Issue 17810: Implement PEP 3154 (pickle protocol 4) (original) (raw)

Created on 2013-04-21 06:48 by alexandre.vassalotti, last changed 2022-04-11 14:57 by admin. This issue is now closed.

Messages (63)

msg187496 - (view)

Author: Alexandre Vassalotti (alexandre.vassalotti) * (Python committer)

Date: 2013-04-21 06:48

I have restarted the work on PEP 3154. Stefan Mihaila had begun an implementation as part of the Google Summer of Code 2012. Unfortunately, he hit multiple roadblocks which prevented him to finish his work by the end of the summer. He previously shown interest in completing his implementation. However he got constrained by time and never resumed his work.

So I am taking over the implementation of the PEP. I have decided to go forward with a brand new code, using Stefan's work only as a guide. At the moment, I have completed about half of the PEP---missing only support for calling new with keyword arguments and the use of new qualified name for referring objects.

Design-wise, there is still a few things that we should discuss. For example, I think Stefan's idea, which is not specified in the PEP, to eliminate PUT opcodes is interesting. His proposal was to emit an implicit PUT opcode after each object pickled and make the Pickler and Unpickler classes agree on the scheme. A drawback of this implicit scheme is we cannot be selective about which object we save in the memo during unpickling. That means, for example, we won't be able to make pickletools.optimize work with protocol 4 to reduce the memory footprint of the unpickling process. This scheme also alters the meaning of all previously defined opcodes because of the implicit PUTs, which is sort of okay because we are changing protocol. Alternatively, we could use an explicit scheme by defining new "fat" opcodes, for the built-in types we care about, which includes memoization. This scheme would a bit more flexible however it would also be slightly more involved implementation-wise. In any case, I will run benchmarks to see if either schemes are worthwhile.

msg187500 - (view)

Author: Antoine Pitrou (pitrou) * (Python committer)

Date: 2013-04-21 11:27

Thank you for reviving this :) A couple of questions:

For example, I think Stefan's idea, which is not specified in the PEP, to eliminate PUT opcodes is interesting. His proposal was to emit an implicit PUT opcode after each object pickled and make the Pickler and Unpickler classes agree on the scheme.

Are the savings worth it? I've tried pickletools.optimize() on two objects:

msg187510 - (view)

Author: Serhiy Storchaka (serhiy.storchaka) * (Python committer)

Date: 2013-04-21 15:00

Link to the previous attempt: .

msg187512 - (view)

Author: Serhiy Storchaka (serhiy.storchaka) * (Python committer)

Date: 2013-04-21 16:16

Memoization consumes memory during pickling. For now every memoized object requires memory for:

dict's entity; an id() integer object; a 2-element tuple; a pickle's index (an integer object).

It's about 80 bytes on 32-bit platform (and twice as this on 64-bit). For data which contains a lot of floats it can be cumbersome.

msg187516 - (view)

Author: Antoine Pitrou (pitrou) * (Python committer)

Date: 2013-04-21 17:19

Memoization consumes memory during pickling. For now every memoized object requires memory for:

dict's entity; an id() integer object; a 2-element tuple; a pickle's index (an integer object).

It's about 80 bytes on 32-bit platform (and twice as this on 64-bit).

As far as I understand, Alexandre doesn't propose to suppress memoization, only to make it implicit. Therefore the memory overhead would be the same (but the pickle would have less opcodes).

For data which contains a lot of floats it can be cumbersome.

Apparently, floats don't get memoized:

pickletools.dis(pickle.dumps([1.0, 2.0])) 0: \x80 PROTO 3 2: ] EMPTY_LIST 3: q BINPUT 0 5: ( MARK 6: G BINFLOAT 1.0 15: G BINFLOAT 2.0 24: e APPENDS (MARK at 5) 25: . STOP

msg187830 - (view)

Author: Raymond Hettinger (rhettinger) * (Python committer)

Date: 2013-04-26 05:55

I would like to see Proto4 include an option for compression (zlib,bz2) or somesuch and become self-decompressing upon unpickling. The primary use cases for pickling involve writing to disk or transmitting across a wire -- both use cases benefit from compression (with reduced read/write times).

msg187833 - (view)

Author: Charles-François Natali (neologix) * (Python committer)

Date: 2013-04-26 06:43

I would like to see Proto4 include an option for compression (zlib,bz2) or somesuch and become self-decompressing upon unpickling.

