sqoop2-1.99.5-cdh5.5.4.tar.gz的部署搭建

　　不多说，直接上干货！

　　

　　首先，说下博主我，为什么，好端端的Sqoop1用的好好的，然后又安装和学习Sqoop2？

　　因为，在Cloudera Hue里的Sqoop，是需要Sqoop2。

HUE配置文件hue.ini 的sqoop模块详解（图文详解）（分HA集群）

Sqoop2安装简介

　　sqoop2的安装分为server端和client端。
　　server端：负责与hadoop集群通信进行数据的迁移，client端负责与用户和server交互。
　　client端：不用安装， 只需要将其安装包解压到集群中任何的机器上去，然后对其进行解压即可， 无需其他额外的配置。

　　Sqoop分client和server，server安装在Hadoop或Spark集群中的某个节点上，这个节点充当要连接sqoop的入口节点，

　　client端不需要安装hadoop。

　　本博文是个入门，即只在bigdatamaster上安装server端。当然你也可以假设认为server和client都在bigdatamaster上哈。

　　对于Sqoop和hive这样的组件，我一般都是安装在master节点，即在本博客里是bigdatamaster。

http://archive.cloudera.com/cdh5/cdh/5/sqoop2-1.99.5-cdh5.5.4.tar.gz

　

[hadoop@bigdatamaster app]$ cd sqoop
[hadoop@bigdatamaster sqoop]$ pwd
/home/hadoop/app/sqoop
[hadoop@bigdatamaster sqoop]$ ll
total
drwxr-xr-x   hadoop hadoop   Apr    bin
-rw-r--r--   hadoop hadoop  Apr    CHANGELOG.txt
drwxr-xr-x   hadoop hadoop   Apr    client
drwxr-xr-x   hadoop hadoop   Apr    cloudera
drwxr-xr-x   hadoop hadoop   Apr    common
drwxr-xr-x   hadoop hadoop   Apr    common-test
drwxr-xr-x   hadoop hadoop   Apr    connector
drwxr-xr-x   hadoop hadoop   Apr    core
drwxr-xr-x   hadoop hadoop   Apr    dev-support
drwxr-xr-x   hadoop hadoop   Apr    dist
drwxr-xr-x   hadoop hadoop   Apr    docs
drwxr-xr-x   hadoop hadoop   Apr    execution
-rw-r--r--   hadoop hadoop  Apr    LICENSE.txt
-rw-r--r--   hadoop hadoop    Apr    NOTICE.txt
-rw-r--r--   hadoop hadoop  Apr    pom.xml
-rw-r--r--   hadoop hadoop   Apr    README.txt
drwxr-xr-x   hadoop hadoop   Apr    repository
drwxr-xr-x   hadoop hadoop   Apr    security
drwxr-xr-x  hadoop hadoop   Apr    server
drwxr-xr-x   hadoop hadoop   Apr    shell
drwxr-xr-x   hadoop hadoop   Apr    submission
drwxr-xr-x   hadoop hadoop   Apr    test
drwxr-xr-x   hadoop hadoop   Apr    tomcat
drwxr-xr-x   hadoop hadoop   Apr    tools
[hadoop@bigdatamaster sqoop]$ 

　

　　配置环境变量

[hadoop@bigdatamaster sqoop]$ su root
Password:
[root@bigdatamaster sqoop]# vim /etc/profile

#sqoop1
#export SQOOP_HOME=/home/hadoop/app/sqoop
#export PATH=$PATH:$SQOOP_HOME/bin

#sqoop2
export SQOOP_HOME=/home/hadoop/app/sqoop
export PATH=$PATH:$SQOOP_HOME/bin
export CATALINA_BASE=/home/hadoop/app/sqoop/server
export LOGDIR=$SQOOP_HOME/logs/

对于Sqoop2的server端安装配置（说明）

• 解压软件包到一个目录下。（我一般是放在/home/hadoop/app下）
• 修改环境变
  export SQOOP_HOME=/home/hadoop/app/sqoop  （因为我是用的软链接）
  export PATH=$PATH:$SQOOP_HOME/bin
  export CATALINA_BASE=$SQOOP_HOME/server
  export LOGDIR=$SQOOP_HOME/logs/
• 生效环境变量的配置
• source 配置文件名

