oracle 中的trunc()函数及加一个月,一天,一小时,一分钟,一秒钟方法

返回处理后的数据,不同于round()(对数值进行四舍五入处理),该函数不对指定小数前或后的数值部分进行舍入处理。

语法:trunc(number[,decimals])

其中,number为待做处理的数值,decimals为需要保留小数点后面的位数,即精度,默认值为0,此时将截去所有的小数部分。

数值处理:

select trunc(123.45) as a,trunc(123.456,2) as b, trunc(123.45,-1) as c from dual ;

aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAAh4AAAB6CAIAAAB/W814AAANVUlEQVR4nO2dva7jNhpA2c4b7GOmSR21A0w7/e2DVKmDuaWqLLbZIlhX26QUfB9AKWTr0vwn9VGiqHNAXHhkiRQ/ijwiZXvU12/f5yb5+u37fxrg4+Pj67fvX799//j4aOFMJgCA5lEtq+XfDaCrpYUzOfqCAQCI07RaSCQSiXTG1K5aAADgpKAWAAAQBrUAAIAwL2r59bffSSQSiUTamEy1HKE3AADoCtQCHaKUUkodfRYA1+XqalFq6L7E/Tm8jolqOfw8D+EstT7LeYKTTWpRw7Ak6bPaCf3aNQYipR4psMWfrXmIldVZI5bCIVG1/ulQi7OsGm3R8pzpqGs+7dxCZ3sI9Ya4rItEPRE/jXoIzFrK4p5yVFVpGX3M6FHGa9+7rmxfullK6TvTX1Ttt+x+GCirkl0KD+yudZLPzX1srz1lzr9IUIvYUbt1s9nfkQIDmSvPlx0urpZ5r6i6tqAWV+aHXvMJp+fc2GdPma+slnUyqIfYnh7aDeDcR9+YMs10HpLyIlr6Y6O/m/k2Ruf4djfzrQxEO4wz7PGgxWbNXUbVtcUbh33aomwFo8vWcR0y6Cl2PhV7SqCBjHzsF3bpiUUbpdsv9H2Mo8LZzoea2CCiFnNvLYi+3ex9Uo5yn5yrt+SW5Sx9TuhmvnaMbk/rsRGt+l6EjnqWEbWL8c+zR9W1mOMeNQoGr6ptEShu/efZWyed1lonty3sv4mlp7yInm1rRBbEUu4IfLdL4cYuU4tvh/Te9XlssJtFVwB8b/mnKaHSHVklzBddJxC/We4vqolq8Y+P8m0hqBbfDmdpnXS2zFrKWieac+CfsxVwQbXMrr7clVoeO+VIItAA0Y3FOct2s3Anibav81Zu46zFfstVbuG9WLT0xqOaopbw+kyo3JptESguWuhZWicdkVmL/ZYrz9bV0vmsxTdHUa/LjuF9fFvWjZHzs8py7mCfiTFtch/7vGqVf+3e3qgd7jnn4FF6udGKO0MdOkojUFB/UbWyVfP8i32468AqbeG65YwXpBc3d9U6CUE+qKfkZuvcbX1t/I2WrisksMUgmHPqZVYbvjK5d0vsWeJR19nh17etFs9u/beFzVmu+XYidiLaCdrV1dIx7VxkR/BLU6sHV26LK9f9yqAW6JDougEAVAW1AACAMKgFAACEQS0AACAMagEAAGFQCwAACINaAABAGNQCAADCoBYAABAGtQAAgDCoBQAAhEEtAAAgDGoBAABhUAsAAAiDWgAAQBjUAgAAwqAWAAAQBrUAAIAwqAUAAIRBLQAAIAxqAQAAYVALAAAIg1oAAEAY1AIAAMKYaiGRSCQSaWN6UcsbAADAZl7UMgEAAGyGWQsAAAjDrAUAAIR5UQsAAMB2mLUAAIAwqAUAAIRBLQAAIAxqAQAAYVALAAAIg1oAAEAY1AIAAMKgFgAAEKZdtby9vbV2SieFSDbLlZtmh7rXLuLKzRcFtfQPkWyWKzcNaukb1NI/RLJZrtw0qKVvUEv/EMljGcfx/mA03rpy06CWvslTi8rheciPsjOj2aQgkgeiewW16KCWvslWy/xKYOM0TUr9WFLBmdFsWYzWsLVCJI/C8Mo43owdrtw0W+qu1KCnGkWkkJi/Uur9/X1KuDVPLzpr5y38/OVLVvo8wwK16FuGYfBtfB6yx6yluIX6YLyP420cb267RCM5ppF6MqK5VcK+VMQvnnEc//77b90rt9tWtfR0eW9UyzpqFasldwGmoArLSLhmYt+Fr7y/v6e3rO/SrXFt/Pzly//++mv5aydje29qUUq9v9JN90th9Yp9U7wQjeTtdnuM93dXGsdlXEw8H9ncKrFctEb/NLZs4VH9h10eXtmilmXgmOfHCCVyksdSrBallMisRSn1xx//Ukr9988/nWn1QXEV1hzWWcsiw9kasvQxM1p9/UJdrop5VpXGveuqZRiGYRiWsC4s7TQM3guuJz69skEtU8AHRSaQzW1Fvwdc27esO9l3eYL3fUvF759VfnjFnqulNM1TKvM8f/7twC5lasmq+Ha1bJy1GMfqo5NNStWWK+F1gH2oZekck/T8+7oLYktrGWPEdoE3sm4TJsUrU3IkHT7YYALZ3CbP8kX6vV