I don't see what this would bring over explicit compression:

msg187834 - (view)

Author: Antoine Pitrou (pitrou) * (Python committer)

Date: 2013-04-26 06:47

I don't see what this would bring over explicit compression:

I agree with Charles-François. A feature that may be actually nice to have in the pickle protocol would be some framing, to help with streaming unpickling (right now unpickling a stream can read almost one byte at a time, IIRC). However, that would also make the protocol and the pickler significantly more complex.

msg187874 - (view)

Author: Antoine Pitrou (pitrou) * (Python committer)

Date: 2013-04-26 20:28

A proof of concept hack to enable framing on pickle showed a massive performance increase on streaming unpickling (up to 5x faster with a C file object such as io.BytesIO, up to 150x faster with a pure Python file object such as _pyio.BytesIO). There is a slight slowdown on non-streaming operation, but that could probably be optimized.

msg187876 - (view)

Author: Antoine Pitrou (pitrou) * (Python committer)

Date: 2013-04-26 21:40

(note: I've updated PEP 3154 with framing and GLOBAL_STACK)

msg187877 - (view)

Author: Serhiy Storchaka (serhiy.storchaka) * (Python committer)

Date: 2013-04-26 21:42

A feature that may be actually nice to have in the pickle protocol would be some framing, to help with streaming unpickling (right now unpickling a stream can read almost one byte at a time, IIRC). However, that would also make the protocol and the pickler significantly more complex.

What if just use io.BufferedReader?

if not isinstance(file, io.BufferedReader):
    file = io.BufferedReader(file)

(at start of _Unpickler.init)

msg187878 - (view)

Author: Antoine Pitrou (pitrou) * (Python committer)

Date: 2013-04-26 21:45

What if just use io.BufferedReader?

if not isinstance(file, io.BufferedReader):
    file = io.BufferedReader(file)

(at start of _Unpickler.init)

Two problems:

  1. semantically, it is wrong; the BufferedReader will read bytes beyond the pickle end, so the underlying stream will be desynchronized

  2. performance-wise, it doesn't solve the issue either: read() method calls are costly, even on an optimized C object

msg187891 - (view)

Author: Serhiy Storchaka (serhiy.storchaka) * (Python committer)

Date: 2013-04-27 07:55

I were thinking about framing before looking at your last changes to PEP 3154 and I have two alternative propositions.

  1. Pack picked items in blocks of some predefined (or specified at the start with the BLOCKSIZE opcode) size. Only some large data (long strings, large integers) can cross the boundary between blocks. In all other cases the block should be padded with the NOP opcode.

  2. A similar to your proposition, but frames should be declared with a special PREFETCH opcode (with 2- or 4-bytes argument). Large data pickled outside frames (this prevents doublecopying). Opcode and size of large data object can (should?) be included in the previous frame.

msg187896 - (view)

Author: Antoine Pitrou (pitrou) * (Python committer)

Date: 2013-04-27 10:38

  1. Pack picked items in blocks of some predefined (or specified at the start with the BLOCKSIZE opcode) size. Only some large data (long strings, large integers) can cross the boundary between blocks. In all other cases the block should be padded with the NOP opcode.

Padding makes it both less efficient and more annoying to handle, IMO. My framing proof-of-concept ends up quite simple in terms of code complexity. For example, the C version only adds 125 lines of code in 3 additional functions.

  1. A similar to your proposition, but frames should be declared with a special PREFETCH opcode (with 2- or 4-bytes argument). Large data pickled outside frames (this prevents doublecopying).

No doublecopying is necessary (not in the C version, that is). That said, this is an interesting idea.

msg187918 - (view)

Author: Serhiy Storchaka (serhiy.storchaka) * (Python committer)

Date: 2013-04-27 17:44

Padding makes it both less efficient and more annoying to handle, IMO.

Agree. But there is other application for NOPs. UTF-8 decoder (and some other decoders) works more fast (up to 4x) when input is aligned. By adding several NOPs before BINUNICODE so that start of encoded data is 4- or 8-bytes aligned relatively to start of frame, we can significan speedup unpickling long ASCII strings. I propose to add new NOP opcode and to use it to align some align-sensitive data.

My framing proof-of-concept ends up quite simple in terms of code complexity. For example, the C version only adds 125 lines of code in 3 additional functions.

I just looked in the code and saw that the unpickler already has a ready infrastructure for prefetching. Now your words have not appear to be so incredible. ;) It should work.

No doublecopying is necessary (not in the C version, that is).

