Updating multiple columns in sql server 2016 physiopraxis online dating

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We’re telling the Lag() function to retrieve the activity time from 1 row “back” using the same order of User and Activity Time (the Lead() function is similar but returns values in rows that follow rather than precede the current row).

Note the same blocks of idle time of 150 minutes and 45 minutes for user 1 on 1/1/2013.

--Create the User Management database USE master GO CREATE DATABASE User Management GO --Select the database USE User Management GO --Create the User Activity in the dbo schema CREATE TABLE dbo.

User Activity ( [User] int NOT NULL, Activity varchar(6) NOT NULL, Activity Time datetime NOT NULL ) GO --Insert data into the User Activity table INSERT dbo.

One way of doing that is shown in the query below where we create a CTE that puts corresponding values on the same row and then filters the data and calculates the idle time in the main query.USE TEMPDB GO DROP TABLE [dbo].[tbl_Employee] GO CREATE TABLE [dbo].[tbl_Employee]( [Employee ID] INT IDENTITY(1,1) , [Employee Name] VARCHAR (100) NOT NULL) GO INSERT INTO dbo.[tbl_Employee] ([Employee Name]) VALUES ('Andreas Berglund T') GO INSERT INTO dbo.[tbl_Employee] ([Employee Name]) VALUES ('Sootha Charncherngkha T') GO INSERT INTO dbo.[tbl_Employee] ([Employee Name]) VALUES ('Peng Wu') GO --Browse the data SELECT * FROM dbo.[tbl_Employee] GO Given below is the solution, where we need to convert the column into xml and then split it into multiple columns using delimiter.You can use any delimiter in the given below solution.User Activity ([User], Activity, Activity Time) VALUES (1, 'Log On', CAST('2013-01-01 ' AS datetime)) , (1, 'Log Off', CAST('2013-01-01 ' AS datetime)) , (1, 'Log On', CAST('2013-01-01 ' AS datetime)) , (1, 'Log Off', CAST('2013-01-01 ' AS datetime)) , (1, 'Log On', CAST('2013-01-01 ' AS datetime)) , (1, 'Log Off', CAST('2013-01-01 ' AS datetime)) , (1, 'Log On', CAST('2013-01-02 ' AS datetime)) , (1, 'Log Off', CAST('2013-01-02 ' AS datetime)) , (1, 'Log On', CAST('2013-01-02 ' AS datetime)) , (1, 'Log Off', CAST('2013-01-02 ' AS datetime)) , (2, 'Log On', CAST('2013-01-01 ' AS datetime)) , (2, 'Log Off', CAST('2013-01-01 ' AS datetime)) , (2, 'Log On', CAST('2013-01-01 ' AS datetime)) , (2, 'Log Off', CAST('2013-01-01 ' AS datetime))The Problem To understand the problem, let’s look at the User Activity table after running the script above.Notice that each row is either a logon or logoff activity and that, when shown in order by user and activity time, it’s logon, logoff, logon, logoff, and so on.

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