Thanks Jorn for your interest and appreciate your helpful comments.

 

I am primarily interested in this case to make Hive work with Spark engine. It 
may well be that it is work in progress and we have to wait for it.

 

Regards,

 

Mich

 

From: Jörn Franke [mailto:jornfra...@gmail.com] 
Sent: 27 November 2015 14:03
To: Mich Talebzadeh <m...@peridale.co.uk>
Cc: user <user@spark.apache.org>
Subject: Re: Hive using Spark engine alone

 

Hi,

 

I recommend to use the latest version of Hive. You may also wait for hive on 
tez with tez version >= 0.8 and hive > 1.2. Before that I recommend first 
trying other optimizations of Hive and have a look at the storage format 
together with storage indexes (not the regular ones), bloom filters, partitions 
 etc

Then, check the data model. A data model using only varchar is pretty useless. 

Afterwards check the execution engine (tez, spark, etc.). Most common Hadoop 
distribution should have at least spark preconfigured. Alternatively, if you do 
not deal with bulk analytics but more single inserts updates, deletes, you may 
want to use an external hbase table. Finally, you can check in-memory caches.

 

Best regards

 

 


On 27 Nov 2015, at 11:43, Mich Talebzadeh <m...@peridale.co.uk 
<mailto:m...@peridale.co.uk> > wrote:

Hi,

 

As a matter of interest has anyone installed and configured Spark to be used as 
the execution engine for Hive please?

 

This is in contrast to install and configure Spark as an application.

 

Spark by default uses MapReduce  as its execution engine which is more for 
batch processing. The primary reason I want to use Hive on Spark engine is for 
performance.

 

Thanks,

 

Mich Talebzadeh

 

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