Thanks Kingsley and entire community for this meaning full discussion,
After this discussion, I have 2 follow-up question.

1. How do I create a new empty database in my existing virtuoso and start 
loading RDF data into that by default. I think this way I will be using 
column-wise structure.

2. If I want to convert existing tables to column store format. Using  
http://virtuoso.openlinksw.com/dataspace/doc/dav/wiki/Main/VirtTipsAndTricksRowToColStoreConversion

All my data is RDF data loaded using rdf_loader_run(). 
What tables other than "RDF_QUAD"  should be changed in order to maximize 
performance.



Thanks
sumit

-----Original Message-----
From: Kingsley Idehen [mailto:kide...@openlinksw.com] 
Sent: Thursday, May 22, 2014 7:24 AM
To: virtuoso-users@lists.sourceforge.net
Subject: Re: [Virtuoso-users] Using column store structure for exiting data

On 5/22/14 9:50 AM, Kingsley Idehen wrote:
>> Is it normal that re-loading the data takes significantly more time 
>> than dumping it?
>>
>> Regards,
>> Bart
>
> Yes, for the following reasons:
>
> 1. Exporting is just about writing to files 2. Importing is about 
> indexing and writing to internal identifiers (named graph IRIs).
>
> You can speed up you loads by running multiple loaders in parallel. 
> Even better if you are using the cluster edition as the same source 
> files could be copied to multiple physical cluster nodes where each is 
> running multiple loaders.
>
>
> Links:
>
> [1] http://bit.ly/11pPq6F -- old bulking load report re., Virtuoso 7 
> and LOD Cloud Cache.

To be precise, I meant to say:

1. Exporting is just about writing to files 2. Importing is about writing to 
*internal documents* (data partitions or sources) denoted by named graph IRIs 
and indexing.

-- 

Regards,

Kingsley Idehen 
Founder & CEO
OpenLink Software
Company Web: http://www.openlinksw.com
Personal Weblog: http://www.openlinksw.com/blog/~kidehen
Twitter Profile: https://twitter.com/kidehen
Google+ Profile: https://plus.google.com/+KingsleyIdehen/about
LinkedIn Profile: http://www.linkedin.com/in/kidehen






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