python zlib压缩存储到mysql列

数据太大压缩存储，可以使用zlib中的压缩函数，代码如下：

 1 import ujson
 2 import MySQLdb
 3 import zlib
 4 import base64
 5 
 6 kwargs = {
 7     'host': '0.0.0.0',
 8     'port': 3307,
 9     'db': 'test',
10     'user': 'test_user',
11     'passwd': 'xxxxxxxxxxxx'
12 }
13 
14 def trans_data():
15     """
16     将json数据dumps存储到mysql中
17     其中一列数据较大
18     从业务角度压缩数据，存储压缩后的数据，解压数据
19     :return:
20     """
21     conn = MySQLdb.connect(**kwargs)
22     cur = conn.cursor()
23     rows = [200,"success",{"success":[[1229,16,0],[232,6,0],[12690,78,0],[9208,28,0],[13729,89,0],[11247,66,0],[10253,529,0],[11421,424,20],[4725,292,02],[467,242,0],[2213,14,0],[52,6,0],[68,9,0],[69,13,0],[69,9,0],[895,83,0],[818,95,0],[590,65,0],[78,13,0],[0,0,0],[3,1,0]]}]
24     compressed_rows = zlib.compress(ujson.dumps(rows))
25     # to be able to transmit the data we need to encode it
26     final_data = base64.b64encode(compressed_rows)
27     sql_w = '''INSERT INTO test_table (result) VALUES ('{}');'''.format(final_data)
28     cur.execute(sql_w)
29     conn.commit()
30 
31     sql_r = """SELECT * FROM test_table WHERE id>13"""
32     cur.execute(sql_r)
33     d = cur.fetchall()
34     for _d in d:
35         _dd = base64.b64decode(_d[1])
36         zlib.decompress(_dd)
37 
38     conn.close()