Agree, there is no doublecopying (except for large bytes objects).

msg188087 - (view)

Author: Antoine Pitrou (pitrou) * (Python committer)

Date: 2013-04-29 19:32

Here is a framing patch on top of Alexandre's work.

There is one thing that framing breaks: pickletools.optimize(). I think it would be non-trivial to fix it. Perhaps the PREFETCH opcode is a better idea for this.

Alexandre, I don't understand why you removed STACK_GLOBAL. GLOBAL is a PITA that we should not use in protocol 4 anymore, so we need either STACK_GLOBAL or some kind of BINGLOBAL.

msg188089 - (view)

Author: Serhiy Storchaka (serhiy.storchaka) * (Python committer)

Date: 2013-04-29 19:49

What is wrong with GLOBAL?

msg188090 - (view)

Author: Antoine Pitrou (pitrou) * (Python committer)

Date: 2013-04-29 19:50

What is wrong with GLOBAL?

It uses the lame "text mode" that scans for newlines, and is generally annoying to optimize. This is like C strings vs. Pascal strings. http://www.python.org/dev/peps/pep-3154/#binary-encoding-for-all-opcodes

msg188096 - (view)

Author: Serhiy Storchaka (serhiy.storchaka) * (Python committer)

Date: 2013-04-29 20:39

With framing it isn't annoying.

msg188098 - (view)

Author: Alexandre Vassalotti (alexandre.vassalotti) * (Python committer)

Date: 2013-04-29 20:48

Antoine, I removed STACK_GLOBAL when I found performance issues with the implementation. The changeset that added it had some unrelated changes that made it harder to debug than necessary. I am planning to re-add it when I worked out the kinks.

msg188102 - (view)

Author: Antoine Pitrou (pitrou) * (Python committer)

Date: 2013-04-29 20:54

With framing it isn't annoying.

Slightly less, but you still have to wrap readline() calls in the unpickler.

I have started experimenting with PREFETCH, but making the opcode optional is a bit annoying in the C pickler, which means it's simpler to always emit it, which means it's not very different from framing in the end :-)

msg188109 - (view)

Author: Antoine Pitrou (pitrou) * (Python committer)

Date: 2013-04-29 21:44

And here is an implementation of PREFETCH over Alexandre's work. As you can see the code complexity compared to framing is mostly a wash, but I think fixing pickletools.optimize() will be easier with PREFETCH (still needs confirmation, of course :-)).

msg188227 - (view)

Author: Antoine Pitrou (pitrou) * (Python committer)

Date: 2013-05-01 14:18

Here is an updated framing patch which supports pickletools.optimize().

msg188280 - (view)

Author: Alexandre Vassalotti (alexandre.vassalotti) * (Python committer)

Date: 2013-05-02 21:00

The latest framing patch looks pretty nice overall. One concern is we need to make sure the C implementation call _Pickler_OpcodeBoundary often enough to keep the frames around the sizes. For example, batch_save_list and batch_save_dict can currently create a frame much larger than expected. Interestingly enough, I found pickle, with patch applied, crashes when handling such frames:

13:44:43 pep-3154 $ ./python -c "import pickle, io; pickle.dump(list(range(10**5)), io.BytesIO(), 4)" Debug memory block at address p=0x1e96b10: API 'o' 52 bytes originally requested The 7 pad bytes at p-7 are FORBIDDENBYTE, as expected. The 8 pad bytes at tail=0x1e96b44 are not all FORBIDDENBYTE (0xfb): at tail+0: 0x00 *** OUCH at tail+1: 0x00 *** OUCH at tail+2: 0x00 *** OUCH at tail+3: 0x00 *** OUCH at tail+4: 0x4d *** OUCH at tail+5: 0x75 *** OUCH at tail+6: 0x5b *** OUCH at tail+7: 0xfb The block was made by call #237465 to debug malloc/realloc. Data at p: 00 00 00 00 00 00 00 00 ... ff ff ff ff 00 00 00 00 Fatal Python error: bad trailing pad byte

Current thread 0x00007f5dea491700: File "", line 1 in Aborted (core dumped)

Also, I think we should try to make pickletools.dis display the frame boundaries to help with debugging. This could be implemented by adding an option to pickletools.genops which could be helpful for testing the framing implementation as well.

msg188281 - (view)

Author: Antoine Pitrou (pitrou) * (Python committer)

Date: 2013-05-02 21:16

One concern is we need to make sure the C implementation call _Pickler_OpcodeBoundary often enough to keep the frames around the sizes. For example, batch_save_list and batch_save_dict can currently create a frame much larger than expected.

