scala – Spark应用程序抛出javax.servlet.FilterRegistration
发布时间:2020-12-16 09:30:11 所属栏目:安全 来源:网络整理
导读:我正在使用Scala在本地创建和运行Spark应用程序。 我的build.sbt: name := "SparkDemo"version := "1.0"scalaVersion := "2.10.4"libraryDependencies += "org.apache.spark" %% "spark-core" % "1.2.0" exclude("org.apache.hadoop","hadoop-client")libra
我正在使用Scala在本地创建和运行Spark应用程序。
我的build.sbt: name := "SparkDemo" version := "1.0" scalaVersion := "2.10.4" libraryDependencies += "org.apache.spark" %% "spark-core" % "1.2.0" exclude("org.apache.hadoop","hadoop-client") libraryDependencies += "org.apache.spark" % "spark-sql_2.10" % "1.2.0" libraryDependencies += "org.apache.hadoop" % "hadoop-common" % "2.6.0" excludeAll( ExclusionRule(organization = "org.eclipse.jetty")) libraryDependencies += "org.apache.hadoop" % "hadoop-mapreduce-client-core" % "2.6.0" libraryDependencies += "org.apache.hbase" % "hbase-client" % "0.98.4-hadoop2" libraryDependencies += "org.apache.hbase" % "hbase-server" % "0.98.4-hadoop2" libraryDependencies += "org.apache.hbase" % "hbase-common" % "0.98.4-hadoop2" mainClass in Compile := Some("demo.TruckEvents") 在运行时我得到异常 此处触发例外: val sc = new SparkContext("local","HBaseTest") 我正在使用IntelliJ Scala / SBT插件。 我已经看到其他人也有这个问题suggestion solution.但这是一个maven构建….我的sbt错误在这里? – 还是其他建议如何解决这个问题? 解决方法
看到我的答案类似的问题
here.类冲突是因为HBase依赖于org.mortbay.jetty,而Spark依赖于org.eclipse.jetty。我能够通过从HBase中排除org.mortbay.jetty依赖关系来解决问题。
如果您正在拉入hadoop-common,那么您可能还需要从hadoop-common中排除javax.servlet。我有一个工作的HBase / Spark设置,我的sbt依赖关系设置如下: val clouderaVersion = "cdh5.2.0" val hadoopVersion = s"2.5.0-$clouderaVersion" val hbaseVersion = s"0.98.6-$clouderaVersion" val sparkVersion = s"1.1.0-$clouderaVersion" val hadoopCommon = "org.apache.hadoop" % "hadoop-common" % hadoopVersion % "provided" excludeAll ExclusionRule(organization = "javax.servlet") val hbaseCommon = "org.apache.hbase" % "hbase-common" % hbaseVersion % "provided" val hbaseClient = "org.apache.hbase" % "hbase-client" % hbaseVersion % "provided" val hbaseProtocol = "org.apache.hbase" % "hbase-protocol" % hbaseVersion % "provided" val hbaseHadoop2Compat = "org.apache.hbase" % "hbase-hadoop2-compat" % hbaseVersion % "provided" val hbaseServer = "org.apache.hbase" % "hbase-server" % hbaseVersion % "provided" excludeAll ExclusionRule(organization = "org.mortbay.jetty") val sparkCore = "org.apache.spark" %% "spark-core" % sparkVersion % "provided" val sparkStreaming = "org.apache.spark" %% "spark-streaming" % sparkVersion % "provided" val sparkStreamingKafka = "org.apache.spark" %% "spark-streaming-kafka" % sparkVersion exclude("org.apache.spark","spark-streaming_2.10") (编辑:李大同) 【声明】本站内容均来自网络,其相关言论仅代表作者个人观点,不代表本站立场。若无意侵犯到您的权利,请及时与联系站长删除相关内容! |