title: Why apache spark does not work with java 10? We get illegal reflective then java.lang.IllegalArgumentException
body: <p>Is there any technical reason why spark 2.3 does not work with java 1.10 (as of July 2018)? </p>
  
  <p>Here is the output when I run SparkPi example using <code>spark-submit</code>.</p>
  
  <pre><code>$ ./bin/spark-submit ./examples/src/main/python/pi.py 
  WARNING: An illegal reflective access operation has occurred
  WARNING: Illegal reflective access by org.apache.hadoop.security.authentication.util.KerberosUtil to method sun.security.krb5.Config.getInstance()
  WARNING: Please consider reporting this to the maintainers of org.apache.hadoop.security.authentication.util.KerberosUtil
  WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations
  WARNING: All illegal access operations will be denied in a future release
  2018-07-13 14:31:30 WARN  NativeCodeLoader:62 - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
  2018-07-13 14:31:31 INFO  SparkContext:54 - Running Spark version 2.3.1
  2018-07-13 14:31:31 INFO  SparkContext:54 - Submitted application: PythonPi
  2018-07-13 14:31:31 INFO  Utils:54 - Successfully started service 'sparkDriver' on port 58681.
  2018-07-13 14:31:31 INFO  SparkEnv:54 - Registering MapOutputTracker
  2018-07-13 14:31:31 INFO  SparkEnv:54 - Registering BlockManagerMaster
  2018-07-13 14:31:31 INFO  BlockManagerMasterEndpoint:54 - Using org.apache.spark.storage.DefaultTopologyMapper for getting topology information
  2018-07-13 14:31:31 INFO  BlockManagerMasterEndpoint:54 - BlockManagerMasterEndpoint up
  2018-07-13 14:31:31 INFO  DiskBlockManager:54 - Created local directory at /private/var/folders/mp/9hp4l4md4dqgmgyv7g58gbq0ks62rk/T/blockmgr-d24fab4c-c858-4cd8-9b6a-97b02aa630a5
  2018-07-13 14:31:31 INFO  MemoryStore:54 - MemoryStore started with capacity 434.4 MB
  2018-07-13 14:31:31 INFO  SparkEnv:54 - Registering OutputCommitCoordinator
  ...
  2018-07-13 14:31:32 INFO  StateStoreCoordinatorRef:54 - Registered StateStoreCoordinator endpoint
  Traceback (most recent call last):
    File "~/Documents/spark-2.3.1-bin-hadoop2.7/./examples/src/main/python/pi.py", line 44, in &lt;module&gt;
      count = spark.sparkContext.parallelize(range(1, n + 1), partitions).map(f).reduce(add)
    File "~/Documents/spark-2.3.1-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/rdd.py", line 862, in reduce
    File "~/Documents/spark-2.3.1-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/rdd.py", line 834, in collect
    File "~/Documents/spark-2.3.1-bin-hadoop2.7/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1257, in __call__
    File "~/Documents/spark-2.3.1-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, in deco
    File "~/Documents/spark-2.3.1-bin-hadoop2.7/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 328, in get_return_value
  py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe.
  : java.lang.IllegalArgumentException
      at org.apache.xbean.asm5.ClassReader.&lt;init&gt;(Unknown Source)
      at org.apache.xbean.asm5.ClassReader.&lt;init&gt;(Unknown Source)
      at org.apache.xbean.asm5.ClassReader.&lt;init&gt;(Unknown Source)
      at org.apache.spark.util.ClosureCleaner$.getClassReader(ClosureCleaner.scala:46)
      at org.apache.spark.util.FieldAccessFinder$$anon$3$$anonfun$visitMethodInsn$2.apply(ClosureCleaner.scala:449)
      at org.apache.spark.util.FieldAccessFinder$$anon$3$$anonfun$visitMethodInsn$2.apply(ClosureCleaner.scala:432)
      at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733)
      at scala.collection.mutable.HashMap$$anon$1$$anonfun$foreach$2.apply(HashMap.scala:103)
      at scala.collection.mutable.HashMap$$anon$1$$anonfun$foreach$2.apply(HashMap.scala:103)
      at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:230)
      at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:40)
      at scala.collection.mutable.HashMap$$anon$1.foreach(HashMap.scala:103)
      at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:732)
      at org.apache.spark.util.FieldAccessFinder$$anon$3.visitMethodInsn(ClosureCleaner.scala:432)
      at org.apache.xbean.asm5.ClassReader.a(Unknown Source)
      at org.apache.xbean.asm5.ClassReader.b(Unknown Source)
      at org.apache.xbean.asm5.ClassReader.accept(Unknown Source)
      at org.apache.xbean.asm5.ClassReader.accept(Unknown Source)
      at org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:262)
      at org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:261)
      at scala.collection.immutable.List.foreach(List.scala:381)
      at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:261)
      at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:159)
      at org.apache.spark.SparkContext.clean(SparkContext.scala:2299)
      at org.apache.spark.SparkContext.runJob(SparkContext.scala:2073)
      at org.apache.spark.SparkContext.runJob(SparkContext.scala:2099)
      at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:939)
      at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
      at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
      at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
      at org.apache.spark.rdd.RDD.collect(RDD.scala:938)
      at org.apache.spark.api.python.PythonRDD$.collectAndServe(PythonRDD.scala:162)
      at org.apache.spark.api.python.PythonRDD.collectAndServe(PythonRDD.scala)
      at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
      at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
      at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
      at java.base/java.lang.reflect.Method.invoke(Method.java:564)
      at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
      at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
      at py4j.Gateway.invoke(Gateway.java:282)
      at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
      at py4j.commands.CallCommand.execute(CallCommand.java:79)
      at py4j.GatewayConnection.run(GatewayConnection.java:238)
      at java.base/java.lang.Thread.run(Thread.java:844)
  
  2018-07-13 14:31:33 INFO  SparkContext:54 - Invoking stop() from shutdown hook
  ...
  </code></pre>
  
  <p>I resolved the issue by switching to Java8 instead of Java10 as mentioned <a href="https://stackoverflow.com/questions/49167656/error-while-running-collect-in-pyspark">here</a>.</p>