java.lang.AbstractMethodError, org.apache.spark.internal.Logging$class.initializeLogIfNecessary

Question

I m running the kafka producer and consumer code for testing purpose in cdh 5.12. While I m trying to do so I m facing below error while running the consumer code.

dataSet: org.apache.spark.sql.Dataset[(String, String)] = [key: string, value: string]
query: org.apache.spark.sql.streaming.StreamingQuery = org.apache.spark.sql.execution.streaming.StreamingQueryWrapper@109a5573
2018-10-25 10:08:37 ERROR MicroBatchExecution:91 - Query [id = 70bc4f7a-cc41-470d-afd0-d46e5aebf3db, runId = 4d974468-6c6b-47e5-976b-8b9aa98114e2] terminated with error
java.lang.AbstractMethodError
        at org.apache.spark.internal.Logging$class.initializeLogIfNecessary(Logging.scala:99)
        at org.apache.spark.sql.kafka010.KafkaSourceProvider$.initializeLogIfNecessary(KafkaSourceProvider.scala:369)
        at org.apache.spark.internal.Logging$class.log(Logging.scala:46)
        at org.apache.spark.sql.kafka010.KafkaSourceProvider$.log(KafkaSourceProvider.scala:369)
        at org.apache.spark.internal.Logging$class.logDebug(Logging.scala:58)
        at org.apache.spark.sql.kafka010.KafkaSourceProvider$.logDebug(KafkaSourceProvider.scala:369)
        at org.apache.spark.sql.kafka010.KafkaSourceProvider$ConfigUpdater.set(KafkaSourceProvider.scala:439)
        at org.apache.spark.sql.kafka010.KafkaSourceProvider$.kafkaParamsForDriver(KafkaSourceProvider.scala:394)
        at org.apache.spark.sql.kafka010.KafkaSourceProvider.createSource(KafkaSourceProvider.scala:90)
        at org.apache.spark.sql.execution.datasources.DataSource.createSource(DataSource.scala:277)
        at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$1$$anonfun$applyOrElse$1.apply(MicroBatchExecution.scala:80)
        at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$1$$anonfun$applyOrElse$1.apply(MicroBatchExecution.scala:77)
        at scala.collection.mutable.MapLike$class.getOrElseUpdate(MapLike.scala:194)
        at scala.collection.mutable.AbstractMap.getOrElseUpdate(Map.scala:80)
        at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$1.applyOrElse(MicroBatchExecution.scala:77)
        at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$1.applyOrElse(MicroBatchExecution.scala:75)
        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$$anonfun$transformDown$1.apply(TreeNode.scala:272)
        at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
        at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:306)
        at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
        at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:304)
        at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:272)
        at org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:256)
        at org.apache.spark.sql.execution.streaming.MicroBatchExecution.logicalPlan$lzycompute(MicroBatchExecution.scala:75)
        at org.apache.spark.sql.execution.streaming.MicroBatchExecution.logicalPlan(MicroBatchExecution.scala:61)
        at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:265)
        at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:189)
Exception in thread "stream execution thread for [id = 70bc4f7a-cc41-470d-afd0-d46e5aebf3db, runId = 4d974468-6c6b-47e5-976b-8b9aa98114e2]" java.lang.AbstractMethodError
        at org.apache.spark.internal.Logging$class.initializeLogIfNecessary(Logging.scala:99)
        at org.apache.spark.sql.kafka010.KafkaSourceProvider$.initializeLogIfNecessary(KafkaSourceProvider.scala:369)
        at org.apache.spark.internal.Logging$class.log(Logging.scala:46)
        at org.apache.spark.sql.kafka010.KafkaSourceProvider$.log(KafkaSourceProvider.scala:369)
        at org.apache.spark.internal.Logging$class.logDebug(Logging.scala:58)
        at org.apache.spark.sql.kafka010.KafkaSourceProvider$.logDebug(KafkaSourceProvider.scala:369)
        at org.apache.spark.sql.kafka010.KafkaSourceProvider$ConfigUpdater.set(KafkaSourceProvider.scala:439)
        at org.apache.spark.sql.kafka010.KafkaSourceProvider$.kafkaParamsForDriver(KafkaSourceProvider.scala:394)
        at org.apache.spark.sql.kafka010.KafkaSourceProvider.createSource(KafkaSourceProvider.scala:90)
        at org.apache.spark.sql.execution.datasources.DataSource.createSource(DataSource.scala:277)
        at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$1$$anonfun$applyOrElse$1.apply(MicroBatchExecution.scala:80)
        at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$1$$anonfun$applyOrElse$1.apply(MicroBatchExecution.scala:77)
        at scala.collection.mutable.MapLike$class.getOrElseUpdate(MapLike.scala:194)
        at scala.collection.mutable.AbstractMap.getOrElseUpdate(Map.scala:80)
        at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$1.applyOrElse(MicroBatchExecution.scala:77)
        at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$1.applyOrElse(MicroBatchExecution.scala:75)
        at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:267)
        at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:267)
        at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)
        at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:266)
        at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
        at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
        at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:306)
        at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
        at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:304)
        at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:272)
        at org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:256)
        at org.apache.spark.sql.execution.streaming.MicroBatchExecution.logicalPlan$lzycompute(MicroBatchExecution.scala:75)
        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$$runStream(StreamExecution.scala:265)
        at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:189)
org.apache.spark.sql.streaming.StreamingQueryException: Query [id = 70bc4f7a-cc41-470d-afd0-d46e5aebf3db, runId = 4d974468-6c6b-47e5-976b-8b9aa98114e2] terminated with exception: null
  at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:295)
  at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:189)
Caused by: java.lang.AbstractMethodError
  at org.apache.spark.internal.Logging$class.initializeLogIfNecessary(Logging.scala:99)
  at org.apache.spark.sql.kafka010.KafkaSourceProvider$.initializeLogIfNecessary(KafkaSourceProvider.scala:369)
  at org.apache.spark.internal.Logging$class.log(Logging.scala:46)
  at org.apache.spark.sql.kafka010.KafkaSourceProvider$.log(KafkaSourceProvider.scala:369)
  at org.apache.spark.internal.Logging$class.logDebug(Logging.scala:58)
  at org.apache.spark.sql.kafka010.KafkaSourceProvider$.logDebug(KafkaSourceProvider.scala:369)
  at org.apache.spark.sql.kafka010.KafkaSourceProvider$ConfigUpdater.set(KafkaSourceProvider.scala:439)
  at org.apache.spark.sql.kafka010.KafkaSourceProvider$.kafkaParamsForDriver(KafkaSourceProvider.scala:394)
  at org.apache.spark.sql.kafka010.KafkaSourceProvider.createSource(KafkaSourceProvider.scala:90)
  at org.apache.spark.sql.execution.datasources.DataSource.createSource(DataSource.scala:277)
  at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$1$$anonfun$applyOrElse$1.apply(MicroBatchExecution.scala:80)
  at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$1$$anonfun$applyOrElse$1.apply(MicroBatchExecution.scala:77)
  at scala.collection.mutable.MapLike$class.getOrElseUpdate(MapLike.scala:194)
  at scala.collection.mutable.AbstractMap.getOrElseUpdate(Map.scala:80)
  at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$1.applyOrElse(MicroBatchExecution.scala:77)
  at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$1.applyOrElse(MicroBatchExecution.scala:75)
  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$$anonfun$transformDown$1.apply(TreeNode.scala:272)
  at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
  at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:306)
  at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
  at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:304)
  at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:272)
  at org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:256)
  at org.apache.spark.sql.execution.streaming.MicroBatchExecution.logicalPlan$lzycompute(MicroBatchExecution.scala:75)
  at org.apache.spark.sql.execution.streaming.MicroBatchExecution.logicalPlan(MicroBatchExecution.scala:61)
  at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:265)

