如何摆脱 NoSuchMethodError：Spark Streaming + Kafka 中的 org.apache.kafka.clients.consumer.KafkaConsumer.su

Posted 2023-03-10

【中文标题】如何摆脱 NoSuchMethodError：Spark Streaming + Kafka 中的 org.apache.kafka.clients.consumer.KafkaConsumer.subscribe 错误

【英文标题】：How to get rid of NoSuchMethodError: org.apache.kafka.clients.consumer.KafkaConsumer.subscribe error in Spark Streaming + Kafka

【发布时间】：2018-07-20 09:19:30

【问题描述】：

我想使用 Spark Streaming 并将其与 Kafka 连接。但是我仍然得到 NoSuchMethodError： org.apache.kafka.clients.consumer.KafkaConsumer.subscribe 错误，现在我只是不知道下一步该做什么。

我的设置：

Ubuntu 16.04

Scala 2.11

Kafka 2.11-1.0.0（我也试过用2.11-0.10.0.0）

火花 2.2.1

Hadoop 2.9.0

我什至无法运行示例脚本：

from pyspark.sql import SparkSession, Row, SQLContext
from pyspark import SparkContext, SparkConf
from pyspark.streaming import StreamingContext
from pyspark.streaming.kafka import KafkaUtils
from pyspark.sql.types import *

sparkSession = SparkSession.builder.appName("example-pyspark-read-and-write").getOrCreate() 

# Subscribe to 1 topic
df = sparkSession\
  .readStream\
  .format("kafka")\
  .option("kafka.bootstrap.servers", "localhost:9092")\
  .option("kafka.partition.assignment.strategy", "range") \
  .option("subscribe", "test")\
  .option("startingOffsets", "earliest")\
  .load() 

query = df.writeStream\
    .format("console")\
    .start()

query.awaitTermination()

我在 Spark 上使用

spark-submit --master local[2] --jars /home/some_path/spark-sql-kafka-0-10_2.11-2.2.1.jar spark_streaming_kafka_example.py 

我得到一个错误

Exception in thread "stream execution thread for [id = 38ee73d5-4f20-41d0-ac89-a29c3f3255d1, runId = dadfc8ab-8e4c-464f-b4ef-495426aafc88]" java.lang.NoSuchMethodError: org.apache.kafka.clients.consumer.KafkaConsumer.subscribe(Ljava/util/Collection;)V
    at org.apache.spark.sql.kafka010.SubscribeStrategy.createConsumer(ConsumerStrategy.scala:63)
    at org.apache.spark.sql.kafka010.KafkaOffsetReader.createConsumer(KafkaOffsetReader.scala:297)
    at org.apache.spark.sql.kafka010.KafkaOffsetReader.<init>(KafkaOffsetReader.scala:78)
    at org.apache.spark.sql.kafka010.KafkaSourceProvider.createSource(KafkaSourceProvider.scala:88)
    at org.apache.spark.sql.execution.datasources.DataSource.createSource(DataSource.scala:244)
    at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$2$$anonfun$applyOrElse$1.apply(StreamExecution.scala:158)
    at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$2$$anonfun$applyOrElse$1.apply(StreamExecution.scala:155)
    at scala.collection.mutable.MapLike$class.getOrElseUpdate(MapLike.scala:194)
    at scala.collection.mutable.AbstractMap.getOrElseUpdate(Map.scala:80)
    at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$2.applyOrElse(StreamExecution.scala:155)
    at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$2.applyOrElse(StreamExecution.scala:153)
    at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:267)
    at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:267)
    at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)
    at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:266)
    at org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:256)
    at org.apache.spark.sql.execution.streaming.StreamExecution.logicalPlan$lzycompute(StreamExecution.scala:153)
    at org.apache.spark.sql.execution.streaming.StreamExecution.logicalPlan(StreamExecution.scala:147)
    at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches(StreamExecution.scala:276)
    at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:206)
Traceback (most recent call last):
  File "/home/some_path/spark_streaming_kafka_example.py", line 41, in <module>
    query.awaitTermination()
  File "/usr/local/spark/spark-2.2.1-bin-without-hadoop/python/lib/pyspark.zip/pyspark/sql/streaming.py", line 106, in awaitTermination
  File "/usr/local/spark/spark-2.2.1-bin-without-hadoop/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1133, in __call__
  File "/usr/local/spark/spark-2.2.1-bin-without-hadoop/python/lib/pyspark.zip/pyspark/sql/utils.py", line 75, in deco
pyspark.sql.utils.StreamingQueryException: u'org.apache.kafka.clients.consumer.KafkaConsumer.subscribe(Ljava/util/Collection;)V\n=== Streaming Query ===\nIdentifier: [id = 38ee73d5-4f20-41d0-ac89-a29c3f3255d1, runId = dadfc8ab-8e4c-464f-b4ef-495426aafc88]\nCurrent Committed Offsets: \nCurrent Available Offsets: \n\nCurrent State: INITIALIZING\nThread State: RUNNABLE'

