Updating multiple columns in sql server 2016


15-Oct-2017 19:08

updating multiple columns in sql server 2016-66

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This book includes scripts and tools to hypercharge Oracle 11g performance and you can buy it for 30% off directly from the publisher.SQL Server Statistics assist the query optimiser to calculate the best way of running the query.Question: I want to update multiple rows in my table, and I need to understand how to update multiple columns.I already know how to update multiple rows using my where clause, but I don't see how to update multiple columns.Columnstore indexes were created as a response to the massive growth seen in these types of implementations.While standard OLTP databases tend to rely on selecting ranges of data (scans, seeks), OLAP queries initiated by tools such as Microsoft’s Power BI will generally request entire columns for aggregations.In this article I discuss how to use the MERGE statement to UPDATE, INSERT and DELETE records from a target table.

updating multiple columns in sql server 2016-84

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Columnstore indexes are not intended for data retrieved by OLTP applications.

This type of column-based index allows for great performance gains in data warehouses where table scans, rather than seeks, are performed.

Column Store indexes have evolved significantly over the last few SQL Server versions: The demand for business intelligence (BI) implementations has never been higher; traditional data warehousing is still a popular method for storing information in a non-relational manner.

commands that would potentially cause harm to the table itself.

create table mytable(id int, Full Name varchar(50)) Insert into mytable values(1,'Cleo, Smith'),(2,'single Name'),(3,null) --Option 1 select id, --,parsename(Full Name,4) as Name4 --,parsename(Full Name,3) as Name3, parsename(Full Name,2) as Name ,parsename(Full Name,1) as Sur Name FROM (Select id, replace(Fullname,',','.') Full Name from mytable) t --Option 2 SELECT DISTINCT id --, S.a.value('(/H/r)[4]', 'VARCHAR(100)') AS carname1 --, S.a.value('(/H/r)[3]', 'VARCHAR(100)') AS carname2 , S.a.value('(/H/r)[2]', 'VARCHAR(100)') AS Name , S.a.value('(/H/r)[1]', 'VARCHAR(100)') AS Sur Name FROM ( SELECT *, CAST (N'') AS xmlname FROM Your Table Name ) -- Define the outer query referencing the CTE name. Sur Name; select * from mytable drop table mytable--Option 2 SELECT DISTINCT id , ISNULL(S.a.value('(/H/r)[4]', 'VARCHAR(100)'),'default Value') AS carname4 , ISNULL(S.a.value('(/H/r)[3]', 'VARCHAR(100)'),'xxxxx') AS carname3 , S.a.value('(/H/r)[2]', 'VARCHAR(100)') AS Name , S.a.value('(/H/r)[1]', 'VARCHAR(100)') AS Sur Name FROM ( SELECT *, CAST (N'--create table Names Table (Id int, Full Name nvarchar(200), Name nvarchar(100), Surname nvarchar(100), Last nvarchar(100)) /* insert into Names Table select 1 , N'Cleo, Smith,james',null,null,null insert into Names Table select 2 , N'Eralper, Yılmaz',null,null,null insert into Names Table select 3 , N'Kodyaz',null,null,null */ select * from Names Table ;with cte as ( select n.

SELECT ID, xmlname.value('/Names[1]/name[1]','varchar(100)') AS Name, xmlname.value('/Names[1]/name[2]','varchar(100)') AS Surname FROM Split_Names CREATE TABLE #test(id int, data varchar(100)) INSERT INTO #test VALUES (1,'This,is,a,test,string') INSERT INTO #test VALUES (2,'See,if,it,can,be,split,into,many,columns') SELECT * FROM #test DECLARE @pivot varchar(8000) DECLARE @select varchar(8000) SELECT @pivot=coalesce(@pivot ',','') '[col' cast(number 1 as varchar(10)) ']' FROM master..spt_values where type='p' and numbercreate table mytable(id int, Full Name varchar(50)) Insert into mytable values(1,'Cleo, Smith,james'),(2,'single Name'),(3,null) Alter table mytable Add Name varchar(50), Surname varchar(50), Last varchar(50) --Option 2 ;with mycte as ( SELECT DISTINCT id --, S.a.value('(/H/r)[4]', 'VARCHAR(100)') AS carname1 , S.a.value('(/H/r)[3]', 'VARCHAR(100)') AS Last , S.a.value('(/H/r)[2]', 'VARCHAR(100)') AS Name , S.a.value('(/H/r)[1]', 'VARCHAR(100)') AS Sur Name FROM ( SELECT *, CAST (N'' AS XML) AS [vals] FROM mytable) d CROSS APPLY d.[vals].nodes('/H/r') S(a) ) Merge mytable t Using mycte s on t.id=When matched Then update Set Last=s.



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