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我正在尝试将一些数据（存储在元组列表中）插入到我的本地数据库中。数据有点不一致 - 有些时间戳是datetime.datetime，有些可能是字符串。但我认为这不是我的问题所在。

首先，我的数据库架构：

+-----------------------------+-------------+------+-----+---------+-------+
| Field                       | Type        | Null | Key | Default | Extra |
+-----------------------------+-------------+------+-----+---------+-------+
| store                       | varchar(11) | NO   |     | NULL    |       |
| order_no                    | int(11)     | NO   |     | NULL    |       |
| product_name                | text        | YES  |     | NULL    |       |
| product_id                  | int(11)     | NO   |     | NULL    |       |
| classification              | int(11)     | NO   |     | NULL    |       |
| order_date                  | datetime    | NO   |     | NULL    |       |
| power_complete_time         | datetime    | YES  |     | NULL    |       |
| stockout_date               | datetime    | YES  |     | NULL    |       |
| wfi_status                  | tinyint(4)  | YES  |     | NULL    |       |
| qc_status                   | varchar(12) | YES  |     | NULL    |       |
| scanned_for_shipment_date   | datetime    | YES  |     | NULL    |       |
| order_delivered_date        | datetime    | YES  |     | NULL    |       |
| status                      | varchar(50) | YES  |     | NULL    |       |
| stock_out_status            | varchar(50) | YES  |     | NULL    |       |
| actual_order_date           | datetime    | NO   |     | NULL    |       |
| order_for_today             | tinyint(1)  | YES  |     | NULL    |       |
| dispatched_within_same_day  | tinyint(1)  | YES  |     | NULL    |       |
| stockout_within_same_day    | tinyint(1)  | YES  |     | NULL    |       |
| order_for_yesterday         | tinyint(1)  | YES  |     | NULL    |       |
| dispatched_within_yesterday | tinyint(1)  | YES  |     | NULL    |       |
| stockout_within_yesterday   | tinyint(1)  | YES  |     | NULL    |       |
| eyeframe_less_than_1_pm     | tinyint(1)  | YES  |     | NULL    |       |

+-----------------------------+-------------+------+-----+---------+-------+

接下来，我的脚本带​​有疯狂的怪异数据。同样，某些日期的数据可能不一致，这就是我使用一堆数据行进行测试的原因：

import MySQLdb
import datetime

if __name__ == '__main__':

