Pablo Panero created KAFKA-5649:
-----------------------------------
Summary: Producer is being closed generating ssl exception
Key: KAFKA-5649
URL: https://issues.apache.org/jira/browse/KAFKA-5649
Project: Kafka
Issue Type: Bug
Components: producer
Affects Versions: 0.10.2.1
Environment: Spark 2.2.0 and kafka 0.10.2.0
Reporter: Pablo Panero
Priority: Minor
On a streaming job using built-in kafka source and sink (over SSL), with I am
getting the following exception:
On a streaming job using built-in kafka source and sink (over SSL), with I am
getting the following exception:
Config of the source:
{code:java}
val df = spark.readStream
.format("kafka")
.option("kafka.bootstrap.servers", config.bootstrapServers)
.option("failOnDataLoss", value = false)
.option("kafka.connections.max.idle.ms", 3600000)
//SSL: this only applies to communication between Spark and Kafka
brokers; you are still responsible for separately securing Spark inter-node
communication.
.option("kafka.security.protocol", "SASL_SSL")
.option("kafka.sasl.mechanism", "GSSAPI")
.option("kafka.sasl.kerberos.service.name", "kafka")
.option("kafka.ssl.truststore.location", "/etc/pki/java/cacerts")
.option("kafka.ssl.truststore.password", "changeit")
.option("subscribe", config.topicConfigList.keys.mkString(","))
.load()
{code}
Config of the sink:
{code:java}
.writeStream
.option("checkpointLocation",
s"${config.checkpointDir}/${topicConfig._1}/")
.format("kafka")
.option("kafka.bootstrap.servers", config.bootstrapServers)
.option("kafka.connections.max.idle.ms", 3600000)
//SSL: this only applies to communication between Spark and Kafka
brokers; you are still responsible for separately securing Spark inter-node
communication.
.option("kafka.security.protocol", "SASL_SSL")
.option("kafka.sasl.mechanism", "GSSAPI")
.option("kafka.sasl.kerberos.service.name", "kafka")
.option("kafka.ssl.truststore.location", "/etc/pki/java/cacerts")
.option("kafka.ssl.truststore.password", "changeit")
.start()
{code}
{code:java}
17/07/18 10:11:58 WARN SslTransportLayer: Failed to send SSL Close message
java.io.IOException: Broken pipe
at sun.nio.ch.FileDispatcherImpl.write0(Native Method)
at sun.nio.ch.SocketDispatcher.write(SocketDispatcher.java:47)
at sun.nio.ch.IOUtil.writeFromNativeBuffer(IOUtil.java:93)
at sun.nio.ch.IOUtil.write(IOUtil.java:65)
at sun.nio.ch.SocketChannelImpl.write(SocketChannelImpl.java:471)
at
org.apache.kafka.common.network.SslTransportLayer.flush(SslTransportLayer.java:195)
at
org.apache.kafka.common.network.SslTransportLayer.close(SslTransportLayer.java:163)
at org.apache.kafka.common.utils.Utils.closeAll(Utils.java:731)
at
org.apache.kafka.common.network.KafkaChannel.close(KafkaChannel.java:54)
at org.apache.kafka.common.network.Selector.doClose(Selector.java:540)
at org.apache.kafka.common.network.Selector.close(Selector.java:531)
at
org.apache.kafka.common.network.Selector.pollSelectionKeys(Selector.java:378)
at org.apache.kafka.common.network.Selector.poll(Selector.java:303)
at org.apache.kafka.clients.NetworkClient.poll(NetworkClient.java:349)
at
org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:226)
at
org.apache.kafka.clients.consumer.KafkaConsumer.pollOnce(KafkaConsumer.java:1047)
at
org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:995)
at
org.apache.spark.sql.kafka010.CachedKafkaConsumer.poll(CachedKafkaConsumer.scala:298)
at
org.apache.spark.sql.kafka010.CachedKafkaConsumer.org$apache$spark$sql$kafka010$CachedKafkaConsumer$$fetchData(CachedKafkaConsumer.scala:206)
at
org.apache.spark.sql.kafka010.CachedKafkaConsumer$$anonfun$get$1.apply(CachedKafkaConsumer.scala:117)
at
org.apache.spark.sql.kafka010.CachedKafkaConsumer$$anonfun$get$1.apply(CachedKafkaConsumer.scala:106)
at
org.apache.spark.util.UninterruptibleThread.runUninterruptibly(UninterruptibleThread.scala:85)
at
org.apache.spark.sql.kafka010.CachedKafkaConsumer.runUninterruptiblyIfPossible(CachedKafkaConsumer.scala:68)
at
org.apache.spark.sql.kafka010.CachedKafkaConsumer.get(CachedKafkaConsumer.scala:106)
at
org.apache.spark.sql.kafka010.KafkaSourceRDD$$anon$1.getNext(KafkaSourceRDD.scala:157)
at
org.apache.spark.sql.kafka010.KafkaSourceRDD$$anon$1.getNext(KafkaSourceRDD.scala:148)
at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395)
at
org.apache.spark.sql.kafka010.KafkaWriteTask.execute(KafkaWriteTask.scala:47)
at
org.apache.spark.sql.kafka010.KafkaWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1$$anonfun$apply$1.apply$mcV$sp(KafkaWriter.scala:91)
at
org.apache.spark.sql.kafka010.KafkaWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1$$anonfun$apply$1.apply(KafkaWriter.scala:91)
at
org.apache.spark.sql.kafka010.KafkaWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1$$anonfun$apply$1.apply(KafkaWriter.scala:91)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1337)
at
org.apache.spark.sql.kafka010.KafkaWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(KafkaWriter.scala:91)
at
org.apache.spark.sql.kafka010.KafkaWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(KafkaWriter.scala:89)
at
org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$29.apply(RDD.scala:926)
at
org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$29.apply(RDD.scala:926)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2062)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2062)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:748)
{code}
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