Exploring the Potential of Sisense Jump to Dashboard Filter Configurations
Sisense Jump to Dashboard offers a powerful way to enhance the user experience and streamline data exploration with the help of different filter configurations. By default, all the filters from the parent dashboard, measured values, and widget filters are passed and replaced in the drill dashboard. This guide explains and provides examples of how you can customize the way filters impact the drill dashboard. We'll delve into multiple filter configuration options and provide a step-by-step guide on how to implement them effectively.Using Native Javascript Date Calculations To Modify Sisense Date Filters
Sisense natively supports various types of date filter functionalities. However, there are instances where a dynamically updating date filter is desired based on dynamically changing conditions such as the current date. Such a filter may not precisely align with the filters provided in the Sisense UI. One approach to achieve this custom behavior of a dynamically updating filter is through the use of dashboard or widget scripting.Quickly Add Unique Identifier to Blox Action Buttons Without Modifying Blox Template
A customer recently had the unusual request for a method to select and distinguish, via a CSS selector used within a custom Javascript action, for a specific Blox buttons in a existing Blox widget that contained multiple identical buttons, identical in inner text and all other parameters, without adding any new lines to the Blox template to add unique identifiers.Expanding on Using Native Javascript Date Calculations To Modify Sisense Date Filters
Sisense offers native support for various types of date filter functionalities, and also allows users to create and modify dynamic filters entirely using dashboard or widget scripting. This article expands upon the code samples discussed in the previous article on this subject, showcasing additional examples. These examples further demonstrate how to leverage JavaScript date objects (which use Unix time) for advanced date filtering in Sisense. Sisense date filters typically utilize dates in standard calendar-based string date formats. To expand on the code samples shared in the previous examples which were based on a filter based on a set time period from today, and based on user comments in the previous article, three additional examples are included in the article.Update and add new Highcharts modules for use in Sisense plugins
Update and add new Highcharts modules for use in Sisense plugins The JavaScript library framework Highcharts is natively included in Sisense and is utilized in many native Sisense widgets as well as in numerous Sisense plugins. Although Sisense typically does not alter the Sisense Highcharts library version with every release, the versions of Highcharts included in Sisense may change when upgrading to a new major version release. Highcharts can load additional chart types and other types of functionality via JS module files that contain code-adding features such as additional chart types, which can be used within plugins along with additional code to create additional widget types. If a plugin utilizes a Highcharts module, you can source the module directly in the "plugin.json" file's source parameter, as shown in this example: "source": [ "HighchartModule.js", ], To determine the current Highcharts version being used in your Sisense version, you can use the "Highcharts" command in the web console while viewing any page on your Sisense server. After identifying the current Highcharts version, you can find the corresponding module hosted on the Highcharts code hosting website using the following URL format: https://code.highcharts.com/${Highcharts_Version}/modules/${module_name}.js For example: https://code.highcharts.com/6.0.4/modules/heatmap.js You can save this module and upload it to the plugin folder or replace the older module JS file simply by copying and pasting the code directly. Be sure to update the "plugin.json" file to point to the new module file if the file name has changed or if this is the first time the module is included. Simply sourcing the module file in the "plugin.json" file is sufficient to load the module into Highcharts; no further code is required to load the module.
Reducing Windows Memory Pressure by Removing unused JVM Connectors
Reducing Windows Memory Pressure by Removing unused JVM Connectors A simple technique can reduce memory pressure on Windows Sisense versions by inactivating unused JM connectors. To do this you should search for the Sisense JVM Connectors Configuration application from the Windows Start menu. After opening the Sisense JVM Connectors Configuration application simply uncheck any connectors which are not in use and press the Save button. The amount of memory saved varies depending on which connector. On average each connector uses 2GB. So if you inactivate 5 connectors, you just saved 10 GB of memory. If you need additional help, please contact Sisense Support. PLEASE NOTE: If you cannot locate the JVM as seen in the screenshot, the executable name is "usedConnectorsEditor.bat" and it should be located in the following directory C:\Program Files\Sisense\DataConnectors\JVMContainer\bin As seen in below picture.How to update style sheets in the branding folder for dashboards
In this article, we will address the issue of updates made to style sheets within a branding folder not reflecting on dashboards. Users often encounter this problem due to browser caching, which prevents the most updated CSS files from loading. This guide provides solutions to ensure your dashboard reflects the latest version of your style sheets.