• 修改sqoop配置：
  vi server/conf/sqoop.properties
  将org.apache.sqoop.submission.engine.mapreduce.configuration.directory后面hadoop的位置修改为自己安装的hadoop配置文件位置，我的为:/home/hadoop/app/hadoop/

• 修改sqoop读取hadoop的jar包的路径 vi /sqoop/server/conf/catalina.properties
  将common.loader行后的/usr/lib/hadoop/lib/.jar改成自己的hadoop jar 包目录，我的为：
  /home/hadoop/app/hadoop/share/hadoop/common/.jar,
  /home/hadoop/app/hadoop/share/hadoop/common/lib/.jar,
  /home/hadoop/app/hadoop/share/hadoop/hdfs/.jar,
  /home/hadoop/app/hadoop/share/hadoop/hdfs/lib/.jar,
  /home/hadoop/app/hadoop/share/hadoop/mapreduce/.jar,
  /home/hadoop/app/hadoop/share/hadoop/mapreduce/lib/.jar,
  /home/hadoop/app/hadoop/share/hadoop/tools/.jar,
  /home/hadoop/app/hadoop/share/hadoop/tools/lib/.jar,
  /home/hadoop/app/hadoop/share/hadoop/yarn/.jar,
  /home/hadoop/app/hadoopshare/hadoop/yarn/lib/*.jar

注意： 在修改common.loader的过程中， 不能换行

　　本步骤的另外的一种方法是： 直接将上诉的包 拷贝到$SQOOP_HOME/server/lib文件夹内部- 将mysql的连接jar包拷贝的$SQOOP_HOME/lib文件夹中（lib文件夹需要自己创建）到此sqoop就基本配置完成可以直接运行.

下面是，对sqoop2的配置文件进行配置

　　1、修改$SQOOP_HOME/server/conf/catalina.properties文件中的common.loader属性，在其后增加（写到一行）：

$HADOOP_HOME/share/hadoop/common/*.jar，
$HADOOP_HOME/share/hadoop/common/lib/*.jar，
$HADOOP_HOME/share/hadoop/yarn/*.jar，
$HADOOP_HOME/share/hadoop/hdfs/*.jar，
$HADOOP_HOME,/share/hadoop/mapreduce/*.jar  

[hadoop@bigdatamaster conf]$ pwd
/home/hadoop/app/sqoop/server/conf
[hadoop@bigdatamaster conf]$ ll
total
-rw-r--r--  hadoop hadoop   May     catalina.policy
-rw-r--r--  hadoop hadoop    Apr    catalina.properties
-rw-r--r--  hadoop hadoop    May     context.xml
-rw-r--r--  hadoop hadoop    May     logging.properties
-rw-r--r--  hadoop hadoop    Apr    server.xml
-rw-r--r--  hadoop hadoop    Apr    sqoop_bootstrap.properties
-rw-r--r--  hadoop hadoop    Apr    sqoop.properties
-rw-r--r--  hadoop hadoop    May     tomcat-users.xml
-rw-r--r--  hadoop hadoop  May     web.xml
[hadoop@bigdatamaster conf]$ vim catalina.properties 

$HADOOP_HOME/share/hadoop/common/*.jar,$HADOOP_HOME/share/hadoop/common/lib/*.jar,$HADOOP_HOME/share/hadoop/yarn/*.jar,$HADOOP_HOME/share/hadoop/hdfs/*.jar,$HADOOP_HOME,/share/hadoop/mapreduce/*.jar

　　2、修改$SQOOP_HOME/server/conf/sqoop.properties文件org.apache.sqoop.submission.engine.mapreduce.configuration.directory属性，指向本机hadoop配置目录。

