select to_char(日期,'yyyy-mm-dd') from( select to_date('2016-01-01','yyyy-mm-dd') + level 日期 from dual
connect by level <=to_date('2016-12-31','yyyy-mm-dd')-to_date('2016-01-01','yyyy-mm-dd'));

结果：

"日期"
"2016-01-02"
"2016-01-03"
"2016-01-04"
"2016-01-05"
"2016-01-06"
"2016-01-07"
"2016-01-08"
"2016-01-09"
"2016-01-10"
"2016-01-11"
"2016-01-12"
"2016-01-13"
"2016-01-14"
"2016-01-15"
"2016-01-16"
"2016-01-17"
"2016-01-18"
"2016-01-19"
"2016-01-20"
"2016-01-21"
"2016-01-22"
"2016-01-23"
"2016-01-24"
"2016-01-25"
"2016-01-26"
"2016-01-27"
"2016-01-28"
"2016-01-29"
"2016-01-30"
"2016-01-31"
"2016-02-01"
"2016-02-02"
"2016-02-03"
"2016-02-04"
"2016-02-05"
"2016-02-06"
"2016-02-07"
"2016-02-08"
"2016-02-09"
"2016-02-10"
"2016-02-11"
"2016-02-12"
"2016-02-13"
"2016-02-14"
"2016-02-15"
"2016-02-16"
"2016-02-17"
"2016-02-18"
"2016-02-19"
"2016-02-20"
"2016-02-21"
"2016-02-22"
"2016-02-23"
"2016-02-24"
"2016-02-25"
"2016-02-26"
"2016-02-27"
"2016-02-28"
"2016-02-29"
"2016-03-01"
"2016-03-02"
"2016-03-03"
"2016-03-04"
"2016-03-05"
"2016-03-06"
"2016-03-07"
"2016-03-08"
"2016-03-09"
"2016-03-10"
"2016-03-11"
"2016-03-12"
"2016-03-13"
"2016-03-14"
"2016-03-15"
"2016-03-16"
"2016-03-17"
"2016-03-18"
"2016-03-19"
"2016-03-20"
"2016-03-21"
"2016-03-22"
"2016-03-23"
"2016-03-24"
"2016-03-25"
"2016-03-26"
"2016-03-27"
"2016-03-28"
"2016-03-29"
"2016-03-30"
"2016-03-31"
"2016-04-01"
"2016-04-02"
"2016-04-03"
"2016-04-04"
"2016-04-05"
"2016-04-06"
"2016-04-07"
"2016-04-08"
"2016-04-09"
"2016-04-10"
"2016-04-11"
"2016-04-12"
"2016-04-13"
"2016-04-14"
"2016-04-15"
"2016-04-16"
"2016-04-17"
"2016-04-18"
"2016-04-19"
"2016-04-20"
"2016-04-21"
"2016-04-22"
"2016-04-23"
"2016-04-24"
"2016-04-25"
"2016-04-26"
"2016-04-27"
"2016-04-28"
"2016-04-29"
"2016-04-30"
"2016-05-01"
"2016-05-02"
"2016-05-03"
"2016-05-04"
"2016-05-05"
"2016-05-06"
"2016-05-07"
"2016-05-08"
"2016-05-09"
"2016-05-10"
"2016-05-11"
"2016-05-12"
"2016-05-13"
"2016-05-14"
"2016-05-15"
"2016-05-16"
"2016-05-17"
"2016-05-18"
"2016-05-19"
"2016-05-20"
"2016-05-21"
"2016-05-22"
"2016-05-23"
"2016-05-24"
"2016-05-25"
"2016-05-26"
"2016-05-27"
"2016-05-28"
"2016-05-29"
"2016-05-30"
"2016-05-31"
"2016-06-01"
"2016-06-02"
"2016-06-03"
"2016-06-04"
"2016-06-05"
"2016-06-06"
"2016-06-07"
"2016-06-08"
"2016-06-09"
"2016-06-10"
"2016-06-11"
"2016-06-12"
"2016-06-13"
"2016-06-14"
"2016-06-15"
"2016-06-16"
"2016-06-17"
"2016-06-18"
"2016-06-19"
"2016-06-20"
"2016-06-21"
"2016-06-22"
"2016-06-23"
"2016-06-24"
