标签：hadoop   hbase   hive   sqoop   zookeeper   

Hadoop2.3.0+Hbase0.96.1.1+Hive0.14.0+Zookeeper3.4.6+Sqoop1.99.3安装配置流程

一、           配置Hadoop

源码包：hadoop-2.3.0-src.tar.gz

1.     安装以下软件：

yum -y install  lzo-devel  zlib-devel gcc autoconf automake libtool cmake openssl-devel

2.     安装Maven

tar zxvfapache-maven-3.1.1-bin.tar.gz
vi/etc/profile

增加两行：

export MAVEN_HOME=[maven home path]
export PATH=${MAVEN_HOME}/bin:$PATH

3.     安装ProtocolBuffer

tar -zxvf protobuf-2.5.0.tar.gz
cd protobuf-2.5.0
sudo ./configure

如果出现g+: command notfound错误，是由于gcc-c没有安装，使用yum install gcc-c++更新编译器重新编译即可解决问题。

sudo make
sudo makecheck
sudo makeinstall
protoc --version

4.     编译hadoop2.3.0

mvn cleanpackage -Pdist,native -DskipTests -Dtar

编译成功后，./hadoop-dist/target/hadoop-2.3.0.tar.gz就是我们需要的文件了

5.     设置ssh无需密码连接

 在master机器上运行ssh-keygen-t rsa命令，一路按回车结束后，会在~/.ssh下生成id_rsa.pub的文件

ssh-copy-id -i ~/.ssh/authorized_keys  grid@qzj04
ssh-copy-id -i ~/.ssh/authorized_keys  grid@qzj02
cp id_rsa.pub authorized_keys

将authorized_keys文件拷贝到qzj02,qzj04机器的~/.ssh目录下

scp zuthorized_keys qzj02:/home/grid/.ssh
scp zuthorized_keys qzj04:/home/grid/.ssh

测试是否能无密码连接

ssh qzj02
exit

6.     修改hadoop配置文件

vi etc/hadoop/hadoop-env.sh
export JAVA_HOME=/u02/hadoop/jdk1.7.0_15

vi core-site.xml
 <configuration>
 <property>
   <name>hadoop.tmp.dir</name>
   <value>/u02/hadoop/var</value>
 </property>
 <property>
   <name>fs.default.name</name>
   <value>hdfs://qzj05:8020</value>
 </property>
  <property>
   <name>hadoop.proxyuser.mlx.hosts</name>
   <value>*</value>
 </property>
 <property>
   <name>hadoop.proxyuser.mlx.groups</name>
   <value>*</value>
 </property>
 </configuration>

vi hdfs-site.xml  由于端口被占用，故这里端口值设为默认值+1

<configuration>
  <property>
    <name>dfs.namenode.name.dir</name>
    <value>file:/u02/hadoop/var/dfs/name</value>
  </property>
  <property>
    <name>dfs.namenode.data.dir</name>
    <value>file:/u02/hadoop/var/dfs/data</value>
  </property>
  <property>
    <name>dfs.replication</name>
    <value>3</value>
  </property>
  <property>
    <name>dfs.namenode.secondary.http-address</name>
    <value>qzj05:9001</value>
  </property>
  <property>
    <name>dfs.datanode.address</name>
    <value>0.0.0.0:50011</value>
    <description>
     default 50011
    </description>
  </property>
   <property>
     <name>dfs.datanode.ipc.address</name>
     <value>0.0.0.0:50021</value>
     <description>
        default 50020
     </description>
   <property>
     <name>dfs.datanode.http.address</name>
     <value>0.0.0.0:50076</value>
      <description>
        default 50075
     </description>
    </property>
   </property>
   <property>
     <name>dfs.support.append</name>
      <value>true</value>
    </property>
  </configuration>

vi mapred-site.xml

<configuration>
   <property>
     <name>mapreduce.framework.name</name>
     <value>yarn</value>
   </property>
   <property>
     <name>mapreduce.jobhistory.address</name>
     <value>qzj05:10020</value>
   </property>
   <property>
   <name>mapreduce.jobhistory.webapp.address</name>
   <value>qzj05:19888</value>
   </property>
</configuration>

