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Jump Consistent Hash

Build Status

Python and C implementation of the jump consistent hash algorithm by John Lamping and Eric Veach[1]. Tested on Python 3.10+.

Install

To install Jump Consistent Hash, simply run this simple command in your terminal of choice:

$ pip install jump-consistent-hash

The C implementation is optional but is about 10x faster than the pure Python implementation in CPython.

Usage

>>> import jump
>>> jump.hash(256, 1024)
520

If you want to use a str as a key instead of an int, you can pass it through a hash function to compute a real key. Here’s a couple of examples using Python 3:

>>> import hashlib
>>> int(hashlib.md5(b"127.0.0.1").hexdigest(), 16)
325870950296970981340734819828239218902

>>> int(hashlib.sha1(b"127.0.0.1").hexdigest(), 16)
431133456357828263809343936597625557575256328153

>>> import binascii
>>> binascii.crc32(b"127.0.0.1") & 0xffffffff
3619153832

Do not reach for the built-in hash() here. Python salts the hashes of str objects with a seed chosen per process, so the same key lands in a different bucket after every restart and in every worker of a pool, which is the opposite of what consistent hashing is for. The functions above are stable across processes and machines.

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This release

3.6.0 This release

65 files

3.5.2

57 files

3.5.1

70 files

3.5.0

61 files

3.4.0

55 files

3.2.0

57 files

3.1.2

34 files

3.1.1

29 files

3.0.2

24 files

3.0.1

3 files

3.0.0

5 files

2.0.3

4 files

2.0.2

3 files

2.0.1

4 files

2.0.0

3 files

1.1.1

2 files

1.1.0

2 files

1.0.4

2 files

1.0.3

2 files

1.0.0

2 files

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