java.net.connectexception:连接被拒绝

h7appiyu  于 2021-06-03  发布在  Hadoop
关注(0)|答案(16)|浏览(678)

我想在伪分布式模式下设置一个hadoop集群。我成功地执行了所有的设置步骤,包括在我的机器上启动namenode、datanode、jobtracker和tasktracker。
然后我试着运行一些示范程序,并面对 java.net.ConnectException: Connection refused 错误。我回到了在独立模式下运行某些操作的第一步,遇到了同样的问题。
我甚至对所有安装步骤进行了三次检查,不知道如何修复它(我是hadoop的新手,也是ubuntu的初学者,因此,如果提供任何指南或提示,我恳请您考虑一下。
这是我一直收到的错误输出:

hduser@marta-komputer:/usr/local/hadoop$ bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.0.jar grep input output 'dfs[a-z.]+'
15/02/22 18:23:04 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
15/02/22 18:23:04 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
java.net.ConnectException: Call From marta-komputer/127.0.1.1 to localhost:9000 failed on connection exception: java.net.ConnectException: Connection refused; For more details see:  http://wiki.apache.org/hadoop/ConnectionRefused
    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:408)
    at org.apache.hadoop.net.NetUtils.wrapWithMessage(NetUtils.java:791)
    at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:731)
    at org.apache.hadoop.ipc.Client.call(Client.java:1472)
    at org.apache.hadoop.ipc.Client.call(Client.java:1399)
    at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:232)
    at com.sun.proxy.$Proxy9.delete(Unknown Source)
    at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.delete(ClientNamenodeProtocolTranslatorPB.java:521)
    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 org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:187)
    at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
    at com.sun.proxy.$Proxy10.delete(Unknown Source)
    at org.apache.hadoop.hdfs.DFSClient.delete(DFSClient.java:1929)
    at org.apache.hadoop.hdfs.DistributedFileSystem$12.doCall(DistributedFileSystem.java:638)
    at org.apache.hadoop.hdfs.DistributedFileSystem$12.doCall(DistributedFileSystem.java:634)
    at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
    at org.apache.hadoop.hdfs.DistributedFileSystem.delete(DistributedFileSystem.java:634)
    at org.apache.hadoop.examples.Grep.run(Grep.java:95)
    at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
    at org.apache.hadoop.examples.Grep.main(Grep.java:101)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:483)
    at org.apache.hadoop.util.ProgramDriver$ProgramDescription.invoke(ProgramDriver.java:71)
    at org.apache.hadoop.util.ProgramDriver.run(ProgramDriver.java:144)
    at org.apache.hadoop.examples.ExampleDriver.main(ExampleDriver.java:74)
    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 org.apache.hadoop.util.RunJar.run(RunJar.java:221)
    at org.apache.hadoop.util.RunJar.main(RunJar.java:136)
Caused by: java.net.ConnectException: Connection refused
    at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
    at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:716)
    at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:206)
    at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:530)
    at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:494)
    at org.apache.hadoop.ipc.Client$Connection.setupConnection(Client.java:607)
    at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:705)
    at org.apache.hadoop.ipc.Client$Connection.access$2800(Client.java:368)
    at org.apache.hadoop.ipc.Client.getConnection(Client.java:1521)
    at org.apache.hadoop.ipc.Client.call(Client.java:1438)
    ... 32 more

etc/hadoop/hadoop-env.sh文件:


# The java implementation to use.

export JAVA_HOME=/usr/lib/jvm/java-8-oracle

# The jsvc implementation to use. Jsvc is required to run secure datanodes

# that bind to privileged ports to provide authentication of data transfer

# protocol.  Jsvc is not required if SASL is configured for authentication of

# data transfer protocol using non-privileged ports.

# export JSVC_HOME=${JSVC_HOME}

export HADOOP_CONF_DIR=${HADOOP_CONF_DIR:-"/etc/hadoop"}

# Extra Java CLASSPATH elements.  Automatically insert capacity-scheduler.

for f in $HADOOP_HOME/contrib/capacity-scheduler/*.jar; do
  if [ "$HADOOP_CLASSPATH" ]; then
    export HADOOP_CLASSPATH=$HADOOP_CLASSPATH:$f
  else
    export HADOOP_CLASSPATH=$f
  fi
done

