如何在 python 中使用单个 MySQL 查询更新多行？

Question

#!/usr/bin/python

# -*- coding: utf-8 -*-
import MySQLdb as mdb

con = mdb.connect('localhost', 'root', 'root', 'kuis')

with con:

    cur = con.cursor()
    cur.execute("UPDATE Writers SET Name = %s WHERE Id = %s ",
        ("new_value" , "3"))
    print "Number of rows updated:",  cur.rowcount

使用上面的代码，数据库 kuis 中表 Writers 的第三行值被更新为 new_value，输出将是 Number od rows updated: 1
我应该如何同时更新多行？

Answer 1

我必须写一个简单的供我使用。

sql='''INSERT INTO <Tabel Name> (column 1, column 2, ... , column N)
 VALUES (%s, %s, ..., %s) 
ON DUPLICATE KEY UPDATE column1=VALUES(column 1), column3=VALUES(column N)''' 

mycursor.executemany(sql, 数据)

data = ['第 1 列的值', '第 2 列的值', ... ,'第 N 列的值']

Answer 2

我不认为 mysqldb 可以同时处理多个 UPDATE 查询。

但是您可以在末尾使用带有 ON DUPLICATE KEY UPDATE 条件的 INSERT 查询。

为了易于使用和可读性，我编写了以下示例。

import MySQLdb

def update_many(data_list=None, mysql_table=None):
    """
    Updates a mysql table with the data provided. If the key is not unique, the
    data will be inserted into the table.

    The dictionaries must have all the same keys due to how the query is built.

    Param:
        data_list (List):
            A list of dictionaries where the keys are the mysql table
            column names, and the values are the update values
        mysql_table (String):
            The mysql table to be updated.
    """

    # Connection and Cursor
    conn = MySQLdb.connect('localhost', 'jeff', 'atwood', 'stackoverflow')
    cur = conn.cursor()

    query = ""
    values = []

    for data_dict in data_list:

        if not query:
            columns = ', '.join('`{0}`'.format(k) for k in data_dict)
            duplicates = ', '.join('{0}=VALUES({0})'.format(k) for k in data_dict)
            place_holders = ', '.join('%s'.format(k) for k in data_dict)
            query = "INSERT INTO {0} ({1}) VALUES ({2})".format(mysql_table, columns, place_holders)
            query = "{0} ON DUPLICATE KEY UPDATE {1}".format(query, duplicates)

        v = data_dict.values()
        values.append(v)

    try:
        cur.executemany(query, values)
    except MySQLdb.Error, e:
        try:
            print"MySQL Error [%d]: %s" % (e.args[0], e.args[1])
        except IndexError:
            print "MySQL Error: %s" % str(e)

        conn.rollback()
        return False

    conn.commit()
    cur.close()
    conn.close()

一个衬垫的解释

columns = ', '.join('`{}`'.format(k) for k in data_dict)

与

相同

column_list = []
for k in data_dict:
    column_list.append(k)
columns = ", ".join(columns)

这是一个使用示例

test_data_list = []
test_data_list.append( {'id' : 1, 'name' : 'Tech', 'articles' : 1 } )
test_data_list.append( {'id' : 2, 'name' : 'Jhola', 'articles' : 8 } )
test_data_list.append( {'id' : 3, 'name' : 'Wes', 'articles' : 0 } )

update_many(data_list=test_data_list, mysql_table='writers')

查询输出

INSERT INTO writers (`articles`, `id`, `name`) VALUES (%s, %s, %s) ON DUPLICATE KEY UPDATE articles=VALUES(articles), id=VALUES(id), name=VALUES(name)

值输出

[[1, 1, 'Tech'], [8, 2, 'Jhola'], [0, 3, 'Wes']]

Answer 3

您可能正在寻找cursor.executemany。

cur.executemany("UPDATE Writers SET Name = %s WHERE Id = %s ",
        [("new_value" , "3"),("new_value" , "6")])