搭建Hadoop2.7.3+Hive2.1.1及MySQL(配置Hive+MySQL+Connector）(三)

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搭建Hadoop2.7.3+Hive2.1.1及MySQL(配置Hive+Hadoop）(二)

准备工作下载最新连接器地址

https://dev.mysql.com/downloads/connector/j/

例子：下载mysql-connector-java-5.1.41.tar

1、解压连接器connector文件

1.1、解压

[root@localhost Software]# tar xzfmysql-connector-java-5.1.41.tar.gz
[root@localhost Software]# cd mysql-connector-java-5.1.41/

1.2、查看文件夹

[[email protected]]# ll

1.3、Copy到hive/lib路径下

[root@localhost Software]# cpmysql-connector-java-5.1.41/mysql-connector-java-5.1.41-bin.jar/usr/hive/lib/mysql-connector-java-5.1.41-bin.jar

2、登陆MySQL创建数据库:hive_db（注意配置hive-site.xml时有指定）

2.1、用户名:root 密码:password，另开一个终端登陆MySQL,创建数据库hive_db

[root@localhost hive]# mysql -u root -ppassword

 mysql> create database hive_db;

3、改配置文件hive-site.xml

以下只列出改动的配置项，其它保留默认

	
		hive.metastore.warehouse.dir
		/usr/hive/warehouse
		location of default database for the warehouse
	
	
		hive.metastore.local
		true
		Use false if a production metastore server is used
	
	
		hive.exec.scratchdir
		/tmp/hive
		HDFS root scratch dir for Hive jobs which gets created with write all (733) permission. For each connecting user, an HDFS scratch dir: ${hive.exec.scratchdir}/ is created, with ${hive.scratch.dir.permission}.
	
	
		javax.jdo.option.ConnectionURL
		jdbc:mysql://localhost:3306/hive_db?createDatabaseIfNoExist=true
		 Roy
      JDBC connect string for a JDBC metastore.
      To use SSL to encrypt/authenticate the connection, provide database-specific SSL flag in the connection URL.
      For example, jdbc:postgresql://myhost/db?ssl=true for postgres database.
    
	
	
		javax.jdo.option.ConnectionDriverName
		com.mysql.jdbc.Driver
		User-Defined(Roy) Driver class name for a JDBC metastore
	
	
		javax.jdo.option.ConnectionUserName
		root
		User-defined(Roy)Username to use against metastore database
	
	
		javax.jdo.option.ConnectionPassword
		password
		User-defined(Roy)password to use against metastore database
	

4、使用schematool初始化

[root@localhost hive]# schematool -dbType mysql  -initSchema

--显示成功

schemaTool completed

5、启动hive服务端程序

5.1、启动hive服务端

[root@localhost hive]# hive --servicemetastore &

--屏幕提示信息不显示时，按ctrl+c退出

5.2、查看进程信息

[root@localhost hive]# jps

--显示进程信息多了（RunJar）

51280 Jps
5985 SecondaryNameNode
6226 ResourceManager
45766 DataNode
5753 NameNode
51194 RunJar
6348 NodeManager

5.3、有需要时，可启动hive  远程服务 (端口号10000)

[root@localhost hive]# hive --servicehiveserver &

6、测试环境配置是否成功

6.1、准备导入文本文件/root/桌面/Test/wc-in/a.txt

格式：

1,h
2,i
3,v
4,e

6.2、登陆hive成功后，测试创建表

root@localhost hadoop]# hive

6.2.1、创建表及指定逗号（，）为分隔符

hive> create table a(id int,name string)
   > row format delimited fields terminated by ',';

--显示信息

OK
Time taken: 0.288 seconds

6.2.2、导入文件a.txt

hive> load data local inpath '/root/桌面/Test/wc-in/a.txt' into table a;

--显示信息

Loading data to table default.a
OK
Time taken: 0.763 seconds

6.2.3、查看效果

hive> select * from a;

--显示信息

OK
1     h
2     i
3     v
4     e
Time taken: 0.309 seconds, Fetched: 4row(s)

