Cursor creator
This is immediately followed by opening the cursor. The cursor name can be anything meaningful. Throughout the logic along with the business logic (SELECT statement) to populate the records
#CURSOR CREATOR HOW TO#
How to Write a Cursor in SQL ServerĬreating a SQL Server cursor is a consistent process. SQL Server cursors are used forĭevelopment, DBA and ETL processes. One row at a time or perform an administrative process such as SQL Serverĭatabase backups in a sequential manner.
#CURSOR CREATOR UPDATE#
The purpose for the cursor may be to update WHERE name NOT IN ('master','model','msdb','tempdb')īACKUP DATABASE TO DISK = NEXT FROM db_cursor INTO db_cursorĭEALLOCATE db_cursor What is a SQL Server CursorĪ SQL Server cursor is a set of T-SQL logic to loop over a predetermined
#CURSOR CREATOR SERIAL#
Here is an example SQL Server cursor from this tipĭatabases where backups are issued in a serial manner:ĭECLARE VARCHAR(256) - path for backup filesĭECLARE VARCHAR(256) - filename for backupĭECLARE VARCHAR(20) - used for file name Let's first provide a SQL Server Cursor example then answer all of the pertinent questions.
Regardless, they probably have a place in particular circumstances and not in others. In each of these camps, they haveĭifferent reasons for their stand on cursor usage. So they must have a place where they can be used in an efficient manner. Guidance on when to use cursors? I assume Microsoft included them in SQL Server for a reason Can you provide some cursor examples? Can you give any I know cursors exist, but I am not sure how Types of operations are what SQL Server is designed to process and it should be In my T-SQL code, I always use set based operations. Let us show you how to save time on tedious but critical database documentation tasks. Learn tips and tricks on how to master your data environment with SolarWinds® DataOps solutions, which are designed to help you streamline essential database tasks, database projects, and data-centric application development. Free MSSQLTips Webinar: Master Your Data Environment With DataOps