Dan,
The proper place to ask is in the mailing list:  "rhino-tools-dev" <
[email protected]>,
Answers below (and the mailing list is CCed).

On Fri, Apr 2, 2010 at 5:52 PM, Dan Jensen <[email protected]> wrote:

>  Paul Barrier (you linked to his talk about ETL recently) has since
> commented and suggested a couple
> of things to try.  I tried the SqlBatch option, but it was much slower.  So
> now I've started over-riding the
> Execute method of the SqlBulkInsertOperation in order to do smaller batches
> of inserts at a time.  Now
> the bulk insert itself is small, but I'm still getting the memory
> exception.  I next profiled the app with ANTS,
> and discovered that the cause of the exception was the collection of Row
> objects that is being passed
> between the operations in the process.  So this is my question:  Is there a
> way around this?
>
>

Hm, what is that collection? Who is maintaining it? Is it Rhino ETL?
If so, what executer are you using?


> I thought that by yielding to each subsequent operation, only one row at a
> time would be passed between
> the operations.
>

Yes, that is how it should work.
Of the top of my head, I can't think of a reason it would behave in this
manner.

  However, it looks like that collection continues to grow with each row
> processed.  So the
> only solution I can think of is to do a row count on the source table
> before starting, and then run the table
> in chunks through the ETL process.  This should prevent the Rows
> collection from growing too large.
>
>



> So if you have an idea of a more elegant solution, I'd really
> appreciate the help!
>
> Thank you very much,
> Dan
>
> P.S.  I did have one other question, actually.  I noticed in the code of
> the SqlBulInsertOperation that you aren't disposing
> the SqlBulkCopy object.  I don't know much about this object, so I was
> curious why you didn't?  I tried disposing
> it to see if that helped my problem, but it didn't.
>

I probably should dispose it, yes.

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