SPARK java.net.NoRouteToHostException:没有到主机的路由

你好

我正在尝试运行以下链接中提供的spark的scala示例：

我使用以下命令启动spark shell（我添加了端口号，因为端口4040-4045已经在使用中）

一旦进入spark，我尝试输入提供的三行，但在第二行，它给出了“无主机路径”投诉：

scala> ^C^C[twagenhals@login-1 downloads]$ spark-shell --master local --conf spark.ui.port=4047
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
Spark context Web UI available at http://login-1:4047
Spark context available as 'sc' (master = local, app id = local-1554323767110).
Spark session available as 'spark'.
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 2.4.0
      /_/

Using Scala version 2.11.12 (OpenJDK 64-Bit Server VM, Java 1.8.0_171)
Type in expressions to have them evaluated.
Type :help for more information.

scala> var map = sc.textFile("wordcount_input.txt").flatMap(line => line.split(" ")).map(word => (word,1));
map: org.apache.spark.rdd.RDD[(String, Int)] = MapPartitionsRDD[3] at map at <console>:24

scala> var counts = map.reduceByKey(_ + _);
java.net.NoRouteToHostException: No Route to Host from  login-1/10.2.0.2 to localhost:9000 failed on socket timeout exception: java.net.NoRouteToHostException: No route to host; For more details see:  http://wiki.apache.org/hadoop/NoRouteToHost
  at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
  at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
  at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
  at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
  at org.apache.hadoop.net.NetUtils.wrapWithMessage(NetUtils.java:792)
  at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:758)
  at org.apache.hadoop.ipc.Client.call(Client.java:1479)
  at org.apache.hadoop.ipc.Client.call(Client.java:1412)
  at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:229)
  at com.sun.proxy.$Proxy23.getFileInfo(Unknown Source)
  at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getFileInfo(ClientNamenodeProtocolTranslatorPB.java:771)
  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:498)
  at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:191)
  at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
  at com.sun.proxy.$Proxy24.getFileInfo(Unknown Source)
  at org.apache.hadoop.hdfs.DFSClient.getFileInfo(DFSClient.java:2108)
  at org.apache.hadoop.hdfs.DistributedFileSystem$22.doCall(DistributedFileSystem.java:1305)
  at org.apache.hadoop.hdfs.DistributedFileSystem$22.doCall(DistributedFileSystem.java:1301)
  at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
  at org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:1317)
  at org.apache.hadoop.fs.Globber.getFileStatus(Globber.java:57)
  at org.apache.hadoop.fs.Globber.glob(Globber.java:252)
  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.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.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.Partitioner$$anonfun$4.apply(Partitioner.scala:78)
  at org.apache.spark.Partitioner$$anonfun$4.apply(Partitioner.scala:78)
  at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
  at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
  at scala.collection.immutable.List.foreach(List.scala:392)
  at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
  at scala.collection.immutable.List.map(List.scala:296)
  at org.apache.spark.Partitioner$.defaultPartitioner(Partitioner.scala:78)
  at org.apache.spark.rdd.PairRDDFunctions$$anonfun$reduceByKey$3.apply(PairRDDFunctions.scala:326)
  at org.apache.spark.rdd.PairRDDFunctions$$anonfun$reduceByKey$3.apply(PairRDDFunctions.scala:326)
  at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
  at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
  at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
  at org.apache.spark.rdd.PairRDDFunctions.reduceByKey(PairRDDFunctions.scala:325)
  ... 49 elided
Caused by: java.net.NoRouteToHostException: No route to host
  at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
  at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717)
  at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:206)
  at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:531)
  at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:495)
  at org.apache.hadoop.ipc.Client$Connection.setupConnection(Client.java:614)
  at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:712)
  at org.apache.hadoop.ipc.Client$Connection.access$2900(Client.java:375)
  at org.apache.hadoop.ipc.Client.getConnection(Client.java:1528)
  at org.apache.hadoop.ipc.Client.call(Client.java:1451)
  ... 105 more

