Hi Andrew,

That's a lovely solution. Is this functionality part of your frameworks? (besides the JSON-RPC-stuff) I also like the distributed aspect, that could be useful in my case. Besides, you planted a seed in my brain - now my fingers are itching to write something like a simple Xgrid-style server/client to perform distributed EOF-operations. :-)

Cheers,
- Hugi

PS: Heh, class names like that happen after midnight :-).

// Hugi Thordarson
// http://hugi.karlmenn.is/



On 10.1.2009, at 11:13, Andrew Lindesay wrote:

Hello Hugi;

"KMMassiveOperation" <--- that's a really great class name.

What I do is to pull GID's or PK's for all of the objects involved using raw rows. As you say, sometimes the data sets are large enough that I have to further subdivide them on a domain-specific basis, but I won't complicate matters further... In any case, I get lots of GID's or PK's. Then I batch them up into (for example) lots of 100 or so and then farm the work-load out over JMS (more recently using JSON-RPC through a "JMS adaptor") so that the processing is able to run concurrently over a number of instances on a number of hosts. The number of instances involved increases the concurrency and hence the pressure on the database system. In the case of writing out CSV or Excel-readable XML files, I push the results from the workers into a "BLOB stream" -- effectively just a series of BLOBs that make up one long piece of contiguous data. The control and monitoring systems for all this are quite complex, but it does work well and I can do it all in EOF without resorting to SQL.

cheers.

Anyway, I would love to hear how other folks are handling huge datasets. I would love fedback on the technique I'm using, and ieas for improvement would be great. Just about the only idea I'm not open to is "just use JDBC" ;-). I've been there and I don't want to be there. That's why I'm using EOF :-).

___
Andrew Lindesay
www.lindesay.co.nz


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