带有组装jar的spark-cassandra-connector的NoSuchMethodError

时间:2016-01-06 20:19:26

标签: scala apache-spark sbt spark-cassandra-connector

我对Scala很新,我正在尝试构建Spark工作。我已经构建了一个包含DataStax连接器的ajob并将其组装成一个胖罐。当我尝试执行它时失败并显示java.lang.NoSuchMethodError。我已经破解了JAR并且可以看到包含DataStax库。我错过了一些明显的东西吗有关这个过程的好教程吗?

由于

控制台     $ spark-submit --class org.bobbrez.CasCountJob ./target/scala-2.11/bobbrez-spark-assembly-0.0.1.jar ks tn     ...     线程“main”中的异常java.lang.NoSuchMethodError:scala.runtime.ObjectRef.zero()Lscala / runtime / ObjectRef;         at com.datastax.spark.connector.cql.CassandraConnector $ .com $ datastax $ spark $ connector $ cql $ CassandraConnector $$ createSession(CassandraConnector.scala)         在com.datastax.spark.connector.cql.CassandraConnector $$ anonfun $ 2.apply(CassandraConnector.scala:148)         ...

build.sbt

name := "soofa-spark"

version := "0.0.1"

scalaVersion := "2.11.7"

// additional libraries
libraryDependencies += "org.apache.spark" %% "spark-core" % "1.6.0" %     "provided"
libraryDependencies += "com.datastax.spark" %% "spark-cassandra-connector" % "1.5.0-M3"
libraryDependencies += "com.typesafe" % "config" % "1.3.0"

mergeStrategy in assembly <<= (mergeStrategy in assembly) { (old) =>
  {
    case m if m.toLowerCase.endsWith("manifest.mf") => MergeStrategy.discard
    case m if m.startsWith("META-INF") => MergeStrategy.discard
    case PathList("javax", "servlet", xs @ _*) => MergeStrategy.first
    case PathList("org", "apache", xs @ _*) => MergeStrategy.first
    case PathList("org", "jboss", xs @ _*) => MergeStrategy.first
    case "about.html"  => MergeStrategy.rename
    case "reference.conf" => MergeStrategy.concat
    case _ => MergeStrategy.first
  }
}

CasCountJob.scala

package org.bobbrez

// Spark
import org.apache.spark.{SparkContext, SparkConf}
import com.datastax.spark.connector._

object CasCountJob {
  private val AppName = "CasCountJob"

  def main(args: Array[String]) {
    println("Hello world from " + AppName)

    val keyspace = args(0)
    val tablename = args(1)

    println("Keyspace: " + keyspace)
    println("Table: " + tablename)

    // Configure and create a Scala Spark Context.
    val conf = new SparkConf(true)
                .set("spark.cassandra.connection.host", "HOSTNAME")
                .set("spark.cassandra.auth.username",  "USERNAME")
                .set("spark.cassandra.auth.password",  "PASSWORD")
                .setAppName(AppName)

    val sc = new SparkContext(conf)

    val rdd = sc.cassandraTable(keyspace, tablename)
    println("Table Count: " + rdd.count)

    System.exit(0)
  }
}

1 个答案:

答案 0 :(得分:5)

Spark 1.6的Cassandra连接器仍在开发中,尚未发布。

对于将Cassandra与Spark集成,您至少需要以下依赖项: -

  1. Spark-Cassandra连接器 - 从here
  2. 下载相应的版本
  3. Cassandra Core驱动程序 - 从here
  4. 下载相应的版本
  5. Spark-Cassandra Java库 - 从here
  6. 下载相应的版本
  7. 其他相关的Jars - jodatimejodatime-convertjsr166
  8. 提到适当版本的Cassandra Libraries和Spark的映射here

    显然,Spark 1.5的Cassandra连接器也在开发中,您可能会看到一些兼容性问题。 Cassandra连接器最稳定的版本适用于Spark 1.4,需要使用以下Jar文件: -

    1. Spark-Cassandra connector
    2. Cassandra Core driver
    3. Spark-Cassandra Java library
    4. 其他相关的Jars - jodatimejodatime-convertjsr166
    5. 不用说,所有这些jar文件都应该被配置并可供执行者使用。