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Exception in thread "main" - java.lang.NoClassDefFoundError

By : user2174753
Date : October 17 2020, 08:10 AM
it helps some times If you are using Maven project, then in your pom.xml file, add latest version of guava library.
code :
<!-- https://mvnrepository.com/artifact/com.google.guava/guava -->

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"Exception in thread "main" java.lang.NoClassDefFoundError: org/hamcrest/SelfDescribing"

By : Jorge C Villarreal
Date : March 29 2020, 07:55 AM
To fix this issue From Junit Wiki

Facing "Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/commons/io" in command

By : user3763992
Date : March 29 2020, 07:55 AM
like below fixes the issue In this case, you need to use the same -cp option when you run the class as when you compiled it.
code :
java -cp ".;C:\path for the folder\WEB-INF\lib\commons-io-2.0.1.jar" \

Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/commons/lang/builder/CompareToBuilder

By : Ron Ortizano Gallego
Date : March 29 2020, 07:55 AM
Hope this helps UCanAccess uses Jackcess, and Jackcess uses commons-lang (v2.x), not commons-lang3. All of the required dependencies for UCanAccess are included in the lib folder of the UCanAccess distribution (.bin.zip file).

Running java program error "exception in thread "main" java.lang.NoClassDefFoundError: Driver"

By : vivi
Date : March 29 2020, 07:55 AM
I wish this helpful for you When you run java, you must provide it with one class to run, not three. That class will have its main method executed. You must run java from the root directory of where your classes are compiled, and you must use the fully-qualified class name (i.e. including packages).
For example, if you had a source folder src with a source file ./a/b/C.java in it, the class would be compiled in src/a/b/C.class. You would then make sure you're in the src and run java a.b.C.

Why does a Spark application fail with "Exception in thread "main" java.lang.NoClassDefFoundError" i

By : Shiela Marie Barbace
Date : March 29 2020, 07:55 AM
help you fix your problem "Spark version 1.4.1"?! That's old. Unless you know what you're doing, please upgrade to the latest in 1.x release chain or 2.3.0 if possible.
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