![]() ![]() ![]() With the cross join you can generate a total combination of 341,658,256 users for your tests. We will use a cross join to generate all the possible combinations of names and last names. In the first example, we will use the DimCustomer table from the AdventureWorksDW database mentioned in the requirements. Adventure Works 2014 Full and Adventure Works DW 2014 databases.In this article, we will teach how to generate up to a million rows of random data in SQL Server including:Ĭombinations of user names and last names In general, random data is very useful for testing purposes, to learn about query efficiency, demos and more. In this article, we will give you some useful T-SQL tips that may help or at least inspire you on this. That is why, it is very important to generate data and test the software with millions of rows. If the provider had tested the software with millions of rows, this problem would have never happened. We assume these large language models, prompts, and orchestration systems aren’t perfect, and see the responses generated by them as a candidate response that should include the right information for an end user to validate. The customer sued to the software provider and lawyers were needed to create a resolution. The problem was not SQL Server, the problem was the application, which was not designed for tables with millions of rows. I once had a customer with software that worked fine in the demo with 30 rows, but after some months, the software had more than a million rows and it became very slow. In this article, we will talk about generating random values for testing purposes. ![]()
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