pyax team mailing list archive

[Kevin Shuk <surf@xxxxxxxxxxxxx>]

I'm making the assumption that you're query is resulting in a very large
data set - many fields, some quite large and perhaps many records.

Run the query, only instead of returning fields, return count() to see how many rows you're expecting back.
How many fields are you requesting in your query and how big are they?
Do you have a UNIX instance on which you can try this query in pyax? This may be exacerbated by differences in Windows' memory management.

The most immediate thing you can try is to reduce the number of fields
you're returning - exclude any that are not necessary (especially large
text fields).

Also, if the query wants to return more than 200 rows, we can try
reducing the query batch size to the minimum of 200 rows at a time. This
will require releasing some code that's checked in, but not yet on the
release branch.

** Changed in: pyax
       Status: New => Triaged

-- 
Python gzip lib says "MemoryError: Can't allocate memory for compression object"
https://bugs.launchpad.net/bugs/256141
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