vi slaves

  1 qzj05
  2 qzj02
  3 qzj04

vi yarn-site.xml

<configuration>
 <!-- Site specific YARN configurationproperties -->
 <property>
   <name>yarn.resourcemanager.address</name>
   <value>qzj05:8032</value>
 </property>
 <property>
   <name>yarn.resourcemanager.scheduler.address</name>
   <value>qzj05:8030</value>
 </property>
 <property>
   <name>yarn.resourcemanager.resource-tracker.address</name>
   <value>qzj05:8031</value>
 </property>
 <property>
   <name>yarn.resourcemanager.admin.address</name>
   <value>qzj05:8033</value>
 </property>
 <property>
   <name>yarn.resourcemanager.webapp.address</name>
   <value>qzj05:8088</value>
 </property>
 <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>

7.     创建目录

mkdir -p /u02/hadoop/var/dfs/name
mkdir -p /u02/hadoop/var/dfs/data
mkdir -p /u02/hadoop/var/dfs/namesecondary
mkdir -p /u02/hadoop/var/mapred

8.     将配置同步到子节点

rsync -avz /u02/hadoop/hadoop-2.3.0qzj02:/u02/hadoop
rsync -avz /u02/hadoop/hadoop-2.3.0qzj04:/u02/hadoop
rsync -avz /u02/hadoop/varqzj02:/u02/hadoop/var
rsync -avz /u02/hadoop/varqzj04:/u02/hadoop/var

9.     配置环境变量(包括主节点和子节点)

vi ~/.bash_profile
 export HADOOP_HOME=/u02/hadoop/hadoop-2.3.0
 export PATH=$PATH:$HADOOP_HOME/bin
 export PATH=$PATH:$HADOOP_HOME/sbin
source ~/.bash_profile

10.             启动hadoop

bin目录下执行格式化namenode，命令：hdfsnamenode -format

sbin目录下执行启动hdfs,yarn

start-dfs.sh
start-yarn.sh

检查是否启动：JPS

主节点应有：NodeManager, DataNode, SecondaryNameNode, ResourceManager, NameNode这几个进程

子节点应有：DataNode, NodeManager这个两个进程

如未启动起来，检查logs，注意端口是否被占用

停止服务:sbin/stop-all.sh

11.             报错及解决方法

                        i.             若编译中出现网络问题（比如被公司墙了什么的 = =），备份setting.xml，修改maven的镜像站

setting.xml中配置方式:

<mirrors>
<mirror>
<id>nexus-kaifazhe.me</id>
<mirrorOf>*</mirrorOf>
<name>Nexuskaifazhe.me</name>
<url>http://maven.kaifazhe.me/content/groups/public/</url>
</mirror>
</mirrors>

pom.xml配置方式:

<repositories>
<repository>
<id>nexus</id>
<name>kaifazhe.me’snexus</name>
<url>http://maven.kaifazhe.me/content/groups/public/</url>
</repository>
</repositories>
<pluginRepositories>
<pluginRepository>
<id>nexus</id>
<name>kaifazhe.me’snexus</name>
<url>http://maven.kaifazhe.me/content/groups/public/</url>
</pluginRepository>
</pluginRepositories>

                      ii.             报错：

[ERROR]Failed to execute goal org.apache.maven.plugins:maven-antrun-plugin:1.7:run(make) on project hadoop-pipes: An Ant BuildException has occured: execreturned: 1

[ERROR]around Ant part ...<execdir="/home/grid/release-2.3.0/hadoop-tools/hadoop-pipes/target/native"executable="cmake" failonerror="true">... @ 5:118 in/home/grid/release-2.3.0/hadoop-tools/hadoop-pipes/target/antrun/build-main.xml

