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Hadoop 集群設置 - java.net.ConnectException:連接被拒絕

[英]Hadoop cluster setup - java.net.ConnectException: Connection refused

我想在偽分布式模式下設置一個 hadoop-cluster。 我設法執行了所有設置步驟,包括在我的機器上啟動 Namenode、Datanode、Jobtracker 和 Tasktracker。

然后我嘗試運行一些示例程序並遇到java.net.ConnectException: Connection refused錯誤。 我退回到在獨立模式下運行一些操作的最初步驟,並遇到了同樣的問題。

我什對所有安裝步驟進行了三重檢查,但不知道如何修復它。 (我是 Hadoop 新手和 Ubuntu 初學者,因此如果提供任何指南或提示,我懇請您“考慮到它”)。

這是我不斷收到的錯誤輸出

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 相關片段:

# -- 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>

運行hduser@marta-komputer:/usr/local/hadoop$ bin/hdfs namenode -format產生如下輸出(我用(...)替換了它的一部分):

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

啟動dfsyarn產生以下輸出:

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

不久之后調用jps給出:

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

網絡統計輸出:

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 ,現在我有:

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

但我一直收到錯誤 - 現在開始:

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

我還注意到telnet localhost 9000不起作用:

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

對我來說,這些步驟有效

  1. stop-all.sh
  2. hadoop namenode -format
  3. start-all.sh

嗨,編輯您的 conf/core-site.xml 並將本地主機更改為 0.0.0.0。 使用下面的配置。 那應該工作。

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

netstat輸出中,您可以看到該進程正在偵聽地址127.0.0.1

tcp        0      0 127.0.0.1:9000          0.0.0.0:*  ...

從異常消息中您可以看到它嘗試連接到地址127.0.1.1

java.net.ConnectException: Call From marta-komputer/127.0.1.1 to localhost:9000 failed ...

進一步的例外是提到end

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

在這個頁面上你找到

檢查 /etc/hosts 中沒有映射到 127.0.0.1 或 127.0.1.1 的主機名條目(Ubuntu 因這個而臭名昭著)

所以結論是在你的/etc/hosts刪除這一行

127.0.1.1       marta-komputer

我和 OP 有類似的問題。 正如終端輸出所建議的那樣,我去了http://wiki.apache.org/hadoop/ConnectionRefused

我嘗試按照此處的建議更改我的 /etc/hosts 文件,即刪除 127.0.1.1,因為 OP 建議它將創建另一個錯誤。

所以最后,我保持原樣。 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

最后發現我的namenode沒有正確啟動,即當你輸入sudo netstat -lpten | grep java 終端中的sudo netstat -lpten | grep java ,不會有任何 JVM 進程在端口 9000 上運行(偵聽)。

所以我分別為 namenode 和 datanode 創建了兩個目錄(如果你還沒有這樣做)。 不用放在我放的地方,請根據你的hadoop目錄替換。 IE

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

我重新配置了我的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>

在終端中,使用腳本stop-dfs.shstop-yarn.sh停止你的 hdfs 和 yarn。 它們位於您的 hadoop 目錄/sbin 中。 就我而言,它是 /home/hadoopuser/hadoop-2.6.2/sbin/。

然后用腳本start-dfs.shstart-yarn.sh啟動你的 hdfs 和 yarn 啟動后,在你的終端中輸入jps以查看你的 JVM 進程是否正常運行。 它應該顯示以下內容。

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

然后再次嘗試使用netstat查看你的namenode是否監聽了9000端口

sudo netstat -lpten | grep java

如果您成功設置了 namenode,您應該會在終端輸出中看到以下內容。

tcp 0 0 127.0.0.1:9000 0.0.0.0:* LISTEN 1001 175157 14982/java

然后嘗試輸入命令hdfs dfs -mkdir /user/hadoopuser如果此命令執行成功,現在您可以通過hdfs dfs -ls /user在 HDFS 用戶目錄中列出您的目錄

