DiskCache is an Apache2 licensed disk and file backed cache library, written in pure-Python, and compatible with Django.
The cloud-based computing of 2016 puts a premium on memory. Gigabytes of empty space is left on disks as processes vie for memory. Among these processes is Memcached (and sometimes Redis) which is used as a cache. Wouldn’t it be nice to leverage empty disk space for caching?
Django is Python’s most popular web framework and ships with several caching backends. Unfortunately the file-based cache in Django is essentially broken. The culling method is random and large caches repeatedly scan a cache directory which slows linearly with growth. Can you really allow it to take sixty milliseconds to store a key in a cache with a thousand items?
In Python, we can do better. And we can do it in pure-Python!
In [1]: import pylibmc
In [2]: client = pylibmc.Client(['127.0.0.1'], binary=True)
In [3]: client[b'key'] = b'value'
In [4]: %timeit client[b'key']
10000 loops, best of 3: 25.4 µs per loop
In [5]: import diskcache as dc
In [6]: cache = dc.Cache('tmp')
In [7]: cache[b'key'] = b'value'
In [8]: %timeit cache[b'key']
100000 loops, best of 3: 11.8 µs per loop
Note: Micro-benchmarks have their place but are not a substitute for real measurements. DiskCache offers cache benchmarks to defend its performance claims. Micro-optimizations are avoided but your mileage may vary.
DiskCache efficiently makes gigabytes of storage space available for caching. By leveraging rock-solid database libraries and memory-mapped files, cache performance can match and exceed industry-standard solutions. There’s no need for a C compiler or running another process. Performance is a feature and testing has 100% coverage with unit tests and hours of stress.
Testimonials
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Features
Pure-Python
Fully Documented
Benchmark comparisons (alternatives, Django cache backends)
100% test coverage
Hours of stress testing
Performance matters
Django compatible API
Thread-safe and process-safe
Supports multiple eviction policies (LRU and LFU included)
Keys support “tag” metadata and eviction
Developed on Python 2.7
Tested on CPython 2.7, 3.4, 3.5, 3.6 and PyPy
Tested on Linux, Mac OS X, and Windows
Tested using Travis CI and AppVeyor CI
Quickstart
Installing DiskCache is simple with pip:
$ pip install diskcache
You can access documentation in the interpreter with Python’s built-in help function:
>>> from diskcache import Cache, FanoutCache, DjangoCache >>> help(Cache) >>> help(FanoutCache) >>> help(DjangoCache)
User Guide
For those wanting more details, this part of the documentation describes introduction, benchmarks, development, and API.
Reference and Indices
DiskCache License
Copyright 2016 Grant Jenks
Licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
1 maintainer
Release files for diskcache 2.7.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| diskcache-2.7.0.tar.gz | 436.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| diskcache-2.7.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 469.2 kB
Release files / diskcache-2.7.0.tar.gz
| Download URL | diskcache-2.7.0.tar.gz |
|---|---|
| Size | 436.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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Release files / diskcache-2.7.0-py2.py3-none-any.whl
| Download URL | diskcache-2.7.0-py2.py3-none-any.whl |
|---|---|
| Size | 32.4 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
