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lower memory alternative to string-to-string dict

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strstrdict

Low memory overhead alternative to Python's dict, with string keys and values.

Uses half of the memory of dict for strings of length 40, at the cost of being half as fast. More improvement at shorter strings, less at longer ones. See more at benchmarks.

📝 Documentation

Drop-in replacement for dict with the following limitations:

  • Only supports string keys and values.
  • Iterating order is unspecified.
  • Any modification invalidates iterators.
>>> from strstrdict import StrStrDict

>>> d = StrStrDict()
>>> d['foo'] = 'bar'
>>> d['foo']
'bar'

To KISS, this project only supports a string to string dictionary.

More:

🐍 Installation

pip install strstrdict

📈 Benchmarks

Filling a dictionary with 1m items, key and value strings 5-10 chars long, from a pool of 2m random strings. Then reading values 1m times, with a 50% hit rate.

Fill time (s) Read time (s) Memory (MB)
dict 0.19s 0.17s 159.60
sqlitedict[^wrapper] 10.31s 51.79s 69.41
strstrdict 0.41s 0.44s 64.44

Filling a dictionary with 1m items, key and value strings 20-30 chars long, from a pool of 2m random strings. Then reading values 1m times, with a 50% hit rate.

Fill time (s) Read time (s) Memory (MB)
dict 0.26s 0.21s 193.23
sqlitedict[^wrapper] 9.17s 41.09s 139.40
strstrdict 0.41s 0.42s 95.38

Filling a dictionary with 1m items, key and value strings 100-200 chars long, from a pool of 2m random strings. Then reading values 1m times, with a 50% hit rate.

Fill time (s) Read time (s) Memory (MB)
dict 0.38s 0.24s 447.02
sqlitedict[^wrapper] 11.31s 42.62s 572.88
strstrdict 0.76s 0.56s 344.73

[^wrapper]: SqliteDict is used with commiting every 1000 writes. Note that SqliteDict is not intended for in-memory storage, but still has great efficiency at short strings.

🙏 Thanks & Credits

parallel-hashmap for their amazing header-only library!

pysimdjson for a reference how to write a cython lib!

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