I'm trying to run it as Oozie java action and reduce env dependency. The only thing I need is Hadoop Configuration to talk to hdfs and yarn.Spark submit is a shell thing. Trying to do all from jvm.Oozie java action starts main class which inststiates SparkConf and session. It works well in local mode but throws exception when I try to run spark as yarn-clientпн, 19 марта 2018 г. в 7:16, Jacek Laskowski <email@example.com>:Hi,What's the deployment process then (if not using spark-submit)? How is the AM deployed? Why would you want to skip spark-submit?JacekOn 19 Mar 2018 00:20, "Serega Sheypak" <firstname.lastname@example.org> wrote:Hi, Is it even possible to run spark on yarn as usual java application?I've built jat using maven with spark-yarn dependency and I manually populate SparkConf with all hadoop properties.SparkContext fails to start with exception:
- Caused by: java.lang.IllegalStateException: Library directory '/hadoop/yarn/local/usercache/root/appcache/application_1521375636129_0022/container_e06_1521375636129_0022_01_000002/assembly/target/scala-2.11/jars' does not exist; make sure Spark is built.
- at org.apache.spark.launcher.CommandBuilderUtils.checkState(CommandBuilderUtils.java:260)
- at org.apache.spark.launcher.CommandBuilderUtils.findJarsDir(CommandBuilderUtils.java:359)
- at org.apache.spark.launcher.YarnCommandBuilderUtils$.findJarsDir(YarnCommandBuilderUtils.scala:38)I took a look at the code and it has some hardcodes and checks for specific files layout. I don't follow why :)Is it possible to bypass such checks?