我还尝试在 --jars 中包含 spark-streaming-kafka-0-10-assembly_2.11-2.2.1 （而不是 spark-sql-kafka-0-10_2.11-2.2.1.jar )，但它也没有帮助。

我也尝试将这两行放在 spark-defaults.conf 中

spark.driver.extraClassPath /home/some_path/spark-streaming-kafka-0-10-assembly_2.11-2.2.1.jar
spark.executor.extraClassPath /home/some_path/spark-streaming-kafka-0-10-assembly_2.11-2.2.1.jar

或

spark.driver.extraClassPath /home/some_path/spark-sql-kafka-0-10_2.11-2.2.1.jar
spark.executor.extraClassPath /home/some_path/spark-sql-kafka-0-10_2.11-2.2.1.jar

【参考方案1】：

为了将 Spark Structured Streaming 与 Kafka 一起使用，您还需要在 spark.driver.extraClassPath 和 spark.executor.extraClassPath 中添加以下 JAR：

/home/some_path/kafka-clients-0.10.2.1.jar

由于spark-sql-kafka-0-10_2.11-2.2.1.jar不包含KafkaConsumer，我们也需要添加上述JAR文件。所以，最终的spark-submit 命令将是这样的：

spark-submit --master local[2] --jars /home/some_path/spark-sql-kafka-0-10_2.11-2.2.1.jar:/home/some_path/kafka-clients-0.10。 2.1.jar spark_streaming_kafka_example.py

此外，由于您使用的是 Spark Structured Streaming 而不是 Spark Streaming，因此您不需要包含任何 spark-streaming JAR。

希望对你有帮助！

【讨论】：

感谢您的建议。我仔细检查了我已经统一了 kafka 和 sql-streaming 等的所有版本，并将 kafka-clients-0.10.2.1.jar 添加到 spark-submit 和 spark.driver.extraClassPath 和 spark.executor.extraClassPath 中，但这并没有多大帮助。我仍然无法构建 kafka 消费者：Traceback (most recent call last): File "/home/some_path/read_kafka_stream_structured.py", line 45, in <module> query.awaitTermination() ... pyspark.sql.utils.StreamingQueryException: u'Failed to construct kafka consumer\n=== Streaming Query ===\ ...

另外，我添加了 kafka-streams-0.10.0.0.jar （kafka-clients jar 是同一版本：kafka-clients-0.10.0.0.jar，我无法再编辑我的上面评论）

你不应该需要kafka-clients作为核心Kafka已经是一个传递依赖spark-sql-kafkamvnrepository.com/artifact/org.apache.spark/…

不确定，但我敢打赌这个提交修复了它。 github.com/apache/spark/commit/…

我仍然面临同样的问题......我正在使用： - kafka 2.4.0 - spark 2.4.5

【参考方案2】：

尝试在您的 spark2-submit 命令之前运行 export SPARK_KAFKA_VERSION=0.10。 [Source for solution]

【讨论】：

这个答案应该更像