![]() ![]() ![]() Ģ) Create a directory on HDFS for the jars accessible to the applicationĤ) For a large cluster, increase the replication count of the Spark archive Jar cv0f spark-libs.jar -C $SPARK_HOME/jars/. Use the configuration option and set that to the location of an archive (you create on HDFS) containing all the JARs in the $SPARK_HOME/jars/ folder, at the root level of the archive. I have spent a fair bit of time on this and I recommend that you follow this procedure to make sure that the spark-submit job runs ok. In Yarn mode, it is important that Spark jar files are available throughout the Spark cluster. Spark-shell -driver-class-path /path/to/example.jar:/path/to/another.jar Options on spark-shell are similar to spark-submit hence you can use the options specified above to add one or multiple jars to spark-shell classpath. Sometimes you may need to add a jar to only Spark driver, you can do this by using -driver-class-path or -conf This takes the high priority among other configs. On windows, the jar file names should be separated with comma (,) instead of colon (:) 2.4 Using SparkConf properties ![]()
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May 2023
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