- SQL Tutorial
- SQL - Home
- SQL - Overview
- SQL - RDBMS Concepts
- SQL - Databases
- SQL - Syntax
- SQL - Data Types
- SQL - Operators
- SQL - Expressions
- SQL Database
- SQL - Create Database
- SQL - Drop Database
- SQL - Select Database
- SQL - Rename Database
- SQL - Show Databases
- SQL - Backup Database
- SQL Table
- SQL - Create Table
- SQL - Show Tables
- SQL - Rename Table
- SQL - Truncate Table
- SQL - Clone Tables
- SQL - Temporary Tables
- SQL - Alter Tables
- SQL - Drop Table
- SQL - Delete Table
- SQL - Constraints
- SQL Queries
- SQL - Insert Query
- SQL - Select Query
- SQL - Select Into
- SQL - Insert Into Select
- SQL - Update Query
- SQL - Delete Query
- SQL - Sorting Results
- SQL Views
- SQL - Create Views
- SQL - Update Views
- SQL - Drop Views
- SQL - Rename Views
- SQL Operators and Clauses
- SQL - Where Clause
- SQL - Top Clause
- SQL - Distinct Clause
- SQL - Order By Clause
- SQL - Group By Clause
- SQL - Having Clause
- SQL - AND & OR
- SQL - BOOLEAN (BIT) Operator
- SQL - LIKE Operator
- SQL - IN Operator
- SQL - ANY, ALL Operators
- SQL - EXISTS Operator
- SQL - CASE
- SQL - NOT Operator
- SQL - NOT EQUAL
- SQL - IS NULL
- SQL - IS NOT NULL
- SQL - NOT NULL
- SQL - BETWEEN Operator
- SQL - UNION Operator
- SQL - UNION vs UNION ALL
- SQL - INTERSECT Operator
- SQL - EXCEPT Operator
- SQL - Aliases
- SQL Joins
- SQL - Using Joins
- SQL - Inner Join
- SQL - Left Join
- SQL - Right Join
- SQL - Cross Join
- SQL - Full Join
- SQL - Self Join
- SQL - Delete Join
- SQL - Update Join
- SQL - Left Join vs Right Join
- SQL - Union vs Join
- SQL Keys
- SQL - Unique Key
- SQL - Primary Key
- SQL - Foreign Key
- SQL - Composite Key
- SQL - Alternate Key
- SQL Indexes
- SQL - Indexes
- SQL - Create Index
- SQL - Drop Index
- SQL - Show Indexes
- SQL - Unique Index
- SQL - Clustered Index
- SQL - Non-Clustered Index
- Advanced SQL
- SQL - Wildcards
- SQL - Comments
- SQL - Injection
- SQL - Hosting
- SQL - Min & Max
- SQL - Null Functions
- SQL - Check Constraint
- SQL - Default Constraint
- SQL - Stored Procedures
- SQL - NULL Values
- SQL - Transactions
- SQL - Sub Queries
- SQL - Handling Duplicates
- SQL - Using Sequences
- SQL - Auto Increment
- SQL - Date & Time
- SQL - Cursors
- SQL - Common Table Expression
- SQL - Group By vs Order By
- SQL - IN vs EXISTS
- SQL - Database Tuning
- SQL Function Reference
- SQL - Date Functions
- SQL - String Functions
- SQL - Aggregate Functions
- SQL - Numeric Functions
- SQL - Text & Image Functions
- SQL - Statistical Functions
- SQL - Logical Functions
- SQL - Cursor Functions
- SQL - JSON Functions
- SQL - Conversion Functions
- SQL - Datatype Functions
- SQL Useful Resources
- SQL - Questions and Answers
- SQL - Quick Guide
- SQL - Useful Functions
- SQL - Useful Resources
- SQL - Discussion
SQL - @@IO_BUSY Function
The SQL @@IO_BUSY statistical function is used to retrieve the spent time by this SQL server. It returns the total spent time by this SQL server on performing the input and output operations.
Note − If the time returned by the @@IO_BUSY function exceeds around 49 days of cumulative CPU time, you may receive an arithmetic overflow warning. In that case, the value of @@CPU_BUSY, @@IO_BUSY, and @@IDLE variables are incorrect.
Syntax
Following is the syntax of the SQL @@IO_BUSY function −
@@IO_BUSY
Return type
The return type of this function is an INTEGER.
Parameters
- It does not accept any parameters.
Return value
This function returns the total spent time by this SQL server on performing the input and output operations.
Example
In the following example,we are using the SQL @@IO_BUSY function to retrieve the total time of this SQL server that has been spent performing the input and output operations.
SELECT @@IO_BUSY AS Total_spent_time;
Output
After executing the above query, it will produce the following output −
+------------------+ | Total_spent_time | +------------------+ | 43939 | +------------------+
Example
The following is another example of the SQL @@IO_BUSY function. You can also use the GETDATE() function along with this function to retrieve the total time until today of this SQL server that has been spent on performing the input and output operations.
SELECT @@IO_BUSY AS Total_spent_time, GETDATE() AS Todays_date;
Output
Following is the output of the above query −
+-----------------+-------------------------+ | Total_spent_time| Todays_date | +-----------------+-------------------------+ | 4398 | 2023-02-28 16:56:26.700 | +-----------------+-------------------------+
Example
In this example, we are using the SQL @@IO_BUSY function to retrieve the total spent time by this SQL server on performing the input and output operations.
SELECT @@IO_BUSY AS Total_spent_time, GETDATE() AS Curr_date, @@IO_BUSY *CAST(@@TIMETICKS AS float) AS Time_in_microsecond;
Output
The above SQL query produces the following output −
+------------------+-------------------------+---------------------+ | Total_spent_time | Curr_date | Time_in_microsecond | +------------------+-------------------------+---------------------+ | 44023 | 2023-02-28 16:58:43.160 | 1375718750 | +------------------+-------------------------+---------------------+