"2016-06-25"
"2016-06-26"
"2016-06-27"
"2016-06-28"
"2016-06-29"
"2016-06-30"
"2016-07-01"
"2016-07-02"
"2016-07-03"
"2016-07-04"
"2016-07-05"
"2016-07-06"
"2016-07-07"
"2016-07-08"
"2016-07-09"
"2016-07-10"
"2016-07-11"
"2016-07-12"
"2016-07-13"
"2016-07-14"
"2016-07-15"
"2016-07-16"
"2016-07-17"
"2016-07-18"
"2016-07-19"
"2016-07-20"
"2016-07-21"
"2016-07-22"
"2016-07-23"
"2016-07-24"
"2016-07-25"
"2016-07-26"
"2016-07-27"
"2016-07-28"
"2016-07-29"
"2016-07-30"
"2016-07-31"
"2016-08-01"
"2016-08-02"
"2016-08-03"
"2016-08-04"
"2016-08-05"
"2016-08-06"
"2016-08-07"
"2016-08-08"
"2016-08-09"
"2016-08-10"
"2016-08-11"
"2016-08-12"
"2016-08-13"
"2016-08-14"
"2016-08-15"
"2016-08-16"
"2016-08-17"
"2016-08-18"
"2016-08-19"
"2016-08-20"
"2016-08-21"
"2016-08-22"
"2016-08-23"
"2016-08-24"
"2016-08-25"
"2016-08-26"
"2016-08-27"
"2016-08-28"
"2016-08-29"
"2016-08-30"
"2016-08-31"
"2016-09-01"
"2016-09-02"
"2016-09-03"
"2016-09-04"
"2016-09-05"
"2016-09-06"
"2016-09-07"
"2016-09-08"
"2016-09-09"
"2016-09-10"
"2016-09-11"
"2016-09-12"
"2016-09-13"
"2016-09-14"
"2016-09-15"
"2016-09-16"
"2016-09-17"
"2016-09-18"
"2016-09-19"
"2016-09-20"
"2016-09-21"
"2016-09-22"
"2016-09-23"
"2016-09-24"
"2016-09-25"
"2016-09-26"
"2016-09-27"
"2016-09-28"
"2016-09-29"
"2016-09-30"
"2016-10-01"
"2016-10-02"
"2016-10-03"
"2016-10-04"
"2016-10-05"
"2016-10-06"
"2016-10-07"
"2016-10-08"
"2016-10-09"
"2016-10-10"
"2016-10-11"
"2016-10-12"
"2016-10-13"
"2016-10-14"
"2016-10-15"
"2016-10-16"
"2016-10-17"
"2016-10-18"
"2016-10-19"
"2016-10-20"
"2016-10-21"
"2016-10-22"
"2016-10-23"
"2016-10-24"
"2016-10-25"
"2016-10-26"
"2016-10-27"
"2016-10-28"
"2016-10-29"
"2016-10-30"
"2016-10-31"
"2016-11-01"
"2016-11-02"
"2016-11-03"
"2016-11-04"
"2016-11-05"
"2016-11-06"
"2016-11-07"
"2016-11-08"
"2016-11-09"
"2016-11-10"
"2016-11-11"
"2016-11-12"
"2016-11-13"
"2016-11-14"
"2016-11-15"
"2016-11-16"
"2016-11-17"
"2016-11-18"
"2016-11-19"
"2016-11-20"
"2016-11-21"
"2016-11-22"
"2016-11-23"
"2016-11-24"
"2016-11-25"
"2016-11-26"
"2016-11-27"
"2016-11-28"
"2016-11-29"
"2016-11-30"
"2016-12-01"
"2016-12-02"
"2016-12-03"
"2016-12-04"
"2016-12-05"
"2016-12-06"
"2016-12-07"
"2016-12-08"
"2016-12-09"
"2016-12-10"
"2016-12-11"
"2016-12-12"
"2016-12-13"
"2016-12-14"
"2016-12-15"
"2016-12-16"
"2016-12-17"
"2016-12-18"
"2016-12-19"
"2016-12-20"
"2016-12-21"
"2016-12-22"
"2016-12-23"
"2016-12-24"
"2016-12-25"
"2016-12-26"
"2016-12-27"
"2016-12-28"
"2016-12-29"
"2016-12-30"
"2016-12-31"