解决方法：openssl-devel没装上，重装下openssl-devel就好了

yum install openssl-devel

二、           配置Zookeeper

安装包：zookeeper-3.4.6.tar.gz

1.     修改环境变量

vi ~/.bash_profile
export ZK_HOME=/u02/hadoop/zookeeper-3.4.6

source ~/.bash_profile

2.     创建目录

mkdir -p $ZK_HOME/var/data
mkdir -p $ZK_HOME/var/datalog

3.     修改配置文件

cp $ZK_HOME/conf/zoo_sample.cfg $ZK_HOME/conf/zoo.cfg
vi $ZK_HOME/conf/zoo.cfg
dataDir=/usr/u02/hadoop/zookeeper-3.4.6/var/data
dataLogDir=/u02/hadoop/zookeeper-3.4.6/var/datalog
 
server.1=qzj05:2888:3888
server.2=qzj02:2888:3888
server.3=qzj04:2888:3888

4.     同步至子节点

rsync -avz /u02/hadoop/zookeeper-3.4.6qzj02:/u02/hadoop
rsync -avz /u02/hadoop/zookeeper-3.4.6qzj04:/u02/hadoop

5.     修改myid

vi /u02/hadoop/zookeeper-3.4.6/var/data/myid

主节点输入1

其他两个子节点依次设为2和3

6.     启动zookeeper

$ZK_HOME/bin/zkServer.sh start(在三个节点分别执行此命令)

测试是否连通

$ZK_HOME/bin/zkCli.sh -serverqzj05,qzj02,qzj04

停止

$ZK_HOME/bin/zkServer.sh stop

三、           配置Hbase

安装包：hbase-0.96.1.1-hadoop2-bin.tar.gz

1.     在各节点上分别修改内核设置(root用户)

root# vi /etc/security/limits.conf
grid soft nofile 65535
grid hard nofile 65535
grid soft nproc 32000
grid hard nproc 32000

root# echo "session requiredpam_limits.so" >> /etc/pam.d/common-session

2.     修改环境变量

vi ~/.bash_profile
export HBASE_HOME=/u02/hadoop/hbase-0.96.1.1

source ~/.bash_profile

3.     创建目录

mkdir -p /u02/hadoop/hbase-0.96.1.1/var

4.     修改配置文件

vi $HBASE_HOME/conf/hbase-env.sh
export JAVA_HOME=/u02/hadoop/jdk1.7.0_15
export HBASE_MANAGES_ZK=false
export HBASE_HEAPSIZE=8000
export HBASE_LOG_DIR=/u02/hadoop/hbase-0.96.1.1/logs

vi $HBASE_HOME/conf/hbase-site.xml
<configuration>
 <property>
 <name>hbase.rootdir</name>
 <value>hdfs://qzj05:8020/hbase</value>
 </property>
 <property>
 <name>hbase.cluster.distributed</name>
 <value>true</value>
 </property>
 <property>
<name>hbase.tmp.dir</name>
 <value>/u02/hadoop/hbase-0.96.1.1/var</value>
 </property>
</configuration>

