遇到的问题
[hadoop@hadoop01 input]$ hadoop dfs -put ./in
DEPRECATED: Use of this script to executehdfs command is deprecated.
Instead use the hdfs command for it.
Java HotSpot(TM) 64-BitServer VM warning: You have loaded library/app/hadoop/hadoop-2.2.0/lib/native/libhadoop.so.1.0.0 which might havedisabled stack guard. The VM will try to fix the stack guard now.
It's highly recommendedthat you fix the library with 'execstack -c <libfile>', or link it with'-z noexecstack'.
13/10/24 04:08:55 WARNutil.NativeCodeLoader: Unable to load native-hadoop library for yourplatform... using builtin-java classes where applicable
put: `in': No such file or directory
查看本地文件
[hadoop@hadoop01 input]$ file /app/hadoop/hadoop-2.2.0/lib/native/libhadoop.so.1.0.0
/app/hadoop/hadoop-2.2.0/lib/native/libhadoop.so.1.0.0:ELF 32-bit LSB shared object, Intel 80386,version 1 (SYSV), dynamically linked, not stripped
貌似是32位和64位的原因
http://mail-archives.apache.org/mod_mbox/hadoop-user/201208.mbox/%3C19AD42E3F64F0F468A305399D0DF39D92EA4521578@winops07.win.compete.com%3E
http://www.mail-archive.com/common-issues@hadoop.apache.org/msg52576.html
操作系统64位，软件是32位。悲剧了。。。装好的集群没法用。
解决方法：重新编译hadoop
解决方法，就是重新编译hadoop软件：
载程序代码
机器得连网，如果没联网找可以联网的机器下载，但是编译时还是要下载一些东西，所以，实在不行。最好找相同平台（可以是虚拟机）能上网的机器做下面工作，弄好了再拷回来。
# svn checkout'http://svn.apache.org/repos/asf/hadoop/common/tags/release-2.2.0'
都下载到这了：
[hadoop@hadoop01 hadoop]$ ls
BUILDING.txt hadoop-common-project hadoop-maven-plugins hadoop-tools
dev-support hadoop-dist hadoop-minicluster hadoop-yarn-project
hadoop-assemblies hadoop-hdfs-project hadoop-project pom.xml
hadoop-client hadoop-mapreduce-project hadoop-project-dist
安装开发环境
1.必要的包
[root@hadoop01 /]# yum install svn
[root@hadoop01 ~]# yum install autoconfautomake libtool cmake
root@hadoop01 ~]# yum install ncurses-devel
root@hadoop01 ~]# yum install openssl-devel
root@hadoop01 ~]# yum install gcc*
2.安装maven
下载，并解压
http://maven.apache.org/download.cgi
[root@hadoop01 stable]# mvapache-maven-3.1.1 /usr/local/
将/usr/local/apache-maven-3.1.1/bin加到环境变量中
3.安装protobuf
没装 protobuf,后面编译做不完，结果如下：
[INFO] ---hadoop-maven-plugins:2.2.0:protoc (compile-protoc) @ hadoop-common ---
[WARNING] [protoc, --version] failed:java.io.IOException: Cannot run program "protoc": error=2, No suchfile or directory
[ERROR] stdout: []
……………………
[INFO] Apache Hadoop Main................................ SUCCESS [5.672s]
[INFO] Apache Hadoop Project POM......................... SUCCESS [3.682s]
[INFO] Apache Hadoop Annotations......................... SUCCESS [8.921s]
[INFO] Apache Hadoop Assemblies.......................... SUCCESS [0.676s]
[INFO] Apache Hadoop Project Dist POM.................... SUCCESS [4.590s]
[INFO] Apache Hadoop Maven Plugins....................... SUCCESS [9.172s]
[INFO] Apache Hadoop Auth................................ SUCCESS [10.123s]
[INFO] Apache Hadoop Auth Examples....................... SUCCESS [5.170s]
[INFO] Apache HadoopCommon .............................. FAILURE [1.224s]
[INFO] Apache Hadoop NFS................................. SKIPPED
[INFO] Apache Hadoop Common Project...................... SKIPPED
[INFO] Apache Hadoop HDFS................................ SKIPPED
[INFO] Apache Hadoop HttpFS.............................. SKIPPED
[INFO] Apache Hadoop HDFS BookKeeperJournal ............. SKIPPED
[INFO] Apache Hadoop HDFS-NFS............................ SKIPPED
[INFO] Apache Hadoop HDFS Project........................ SKIPPED
安装protobuf过程
下载：https://protobuf.googlecode.com/files/protobuf-2.5.0.tar.gz
https://code.google.com/p/protobuf/downloads/list
[root@hadoop01 protobuf-2.5.0]# pwd
