Chandana Kithalagama created ZEPPELIN-4074:
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Summary: Spark interpreter failed with "Not a version: 9" error
Key: ZEPPELIN-4074
URL: https://issues.apache.org/jira/browse/ZEPPELIN-4074
Project: Zeppelin
Issue Type: Bug
Components: Interpreters
Affects Versions: 0.8.1
Environment: $ java -version
java version "1.8.0_191"
Java(TM) SE Runtime Environment (build 1.8.0_191-b12)
Java HotSpot(TM) 64-Bit Server VM (build 25.191-b12, mixed mode)
zeppelin-0.8.1-bin-netinst running on local machine
spark interpreter
2 external dependencies added to the spark interpreter configs
- org.apache.spark:spark-streaming-kafka-0-10_2.11:2.4.0
- com.typesafe.play:play-json_2.11:2.6.8
Connecting to Spark 2.4.0 running on local machine
Reporter: Chandana Kithalagama
The following spark code connects to a kafka queue running on my local machine
(inside devicehive platform) and reads sensor data messages.
{code:java}
import org.apache.kafka.clients.consumer.ConsumerRecord
import org.apache.kafka.common.serialization.StringDeserializer
import org.apache.spark.streaming.kafka010._
import org.apache.spark.streaming.kafka010.LocationStrategies.PreferBrokers
import org.apache.spark.streaming.kafka010.ConsumerStrategies.Subscribe
import org.apache.spark.streaming.{Seconds, StreamingContext}
import play.api.libs.json._
case class SenseData(hash: String, value: Int, updated: String)
val kafkaParams = Map[String, Object](
"bootstrap.servers" -> "localhost:9092",
"key.deserializer" -> classOf[StringDeserializer],
"value.deserializer" -> classOf[StringDeserializer],
"group.id" -> "sensor_data",
"auto.offset.reset" -> "latest",
"enable.auto.commit" -> (false: java.lang.Boolean)
)
val topics = Array("plugin_topic_536cc303-eb2f-4ff9-b546-d8c59b6c5466")
val streamingContext = new StreamingContext(sc, Seconds(120))
val stream = KafkaUtils.createDirectStream(
streamingContext,
PreferBrokers,
Subscribe[String, String](topics, kafkaParams)
)
stream.map(
record => {
var json: JsValue = Json.parse(record.value)
SenseData(json("b")("notification")("deviceId").as[String],
json("b")("notification")("parameters")("t").as[Int],
json("b")("notification")("timestamp").as[String])
}
).foreachRDD( rdd=> {
println("--- New RDD with " + rdd.partitions.size + " partitions and " +
rdd.count + " records")
rdd.foreach(
record => {
record.productIterator.foreach{ i => println(i) }
}
)
rdd.toDF().registerTempTable("sensedata")
}
)
streamingContext.start(){code}
When the code is added to a zeppelin paragraph and executed, the following
error is reported.
{code:java}
WARN [2019-03-15 16:22:35,054] ({pool-2-thread-3}
NotebookServer.java[afterStatusChange]:2316) - Job 20190304-085834_2122705886
is finished, status: ERROR, exception: null, result: %text
java.lang.NumberFormatException: Not a version: 9
at scala.util.PropertiesTrait$class.parts$1(Properties.scala:184)
at scala.util.PropertiesTrait$class.isJavaAtLeast(Properties.scala:187){code}
It looks like that some dependency on JDK 9 is being checked during class
loading. However I am running JDK 8. Is there a way to fix this?
Some observations:
1) I could run the exact same code in spark shell without any error. This
suggests that the issue may be in zeppelin code base.
{code:java}
./bin/spark-shell --packages
"org.apache.spark:spark-streaming-kafka-0-10_2.11:2.4.0,com.typesafe.play:play-json_2.11:2.7.0"{code}
2) This started to through when com.typesafe.play:play-json_2.11:2.6.8 (or any
version below 2.6.11) is added as a dependency to facilitate conversation from
JSON to Scala and vice versa in my code.
3) However, if I use com.typesafe.play:play-json_2.11:2.7.0, it throws a
different error which I was able to fix by excluding conflicting dependencies.