ln -s $HADOOP_HOME/etc/hadoop/hdfs-site.xml $HBASE_HOME/conf/hdfs-site.xml

vi $HBASE_HOME/conf/regionservers
 qzj05
 qzj02
 qzj04

5.     复制zookeeper的jar包至lib

rm -i $HBASE_HOME/lib/zookeeper-*
cp zookeeper-3.4.6.jar $HBASE_HOME/lib

6.     同步各节点时间

检查各节点时间是否同步，将三台服务器时间同步，若各节点时间差距过大会报错

时间同步参照此文http://blog.chinaunix.net/uid-20104120-id-3838847.html

7.     启动hbase

$HBASE_HOME/bin/start-hbase.sh
$HBASE_HOME/bin/hbase shell

输入jps命令检查

主节点下应有HMaster,HRegionServer进程，子节点有HRegionServer进程，检查日志

建表测试

 create ‘member‘,‘m_id‘,‘address‘,‘info‘

 查看是否创建成功：list

 若该过程未报错则说明hbase安装成功

 停止hbase：

$HBASE_HOME/bin/stop-hbase.sh

8.     报错及解决方法

                        i.             问题：

用SecureCRT远程连接服务器，运行hbase shell输入命令无法回删

解决方法：选项-全局选项-常规-预设的会话设置-编辑预设的设置-仿真

将终端改成Linux

保存设置之后就可以用CTRL+Backspace来删除了

四、           Hadoop/Zookeeper/Hbase优化

1.     修改hadoop配置

vi $HADOOP_HOME/etc/hadoop/hdfs-site.xml
 <property>
 <name>dfs.support.append</name>
 <value>true</value>
 </property>
 <property>
 <name>dfs.datanode.max.xcievers</name>
 <value>4096</value>
 </property>

2.     修改zookeeper配置

vi $ZK_HOME/conf/java.env
export JAVA_OPTS="-Xms1000m-Xmx1000m"

echo "maxClientCnxns=60" >>$ZK_HOME/conf/zoo.cfg

3.     修改hbase配置

vi $HBASE_HOME/conf/hbase-env.sh
export HBASE_HEAPSIZE=8000

vi $HBASE_HOME/conf/hbase-site.xml
<property>
 <name>zookeeper.session.timeout</name>
 <value>60000</value>
</property>

4.     同步至子节点

scp /u02/hadoop/hadoop-2.3.0/etc/hadoop/hdfs-site.xml qzj02:/u02/hadoop/hadoop-2.3.0/etc/hadoop/hdfs-site.xml
scp /u02/hadoop/hadoop-2.3.0/etc/hadoop/hdfs-site.xml qzj04:/u02/hadoop/hadoop-2.3.0/etc/hadoop/hdfs-site.xml
scp /u02/hadoop/zookeeper-3.4.6/conf/java.env qzj02:/u02/hadoop/zookeeper-3.4.6/conf/java.env
scp /u02/hadoop/zookeeper-3.4.6/conf/java.env qzj04:/u02/hadoop/zookeeper-3.4.6/conf/java.env

五、           配置Hive

编译后安装包：apache-hive-0.14.0-SNAPSHOT-bin.tar.gz

1.     编译最新版hive

用svn从 http://svn.apache.org/repos/asf/hive/trunk/

下载hive源码

cd hive-trunk
mvn clean install -DskipTests -Phadoop-2
mvn package -Pdist -DskipTests -Phadoop-2

将hive-trunk/packaging/target/apache-hive-0.14.0-SNAPSHOT-bin.tar.gz上传至服务器

2.     将apache-hive-0.14.0-SNAPSHOT-bin.tar.gz解压至/u02/hadoop/下

tar xzvf apache-hive-0.14.0-SNAPSHOT-bin.tar.gz -C /u02/hadoop
mv apache-hive-0.14.0-SNAPSHOT-bin hive

3.     修改~/.bash_profile(主节点及两个子节点上的)

vi ~/.bash_profile
export HIVE_HOME=/u02/hadoop/hive

source ~/.bash_profile

4.     修改配置文件

cd conf
cp hive-default.xml.templatehive-default.xml
cp hive-env.sh.template hive-env.sh
cp hive-exec-log4j.properties.templatehive-exec-log4j.properties
cp hive-log4j.properties.templatehive-log4j.properties

mv hive-default.xml  hive-site.xml

（hive-env.sh.template文件中存在一个bug，第2000行，<value>auth</auth>,应该改成<value>auth</value>，否则启动时会报错)

vi
export HADOOP_HOME=/u02/hadoop/hadoop-2.3.0
export HIVE_CONF_DIR=/u02/hadoop/hive/conf