/soft/protobuf-2.5.0
依次执行下面的命令即可
./configure
make
make check
make install
[root@hadoop01 protobuf-2.5.0]# protoc--version
libprotoc 2.5.0
4.cmake安装
CMAKE报错：
main:
[mkdir] Created dir:/soft/hadoop/hadoop-tools/hadoop-pipes/target/native
[exec] -- The C compiler identification is GNU
[exec] -- The CXX compiler identification is GNU
[exec] -- Check for working C compiler: /usr/bin/gcc
[exec] -- Check for working C compiler: /usr/bin/gcc -- works
[exec] -- Detecting C compiler ABI info
[exec] -- Detecting C compiler ABI info - done
[exec] -- Check for working CXX compiler: /usr/bin/c++
[exec] -- Check for working CXX compiler: /usr/bin/c++ -- works
[exec] -- Detecting CXX compiler ABI info
[exec] -- Detecting CXX compiler ABI info - done
[exec] CMake Error at /usr/share/cmake/Modules/FindOpenSSL.cmake:66(MESSAGE):
[exec] Could NOT find OpenSSL
[exec] Call Stack (most recent call first):
[exec] CMakeLists.txt:20(find_package)
[exec]
[exec]
[exec] -- Configuring incomplete, errors occurred!
[INFO] Apache Hadoop Gridmix............................. SUCCESS [12.062s]
[INFO] Apache Hadoop Data Join........................... SUCCESS [8.694s]
[INFO] Apache Hadoop Extras.............................. SUCCESS [6.877s]
[INFO] Apache Hadoop Pipes ...............................FAILURE [5.295s]
[INFO] Apache Hadoop Tools Dist.......................... SKIPPED
[INFO] Apache Hadoop Tools............................... SKIPPED
[INFO] Apache Hadoop Distribution........................ SKIPPED
[INFO] Apache Hadoop Client.............................. SKIPPED
[INFO] Apache Hadoop Mini-Cluster........................ SKIPPED
需要安装
root@hadoop01 ~]# yum install ncurses-devel
root@hadoop01 ~]# yum install openssl-devel
编译hadoop
[hadoop@hadoop01 hadoop]$ pwd
/soft/hadoop
[hadoop@hadoop01 hadoop]$ ls
BUILDING.txt hadoop-client hadoop-hdfs-project hadoop-minicluster hadoop-tools
dev-support hadoop-common-project hadoop-mapreduce-project hadoop-project hadoop-yarn-project
hadoop-assemblies hadoop-dist hadoop-maven-plugins hadoop-project-dist pom.xml
[hadoop@hadoop01 hadoop]$ mvn package -Pdist,native -DskipTests -Dtar
目前的2.2.0 的Source Code 压缩包解压出来的code有个bug 需要patch后才能编译。否则编译hadoop-auth 会提示上面错误。
解决办法如下：
修改下面的pom文件。该文件在hadoop源码包下寻找：
hadoop-common-project/hadoop-auth/pom.xml
打开上面的的pom文件，在54行加入如下的依赖：（如果没有的话）
<dependency>
<groupId>org.mortbay.jetty</groupId>
<artifactId>jetty-util</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.mortbay.jetty</groupId>
<artifactId>jetty</artifactId>
<scope>test</scope>
</dependency>
编译是个很耗时的工作呀。。。。
下面是做完成功的结果
[INFO] Reactor Summary:
[INFO]
[INFO] Apache Hadoop Main................................ SUCCESS [6.600s]
[INFO] Apache Hadoop Project POM......................... SUCCESS [3.974s]
[INFO] Apache Hadoop Annotations......................... SUCCESS [9.878s]
[INFO] Apache Hadoop Assemblies.......................... SUCCESS [0.856s]
[INFO] Apache Hadoop Project Dist POM.................... SUCCESS [4.750s]
[INFO] Apache Hadoop Maven Plugins....................... SUCCESS [8.720s]
[INFO] Apache Hadoop Auth................................ SUCCESS [10.107s]
[INFO] Apache Hadoop Auth Examples....................... SUCCESS [5.734s]
[INFO] Apache Hadoop Common.............................. SUCCESS [4:32.636s]
[INFO] Apache Hadoop NFS................................. SUCCESS [29.700s]
[INFO] Apache Hadoop Common Project...................... SUCCESS [0.090s]
[INFO] Apache Hadoop HDFS................................ SUCCESS [6:15.394s]
[INFO] Apache Hadoop HttpFS.............................. SUCCESS [1:09.238s]
