Exception: Hadoop security GroupMappingServiceProvider. I have received this exception for running Spark job via Dataproc API

0 votes

I am trying to run a Spark Job on a Google Data Proc cluster and I got the following Error.

Exception in thread "main" java.lang.RuntimeException: java.lang.RuntimeException: class org.apache.hadoop.security.JniBasedUnixGroupsMapping not org.apache.hadoop.security.GroupMappingServiceProvider
    at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:2330)
    at org.apache.hadoop.security.Groups.<init>(Groups.java:108)
    at org.apache.hadoop.security.Groups.<init>(Groups.java:102)
    at org.apache.hadoop.security.Groups.getUserToGroupsMappingService(Groups.java:450)
    at org.apache.hadoop.security.UserGroupInformation.initialize(UserGroupInformation.java:310)
    at org.apache.hadoop.security.UserGroupInformation.ensureInitialized(UserGroupInformation.java:277)
    at org.apache.hadoop.security.UserGroupInformation.loginUserFromSubject(UserGroupInformation.java:833)
    at org.apache.hadoop.security.UserGroupInformation.getLoginUser(UserGroupInformation.java:803)
    at org.apache.hadoop.security.UserGroupInformation.getCurrentUser(UserGroupInformation.java:676)
    at org.apache.spark.util.Utils$$anonfun$getCurrentUserName$1.apply(Utils.scala:2430)
    at org.apache.spark.util.Utils$$anonfun$getCurrentUserName$1.apply(Utils.scala:2430)
    at scala.Option.getOrElse(Option.scala:121)
    at org.apache.spark.util.Utils$.getCurrentUserName(Utils.scala:2430)
    at org.apache.spark.SparkContext.<init>(SparkContext.scala:295)
    at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
    at com.my.package.spark.SparkModule.provideJavaSparkContext(SparkModule.java:59)
    at com.my.package.spark.SparkModule$$ModuleAdapter$ProvideJavaSparkContextProvidesAdapter.get(SparkModule$$ModuleAdapter.java:140)
    at com.my.package.spark.SparkModule$$ModuleAdapter$ProvideJavaSparkContextProvidesAdapter.get(SparkModule$$ModuleAdapter.java:101)
    at dagger.internal.Linker$SingletonBinding.get(Linker.java:364)
    at spark.Main$$InjectAdapter.get(Main$$InjectAdapter.java:65)
    at spark.Main$$InjectAdapter.get(Main$$InjectAdapter.java:23)
    at dagger.ObjectGraph$DaggerObjectGraph.get(ObjectGraph.java:272)
    at spark.Main.main(Main.java:45)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:755)
    at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
    at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119)
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.RuntimeException: class org.apache.hadoop.security.JniBasedUnixGroupsMapping not org.apache.hadoop.security.GroupMappingServiceProvider
    at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:2324)
    ... 31 more

Dataproc versions: 1.1.51 and 1.2.15

Job configuration:

Region: global 
Cluster my-cluster 
Job type: Spark
Jar files: gs://bucket/jars/spark-job.jar
Main class or jar: spark.Main
Arguments: 
Properties: 
spark.driver.extraClassPath: /path/to/google-api-client-1.20.0.jar
spark.driver.userClassPathFirst: true

I have no problem running it this way on the command line:

spark-submit --conf "spark.driver.extraClassPath=/path/to/google-api-client-1.20.0.jar" --conf "spark.driver.userClassPathFirst=true" --class spark.Main /path/to/spark-job.jar

But the UI/API does not allow you to pass both the class name and jar, so it looks like this instead:

spark-submit --conf spark.driver.extraClassPath=/path/to/google-api-client-1.20.0.jar --conf spark.driver.userClassPathFirst=true --class spark.Main --jars /tmp/1f4d5289-37af-4311-9ccc-5eee34acaf62/spark-job.jar /usr/lib/hadoop/hadoop-common.jar

I can't figure out if it is a problem with providing the extraClassPath or if the spark-job.jar and the Hadoop-common.jar are somehow conflicting.

Please help me out to solve this error.

Jun 24 in Big Data Hadoop by nitinrawat895
• 10,110 points
21 views

1 answer to this question.

0 votes

 I hope I understood your issue and this solution works,

If you wish to keep your Spark driver on, then try this.

spark.driver.userClassPathFirst=true 

You could check that

 "org.apache.spark" %% "spark-core" % SPARK_VERSION 

dependency is present and scope is defined correctly. 

When the spark-core jar is in classpath exception won't have been thrown.

answered Jun 24 by ravikiran
• 3,560 points

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