Итак, используя: - Spark Structured Streaming (2.1.0) - Kafka 0.10.2.0 - Scala 2.11
Я использую API по умолчанию от Kafka, поэтому в основном:
val df = spark.readStream
.format("kafka")
.option(...)
Настройка параметров (через SSL) и все такое. Затем я явно применяю несколько действий и т. д. и запускаю поток и т. д. (он работает правильно). Однако время от времени выдает исключение:
17/05/30 11:05:23 WARN TaskSetManager: Lost task 23.0 in stage 77.0 (TID 3329, spark-worker-3, executor 0): java.lang.IllegalStateException: This consumer has already been closed.
at org.apache.kafka.clients.consumer.KafkaConsumer.ensureNotClosed(KafkaConsumer.java:1611)
at org.apache.kafka.clients.consumer.KafkaConsumer.acquire(KafkaConsumer.java:1622)
at org.apache.kafka.clients.consumer.KafkaConsumer.seek(KafkaConsumer.java:1198)
at org.apache.spark.sql.kafka010.CachedKafkaConsumer.seek(CachedKafkaConsumer.scala:278)
at org.apache.spark.sql.kafka010.CachedKafkaConsumer.fetchData(CachedKafkaConsumer.scala:177)
at org.apache.spark.sql.kafka010.CachedKafkaConsumer.get(CachedKafkaConsumer.scala:89)
at org.apache.spark.sql.kafka010.KafkaSourceRDD$$anon$1.getNext(KafkaSourceRDD.scala:147)
at org.apache.spark.sql.kafka010.KafkaSourceRDD$$anon$1.getNext(KafkaSourceRDD.scala:136)
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:377)
at org.apache.spark.sql.execution.streaming.ForeachSink$$anonfun$addBatch$1.apply(ForeachSink.scala:52)
at org.apache.spark.sql.execution.streaming.ForeachSink$$anonfun$addBatch$1.apply(ForeachSink.scala:49)
at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$29.apply(RDD.scala:925)
at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$29.apply(RDD.scala:925)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1944)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1944)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
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:745)
Любые советы, почему это может не сработать?
