Auto process Cube with SQL Agent job
(1) Connect to the Analysis server, select the database which we want it to be automatically processed. Right click on this database, choose ‘Process’:
(2) In the opening ‘Process database’ form, click the ‘Script Action to New Query Window’ as below:
(3) A query form is opened as below, copy all these code.
(4) Connect to the Database Engine, choose the Jobs node under ‘SQL Server Agent’, right click on this ‘Jobs’ node and select ‘New Job’:
(5) In the opening ‘New Job’ form, enter a Name and description for this job
(6) Choose Steps in the left page in the ‘new Job’ form, then click the ‘New’ button to open ‘New Job Setup’ form
(7) In the ‘New Job Setup’ form, please enter a name for this Step, choose the Type ‘SQL Server Analysis Services Command’, enter the Server, then paste the command in our step(3) in to the Command, and you can select the ‘Advanced’ page in the left page to configure more for this step, like log file.
After you finish the setup of step, click OK return to ‘New Job’ form.
(8) Choose ‘schedules’ and then click ‘New’ buttons as below:
(9) In the ‘New Job Schedule’ form, enter a name for this schedule, set the frequency for this job, and set the daily frequency as below, finally, click OK.
(10) Click OK to finish the creation of the job, and it has been added to the agent, it will run the process every day.
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打开服务器 SQLBrowser 服务。
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SELECT ID,TITLE,
(SELECT TIMES from CLS_COURSE WHERE CLS_COURSE.ID=CLS_CLASS.COURSEID) AS TIMES,
(SELECT CASE WHEN EXISTS(SELECT * from CLS_ATDC WHERE CLS_ATDC.CLSID=CLS_CLASS.ID ) THEN (SELECT TOP 1 COURSETIME from CLS_ATDC WHERE CLS_ATDC.CLSID=CLS_CLASS.ID ORDER BY COURSETIME DESC) ELSE 0 ......
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数据如下：
name val memo
a 2 a2(a的第二个值)
a 1 a1--a的第一个值
a 3 a3:a的第三个值
b 1 b1--b的第一个值
b &n ......
如何用SQL语言选择表中的第二条第三条第N条记录
--ID为唯一性就行了
select top 1 * from table
where ID not in(select top 1 ID from table)--第2条
select top 1 * from table
where ID not in(select top 2 ID from table)--第3条
......
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select max(id) as nid,count(id) as 重复条数 from tableName
group by linkname Having Count(*) > 1
2.查找重复数据表的主键
select max(id) as nid from tableName
group by linkname Having Count(id) > 1
3.删除重复的数据
delete from table ......