I don't understand how that can happen. batch_list() and batch_dict() both call save() for each item, and save() calls _Pickler_OpcodeBoundary() at the end. Have I missed something?

Interestingly enough, I found pickle, with patch applied, crashes when handling such frames:

Interesting, I'll take a look when I have some time.

Also, I think we should try to make pickletools.dis display the frame boundaries to help with debugging. This could be implemented by adding an option to pickletools.genops which could be helpful for testing the framing implementation as well.

Agreed.

msg188282 - (view)

Author: Alexandre Vassalotti (alexandre.vassalotti) * (Python committer)

Date: 2013-05-02 21:34

I don't understand how that can happen. batch_list() and batch_dict() both call save() for each item, and save() calls _Pickler_OpcodeBoundary() at the end. Have I missed something?

Ah, you're right. I was thinking in terms of my fast dispatch patch in issue #17787. Sorry for the confusion!

msg188312 - (view)

Author: Alexandre Vassalotti (alexandre.vassalotti) * (Python committer)

Date: 2013-05-03 17:37

I am currently fleshing out an improved implementation for the reduce protocol version 4. One thing I am curious about is whether we should keep the special cases we currently have there for dict and list subclasses.

I recall Raymond expressed disagreement in # about this behavior. I agree that having setitem called before init make it harder for dict and list subclasses to support pickling. To take advantage of the special case, subclasses need to do their required initialization in the new method.

On the other hand, it does decrease the memory requirements for unpickling such subclasses---i.e., we can build the object in-place instead of building an intermediary list or dict. Reading PEP 307 confirms indeed that was the original intention.

One possible solution, other than removing the special case completely, is to make sure we initialize the object (using the BUILD opcode) before we call setitem or append on it. This would be a simple change that would solve the initialization issue. However, I would still feel uneasy about the default object.reduce behavior depending on the object's subtype.

I think it could be worthwhile to investigate a generic API for pickling collections in-place. For example, a such API would helpful for pickling set subclasses in-place.

items() or Return an iterator of the items in the collection. Would be getitems() equivalent to iter(dict.items()) on dicts and iter(list) on lists.

additems(items) Add a batch of items to the collection. By default, it would be defined as:

                     for item in items:
                         self.__additem__(item)

                 However, subclasses would be free to provide a more efficient
                 implementation of the method. Would be equivalent to
                 dict.update on dicts and list.extend on lists.

additem(item) Add a single item to the collection. Would be equivalent to dict[item[0]] = item[1] on dicts and list.append on lists.

The collections module's ABCs could then provide default implementations of this API, which would give its users efficient in-place pickling automatically.

msg188315 - (view)

Author: Antoine Pitrou (pitrou) * (Python committer)

Date: 2013-05-03 17:42

I think it could be worthwhile to investigate a generic API for pickling collections in-place. For example, a such API would helpful for pickling set subclasses in-place.

Is the use case important enough? Otherwise, this is more special_method complication that we'll have to maintain for pickle's only use.

msg188320 - (view)

Author: Alexandre Vassalotti (alexandre.vassalotti) * (Python committer)

Date: 2013-05-03 18:39

Those methods wouldn't be much more a maintenance burden than the special cases already present in the implementation of reduce. These methods would only need to be provided by classes that wishes to support efficient in-place pickling provided by protocol 4. As such, this approach better as it would rely on duck typing rather than concrete type checks, which IMHO do not belong in the default object implementation.

Plus, having this generic API would allow pickle to share the same pickling and unpickling code for lists, dicts, sets and other mutable collections.

msg188327 - (view)

Author: Antoine Pitrou (pitrou) * (Python committer)

Date: 2013-05-03 20:12

Here is an updated framing patch which fixes the issue reported by Alexandre. There are also a couple added tests.

msg188330 - (view)

Author: Alexandre Vassalotti (alexandre.vassalotti) * (Python committer)

Date: 2013-05-03 22:18

The framing patch seems to have a significant negative effect on performance.

Report on Linux avassalotti 3.2.5-gg1130 #1 SMP Mon Feb 4 02:25:47 PST 2013 x86_64 x86_64 Total CPU cores: 12

fastpickle

Min: 0.447194 -> 0.505841: 1.13x slower Avg: 0.455517 -> 0.509537: 1.12x slower Significant (t=-22.05) Stddev: 0.01438 -> 0.00967: 1.4875x smaller

fastunpickle

Min: 0.583922 -> 0.638744: 1.09x slower Avg: 0.589183 -> 0.649506: 1.10x slower Significant (t=-21.77) Stddev: 0.00939 -> 0.01720: 1.8324x larger

Would it be possible to mitigate the regression?

msg188331 - (view)

Author: Antoine Pitrou (pitrou) * (Python committer)

Date: 2013-05-03 22:28

The framing patch seems to have a significant negative effect on performance.

