Try providing the jar with the hdfs prefix. Its probably just because its not able to find the jar on all nodes.
hdfs://master:9000/user/shihj/spark_lib/spark-examples-1.6.1-hadoop2.6.0.jar Is it able to run on local mode ? On Wed, Jun 22, 2016 at 4:14 PM, Saisai Shao <sai.sai.s...@gmail.com> wrote: > spark.yarn.jar (none) The location of the Spark jar file, in case > overriding the default location is desired. By default, Spark on YARN will > use a Spark jar installed locally, but the Spark jar can also be in a > world-readable location on HDFS. This allows YARN to cache it on nodes so > that it doesn't need to be distributed each time an application runs. To > point to a jar on HDFS, for example, set this configuration to > hdfs:///some/path. > > spark.yarn.jar is used for spark run-time system jar, which is spark > assembly jar, not the application jar (example-assembly jar). So in your > case you upload the example-assembly jar into hdfs, in which spark system > jars are not packed, so ExecutorLaucher cannot be found. > > Thanks > Saisai > > On Wed, Jun 22, 2016 at 2:10 PM, 另一片天 <958943...@qq.com> wrote: > >> shihj@master:/usr/local/spark/spark-1.6.1-bin-hadoop2.6$ >> ./bin/spark-submit --class org.apache.spark.examples.SparkPi --master >> yarn-client --driver-memory 512m --num-executors 2 --executor-memory 512m >> --executor-cores 2 >> /user/shihj/spark_lib/spark-examples-1.6.1-hadoop2.6.0.jar 10 >> Warning: Local jar >> /user/shihj/spark_lib/spark-examples-1.6.1-hadoop2.6.0.jar does not exist, >> skipping. >> java.lang.ClassNotFoundException: org.apache.spark.examples.SparkPi >> at java.net.URLClassLoader.findClass(URLClassLoader.java:381) >> at java.lang.ClassLoader.loadClass(ClassLoader.java:424) >> at java.lang.ClassLoader.loadClass(ClassLoader.java:357) >> at java.lang.Class.forName0(Native Method) >> at java.lang.Class.forName(Class.java:348) >> at org.apache.spark.util.Utils$.classForName(Utils.scala:174) >> at >> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:689) >> at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181) >> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206) >> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121) >> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) >> get error at once >> ------------------ 原始邮件 ------------------ >> *发件人:* "Yash Sharma";<yash...@gmail.com>; >> *发送时间:* 2016年6月22日(星期三) 下午2:04 >> *收件人:* "另一片天"<958943...@qq.com>; >> *抄送:* "user"<user@spark.apache.org>; >> *主题:* Re: Could not find or load main class >> org.apache.spark.deploy.yarn.ExecutorLauncher >> >> How about supplying the jar directly in spark submit - >> >> ./bin/spark-submit \ >>> --class org.apache.spark.examples.SparkPi \ >>> --master yarn-client \ >>> --driver-memory 512m \ >>> --num-executors 2 \ >>> --executor-memory 512m \ >>> --executor-cores 2 \ >>> /user/shihj/spark_lib/spark-examples-1.6.1-hadoop2.6.0.jar >> >> >> On Wed, Jun 22, 2016 at 3:59 PM, 另一片天 <958943...@qq.com> wrote: >> >>> i config this para at spark-defaults.conf >>> spark.yarn.jar >>> hdfs://master:9000/user/shihj/spark_lib/spark-examples-1.6.1-hadoop2.6.0.jar >>> >>> then ./bin/spark-submit --class org.apache.spark.examples.SparkPi >>> --master yarn-client --driver-memory 512m --num-executors 2 >>> --executor-memory 512m --executor-cores 2 10: >>> >>> >>> >>> - Error: Could not find or load main class >>> org.apache.spark.deploy.yarn.ExecutorLauncher >>> >>> but i don't config that para ,there no error why???that para is only >>> avoid Uploading resource file(jar package)?? >>> >> >> >
