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tair-py is a Python client of Tair based on redis-py. The following modules of Tair are supported.
- TairString, is a string that contains a version number. (Open sourced)
- TairHash, is a hash that allows you to specify the expiration time and version number of a field. (Open sourced)
- TairZset, allows you to sort data of the double type based on multiple dimensions. (Open sourced)
- TairBloom, is a Bloom filter that supports dynamic scaling.
- TairRoaring, is a more efficient and balanced type of compressed bitmaps recognized by the industry.
- TairSearch, is a full-text search module developed in-house based on Redis modules.
- TairDoc, to perform create, read, update, and delete (CRUD) operations on JSON data.
- TairGis, allowing you to query points, linestrings, and polygons. (Open Sourced)
- TairTs, is a time series data structure that is developed on top of Redis modules.
- TairCpc, is a data structure developed based on the compressed probability counting (CPC) sketch.
- TairVector, is a vector search data structure, offering simplicity, flexibility, real-time performance, and high efficiency.
Install from pip:
pip install tairInstall from source:
git clone https://github.com/alibaba/tair-py.git
cd tair-py
python setup.py installtair-py supports Python 3.7+.
#!/usr/bin/env python
from tair import Tair
if __name__ == "__main__":
try:
t = Tair(host="localhost", port=6379, db=0)
t.exset("foo", "bar")
# exget return a ExgetResult object.
ret = t.exget("foo")
print(ret.value) # output b'bar'.
print(ret.version) # output 1
except Exception as e:
print(e)
exit(1)For more examples, please see examples.
Feel free to dive in! Open an issue or submit a Pull Request.