    rows = [
        (u'Lenskart', u'1200667194', u'Prescription Card', u'41420', u'shipping_accessories', datetime.datetime(2013, 7, 27, 4, 12, 56), datetime.datetime(2013, 7, 27, 11, 18, 4), datetime.datetime(2013, 7, 27, 11, 45, 32), u'0', None, datetime.datetime(2013, 7, 28, 3, 24, 17), u'0000-00-00 00:00:00', u'complete', None, datetime.datetime(2013, 7, 27, 9, 42, 56), 0, None, None, 0, None, None, 0),
        (u'Lenskart', u'1200667195', u'Rs.1800 Coupon Booklet ( Rs. 500 Coupons)  - FREE', u'39799', u'shipping_accessories', datetime.datetime(2013, 7, 27, 4, 13, 17), datetime.datetime(2013, 7, 27, 10, 10, 2), datetime.datetime(2013, 7, 27, 10, 53, 32), u'1', None, datetime.datetime(2013, 7, 27, 12, 12, 2), u'0000-00-00 00:00:00', u'complete', u'complete', datetime.datetime(2013, 7, 27, 9, 43, 17), 0, None, None, 0, None, None, 0),
        (u'Lenskart', u'1200667196', u'Vincent Chase RG 172 Gunmetal C3 Eyeglasses', u'58131', u'eyeframe', datetime.datetime(2013, 7, 27, 4, 13, 31), datetime.datetime(2013, 7, 27, 10, 10, 2), datetime.datetime(2013, 7, 27, 12, 54, 34), u'1', None, datetime.datetime(2013, 7, 28, 4, 49, 13), u'0000-00-00 00:00:00', u'complete', None, datetime.datetime(2013, 7, 27, 9, 43, 31), 0, None, None, 0, None, None, 0),
        (u'Lenskart', u'1200667193', u'Prescription Card', u'41420', u'shipping_accessories', datetime.datetime(2013, 7, 27, 4, 11, 10), datetime.datetime(2013, 7, 27, 10, 12, 4), datetime.datetime(2013, 7, 27, 11, 37, 47), u'0', None, datetime.datetime(2013, 7, 27, 19, 51, 13), u'2013-07-29 00:00:00', u'delivered', None, datetime.datetime(2013, 7, 27, 9, 41, 10), 0, None, None, 0, None, None, 0),
        (u'Lenskart', u'1200667193', u'Prescription-Lens PC SV Regular', u'45081', u'prescription_lens', datetime.datetime(2013, 7, 27, 4, 11, 10), datetime.datetime(2013, 7, 27, 10, 12, 4), datetime.datetime(2013, 7, 27, 17, 51, 33), u'0', None, datetime.datetime(2013, 7, 27, 19, 51, 13), u'2013-07-29 00:00:00', u'delivered', None, datetime.datetime(2013, 7, 27, 9, 41, 10), 0, None, None, 0, None, None, 0),
        (u'Lenskart', u'1200667190', u'Rs.1800 Coupon Booklet ( Rs. 500 Coupons)  - FREE', u'39799', u'shipping_accessories', datetime.datetime(2013, 7, 27, 4, 10, 33), datetime.datetime(2013, 7, 27, 10, 7, 4), datetime.datetime(2013, 7, 27, 10, 56, 2), u'1', None, datetime.datetime(2013, 7, 27, 14, 33, 21), u'0000-00-00 00:00:00', u'complete', u'complete', datetime.datetime(2013, 7, 27, 9, 40, 33), 0, None, None, 0, None, None, 0),
        (u'Lenskart', u'1200667187', u'Prescription-Lens CR SV Regular', u'45073', u'prescription_lens', datetime.datetime(2013, 7, 27, 4, 8, 48), datetime.datetime(2013, 7, 27, 9, 58, 2), datetime.datetime(2013, 7, 27, 12, 11, 25), u'0', None, datetime.datetime(2013, 7, 27, 17, 0, 1), u'2013-07-30 00:00:00', u'delivered', None, datetime.datetime(2013, 7, 27, 9, 38, 48), 0, None, None, 0, None, None, 0),
        (u'Lenskart', u'1200667183', u'Rs.1800 Coupon Booklet ( Rs. 500 Coupons)  - FREE', u'39799', u'shipping_accessories', datetime.datetime(2013, 7, 27, 4, 3, 46), datetime.datetime(2013, 7, 27, 11, 44, 3), datetime.datetime(2013, 7, 27, 12, 26, 48), u'1', None, datetime.datetime(2013, 7, 27, 17, 46, 17), u'2013-07-30 00:00:00', u'delivered', None, datetime.datetime(2013, 7, 27, 9, 33, 46), 0, None, None, 0, None, None, 0),
        (u'Lenskart', u'1200667183', u'Prescription-Lens CR SV Regular', u'45073', u'prescription_lens', datetime.datetime(2013, 7, 27, 4, 3, 46), datetime.datetime(2013, 7, 27, 11, 44, 3), datetime.datetime(2013, 7, 27, 13, 50, 35), u'0', None, datetime.datetime(2013, 7, 27, 17, 46, 17), u'2013-07-30 00:00:00', u'delivered', None, datetime.datetime(2013, 7, 27, 9, 33, 46), 0, None, None, 0, None, None, 0),
        (u'Lenskart', u'1200667175', u'Bausch & Lomb Soflens 59 (6 Lenses/box)_S:-4.75 / C:0.00 / A:0 / BC:8.60 / AP:0.00 / CL:', u'90000443', u'contact_lens', datetime.datetime(2013, 7, 27, 3, 58, 6), datetime.datetime(2013, 7, 27, 9, 38, 2), datetime.datetime(2013, 7, 27, 10, 10, 22), u'0', None, datetime.datetime(2013, 7, 27, 12, 32, 17), u'2013-07-29 00:00:00', u'delivered', u'complete', datetime.datetime(2013, 7, 27, 9, 28, 6), 0, None, None, 0, None, None, 0),
        (u'Lenskart', u'1200667171', u'Rs.1800 Coupon Booklet ( Rs. 500 Coupons)  - FREE', u'39799', u'shipping_accessories', datetime.datetime(2013, 7, 27, 3, 55, 56), datetime.datetime(2013, 7, 27, 9, 37, 3), datetime.datetime(2013, 7, 27, 9, 51, 47), u'1', None, datetime.datetime(2013, 7, 27, 12, 59, 50), u'0000-00-00 00:00:00', u'complete', u'complete', datetime.datetime(2013, 7, 27, 9, 25, 56), 0, None, None, 0, None, None, 0),
        (u'Lenskart', u'1200667165', u'Rs.1800 Coupon Booklet ( Rs. 500 Coupons)  - FREE', u'39799', u'shipping_accessories', datetime.datetime(2013, 7, 27, 9, 20), datetime.datetime(2013, 7, 27, 9, 30, 4), datetime.datetime(2013, 7, 27, 10, 24, 35), u'1', None, datetime.datetime(2013, 7, 27, 16, 15, 14), u'2013-07-29 00:00:00', u'delivered', u'complete', datetime.datetime(2013, 7, 27, 14, 50), 0, None, None, 0, None, None, 0),
        (u'Bagskart', u'1200667151', u'Feelgood Backpack FG011-A Navy Blue', u'35607', u'Backpacks', datetime.datetime(2013, 7, 27, 2, 14, 52), u'', datetime.datetime(2013, 7, 27, 12, 50, 15), u'1', None, datetime.datetime(2013, 7, 27, 15, 16, 32), u'2013-07-29 00:00:00', u'delivered', u'complete', datetime.datetime(2013, 7, 27, 7, 44, 52), 0, None, None, 0, None, None, 0),
        (u'Lenskart', u'1200667148', u'Rs.1800 Coupon Booklet ( Rs. 500 Coupons)  - FREE', u'39799', u'shipping_accessories', datetime.datetime(2013, 7, 27, 2, 8, 40), datetime.datetime(2013, 7, 27, 7, 41, 3), datetime.datetime(2013, 7, 27, 7, 50, 37), u'1', None, datetime.datetime(2013, 7, 27, 12, 9, 49), u'2013-07-29 00:00:00', u'complete', u'complete', datetime.datetime(2013, 7, 27, 7, 38, 40), 0, None, None, 0, None, None, 0)
        ]
    db = MySQLdb.connect(host="localhost",
                         user="root",
                          passwd="",
                          db="inventory")

