我试图连接Spark流Kafka在一个简单的应用程序。我通过spark文档中的示例创建了这个应用程序。当我尝试运行它时,我遇到了这样一个异常:
Exception in thread "main" java.lang.ExceptionInInitializerError
at org.apache.spark.streaming.dstream.InputDStream.<init>(InputDStream.scala:80)
at org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.<init>(DirectKafkaInputDStream.scala:59)
at org.apache.spark.streaming.kafka010.KafkaUtils$.createDirectStream(KafkaUtils.scala:147)
at org.apache.spark.streaming.kafka010.KafkaUtils$.createDirectStream(KafkaUtils.scala:124)
at producer.KafkaProducer$.main(KafkaProducer.scala:36)
at producer.KafkaProducer.main(KafkaProducer.scala)
Caused by: com.fasterxml.jackson.databind.JsonMappingException: Incompatible Jackson version: 2.9.4
at com.fasterxml.jackson.module.scala.JacksonModule$class.setupModule(JacksonModule.scala:64)
at com.fasterxml.jackson.module.scala.DefaultScalaModule.setupModule(DefaultScalaModule.scala:19)
at com.fasterxml.jackson.databind.ObjectMapper.registerModule(ObjectMapper.java:751)
at org.apache.spark.rdd.RDDOperationScope$.<init>(RDDOperationScope.scala:82)
这是我的密码:
object KafkaProducer {
def main(args: Array[String]) {
val spark = SparkSession
.builder()
.appName("KafkaSparkStreaming")
.master("local[*]")
.getOrCreate()
val ssc = new StreamingContext(spark.sparkContext, Seconds(3))
val topics = Array("topic1", "topic2")
def kafkaParams = Map[String, Object](
"bootstrap.servers" -> "localhost:9092",
"key.deserializer" -> classOf[StringDeserializer],
"value.deserializer" -> classOf[StringDeserializer],
"group.id" -> "1",
"auto.offset.reset" -> "latest",
"enable.auto.commit" -> (false: java.lang.Boolean)
)
val lines = KafkaUtils.createDirectStream[String, String](
ssc,
LocationStrategies.PreferConsistent,
ConsumerStrategies.Subscribe[String, String](topics, kafkaParams)
)
lines.map(_.key())
ssc.start()
ssc.awaitTermination()
我不确定问题是在配置还是代码本身。这就是我的build.sbt文件的样子:
scalaVersion := "2.11.4"
resolvers += "Spark Packages Repo" at "http://dl.bintray.com/spark-packages/maven"
libraryDependencies ++= Seq(
"org.apache.kafka" %% "kafka" % "1.1.0",
"org.apache.spark" %% "spark-core" % "2.3.0",
"org.apache.spark" %% "spark-sql" % "2.3.0",
"org.apache.spark" %% "spark-streaming" % "2.3.0",
"org.apache.spark" %% "spark-streaming-kafka-0-10" % "2.3.0"
)
我会很感激任何帮助,因为我不能找出什么是错的!
1条答案
按热度按时间jvlzgdj91#
通过跟踪您遇到的异常的堆栈跟踪,我们可以发现主要问题是:
原因:com.fasterxml.jackson.databind.jsonmappingexception:不兼容的jackson版本:2.9.4
事实上,事实上
spark 2.1.0包含com.fasterxml.jackson.core作为可传递依赖项。所以,我们不需要在librarydependencies中包含then。
对于一个类似的问题及其解决方案,这里将更详细地描述它。