Reputation: 5834
I am using spark "Spark 1.6.1-mapr-1604 " version.
My job in local mode executes successfully but when I launch same job in yarn cluster mode it throws ExceptionInInitializerError
.
Local mode command:
spark-submit --class com.ts.clustering.TrainModel \
ts-0.0.1-SNAPSHOT.jar \
-model /user/hive/warehouse/ts/clustering_model
-ip /user/hive/warehouse/ts/aidata_seq/*
-k 10 -ite 10 > app_2.log &
Yarn cluster mode:
spark-submit --queue dev --master yarn \
--deploy-mode cluster \
--class com.ts.clustering.TrainModel ts-0.0.1-SNAPSHOT.jar \
-model /user/hive/warehouse/ts/clustering_model \
-ip /user/hive/warehouse/ts/aidata_seq/* -k 10 -ite 10 > app_2.log &
-model
parameter is the output location for model to be saved.
The exception in cluster mode:
2016-08-29 17:18:46,312 WARN [task-result-getter-0] scheduler.TaskSetManager:
Lost task 0.0 in stage 0.0 (TID 0, ******************): java.lang.ExceptionInInitializerError
at com.ts.clustering.TrainModel$2.call(TrainModel.java:71)
at com.ts.clustering.TrainModel$2.call(TrainModel.java:67)
at org.apache.spark.api.java.JavaPairRDD$$anonfun$toScalaFunction$1.apply(JavaPairRDD.scala:1015)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$14.hasNext(Iterator.scala:389)
at org.apache.spark.storage.MemoryStore.unrollSafely(MemoryStore.scala:284)
Caused by: org.apache.spark.SparkException: A master URL must be set in your configuration
at org.apache.spark.SparkContext.<init>(SparkContext.scala:401)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:59)
at com.ts.clustering.TrainModel.<clinit>(TrainModel.java:35)
... 21 more
I have gone through couple of similar posts but nothing helped. Any suggestion would be great help.
Upvotes: 1
Views: 6005
Reputation: 74759
Looking at the stacktrace I could spot the following:
org.apache.spark.SparkException: A master URL must be set in your configuration
at org.apache.spark.SparkContext.(SparkContext.scala:401)
at org.apache.spark.api.java.JavaSparkContext.(JavaSparkContext.scala:59)
at com.ts.clustering.TrainModel.(TrainModel.java:35)
... 21 more
That's easy to say that you did not specify master URL yet you've started the application using --master yarn --deploy-mode cluster
.
I'm guessing that you've hardcoded the master URL to be local
or did not specify it at all. See TrainModel.java:35
.
Upvotes: 1