我正在做一个简短的应用程序,根据它们的出现次数,它会告诉您最大的Marvel电影数据集中哪个是最受欢迎的英雄。
我已经从Anaconda环境和控制台安装了Pyspark,以尝试解决此错误而没有结果。我还为conda安装了Java-jdk,但也没有结果。
我得到的错误如下:
py4j.protocol.Py4JJavaError: An error occurred while calling o24.partitions.
: java.lang.IllegalArgumentException: java.net.URISyntaxException: Relative path in absolute URI: 2018:19
at org.apache.hadoop.fs.Path.initialize(Path.java:205)
at org.apache.hadoop.fs.Path.<init>(Path.java:171)
at org.apache.hadoop.fs.Path.<init>(Path.java:93)
at org.apache.hadoop.fs.Globber.glob(Globber.java:211)
at org.apache.hadoop.fs.FileSystem.globStatus(FileSystem.java:1676)
at org.apache.hadoop.mapred.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:259)
at org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:229)
at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:315)
at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:204)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)
at org.apache.spark.api.java.JavaRDDLike$class.partitions(JavaRDDLike.scala:61)
at org.apache.spark.api.java.AbstractJavaRDDLike.partitions(JavaRDDLike.scala:45)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:483)
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.lang.Thread.run(Thread.java:745)
Caused by: java.net.URISyntaxException: Relative path in absolute URI: 2018:19
at java.net.URI.checkPath(URI.java:1823)
at java.net.URI.<init>(URI.java:745)
at org.apache.hadoop.fs.Path.initialize(Path.java:202)
... 30 more
这是我的代码:
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Mar 20 13:33:45 2019
@author: Carlos
"""
from pyspark import SparkConf, SparkContext
import collections
conf = SparkConf().setMaster("local").setAppName("personaje_mas_popular")
sc=SparkContext(conf=conf)
def numerocoapariciones(linea):
elementos = linea.split()
return (int(elementos[0]), len(elementos)-1)
def codificarnombres(linea):
fields = linea.split('\"')
return (int(fields[0]), fields[1].encode("utf8"))
nombres = sc.textFile("./Marvel/Marvel-names.txt")
nombresrdd=nombres.map(codificarnombres)
lines = sc.textFile("./Marvel/Marvel-graph.txt")
emparejar = lines.map(numerocoapariciones)
totalapariciones = emparejar.reduceByKey(lambda x,y :x + y)
flipped = totalapariciones.map(lambda xy: (xy[1], xy[0]))
maspopular = flipped.max()
nombremaspopular = nombresrdd.lookup(maspopular[1])[0]
print("Héroe más popular: \n" + str(nombremaspopular))
我缺少图书馆吗?是版本问题吗?我正在运行Python 3.7.0,Pyspark 2.4.0并在Spyder(Anaconda环境)上编写代码。
答案 0 :(得分:1)
尝试了不同的事情之后,这是最简单的事情:文件路径问题。
我的.py文件和.txt文件的原始路径都包含一个“:”,我在多个站点中读取的内容在读取文件路径时可能会导致错误。我只是将.py和.txt都移到了其他路径(Desktop,使事情变得100%简单),并且运行良好。
在解决此问题的过程中,我还遇到一个问题,即从终端更新pyspark之后,Anaconda Environment无法启动,因此我使用以下命令更新了python并再次使用了魅力:
conda update python -yn root
(我知道最后一个问题是题外话,但是,希望有一天能对某人有所帮助)