# The maximum amount of heap to use, in MB. Default is 1000.

# export HADOOP_HEAPSIZE=

# export HADOOP_NAMENODE_INIT_HEAPSIZE=""

# Extra Java runtime options.  Empty by default.

export HADOOP_OPTS="$HADOOP_OPTS -Djava.net.preferIPv4Stack=true"

# Command specific options appended to HADOOP_OPTS when specified

export HADOOP_NAMENODE_OPTS="-Dhadoop.security.logger=${HADOOP_SECURITY_LOGGER:-INFO,RFAS} -Dhdfs.audit.logger=${HDFS_AUDIT_LOGGER:-INFO,NullAppender} $HADOOP_NAMENODE_OPTS"
export HADOOP_DATANODE_OPTS="-Dhadoop.security.logger=ERROR,RFAS $HADOOP_DATANODE_OPTS"

export HADOOP_SECONDARYNAMENODE_OPTS="-Dhadoop.security.logger=${HADOOP_SECURITY_LOGGER:-INFO,RFAS} -Dhdfs.audit.logger=${HDFS_AUDIT_LOGGER:-INFO,NullAppender} $HADOOP_SECONDARYNAMENODE_OPTS"

export HADOOP_NFS3_OPTS="$HADOOP_NFS3_OPTS"
export HADOOP_PORTMAP_OPTS="-Xmx512m $HADOOP_PORTMAP_OPTS"

# The following applies to multiple commands (fs, dfs, fsck, distcp etc)

export HADOOP_CLIENT_OPTS="-Xmx512m $HADOOP_CLIENT_OPTS"

# HADOOP_JAVA_PLATFORM_OPTS="-XX:-UsePerfData $HADOOP_JAVA_PLATFORM_OPTS"

# On secure datanodes, user to run the datanode as after dropping privileges.

# This**MUST**be uncommented to enable secure HDFS if using privileged ports

# to provide authentication of data transfer protocol.  This**MUST NOT**be

# defined if SASL is configured for authentication of data transfer protocol

# using non-privileged ports.

export HADOOP_SECURE_DN_USER=${HADOOP_SECURE_DN_USER}

# Where log files are stored.  $HADOOP_HOME/logs by default.

# export HADOOP_LOG_DIR=${HADOOP_LOG_DIR}/$USER

# Where log files are stored in the secure data environment.

export HADOOP_SECURE_DN_LOG_DIR=${HADOOP_LOG_DIR}/${HADOOP_HDFS_USER}

# HDFS Mover specific parameters

### 

# Specify the JVM options to be used when starting the HDFS Mover.

# These options will be appended to the options specified as HADOOP_OPTS

# and therefore may override any similar flags set in HADOOP_OPTS

# 

# export HADOOP_MOVER_OPTS=""

### 

# Advanced Users Only!

### 

# The directory where pid files are stored. /tmp by default.

# NOTE: this should be set to a directory that can only be written to by

# the user that will run the hadoop daemons.  Otherwise there is the

# potential for a symlink attack.

export HADOOP_PID_DIR=${HADOOP_PID_DIR}
export HADOOP_SECURE_DN_PID_DIR=${HADOOP_PID_DIR}

# A string representing this instance of hadoop. $USER by default.

export HADOOP_IDENT_STRING=$USER

.bashrc文件hadoop相关片段:


