You are welcome Phil

 

Dr Mich Talebzadeh

 

LinkedIn  
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Sybase ASE 15 Gold Medal Award 2008

A Winning Strategy: Running the most Critical Financial Data on ASE 15

http://login.sybase.com/files/Product_Overviews/ASE-Winning-Strategy-091908.pdf

Author of the books "A Practitioner’s Guide to Upgrading to Sybase ASE 15", 
ISBN 978-0-9563693-0-7. 

co-author "Sybase Transact SQL Guidelines Best Practices", ISBN 
978-0-9759693-0-4

Publications due shortly:

Complex Event Processing in Heterogeneous Environments, ISBN: 978-0-9563693-3-8

Oracle and Sybase, Concepts and Contrasts, ISBN: 978-0-9563693-1-4, volume one 
out shortly

 

http://talebzadehmich.wordpress.com <http://talebzadehmich.wordpress.com/> 

 

NOTE: The information in this email is proprietary and confidential. This 
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From: Philip Lee [mailto:philjj...@gmail.com] 
Sent: 02 February 2016 16:10
To: user@hive.apache.org
Subject: Re: ORC format

 

I really appreicate what you told me through this emailing-list.

 

Best,

Phil

 

On Tue, Feb 2, 2016 at 12:16 PM, Mich Talebzadeh <m...@peridale.co.uk 
<mailto:m...@peridale.co.uk> > wrote:

Correct :). 

 

Lord knows how these spell checkers work sometime! Perish the thought of 
demoralising the data.

 

 

Regards,

 

 

Dr Mich Talebzadeh

 

LinkedIn  
https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw

 

Sybase ASE 15 Gold Medal Award 2008

A Winning Strategy: Running the most Critical Financial Data on ASE 15

http://login.sybase.com/files/Product_Overviews/ASE-Winning-Strategy-091908.pdf

Author of the books "A Practitioner’s Guide to Upgrading to Sybase ASE 15", 
ISBN 978-0-9563693-0-7. 

co-author "Sybase Transact SQL Guidelines Best Practices", ISBN 
978-0-9759693-0-4

Publications due shortly:

Complex Event Processing in Heterogeneous Environments, ISBN: 978-0-9563693-3-8

Oracle and Sybase, Concepts and Contrasts, ISBN: 978-0-9563693-1-4, volume one 
out shortly

 

http://talebzadehmich.wordpress.com <http://talebzadehmich.wordpress.com/> 

 

NOTE: The information in this email is proprietary and confidential. This 
message is for the designated recipient only, if you are not the intended 
recipient, you should destroy it immediately. Any information in this message 
shall not be understood as given or endorsed by Peridale Technology Ltd, its 
subsidiaries or their employees, unless expressly so stated. It is the 
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therefore neither Peridale Technology Ltd, its subsidiaries nor their employees 
accept any responsibility.

 

From: Lefty Leverenz [mailto:leftylever...@gmail.com 
<mailto:leftylever...@gmail.com> ] 
Sent: 02 February 2016 10:26


To: user@hive.apache.org <mailto:user@hive.apache.org> 
Subject: Re: ORC format

 

Can't resist teasing Mich about this:  "Indeed one often demoralises data 
taking advantages of massive parallel processing in Hive."

 

Surely he meant denormalizes <https://en.wikipedia.org/wiki/Denormalization> .  
Nobody would want to demoralise their data -- performance would suffer.  ;)




-- Lefty

 

 

On Mon, Feb 1, 2016 at 10:00 AM, Mich Talebzadeh <m...@peridale.co.uk 
<mailto:m...@peridale.co.uk> > wrote:

Thanks Alan for this explanation. Interesting to see Primary Key in Hive.

 

 

Sometimes comparison is made between Hive Storage Index concept in Orc and 
Oracle Exadata  storage index that also uses the same terminology!

 

It is a bit of a misnomer to call Oracle Exadata indexes a “storage index”, 
since it appears that Exadata stores data block from tables in the storage 
index, usually when they are accessed via a full-table scan.  In this context 
Exadata storage index is not a “real” index in the sense that the storage index 
exists only in RAM, and it must be re-created from scratch when the Exadata 
server is bounced.

 

Oracle Exadata  and SAP HANA as far as I know force serial scans into Hardware 
- with HANA, it is by pushing the bitmaps into the L2 cache on the chip - 
Oracle has special processors on SPARC T5 called D???? <something> that 
offloads the column bit scan off the CPU and onto separate specialized HW.  As 
a result, both rely on massive parallelization..

 

 

Orc storage index is neat and different from both Exadata and SAP HANA, The way 
I see ORC storage indexes

 

*         They are combined Index and statistics. 

