方法一: 你也可以:select * from t1 where unix_timestamp(time1) > unix_timestamp('2011-03-03 17:39:05') and unix_timestamp(time1) < unix_timestamp('2011-03-03 17:39:52');就是用unix_timestamp函数,将字符型的时间,转成unix时间戳.个人觉得这样比较更踏实点儿. 方法二: time1 between '2011-03-03 17:3
mysql语句中把string类型字段转datetime类型 在mysql里面利用str_to_date()把字符串转换为日期 此处以表h_hotelcontext的Start_time和End_time字段为例,查询当前 时间在此范围之内的数据. www.2cto.com select * from h_hotelcontext where now() between STR_TO_DATE (Start_time,'%Y-%m-%d %H:%i:%s') and STR_T
Python 查询Mysql,如果是datetime类型,在json序列化的时候会出现问题. 在网上查了一下,解决方案基本都是遍历dict数据,如果是datetime则转化为字符串. from datetime import date, datetime def json_serial(obj): """JSON serializer for objects not serializable by default json code""" if
com.mysql.jdbc.MysqlDataTruncation: Data truncation: Incorrect datetime value: '\xAC\xED\x00\x05sr\x00\x16org.joda.time.DateTime\xB8<xdj[\xDD\xF9\x02\x00\x00xr\x00\x1Forg.joda.time.base.BaseDateTime\xFF\xFF\x' for column 'opTime' at row 1 有人说是mysqlco
1.关联修改 #解决思路 UPDATE tb1,tb2 SET tb1.address=tb2.address WHERE tb1.name=tb2.name UPDATE car c,tmpcolorcode t SET c.color_code=t.color_code WHERE c.reg_no=t.reg_no; 2.long与datetime类型相互转换 #时间datetime转换为long格式 #时间long转换为datetime格式 ); # :: 3.在实际的处理过程中,需要除
我是在mysql5.7版本进行比较 表a的字段order_no和表iwebshop_tmp的字段order_no一样 需要更新iwebshop_member_order表的datetime类型expiration_time,和表b的varchar类型deadline值一样; update iwebshop_member_order as a join iwebshop_tmp as b on a.order_no = b.order_no set a.expiration_time = b.de