The XML node generates a text string and stores it in the "data" key. JSON objects are easily converted into XML and vice versa We are done with the preprocessing, now we can generate the XML file with the XML node. This way we will have Products as a root element, then several Product records, each with elements Code, Name, Line, Scale and Price. This is why we wrote Products in the "Put Output in Field" option. Note that a valid XML file must have a root element. In case you want all 16 items in one file, then they must be concatenated. If you skip this step, 16 single-item XML files will be created in the XML node. Concatenate items in a single array if you want all of them in a single XML output Next, the ItemLists node is used to create an array of elements. Take a look at the JSON structure on the right side of the screenshot. For example, the name Product.Code means that the JSON key "Product" will be created first and then the key "Code" will be created as a child. We use dot notation to define nested keys. Define a structure of the future XML file in the Set node Let's add a Set node and define some string variables as shown in the screenshot. This corresponds to the top part of the workflow. Next, let’s create a simple XML file from this data. Create a simple XML file out of SQL table The "Products" table contains information about toy car modelsĪfter configuring the database connection, fetch several records using the following SQL query: SELECT * from products In it, we provide detailed instructions on how to create a free MySQL account and import a sample database. Otherwise, refer to one of our previous articles on how to compare two datasets. If you already have some data available in SQL, go ahead and put a corresponding node (n8n supports various SQL engines via dedicated nodes). Extract data from SQLįirstly, there is an SQL node that fetches 16 random records from the database. Let's look at this workflow for exporting SQL tables to XML format. How to export SQL to XML with n8n? This simple workflow creates 2 XML files: with and without XML attributes With n8n, you no longer have to grapple with separate SQL interfaces and XML converters instead, you get an all-encompassing platform that combines both. How great it would be if there was a single conversion tool that works with all types of SQL data. Finally, MySQL has a special option in the mysqldump CLI command to export an entire SQL database or specific tables to XML format.Īs you can see, each SQL engine uses its own way of exporting to XML.PostgreSQL uses a different approach via several XML functions.MS SQL Server has a dedicated FOR XML AUTO clause.Here is an example of a very simple XML file: ĭifferent SQL engines provide their own ways of exporting SQL to XML. While a newer JSON format has gained widespread adoption in web development, XML is still used in corporate platforms or required for data transfer in regulated industries. One of the many advantages of XML is that it is both human-readable and machine-readable, accommodating both end users and systems. XML is highly adaptable, allowing for easy extensions. XML, or eXtensible Markup Language, is a widely used format for exchanging information between different platforms. Connect everything to anything with hundreds of dedicated nodes or configure a generic HTTP Request.īuild complex automations 10x faster, without fighting APIs Try n8n now What is XML? ![]() N8n is a source-available (not open-source!) flexible workflow automation platform for technical professionals who want to build complex workflows faster. This extensive tutorial aims to provide a unified, platform-independent approach to converting SQL data to XML, eliminating the need for platform-specific, esoteric SQL syntax.īut before we dive in, let's set the stage. And finally, how to present the XML data in a visually appealing way.We'll briefly touch on the different ways to submit the XML file.How to import an XML file back into an SQL table. ![]()
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