*         Each index has statistics of min, max, count, and sum for each column 
in the row group of 10,000 rows.

*         Crucially, it has the location of the start of each row group, so 
that the query can jump straight to the beginning of the row group. 

*         The query can do  a SARG pushdown that limits which rows are required 
for the query and can avoid reading an entire file, or at least sections of the 
file which is by and large what a conventional RDBMS B-tree index does.

 

 

Cheers,

 

Dr Mich Talebzadeh

 

LinkedIn  
https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw

 

Sybase ASE 15 Gold Medal Award 2008

A Winning Strategy: Running the most Critical Financial Data on ASE 15

http://login.sybase.com/files/Product_Overviews/ASE-Winning-Strategy-091908.pdf

Author of the books "A Practitioner’s Guide to Upgrading to Sybase ASE 15", 
ISBN 978-0-9563693-0-7. 

co-author "Sybase Transact SQL Guidelines Best Practices", ISBN 
978-0-9759693-0-4

Publications due shortly:

Complex Event Processing in Heterogeneous Environments, ISBN: 978-0-9563693-3-8

Oracle and Sybase, Concepts and Contrasts, ISBN: 978-0-9563693-1-4, volume one 
out shortly

 

http://talebzadehmich.wordpress.com <http://talebzadehmich.wordpress.com/> 

 

NOTE: The information in this email is proprietary and confidential. This 
message is for the designated recipient only, if you are not the intended 
recipient, you should destroy it immediately. Any information in this message 
shall not be understood as given or endorsed by Peridale Technology Ltd, its 
subsidiaries or their employees, unless expressly so stated. It is the 
responsibility of the recipient to ensure that this email is virus free, 
therefore neither Peridale Technology Ltd, its subsidiaries nor their employees 
accept any responsibility.

 

From: Alan Gates [mailto:alanfga...@gmail.com <mailto:alanfga...@gmail.com> ] 
Sent: 01 February 2016 17:07
To: user@hive.apache.org <mailto:user@hive.apache.org> 
Subject: Re: ORC format

 

ORC does not currently expose a primary key to the user, though we have talked 
of having it do that.  As Mich says the indexing on ORC is oriented towards 
statistics that help the optimizer plan the query.  This can be very important 
in split generation (determining which parts of the input will be read by which 
tasks) as well as on the fly input pruning (deciding not to read a section of 
the file because the stats show that no rows in that section will match a 
predicate).  Either of these can help joins.  But as there is not a user 
visible primary key there's no ability to rewrite the join as an index based 
join, which I think is what you were asking about in your original email.

Alan.



 <mailto:philjj...@gmail.com> Philip Lee

February 1, 2016 at 7:27

Also,  

when making ORC from CSV, 

for indexing every key on each coulmn is made, or a primary on a table is made ?

 

If keys are made on each column in a table, accessing any column in some 
functions like filtering should be faster.






 

-- 

==========================================================

Hae Joon Lee

 

Now, in Germany,

M.S. Candidate, Interested in Distributed System, Iterative Processing

Dept. of Computer Science, Informatik in German, TUB

Technical University of Berlin

 

In Korea,

M.S. Candidate, Computer Architecture Laboratory

Dept. of Computer Science, KAIST 

 

Rm# 4414 CS Dept. KAIST

373-1 Guseong-dong, Yuseong-gu, Daejon, South Korea (305-701) 

 

Mobile) 49) 015-251-448-278 in Germany, no cellular in Korea

==========================================================



 <mailto:philjj...@gmail.com> Philip Lee

February 1, 2016 at 7:21

Hello,

 

I experiment the performance of some systems between ORC and CSV file.

I read about ORC documentation on Hive website, but still curious of some 
things.

 

I know ORC format is faster on filtering or reading because it has indexing.

Has it advantage of joining two tables of ORC dataset as well?

 

Could you explain about it in detail?

When experimenting, it seems like it has some advantages of joining in some 
aspect, but not quite sure what characteristic of ORC make this happening 
rather than CSV.

 

Best,

Phil

 

 





 

-- 

==========================================================

Hae Joon Lee

 

Now, in Germany,

M.S. Candidate, Interested in Distributed System, Iterative Processing

Dept. of Computer Science, Informatik in German, TUB

Technical University of Berlin

 

In Korea,

M.S. Candidate, Computer Architecture Laboratory

Dept. of Computer Science, KAIST 

 

Rm# 4414 CS Dept. KAIST

373-1 Guseong-dong, Yuseong-gu, Daejon, South Korea (305-701) 

 

Mobile) 49) 015-251-448-278 in Germany, no cellular in Korea

==========================================================

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