4gK+eWYl688mia0emVKW3FRjfKFrvUXqjMbdnkDj7YE5TdZi3LDsVVsNUSJpDVmsN6J71u0dWilJqVGkTV8piO/PSTnSRnLdNzomDItsDAYRpQy71ltSR6Zcq5PXzxweaVK8Hc1vnKMlnRpy9lalmGZl0txpYA9/vd+9Y43pfaaquUo8crU7BplDVT0U6wpO5Lczyf/Tj+bmmgJfOsw9PVoj9WedZb5llLbbWIo57zHp9a5vOqJZ0fWiqoEmoJkO6VqYvH+LpXFowHpLlZRQnkoKvl5fUyXbnfH3aJeWVKGPvsmcqsIWiX7V7JzSR5MXA476zltSIlF5udj7H+r+qrZb8FMZ3AxnA+0fimL0OLtNnC6+h3Lx4KXbkVDqz2p4qzvDJ18RjfaM0tPVO9TlDWXmpPCnyZLJ8mXl88Xmte+Zy7BL0yJcxalDJnLYZaclfGnHYR8UpuVrmrSQW0oJbHxTQMDwPY6XmTlFIj7Yr9lEiuWrKGyvM9xo9WLOXKe4+Re3UGRsSsfKRye1hEs0uuV6YuHuOX3Sj48hFRi840TQ+j3B9euY/32xjxypQ2a1ntYpynccLpQSiWQTSrrAztuqdPUARnLYs8nKzvluW/FBGSiiWYQFZrhs/5erlappybs/OpRa+e892UZjOe7ixseeTT2qzl0yL3cSryytTFY/ylKbd/6s85KPs2+jKx1aIZ5dMrt4RWTpy1rOejPF+MyL3Oy5awfJmULa851aLVaO3Rwzr81njWEk1dqmVK/iDZWT8htrHZjAnKgsgXXFa1lB0uxTjedLt8vq6glqnhx/iT63FLcSa2QnzbnTjNcrvdcr0y5c1a3JOVdUtuKAoevNuHO72SaJf2Zy1K4hNi6nnhRhfEUhpRyallSlty3O8xvqxaAmTNWlaRrN8/2vhBtUbUMhl2yffKlPk5lk8fSHyxUTA340NiZRhDc9a7K+5Zy/2+fHVlSYnnc9SsZWFLiwRm5Imz80aetTjVIvjhYzUMujzcPPeJ1khWLSk0+uHjqr8hpl4nKOuaidysJWPlqiqmXXK8MuV/RHLj/WzV3DaujFVVy/rcJZ0DZy2Hs+UTYiJF7KQWXR6+FLvk9Axf1aJWtShDOEJ22W9BLJ3nIRW/MqmeExdDLRunLA3yaZdMr0xFn77faIItN7NVcV6iie+urP4wdJLrlSltbKo3azmWsu+1CBahzjlr0Rf/9fuM4bUUqQFwp1mLk7KvrURJ/16Lcv2G2Bk7W5hlzlJw4P5f7LrF2PNkxLl7vtdSQOL9kz5r8bHlNA5hy7fxpYqIjPix2OZ9+Dg2a0mp0eIM5+1FpbuN/dRiz0JstRTPVHT45WMprvzL7Y2Tdf+0w/nsyaX+vxap24JEFwpeLbstiP0w0vRUi/OtLTAgSkEkm+XKTXMptVyQTmYtEIBINsuVmwa19I3As5ZK0GxSEMlmuXLToJa+QS39QySb5cpNg1r6BrX0D5Fslis3DWrpm3bVAgAAJwW1AACAMKgFAACE8arl199+J5FIJBKpIIXUYv12AAAAQBwZtST+rM0huWUxTVP6zgeeZz2IQCUILFyKuFpSltWWnlC0Ilc9t1wSi357ezv2POtBBCqRG1iA84JaTBKL7nhgJQKVyA0swHk5h1r2/NnXxIoYA2tPv7tcFoGpryDUIDewAOcFtZgkVsQ5sBovTkpZBPRanz0ClcgNLMB5OY1adhutEiuCWgJqASe5gQU4LydQi3r+161S+YdJrEhgOajaqe1EWQQ6qHhtcgMLcF5Qi0liRZi1oJZccgMLcF7OoZY9JwSJFUEtqCWX3MACnJdzqMV4UZXEiqAWHuPnkhtYgPPSulr0yco+E5fEivDh446fNlUiN7AA56V1texPYtEdf2GQCFQiN7AA5wW1mCQW3fHASgQqkRtYgPMSUcsAHpb+f2WIQCVQC3RAi798rJQSzK0e7+/vR5/CwRCBShBYODt5C2K+J7SLWv4vBGo5C0SgEgQWzk62Wpx2QS3XhAhUgsDC2SlRi22XMrUopQ5Xi1HWWsHAlpXW+v+WuviyUq8Yu7UWgabo6dICyKVQLYZdCtSyZHKsWuyubrz2vbvQVP/fWBdfVuE9m4pAU/R0aQEUUK4W3S59zFrCvb39/r+lLsZbqGU7qAWuzCa1rHbpQy2+jWdZtdhSF2N/XS2s25QRbg7UAn3DrCX1jr79/r+lLsb2FEvN7UWgKcLNgVqgbw571tKmWqIrRTqt9f8tddHf8k1T2o9AU4SbA7VA3/AJsdRnEu33/y118e18rgg0RU+XFkAuh32vZbXUgWoxbs+N5T7nPjpN9f+yuvhCfcYINEVPlxZAAXwbvxz6PxGoBIGFsyP5y8eo5WoQgUoQWDg7Lf7ysVLqHeDaHDcmAAgg88vHAAAAK6gFAACEQS0AACAMagEAAGFQCwAACPMP130x/Xhl6osAAAAASUVORK5CYII=" alt="" />