# -- HADOOP ENVIRONMENT VARIABLES START -- #

export JAVA_HOME=/usr/lib/jvm/java-8-oracle
export HADOOP_HOME=/usr/local/hadoop
export PATH=$PATH:$HADOOP_HOME/bin
export PATH=$PATH:$HADOOP_HOME/sbin
export HADOOP_MAPRED_HOME=$HADOOP_HOME
export HADOOP_COMMON_HOME=$HADOOP_HOME
export HADOOP_HDFS_HOME=$HADOOP_HOME
export YARN_HOME=$HADOOP_HOME
export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native
export HADOOP_OPTS="-Djava.library.path=$HADOOP_HOME/lib"

# -- HADOOP ENVIRONMENT VARIABLES END -- #

/usr/local/hadoop/etc/hadoop/core-site.xml文件:

<configuration>

<property>
  <name>hadoop.tmp.dir</name>
  <value>/usr/local/hadoop_tmp</value>
  <description>A base for other temporary directories.</description>
</property>

<property>
<name>fs.default.name</name>
<value>hdfs://localhost:9000</value>
</property>

</configuration>

/usr/local/hadoop/etc/hadoop/hdfs-site.xml文件:

<configuration>
<property>
      <name>dfs.replication</name>
      <value>1</value>
 </property>
 <property>
      <name>dfs.namenode.name.dir</name>
      <value>file:/usr/local/hadoop_tmp/hdfs/namenode</value>
 </property>
 <property>
      <name>dfs.datanode.data.dir</name>
      <value>file:/usr/local/hadoop_tmp/hdfs/datanode</value>
 </property>
</configuration>

/usr/local/hadoop/etc/hadoop/yarn-site.xml文件:

<configuration> 
<property>
      <name>yarn.nodemanager.aux-services</name>
      <value>mapreduce_shuffle</value>
</property>
<property>
      <name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
      <value>org.apache.hadoop.mapred.ShuffleHandler</value>
</property>
</configuration>

/usr/local/hadoop/etc/hadoop/mapred-site.xml文件:

<configuration>
<property>
      <name>mapreduce.framework.name</name>
      <value>yarn</value>
</property>
<configuration>

跑步 hduser@marta-komputer:/usr/local/hadoop$ bin/hdfs namenode -format 结果输出如下(我用 (...) ):

hduser@marta-komputer:/usr/local/hadoop$ bin/hdfs namenode -format
15/02/22 18:50:47 INFO namenode.NameNode: STARTUP_MSG: 
/************************************************************
STARTUP_MSG: Starting NameNode
STARTUP_MSG:   host = marta-komputer/127.0.1.1
STARTUP_MSG:   args = [-format]
STARTUP_MSG:   version = 2.6.0
STARTUP_MSG:   classpath = /usr/local/hadoop/etc/hadoop:/usr/local/hadoop/share/hadoop/common/lib/htrace-core-3.0.4.jar:/usr/local/hadoop/share/hadoop/common/lib/commons-cli (...)2.6.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-common-2.6.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-hs-2.6.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-app-2.6.0.jar:/usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-shuffle-2.6.0.jar:/usr/local/hadoop/contrib/capacity-scheduler/*.jar
STARTUP_MSG:   build = https://git-wip-us.apache.org/repos/asf/hadoop.git -r e3496499ecb8d220fba99dc5ed4c99c8f9e33bb1; compiled by 'jenkins' on 2014-11-13T21:10Z
STARTUP_MSG:   java = 1.8.0_31

