通过PySpark在Kafka-Spark结构化流集成时遇到NoClassDefFoundError错误

Question

我正在使用

• 火花版本：3.0.0-preview2
• Scala版本：2.12
• JAVA版本：1.8
• Kafka Broker版本：2.2.0

我已经在spark-defaults上配置了两个JARS（spark-sql-kafka-0-10_2.12-3.0.0-preview2.jar和kafka-clients-2.2.0.jar） .conf文件，并将JARS也保存在$ SPARK_HOME / jars文件夹中。当我尝试查看来自Kafka服务器的数据的[[Key，Value（由于来自Kafka的数据以JSON格式成K-V对）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$$super$tran29)
        at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDown(AnalysisHelper.scala:149)
        at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDown$(AnalysisHelper.scala:147)
        at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29)
        at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDown(LogicalPlan.scala:29)
        at org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:275)
        at org.apache.spark.sql.execution.streaming.MicroBatchExecution.logicalPlan$lzycompute(MicroBatchExecution.scala:81)
        at org.apache.spark.sql.execution.streaming.MicroBatchExecution.logicalPlan(MicroBatchExecution.scala:61)
        at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(S
        at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:244)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.kafka010.KafkaConfigUpdater
        at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:419)
        at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:352)
        ... 30 more
Exception in thread "stream execution thread for [id = 504665ad-c59a-4a85-8c46-4d6c741b0adf, runId = 36bc5028-6b34-4d6c-a265-4c38ce66cfcbError: org/apache/spark/kafka010/KafkaConfigUpdater
        at org.apache.spark.sql.kafka010.KafkaSourceProvider$.kafkaParamsForDriver(KafkaSourceProvider.scala:580)
        at org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan.toMicroBatchStream(KafkaSourceProvider.scala:466)
        at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$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 org.apache.spark.sql.execution.streaming.MicroBatchExecution.logicalPlan$lzycompute(MicroBatchExecution.scala:81)
        at org.apache.spark.sql.execution.streaming.MicroBatchExecution.logicalPlan(MicroBatchExecution.scala:61)
        at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(S
        at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:244)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.kafka010.KafkaConfigUpdater
        at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:419)
        at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:352)
        ... 30 more

这是我尝试查看Kafka数据的键-值对的代码
from pyspark import *
from pyspark.sql import *
from pyspark.sql.utils import *
from pyspark.streaming import *
from pyspark.sql.types import *
from pyspark.sql.functions import *

conf = SparkConf().setMaster("local")
sc = SparkContext(conf = conf)
sc.setLogLevel("ERROR")
sqlContext = SQLContext(sc)

spark = SparkSession \
    .builder \
    .getOrCreate()

df = spark \
  .readStream \
  .format("kafka") \
  .option("kafka.bootstrap.servers", "XX.XX.XX.XX:9092,XX.XX.XX.XX:9092") \
  .option("subscribe", "topic1,topic2,topic3") \
  .option("failOnDataLoss", "false") \
  .load()

table = df.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)")

query = table \
        .writeStream \
        .outputMode("append") \
        .option("truncate","false") \
        .format("console") \
        .start() \
        .awaitTermination()

有人可以帮助我解决此错误吗？预先感谢！

Answer 1

我已通过在

$ SPARK_HOME / JARS文件夹和spark-defaults]中添加spark-streaming-kafka-0-10-assembly_2.11-2.4.0.jar解决了问题.conf文件格式为>

spark.driver.extraClassPath       /opt/spark-2.4.0-bin-hadoop2.7/jars/spark-sql-kafka-0-10_2.11-2.4.0.jar:/opt/spark-2.4.0-bin-hadoop2.7/jars/kafka-clients-2.2.0.jar: /opt/spark-2.4.0-bin-hadoop2.7/jars/spark-streaming-kafka-0-10-assembly_2.11-2.4.0.jar

spark.executor.extraClassPath     /opt/spark-2.4.0-bin-hadoop2.7/jars/spark-sql-kafka-0-10_2.11-2.4.0.jar:/opt/spark-2.4.0-bin-hadoop2.7/jars/kafka-clients-2.2.0.jar: /opt/spark-2.4.0-bin-hadoop2.7/jars/spark-streaming-kafka-0-10-assembly_2.11-2.4.0.jar

并按如下所示运行spark-submit命令：
$SPARK_HOME/bin/spark-submit --master yarn --jars $SPARK_HOME/jars/spark-sql-kafka-0-10_2.12-3.0.0-preview.jar,$SPARK_HOME/jars/kafka-clients-2.2.0.jar,$SPARK_HOME/jars/spark-streaming-kafka-0-10-assembly_2.12-3.0.0-preview2.jar test.py