SQL语法粗整理

1、在同一张表中，对前一条数据进行更新性插入操作，即：

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" 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对上一条记录的部分属性(id, handledpeople, handledmessage, handledtime)进行更新操作，并将更新后的数据，在不改变原记录的情况下，插入到数据库中，此方法的SQL语句如下：

insert into table select sys_guid(), userid, subjectid, applytime, applyreason, 'change_A', 'change_B', sysdate from table

where handledtime = (select max(handledtime) from table where subjectid = 'f30c77cc-fd2a-49b1-a5dd-0e1b60505b1d');

ps:其中id有唯一性约束，必须进行更新操作。

此句SQL表示，查询指定的SUBJECTID条中HANDLEDTIME为最大的那条语句，进行更新部分字段的值后，将新结果插入到数据库中。

 

2、Oracle中，对于日期的格式化有一下几种：

     a、输出日期时的格式化函数：

          to_char(date,'yyyy-MM-dd hh24:mi:ss')此为24小时格式，输出如：2014-10-10 09:20:30

          to_char(date,'yyyy-MM-dd hh12:mi:ss PM')此为24小时格式，输出如：10-10月-2014 09:20:30 上午

          b、存储为格式化的日期函数：

          to_data(date, 'yyyy-MM-dd hh24:mi:ss')其后格式同上

 

3、关于SQL的执行效率的问题：

     有两条SQL语句，如下：

          a：select a.* from tableA a where a.id = (select b.Aid from tableB b where b.id = 'xxx')

          b：select a.id, a.name, a.age, a.gender from tableA a join tableB b on a.id = b.Aid where b.id = 'xxx'

     分析：从结果来看，两条sql的执行结果是一致的，都能从数据库中取得正确的结果集，但是，从效率来讲，b种写法比a种写法的执行效率更高。

 

4、左关联、右关联以及全关联查询：

     左关联：left join on:左边表的查询结果全部显示，既是右边的条件不满足，也能显示，即以左表为中心，一切数据都为左表服务；

     右关联：right join on:右边的表为中心，为右表服务；

     全关联：join on:只有双方都得到满足时，数据方可显示出来，二表为平等关系；

 

5、多表查询之效率（细节影响效率篇）：

     a、FROM子句后面的表顺序：

          ORACLE在解析sql语句的时候对FROM子句后面的表名是从右往左解析的，是先扫描最右边的表，然后在扫描左边的表，然后用左边的表匹配数据，匹配成功后就合并。 所以，在对多表查询中，一定要把小表写在最右边；

          -- tableA：100w条记录 tableB：1w条记录

          select count(1) from tableA, tableB;

          select count(1) from tableB, tableA;(效率更高)

          还有一种是三张表的查询：

          select count(1) from tableA a,tableB b ,tableC c where a.id=b.id and a.id=c.id;

          上面中tableA 为交叉表，根据oracle对From子句从右向左的扫描方式，应该把交叉表放在最末尾，然后才是最小表，所以上面的应该这样写：

          -- tableA a 交叉表

  -- tabelB b 100w条记录

  --tableC c 1w条记录

  select count(1) from tableB b ,tableC c ,tableA a where a.id=b.id and a.id=c.id;

     b、Where子句后面的条件过滤：

          ORACLE对where子句后面的条件过滤是自下向上，从右向左扫描的，所以和From子句一样一样的，把过滤条件排个序，按过滤数据的大小，自然就是最少数据的那个条件写在最下面，最右边，依次类推，例如：

          --No.1 不可取 性能低下

  select * from tableA a where a.id>500 and a.lx = '2b' and a.id < (select count(1) from tableA where id=a.id);

  --No.2 性能高

  select * from tableA a where a.id < (select count(1) from tableA where id=a.id) and a.id>500 and a.lx = '2b';

     c、使用select的时候少用*，最好写上字段名，因为ORACLE的查询器会把*转换为表的全部列名，这个会浪费时间的，所以在大表中少用；

     d、充分利用rowid ，可以用rowid来分页，删除查询重复记录，效率很高的，如：

          --oracle查找重复记录

          select * from tableA a where a.rowid >= (select min(rowid) from tableB b where a.column = b.column);

          --oracle删除重复记录

          delete from tableA a where a.rowid>=(select min(rowid) from tableB b where a.column=b.column);