************************************************************/

15/02/22 18:50:47 INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT]
15/02/22 18:50:47 INFO namenode.NameNode: createNameNode [-format]
15/02/22 18:50:47 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Formatting using clusterid: CID-0b65621a-eab3-47a4-bfd0-62b5596a940c
15/02/22 18:50:48 INFO namenode.FSNamesystem: No KeyProvider found.
15/02/22 18:50:48 INFO namenode.FSNamesystem: fsLock is fair:true
15/02/22 18:50:48 INFO blockmanagement.DatanodeManager: dfs.block.invalidate.limit=1000
15/02/22 18:50:48 INFO blockmanagement.DatanodeManager: dfs.namenode.datanode.registration.ip-hostname-check=true
15/02/22 18:50:48 INFO blockmanagement.BlockManager: dfs.namenode.startup.delay.block.deletion.sec is set to 000:00:00:00.000
15/02/22 18:50:48 INFO blockmanagement.BlockManager: The block deletion will start around 2015 Feb 22 18:50:48
15/02/22 18:50:48 INFO util.GSet: Computing capacity for map BlocksMap
15/02/22 18:50:48 INFO util.GSet: VM type       = 64-bit
15/02/22 18:50:48 INFO util.GSet: 2.0% max memory 889 MB = 17.8 MB
15/02/22 18:50:48 INFO util.GSet: capacity      = 2^21 = 2097152 entries
15/02/22 18:50:48 INFO blockmanagement.BlockManager: dfs.block.access.token.enable=false
15/02/22 18:50:48 INFO blockmanagement.BlockManager: defaultReplication         = 1
15/02/22 18:50:48 INFO blockmanagement.BlockManager: maxReplication             = 512
15/02/22 18:50:48 INFO blockmanagement.BlockManager: minReplication             = 1
15/02/22 18:50:48 INFO blockmanagement.BlockManager: maxReplicationStreams      = 2
15/02/22 18:50:48 INFO blockmanagement.BlockManager: shouldCheckForEnoughRacks  = false
15/02/22 18:50:48 INFO blockmanagement.BlockManager: replicationRecheckInterval = 3000
15/02/22 18:50:48 INFO blockmanagement.BlockManager: encryptDataTransfer        = false
15/02/22 18:50:48 INFO blockmanagement.BlockManager: maxNumBlocksToLog          = 1000
15/02/22 18:50:48 INFO namenode.FSNamesystem: fsOwner             = hduser (auth:SIMPLE)
15/02/22 18:50:48 INFO namenode.FSNamesystem: supergroup          = supergroup
15/02/22 18:50:48 INFO namenode.FSNamesystem: isPermissionEnabled = true
15/02/22 18:50:48 INFO namenode.FSNamesystem: HA Enabled: false
15/02/22 18:50:48 INFO namenode.FSNamesystem: Append Enabled: true
15/02/22 18:50:48 INFO util.GSet: Computing capacity for map INodeMap
15/02/22 18:50:48 INFO util.GSet: VM type       = 64-bit
15/02/22 18:50:48 INFO util.GSet: 1.0% max memory 889 MB = 8.9 MB
15/02/22 18:50:48 INFO util.GSet: capacity      = 2^20 = 1048576 entries
15/02/22 18:50:48 INFO namenode.NameNode: Caching file names occuring more than 10 times
15/02/22 18:50:48 INFO util.GSet: Computing capacity for map cachedBlocks
15/02/22 18:50:48 INFO util.GSet: VM type       = 64-bit
15/02/22 18:50:48 INFO util.GSet: 0.25% max memory 889 MB = 2.2 MB
15/02/22 18:50:48 INFO util.GSet: capacity      = 2^18 = 262144 entries
15/02/22 18:50:48 INFO namenode.FSNamesystem: dfs.namenode.safemode.threshold-pct = 0.9990000128746033
15/02/22 18:50:48 INFO namenode.FSNamesystem: dfs.namenode.safemode.min.datanodes = 0
15/02/22 18:50:48 INFO namenode.FSNamesystem: dfs.namenode.safemode.extension     = 30000
15/02/22 18:50:48 INFO namenode.FSNamesystem: Retry cache on namenode is enabled
15/02/22 18:50:48 INFO namenode.FSNamesystem: Retry cache will use 0.03 of total heap and retry cache entry expiry time is 600000 millis
15/02/22 18:50:48 INFO util.GSet: Computing capacity for map NameNodeRetryCache
15/02/22 18:50:48 INFO util.GSet: VM type       = 64-bit
15/02/22 18:50:48 INFO util.GSet: 0.029999999329447746% max memory 889 MB = 273.1 KB
15/02/22 18:50:48 INFO util.GSet: capacity      = 2^15 = 32768 entries
15/02/22 18:50:48 INFO namenode.NNConf: ACLs enabled? false
15/02/22 18:50:48 INFO namenode.NNConf: XAttrs enabled? true
15/02/22 18:50:48 INFO namenode.NNConf: Maximum size of an xattr: 16384
Re-format filesystem in Storage Directory /usr/local/hadoop_tmp/hdfs/namenode ? (Y or N) Y
15/02/22 18:50:50 INFO namenode.FSImage: Allocated new BlockPoolId: BP-948369552-127.0.1.1-1424627450316
15/02/22 18:50:50 INFO common.Storage: Storage directory /usr/local/hadoop_tmp/hdfs/namenode has been successfully formatted.
15/02/22 18:50:50 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0
15/02/22 18:50:50 INFO util.ExitUtil: Exiting with status 0
15/02/22 18:50:50 INFO namenode.NameNode: SHUTDOWN_MSG: 
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at marta-komputer/127.0.1.1

