Hi plesner,

I don't think you are hitting the 2^63 limit. To do that you would have to
read over your whole 10MB of data 1000 times per second for 232 years.

My guess is that there is indeed a bug in the Python library. Could you
file a bug against pycapnp, and include a test case to show which code path
you are hitting?

-Kenton

On Tue, Feb 14, 2017 at 1:26 AM, <[email protected]> wrote:

> Over the weekend I migrated the android app I'm working on from using
> protobufs to capnproto messages and it's been great -- I zip the data
> anyway so it's not much larger and the infinite speedup when loading really
> makes a difference for what I'm doing. It's a game changer.
>
> There is a problem though. I generate all messages myself, they're
> relatively large (>10MB) and they are long-lived: days, possibly weeks, as
> long as the app lives. Initially I kept tripping the traversal limit and
> even after increasing the limit to 2^63 everywhere some of my tests still
> reliably fail because of it. It only happens with python tests, the java
> tests are fine, so that may be a bug in the python library but even if it
> is -- 2^63 isn't infinity, it can be hit within finite time and from a
> reliability standpoint it worries me that I don't know how to estimate a
> lower bound on that time. It seems to not be very long.
>
> What's the intended way for me to access my data without having to worry
> about tripping the limit? Should I open a new reader whenever I need to
> access my data? Or is there a way to convince myself that there is a limit
> I can set that will never be hit?
>
> Any input welcome.
>
>
> c
>
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