I wouldn't call it significant. Any speedup or slowdown less than 50% is unlikely to be noticeable in real-world applications.

Mitigating the regression is probably a matter of tweaking the read/write fast paths (optimizing for the common case where a frame is ongoing and the buffer is neither full nor empty).

msg188338 - (view)

Author: Alexandre Vassalotti (alexandre.vassalotti) * (Python committer)

Date: 2013-05-04 00:07

Antoine, can you share the code for your benchmarks which show performance improvements when framing is enabled? I am seeing the same 10-15% slowdown even when pickling stuff to pure Python objects:

Without the patch

./python -m timeit -r 50 -s "import pickle, _pyio; f = _pyio.BytesIO(); x = list(range(1000))" "pickle.dump(x, f, protocol=4)" 10000 loops, best of 50: 28.5 usec per loop

With the patch

./python -m timeit -r 50 -s "import pickle, _pyio; f = _pyio.BytesIO(); x = list(range(1000))" "pickle.dump(x, f, protocol=4)" 10000 loops, best of 50: 32.9 usec per loop

msg188351 - (view)

Author: Antoine Pitrou (pitrou) * (Python committer)

Date: 2013-05-04 11:12

Antoine, can you share the code for your benchmarks which show performance improvements when framing is enabled? I am seeing the same 10-15% slowdown even when pickling stuff to pure Python objects:

The performance improvement is when unpickling, not when pickling. Pickling always buffers data, so framing doesn't bring anything on this side of the fence.

msg188363 - (view)

Author: Antoine Pitrou (pitrou) * (Python committer)

Date: 2013-05-04 14:34

Here are some numbers:

Without the patch

$ ./python -m timeit -s "import pickle, io; d=pickle.dumps(list(range(1000)), 4); b=io.BytesIO(d)" "b.seek(0); pickle.load(b)" 10000 loops, best of 3: 180 usec per loop

$ ./python -m timeit -s "import pickle, _pyio as io; d=pickle.dumps(list(range(1000)), 4); b=io.BytesIO(d)" "b.seek(0); pickle.load(b)" 100 loops, best of 3: 4.52 msec per loop

With the patch

$ ./python -m timeit -s "import pickle, io; d=pickle.dumps(list(range(1000)), 4); b=io.BytesIO(d)" "b.seek(0); pickle.load(b)" 10000 loops, best of 3: 42.8 usec per loop

$ ./python -m timeit -s "import pickle, _pyio as io; d=pickle.dumps(list(range(1000)), 4); b=io.BytesIO(d)" "b.seek(0); pickle.load(b)" 10000 loops, best of 3: 47.3 usec per loop

msg188889 - (view)

Author: Stefan Mihaila (mstefanro) *

Date: 2013-05-11 00:09

On 5/10/2013 11:46 PM, Stefan Mihaila wrote:

Changes by Stefan Mihaila <mstefanro@gmail.com>:


nosy: +mstefanro


Python tracker <report@bugs.python.org> <http://bugs.python.org/issue17810>


Hello. I've worked on implementing PEP3154 as part of GSoC2012. My work is available in a repo at [1]. The blog I've used to report my work is at [2] and contains some useful information.

Here is a list of features that were implemented as part of GSoC:

exception.

Although I'm sure Alexandre had his good reasons to start the work from scratch, it would be a shame to waste all this work. The features mentioned above are working and although the implementation may not be ideal (I don't have the cpython experience of a regular dev), I'm sure useful bits can be extracted from it. Alexandre suggested that I extract bits and post patches, so I have attached, for now, support for pickling methods and nested globals (+tests). I'm willing to do so for some or the rest of the features, should this be requested and should I have the necessary time to do so.

[1] https://bitbucket.org/mstefanro/pickle4/ [2] https://pypickle4.wordpress.com/ [3] https://gist.github.com/mstefanro/3086647

msg188971 - (view)

Author: Alexandre Vassalotti (alexandre.vassalotti) * (Python committer)

Date: 2013-05-12 00:51

Thanks Stefan for the patch. It's very much appreciated. I will try to review it soon.

