This is where fake data, otherwise known as test or dummy data comes in. Not every developer has the time to generate a tool to populate their databases or ingestion services. Highly scalable and reliable, it can receive and process millions of events per second with low latency.Įvent Hubs can be used for a number of different scenarios, such as: Event HubsĪzure Event Hubs, a Platform-as-a-Service offering, is a big data streaming platform and event ingestion service. Event Hub Data Generator (EHDG) is here to make simplify this process and allow the developer to work on the later parts of the pipeline sooner. Even if they had access to real data they could stream, real data is often messy – requiring endless cleaning. Setting up this stream of hot data, particularly data that is useful for your use case, can be a tedious and lengthy process. For instance, if someone is trying to demonstrate streaming data sets in PowerBI, they likely need to set up a stream analytics job, and in order for them to set up a stream analytics job, they need data in particular hot data. The purpose is to remove the pain of initial set up that is faced by many developers. Specify the number of entries to generate.Event Hub Data Generator (EHDG) is a tool which generates realistic fake data based on a provided schema and sends it to Azure Event Hubs. From the menu, select Custom, then select the newly created generator. In a text file or a text block, press Alt+Insert. For example, if a single entry generated by the expression is a JSON object, these settings will combine such objects into a higher level structure (for instance, an array). These will apply to each expression result, when multiple entries are generated. Within the expression, you can use any of the predefined variables as well as custom dictionaries and regular expressions that have been assigned a variable name. It will be used to generate individual entries. ![]() Once you have one, you can skip the configuration step.Īdd a new generator, give it a name, and select Multiple for the type. The steps below cover the full procedure that includes creating a template. In order to generate multiple entries, you have to create a custom template. The Test Data plugin allows you to create a custom generator that handles bulk data generation and custom formats. If you need to generate multiple entries in a specific format, that's also possible. You can use them to generate literals just like with the predefined generators. Otherwise, you may leave this field blank.Īfter you have specified a custom dictionary or a regex, they appear in the Generate menu under Custom. You can later use this name to refer to this dictionary. If you want to use this regex in a complex generator, for example to generate massive amounts of data in an arbitrary format, specify the Variable name. You can preview an example of the generator output in the Result tab. Specify a regex for test data generationĪdd a new generator, give it a name, and select Regex for the type.Įnter the regular expression in the Expression field. To use them, you have to create a regex-based generator. The Test Data plugin also supports regular expressions. Otherwise, you may leave this field blank. If you want to use this dictionary in a complex generator, for example to generate massive amounts of data in an arbitrary format, specify the Variable name. ![]() Specify the dictionary entries in the Expression field. From the menu, select Custom, then Configure Custom Data Generators.Īdd a new generator, give it a name, and select Dictionary for the type. ![]() In addition to predefined dictionaries, you can use a custom one. The generated literal appears at the caret.įrom the menu, select the type of data that you want to generate. Place the caret where you want to generate a literal and press Alt+Insert. To use the tools covered in this section, make sure that the Test Data plugin is installed and enabled. You can quickly insert a single entry or use more advanced options to generate massive files in CSV, JSON, or any other custom format. This might be names, dates, email addresses, hostnames and so on. Some tests rely on test data, and IntelliJ IDEA can generate this data for you.
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