Generating Random Numbers for Each Row in Various SQL Databases1 min read

Generating random numbers for each row is a common requirement in database operations, often encountered in scenarios such as data sampling, result randomization, or creating unique identifiers. This article explores techniques in different SQL databases, including SQLite, Oracle, MySQL, Microsoft SQL Server (MSSQL), and Microsoft Access, providing you with versatile options for incorporating randomness into your database operations.

SQLite:

Using RANDOM() Function:

SQLite offers the RANDOM() function to generate random float values between 0 and 1. To obtain integers within a specific range:

Oracle:

Using DBMS_RANDOM Package:

In Oracle databases, the DBMS_RANDOM package provides a robust solution for random number generation. To generate random numbers between 1000 and 9999:

MySQL:

Using RAND() Function:

MySQL’s RAND() function can be employed to generate random float values between 0 and 1. For integers within a specific range:

Microsoft SQL Server (MSSQL):

Using NEWID() and CHECKSUM() Functions:

MSSQL provides the NEWID() function for generating unique identifiers. Combining it with CHECKSUM() produces random numbers for each row:

Microsoft Access:

Using Rnd() Function:

In Microsoft Access, the Rnd() function can be utilized to generate random numbers. For integers within a specific range:

Conclusion:

Whether you are working with SQLite, Oracle, MySQL, MSSQL, or Access, each database system provides unique functions and methods for generating random numbers. By understanding the capabilities of these functions, you can seamlessly incorporate randomness into your SQL queries and enhance the flexibility of your database operations across various platforms.