Of the features you proposed, the twos I would like to take a look again is implicit memoization and the BAIL_OUT opcode. For the implicit memoization feature, we will need to have some performance results in hand to justify the major changes it needs. If you can you work out a quick patch, I can run it through the benchmarks suite for pickle and measure the impact. Hopefully, we will see a good improvement though we can't be sure until we measure.

And as for the BAIL_OUT opcode, it would be interesting to revisit its use now that we support binary framing. It could be helpful to add it to prevent the Unpickler from hanging if the other end forgot to close the stream. I am still not totally convinced. However if you make a good case for it, I would support to see it included.

msg188989 - (view)

Author: Alexandre Vassalotti (alexandre.vassalotti) * (Python committer)

Date: 2013-05-12 08:53

Stefan, I took a quick look at your patch. There is a couple things that stands out.

First, I think the implementation of BINGLOBAL and BINGLOBAL_BIG should be moved to another patch. Adding a binary version opcode for GLOBAL is a separate feature and it should be reviewed independently. Personally, I prefer the STACK_GLOBAL opcode I proposed as it much simpler to implement, but I am biased.

Next, the patch's formatting should be fixed to conform to PEP 7 and PEP 8. Make sure the formatting is consistent with the surrounding code. In particular, comments should be full sentences that explains why we need this code. Avoid adding comments that merely say what the code does, unless the code is complex.

In addition, please replace the uses of PyUnicode_InternFromString with the _Py_IDENTIFIER as needed. The latter allow the static strings to be garbage collected when the module is deleted, which is friendlier to embedded interpreters. It is also lead to cleaner code.

Finally, the class method check hack looks like a bug to me. There are multiple solutions here. For example, we could fix class methods to be cached so they always have the same ID once they are created. Or, we could remove the 'is' check completely if it is unnecessary.

msg189017 - (view)

Author: Antoine Pitrou (pitrou) * (Python committer)

Date: 2013-05-12 11:14

Stefan, I took a quick look at your patch. There is a couple things that stands out.

It would be nice if you could reconcile each other's work. Especially so I don't re-implement framing on top of something else :-)

Adding a binary version opcode for GLOBAL is a separate feature and it should be reviewed independently.

Well, it's part of the PEP.

Personally, I prefer the STACK_GLOBAL opcode I proposed as it much simpler to implement, but I am biased.

I agree it sounds simpler. I hadn't thought about it when first writing the PEP.

msg190554 - (view)

Author: Alexandre Vassalotti (alexandre.vassalotti) * (Python committer)

Date: 2013-06-03 18:33

Stefan, could you address my review comments soon? The improved support for globals is the only big piece missing from the implementation of PEP, which I would like to get done and submitted by the end of the month.

msg190583 - (view)

Author: Stefan Mihaila (mstefanro) *

Date: 2013-06-04 03:37

On 6/3/2013 9:33 PM, Alexandre Vassalotti wrote:

Alexandre Vassalotti added the comment:

Stefan, could you address my review comments soon? The improved support for globals is the only big piece missing from the implementation of PEP, which I would like to get done and submitted by the end of the month.



Python tracker <report@bugs.python.org> <http://bugs.python.org/issue17810>


Yes, I apologize for the delay again. Today is my last exam this semester, so I'll do my best to get it done as soon as possible (hopefully this weekend).

msg195499 - (view)

Author: Antoine Pitrou (pitrou) * (Python committer)

Date: 2013-08-17 18:20

Alexandre, Stefan, is any of you working on this? If not, could you please expose what the status of the patch is, whose work is the most advanced (Alexandre's or Stefan's) and what should be the plan to move this forward?

Thanks!

msg195522 - (view)

Author: Alyssa Coghlan (ncoghlan) * (Python committer)

Date: 2013-08-17 21:58

Potentially relevant to this: we hope to have PEP 451 done for 3.4, which adds a spec attribute to module objects, and will also tweak runpy to ensure -m registers main under it's real name as well.

If pickle uses spec.name in preference to name when spec is defined, then objects defined in main modules run via -m should start being pickled correctly.

msg195583 - (view)

Author: Alexandre Vassalotti (alexandre.vassalotti) * (Python committer)

Date: 2013-08-18 22:49

I am still working on it. I am implemented support for nested globals last week (http://hg.python.org/features/pep-3154-alexandre/rev/c8991b32a47e). At this point, the only big piece remaining is the support for method descriptors. There are other minor things left but we can worry about those later.

