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we are executing two queries and storing the result sets and matching the data.
the table has got around 8 million records and while executing the same i am getting the Memory Issue.
TRACE Arguments: [ <DatabaseLibrary.resultset.Resultset instance at 0x01750828> | <DatabaseLibrary.resultset.Resultset instance at 0x01750E68> ] 
FAIL MemoryError 
DEBUG Traceback (most recent call last):
 File "c:\python26\lib\site-packages\DatabaseLibrary\__init__.py", line 52, in resultsets_should_match
 resultset1.matches_with(resultset2)
 File "c:\python26\lib\site-packages\DatabaseLibrary\resultset.py", line 37, in matches_with
 for row_a, row_b in zip(self, other): 
Please let me know how to resolve this issue

Can you provide a test case which can reproduce the issue? Specifically one which doesn't require the use of your DatabaseLibrary package?

please find the testcase i am using

Prashanth, I'm not even sure what to do with that file.
Can you provide a Python script which demonstrates your issue? It should be something that myself or others could run on their computer, free of any third party packages. This will isolate the issue to Python and show us how to reproduce what you are seeing.

If these 8 million records are loaded into memory, it can be normal to get a MemoryError. It depends on the complexity of the records (number of fields) and the way they are kept in memory (tuples? dicts?); and of course of the amount of available RAM in your system.
In any case your description of the problem is not sufficiently detailed for us to now whether it's a problem with Python, a problem with your code, or simply some mismatching expectations on your part.

I am new to this so apologies if I posting this in the wrong spot.
I am also getting a memory error on an 86MB python data file.It is one long list.As far as I can tell the data file is valid python code.My computer has 3.4 GB of ram.
When I type the following in a terminal 
> python mydatafile.py
On the following line I get 
MemoryError
That is all.

Peter, this looks like a different problem; please could you open a new issue?
When/if you do, please could you also report:
 - what version of Python you're using
 - your system details (what OS? 32-bit or 64-bit?)
If you can give us a better idea of what's in your 86Mb file, that would also help: perhaps post the first few and last few lines. What's in this list? Integers? Floats? Strings?
It's not totally implausible that Python really *does* need gigabytes of memory to process a list in an 86Mb file.

Closing the original issue: there's insufficient information to reproduce or analyze the problem.