i  want to avoid Uploading resource file (especially jar package),because them very big,the application will wait for too long,there are good method??
so i config that para, but not get the my want to effect。


------------------ 原始邮件 ------------------
发件人: "Yash Sharma";<yash360@gmail.com>;
发送时间: 2016年6月22日(星期三) 下午2:34
收件人: "另一片天"<958943172@qq.com>;
抄送: "Saisai Shao"<sai.sai.shao@gmail.com>; "user"<user@spark.apache.org>;
主题: Re: Could not find or load main class org.apache.spark.deploy.yarn.ExecutorLauncher

Try with : --master yarn-cluster

On Wed, Jun 22, 2016 at 4:30 PM, 另一片天 <958943172@qq.com> wrote:
./bin/spark-submit --class org.apache.spark.examples.SparkPi --master yarn-client --driver-memory 512m --num-executors 2 --executor-memory 512m --executor-cores 2   hdfs://master:9000/user/shihj/spark_lib/spark-examples-1.6.1-hadoop2.6.0.jar 10
Warning: Skip remote jar hdfs://master:9000/user/shihj/spark_lib/spark-examples-1.6.1-hadoop2.6.0.jar.
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)



------------------ 原始邮件 ------------------
发件人: "Yash Sharma";<yash360@gmail.com>;
发送时间: 2016年6月22日(星期三) 下午2:28
收件人: "另一片天"<958943172@qq.com>;
抄送: "Saisai Shao"<sai.sai.shao@gmail.com>; "user"<user@spark.apache.org>;
主题: Re: Could not find or load main class org.apache.spark.deploy.yarn.ExecutorLauncher

Or better , try the master as yarn-cluster,

./bin/spark-submit \
--class org.apache.spark.examples.SparkPi \
--master yarn-cluster \
--driver-memory 512m \
--num-executors 2 \
--executor-memory 512m \
--executor-cores 2 \
hdfs://master:9000/user/shihj/spark_lib/spark-examples-1.6.1-hadoop2.6.0.jar

On Wed, Jun 22, 2016 at 4:27 PM, 另一片天 <958943172@qq.com> wrote:
Is it able to run on local mode ?

what mean?? standalone mode ?


------------------ 原始邮件 ------------------
发件人: "Yash Sharma";<yash360@gmail.com>;
发送时间: 2016年6月22日(星期三) 下午2:18
收件人: "Saisai Shao"<sai.sai.shao@gmail.com>;
抄送: "另一片天"<958943172@qq.com>; "user"<user@spark.apache.org>;
主题: Re: Could not find or load main class org.apache.spark.deploy.yarn.ExecutorLauncher

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.shao@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 <958943172@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";<yash360@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"<958943172@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 <958943172@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)??