Nick, thanks for the pointer! I didn't know about PEP 451. I will look how we can use it in pickle.

msg202939 - (view)

Author: Alexandre Vassalotti (alexandre.vassalotti) * (Python committer)

Date: 2013-11-15 11:26

Hi folks,

I consider my implementation of PEP-3154 mostly feature complete at this point. I still have a few things left to do. For example, I need to update the documentation about the new protocol. However, these can mostly be done along the review process. Plus, I definitely prefer getting feedback sooner. :-)

Please review at:

http://bugs.python.org/review/17810/

Thanks!

msg203339 - (view)

Author: Alexandre Vassalotti (alexandre.vassalotti) * (Python committer)

Date: 2013-11-19 07:16

I have been looking again at Stefan's previous proposal of making memoization implicit in the new pickle protocol. While I liked the smaller pickles it produced, I didn't the invasiveness of the implementation, which requires a change for almost every opcode processed by the Unpickler. This led me to, what I think is, a reasonable compromise between what we have right now and Stefan's proposal. That is we can make the argument of the PUT opcodes implicit, without making the whole opcode implicit.

I've implemented this by introducing a new opcode MEMOIZE, which stores the top of the pickle stack using the size of the memo as the index. Using the memo size as the index avoids us some extra bookkeeping variables and handles nicely situations where Pickler.memo.clear() or Unpickler.memo.clear() are used.

Size-wise, this brings some good improvements for pickles containing a lot of dicts and lists.

Before

$ ./python.exe -c "import pickle; print(len(pickle.dumps([[] for _ in range(1000)], 4)))" 5251

After with new MEMOIZE opcode

./python.exe -c "import pickle; print(len(pickle.dumps([[] for _ in range(1000)], 4)))" 2015

Time-wise, the change is mostly neutral. It makes pickling dicts and lists slightly faster because it simplifies the code for memo_put() in _pickle.

Report on Darwin Kernel Version 12.5.0: Sun Sep 29 13:33:47 PDT 2013; root:xnu-2050.48.12~1/RELEASE_X86_64 x86_64 i386 Total CPU cores: 4

pickle4_dict

Min: 0.714912 -> 0.667203: 1.07x faster Avg: 0.741616 -> 0.685567: 1.08x faster Significant (t=16.25) Stddev: 0.02033 -> 0.01346: 1.5102x smaller Timeline: http://goo.gl/iHqCfB

pickle4_list

Min: 0.414151 -> 0.398913: 1.04x faster Avg: 0.432094 -> 0.409058: 1.06x faster Significant (t=11.83) Stddev: 0.01049 -> 0.00893: 1.1749x smaller Timeline: http://goo.gl/wfQzgL

Anyhow, I have committed this improvement in my pep-3154 branch (http://hg.python.org/features/pep-3154-alexandre/rev/8a2861aaef82) for now, though I will happily revert it if people oppose to the change.

msg203420 - (view)

Author: Serhiy Storchaka (serhiy.storchaka) * (Python committer)

Date: 2013-11-19 20:20

I propose to include frame size in previous frame. This will twice decrease the number of file reads.

msg203435 - (view)

Author: Martin v. Löwis (loewis) * (Python committer)

Date: 2013-11-19 22:04

Attached is a patch that takes a different approach to framing, putting it into an optional framing layer by means of a buffered reader/writer.

The framing structure is the same as in PEP 3154; a separate PYFRAMES magic is prepended to guard against protocol inconsistencies and to allow for automatic detection of framing.

msg204066 - (view)

Author: Roundup Robot (python-dev) (Python triager)

Date: 2013-11-23 18:01

New changeset 992ef855b3ed by Antoine Pitrou in branch 'default': Issue #17810: Implement PEP 3154, pickle protocol 4. http://hg.python.org/cpython/rev/992ef855b3ed

msg204067 - (view)

Author: Antoine Pitrou (pitrou) * (Python committer)

Date: 2013-11-23 18:02

I've now committed Alexandre's latest work (including the FRAME and MEMOIZE opcodes).

msg204088 - (view)

Author: Roundup Robot (python-dev) (Python triager)

Date: 2013-11-23 20:01

New changeset d719975f4d25 by Christian Heimes in branch 'default': Issue #17810: Add NULL check to save_frozenset http://hg.python.org/cpython/rev/d719975f4d25

msg204089 - (view)

Author: Roundup Robot (python-dev) (Python triager)

Date: 2013-11-23 20:05

New changeset c54becd69805 by Christian Heimes in branch 'default': Issue #17810: return -1 on error http://hg.python.org/cpython/rev/c54becd69805

msg204093 - (view)

