![]() Here’s what we did, in case you would like to reproduce our tests. We compared loading time and network traffic volume when processing data locally and remotely. If you enable server mode by assigning true to the remoteOperations option, the Pivot Grid sends filtering, grouping and summary calculation options to the server and waits for the processed data. Starting with DevExtreme v16.2, you can connect the Pivot Grid to a relational data source in server mode to perform filtering, grouping and summary calculation operations on the server without using OLAP or Analytic services. Mehul Harry (DevExpress) 6 October 2016 no comments In the v16.1 release, the DevExtreme JavaScript Pivot Grid has been enhanced with great enhancements like a field panel, charts integration, and layout improvements. ![]() Server side data aggregation without an OLAP cube is the technique of choice for this scenario. Configuration and use of OLAP cubes are complicated, and client-side data processing can’t easily be applied because of the limited memory and performance available to browser runtimes as well as the simple fact that large data volumes would need to be transferred to the client in the first place. ![]() In the past (prior to v16.2), a connection to an OLAP cube (an XMLA store) was the only way to use the Pivot Grid with large data sources. This post covers the DevExtreme Pivot Grid widget, which is available for jQuery, as an Angular component, ASP.NET MVC and ASP.NET Core MVC controls, and as a Knockout binding.
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I’m revisiting the topic now that IntelliJ IDEA 2016.3 has added even more support for I’ve also written before about how IntelliJ IDEA can help you write more idiomatic Java 8 code. The initial version of this, the one I gave at DevoxxUK (video), is based on my Migrating to Java 8 Tutorial. I’ve been giving a talk this year showcasing how to use IntelliJ IDEA inspections to help you refactor existing code to Java 8. |
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