主节点：

vi hive-site.xml
<property>
   <name>hive.metastore.warehouse.dir</name>
 <value>hdfs://qzj05:8020/hive</value>
 <description>location of default database for thewarehouse</description>
</property>
<property>
 <name>hive.exec.scratchdir</name>
 <value>hdfs://qzj05:8020/hive/scratchdir</value>
 <description>Scratch space for Hive jobs</description>
</property>
 <property>
  <name>hive.querylog.location</name>
  <value>/u02/hadoop/hive/logs</value>
  <description>
   Location of Hive run time structured log file
  </description>
 </property>
<property>
 <name>javax.jdo.option.ConnectionURL</name>
  <value>jdbc:mysql://192.168.10.199:3306/hiveMeta?createDatabaseIfNotExist=true</value>
  <description>JDBC connect string for a JDBCmetastore</description>
</property>
<property>
 <name>javax.jdo.option.ConnectionDriverName</name>
 <value>com.mysql.jdbc.Driver</value>
 <description>Driver class name for aJDBC metastore</description>
</property>
<property>
 <name>javax.jdo.option.ConnectionUserName</name>
 <value>root</value>
 <description>username to use against metastoredatabase</description>
</property>
<property>
 <name>javax.jdo.option.ConnectionPassword</name>
 <value>123456</value>
 <description>password to use against metastoredatabase</description>
</property>

5.     拷贝hbase-0.96.1.1.jar和zookeeper-3.4.6.jar到hive/lib下

rm hbase-0.94.6.1-tests.jar
rm hbase-0.94.6.1.jar
rm zookeeper-3.4.3.jar

从/u02/hadoop/hbase-0.96.0-hadoop2/lib下hbase开头的包都拷贝过来

find /u02/hadoop/hbase-0.96.1.1/lib -name "hbase*.jar"|xargs -i cp {} ./
cp /u02/hadoop/hbase-0.96.1.1/lib/protobuf-java-2.5.0.jar /u02/hadoop/hive-0.12.0/lib
cp /u02/hadoop/hbase-0.96.1.1/lib/zookeeper-3.4.6.jar /u02/hadoop/hive-0.12.0/lib
cp/u02/hadoop/hbase-0.96.1.1/lib/hbase-client-0.96.1.1-hadoop2.jar /u02/hadoop/hive-0.12.0/lib
cp/u02/hadoop/hbase-0.96.1.1/lib/hbase-common-0.96.1.1-hadoop2.jar /u02/hadoop/hive-0.12.0/lib
cp mysql-connector-java-3.1.12-bin.jar /u02/hadoop/hive-0.12.0/lib

6.     将hive同步至两个子节点

rsync -avz /u02/hadoop/hiveqzj02:/u02/hadoop
rsync -avz /u02/hadoop/hiveqzj04:/u02/hadoop

修改子节点hive-site.xml

<property> 
 <name>hive.metastore.uris</name> 
 <value>thrift://qzj05:9083</value> 
</property>

7.     启动hive

先启动hadoop,zookeeper,hbase

启动metastore：hive --service metastore

查看log是否报错

用nohup挂载

nohup ./hive --service metastore

hive --service hiveserver

./hive

查看mysql中的表

show tables;

在mysql中建表：

create table doudou(id int,name string);

CREATE TABLE hbase_table_1(key int,valuestring) STORED BY
‘org.apache.hadoop.hive.hbase.HBaseStorageHandler‘ WITH SERDEPROPERTIES ("hbase.columns.mapping" =":key,cf1:val")  TBLPROPERTIES ("hbase.table.name" ="xyz");

8.     报错及解决方法

                        i.             报错:

Exception in thread "main"java.lang.RuntimeException: java.lang.RuntimeException: Unable to instantiateorg.apache.hadoop.hive.metastore.HiveMetaStoreClient

Caused by: MetaException(message:Versioninformation not found in metastore. )

修改权限为777 （chmod 777 mysql-connector-java-3.1.12-bin.jar）

修改conf/hive-site.xml 中的“hive.metastore.schema.verification”  值为 false

                      ii.             报错：

javax.jdo.JDOFatalDataStoreException:Unable to open a test connection to the given database. JDBC url =jdbc:mysql://qzj05:3306/metastore?createDatabaseIfNotExist=true, username =root. Terminating connection pool. Original Exception: ------

java.sql.SQLException: Access denied foruser ‘root‘@‘qzj05‘ (using password: YES)

       at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:2928)

       at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:771)

       at com.mysql.jdbc.MysqlIO.secureAuth411(MysqlIO.java:3649)

       at com.mysql.jdbc.MysqlIO.doHandshake(

MysqlIO.java:1176)

       at com.mysql.jdbc.Connection.createNewIO(Connection.java:2558)

