Qodana 2024.1 Help

Qodana Community for JVM

official project

JVM languages

Qodana Community for JVM is based on IntelliJ IDEA Community. It brings all the smarts from IntelliJ IDEA Community, which help you:

  • detect anomalous code and probable bugs

  • eliminate dead code

  • highlight spelling problems

  • improve overall code structure

  • introduce coding best practices

  • Upload inspection results to Qodana Cloud

Supported technologies

Qodana Community for JVM provides inspections for the following technologies.

Programming languages

Java

Kotlin

Groovy

Markup languages

HTML

JSON and JSON5

RELAX NG

XML

XPath

XSLT

Build management

Ant

Gradle

Maven

Frameworks and libraries

JavaBeans

JPA

JUnit

Lombok

Reactive Streams

TestNG

Supported features

The Qodana Community for JVM linter provides the following Qodana features:

Feature

Available under the license

Baseline

Community

FlexInspect

Community

Quality gate

Community

Try it now

Analyze a project locally

To be able to run the analysis, make sure the project can be successfully built and run in the desired environment, that is, a JRE is properly configured, project dependencies are installed, build scripts or startup tasks are executed, and so on.

Qodana provides two options for local analysis of your code. Qodana CLI is the easiest option to start. Alternatively, you can use the Docker command from the Docker image tab.

Assuming that you have already installed Qodana CLI on your machine, you can run this command in the project root directory:

qodana scan \ -e QODANA_TOKEN="<cloud-project-token>" \ -l jetbrains/qodana-jvm-community:2024.1

Here, the QODANA_TOKEN variable refers to the project token.

If you omit the linter name jetbrains/qodana-jvm-community:2024.1 here, then the Qodana for JVM linter will be run instead.

To start, pull the image from Docker Hub (only necessary to get the latest version):

docker pull jetbrains/qodana-jvm-community:2024.1

Start local analysis with source-directory pointing to the root of your project and QODANA_TOKEN referring to the project token:

docker run \ -v <source-directory>/:/data/project/ \ -e QODANA_TOKEN="<cloud-project-token>" \ jetbrains/qodana-jvm-community:2024.1

In your browser, open Qodana Cloud to examine inspection results. Here, you can also reconfigure the analysis, see the Inspection report section for details.

Next steps

Last modified: 11 April 2024