    cur = db.cursor()

    sql = """INSERT INTO daily_dispatch VALUES (%s, %s, %s, %s, %s, %s, %s,
                                                %s, %s, %s, %s, %s, %s, %s,
                                                %s, %s, %s, %s, %s, %s, %s,
                                                %s)
                                                """
    row = rows[0]

    cur.execute(sql % (row[0], row[1], row[2], row[3], row[4], row[5],
                       row[6], row[7], row[8], row[9], row[10], row[11],
                       row[12], row[13], row[14], row[15], row[16], row[17],
                       row[18], row[19], row[20], row[21]))
    db.commit()

    db.close()

我得到的错误：

Traceback (most recent call last):
  File "C:\Users\Karan\Desktop\Dropbox\Valyoo\Task 3\daily_dispatch phpmyadmin\local\insert.py", line 50, in <module>
    row[18], row[19], row[20], row[21]))
  File "C:\Python27\lib\site-packages\MySQLdb\cursors.py", line 202, in execute
    self.errorhandler(self, exc, value)
  File "C:\Python27\lib\site-packages\MySQLdb\connections.py", line 36, in defaulterrorhandler
    raise errorclass, errorvalue
ProgrammingError: (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near 'Card, 41420, shipping_accessories, 2013-07-27 04:12:56, 2013-07-27 11:18:04,\n   ' at line 1")

  1. 我不知道出了什么问题。有人帮我调试这个吗？

  2. 是否有更好的（视觉和性能方面）插入元组而不是使用索引的方法？

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2 回答 2

2

您正在插入数据，将其留给数据库适配器，它将根据需要处理转义各种值。也无需展开整个行值列表：

cur.execute(sql, row)

您实际上不必输入所有这些%s占位符；让 Python 为您生成它们：

sql = "INSERT INTO daily_dispatch VALUES ({})".format(', '.join(['%s' for _ in range(len(row[0]))]))

由于您有不止一行，让数据库循环遍历它们并依次为每一行执行相同的查询：

cur.executemany(sql, rows)

无需自己循环。

于 2013-07-30T11:33:56.800 回答
1

您需要正确引用参数。但是，您不必手动执行此操作。相反，将参数作为第二个参数传递给cursor.executeMySQLdb 将为您引用它们：

要仅插入第一行：

sql = """INSERT INTO daily_dispatch VALUES ({})""".format(
         ', '.join(['%s']*22))
cur.execute(sql, row[0])

而不是cur.execute(sql % row[0]). 它看起来像一个微妙的变化，但它使世界变得不同。

要插入所有行，请使用：

cur.executemany(sql, rows)
于 2013-07-30T11:34:32.243 回答