我正在尝试运行一个测试spark脚本，以便将spark连接到hadoop。脚本如下

from pyspark import SparkContext

sc = SparkContext("local", "Simple App")
file = sc.textFile("hdfs://hadoop_node.place:9000/errs.txt")
errors = file.filter(lambda line: "ERROR" in line)
errors.count()

当我用Pypark运行它时
py4j.protocol.py4jjavaerror:调用o21.collect时出错：java.io.ioexception:无法在org.apache.hadoop.mapreduce.security.tokencache.obtaintokensfornamenodesinternal（tokencache）获取用作续订程序的主kerberos主体。java:116)在org.apache.hadoop.mapreduce.security.tokencache.obtaintokensfornamenodesinternal（tokencache。java:100)在org.apache.hadoop.mapreduce.security.tokencache.obtaintokensfornamenodes（令牌缓存）。java:80)在org.apache.hadoop.mapred.fileinputformat.liststatus（fileinputformat。java:187)位于org.apache.hadoop.mapred.fileinputformat.getsplits（fileinputformat）。java:251)在org.apache.spark.rdd.hadooprdd.getpartitions（hadooprdd。scala:140)在org.apache.spark.rdd.rdd$$anonfun$分区$2.apply（rdd。scala:207)在org.apache.spark.rdd.rdd$$anonfun$partitions$2.apply（rdd。scala:205)在scala.option.getorelse（option。scala:120)在org.apache.spark.rdd.rdd.partitions（rdd。scala:205)在org.apache.spark.rdd.mappedrdd.getpartitions（mappedrdd。scala:28)在org.apache.spark.rdd.rdd$$anonfun$分区$2.apply（rdd。scala:207)在org.apache.spark.rdd.rdd$$anonfun$partitions$2.apply（rdd。scala:205)在scala.option.getorelse（option。scala:120)在org.apache.spark.rdd.rdd.partitions（rdd。scala:205)在org.apache.spark.api.pythonrdd.getpartitions（pythonrdd。scala:46)在org.apache.spark.rdd.rdd$$anonfun$分区$2.apply（rdd。scala:207)在org.apache.spark.rdd.rdd$$anonfun$partitions$2.apply（rdd。scala:205)在scala.option.getorelse（option。scala:120)在org.apache.spark.rdd.rdd.partitions（rdd。scala:205)在org.apache.spark.sparkcontext.runjob（sparkcontext。scala:898)在org.apache.spark.rdd.rdd.collect（rdd。scala:608)在org.apache.spark.api.java.javarddlike$class.collect（javarddlike。scala:243)在org.apache.spark.api.java.javardd.collect（javardd。scala:27)在sun.reflect.nativemethodaccessorimpl.invoke0（本机方法）在sun.reflect.nativemethodaccessorimpl.invoke（nativemethodaccessorimpl）。java:57)在sun.reflect.delegatingmethodaccessorimpl.invoke（delegatingmethodaccessorimpl。java:43)在java.lang.reflect.method.invoke（方法。java:606)在py4j.reflection.methodinvoker.invoke（methodinvoker。java:231)在py4j.reflection.reflectionengine.invoke（reflectionengine。java:379)在py4j.gateway.invoke（gateway。java:259)在py4j.commands.abstractcommand.invokemethod（abstractcommand。java:132)在py4j.commands.callcommand.execute（callcommand。java:79)在py4j.gatewayconnection.run（网关连接。java:207)在java.lang.thread.run（线程。java:744)
尽管事实上
我做了一个kinit和klist显示我有正确的代币
当我发布一个./bin/hadoop fs-lshdfs://hadoop_node.place：9000/errs.txt显示文件
本地hadoop客户端和spark都有相同的配置文件
spark/conf和hadoop/conf文件夹中的core-site.xml如下（从一个hadoop节点获得）

<configuration>
    <property>

        <name>hadoop.security.auth_to_local</name>
        <value>
            RULE:[1:$1](.*@place)s/@place//
            RULE:[2:$1/$2@$0](.*/node1.place@place)s/^([a-zA-Z]*).*/$1/
            RULE:[2:$1/$2@$0](.*/node2.place@place)s/^([a-zA-Z]*).*/$1/
            RULE:[2:$1/$2@$0](.*/node3.place@place)s/^([a-zA-Z]*).*/$1/
            RULE:[2:$1/$2@$0](.*/node4.place@place)s/^([a-zA-Z]*).*/$1/
            RULE:[2:$1/$2@$0](.*/node5.place@place)s/^([a-zA-Z]*).*/$1/
            RULE:[2:$1/$2@$0](.*/node6.place@place)s/^([a-zA-Z]*).*/$1/
            RULE:[2:$1/$2@$0](.*/node7.place@place)s/^([a-zA-Z]*).*/$1/
            RULE:[2:nobody]
            DEFAULT
        </value>
    </property>
    <property>
        <name>net.topology.node.switch.mapping.impl</name>
        <value>org.apache.hadoop.net.TableMapping</value>
    </property>
    <property>
        <name>net.topology.table.file.name</name>
        <value>/etc/hadoop/conf/topology.table.file</value>
    </property>
    <property>
        <name>fs.defaultFS</name>
        <value>hdfs://server.place:9000/</value>
    </property>
    <property>
      <name>hadoop.security.authentication</name>
      <value>kerberos</value>
    </property>

    <property>
      <name>hadoop.security.authorization</name>
      <value>true</value>
    </property>

    <property>
      <name>hadoop.proxyuser.hive.hosts</name>
      <value>*</value>
    </property>

    <property>
      <name>hadoop.proxyuser.hive.groups</name>
      <value>*</value>
    </property>

</configuration>

有人能指出我遗漏了什么吗？