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Spark - separating dependecies of spark and application

Explorer

Hello,
I struggle on a dependency issues in spark, now. Being new in spark, I hope there is a simple remedy.
The question is, is there any mechanism how to separate dependencies of the spark engine and dependencies of a application.

 

Example: The latest version of spark-core_2.12 (3.1.1, March 2021) depends on
hadoop-client (3.3.0, March 2020) which itself depends on hadoop-common (3.3.0, July 2020)
which finally depends on an antient version of gson (2.2.4, May 2013).

You can easily find many other examples, e.g. commons-codec, protobuf-java ...

 

So, what if your application, basically a library developed outside spark, depends on the latest (no longer compatible) version of gson 2.8.6?

My obviously naive approach to start a spark application ends in runtime incompatibility clashes (e.g. with gson)

 

Best regards
Jaro

1 ACCEPTED SOLUTION

Accepted Solutions

Cloudera Employee

Hello,

 

You can solve this by using the Maven shade plugin. Take a look at the Cloudera doc https://docs.cloudera.com/runtime/7.2.9/developing-spark-applications/topics/spark-packaging-differe... .

 

Michael

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2 REPLIES 2

Cloudera Employee

Hello,

 

You can solve this by using the Maven shade plugin. Take a look at the Cloudera doc https://docs.cloudera.com/runtime/7.2.9/developing-spark-applications/topics/spark-packaging-differe... .

 

Michael

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Community Manager

Hi @Jarinek,

Did the reply from @mridley resolve your issue? If so, please mark the reply as the solution, as it will make it easier for others to find the answer in the future. 

Screen Shot 2019-08-06 at 1.54.47 PM.png

 

 


Cy Jervis, Manager, Community Program
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