tables. One a basic table called smallsales defined as below
CREATE TABLE `smallsales`( |
| `prod_id` bigint,
This observation is correct and it is the same behavior as you see it in other
databases supporting partitions. Usually you should avoid many small partitions.
> On 07 Jan 2016, at 23:53, Mich Talebzadeh wrote:
>
> Ok we hope that partitioning improves performance where