解决方法：将mysql中密码为空的设置为123456

use mysql;
select host,user,password from mysql.user;
update mysql.user set password =PASSWORD(‘123456‘) where password = ‘‘;
flush privileges;
GRANT ALL PRIVILEGES ON *.* TO ‘root‘@‘qzj02‘ Identified by ‘123456‘;

                     iii.             报错：

: command not found14.0/bin/ext/beeline.sh:line 15:

: command not found14.0/bin/ext/beeline.sh:line 19:

/u02/hadoop/hive-0.14.0/bin/ext/beeline.sh:line 20: syntax error near unexpected t‘ken `{

‘u02/hadoop/hive-0.14.0/bin/ext/beeline.sh:line 20: `beeline () {

: command notfound14.0/bin/ext/metatool.sh: line 15:

: command notfound14.0/bin/ext/metatool.sh: line 18:

/u02/hadoop/hive-0.14.0/bin/ext/metatool.sh:line 19: syntax error near unexpected ‘oken `{

‘u02/hadoop/hive-0.14.0/bin/ext/metatool.sh:line 19: `metatool () {

Service cli not found

orcfiledump rcfilecat schemaTool versionineage metastore metatool

解决方法：

vi -b $HIVE_HOME/bin/ext/beeline.sh  发现每行行尾多了个^M，这是由于该文本应该在C环境下编辑过，Linux编辑器对文件行末的回车符处理不一致，在Linux下经常能看到C文件或者TXT文件每行末尾都有一个^M符号，这个会导致shell脚本运行错误

在命令编辑行<按ESC键然后shift+:冒号>输入：%s/^M//g  这样就删除了行尾的^M，同理处理$HIVE_HOME/bin/ext/metatool.sh

六、           配置Sqoop

安装包: sqoop-1.99.3-bin-hadoop200.tar.gz

1.     修改环境变量

vi ~/.bash_profile
exportSQOOP_HOME=/u02/hadoop/sqoop-1.99.3-bin-hadoop200

source ~/.bash_profile

2.     添加需要的jar包（mysql与oracle的）

在oracle的安装路径下

cp database/stage/ext/jlib/ojdbc5.jar /u02/hadoop/sqoop-1.99.3-bin-hadoop200/server/lib
cp $HIVE_HOME/lib/mysql-connector-java-3.1.12-bin.jar /u02/hadoop/sqoop-1.99.3-bin-hadoop200/server/lib

3.     修改配置文件

cd server/conf
vi catalina.properties
common.loader=/u02/hadoop/hadoop-2.3.0/share/hadoop/common/*.jar,/u02/hadoop/hadoop-2.3.0/share/hadoop/common/lib/*.jar,/u02/hadoop/hadoop-2.3.0/share/hadoop/yarn/*.jar,/u02/hadoop/hadoop-2.3.0/share/hadoop/hdfs/*.jar,/u02/hadoop/hadoop-2.3.0/share/hadoop/mapreduce/*.jar,/u02/hadoop/sqoop-1.99.3-bin-hadoop200/server/lib/*.jar

vi sqoop.properties
org.apache.sqoop.submission.engine.mapreduce.configuration.directory=/u02/hadoop/hadoop-2.3.0/etc/hadoop

4.     同步至子节点

scp -r sqoop-1.99.3-bin-hadoop200qzj02:/u02/hadoop
scp -r sqoop-1.99.3-bin-hadoop200qzj04:/u02/hadoop

5.     sqoop命令（将mysql表导入至hdfs）

sqoop运行参照http://sqoop.apache.org/docs/1.99.3/Sqoop5MinutesDemo.html（提交job的时候用官网上的命令会报错）