Below is the scala code I m running:

import org.apache.kafka.clients.consumer.KafkaConsumer

import org.apache.kafka.clients.producer.{KafkaProducer, ProducerRecord}



val dataFrame = spark.readStream.format("kafka").option("kafka.bootstrap.servers","host:9093,host:9093,host:9093").option("kafka.security.protocol", "SASL_SSL").option("kafka.sasl.kerberos.service.name", "kafka").option("kafka.ssl.truststore.location","/opt/cloudera/security/jks/truststore.jks").option("kafka.ssl.truststore.password", "password").option("subscribe", "SampleTopic").load()

// dataFrame.writeStream.format("console").option("truncate","false").start().awaitTermination()

dataFrame.printSchema()

val dataSet =dataFrame.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)").as[(String, String)]
val query = dataSet.writeStream.outputMode("append").format("console").start()

query.awaitTermination()

Below is the command I m running to execute above code:

spark2-shell --files /tmp/jaas.conf,/path/to/.keytab  --conf spark.executor.extraJavaOptions=-Djava.security.auth.login.config=/tmp/jaas.conf --conf spark.driver.extraJavaOptions=-Djava.security.auth.login.config=/tmp/jaas.conf --packages org.apache.spark:spark-sql-kafka-0-10_2.11:2.2.0  -i /path/to/file.scala

Thanks

Your code looks fine, but the error is from Spark logger library within the Spark Kafka package, not Kafka itself — OneCricketeer
– OneCricketeer, Commented Oct 26, 2018 at 3:16

LevG · Accepted Answer · 2018-11-12 16:26:26Z

2

I got a similar issue and it turns out that the problem was an incompatibility between spark version and the versions of the used packages.

For your case - according to cloudera doc cdh 5.12 comes with Spark 1.6 which in turns requires scala 2.10, while the used package org.apache.spark:spark-sql-kafka-0-10_2.11:2.2.0 is compiled with scala 2.11. You can try to use org.apache.spark:spark-streaming-kafka_2.10:1.6.1 instead.

Credits: https://community.hortonworks.com/articles/197922/spark-23-structured-streaming-integration-with-apa.html

answered Nov 12, 2018 at 16:26

LevG

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1 Comment

K.S. Over a year ago

Same. I had somethings pinned to Spark 2.2, but I was using Spark 2.3.

best wishes · Accepted Answer · 2023-10-04 15:48:41Z

0

For me this happened because i had not imported spark-streaming in my dependency pom. adding

<dependency>
   <groupId>org.apache.spark</groupId>
   <artifactId>spark-streaming_2.12</artifactId>
   <version>{whatEverOtherDependencyAreThere}</version>
</dependency>

resolved the issue

answered Oct 4, 2023 at 15:48

best wishes

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