[INFO] Apache Hadoop HDFS BookKeeperJournal ............. SUCCESS [27.676s]
[INFO] Apache Hadoop HDFS-NFS............................ SUCCESS [13.954s]
[INFO] Apache Hadoop HDFS Project........................ SUCCESS [0.212s]
[INFO] hadoop-yarn....................................... SUCCESS [0.962s]
[INFO] hadoop-yarn-api................................... SUCCESS [1:48.066s]
[INFO] hadoop-yarn-common................................ SUCCESS [1:37.543s]
[INFO] hadoop-yarn-server................................ SUCCESS [4.301s]
[INFO] hadoop-yarn-server-common......................... SUCCESS [29.502s]
[INFO] hadoop-yarn-server-nodemanager.................... SUCCESS [36.593s]
[INFO] hadoop-yarn-server-web-proxy...................... SUCCESS [13.273s]
[INFO] hadoop-yarn-server-resourcemanager................ SUCCESS [30.612s]
[INFO] hadoop-yarn-server-tests.......................... SUCCESS [4.374s]
[INFO] hadoop-yarn-client................................ SUCCESS [14.115s]
[INFO] hadoop-yarn-applications.......................... SUCCESS [0.218s]
[INFO]hadoop-yarn-applications-distributedshell ......... SUCCESS [9.871s]
[INFO] hadoop-mapreduce-client........................... SUCCESS [1.095s]
[INFO] hadoop-mapreduce-client-core...................... SUCCESS [1:30.650s]
[INFO]hadoop-yarn-applications-unmanaged-am-launcher .... SUCCESS [15.089s]
[INFO] hadoop-yarn-site.................................. SUCCESS [0.637s]
[INFO] hadoop-yarn-project............................... SUCCESS [25.809s]
[INFO] hadoop-mapreduce-client-common.................... SUCCESS [45.919s]
[INFO] hadoop-mapreduce-client-shuffle................... SUCCESS [14.693s]
[INFO] hadoop-mapreduce-client-app....................... SUCCESS [39.562s]
[INFO] hadoop-mapreduce-client-hs........................ SUCCESS [19.299s]
[INFO] hadoop-mapreduce-client-jobclient................. SUCCESS [18.549s]
[INFO] hadoop-mapreduce-client-hs-plugins................ SUCCESS [5.134s]
[INFO] Apache Hadoop MapReduce Examples.................. SUCCESS [17.823s]
[INFO] hadoop-mapreduce.................................. SUCCESS [12.726s]
[INFO] Apache Hadoop MapReduce Streaming................. SUCCESS [19.760s]
[INFO] Apache Hadoop Distributed Copy.................... SUCCESS [33.332s]
[INFO] Apache Hadoop Archives............................ SUCCESS [9.522s]
[INFO] Apache Hadoop Rumen............................... SUCCESS [15.141s]
[INFO] Apache Hadoop Gridmix............................. SUCCESS [15.052s]
[INFO] Apache Hadoop Data Join........................... SUCCESS [8.621s]
[INFO] Apache Hadoop Extras.............................. SUCCESS [8.744s]
[INFO] Apache Hadoop Pipes............................... SUCCESS [28.645s]
[INFO] Apache Hadoop Tools Dist.......................... SUCCESS [6.238s]
[INFO] Apache Hadoop Tools............................... SUCCESS [0.126s]
[INFO] Apache Hadoop Distribution........................ SUCCESS [1:20.132s]
[INFO] Apache Hadoop Client.............................. SUCCESS [18.820s]
[INFO] Apache Hadoop Mini-Cluster........................ SUCCESS [2.151s]
[INFO]------------------------------------------------------------------------
[INFO] BUILD SUCCESS
[INFO]------------------------------------------------------------------------
[INFO] Total time: 29:07.811s
[INFO] Finished at: Thu Oct 24 09:43:18 CST2013
[INFO] Final Memory: 78M/239M
[INFO]------------------------------------------------------------------------
使用用编译好的软件再执行一次
[hadoop@hadoop01 input]$ hadoop dfs -put ./in
DEPRECATED: Use of this script to executehdfs command is deprecated.
