为什么dataframe.show（）使我的程序在PyCharm中崩溃但在终端中没有崩溃

时间：2019-03-27 16:01:52

标签： python pyspark pycharm

我正在尝试运行一个简单的pyspark示例，出于学习目的，我将该示例编写为自己：

from pyspark import SQLContext
from pyspark import SparkContext
from pyspark.sql.types import StringType
from pyspark.sql.functions import udf

from urllib.parse import urlsplit

def extractPath(host, url):
    if host in url:
        return urlsplit(url).path
    else:
        return '-'


sc = SparkContext.getOrCreate()

sqlContext = SQLContext(sc)

# preconstruct custom spark functions, used in method processFile
getPathUdf = udf(extractPath, StringType())

df = sqlContext.read.csv(
    path="resources/smalldatafile.csv",
    header=True,
    inferSchema=True
)

previousPagePathField = 'previous page path'
hostnameField = 'host name'
dataCsRefererField = 'data_cs_referer'

# do mappings
dfMapped = (
    df
        .withColumnRenamed('data_cs_host', hostnameField)
)

# split referrer url
print(previousPagePathField)
print(hostnameField)
print(dataCsRefererField)
print(getPathUdf(hostnameField, dataCsRefererField))
dfRefUrl = dfMapped.withColumn(previousPagePathField, getPathUdf(hostnameField, dataCsRefererField))
dfRefUrl.show(1)

最后一行使用跟踪使我的程序崩溃：

2019-03-27 16:49:43 WARN  Utils:66 - Truncated the string representation of a plan since it was too large. This behavior can be adjusted by setting 'spark.debug.maxToStringFields' in SparkEnv.conf.
Traceback (most recent call last):
  File "/home/me/spark/venv/lib/python3.6/site-packages/pyspark/sql/utils.py", line 63, in deco
    return f(*a, **kw)
  File "/home/me/spark/venv/lib/python3.6/site-packages/py4j/protocol.py", line 328, in get_return_value
    format(target_id, ".", name), value)
py4j.protocol.Py4JJavaError: An error occurred while calling o46.showString.
: 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.rdd.RDD$$anonfun$mapPartitions$1.apply(RDD.scala:798)
    at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1.apply(RDD.scala:797)
    at org.apache.spark.rdd.RDDOperationScope$.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.mapPartitions(RDD.scala:797)
    at org.apache.spark.sql.execution.python.EvalPythonExec.doExecute(EvalPythonExec.scala:89)
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
    at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
    at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
    at org.apache.spark.sql.execution.InputAdapter.inputRDDs(WholeStageCodegenExec.scala:374)
    at org.apache.spark.sql.execution.ProjectExec.inputRDDs(basicPhysicalOperators.scala:41)
    at org.apache.spark.sql.execution.WholeStageCodegenExec.doExecute(WholeStageCodegenExec.scala:610)
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
    at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
    at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
    at org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:247)
    at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:339)
    at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38)
    at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:3384)
    at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2545)
    at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2545)
    at org.apache.spark.sql.Dataset$$anonfun$53.apply(Dataset.scala:3365)
    at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78)
    at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
    at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
    at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3364)
    at org.apache.spark.sql.Dataset.head(Dataset.scala:2545)
    at org.apache.spark.sql.Dataset.take(Dataset.scala:2759)
    at org.apache.spark.sql.Dataset.getRows(Dataset.scala:255)
    at org.apache.spark.sql.Dataset.showString(Dataset.scala:292)
    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:

Traceback (most recent call last):
  File "/home/me/spark/webtrends-processing/playground.py", line 44, in <module>
    dfRefUrl.show(1)
  File "/home/me/spark/venv/lib/python3.6/site-packages/pyspark/sql/dataframe.py", line 378, in show
    print(self._jdf.showString(n, 20, vertical))
  File "/home/me/spark/venv/lib/python3.6/site-packages/py4j/java_gateway.py", line 1257, in __call__
    answer, self.gateway_client, self.target_id, self.name)
  File "/home/me/spark/venv/lib/python3.6/site-packages/pyspark/sql/utils.py", line 79, in deco
    raise IllegalArgumentException(s.split(': ', 1)[1], stackTrace)
pyspark.sql.utils.IllegalArgumentException: 'Unsupported class file major version 55'

将show(1)更改为show()会导致相同的崩溃。我在python 3.6上使用pyspark 2.4.0。我的JAVA_HOME设置为/usr/lib/jvm/java-8-openjdk-amd64。此外，在终端中运行该程序不会导致崩溃。因此，我被认为这与某种PyCharm配置有关，这是我正在使用的IDE。

1 个答案:

答案 0 :(得分：0)

TLDR； PyCharm的问题指向正确的JDK

我今天遇到了同样的问题。我只是通过在PyCharm的运行时配置中将JAVA_HOME变量设置为Java 8 SE安装的主目录来解决此问题。就我而言，JAVA_HOME=/Library/Java/JavaVirtualMachines/jdk1.8.0_92.jdk/Contents/home

  

我的JAVA_HOME设置为/ usr / lib / jvm / java-8-openjdk-amd64

这是指您的实际环境变量JAVA_HOME（即，在终端上键入echo $JAVA_HOME时得到的结果），还是在PyCharm的运行时配置中设置的环境变量？因为PyCharm仅知道后者，因为JAVA_HOME不是系统范围的变量。

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