从以上例子可以看出,第二个参数可为负值,表示为截取小数点左边指定位数后面的部分,即皆为0位,与为整数相似,为1时取十分位,为-1则取到十位,以此类推。当然有一种情况是这样的:trunc(123.45,-5),可以测返回:

select trunc(123.4,-5) from dual;

aaarticlea/png;base64,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" alt="" />

日期处理:此时函数返回指定元素格式截去一部分日期值。

语法:trunc(date[,fmt])

Date 为必要参数,是输入的一个日期。Fmt参数可以忽略,是日期格式,用以指定的元素格式来截去输入的日期值,默认为0,此时截去最近的日期。

用法及举例可参考如下:

aaarticlea/png;base64,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" alt="" />

附:

在当前日期加一个月,加一天,加一小时,加一分钟,加一秒的方法:

oracle中有一个add_mouth()函数,可直接加月份:

select sysdate,add_months(sysdate ,1) from dual;

aaarticlea/png;base64,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" alt="" />

加一天,加一小时,加一分钟,加一秒:

select
sysdate +1 加一天 ,
sysdate+1/24 加1小时,
sysdate+1/(24*60) as 加1分钟,
sysdate+1/(24*60*60) as 加1秒钟
from dual

aaarticlea/png;base64,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" alt="" />

---------

本系列为最近一段时间学习oracle的学习笔记,记录于此作为自身回顾,其中有的来的网络,有的来的书籍,但时间已久,记不清哪些是引用,如是转载但没标注出,特意致歉。

上一篇:javascript sort 函数用法


下一篇:如何给div加一个边框border样式