![]() Specifying full path for all additional jars works. Spark will share those jars (comma-separated) with the executors. Similarly, how do I submit multiple jars in spark? Just use the - jars parameter. The URL must be globally visible inside of your cluster, for instance, an hdfs:// path or a file:// path that is present on all nodes. jar file in Spark?Īpplication- jar: Path to a bundled jar including your application and all dependencies. This is why, when you want to create a Spark application, you package it in a jar file, and you pass in that jar file as a parameter to the spark-submit command in order to run your job in the cluster. In JVM languages, the jar file is the primary way in which to package code.
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