使用python讀取csv文件快速插入數據庫的實例

如下所示：

# -*- coding:utf-8 -*-
# auth:ckf
# date:20170703
import pandas as pd
import cStringIO
import warnings
from sqlalchemy import create_engine
import sys

reload(sys)
sys.setdefaultencoding('utf8')
warnings.filterwarnings('ignore')

engine = create_engine(
 'postgresql+psycopg2://'數據庫連接)

filename = sys.argv[1]
tablename = sys.argv[2]
print '=== csvname is',filename ,'tablename is',tablename,'==='

print 'read', filename, '...'
df = pd.read_csv(filename, sep=';')
print 'read', filename, 'done!'

print 'lets insert ...'
output = cStringIO.StringIO()
# ignore the index
df.to_csv(output, sep='\t',index = False, header = False)
output.getvalue()
# jump to start of stream
output.seek(0)

connection = engine.raw_connection()
cursor = connection.cursor()
# null value become ''
cursor.copy_from(output,tablename,null='')
connection.commit()
cursor.close()
print 'done!'

這個腳本可以直接運行，將csv文件放在同級目錄即可。

csv第一列需要有列名，如果csv里沒有列名，需要在代碼中添加列名。

代碼運行示例：python insert.py csvname tablename