Right solution for persisting the huge amount of data

Posted on 2006-11-21
Last Modified: 2010-03-31
Hi Experts,

Recently I have got quite a challenging task. I did not have an experience dealing with huge amount of data before. So I'm looking for good solution for it. Basically as a source I have an xml data (200Mb file) it's approximately 50000 objects. I'm planning to use Weblogic as an application server, hibernate as a persistence layer and Oracle. I'm not sure whether hibernate is the right technology for it but I want to give it a go. If you had similar experience before I will appreciate if you can share it with me.

Thank you in advance
Question by:worldserga
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LVL 86

Expert Comment

ID: 17989963
If it's xml then it's tagged text and should compress well
LVL 23

Expert Comment

ID: 17989986
You are streaming the data and using hibernate, hibernate probably would not create overhead:

Use SAX parser to parse the elements and create as soon as you find complete data and call hibernate to persist that object
LVL 92

Expert Comment

ID: 17990315
this covers what u need to store the xml directly

or use Ajay-Singh's suggestion and parse the xml and use hibernate to persist the individual objects
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Author Comment

ID: 17997770
Basically I parse an xml data using XMLBeans. After the parsing there are 50000 objects that I need to persist. The only thing I'm concerned about is performance. Do you guys tried to persist 50000 objects?? Is there any performance issues??
LVL 23

Expert Comment

ID: 18001442
> Do you guys tried to persist 50000 objects?? Is there any performance issues??
LVL 23

Expert Comment

ID: 18001446
if you are using hibernate keep committing the transaction

Author Comment

ID: 18004140
Ajay-Singh I appreciate your help. And I will accept your answer. Do you have any figures how long does it take to persist 50000 objects??
LVL 23

Accepted Solution

Ajay-Singh earned 335 total points
ID: 18004274
> Do you have any figures how long does it take to persist 50000 objects??
It can never meet the plain old jdbc numbers, but it would be somewhere around 50% to 100% more than that.

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