對我來說,我無法集群我的動物園管理員。

hdfs haadmin -getServiceState 1
active

hdfs haadmin -getServiceState 2
active

我的 hadoop-hdfs-zkfc-[hostname].log 顯示:

2017-04-14 11:46:55,351 WARN org.apache.hadoop.ha.HealthMonitor:傳輸級異常試圖在 HOST/192.168.1.55:9000 監控 NameNode 的健康狀況:java.net.ConnectException:連接拒絕呼叫來自HOST/192.168.1.55 到 HOST:9000 連接異常失敗:java.net.ConnectException:連接被拒絕; 有關更多詳細信息,請參閱: http : //wiki.apache.org/hadoop/ConnectionRefused

解決方案:

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

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

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

在 /etc/hosts 中:

  1. 添加這一行:

你的 IP 地址 你的主機名

示例:192.168.1.8 主

在 /etc/hosts 中:

  1. 刪除帶有 127.0.1.1 的行(這會導致環回)

  2. 在您的核心站點中,將 localhost 更改為 your-ip 或 your-hostname

現在,重新啟動集群。

確保 HDFS 在線。 通過$HADOOP_HOME/sbin/start-dfs.sh啟動它 一旦你這樣做了,你的telnet localhost 9001測試應該可以工作了。

檢查您的防火牆設置並設置

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

將 localhost 替換為機器名稱

hduser@marta-komputer:/usr/local/hadoop$ jps

11696 資源管理器

11842 節點管理器

11171 名稱節點

11523 次要名稱節點

12167 日元

你的DataNode在哪里? Connection refused問題也可能是由於沒有活動的DataNode 檢查數據節點日志是否有問題。

更新:

對於這個錯誤:

15/03/01 00:59:34 INFO client.RMProxy:連接到 ResourceManager at /0.0.0.0:8032 java.net.ConnectException:從 marta-komputer.home/192.168.1.8 調用到 marta-komputer:9000 失敗連接異常:java.net.ConnectException:連接被拒絕; 有關更多詳細信息,請參閱: http : //wiki.apache.org/hadoop/ConnectionRefused

yarn-site.xml 中添加這些行:

<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>

重新啟動 hadoop 進程。

你的問題很有趣。 由於系統的復雜性和涉及的許多活動部件,Hadoop 設置可能會令人沮喪。 我認為您面臨的問題絕對是防火牆問題。 我的 hadoop 集群有類似的設置。 使用命令添加防火牆規則:

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

我能夠看到確切的問題:

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驗證防火牆設置:

/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   

一旦識別出可疑規則,就可以使用如下命令將其刪除:

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

現在,連接應該通過。

以我的經驗

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 位版本的操作系統,而 hadoop 安裝的是 32 位。 參考這個

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

此問題與您的 ssh 公鑰授權有關。 請提供有關您的 ssh 設置的詳細信息。

請參閱鏈接以檢查完整的步驟。

還提供信息,如果

cat $HOME/.ssh/authorized_keys

返回任何結果。

我通過將此屬性添加到hdfs-site.xml解決了同樣的問題

<property>
  <name>fs.default.name</name>
  <value>hdfs://localhost:9000</value>
  </property>
  • 停止它-:stop-all.sh

  • 格式化namenode-:hadoop namenode -format

  • 再次開始-:start-all.sh

我在 Hortonworks 中也面臨同樣的問題

當我重新啟動 Ambari 代理和服務器時,問題已解決。

systemctl stop ambari-agent

systemctl stop ambari-server

來源: 全文解析

systemctl start ambari-agent

systemctl start ambari-server

我遇到了同樣的問題,發現 OpenSSH 服務沒有運行,它導致了問題。 啟動 SSH 服務后,它工作了。

要檢查 SSH 服務是否正在運行:

ssh localhost

要啟動服務,如果已經安裝了 OpenSSH:

sudo /etc/init.d/ssh start

進入$SPARK_HOME/conf ,然后打開文件spark-env.sh並添加:

SPARK_MASTER_HOST= your-IP

SPARK_LOCAL_IP=127.0.0.1

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