I have a large object that I want to save to the disk because it takes a minute to generate. The OOM reaper kills the process while pickle.dump ing the object.

It’s a tuple of dicts of tuple of array.array.

Can pickle dump in chunks? If not, is there another technique I can use?

1 point

A colleague of mine replaced the internal store format of pickle with Json iirc. It was like 10x faster. Not exactly sure how you do that, but I can check if you want to go that way.

permalink
report
reply
1 point

If you’re pickling that much data you should definitely consider using a more appropriate data format. Maybe a database or HDF5?

permalink
report
reply
1 point

Agreed. When I started, things were much simpler. Trying not to revise too much code but I can if there’s no other option.

permalink
report
parent
reply
3 points

You mean numpy arrays? I think the most efficient way to store them is via np.save. You could try creating a new directory and store all of your arrays there with clever file naming to retrieve the dictionary structure later.

Alternatively if you are up to trying to use pytorch you can convert the arrays to tensors and use torch.save to save the entire dictionary in one file. Installing pytorch just for this might be a bit overkill as it is a >1GB installation tho.

permalink
report
reply
1 point

It’s a tuple of dicts of tuples of array.array, no numpy or torch :(

permalink
report
parent
reply
1 point
*

So python standard library lists?

permalink
report
parent
reply

Python

!python@lemmy.ml

Create post

News and discussions about the programming language Python


Community stats

  • 6

    Monthly active users

  • 100

    Posts

  • 94

    Comments

Community moderators