I am trying to write a Spark batch job. I want to package it to a jar and use it with spark submit. My program works perfectly in spark-shell, however I get the following error when I try to run it with spark submit:
Exception in thread "main" java.lang.NoSuchMethodError: scala.Predef$.$conforms()Lscala/Predef$$less$colon$less;
at HBaseBulkload$.saveAsHFile(ThereInLocationGivenTimeInterval.scala:103)
at HBaseBulkload$.toHBaseBulk(ThereInLocationGivenTimeInterval.scala:178)
at ThereInLocationGivenTimeInterval$.main(ThereInLocationGivenTimeInterval.scala:241)
at ThereInLocationGivenTimeInterval.main(ThereInLocationGivenTimeInterval.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
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)
According to this answer the problem originates from version incompatibility. I also found this, but my spark version is 1.6.0 Here is my .sbt file for the project:
name := "HbaseBulkLoad"
version := "1.0"
scalaVersion := "2.10.5"
resolvers += "Cloudera Repository" at "https://repository.cloudera.com/artifactory/cloudera-repos/"
libraryDependencies += "org.apache.spark" %% "spark-core" % "1.6.0"
//libraryDependencies += "org.apache.hbase" % "hbase-common" % "1.2.0-cdh5.9.0"
//libraryDependencies += "org.apache.hbase" % "hbase-client" % "1.2.0-cdh5.9.0"
//libraryDependencies += "org.apache.hbase" % "hbase-server" % "1.2.0-cdh5.9.0"
libraryDependencies += "org.apache.hbase" % "hbase-client" % "1.1.2"
libraryDependencies += "org.apache.hbase" % "hbase-server" % "1.1.2"
libraryDependencies += "org.apache.hbase" % "hbase-common" % "1.1.2"
My imports and the code segment that causes the error is as follows: /SimpleApp.scala/ import org.apache.spark.SparkContext import org.apache.spark.SparkContext._ import org.apache.spark.SparkConf
// HBaseBulkLoad imports
import java.util.UUID
import org.apache.hadoop.conf.Configuration
import org.apache.hadoop.fs.permission.FsPermission
import org.apache.hadoop.fs.{Path, FileSystem}
import org.apache.hadoop.hbase.{KeyValue, TableName}
import org.apache.hadoop.hbase.client._
import org.apache.hadoop.hbase.io.ImmutableBytesWritable
import org.apache.hadoop.hbase.mapreduce.{HFileOutputFormat2, LoadIncrementalHFiles}
import org.apache.hadoop.hbase.util.Bytes
import org.apache.hadoop.mapreduce.Job
import org.apache.hadoop.mapreduce.lib.partition.TotalOrderPartitioner
import org.apache.spark.rdd.RDD
import org.apache.spark.Partitioner
import org.apache.spark.storage.StorageLevel
import scala.collection.JavaConversions._
import scala.reflect.ClassTag
// Hbase admin imports
import org.apache.hadoop.hbase.{HBaseConfiguration, HTableDescriptor}
import org.apache.hadoop.hbase.client.HBaseAdmin
import org.apache.hadoop.hbase.mapreduce.TableInputFormat
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.HColumnDescriptor
import org.apache.hadoop.hbase.util.Bytes
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.client.HTable;
import java.util.Calendar
val now = Calendar.getInstance.getTimeInMillis
//val filteredRdd = myRdd.filter(...
val resultRdd= filteredRdd.map{ row => (row(0).asInstanceOf[String].getBytes(),
scala.collection.immutable.Map("batchResults" ->
Array( ( "batchResult1", ("true", now) ) )
)
)
}
println( resultRdd.count )