{code:java}
WARN [2019-03-15 16:11:29,203] ({pool-2-thread-2}
NotebookServer.java[afterStatusChange]:2316) - Job 20190304-085834_2122705886
is finished, status: ERROR, exception: null, result: %text warning: there was
one deprecation warning; re-run with -deprecation for details
com.fasterxml.jackson.databind.JsonMappingException: Incompatible Jackson
version: 2.9.8
at
com.fasterxml.jackson.module.scala.JacksonModule$class.setupModule(JacksonModule.scala:64)
at
com.fasterxml.jackson.module.scala.DefaultScalaModule.setupModule(DefaultScalaModule.scala:19)
at
com.fasterxml.jackson.databind.ObjectMapper.registerModule(ObjectMapper.java:751)
at org.apache.spark.rdd.RDDOperationScope$.<init>(RDDOperationScope.scala:82)
at org.apache.spark.rdd.RDDOperationScope$.<clinit>(RDDOperationScope.scala)
at org.apache.spark.streaming.dstream.InputDStream.<init>(InputDStream.scala:80)
at
org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.<init>(DirectKafkaInputDStream.scala:57)
at
org.apache.spark.streaming.kafka010.KafkaUtils$.createDirectStream(KafkaUtils.scala:147)
at
org.apache.spark.streaming.kafka010.KafkaUtils$.createDirectStream(KafkaUtils.scala:124){code}
When the following exclusions were added to the spark dependencies against
com.typesafe.play:play-json_2.11:2.7.0, this error got disappeared.
{code:java}
com.fasterxml.jackson.core:jackson-databind,com.fasterxml.jackson.datatype:jackson-datatype{code}
Complete stack trace:
{code:java}
INFO [2019-03-15 16:22:27,440] ({pool-2-thread-3}
RemoteInterpreterManagedProcess.java[start]:190) - Run interpreter process
[/Users/ckit/platforms/zeppelin-0.8.1-bin-netinst/bin/interpreter.sh, -d,
/Users/ckit/platforms/zeppelin-0.8.1-bin-netinst/interpreter/spark, -c,
10.76.26.5, -p, 62197, -r, :, -l,
/Users/ckit/platforms/zeppelin-0.8.1-bin-netinst/local-repo/spark, -g, spark]
INFO [2019-03-15 16:22:32,991] ({pool-9-thread-1}
RemoteInterpreterManagedProcess.java[callback]:123) - RemoteInterpreterServer
Registered: CallbackInfo(host:10.76.26.5, port:62200)
INFO [2019-03-15 16:22:32,995] ({pool-2-thread-3}
RemoteInterpreter.java[call]:168) - Create RemoteInterpreter
org.apache.zeppelin.spark.SparkInterpreter
INFO [2019-03-15 16:22:33,170] ({pool-2-thread-3}
RemoteInterpreter.java[call]:168) - Create RemoteInterpreter
org.apache.zeppelin.spark.SparkSqlInterpreter
INFO [2019-03-15 16:22:33,173] ({pool-2-thread-3}
RemoteInterpreter.java[call]:168) - Create RemoteInterpreter
org.apache.zeppelin.spark.DepInterpreter
INFO [2019-03-15 16:22:33,181] ({pool-2-thread-3}
RemoteInterpreter.java[call]:168) - Create RemoteInterpreter
org.apache.zeppelin.spark.PySparkInterpreter
INFO [2019-03-15 16:22:33,189] ({pool-2-thread-3}
RemoteInterpreter.java[call]:168) - Create RemoteInterpreter
org.apache.zeppelin.spark.IPySparkInterpreter
INFO [2019-03-15 16:22:33,198] ({pool-2-thread-3}
RemoteInterpreter.java[call]:168) - Create RemoteInterpreter
org.apache.zeppelin.spark.SparkRInterpreter
INFO [2019-03-15 16:22:33,200] ({pool-2-thread-3}
RemoteInterpreter.java[call]:142) - Open RemoteInterpreter
org.apache.zeppelin.spark.SparkInterpreter
INFO [2019-03-15 16:22:33,201] ({pool-2-thread-3}
RemoteInterpreter.java[pushAngularObjectRegistryToRemote]:436) - Push local
angular object registry from ZeppelinServer to remote interpreter group
spark:shared_process
WARN [2019-03-15 16:22:35,054] ({pool-2-thread-3}
