Am 27.02.2014 um 01:11 schrieb [email protected]:

> Hey guys,
> 
> 
> I wrote two different patches which optimize python proto performance.  Both 
> patches are running in production at Dropbox.  

I would love to see these patches being reintegrated.

Q: what is the relation to Python C bindings, if any?

regards, Michael

> What is the best way to upstream these changes?
> 
> 
> Patrick
> 
> ============================
> 
> Patch #1. Python message patch 
> (https://www.dropbox.com/s/q0y44ypti0by779/protobuf-2.5.0.patch1):
> 
> Changes:
> - precompute various varint tables
> - don't use proto's ByteSize function for serialization
> - simplified some code (got rid of the listener)
> - got rid of StringIO
> 
> Internal benchmark:
> - random repeated int32s - ~18% faster
> - random repeated int64s - ~20% faster
> - random repeated strings - 27% faster
> - random repeated bytes - 27% faster
> - repeated message with each with a single random string - ~20% faster
> 
> NOTE:
> - predefined_varints.py is generated by generate_predefined_varints.py
> 
> ============================
> 
> Patch #2. C++ experimental binding patch 
> (https://www.dropbox.com/s/5nr0v76nfraaxif/protobuf-2.5.0.patch2):
> 
> Changes:
> - fixed memory ownership / dangling pointer (see NOTE #1 for known issues)
>    1. inc ref count parent message when accessing a field, 
>    2. a cleared field's is freed only when the parent is deleted
> - fixed MakeDescriptor to correctly generating simple proto (see NOTE #2)
> - fixed MergeFrom to not crash on check failure due to self merge 
> - fixed both repeated and non-repeated field clearing 
> - modified varint deserialization to always return PyLong (to match existing 
> python implementation) 
> - always mark message as mutate when extending a repeated field (even when 
> extending by an empty list) 
> - deleted/updated bad tests from the protobuf test suite 
> 
> Internal benchmark (relative to the first patch):
> - 30x faster for repeated varints
> - 8x faster for repeated string
> - 6x faster for repeated bytes 
> - 26x speed up for repeated nested msg
> 
> NOTE: 
> 1. In the current implementation, a new python object is created each time a 
> field is accessed. To make this 100% correct, we should return the same 
> python object whenever the same field is accessed; however, I don't think the 
> accounting overhead is worth it.  Implications due to the current 
> implementation:
>    - repeatedly clearing / mutating the same message can cause memory blow up 
>    - There's a subtle bug with clearing / mutating default message fields: 
> 
>    This is correct. Holding a reference to a MUTATED field X, then clearing 
> the parent, then mutate X. e.g., 
>        child = parent.optional_nested_msg 
>        child.field = 123 # this mutates the field 
>        parent.Clear() 
>        child.field = 321 
>        assert not parent.HasField('child') # passes 
> 
>    This is incorrect. Holding a reference to a UNMUTATED field X, then 
> clearing the parent, then mutate X. 
>        child = parent.optional_nested_msg 
>        parent.Clear() 
>        child.field = 321 # this inadvertently causes parent to generate a 
> different empty msg for optional_nested_msg. 
>        assert not parent.HasField('optional_nested_msg') # fail 
> 
>    Luckily, these access patterns are extremely rare (at least at dropbox).
> 
> 2. I wrote a fully functional MakeDescriptor for c++ protos when I was at 
> google.  Talk to the F1 team (specifically Bart Samwel / Chad Whipkey) if 
> you're interested in upstreaming that to the opensource community.
> 
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