************************************************************/

启动 dfs 以及 yarn 结果如下:

hduser@marta-komputer:/usr/local/hadoop$ start-dfs.sh
15/02/22 18:53:05 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Starting namenodes on [localhost]
localhost: starting namenode, logging to /usr/local/hadoop/logs/hadoop-hduser-namenode-marta-komputer.out
localhost: starting datanode, logging to /usr/local/hadoop/logs/hadoop-hduser-datanode-marta-komputer.out
Starting secondary namenodes [0.0.0.0]
0.0.0.0: starting secondarynamenode, logging to /usr/local/hadoop/logs/hadoop-hduser-secondarynamenode-marta-komputer.out
15/02/22 18:53:20 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
hduser@marta-komputer:/usr/local/hadoop$ start-yarn.sh
starting yarn daemons
starting resourcemanager, logging to /usr/local/hadoop/logs/yarn-hduser-resourcemanager-marta-komputer.out
localhost: starting nodemanager, logging to /usr/local/hadoop/logs/yarn-hduser-nodemanager-marta-komputer.out

打电话 jps 之后不久:

hduser@marta-komputer:/usr/local/hadoop$ jps
11696 ResourceManager
11842 NodeManager
11171 NameNode
11523 SecondaryNameNode
12167 Jps

netstat输出:

hduser@marta-komputer:/usr/local/hadoop$ sudo netstat -lpten | grep java
tcp        0      0 0.0.0.0:8088            0.0.0.0:*               LISTEN      1001       690283      11696/java      
tcp        0      0 0.0.0.0:42745           0.0.0.0:*               LISTEN      1001       684574      11842/java      
tcp        0      0 0.0.0.0:13562           0.0.0.0:*               LISTEN      1001       680955      11842/java      
tcp        0      0 0.0.0.0:8030            0.0.0.0:*               LISTEN      1001       684531      11696/java      
tcp        0      0 0.0.0.0:8031            0.0.0.0:*               LISTEN      1001       684524      11696/java      
tcp        0      0 0.0.0.0:8032            0.0.0.0:*               LISTEN      1001       680879      11696/java      
tcp        0      0 0.0.0.0:8033            0.0.0.0:*               LISTEN      1001       687392      11696/java      
tcp        0      0 0.0.0.0:8040            0.0.0.0:*               LISTEN      1001       680951      11842/java      
tcp        0      0 127.0.0.1:9000          0.0.0.0:*               LISTEN      1001       687242      11171/java      
tcp        0      0 0.0.0.0:8042            0.0.0.0:*               LISTEN      1001       680956      11842/java      
tcp        0      0 0.0.0.0:50090           0.0.0.0:*               LISTEN      1001       690252      11523/java      
tcp        0      0 0.0.0.0:50070           0.0.0.0:*               LISTEN      1001       687239      11171/java

