scala - 为什么 Spark 应用程序以 “ClassNotFoundException: Failed to find data source: kafka” 作为带有 sbt 程序集的 uber-jar 失败？

Question

我正在尝试运行类似 StructuredKafkaWordCount 的示例.我从 Spark Structured Streaming Programming guide 开始.

我的代码是

package io.boontadata.spark.job1

import org.apache.spark.sql.SparkSession

object DirectKafkaAggregateEvents {
  val FIELD_MESSAGE_ID = 0
  val FIELD_DEVICE_ID = 1
  val FIELD_TIMESTAMP = 2
  val FIELD_CATEGORY = 3
  val FIELD_MEASURE1 = 4
  val FIELD_MEASURE2 = 5

  def main(args: Array[String]) {
    if (args.length < 3) {
      System.err.println(s"""
        |Usage: DirectKafkaAggregateEvents <brokers> <subscribeType> <topics>
        |  <brokers> is a list of one or more Kafka brokers
        |  <subscribeType> sample value: subscribe
        |  <topics> is a list of one or more kafka topics to consume from
        |
        """.stripMargin)
      System.exit(1)
    }

    val Array(bootstrapServers, subscribeType, topics) = args

    val spark = SparkSession
      .builder
      .appName("boontadata-spark-job1")
      .getOrCreate()

    import spark.implicits._

    // Create DataSet representing the stream of input lines from kafka
    val lines = spark
      .readStream
      .format("kafka")
      .option("kafka.bootstrap.servers", bootstrapServers)
      .option(subscribeType, topics)
      .load()
      .selectExpr("CAST(value AS STRING)")
      .as[String]

    // Generate running word count
    val wordCounts = lines.flatMap(_.split(" ")).groupBy("value").count()

    // Start running the query that prints the running counts to the console
    val query = wordCounts.writeStream
      .outputMode("complete")
      .format("console")
      .start()

    query.awaitTermination()
  }

}

我添加了以下 sbt 文件:

构建.sbt:

name := "boontadata-spark-job1"
version := "0.1"
scalaVersion := "2.11.7"

libraryDependencies += "org.apache.spark" % "spark-core_2.11" % "2.0.2" % "provided"
libraryDependencies += "org.apache.spark" % "spark-streaming_2.11" % "2.0.2" % "provided"
libraryDependencies += "org.apache.spark" % "spark-sql_2.11" % "2.0.2" % "provided"
libraryDependencies += "org.apache.spark" % "spark-sql-kafka-0-10_2.11" % "2.0.2"
libraryDependencies += "org.apache.spark" % "spark-streaming-kafka-0-10_2.11" % "2.0.2"
libraryDependencies += "org.apache.kafka" % "kafka-clients" % "0.10.1.1"
libraryDependencies += "org.apache.kafka" % "kafka_2.11" % "0.10.1.1"

// META-INF discarding
assemblyMergeStrategy in assembly := { 
   {
    case PathList("META-INF", xs @ _*) => MergeStrategy.discard
    case x => MergeStrategy.first
   }
}

我还添加了 project/assembly.sbt

addSbtPlugin("com.eed3si9n" % "sbt-assembly" % "0.14.3")

这将创建一个带有非 provided 的 Uber jar jar 。

我提交以下行:

spark-submit boontadata-spark-job1-assembly-0.1.jar ks1:9092,ks2:9092,ks3:9092 subscribe sampletopic

但我收到此运行时错误:

Exception in thread "main" java.lang.ClassNotFoundException: Failed to find data source: kafka. Please find packages at https://cwiki.apache.org/confluence/display/SPARK/Third+Party+Projects
        at org.apache.spark.sql.execution.datasources.DataSource.lookupDataSource(DataSource.scala:148)
        at org.apache.spark.sql.execution.datasources.DataSource.providingClass$lzycompute(DataSource.scala:79)
        at org.apache.spark.sql.execution.datasources.DataSource.providingClass(DataSource.scala:79)
        at org.apache.spark.sql.execution.datasources.DataSource.sourceSchema(DataSource.scala:218)
        at org.apache.spark.sql.execution.datasources.DataSource.sourceInfo$lzycompute(DataSource.scala:80)
        at org.apache.spark.sql.execution.datasources.DataSource.sourceInfo(DataSource.scala:80)
        at org.apache.spark.sql.execution.streaming.StreamingRelation$.apply(StreamingRelation.scala:30)
        at org.apache.spark.sql.streaming.DataStreamReader.load(DataStreamReader.scala:124)
        at io.boontadata.spark.job1.DirectKafkaAggregateEvents$.main(StreamingJob.scala:41)
        at io.boontadata.spark.job1.DirectKafkaAggregateEvents.main(StreamingJob.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$$runMain(SparkSubmit.scala:736)
        at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:185)
        at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:210)
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:124)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.ClassNotFoundException: kafka.DefaultSource
        at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
        at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$5$$anonfun$apply$1.apply(DataSource.scala:132)
        at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$5$$anonfun$apply$1.apply(DataSource.scala:132)
        at scala.util.Try$.apply(Try.scala:192)
        at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$5.apply(DataSource.scala:132)
        at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$5.apply(DataSource.scala:132)
        at scala.util.Try.orElse(Try.scala:84)
        at org.apache.spark.sql.execution.datasources.DataSource.lookupDataSource(DataSource.scala:132)
        ... 18 more
16/12/23 13:32:48 INFO spark.SparkContext: Invoking stop() from shutdown hook

有没有办法知道哪个类没有找到，以便我可以在 maven.org 存储库中搜索该类。
lookupDataSource源代码似乎位于 https://github.com/apache/spark/blob/83a6ace0d1be44f70e768348ae6688798c84343e/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala 的第 543 行但我找不到与 Kafka 数据源的直接链接......

完整的源代码在这里: https://github.com/boontadata/boontadata-streams/tree/ad0d0134ddb7664d359c8dca40f1d16ddd94053f

Answer 1

我试过这样它对我有用。像这样提交，一旦您有任何问题，请告诉我

./spark-submit --packages org.apache.spark:spark-sql-kafka-0-10_2.11:2.1.0 --class com.inndata.StructuredStreaming.Kafka --master local[*] /Users/apple/.m2/repository/com/inndata/StructuredStreaming/0.0.1SNAPSHOT/StructuredStreaming-0.0.1-SNAPSHOT.jar