Author: Roundup Robot (python-dev) (Python triager)

Date: 2013-11-23 20:14

New changeset a02adfb3260a by Christian Heimes in branch 'default': Issue #17810: Add two missing error checks to save_global http://hg.python.org/cpython/rev/a02adfb3260a

msg204097 - (view)

Author: Roundup Robot (python-dev) (Python triager)

Date: 2013-11-23 20:19

New changeset 3e16c8c34e69 by Christian Heimes in branch 'default': Issue #17810: Fixed NULL check in _PyObject_GetItemsIter() http://hg.python.org/cpython/rev/3e16c8c34e69

msg204175 - (view)

Author: Alexandre Vassalotti (alexandre.vassalotti) * (Python committer)

Date: 2013-11-24 04:39

I've finalized the framing implementation in de9bda43d552.

There will be more improvements to come until 3.4 final. However, feature-wise we are done. Thank you everyone for the help!

msg204176 - (view)

Author: Tim Peters (tim.peters) * (Python committer)

Date: 2013-11-24 04:42

[Alexandre Vassalotti]

I've finalized the framing implementation in de9bda43d552.

There will be more improvements to come until 3.4 final. However, feature-wise we are done. Thank you everyone for the help!

Woo hoo! Thank YOU for the hard work - I know how much fun this is ;-)

msg204389 - (view)

Author: Serhiy Storchaka (serhiy.storchaka) * (Python committer)

Date: 2013-11-25 20:09

Here is a patch which restores optimization for frame headers. Unfortunately it breaks test_optional_frames.

msg204390 - (view)

Author: Larry Hastings (larry) * (Python committer)

Date: 2013-11-25 20:10

Isn't it a little late to be changing the pickle protocol, now that we've hit feature-freeze? If you want to check something like this in you're going to have to make a good case for it.

msg204391 - (view)

Author: Serhiy Storchaka (serhiy.storchaka) * (Python committer)

Date: 2013-11-25 20:12

This doesn't change the pickle protocol. This is just an implementation detail.

msg204397 - (view)

Author: Alexandre Vassalotti (alexandre.vassalotti) * (Python committer)

Date: 2013-11-25 20:25

Optimizing the output of the pickler class should be fine during the feature freeze as long the semantics of the current opcodes stay unchanged.

msg204399 - (view)

Author: Antoine Pitrou (pitrou) * (Python committer)

Date: 2013-11-25 20:27

Well, Larry may expand, but I think we don't commit performance optimizations during the feature freeze either. ("feature" is taken in the same sense as in "no new features in the bugfix branches")

msg204401 - (view)

Author: Larry Hastings (larry) * (Python committer)

Date: 2013-11-25 20:33

I'll make you a deal. As long as the protocol remains 100% backwards and forwards compatible (3.4.0b1 can read anything written by trunk, and trunk can read anything written by 3.4.0b1), you can make optimizations until beta 2. After that you have to stop... or get permission again.

msg204426 - (view)

Author: Serhiy Storchaka (serhiy.storchaka) * (Python committer)

Date: 2013-11-25 21:56

I have opened separate for this.

History

Date

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2022-04-11 14:57:44

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github: 62010

2013-12-01 22:07:37

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2013-11-30 04:52:45

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2013-11-25 20:10:41

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2013-11-25 20:09:24

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2013-11-24 04:42:18

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nosy: + tim.peters
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2013-11-24 04:39:41

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status: open -> closed

messages: +

2013-11-24 04:36:50

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issue15397 superseder

2013-11-23 20:19:52

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2013-11-23 20:05:52

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2013-11-23 20:01:49

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messages: +

2013-11-23 18:02:34

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resolution: fixed
messages: +
stage: patch review -> resolved

2013-11-23 18:01:45

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nosy: + python-dev
messages: +

2013-11-20 23:30:06

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priority: high -> release blocker
nosy: + larry

2013-11-19 22:04:24

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2013-11-15 11:26:58

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stage: needs patch -> patch review

2013-11-15 11:11:21

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files: - f87b455af573.diff

2013-11-15 11:09:08

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2013-08-17 21:58:59

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2013-05-12 11:14:46

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2013-05-03 00:28:45

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issue9276 dependencies

2013-05-02 22:10:14

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2013-05-02 09:53:56

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dependencies: + Refactor reduce protocol implementation

2013-05-01 14🔞25

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2013-04-29 21:44:39

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