/etc/hosts文件:

127.0.0.1       localhost
127.0.1.1       marta-komputer

# The following lines are desirable for IPv6 capable hosts

::1     ip6-localhost ip6-loopback
fe00::0 ip6-localnet
ff00::0 ip6-mcastprefix
ff02::1 ip6-allnodes
ff02::2 ip6-allrouters

====================================================

更新1。
我更新了core-site.xml,现在:

<property>
<name>fs.default.name</name>
<value>hdfs://marta-komputer:9000</value>
</property>

但我一直收到错误-现在开始是:

15/03/01 00:59:34 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
java.net.ConnectException: Call From marta-komputer.home/192.168.1.8 to marta-komputer:9000 failed on connection exception:     java.net.ConnectException: Connection refused; For more details see:    http://wiki.apache.org/hadoop/ConnectionRefused

我也注意到 telnet localhost 9000 不工作:

hduser@marta-komputer:~$ telnet localhost 9000
Trying 127.0.0.1...
telnet: Unable to connect to remote host: Connection refused
qqrboqgw

qqrboqgw1#

在/etc/hosts中:
添加此行:
你的ip地址你的主机名
示例:192.168.1.8主机
在/etc/hosts中:
删除127.0.1.1中的行(这将导致环回)
在核心站点中,将localhost更改为ip或主机名
现在,重新启动集群。

a2mppw5e

a2mppw5e2#

对我来说,这些步骤奏效了 stop-all.sh hadoop namenode -format start-all.sh

iezvtpos

iezvtpos3#

以我的经验

15/02/22 18:23:04 WARN util.NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable

您可能有64位版本的操作系统和32位的hadoop安装。参考此

java.net.ConnectException: Call From marta-komputer/127.0.1.1 to
localhost:9000 failed on connection exception: java.net.ConnectException: 
connection refused; For more details see:   
http://wiki.apache.org/hadoop/ConnectionRefused

此问题与ssh公钥授权有关。请提供有关ssh设置的详细信息。
请参考此链接检查完整的步骤。
如果需要,也提供信息

cat $HOME/.ssh/authorized_keys

是否返回任何结果。

kognpnkq

kognpnkq4#

进入$spark_home/conf,然后打开spark-env.sh文件并添加:
spark\u master\u host=您的ip
Spark\u本地\u ip=127.0.0.1
最终:ctr+s

z9ju0rcb

z9ju0rcb5#

我在hortonworks也面临同样的问题
在我重新启动ambari代理和服务器时,问题已经解决。

systemctl stop ambari-agent
systemctl stop ambari-server

资料来源:整篇文章

systemctl start ambari-agent
systemctl start ambari-server
41zrol4v

41zrol4v6#

检查防火墙设置并设置

<property>
  <name>fs.default.name</name>
  <value>hdfs://MachineName:9000</value>
  </property>

将localhost替换为计算机名

gijlo24d

gijlo24d7#

对我来说,这是我不能集群我的Zookeeper。

hdfs haadmin -getServiceState 1
active

hdfs haadmin -getServiceState 2
active

我的hadoop hdfs zkfc-[hostname].log显示:
2017-04-14 11:46:55351 warn org.apache.hadoop.ha.healthmonitor:尝试在主机/192.168.1.55:9000上监视namenode的运行状况时发生传输级别异常:java.net.connectexception:从主机/192.168.1.55到的连接拒绝调用host:9000 failed on连接异常:java.net.connectexception:连接被拒绝;有关详细信息,请参阅:http://wiki.apache.org/hadoop/connectionrefused
解决方案:

hdfs-site.xml
  <property>
    <name>dfs.namenode.rpc-bind-host</name>
      <value>0.0.0.0</value>
  </property>

