Spark job with oozie TFS FileSystem implementation error - apache-spark

Question

I am new to spark.
I need to run a spark job within oozie.
individually i am able to run the spark job but with oozie after the job is launched i am getting the following error:
017-01-12 13:51:57,696 INFO [main] org.apache.hadoop.service.AbstractService: Service org.apache.hadoop.mapreduce.v2.app.MRAppMaster failed in state INITED; cause: java.lang.UnsupportedOperationException: Not implemented by the TFS FileSystem implementation
java.lang.UnsupportedOperationException: Not implemented by the TFS FileSystem implementation
at org.apache.hadoop.fs.FileSystem.getScheme(FileSystem.java:216)
at org.apache.hadoop.fs.FileSystem.loadFileSystems(FileSystem.java:2564)
at org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:2574)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2591)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:91)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2630)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2612)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:370)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:169)
at org.apache.hadoop.mapreduce.v2.app.MRAppMaster.getFileSystem(MRAppMaster.java:497)
at org.apache.hadoop.mapreduce.v2.app.MRAppMaster.serviceInit(MRAppMaster.java:281)
at org.apache.hadoop.service.AbstractService.init(AbstractService.java:163)
at org.apache.hadoop.mapreduce.v2.app.MRAppMaster$4.run(MRAppMaster.java:1499)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1628)
at org.apache.hadoop.mapreduce.v2.app.MRAppMaster.initAndStartAppMaster(MRAppMaster.java:1496)
at org.apache.hadoop.mapreduce.v2.app.MRAppMaster.main(MRAppMaster.java:1429)
Spark version: spark-1.5.2-bin-hadoop2.6 Hadoop: hadoop-2.6.2 Hbase :
hbase-1.1.5 Oozie: oozie-4.2.0
snapshot of my pom.xml is:
<dependency>
<groupId>org.apache.zookeeper</groupId>
<artifactId>zookeeper</artifactId>
<version>3.4.8</version>
<type>pom</type>
</dependency>
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-common</artifactId>
<version>1.1.5</version>
<exclusions>
<exclusion>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-client</artifactId>
<version>1.1.5</version>
<exclusions>
<exclusion>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-server</artifactId>
<version>1.1.5</version>
<exclusions>
<exclusion>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-testing-util</artifactId>
<version>1.1.5</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.11</artifactId>
<version>1.5.2</version>
<exclusions>
<exclusion>
<artifactId>javax.servlet</artifactId>
<groupId>org.eclipse.jetty.orbit</groupId>
</exclusion>
</exclusions>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-sql_2.10 -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.11</artifactId>
<version>1.5.2</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-yarn_2.10 -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-yarn_2.11</artifactId>
<version>1.5.2</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.mongodb.mongo-hadoop/mongo-hadoop-core -->
<dependency>
<groupId>org.mongodb.mongo-hadoop</groupId>
<artifactId>mongo-hadoop-core</artifactId>
<version>1.5.2</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.hadoop/hadoop-common -->
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>2.6.2</version>
<exclusions>
<exclusion>
<artifactId>servlet-api</artifactId>
<groupId>javax.servlet</groupId>
</exclusion>
<exclusion>
<artifactId>jetty-util</artifactId>
<groupId>org.mortbay.jetty</groupId>
</exclusion>
<exclusion>
<artifactId>jsp-api</artifactId>
<groupId>javax.servlet.jsp</groupId>
</exclusion>
</exclusions>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.hadoop/hadoop-client -->
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>2.6.2</version>
<exclusions>
<exclusion>
<artifactId>jetty-util</artifactId>
<groupId>org.mortbay.jetty</groupId>
</exclusion>
</exclusions>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.hadoop/hadoop-mapreduce-client-core -->
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-mapreduce-client-core</artifactId>
<version>2.6.2</version>
</dependency>
<dependency>
<groupId>org.mongodb</groupId>
<artifactId>mongo-java-driver</artifactId>
<version>3.2.1</version>
</dependency>
<!-- hadoop dependency -->
<!-- https://mvnrepository.com/artifact/org.apache.hadoop/hadoop-core -->
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-core</artifactId>
<version>1.2.1</version>
<exclusions>
<exclusion>
<artifactId>jetty-util</artifactId>
<groupId>org.mortbay.jetty</groupId>
</exclusion>
</exclusions>
</dependency>
Till now I have searched several blogs. What i do understand from reading those blogs iis that there is some issue with the tachyon jar which is embedded in spark-assembly-1.5.2-hadoop2.6.0.jar.
I tried removing tachyon-0.5.0.jar tachyon-client-0.5.0.jar from shared library of oozie (was present under spark library) but then i started getting error:
Failing Oozie Launcher, Main class [org.apache.oozie.action.hadoop.SparkMain], main() threw exception, org.apache.spark.util.Utils$.DEFAULT_DRIVER_MEM_MB()I
java.lang.NoSuchMethodError: org.apache.spark.util.Utils$.DEFAULT_DRIVER_MEM_MB()I
Please help me debug and solve it.