[hadoop@bigdatamaster conf]$ pwd
/home/hadoop/app/sqoop/server/conf
[hadoop@bigdatamaster conf]$ ll
total
-rw-r--r--  hadoop hadoop   May     catalina.policy
-rw-r--r--  hadoop hadoop    May   : catalina.properties
-rw-r--r--  hadoop hadoop    May     context.xml
-rw-r--r--  hadoop hadoop    May     logging.properties
-rw-r--r--  hadoop hadoop    Apr    server.xml
-rw-r--r--  hadoop hadoop    Apr    sqoop_bootstrap.properties
-rw-r--r--  hadoop hadoop    Apr    sqoop.properties
-rw-r--r--  hadoop hadoop    May     tomcat-users.xml
-rw-r--r--  hadoop hadoop  May     web.xml
[hadoop@bigdatamaster conf]$ vim sqoop.properties 

# Hadoop configuration directory
org.apache.sqoop.submission.engine.mapreduce.configuration.directory=/home/hadoop/app/hadoop/conf/

　　3、$SQOOP_HOME/server/conf/server.xml是Tomcat的配置文件，端口什么的可以在这个文件设置

　　这里，我暂时不设置。

　　4、复制mysql-connector-java-5.1.21.jar到$SQOOP_HOME/server/lib/下

[hadoop@bigdatamaster lib]$ pwd
/home/hadoop/app/sqoop2-1.99.-cdh5.5.4/server/lib
[hadoop@bigdatamaster lib]$ ls
annotations-api.jar  catalina-ha.jar  catalina-tribes.jar  el-api.jar     jasper.jar   servlet-api.jar                   tomcat-coyote.jar  tomcat-i18n-es.jar  tomcat-i18n-ja.jar
catalina-ant.jar     catalina.jar     ecj-4.3..jar        jasper-el.jar  jsp-api.jar  sqoop-tomcat-1.99.-cdh5.5.4.jar  tomcat-dbcp.jar    tomcat-i18n-fr.jar
[hadoop@bigdatamaster lib]$ rz

[hadoop@bigdatamaster lib]$ ls
annotations-api.jar  catalina.jar         el-api.jar     jsp-api.jar                      sqoop-tomcat-1.99.-cdh5.5.4.jar  tomcat-i18n-es.jar
catalina-ant.jar     catalina-tribes.jar  jasper-el.jar  mysql-connector-java-5.1..jar  tomcat-coyote.jar                 tomcat-i18n-fr.jar
catalina-ha.jar      ecj-4.3..jar        jasper.jar     servlet-api.jar                  tomcat-dbcp.jar                   tomcat-i18n-ja.jar
[hadoop@bigdatamaster lib]$ 

Sqoop2全部配置好之后，按照如下的顺序来

　　1、启动Sqoop2的server（我这里做个最简单的，在bigdatamaster上）。启动sqoop服务

$SQOOP_HOME/bin/sqoop.sh server start  

[hadoop@bigdatamaster hadoop]$ cd $SQOOP_HOME
[hadoop@bigdatamaster sqoop]$ pwd
/home/hadoop/app/sqoop
[hadoop@bigdatamaster sqoop]$ $SQOOP_HOME/bin/sqoop.sh server start
Sqoop home directory: /home/hadoop/app/sqoop
Setting SQOOP_HTTP_PORT:
Setting SQOOP_ADMIN_PORT:
Using   CATALINA_OPTS:
Adding to CATALINA_OPTS:    -Dsqoop.http.port= -Dsqoop.admin.port=
Using CATALINA_BASE:   /home/hadoop/app/sqoop/server
Using CATALINA_HOME:   /home/hadoop/app/sqoop/server
Using CATALINA_TMPDIR: /home/hadoop/app/sqoop/server/temp
Using JRE_HOME:        /home/hadoop/app/jdk
Using CLASSPATH:       /home/hadoop/app/sqoop/server/bin/bootstrap.jar
[hadoop@bigdatamaster sqoop]$ jps
 QuorumPeerMain
 NameNode
 Bootstrap
 Jps
 SecondaryNameNode
 ResourceManager
[hadoop@bigdatamaster sqoop]$ 

　　jsp命令看到Bootstrap进程。

　　2、启动Sqoop2的client（我这里做个最简单的，在bigdatamaster上），进入客户端交互模式。进入sqoop控制台

$SQOOP_HOME/bin/sqoop.sh client  

[hadoop@bigdatamaster sqoop]$ pwd
/home/hadoop/app/sqoop
[hadoop@bigdatamaster sqoop]$ $SQOOP_HOME/bin/sqoop.sh client
Sqoop home directory: /home/hadoop/app/sqoop
May ,  :: PM java.util.prefs.FileSystemPreferences$ run
INFO: Created user preferences directory.
Sqoop Shell: Type 'help' or '\h' for help.

