如何使用pyarrow将Pandas数据帧设置/获取到Redis

Question

使用

dd = {'ID': ['H576','H577','H578','H600', 'H700'],
      'CD': ['AAAAAAA', 'BBBBB', 'CCCCCC','DDDDDD', 'EEEEEEE']}
df = pd.DataFrame(dd)

在Pandas 0.25之前，此方法适用。

set:  redisConn.set("key", df.to_msgpack(compress='zlib'))
get:  pd.read_msgpack(redisConn.get("key"))

现在，已弃用警告。

FutureWarning: to_msgpack is deprecated and will be removed in a future version.
It is recommended to use pyarrow for on-the-wire transmission of pandas objects.

The read_msgpack is deprecated and will be removed in a future version.
It is recommended to use pyarrow for on-the-wire transmission of pandas objects.

骨髓如何运作？而且，我如何使pyarrow对象进出Redis。

Answer 1

这是一个使用pyarrow序列化熊猫数据帧以存储在Redis中的完整示例

apt-get install python3 python3-pip redis-server
pip3 install pandas pyarrow redis

然后在python中

import pandas as pd
import pyarrow as pa
import redis

df=pd.DataFrame({'A':[1,2,3]})
r = redis.Redis(host='localhost', port=6379, db=0)

context = pa.default_serialization_context()
r.set("key", context.serialize(df).to_buffer().to_pybytes())
context.deserialize(r.get("key"))
   A
0  1
1  2
2  3

我刚刚向熊猫提交了PR 28494，以便在文档中包含这个pyarrow示例。