scala>^C^C[twagenhals@login-1下载]$sparkshell--master local--conf spark.ui.port=4047
将默认日志级别设置为“警告”。
要调整日志记录级别，请使用sc.setLogLevel（newLevel）。对于SparkR，使用setLogLevel（newLevel）。
Spark上下文Web UI可在http://login-1:4047
Spark上下文可用作“sc”（主服务器=本地，应用程序id=本地-1554323767110）。
Spark会话可用作“Spark”。
欢迎来到
____              __
/ __/__  ___ _____/ /__
_\ \/ _ \/ _ `/ __/  '_/
/___/.版本2.4.0
/_/
使用Scala版本2.11.12（OpenJDK 64位服务器虚拟机，Java 1.8.0_171）
键入要计算的表达式。
键入：有关详细信息的帮助。
scala>var map=sc.textFile（“wordcount_input.txt”）.flatMap（line=>line.split（“”）.map（word=>（word，1））；
map:org.apache.spark.rdd.rdd[（String，Int）]=MapPartitionsRDD[3]位于map:24处
scala>var counts=map.reduceByKey（+u3;）；
java.net.NoRouteToHostException:没有从login-1/10.2.0.2到localhost的主机路由：9000套接字超时失败异常：java.net.NoRouteToHostException:没有到主机的路由；有关更多详细信息，请参阅：http://wiki.apache.org/hadoop/NoRouteToHost
位于sun.reflect.NativeConstructorAccessorImpl.newInstance0（本机方法）
位于sun.reflect.NativeConstructorAccessorImpl.newInstance（NativeConstructorAccessorImpl.java:62）
在sun.reflect.DelegatingConstructorAccessorImpl.newInstance（DelegatingConstructorAccessorImpl.java:45）
位于java.lang.reflect.Constructor.newInstance（Constructor.java:423）
位于org.apache.hadoop.net.NetUtils.wrapWithMessage（NetUtils.java:792）
位于org.apache.hadoop.net.NetUtils.wrapException（NetUtils.java:758）
位于org.apache.hadoop.ipc.Client.call（Client.java:1479）
位于org.apache.hadoop.ipc.Client.call（Client.java:1412）
位于org.apache.hadoop.ipc.protobufrpceengine$Invoker.invoke（protobufrpceengine.java:229）
位于com.sun.proxy.$Proxy23.getFileInfo（未知源）
位于org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getFileInfo（ClientNamenodeProtocolTranslatorPB.java:771）
在sun.reflect.NativeMethodAccessorImpl.invoke0（本机方法）处
位于sun.reflect.NativeMethodAccessorImpl.invoke（NativeMethodAccessorImpl.java:62）
在sun.reflect.DelegatingMethodAccessorImpl.invoke（DelegatingMethodAccessorImpl.java:43）中
位于java.lang.reflect.Method.invoke（Method.java:498）
位于org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod（RetryInvocationHandler.java:191）
位于org.apache.hadoop.io.retry.RetryInvocationHandler.invoke（RetryInvocationHandler.java:102）
位于com.sun.proxy.$Proxy24.getFileInfo（未知源）
位于org.apache.hadoop.hdfs.DFSClient.getFileInfo（DFSClient.java:2108）
位于org.apache.hadoop.hdfs.DistributedFileSystem$22.doCall（DistributedFileSystem.java:1305）
位于org.apache.hadoop.hdfs.DistributedFileSystem$22.doCall（DistributedFileSystem.java:1301）
位于org.apache.hadoop.fs.FileSystemLinkResolver.resolve（FileSystemLinkResolver.java:81）
位于org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus（DistributedFileSystem.java:1317）
位于org.apache.hadoop.fs.Globber.getFileStatus（Globber.java:57）
位于org.apache.hadoop.fs.Globber.glob（Globber.java:252）
位于org.apache.hadoop.fs.FileSystem.globStatus（FileSystem.java:1676）
位于org.apache.hadoop.mapred.FileInputFormat.singleThreadedListStatus（FileInputFormat.java:259）
位于org.apache.hadoop.mapred.FileInputFormat.listStatus（FileInputFormat.java:229）
位于org.apache.hadoop.mapred.FileInputFormat.getSplits（FileInputFormat.java:315）
位于org.apache.spark.rdd.HadoopRDD.getPartitions（HadoopRDD.scala:204）
位于org.apache.spark.rdd.rdd$$anonfun$partitions$2.apply（rdd.scala:253）
位于org.apache.spark.rdd.rdd$$anonfun$partitions$2.apply（rdd.scala:251）
位于scala.Option.getOrElse（Option.scala:121）
位于org.apache.spark.rdd.rdd.partitions（rdd.scala:251）
位于org.apache.spark.rdd.MapPartitionsRDD.getPartitions（MapPartitionsRDD.scala:49）
位于org.apache.spark.rdd.rdd$$anonfun$partitions$2.apply（rdd.scala:253）
位于org.apache.spark.rdd.rdd$$anonfun$partitions$2.apply（rdd.scala:251）
位于scala.Option.getOrElse（Option.scala:121）
位于org.apache.spark.rdd.rdd.partitions（rdd.scala:251）
位于org.apache.spark.rdd.MapPartitionsRDD.getPartitions（MapPartitionsRDD.scala:49）
位于org.apache.spark.rdd.rdd$$anonfun$partitions$2.apply（rdd.scala:253）
位于org.apache.spark.rdd.rdd$$anonfun$partitions$2.apply（rdd.scala:251）
位于scala.Option.getOrElse（Option.scala:121）
位于org.apache.spark.rdd.rdd.partitions（rdd.scala:251）
位于org.apache.spark.rdd.MapPartitionsRDD.getPartitions（MapPartitionsRDD.scala:49）
位于org.apache.spark.rdd.rdd$$anonfun$partitions$2.apply（rdd.scala:253）
位于org.apache.spark.rdd.rdd$$anonfun$partitions$2.apply（rdd.scala:251）
位于scala.Option.getOrElse（Option.scala:121）
位于org.apache.spark.rdd.rdd.partitions（rdd.scala:251）
位于org.apache.spark.Partitioner$$anonfun$4.apply（Partitioner.scala:78）
位于org.apache.spark.Partitioner$$anonfun$4.apply（Partitioner.scala:78）
在scala.collection.TraversableLike$$anonfun$map$1.apply处（TraversableLike.scala:234）
在scala.collection.TraversableLike$$anonfun$map$1.apply处（TraversableLike.scala:234）
位于scala.collection.immutable.List.foreach（List.scala:392）
位于scala.collection.TraversableLike$class.map（TraversableLike.scala:234）
位于scala.collection.immutable.List.map（List.scala:296）
位于org.apache.spark.Partitioner$.defaultPartitioner（Partitioner.scala:78）
位于org.apache.spark.rdd.pairddfunctions$$anonfun$reduceByKey$3.apply（pairddfunctions.scala:326）
在org.apache.spark.rdd.pairrdFunctions$$anonfun$reduceByKey$3.apply（成对
scala> ^C^C[twagenhals@login-1 downloads]$ spark-shell --master local --conf spark.ui.port=4047
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
Spark context Web UI available at http://login-1:4047
Spark context available as 'sc' (master = local, app id = local-1554323767110).
Spark session available as 'spark'.
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 2.4.0
      /_/