          --分页 start=10 limit=10

  --end 为 start + limit

  --1.查询要排列的表A

  --2.查询A表的Rownum找出小于end的数据组成表B

  --3.查询B表通过rownum找出大于start的数据完成

  --简单的说先根据end值过滤数据，然后在根据start过滤数据

  SELECT * FROM (SELECT a.*, ROWNUM rn FROM (SELECT * FROM uim_serv_file_data ORDER BY OUID) a where ROWNUM<=20) b

       where rn>10 order by ouid desc;

     e、存储过程中需要注意的，多用commit，可以释放资源，但是要谨慎；

     f、减少对数据库表的查询，尽量能程序实现的就不要使用sql操作；

     g、少用in，多用exists来代替，如：

          --NO.1 IN的写法

SELECT *
FROM TABLEA A
WHERE A.ID IN (SELECT ID FORM TABLEB B WHERE B.ID > 1);

  --NO.2 exists 写法

SELECT *
FROM TABLEA A
WHERE EXISTS(SELECT 1
             FROM TABLEB B
             WHERE A.ID = B.ID AND B.ID > 1);

 

6、查询在一段时间内的指定数据：

     使用time相关的函数：to_char和to_date，如：

SELECT
  appName,
  to_char(CREATETIME, 'yyyy-MM-dd') time
FROM TABLE
WHERE CREATETIME BETWEEN to_date('begintime', 'yyyy-MM-dd hh24:mi:ss') AND to_date('endtime', 'yyyy-MM-dd hh24:mi:ss')
ORDER BY CREATETIME ASC;

     说明：查询createtime在begintime和endtime范围内的数据，并以createtime从小到大排序输出。

 

7、多表查询：

     现有日志表，记录了用户申请APP的流程，如下：

     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" alt="" />

     表结构为：用户没做一次申请的动作，便会产生一条记录；管理员每做一次审核的动作，便会在原来的记录的基础上产生一条新的记录，新记录的部分数据与原记录相同，但后半部分数据则与原数据不同。现在要求：查询出用户申请APP动作的最新的记录，如果管理员有审核，则按handledTime排序取最新的那条记录，如果管理员没有进行审核（此时的handledTime字段为null值），则取出用户单独操作的那条记录，查询语句如下（此语句中包含了关联的另一个表的数据，但无伤大雅）：

SELECT appName, applyTime, handledTime, handledMessage, handledResult FROM (
  SELECT
    s.NAME                                    appName,
    to_char(f.APPLYTIME, 'yyyy-MM-dd')        applyTime,
    to_char(f.HANDLEDTIME, 'yyyy-MM-dd')      handledTime,
    f.HANDLEDMESSAGE                          handledMessage,
    f.HANDLEDRESULT                           handledResult,
    dense_rank()
    OVER (PARTITION BY f.SUBJECTID
      ORDER BY f.HANDLEDTIME DESC NULLS LAST) o
  FROM API_APPLY_FLOW f, API_SUBJECT s
  WHERE f.SUBJECTID = s.ID AND s.USERID = '1f151f1ede88483eabf598fa77828a36'
) WHERE o = 1;

至于执行效率，没有做过测试，不知道。

     ps：desc nulls last表示将null值放到排序序列的最后面，因为Oracle默认在时间排序中，null为最大值，如果没有此句，则取出的值与预期不符。对于MySQL，因为暂时没用所以就没测试。

 

8、关于几个排序函数(rank() over、dense_rank()、row_number())之间的区别 :

　　rank() over：相同行的排序结果相同，但占用排序的位数，即排序的结果不连续；

　　dense_rank()：相同行的排序结果相同，不占用排序的位数，排序结果是连续的；

　　row_number()：不考虑相同的行，一律顺序排次，排序结果当然也是连续的；

 

9、查询指定的一段时期内，符合要求的记录的总数，要求按周进行统计:

SELECT
  TO_CHAR(y.CREATE_TIME, 'yyyy') year,
  TO_CHAR(y.CREATE_TIME, 'iw')   week,
  COUNT(0)                       COUNT
FROM WXF_YHXX y
WHERE y.CREATE_TIME >= to_date('2016-08-01 00:00:00', 'yyyy-mm-dd hh24:mi:ss')
      AND y.CREATE_TIME < to_date('2016-09-01 00:00:00', 'yyyy-mm-dd hh24:mi:ss')
GROUP BY TO_CHAR(y.CREATE_TIME, 'iw'), TO_CHAR(y.CREATE_TIME, 'yyyy')
ORDER BY week DESC;

10、一行转多列并进行关联查询：

　　问题说明：现遇到，在查询主表时，有一列的字段类型为varchar，但是其所存的值，却是一个数组，格式为这样：'76,70,71,72,73,74,75,15'，其中每一个数字，都为另一个表中对应的id的值。由于数据量很大，如果通过代码循环来做的话，对数据库的查询次数会呈笛卡儿积的形式增加，效率大大降低。所以，怎么通过一条sql语句来实现一次性查询呢？