NotebookServer.java[afterStatusChange]:2316) - Job 20190304-085834_2122705886
is finished, status: ERROR, exception: null, result: %text
java.lang.NumberFormatException: Not a version: 9
at scala.util.PropertiesTrait$class.parts$1(Properties.scala:184)
at scala.util.PropertiesTrait$class.isJavaAtLeast(Properties.scala:187)
at scala.util.Properties$.isJavaAtLeast(Properties.scala:17)
at
scala.tools.util.PathResolverBase$Calculated$.javaBootClasspath(PathResolver.scala:276)
at scala.tools.util.PathResolverBase$Calculated$.basis(PathResolver.scala:283)
at
scala.tools.util.PathResolverBase$Calculated$.containers$lzycompute(PathResolver.scala:293)
at
scala.tools.util.PathResolverBase$Calculated$.containers(PathResolver.scala:293)
at scala.tools.util.PathResolverBase.containers(PathResolver.scala:309)
at scala.tools.util.PathResolver.computeResult(PathResolver.scala:341)
at scala.tools.util.PathResolver.computeResult(PathResolver.scala:332)
at scala.tools.util.PathResolverBase.result(PathResolver.scala:314)
at scala.tools.nsc.backend.JavaPlatform$class.classPath(JavaPlatform.scala:28)
at scala.tools.nsc.Global$GlobalPlatform.classPath(Global.scala:115)
at
scala.tools.nsc.Global.scala$tools$nsc$Global$$recursiveClassPath(Global.scala:131)
at scala.tools.nsc.Global$GlobalMirror.rootLoader(Global.scala:64)
at scala.reflect.internal.Mirrors$Roots$RootClass.<init>(Mirrors.scala:307)
at scala.reflect.internal.Mirrors$Roots.RootClass$lzycompute(Mirrors.scala:321)
at scala.reflect.internal.Mirrors$Roots.RootClass(Mirrors.scala:321)
at
scala.reflect.internal.Mirrors$Roots$EmptyPackageClass.<init>(Mirrors.scala:330)
at
scala.reflect.internal.Mirrors$Roots.EmptyPackageClass$lzycompute(Mirrors.scala:336)
at scala.reflect.internal.Mirrors$Roots.EmptyPackageClass(Mirrors.scala:336)
at scala.reflect.internal.Mirrors$Roots.EmptyPackageClass(Mirrors.scala:276)
at scala.reflect.internal.Mirrors$RootsBase.init(Mirrors.scala:250)
at scala.tools.nsc.Global.rootMirror$lzycompute(Global.scala:73)
at scala.tools.nsc.Global.rootMirror(Global.scala:71)
at scala.tools.nsc.Global.rootMirror(Global.scala:39)
at
scala.reflect.internal.Definitions$DefinitionsClass.ObjectClass$lzycompute(Definitions.scala:257)
at
scala.reflect.internal.Definitions$DefinitionsClass.ObjectClass(Definitions.scala:257)
at
scala.reflect.internal.Definitions$DefinitionsClass.init(Definitions.scala:1390)
at scala.tools.nsc.Global$Run.<init>(Global.scala:1242)
at
scala.tools.nsc.interpreter.IMain.scala$tools$nsc$interpreter$IMain$$_initialize(IMain.scala:139)
at scala.tools.nsc.interpreter.IMain.initializeSynchronous(IMain.scala:161)
at
org.apache.zeppelin.spark.SparkScala211Interpreter.open(SparkScala211Interpreter.scala:85)
at
org.apache.zeppelin.spark.NewSparkInterpreter.open(NewSparkInterpreter.java:102)
at org.apache.zeppelin.spark.SparkInterpreter.open(SparkInterpreter.java:62)
at
org.apache.zeppelin.interpreter.LazyOpenInterpreter.open(LazyOpenInterpreter.java:69)
at
org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer$InterpretJob.jobRun(RemoteInterpreterServer.java:616)
at org.apache.zeppelin.scheduler.Job.run(Job.java:188)
at org.apache.zeppelin.scheduler.FIFOScheduler$1.run(FIFOScheduler.java:140)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
at
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748){code}
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