java - 非法参数异常 : 'Unsupported class file major version 55'

Question

我正在 Coursera 上做“高级机器学习和信号处理”作业。我遇到了这个错误“Py4JavaEror”。这是本类(class)的第一个作业。据说是在 IBM Watson studio 中完成的，但在 IBM Watson studio 中完成太复杂了，我在 google Colab 中完成。这是我的代码:

from IPython.display import Markdown, display
def printmd(string):
   display(Markdown('# <span style="color:red">'+string+'</span>'))

if ('sc' in locals() or 'sc' in globals()):
   printmd('<<<<<!!!!! It seems that you are running in a IBM Watson Studio!>>>>>')

!pip install pyspark==2.4.5
try:
    from pyspark import SparkContext, SparkConf
    from pyspark.sql import SparkSession
except ImportError as e:
    printmd('<<<<<!!!!! Please restart your kernel after installing Apache Spark !!!!!>>>>>')


sc = SparkContext.getOrCreate(SparkConf().setMaster("local[*]"))
spark = SparkSession \
           .builder \
           .getOrCreate()

df=spark.read.load('a2.parquet')

df.createOrReplaceTempView("df")
spark.sql("SELECT * from df").show()

错误如下:

---------------------------------------------------------------------------
Py4JJavaError                             Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/pyspark/sql/utils.py in deco(*a, **kw)
     62         try:
---> 63             return f(*a, **kw)
     64         except py4j.protocol.Py4JJavaError as e:

4 frames
Py4JJavaError: An error occurred while calling o530.load.
: java.lang.IllegalArgumentException: Unsupported class file major version 55
    at org.apache.xbean.asm6.ClassReader.<init>(ClassReader.java:166)
    at org.apache.xbean.asm6.ClassReader.<init>(ClassReader.java:148)
    at org.apache.xbean.asm6.ClassReader.<init>(ClassReader.java:136)
    at org.apache.xbean.asm6.ClassReader.<init>(ClassReader.java:237)
    at org.apache.spark.util.ClosureCleaner$.getClassReader(ClosureCleaner.scala:49)
    at org.apache.spark.util.FieldAccessFinder$$anon$3$$anonfun$visitMethodInsn$2.apply(ClosureCleaner.scala:517)
    at org.apache.spark.util.FieldAccessFinder$$anon$3$$anonfun$visitMethodInsn$2.apply(ClosureCleaner.scala:500)
    at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733)
    at scala.collection.mutable.HashMap$$anon$1$$anonfun$foreach$2.apply(HashMap.scala:134)
    at scala.collection.mutable.HashMap$$anon$1$$anonfun$foreach$2.apply(HashMap.scala:134)
    at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:236)
    at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:40)
    at scala.collection.mutable.HashMap$$anon$1.foreach(HashMap.scala:134)
    at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:732)
    at org.apache.spark.util.FieldAccessFinder$$anon$3.visitMethodInsn(ClosureCleaner.scala:500)
    at org.apache.xbean.asm6.ClassReader.readCode(ClassReader.java:2175)
    at org.apache.xbean.asm6.ClassReader.readMethod(ClassReader.java:1238)
    at org.apache.xbean.asm6.ClassReader.accept(ClassReader.java:631)
    at org.apache.xbean.asm6.ClassReader.accept(ClassReader.java:355)
    at org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:307)
    at org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:306)
    at scala.collection.immutable.List.foreach(List.scala:392)
    at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:306)
    at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:162)
    at org.apache.spark.SparkContext.clean(SparkContext.scala:2326)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2100)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2126)
    at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:990)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
    at org.apache.spark.rdd.RDD.withScope(RDD.scala:385)
    at org.apache.spark.rdd.RDD.collect(RDD.scala:989)
    at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$.mergeSchemasInParallel(ParquetFileFormat.scala:633)
    at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat.inferSchema(ParquetFileFormat.scala:241)
    at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$6.apply(DataSource.scala:180)
    at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$6.apply(DataSource.scala:180)
    at scala.Option.orElse(Option.scala:289)
    at org.apache.spark.sql.execution.datasources.DataSource.getOrInferFileFormatSchema(DataSource.scala:179)
    at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:373)
    at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:223)
    at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:211)
    at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:178)
    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:566)
    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:834)


During handling of the above exception, another exception occurred:

IllegalArgumentException                  Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/pyspark/sql/utils.py in deco(*a, **kw)
     77                 raise QueryExecutionException(s.split(': ', 1)[1], stackTrace)
     78             if s.startswith('java.lang.IllegalArgumentException: '):
---> 79                 raise IllegalArgumentException(s.split(': ', 1)[1], stackTrace)
     80             raise
     81     return deco

IllegalArgumentException: 'Unsupported class file major version 55'

这里，

Answer 1

那是因为你的java运行时版本是11

Spark runs on Java 8, Python 2.7+/3.4+ and R 3.1+. For the Scala API, Spark 2.4.4 uses Scala 2.12. You will need to use a compatible Scala version (2.12.x)

尝试安装版本 8 的不同 java，并将您的 JAVA_HOME 指向新安装的 java。