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下面是我正在使用的数据的一小部分。我可以随意格式化数据。变量“dc”中的数据由值“id1”和“id2”组成。我想要做的是能够为我在“dc”中的所有值发出一个 SELECT 语句。出于某种原因，无论我在“cursor.execute”语句或“format_strings”变量中尝试什么，我似乎都无法获得能够将两个变量传递给 MySQL 的正确代码。

关于如何格式化数据（'dc'）或代码以执行一个 SELECT 语句的评论/建议将非常有帮助。

results = ()

dc = ['103,4770634', '42,427752', '64,10122045', '42,13603629', '42,25516425', '103,2748102', '42,1966402', '42,30262834', '42,6667711', '18,13737683', '42,28921168', '42,26076925', '103,3733654', '42,23313527', '64,3307344', '103,3973533', '42,6360982', '48,11846077', '103,3775309', '64,10122050', '42,1965119', '103,4265810', '103,3971645', '103,4962583', '103,689615', '42,22834366', '103,761655', '95,1184', '64,9594482', '42,22855603', '48,8654764', '103,4226756', '42,23366982', '103,3897036', '42,11339650', '101,6369', '42,25830920', '103,5009291', '42,29238961', '59,6299475', '42,22931663', '42,25839056', '43,11864458', '43,41346192', '103,4261645', '42,3747082', '103,4795050', '42,9417503', '103,4245623', '42,61431911']

try:
    format_strings = ','.join(['%s%s'] * len(dc))
    cursor.execute("SELECT * FROM tbl1 WHERE id1=(%s) AND id2=(%s)" % format_strings, (dc))
    res = cursor.fetchall()
    results = results + res
except Exception, e:
    print e

更新

采用下面@lecumia 和@beroe 发布的内容，我想出了以下内容，虽然没有那么优雅，也可能不是超级高效，但它确实有效。

results = ()
id1 = []
id2 = []

dc = ['103,4770634', '42,427752', '64,10122045', '42,13603629', '42,25516425']
for d in dc:
    id1.append(d.split(',')[0])
    id2.append(d.split(',')[1])

try:
    sql = "SELECT * FROM DomainEmails WHERE email_id IN (%s) AND domain_id IN (%s)"
    in_id1 = "'" + "', '".join(id1) + "'"
    in_id2 = "'" + "', '".join(id2) + "'"
    sql = sql % (in_id1, in_id2)
    cursor.execute(sql)
    res = cursor.fetchall()
    results = results + res
except Exception, e:
    print e

实际查询

SELECT * FROM tbl1 WHERE id1 IN ('103', '42', '64', '42', '42') AND id2 IN ('4770634', '427752', '10122045', '13603629', '25516425')

查询结果

这些符合我的预期：

{'id1': 42L, 'id2': 427752L, 'firstseen': datetime.date(2010, 5, 6)}
{'id1': 42L, 'id2': 427752L, 'firstseen': datetime.date(2011, 5, 2)}
{'id1': 42L, 'id2': 13603629L, 'firstseen': datetime.date(2011, 3, 21)}
{'id1': 42L, 'id2': 13603629L, 'firstseen': datetime.date(2011, 4, 17)}
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1 回答 1

1

基于

使用 MySQLdb 执行“SELECT ... WHERE ... IN ...”

results = ()

dc = ['103,4770634', '42,427752', '64,10122045', '42,13603629', '42,25516425', '103,2748102', '42,1966402', '42,30262834', '42,6667711', '18,13737683', '42,28921168', '42,26076925', '103,3733654', '42,23313527', '64,3307344', '103,3973533', '42,6360982', '48,11846077', '103,3775309', '64,10122050', '42,1965119', '103,4265810', '103,3971645', '103,4962583', '103,689615', '42,22834366', '103,761655', '95,1184', '64,9594482', '42,22855603', '48,8654764', '103,4226756', '42,23366982', '103,3897036', '42,11339650', '101,6369', '42,25830920', '103,5009291', '42,29238961', '59,6299475', '42,22931663', '42,25839056', '43,11864458', '43,41346192', '103,4261645', '42,3747082', '103,4795050', '42,9417503', '103,4245623', '42,61431911']

try:
    sql = "SELECT * FROM tbl1 WHERE id1 in (%s) AND id2 in (%s)"
    in_ids = ', '.join(map(lambda x: '%s', dc))
    in_ids = in_ids % tuple(dc)
    sql = sql % (in_ids, in_ids)
    cursor.execute(sql)
    res = cursor.fetchall()
    results = results + res
except Exception, e:
    print e

结果

SELECT * FROM tbl1 WHERE id1 in (103,4770634, 42,427752, 64,10122045, 42,13603629, 42,25516425, 103,2748102, 42,1966402, 42,30262834, 42,6667711, 18,13737683, 42,28921168, 42,26076925, 103,3733654, 42,23313527, 64,3307344, 103,3973533, 42,6360982, 48,11846077, 103,3775309, 64,10122050, 42,1965119, 103,4265810, 103,3971645, 103,4962583, 103,689615, 42,22834366, 103,761655, 95,1184, 64,9594482, 42,22855603, 48,8654764, 103,4226756, 42,23366982, 103,3897036, 42,11339650, 101,6369, 42,25830920, 103,5009291, 42,29238961, 59,6299475, 42,22931663, 42,25839056, 43,11864458, 43,41346192, 103,4261645, 42,3747082, 103,4795050, 42,9417503, 103,4245623, 42,61431911) AND id2 in (103,4770634, 42,427752, 64,10122045, 42,13603629, 42,25516425, 103,2748102, 42,1966402, 42,30262834, 42,6667711, 18,13737683, 42,28921168, 42,26076925, 103,3733654, 42,23313527, 64,3307344, 103,3973533, 42,6360982, 48,11846077, 103,3775309, 64,10122050, 42,1965119, 103,4265810, 103,3971645, 103,4962583, 103,689615, 42,22834366, 103,761655, 95,1184, 64,9594482, 42,22855603, 48,8654764, 103,4226756, 42,23366982, 103,3897036, 42,11339650, 101,6369, 42,25830920, 103,5009291, 42,29238961, 59,6299475, 42,22931663, 42,25839056, 43,11864458, 43,41346192, 103,4261645, 42,3747082, 103,4795050, 42,9417503, 103,4245623, 42,61431911)
于 2013-10-29T01:16:22.283 回答