DataGear 4.7.0 released, data visualization analysis platform

DataGear 4.7.0 is released, serious vulnerabilities and BUGs are fixed, the specific update content is as follows:

New: The HTTP data set has added [encoded request address] support, which can be used to solve the problem of Chinese garbled request addresses;
New: Added support for data source password encrypted storage (the schemaPsd.crypto.enabled configuration item needs to be set to enable it);
New: Data source protection adds user name and connection attribute protection support to protect data source URL remote code execution vulnerabilities;
New: Added disableShowAnonymous system configuration item, which can be configured to disable anonymous users from displaying charts/boards;
Repair: Fixed the bug that the compressed package encoding setting on the Kanban import page does not work;
Fix: Fixed the security issue of remote code execution vulnerability in parameterized data sets;
Repair: Fixed the bug that data source related functions did not correctly release and close expired connections;
Repair: Fixed the bug that changing the encryption configuration of the dashboard sharing password would cause errors in related functions;
Fix: Fixed the bug that the SQL workbench sometimes failed to clear the expired SQL history;
Fix: Fixed the bug that sometimes a read-only connection error would be reported when importing JSON row array data from the data source;
Fix: Fixed a bug in which the data source export operation may cause errors to be reported in other subsequent operations of the same data source;
Repair: Fixed the bug that the data source driver management sometimes cannot delete the driver library file;
Improvement: A prompt message is given when inserting a chart without permission on the Kanban editing page;
Improvement: Dataset parameter/property names do not allow duplicate names that ignore case to enhance database compatibility;
Improvement: The data set cache ignores data containing too many entries to avoid occupying too much memory;
Improvement: The data source editing page no longer loads and displays the connection password to enhance security;
Improvement: The connection properties of the data source editing page are changed to pop-up editing mode;
Improvement: The board sharing settings page no longer loads and displays the sharing password to enhance security;
Improvement: The password reset page no longer displays the server user home directory information to enhance security;
Improvement: After successful login, you will automatically jump to the access link before login instead of always the homepage;
Improvement: The role management page displays the ID column to facilitate application configuration reference;
Improvement: The name of the system home directory configuration item is changed from DATAGEAR_WORKSPACE to DATAGEAR_HOME;
Improvement: Restructure the chart plug-in loading strategy to greatly shorten the system startup time;
Improvement: Improve the system startup script and support starting the system in other directories;
Improvement: The system cache configuration is changed to the standardized SpringBoot cache configuration method;
Improvement: The chart support library ECharts version has been upgraded from 5.4.2 to 5.4.3;
Improvement: The Kanban support library jQuery version has been upgraded from 3.6.0 to 3.7.1;
Improvement: The system SpringBoot version is upgraded from 2.7.11 to 2.7.16;
Improvement: The source code Maven dependency library clearly specifies the version number to avoid compilation errors in different environments;

In addition, DataGear Professional Edition 1.0.0 has also been officially released, welcome to try it!

DataGear is an open source and free data visualization analysis platform that allows you to freely create any data visualization dashboard you want.

System Features:

Friendly access data sources

Supports runtime access to any database that provides JDBC driver, including relational databases such as MySQL, Oracle, PostgreSQL, SQL Server, etc., as well as big data engines such as Elasticsearch, ClickHouse, Hive, etc.

Diverse and dynamic data sets

Supports the creation of SQL, CSV, Excel, HTTP interface, and JSON data sets, and can be set as dynamic parameterized data sets. Data set parameters of text boxes, drop-down boxes, date boxes, time boxes, etc. can be defined to flexibly filter to meet different needs. Data required by business

Powerful and rich data charts

Data charts can aggregate and bind multiple data sets in different formats, and easily define year-on-year and month-on-month charts. It has built-in line charts, bar charts, pie charts, maps, radar charts, funnel charts, scatter charts, K-line charts, and Sankey charts. Wait for 70+ out-of-the-box charts, support custom chart configuration items, and support writing and uploading custom chart plug-ins.

Free and open data dashboard

Data Kanban uses native HTML web pages as templates, supports importing any HTML web pages, supports visual design and editing of Kanban boards, and also supports free editing of Kanban source code using web front-end technologies such as JavaScript and CSS. It has built-in rich APIs and can create chart linkages. , data drilling, asynchronous loading, interactive forms and other personalized data dashboards

Official website address: http://www.datagear.tech

Source code address:

Gitee：https://gitee.com/datagear/datagear

Github：https://github.com/datageartech/datagear