Hi,

 

Can someone clarify whether hive approach to split follows what is essentially 
a UNIX/Linux command?

 

For example the following command will split a a_larg_file into partitions (sub 
files) of 250,000 bytes each called hql01.dat, hql02.dat and so forth

 

tar cz ./a_large_file |split -d -b 250000 hqlfile

 

 

HTH

 

Mich Talebzadeh

 

http://talebzadehmich.wordpress.com

 

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From: matshyeq [mailto:matsh...@gmail.com] 
Sent: 23 March 2015 10:41
To: user
Cc: Daniel Haviv
Subject: Re: Bucket pruning

 

To me there's practically very little difference between partitioning and 
bucketing (partitioning defines split criteria explicitly whereas bucketing 
somewhat implicitly) . Hive however recognises the latter as a separate feature 
and handles the two in quite different way.

 

There's already a feature request proposition to unify and bring the 
optimisations across (so it would address the "bucket pruning" issue I believe 
you're having):

 

https://issues.apache.org/jira/browse/HIVE-9523

 

Probably best if you vote for it so it gets some traction…

 

Regards 

~Maciek

 

On Fri, Mar 13, 2015 at 12:22 PM, cobby <ququr...@yahoo.com> wrote:

hi, thanks for the detailed response.
i will experiment with your suggested orc bloom filter solution.

it seems to me the obvious, most straight forward solution is to add support 
for hash partitioning. so i can do something like:

create table T()
partitioned by (x into num_partitions,..).

upon insert hash(x) determines which partition to put the record in. upon 
select, the query processor can now hash on x and scan only that partition 
(this optimization will probably work only on = and other discrete filtering 
but thats true for partitioning in general).
it seems all of this can be done early in the query plan phase and have no 
effect on underling infra.

regards,cobby.




> On 12 במרץ 2015, at 23:05, Gopal Vijayaraghavan <gop...@apache.org> wrote:
>
> Hi,
>
> No and it¹s a shame because we¹re stuck on some compatibility details with
> this.
>
> The primary issue is the fact that the InputFormat is very generic and
> offers no way to communicate StorageDescriptor or bucketing.
>
> The split generation for something SequenceFileInputFormat lives inside
> MapReduce, where it has no idea about bucketing.
>
> So InputFormat.getSplits(conf) returns something relatively arbitrary,
> which contains a mixture of files when CombineInputFormat is turned on.
>
> I have implemented this twice so far for ORC (for custom Tez jobs, with
> huge wins) by using an MRv2 PathFilter over the regular OrcNewInputFormat
> implementation, by turning off combine input and using Tez grouping
> instead.
>
> But that has proved to be very fragile for a trunk feature, since with
> schema evolution of partitioned tables older partitions may be bucketed
> with a different count from a newer partition - so the StorageDescriptor
> for each partition has to be fetched across before we can generate a valid
> PathFilter.
>
> The SARGs are probably a better way to do this eventually as they can
> implement IN_BUCKET(1,2) to indicate 1 of 2 instead of the ³00000_1²
> PathFilter which is fragile.
>
>
> Right now, the most fool-proof solution we¹ve hit upon was to apply the
> ORC bloom filter to the bucket columns, which is far safer as it does not
> care about the DDL - but does a membership check on the actual metadata &
> prunes deeper at the stripe-level if it is sorted as well.
>
> That is somewhat neat since this doesn¹t need any new options for querying
> - it automatically(*) kicks in for your query pattern.
>
> Cheers,
> Gopal
> (*) - conditions apply - there¹s a threshold for file-size for these
> filters to be evaluated during planning (to prevent HS2 from burning CPU).
>
>
> From:  Daniel Haviv <daniel.ha...@veracity-group.com>
> Reply-To:  "user@hive.apache.org" <user@hive.apache.org>
> Date:  Thursday, March 12, 2015 at 2:36 AM
> To:  "user@hive.apache.org" <user@hive.apache.org>
> Subject:  Bucket pruning
>
>
> Hi,
> We created a bucketed table and when we select in the following way:
> select *
> from testtble
> where bucket_col ='X';
>
> We observe that there all of the table is being read and not just the
> specific bucket.
>
> Does Hive support such a feature ?
>
>
> Thanks,
> Daniel
>
>

 

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