- 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 - TRY_PARSE() Function
The SQL TRY_PARSE() function returns a result of an expression that has been converted to the specified data type, or NULL if the conversion is unsuccessful. It functions essentially the same as the PARSE() function, with the exception that if the cast fails, it returns NULL rather than an error. The goals of both functions are to convert string values into date/time or numeric types.
Syntax
Following is the syntax of the SQL TRY_PARSE() function −
TRY_PARSE ( string_value AS data_type [ USING culture ] )
Parameters
This function accepts only three parameter. The same is described below −
string_value − It is the expression that we want to change to a specific data type.
data_type − It is the datatype that we want to convert the string_value.
culture − It is an optional parameter for which the cukture of string value is formatted..
Example
In the following example, we are going to use the TRY_PARSE() function to convert sytring to date by using the following query −
SELECT TRY_PARSE('23 February 2023' AS date) AS Result;
Output
When we execute the above query, the output is obtained as follows −
+------------------------------------+ | Result| +------------------------------------+ | 2023-02-23 | +------------------------------------+
Example
Let's look into following example, where we are going to conver string '-1234' to int by using the following query −
SELECT TRY_PARSE('-1234' AS INT) AS Result;
Output
When we execute the above query, the output is obtained as follows −
+------------------------------------+ | Result| +------------------------------------+ | -1234 | +------------------------------------+
Example
Let's look into the following query, that returns NULL value as it was failed to convert string 'TUTORIALSPOINT' to int −
SELECT TRY_PARSE('TUTORIALSPOINT' AS INT) AS Result;
Output
On executing the above query, the output is displayed as follows −
+------------------------------------+ | Result| +------------------------------------+ | NULL | +------------------------------------+
Example
Considering the following example, where we are going to use TRY_PARESE() fuction along with case and running the following query −
SELECT CASE WHEN TRY_PARSE('TUTORIALSPOINT' AS decimal USING 'lv-LV') IS NULL THEN 'True' ELSE 'False' END AS Result;
Output
On executing the above query, the output is displayed as follows −
+-------------------+ | Result | +-------------------+ | True | +-------------------+
Example
Let's look into the following example, where we are going convert string to datetime by running the following query −
SELECT TRY_PARSE('02/23/2023' AS DATETIME) AS Result;
Output
The output for the above query is produced as given below −
+------------------------------------+ | Result| +------------------------------------+ | 2023-02-23 00:00:00.000 | +------------------------------------+
Example
let's look into the another scenario, where we are going to convert string into datetime2 by using the following query −
SELECT TRY_PARSE('02/23/2023' AS datetime2) AS Result;
Output
On executing the above query, it will generate the following output as shown below −
+------------------------------------+ | Result| +------------------------------------+ | 2023-02-23 00:00:00.0000000 | +------------------------------------+
Example
Let's look into the following example where we are going to convert string to decimal by using the following query −
SELECT TRY_PARSE('1234' AS DECIMAL(8, 2)) AS Result;
Output
If we compile and run the above query, the result is produced as follows −
+------------------------------------+ | Result| +------------------------------------+ | 1234.00 | +------------------------------------+
Example
Letâs consider another example, where we are going to use the IFF statements to handle NULL values. This will be helpful when we are going to insert records. In our case, we are checking and replacing it with the current date and time by using the following query −
SELECT IIF( TRY_PARSE('TUTORIALSPOINT' AS DATETIME) IS NULL, GETDATE(), 'False' ) AS Result;
Output
When the query gets executed, it will generate the output as shown below −
+------------------------------------+ | Result| +------------------------------------+ | 2023-02-23 16:51:18.780 | +------------------------------------+
Example
Considering the following example, where we are going to use try_parse along with cultural parameters by using the following query −
DECLARE @date AS VARCHAR(10) SET @date = '23/02/2023' SELECT TRY_PARSE(@date AS DATE USING 'da-DK') AS inDanish;
Output
When we execute the above query, the output is obtained as follows −
+-------------------+ | inDanish | +-------------------+ | 2023-02-23 | +-------------------+