Instead use the hdfs command for it.
13/10/24 15:12:53 WARNutil.NativeCodeLoader: Unable to load native-hadoop library for yourplatform... using builtin-java classes where applicable
put: `in': No such file or directory
加入环境变量
export HADOOP_HOME=/usr/hadoop/hadoop-2.2.0
export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
export JAVA_LIBRARY_PATH=$HADOOP_HOME/lib/native
hadoop为2.2.0，操作系统为oracle linux 6.3 64位。
[hadoop@hadoop01 input]$ hadoop dfs -put ./in
DEPRECATED: Use of this script to executehdfs command is deprecated.
Instead use the hdfs command for it.
13/10/24 15:12:53 WARNutil.NativeCodeLoader: Unable to load native-hadoop library for yourplatform... using builtin-java classes where applicable
put: `in': No such file or directory
最后一行“put:`in': No such file or directory”先不管，肯定是语法命令有问题。
先解决“WARN util.NativeCodeLoader: Unable to loadnative-hadoop library for your platform... using builtin-java classes whereapplicable”
备注：我的hadoop环境是自己编译的，因为64位操作系统，hadoop2.2.0貌似只有32位的软件。
解决过程
1.开启debug
[hadoop@hadoop01 input]$ export HADOOP_ROOT_LOGGER=DEBUG,console
[hadoop@hadoop01 input]$ hadoop dfs -put./in
DEPRECATED: Use of this script to executehdfs command is deprecated.
Instead use the hdfs command for it.
13/10/24 16:11:31 DEBUG util.Shell: setsidexited with exit code 0
13/10/24 16:11:31 DEBUGlib.MutableMetricsFactory: field org.apache.hadoop.metrics2.lib.MutableRateorg.apache.hadoop.security.UserGroupInformation$UgiMetrics.loginSuccess withannotation @org.apache.hadoop.metrics2.annotation.Metric(valueName=Time,value=[Rate of successful kerberos logins and latency (milliseconds)], about=,type=DEFAULT, always=false, sampleName=Ops)
13/10/24 16:11:31 DEBUGlib.MutableMetricsFactory: field org.apache.hadoop.metrics2.lib.MutableRateorg.apache.hadoop.security.UserGroupInformation$UgiMetrics.loginFailure withannotation @org.apache.hadoop.metrics2.annotation.Metric(valueName=Time,value=[Rate of failed kerberos logins and latency (milliseconds)], about=,type=DEFAULT, always=false, sampleName=Ops)
13/10/24 16:11:31 DEBUGimpl.MetricsSystemImpl: UgiMetrics, User and group related metrics
13/10/24 16:11:32 DEBUGsecurity.Groups: Creating new Groupsobject
13/10/24 16:11:32 DEBUGutil.NativeCodeLoader: Trying to load the custom-built native-hadoop library...
13/10/24 16:11:32 DEBUGutil.NativeCodeLoader: Failed to load native-hadoopwith error: java.lang.UnsatisfiedLinkError: no hadoop in java.library.path
13/10/24 16:11:32 DEBUGutil.NativeCodeLoader: java.library.path=/usr/java/jdk1.7.0_45/lib:/app/hadoop/hadoop-2.2.0/lib/native:/app/hadoop/hadoop-2.2.0/lib/native
13/10/24 16:11:32 WARNutil.NativeCodeLoader: Unable to load native-hadoop library for yourplatform... using builtin-java classes where applicable
13/10/24 16:11:32 DEBUG security.JniBasedUnixGroupsMappingWithFallback:Falling back to shell based
13/10/24 16:11:32 DEBUGsecurity.JniBasedUnixGroupsMappingWithFallback: Group mappingimpl=org.apache.hadoop.security.ShellBasedUnixGroupsMapping
13/10/24 16:11:32 DEBUG security.Groups:Group mappingimpl=org.apache.hadoop.security.JniBasedUnixGroupsMappingWithFallback;cacheTimeout=300000
13/10/24 16:11:32 DEBUGsecurity.UserGroupInformation: hadoop login
13/10/24 16:11:32 DEBUGsecurity.UserGroupInformation: hadoop login commit
13/10/24 16:11:32 DEBUGsecurity.UserGroupInformation: using local user:UnixPrincipal: hadoop
13/10/24 16:11:32 DEBUGsecurity.UserGroupInformation: UGI loginUser:hadoop (auth:SIMPLE)
13/10/24 16:11:33 DEBUGhdfs.BlockReaderLocal: dfs.client.use.legacy.blockreader.local = false
13/10/24 16:11:33 DEBUGhdfs.BlockReaderLocal: dfs.client.read.shortcircuit = false
13/10/24 16:11:33 DEBUGhdfs.BlockReaderLocal: dfs.client.domain.socket.data.traffic = false
13/10/24 16:11:33 DEBUGhdfs.BlockReaderLocal: dfs.domain.socket.path =
13/10/24 16:11:33 DEBUGimpl.MetricsSystemImpl: StartupProgress, NameNode startup progress
13/10/24 16:11:33 DEBUG retry.RetryUtils:multipleLinearRandomRetry = null
13/10/24 16:11:33 DEBUG ipc.Server:rpcKind=RPC_PROTOCOL_BUFFER, rpcRequestWrapperClass=classorg.apache.hadoop.ipc.ProtobufRpcEngine$RpcRequestWrapper,rpcInvoker=org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker@2e41d9a2
13/10/24 16:11:34 DEBUGhdfs.BlockReaderLocal: Both short-circuit local reads and UNIX domain socketare disabled.