Using Scala version 2.11.12 (OpenJDK 64-Bit Server VM, Java 1.8.0_171)
Type in expressions to have them evaluated.
Type :help for more information.

scala> var map = sc.textFile("wordcount_input.txt").flatMap(line => line.split(" ")).map(word => (word,1));
map: org.apache.spark.rdd.RDD[(String, Int)] = MapPartitionsRDD[3] at map at <console>:24

scala> var counts = map.reduceByKey(_ + _);
java.net.NoRouteToHostException: No Route to Host from  login-1/10.2.0.2 to localhost:9000 failed on socket timeout exception: java.net.NoRouteToHostException: No route to host; For more details see:  http://wiki.apache.org/hadoop/NoRouteToHost
  at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
  at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
  at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
  at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
  at org.apache.hadoop.net.NetUtils.wrapWithMessage(NetUtils.java:792)
  at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:758)
  at org.apache.hadoop.ipc.Client.call(Client.java:1479)
  at org.apache.hadoop.ipc.Client.call(Client.java:1412)
  at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:229)
  at com.sun.proxy.$Proxy23.getFileInfo(Unknown Source)
  at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getFileInfo(ClientNamenodeProtocolTranslatorPB.java:771)
  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:498)
  at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:191)
  at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
  at com.sun.proxy.$Proxy24.getFileInfo(Unknown Source)
  at org.apache.hadoop.hdfs.DFSClient.getFileInfo(DFSClient.java:2108)
  at org.apache.hadoop.hdfs.DistributedFileSystem$22.doCall(DistributedFileSystem.java:1305)
  at org.apache.hadoop.hdfs.DistributedFileSystem$22.doCall(DistributedFileSystem.java:1301)
  at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
  at org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:1317)
  at org.apache.hadoop.fs.Globber.getFileStatus(Globber.java:57)
  at org.apache.hadoop.fs.Globber.glob(Globber.java:252)
  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.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.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.Partitioner$$anonfun$4.apply(Partitioner.scala:78)
  at org.apache.spark.Partitioner$$anonfun$4.apply(Partitioner.scala:78)
  at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
  at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
  at scala.collection.immutable.List.foreach(List.scala:392)
  at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
  at scala.collection.immutable.List.map(List.scala:296)
  at org.apache.spark.Partitioner$.defaultPartitioner(Partitioner.scala:78)
  at org.apache.spark.rdd.PairRDDFunctions$$anonfun$reduceByKey$3.apply(PairRDDFunctions.scala:326)
  at org.apache.spark.rdd.PairRDDFunctions$$anonfun$reduceByKey$3.apply(PairRDDFunctions.scala:326)
  at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
  at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
  at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
  at org.apache.spark.rdd.PairRDDFunctions.reduceByKey(PairRDDFunctions.scala:325)
  ... 49 elided
Caused by: java.net.NoRouteToHostException: No route to host
  at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
  at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717)
  at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:206)
  at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:531)
  at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:495)
  at org.apache.hadoop.ipc.Client$Connection.setupConnection(Client.java:614)
  at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:712)
  at org.apache.hadoop.ipc.Client$Connection.access$2900(Client.java:375)
  at org.apache.hadoop.ipc.Client.getConnection(Client.java:1528)
  at org.apache.hadoop.ipc.Client.call(Client.java:1451)
  ... 105 more

[twagenhals@login-1 scripts]$ cat $HADOOP_HOME/etc/hadoop/core-site.xml
<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!--
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. See accompanying LICENSE file.
-->
<!-- Put site-specific property overrides in this file. -->
<configuration>
<property>
<name>hadoop.tmp.dir</name>
<value>/state/partition1/hadoop-twagenhals</value>
</property>
<property>
<name>fs.default.name</name>
<value>hdfs://localhost:9000</value>
</property>
</configuration>

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!--
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. See accompanying LICENSE file.
-->
<!-- Put site-specific property overrides in this file. -->
<configuration>
</configuration>