I recommend against using SQL::Translator for copying large data-sets as
the 'serialized as SQL statements' representation consumes a lot of
memory (as you have experienced). I prefer to serialize the source
data-set in delimited format and then use the platform-specific bulk
insert tool to load the data to the destination.

pjjH


-----Original Message-----
From: hadley wickham [mailto:[EMAIL PROTECTED] 
Sent: Sunday, November 25, 2007 9:37 AM
To: Harrington, Paul
Cc: [email protected]
Subject: Re: [sqlfairy-developers] Large SQL files

It's mostly data.  Does that change anything?

I can put most of the data up (95% is from one table).  Is there an
easy way to split up the one monolithic file into one for each table?

Hadley

On Nov 25, 2007 8:08 AM, Harrington, Paul <[EMAIL PROTECTED]>
wrote:
> Is that 100MB made up solely of schema? If you are able to put the
files
> up for FTP/HTTP somewhere, I can try and recreate the problem while
> profiling memory consumption.
>
> pjjH
>
>
>
> -----Original Message-----
> From: [EMAIL PROTECTED]
> [mailto:[EMAIL PROTECTED] On Behalf
Of
> Hadley Wickham
> Sent: Saturday, November 24, 2007 6:09 PM
> To: [email protected]
> Subject: [sqlfairy-developers] Large SQL files
>
> Hi,
>
> I was wondering if anyone has any tips on dealing with large (~100
> meg) sql files.  I get the following out of memory error:
>
> Desktop: sqlt -t SQLite -f MySQL mathpeople-imstat.sql >
dump-sqlite.sql
> perl(25882) malloc: *** mmap(size=221171712) failed (error code=12)
> *** error: can't allocate region
> *** set a breakpoint in malloc_error_break to debug
> Out of memory!
>
> Thanks!
>
> Hadley
>
>
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