之前

netstat -plunt

tcp        0      0 192.168.1.55:9000        0.0.0.0:*               LISTEN      13133/java

nmap localhost -p 9000

Starting Nmap 6.40 ( http://nmap.org ) at 2017-04-14 12:15 EDT
Nmap scan report for localhost (127.0.0.1)
Host is up (0.000047s latency).
Other addresses for localhost (not scanned): 127.0.0.1
PORT     STATE  SERVICE
9000/tcp closed cslistener

之后

netstat -plunt
tcp        0      0 0.0.0.0:9000            0.0.0.0:*               LISTEN      14372/java

nmap localhost -p 9000

Starting Nmap 6.40 ( http://nmap.org ) at 2017-04-14 12:28 EDT
Nmap scan report for localhost (127.0.0.1)
Host is up (0.000039s latency).
Other addresses for localhost (not scanned): 127.0.0.1
PORT     STATE SERVICE
9000/tcp open  cslistener
v2g6jxz6

v2g6jxz68#

嗨,编辑conf/core-site.xml并将localhost更改为0.0.0.0。使用下面的conf。这应该管用。

<configuration>
  <property>
 <name>fs.default.name</name>
 <value>hdfs://0.0.0.0:9000</value>
</property>
2w2cym1i

2w2cym1i9#

我得到了同样的问题,发现openssh服务没有运行,这是导致问题。在启动ssh服务之后,它工作了。
要检查ssh服务是否正在运行,请执行以下操作:

ssh localhost

要启动服务,如果已安装openssh:

sudo /etc/init.d/ssh start
sbtkgmzw

sbtkgmzw10#

确保hdfs联机。开始吧 $HADOOP_HOME/sbin/start-dfs.sh 一旦你这么做了,你的测试 telnet localhost 9001 应该有用。

yi0zb3m4

yi0zb3m411#

停止-:stop-all.sh
格式化namenode-:hadoop namenode-format
再次开始-:start-all.sh

xiozqbni

xiozqbni12#

我与op有类似的prolem。正如终端输出建议的那样,我转到http://wiki.apache.org/hadoop/connectionrefused
我试图按照这里的建议更改我的/etc/hosts文件,即删除127.0.1.1,因为op建议它将创建另一个错误。
所以最后,我还是保持原样。以下是我的/etc/hosts

127.0.0.1       localhost.localdomain   localhost
127.0.1.1       linux

# The following lines are desirable for IPv6 capable hosts

::1     ip6-localhost ip6-loopback
fe00::0 ip6-localnet
ff00::0 ip6-mcastprefix
ff02::1 ip6-allnodes
ff02::2 ip6-allrouters

最后,我发现我的namenode没有正确启动,即当您键入 sudo netstat -lpten | grep java 在终端中,将不会有任何jvm进程在端口9000上运行(侦听)。
所以我分别为namenode和datanode创建了两个目录(如果您还没有这样做的话)。你不必把它放在我放的地方,请根据你的hadoop目录替换它。即

mkdir -p /home/hadoopuser/hadoop-2.6.2/hdfs/namenode
mkdir -p /home/hadoopuser/hadoop-2.6.2/hdfs/datanode

我重新配置了hdfs-site.xml。

<configuration>
    <property>
        <name>dfs.replication</name>
        <value>1</value>
    </property>
   <property>
        <name>dfs.namenode.name.dir</name>
        <value>file:/home/hadoopuser/hadoop-2.6.2/hdfs/namenode</value>
    </property>
    <property>
        <name>dfs.datanode.data.dir</name>
        <value>file:/home/hadoopuser/hadoop-2.6.2/hdfs/datanode</value>
    </property>
</configuration>

在终端中,停止hdfs并使用脚本进行渲染 stop-dfs.sh 以及 stop-yarn.sh . 它们位于hadoop目录/sbin中。在我的例子中,它是/home/hadoopuser/hadoop-2.6.2/sbin/。
然后开始你的hdfs和Yarn脚本 start-dfs.sh 以及 start-yarn.sh 启动后,键入 jps 查看jvm进程是否正常运行。它应该显示以下内容。