13/10/24 16:11:34 DEBUG ipc.Client: Theping interval is 60000 ms.
13/10/24 16:11:34 DEBUG ipc.Client:Connecting to localhost/127.0.0.1:8020
13/10/24 16:11:34 DEBUG ipc.Client: IPCClient (2141757401) connection to localhost/127.0.0.1:8020 from hadoop:starting, having connections 1
13/10/24 16:11:34 DEBUG ipc.Client: IPCClient (2141757401) connection to localhost/127.0.0.1:8020 from hadoop sending#0
13/10/24 16:11:34 DEBUG ipc.Client: IPCClient (2141757401) connection to localhost/127.0.0.1:8020 from hadoop gotvalue #0
13/10/24 16:11:34 DEBUGipc.ProtobufRpcEngine: Call: getFileInfo took 82ms
13/10/24 16:11:34 DEBUG ipc.Client: IPCClient (2141757401) connection to localhost/127.0.0.1:8020 from hadoop sending#1
13/10/24 16:11:34 DEBUG ipc.Client: IPCClient (2141757401) connection to localhost/127.0.0.1:8020 from hadoop gotvalue #1
13/10/24 16:11:34 DEBUGipc.ProtobufRpcEngine: Call: getFileInfo took 4ms
put: `.': No such file or directory
13/10/24 16:11:34 DEBUG ipc.Client:Stopping client
13/10/24 16:11:34 DEBUG ipc.Client: IPCClient (2141757401) connection to localhost/127.0.0.1:8020 from hadoop: closed
13/10/24 16:11:34 DEBUG ipc.Client: IPCClient (2141757401) connection to localhost/127.0.0.1:8020 from hadoop:stopped, remaining connections 0
上述debug中的错误 :
Failed to load native-hadoop with error:java.lang.UnsatisfiedLinkError: no hadoop in java.library.path
为了解决这个错误，尝试过很多种办法，很多都是对环境变量的修改。都是一筹莫展。。
加入环境变量
export HADOOP_HOME=/usr/hadoop/hadoop-2.2.0
export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
export JAVA_LIBRARY_PATH=$HADOOP_HOME/lib/native
2.解决方法
最后详细读了官方的NativeLibraries文档。
http://hadoop.apache.org/docs/r2.2.0/hadoop-project-dist/hadoop-common/NativeLibraries.html
Either download a hadoop release, whichwill include a pre-built version of the native hadoop library, or build yourown version of the native hadoop library. Whether you download or build, thename for the library is the same: libhadoop.so
发现人家要的名字是这个libhadoop.so，检查我的目录，有libhadoop.so.1.0.0这个。看了官方编译的软件，确实有那个libhadoop.so文件，但只是个link，所以照做
[hadoop@hadoop01 native]$ ln -slibhadoop.so.1.0.0 libhadoop.so
[hadoop@hadoop01 native]$ ln -s libhdfs.so.0.0.0libhdfs.so
问题解决了。
[hadoop@hadoop01 hadoop]$ hadoop dfs -put./in
DEPRECATED: Use of this script to executehdfs command is deprecated.
Instead use the hdfs command for it.
put: `.': No such file or directory
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