小编Ash*_*n S的帖子

我在用着

• Spark版本：3.0.0-preview2
• 斯卡拉版本：2.12
• JAVA版本：1.8
• 卡夫卡经纪人版本：2.2.0

我在spark-defaults.conf文件中配置了两个JAR（spark-sql-kafka-0-10_2.12-3.0.0-preview2.jar和kafka-clients-2.2.0.jar）并将JAR保存在$SPARK_HOME中/jars 文件夹也是如此。当我尝试查看来自 Kafka 服务器的数据的键、值（因为来自 Kafka 的数据以 JSON 格式的 KV 对形式出现）时，我遇到了以下错误

java.lang.NoClassDefFoundError: org/apache/spark/kafka010/KafkaConfigUpdater
        at org.apache.spark.sql.kafka010.KafkaSourceProvider$.kafkaParamsForDriver(KafkaSourceProvider.scala:580)
        at org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan.toMicroBatchStream(KafkaSourceProvider.scala:466)
        at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$1.$anonfun$applyOrElse$3(MicroBatchExecution.scala:102)
        at scala.collection.mutable.HashMap.getOrElseUpdate(HashMap.scala:86)
        at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$1.applyOrElse(MicroBatchExecution.scala:95)
        at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$1.applyOrElse(MicroBatchExecution.scala:81)
        at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDown$1(TreeNode.scala:286)
        at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:72)
        at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:286)
        at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$tran29)
        at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDown(AnalysisHelper.scala:149)
        at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDown$(AnalysisHelper.scala:147)
        at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29)
        at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29)
        at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDown$3(TreeNode.scala:291)
        at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$mapChildren$1(TreeNode.scala:376)
        at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:214)
        at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:374)
        at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:327)
        at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:291)
        at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$tran29)
        at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDown(AnalysisHelper.scala:149)
        at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDown$(AnalysisHelper.scala:147)
        at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29)
        at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29)
        at org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:275)
        at …