启动：./bin/sqoop.sh server start

停止：./bin/sqoop.sh server stop

在子节点上

./bin/sqoop.sh client
sqoop:000> set server --host192.168.10.199 --port 12000 --webapp sqoop
sqoop:000> show version --all

在server上

./bin/sqoop.sh client

create connection --cid 1

Using Connector id 1

 Connection configuration

   JDBC Driver Class: com.mysql.jdbc.Driver

   JDBC Connection String: jdbc:mysql://192.168.10.199:3306/hiveMeta

   Username: root

   Password:

   JDBC Connection Properties:

 Security related configuration options

   Max connections: 100

sqoop:000> create job --xid 1 --typeimport

Database configuration

   Schema name: hiveMeta

   Table name: ROLES

   Table SQL statement:

   Table column names:

   Partition column name:

   Nulls in partition column:

   Boundary query:

 Output configuration

   Storage type: HDFS

   Output format: TEXT_FILE

   Compression format: NONE

   Output directory: /user/jarcec/test3

 Throttling resources

   Extractors:

   Loaders:

执行job：

sqoop:000>start job --jid 1

6.     报错及解决方法

                        i.             submission start --jid 1   时

报错:No such property: start for class: groovysh_evaluate

解决方法：改成start job --jid 1

                      ii.             status job --jid 1时

报错：Exception: org.apache.sqoop.common.SqoopException Message:CLIENT_0001:Server has returned exception

解决方法：show job 发现没有id为1的job，之前删除了id为1的job，新建的job id为2

status job --jid 2

                     iii.             运行job最后状态为failed，检查日志报错

Application application_1397717698978_0004failed 2 times due to AM Container for appattempt_1397717698978_0004_000002exited with exitCode: 1 due to: Exception from container-launch:org.apache.hadoop.util.Shell$ExitCodeException:

org.apache.hadoop.util.Shell$ExitCodeException:

atorg.apache.hadoop.util.Shell.runCommand(Shell.java:505)

atorg.apache.hadoop.util.Shell.run(Shell.java:418)

atorg.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:650)

atorg.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:195)

atorg.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:283)

at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:79)

atjava.util.concurrent.FutureTask$Sync.innerRun(FutureTask.java:334)

atjava.util.concurrent.FutureTask.run(FutureTask.java:166)

at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)

atjava.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)

at java.lang.Thread.run(Thread.java:722)

Container exited with a non-zero exit code1

.Failing this attempt.. Failing theapplication.

执行如下命令测试job：

$HADOOP_HOME/bin/hadoop jar$HADOOP_HOME/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.3.0.jar pi 10 5

如果报错则说明hadoop配置有问题，检查$HADOOP_HOME/etc/hadoop/mapred-site.xml

发现mapreduce.jobhistory.webapp.address这个参数配错了，应为qzj05:19888

                     iv.             编译时报错:Too many unapproved licenses: 1

vi /etc/profile

export MAVEN_OPTS="-Xms512m -Xmx1024m-XX:PermSize=256m -XX:MaxPermSize=512m"

source /etc/profile

mvn clean install -DskipTests -Phaop200-Drat.numUnapprovedLicenses=100

 -Drat.numUnapprovedLicenses=100

mvn package -Pdist -DskipTests -Phadoop200

                      v.             编译时报错：

Arequired class was missing while executingorg.apache.maven.plugins:maven-site-plugin:3.0-beta-3:site:org/sonatype/aether/graph/DependencyFilter

解决方法：

vi ./docs/pom.xml

将

<id>packaging-documentation</id>

  <phase>package</phase>

修改为

 <id>packaging-documentation</id>

 <phase>runtime</phase>

Hadoop2.3.0+Hbase0.96.1.1+Hive0.14.0+Zookeeper3.4.6+Sqoop1.99.3安装配置流程

标签：hadoop   hbase   hive   sqoop   zookeeper   

原文地址：http://blog.csdn.net/daytimemoon/article/details/24036369