I'm building a java application with Spark framework with embedded Jetty and handlebars template engine. But when i get an 500 Internal Error, the console didn't say anything. I have added to my pom.xml the dependencies here: http://sparkjava.com/documentation.html#add-a-logger but does not print all exceptions / errors (like errors 500)
Here my pom.xml dependecies
<dependencies>
<!-- FRAMEWORK: Spark -->
<dependency>
<groupId>com.sparkjava</groupId>
<artifactId>spark-core</artifactId>
<version>2.5</version>
</dependency>
<!-- TEMPLATES: Handlebars -->
<dependency>
<groupId>com.sparkjava</groupId>
<artifactId>spark-template-handlebars</artifactId>
<version>2.3</version>
</dependency>
<!-- DB-MAPPING: sql2o -->
<dependency>
<groupId>org.sql2o</groupId>
<artifactId>sql2o</artifactId>
<version>1.5.4</version>
</dependency>
<!-- DRIVERS: sqlite-->
<dependency>
<groupId>org.xerial</groupId>
<artifactId>sqlite-jdbc</artifactId>
<version>3.8.11.2</version>
</dependency>
<!-- LOGGER: slf4j -->
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-simple</artifactId>
<version>1.7.21</version>
</dependency>
</dependencies>
How i can enable all the logging for spark?
What is Spark Java? Spark is a Java micro framework that allows to quickly create web applications in Java 8. Spark is a lightweight and simple Java web framework designed for quick development. Sinatra, a popular Ruby micro framework, was the inspiration for it.
When running a Spark application from within sbt using run task, you can use the following build.sbt to configure logging levels: With the above configuration log4j.properties file should be on CLASSPATH which can be in src/main/resources directory (that is included in CLASSPATH by default).
Building a robust logging system within our apps could be use as a great insights of the business problems we are solving. Spark uses log4j as the standard library for its own logging. Everything that happens inside Spark gets logged to the shell console and to the configured underlying storage.
Spark Framework - Create web applications in Java rapidly. Spark is a micro web framework that lets you focus on writing your code, not boilerplate code. Download Docs Tutorials News Contact Getting Started Stopping the Server Routes Route unmapping Path Groups Request Response Query Maps Cookies Sessions Halting Filters Redirects Error Handling
To enable logging, just add the following dependency to your project:
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-simple</artifactId>
<version>1.7.21</version>
</dependency>
and you can register a catch-all Spark exception handler to log uncaught exceptions:
Spark.exception(Exception.class, (exception, request, response) -> {
exception.printStackTrace();
});
Use log4j to make a logging implementation. That's why you don't have an idea why are you getting an internal server error
http://logging.apache.org/log4j/2.x/
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