　　解决办法：oracle中有一个函数，叫做：REGEXP_*, 这类函数有四种形式，每一种的使用方法也不一样，介绍如下：

　　　　1、REGEXP_REPLACE()，参数有六个，具体例子参见 这个。

　　　　2、REGEXP_LIKE()，参数有三个，具体例子参见 这个。

　　　　3、REGEXP_INSTR()，参数有六个，参见 这个。

　　　　4、REGEXP_SUBSTR()，参数有五个，参见 这个。

　　现在，要针对性的解决问题了，具体SQL为：

WITH a AS (SELECT '/ABC/AA/AD/ABD/JI/CC/ALSKD/ALDKDJ' id
           FROM dual) SELECT regexp_substr(id, '[^/]+', 1, rownum) id
                      FROM a
                      CONNECT BY rownum <= length(regexp_replace(id, '[^/]+'));

　　实际的开发应用的是这个：

SELECT REGEXP_SUBSTR(t.ITEM_IDS, '[^,]+', 1, LEVEL, 'i') item
FROM (SELECT *
      FROM WXF_JCJL_SBXX sme
      WHERE sme.ID = '') t
CONNECT BY LEVEL <= LENGTH(ITEM_IDS) - LENGTH(REGEXP_REPLACE(ITEM_IDS, ',', '')) + 1;

　　说明：替换的字符为逗号（，），输出结果为：'76,70,71,72,73,74,75,15'这些全都拆开了。

11、小问题：分页查询

　　这是个最常见也最容易忽视的一个东西。分页的目的或作用是：一是为了使前端展示起来比较美观，二是提高了数据库的性能，减少了非必要数据的查询从而减少了资源的浪费。

　　至于分页实现的原理什么的，戳这里。

　　现在来说说如何使用SQL语句来实现分页。分页的技术实现有好多种，不同数据库标准下的实现是不同的，现只针对ORACLE数据库进行说明，其他的出门右转有百度，左转有google，请自便。

　　实现方式：继续戳，对，就这里。

　　

12、CASE ... WHEN ... THEN ... WHEN ... THEN ... ELSE ... END

　　作为查询，有时候会遇到一些没有具体汉字属性的值，库里面存的只是一串数字或者其他乱七八糟的标识符号，这些东西要是传给前端，人家又不知道那什么意思，来回问来问去的也麻烦，还不如自己在SQL里就给定义好了省事。

　　然后问题来了，怎么进行自定义返回的参数的值。现有CASE语句，便可解决这个问题。

　　例子：  　　

SELECT COMPANY_ID, STATE FROM WXF_JCJL ;

　　查询结果为：

　　

　　其中STATE属性有两个值，分别为1和0，1代表“已经处理”，0代表“尚未处理”。

　　使用CASE语句进行处理，方式为：

SELECT
  COMPANY_ID,
  CASE STATE
  WHEN 1
    THEN '已经处理'
  WHEN 0
    THEN '尚未处理'
  ELSE '未知' END AS state
FROM WXF_JCJL;

　　结果为：

 　　这样看起来就好多了。

 　　　　需要注意的是，当 列名  放在CASE之后时，WHEN里面的值的类型必须要与列的类型一致，如果想要不一致，则将列名放到WHEN里就行了，此时的CASE后面是没有东西的。

 

 13、将多条名称重复, 但是个别字段不重复的记录, 合并为单条, 将重复的字段拼接为一行, 输出.

　　这里的例子是:

　　　　在table表中, companyName是companyAddress重复出现的列, name的值, 对于每个相同的companyName而言都是不同的, 现在要将companyName去重输出, name用\符号拼接起来组成一个列, 并按照timeset的倒序排列输出:

SELECT
  companyName,
  companyAddress,
  timeset,
  TRANSLATE(LTRIM(text, '/'), '*/', '*,') name
FROM (SELECT
        ROW_NUMBER() OVER (PARTITION BY companyName ORDER BY companyName, lvl DESC) rn,
        companyName,
        companyAddress,
        timeset,
        text
      FROM (SELECT
              companyName,
              companyAddress,
              timeset,
              LEVEL                          lvl,
              SYS_CONNECT_BY_PATH(name, ' \ ') text
            FROM
              (SELECT
                    companyName,
                    companyAddress,
                    name,
                    timeset,
                    ROW_NUMBER() OVER (PARTITION BY companyName ORDER BY companyName, name) x
                  FROM
                    tableORDER BY companyName, timeset, name) a
            CONNECT BY companyName = PRIOR companyName AND x - 1 = PRIOR x))
WHERE rn = 1
ORDER BY timeset DESC