Posts

How to Debug XSLT and XQuery


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. However, the debugging process just got even more interactive and precise with the introduction of 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.

Debug XSLT with back-mapping

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New XSLT Back-mapping Headlines Altova Release


It’s time for the latest release of Altova desktop developer tools and server software products, and this one introduces numerous innovative features across the product line, including a brand-new version of MapForce Server called MapForce Server Accelerator Edition for even faster processing of data integration jobs.

Let’s take a look at the highlights of Version 2017 Release 3.

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The Only JSON Dev Tool You’ll Need


The popularity of JSON is ever-increasing, and XMLSpy is keeping pace. Over the past few product releases, we’ve added intelligent functionality for editing and converting JSON data to the product. Most recently, we’ve completed the circle with one-click conversion between XML Schemas and JSON Schemas, as well as sample instance generation and JSON Schema documentation generation.

Let’s walk through some common examples demonstrating this functionality – and see how these time-saving tools make XMLSpy the only JSON development tool you’ll need.

JSON Dev Tools

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JSON Data Mapping and Transformation with MapForce


JSON is a popular format for transferring data between systems thanks to its simple markup, small footprint, and heritage based on the JavaScript programming language. MapForce supports JSON as both an input and output format for JSON data mapping and transformation. For instance, MapForce can extract information from any popular database and produce a JSON file ready for transfer.
The Requirement: Here is an example of a typical need for JSON data mapping: A manufacturing company controls costs by exploiting a just-in-time assembly process with very little parts inventory on hand. New customer orders are logged in a sales database, and at the end of every day the components needed to assemble that day’s sales are tabulated via a query into the database. The required parts will be ordered from suppliers via a purchase order transferred in JSON format.

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Working with Avro Big Data in Your Favorite XML Editor


With every release, we add support in XMLSpy for technologies that developers encounter everyday – even when they’re not XML-based.

Today, 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.

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XML Editor Text View Gets a Big Update


Starting with Version 2017, XMLSpy developers will have access to some new, time-saving productivity tools in their favorite XML editor, including a modernized  Find/Replace dialog, an easy way to select all occurrences of a particular string, and a shortcut for finding a parent element.

I was amazed how much time and effort these new tools saved me right away – let’s take a look, and I’ll show you how.

News about XML find / replace

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Big Data, Database, and XBRL Tools Get a Huge Boost


It’s time for the latest release of Altova’s MissionKit and server software products, and this one delivers a huge boost in functionality for working with big data, databases, XBRL, and much more.

With support for Apache Avro in multiple products, additional databases and drivers across the product line, and two new XBRL specifications in developer and server products, plus a new way to build and process PDF forms, Version 2017 connects all the data dots.

What will be your favorite new feature? Let’s take a look.

Big Data Support

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