用sql 生成2016年全年的日期的更多相关文章

  1. 数据库技术丛书:SQL Server 2016 从入门到实战(视频教学版) PDF

    1:书籍下载方式: SQL Server2016从入门到实战 PDF 下载  链接:https://pan.baidu.com/s/1sWZjdud4RosPyg8sUBaqsQ 密码:8z7w 学习 ...

  2. SQL Server 2016 CTP2.3 的关键特性

    SQL Server 2016 CTP2.3 的关键特性 数据库方面的增强 Row Level Security已经支持In-memory OLTP 表.用户现在可以对内存优化表实施row-level ...

  3. SQL Server 2016 CTP2.2 的关键特性

    SQL Server 2016 CTP2.2 的关键特性 正如微软CEO 说的,SQL Server2016 是一个Breakthrough Flagship  Database(突破性的旗舰级数据库 ...

  4. SQL Server 2016的数据库范围内的配置

    SQL Server 2016真的让人眼前一亮.几天前微软就提供了RCO(候选发布版)版本的下载.我已经围观了一圈RCO版本,其中一个最拽的功能是数据库范围内的配置(Database Scoped C ...

  5. 在SQL Server 2016里使用查询存储进行性能调优

    作为一个DBA,排除SQL Server问题是我们的职责之一,每个月都有很多人给我们带来各种不能解释却要解决的性能问题. 我就多次听到,以前的SQL Server的性能问题都还好且在正常范围内,但现在 ...

  6. c#保存datagridview中的数据时报错 “动态SQL生成失败。找不到关键信息”

    ilovejinglei 原文 C#中保存datagridview中的数据时报错"动态SQL生成失败.找不到关键信息" 问题描述     相关代码 using System; us ...

  7. SQL Server ->> 深入探讨SQL Server 2016新特性之 --- Temporal Table（历史表）

    原文:SQL Server ->> 深入探讨SQL Server 2016新特性之 --- Temporal Table(历史表) 作为SQL Server 2016(CTP3.x)的另一 ...

  8. SQL Server 2016 查询存储性能优化小结

    SQL Server 2016已经发布了有半年多,相信还有很多小伙伴还没有开始使用,今天我们来谈谈SQL Server 2016 查询存储性能优化,希望大家能够喜欢 作为一个DBA,排除SQL Ser ...

  9. SQL Server ->> SQL Server 2016新特性之 -- Dynamic Data Masking

    Dynamic Data Masking是为了防止敏感数据暴露给未经授权的用户,以一种最小开销和维护成本的形式.Dynamic Data Masking用于表的字段,相当于盖住字段数据的一部分.比如一 ...

随机推荐

  1. http://ctf.bugku.com/challenges#Easy_Re

      今天做一道逆向题,开心,见证了自己汇编的用途.     首先看它是否加壳? 1.加壳检测   是vc编程的,没有加壳,可以愉快地分析了.   2.分析程序,找到flag.   首先运行一下子程序, ...

  2. ES6之Promise对象

    创建Promise对象 function getHtml(url) { return new Promise((resolve, reject) => { let xhr = new XMLHt ...

  3. 支付宝小程序开发之与微信小程序不同的地方

    前言: 本文仅汇总微信小程序移植支付宝小程序过程中遇到的一些不同的地方,详细请参考官方开发文档. 网络请求: 对于网络请求,基本上改动不大,也就支付宝小程序没有responseType属性及响应码字段 ...

  4. f5冗余BIG-IP系统的安装

    1.设备服务群集 •一个系列的BIG-Ips彼此互相支持DSC •每一台BIG-IP 自己生成一个Device Object •不同设备的信息 •建立信任证书 •在local device上设置Dev ...

  5. JAVA8 ARRAY、LIST操作 汇【5】）- JAVA8 LAMBDA LIST统计（求和、最大、最小、平均）

    public class Apple { private Integer id; private String name; private BigDecimal money; private Inte ...

  6. Quartz代码及配置详解（转）

    Quartz可以用来做什么? Quartz是一个任务调度框架.比如你遇到这样的问题 想每月25号,信用卡自动还款 想每年4月1日自己给当年暗恋女神发一封匿名贺卡 想每隔1小时,备份一下自己的爱情动作片 ...

  7. MySQL安装（windows版本）

    1.下载.MySQL http://dev.mysql.com/downloads/mysql/ 下载windows的zip包,解压后,添加path路径bin, 系统环境变量->path-> ...

  8. httpclient的简单使用

    1.通过get请求后台,注意tomcat的编码设置成utf-8;    <Connector connectionTimeout="20000" port="808 ...

  9. 6-完美解决Error:SSL peer shut down incorrectly

    转载自: 完美解决Error:SSL peer shut down incorrectly 打开gradle文件夹下的gradle-wrapper文件 修改其中的配置文件将红色区域修改为http:// ...

  10. JFinal Web开发学习(四)数据库连接与自动生成model

    1.新建数据库jfinal_test,user表 /* Navicat MySQL Data Transfer Source Server : . Source Server Version : 50 ...