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it unlocks many cool features!
- message.max.bytes=60000000
- replica.fetch.max.bytes=120000000
- val kafkaParams = Map[String, String](
- "security.protocol" -> "SASL_PLAINTEXT",
- "group.id" -> groupid,
- "metadata.broker.list" -> kafkaBrokerList,
- "max.partition.fetch.bytes" -> "60000000")
- spark-submit
- --verbose
- --master yarn-cluster
- --num-executors 3
- --executor-memory 7g
- --executor-cores 3
- --conf spark.driver.memory=1024m
- --conf spark.streaming.backpressure.enabled=false
- --conf spark.streaming.kafka.maxRatePerPartition=3
- --conf spark.streaming.concurrentJobs=3
- --conf spark.speculation=true
- --conf spark.hadoop.fs.hdfs.impl.disable.cache=true
- --files kafka_jaas.conf#kafka_jaas.conf,user.headless.keytab#user.headless.keytab
- --driver-java-options "-Djava.security.auth.login.config=./kafka_jaas.conf -Dhttp.proxyHost=PROXY_IP -Dhttp.proxyPort=8080 -Dhttps.proxyHost=PROXY_IP -Dhttps.proxyPort=8080 -Dlog4j.configuration=file:/home/user/spark-log4j/log4j-topic_name-driver.properties"
- --conf "spark.executor.extraJavaOptions=-Djava.security.auth.login.config=./kafka_jaas.conf -Dlog4j.configuration=file:/home/user/spark-log4j/log4j-topic_name-executor.properties"
- --class com.spark.demo.StreamProcessor /home/user/demo.jar /tmp/data/out 60 KAFKA_BROKER:6667 "groupid" topic_name
- User class threw exception: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 3, IP_HOST): java.lang.AssertionError: assertion failed: Ran out of messages before reaching ending offset 197 for topic x_topic_3 partition 24 start 196. This should not happen, and indicates that messages may have been lost
- at scala.Predef$.assert(Predef.scala:179)
- at org.apache.spark.streaming.kafka.KafkaRDD$KafkaRDDIterator.getNext(KafkaRDD.scala:211)
- at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73)
- at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
- at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:308)
- at scala.collection.Iterator$class.foreach(Iterator.scala:727)
- at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
- at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
- at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
- at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
- at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
- at scala.collection.AbstractIterator.to(Iterator.scala:1157)
- at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
- at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
- at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
- at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
- at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1335)
- at org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1335)
- at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1881)
- at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1881)
- at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
- at org.apache.spark.scheduler.Task.run(Task.scala:89)
- at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
- 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)
- Driver stacktrace
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