![]() In the following examples, we use a test table, named customers. Generating custom SQL test data from a JSON fileĬonnecting to SQL Server with ApexSQL Generator Generating custom SQL test data from a txt file ![]() In the following sections, we will complete two examples ![]() Modules option helps to indicate external modules path which is used in the custom Python code Modules – The Python modules can be described as code libraries which allow using particular classes and functions repeatedly. Load – Imports the py files which are written in the Python At first, we will take a glance at the properties of the IronPython generator.Ĭustom Python code box– Allows editing the custom Python codesĮxecute – Allows running the custom Python codes So, we obtain a powerful SQL test data generation capabilities. At the same time, we can combine fantastic features of the ApexSQL Generate (Loop, Shuffle, etc.) with Python resultsets during the SQL test data generation proceedings. We can use the resultset of these Python codes as test data in ApexSQL Generate. IronPython generator allows us to execute the custom Python codes so that we can gain advanced SQL Server test data customization ability. NET CLR and Mono hence it can solve various issues in many areas. IronPython is an open-source implementation of Python for the. Under these circumstances, ApexSQL Generate offers various data generator solutions but in this article, we will learn the usage of the IronPython generator and reinforce it with examples. ![]() In some cases, we might require different test data patterns whereas predefined and conventional ones may not meet our needs. SQL test data generation tasks can sometimes be more complex and difficult than we might expect. With the help of the IronPython generator in ApexSQL Generate, we can overcome pretty ![]()
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