How to count instances of character in SQL Column
In SQL Server:
tsql
Pad a string with leading zeros so it’s 3 characters long in SQL Server 2008
If the field is already a string, this will work If you want nulls to show as ‘000’ It might be an integer — then you would want As required by the question this answer only works if the length <= 3, if you want something larger you need to change the string constant and …
How to truncate string using SQL server
If you only want to return a few characters of your long string, you can use: See SQL Fiddle with Demo. This will return the first 15 characters of the string and then concatenates the … to the end of it. If you want to to make sure than strings less than 15 do not …
Varchar invalid for Sum operator
Try doing this:
Update query using Subquery in Sql Server
you can join both tables even on UPDATE statements, SQLFiddle Demo for faster performance, define an INDEX on column marks on both tables. using SUBQUERY SQLFiddle Demo
SUM OVER PARTITION BY
You could have used DISTINCT or just remove the PARTITION BY portions and use GROUP BY: Not sure why you are dividing the total by the count per BrandID, if that’s a mistake and you want percent of total then reverse those bits above to:
“select * into table” Will it work for inserting data into existing table
You should try Have a look at INSERT and SQL SERVER – Insert Data From One Table to Another Table – INSERT INTO SELECT – SELECT INTO TABLE
Comma separated results in SQL
Use FOR XML PATH(”) – which is converting the entries to a comma separated string and STUFF() -which is to trim the first comma- as follows Which gives you the same comma separated result Here is the FIDDLE
Arithmetic overflow error converting varchar to data type numeric. ’10’ <= 9.00
This generates an Arithmetic Overflow because it is trying to implicitly cast the Val column to a NUMERIC(3,2), which naturally will overflow on a 2-digit value like 10. It’s using NUMERIC(3,2) as the target type and size because that is the smallest numeric that 9.00 appears to fit into. The solution, of course, is to use explict CASTing instead …
How can I group by date time column without taking time into consideration
Cast/Convert the values to a Date type for your group by.