Big Data trends have developers working with XML alongside other data protocols such as JSON and Apache Avro, and XMLSpy supports both of these with dedicated editing views and functionality.
Let’s see how specialized Avro support in XMLSpy makes visualizing and searching Avro files, as well as editing Avro schemas, uniquely easy. We’ll also look at some of the advantages of utilizing RaptorXML Server for high-performance Avro processing.
Nothing’s more frustrating than getting unintended results from an XSLT or XQuery transformation and having to spend hours tracking down the issue – especially if you’ve inherited the project from another developer or haven’t looked at the code in a few months. Of course, XMLSpy has long included an XSLT debugger and XQuery debugger for setting break points and stepping through transformations to identify problems.
For a more interactive debugging process, XMLSpy also includes XSLT/XQuery back-mapping.
With back-mapping enabled, you can simply click on or hover over the portion of your output document you want to zero in on, and XMLSpy will immediately highlight the source XML and XSLT or XQuery instruction that is responsible. Let’s see how it works.
The latest release of Altova desktop developer tools, server software, and regulatory solutions introduces a host of productivity-boosting features across the product line, as well as updated support for standards, databases, and integration with popular IDEs.
Let’s take a look at the highlights.
The ability to diff and merge files is a necessity for every developer. This can be especially troublesome when trying to compare differences between files containing structured data, such as XML.
The video tutorial below provides an explanation on how to compare XML files – and more – using both XMLSpy and DiffDog. These powerful utilities perform diff and merge operations in an XML-aware manner, which reduces the number of false positives seen when comparing files.
The advantages of JSON as a lightweight, interoperable data format have secured its place as a favored mechanism for serializing and transporting data on the web. However, most applications still benefit from or require validation of client-submitted data. Enter the JSON Schema spec, which lets you describe the structure of JSON data for a particular application, for both documentation and validation purposes.
Though JSON Schema code is by design human-readable, building a complex schema with nested and repeating sections in a text-only editor becomes time consuming and error-prone quickly. Let’s look at five ways a graphical editor is a must-have for JSON Schema development.
XMLSpy is known for its graphical editing views, which make working with and editing XML and JSON more straightforward – and therefore increase developer productivity.
Both XML Grid and JSON Grid have received major updates in recent releases, and we’re committed to making these graphical views as feature-rich and effective as possible through continuous improvement. As such, we rely on and appreciate feature requests and developer feedback. The latest release of XMLSpy provides some great updates in response to this input.
I was recently talking with one of our Support Engineers about common questions he receives from customers. One that comes up a lot is schema generation, specifically, “How can I generate an XSD from XML?” The answer, of course, is to use your favorite XML editor. XMLSpy will generate a valid XSD from a DTD, a relational database structure, a JSON Schema, and of course, an XML instance.
But what many customers are surprised to learn is that the XML editor will also create an XML Schema based on a group of related XML files – and this is a common requirement. Let’s take a look at how it works.