sqoop:> 

　　3、在Sqoop2的client连接Sqoop2的server 。 连接服务器

sqoop:> set server --host bigdatamaster  --port   --webapp sqoop

sqoop:000> set server --host localhost  --port 12000  --webapp sqoop

sqoop:000> show version --all     

　　当看到show version -all正确的显示 就说明了Sqoop2的client连接上了Sqoop2的服务器。

　　show version --all            显示服务器、客户端的版本信息，如果server显示错误，

　　　　重启一下 server./sqoop.sh server stop

[hadoop@bigdatamaster sqoop]$ pwd
/home/hadoop/app/sqoop
[hadoop@bigdatamaster sqoop]$ $SQOOP_HOME/bin/sqoop.sh client
Sqoop home directory: /home/hadoop/app/sqoop
May ,  :: PM java.util.prefs.FileSystemPreferences$ run
INFO: Created user preferences directory.
Sqoop Shell: Type 'help' or '\h' for help.

sqoop:> set server --host bigdatamaster  --port   --webapp sqoop
Server is set successfully
sqoop:> show version --all
client version:
  Sqoop 1.99.-cdh5.5.4 source revision 9e81b8b90b040997e8d6080e9bf43c7723bb382f
  Compiled by jenkins on Mon Apr  :: PDT
    [main] WARN  org.apache.hadoop.util.NativeCodeLoader  - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Exception has occurred during processing command
Exception: org.apache.sqoop.common.SqoopException Message: CLIENT_0000:An unknown error has occurred
sqoop:>  

sqoop:> show connector --all   查看连接器  

sqoop:> show connection --all  查看连接 

sqoop:> show connection --xid   查看id为1的连接  

sqoop:> create connection --cid   创建id为1的连接 

<pre name="code" class="java">Creating connection for connector with id
Please fill following values to create new connection object
Name: mysql  --输入名称    

Connection configuration    

JDBC Driver Class: com.mysql.jdbc.Driver  --输入
JDBC Connection String: jdbc:mysql://bigdatamaster:3306/sqoop --输入
Username: root --输入
Password: ****** --输入
JDBC Connection Properties:
There are currently  values in the map:
entry#     

Security related configuration options    

Max connections:  --输入
New connection was successfully created with validation status FINE and persistent id   

sqoop:> create job --xid  --type import  

Creating job for connection with id
Please fill following values to create new job object
Name: mysql_job    

Database configuration    

Schema name:
Table name: userinfo  要全量导出一张表，请填写表名，table name 和 table sql statement不能同时配置
Table SQL statement:   如果填写格式必须为 select * from userinfo where ${CONDITIONS}
Table column names:
Partition column name: id  使用哪个字段来填充过滤条件 userid
Nulls in partition column:
Boundary query:  如果选择sql方式，这里要写一个查询语句，返回值需为整形，sqoop运行job时，会自动填充${CONDITIONS} 这个占位符,如：select , from userinfo  

Output configuration    

Storage type:
   : HDFS
Choose:
Output format:
   : TEXT_FILE
   : SEQUENCE_FILE
Choose:
Compression format:
   : NONE
   : DEFAULT
   : DEFLATE
   : GZIP
   : BZIP2
   : LZO
   : LZ4
   : SNAPPY
Choose:
Output directory: /home/hadoop/out    

Throttling resources    

Extractors:
Loaders:
New job was successfully created with validation status FINE  and persistent id    

sqoop:> start job --jid      启动
Submission details
Job ID:
Server URL: http://localhost:12000/sqoop/  

<span style="font-family: Consolas, 'Courier New', Courier, mono, serif; line-height: 18px;">hadoop fs -ls /mysql/out </span>  

　　更详细，请见

http://sqoop.apache.org/docs/1.99.5/Sqoop5MinutesDemo.html