15678 NodeManager
14982 NameNode
15347 SecondaryNameNode
23814 Jps
15119 DataNode
15548 ResourceManager

然后再次尝试使用netstat查看namenode是否正在侦听端口9000

sudo netstat -lpten | grep java

如果您成功地设置了namenode,您应该在终端输出中看到以下内容。 tcp 0 0 127.0.0.1:9000 0.0.0.0:* LISTEN 1001 175157 14982/java 然后尝试键入命令 hdfs dfs -mkdir /user/hadoopuser 如果这个命令执行成功,现在您可以在hdfs用户目录中列出您的目录 hdfs dfs -ls /user

mdfafbf1

mdfafbf113#

你的问题很有趣。由于系统的复杂性和涉及的许多运动部件,hadoop的设置有时可能会令人沮丧。我认为你面临的问题肯定是防火墙问题。我的hadoop集群也有类似的设置。添加了防火墙规则的命令:

sudo iptables -A INPUT -p tcp --dport 9000 -j REJECT

我能看到确切的问题:

15/03/02 23:46:10 INFO client.RMProxy: Connecting to ResourceManager at  /0.0.0.0:8032
java.net.ConnectException: Call From mybox/127.0.1.1 to localhost:9000 failed on connection exception: java.net.ConnectException: Connection refused; For more details see:  http://wiki.apache.org/hadoop/ConnectionRefused
     at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)

您可以使用以下命令验证防火墙设置:

/usr/local/hadoop/etc$ sudo iptables -L
Chain INPUT (policy ACCEPT)
target     prot opt source               destination         
REJECT     tcp  --  anywhere             anywhere             tcp dpt:9000 reject-with icmp-port-unreachable

Chain FORWARD (policy ACCEPT)
target     prot opt source               destination         

Chain OUTPUT (policy ACCEPT)
target     prot opt source               destination

一旦发现可疑规则,可以使用如下命令将其删除:

sudo iptables -D INPUT -p tcp --dport 9000 -j REJECT

现在,连接应该通过了。

bxjv4tth

bxjv4tth14#

hduser@marta-komputer:/usr/local/hadoop$jps
11696资源经理
11842节点管理器
11171名称节点
11523次要名称节点
12167日元
你的数据节点在哪里? Connection refused 问题也可能是由于没有活动的 DataNode . 检查datanode日志中的问题。
更新时间:
对于此错误:
15/03/01 00:59:34 info client.rmproxy:连接到resourcemanager at/0.0.0:8032 java.net.connectexception:调用marta komputer.home/192.168.1.8到marta-komputer:9000 failed on连接异常:java.net.connectexception:连接被拒绝;有关详细信息,请参阅:http://wiki.apache.org/hadoop/connectionrefused
在yarn-site.xml中添加以下行:

<property>
<name>yarn.resourcemanager.address</name>
<value>192.168.1.8:8032</value>
</property>
<property>
<name>yarn.resourcemanager.scheduler.address</name>
<value>192.168.1.8:8030</value>
</property>
<property>
<name>yarn.resourcemanager.resource-tracker.address</name>
<value>192.168.1.8:8031</value>
</property>

重新启动hadoop进程。

lb3vh1jj

lb3vh1jj15#

netstat 输出你可以看到进程正在监听的地址 127.0.0.1 ```
tcp 0 0 127.0.0.1:9000 0.0.0.0:* ...

从异常消息中可以看到它试图连接到地址 `127.0.1.1` ```
java.net.ConnectException: Call From marta-komputer/127.0.1.1 to localhost:9000 failed ...

在例外的情况下,它的结束

For more details see:  http://wiki.apache.org/hadoop/ConnectionRefused

在这一页你可以找到
请检查/etc/hosts中是否没有Map到127.0.0.1或127.0.1.1的主机名条目(ubuntu为此而臭名昭著)
所以结论是在你的 /etc/hosts ```
127.0.1.1 marta-komputer

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