6.3、在Hive内使用dfs命令

6.3.1、查看a表dfs存储路径

hive> dfs -ls /usr/hive/warehouse/a;

--显示信息

Found 1 items
-rw-r--r--  1 root supergroup         16 2017-03-08 17:46/usr/hive/warehouse/a/a.txt

6.3.2、查看文件内容

hive> dfs -cat /usr/hive/warehouse/a/*;

--显示信息

1,h
2,i
3,v
4,e

7、登陆MySQL查看创建表

[root@localhost conf]# mysql -u root -ppassword

mysql> use hive_db;
mysql> select TBL_ID, CREATE_TIME,DB_ID, OWNER, TBL_NAME,TBL_TYPE from TBLS;

--显示信息

+--------+-------------+-------+-------+----------+---------------+
| TBL_ID | CREATE_TIME | DB_ID | OWNER |TBL_NAME | TBL_TYPE      |
+--------+-------------+-------+-------+----------+---------------+
|    37 |  1488966386 |     1 | root | a        | MANAGED_TABLE |
+--------+-------------+-------+-------+----------+---------------+
1 row in set (0.03 sec)

8、在hdfs查看生成文件（同上步骤[6.3]）

8.1、查看a表存储路径

[root@localhost hadoop]# hdfs dfs -ls/usr/hive/warehouse/a

-- 显示信息

Found 1 items
-rw-r--r--  1 root supergroup         162017-03-08 17:46 /usr/hive/warehouse/a/a.txt

8.2、查看内容

[root@localhost hadoop]# hdfs dfs -cat  /usr/hive/warehouse/a/*

--显示信息

1,h
2,i
3,v
4,e

 

常见问题处理：

1、启动hive时报错

[root@localhost hive]# hive

--显示报错信息

Caused by:org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.hdfs.server.namenode.SafeModeException):Cannot create directory /tmp/hive/root/24f1d91f-f32b-47e1-824d-ba26b02bd13e.Name node is in safe mode.

原因：hadoop为安全模式

--解决方法：

关闭安全模式

[root@localhost hadoop]# hadoop dfsadmin-safemode leave

--显示信息

DEPRECATED: Use of this script to executehdfs command is deprecated.
Instead use the hdfs command for it.
 
Safe mode is OFF

2、在导入数据时出错信息

hive> load data local inpath '/root/桌面/Test/wc-in/a.txt' into table a;

--显示报错信息

FAILED: Execution Error, return code 1 fromorg.apache.hadoop.hive.ql.exec.MoveTask.org.apache.hadoop.ipc.RemoteException(java.io.IOException): File/usr/hive/warehouse/a/a_copy_2.txt could only be replicated to 0 nodes insteadof minReplication (=1).  There are 0datanode(s) running and no node(s) are excluded in this operation.

原因：hadoop没有启动datanote

解决方法：

[root@localhost hive]# start-dfs.sh
[root@localhost hive]# jps

--显示信息

51152 Jps
5985 SecondaryNameNode
6226 ResourceManager
45766 DataNode
5753 NameNode
6348 NodeManager

应网友要求测个例子：

--调用HiveServer2客户端和beeline命令用法

--启用服务，信息不动时Ctrl+C退出

[root@localhost bin]# hiveserver2 

[root@localhost bin]# beeline

显示信息如下：

which: no hbase in (/usr/lib64/qt-3.3/bin:/root/perl5/bin:/usr/local/bin:/usr/local/sbin:/usr/bin:/usr/sbin:/bin:/sbin:/usr/hadoop/bin:/usr/hadoop/bin:/usr/hadoop/sbin:/usr/hive/bin:/usr/java/jdk1.8.0_111/bin:/root/bin:/usr/hadoop/bin:/usr/hadoop/sbin:/usr/hive/bin:/usr/java/jdk1.8.0_111/bin)
Beeline version 2.1.1 by Apache Hive
beeline> 

连接和登陆账号密码输入：

Connecting to jdbc:mysql://localhost:3306/hive_db
Enter username for jdbc:mysql://localhost:3306/hive_db: root
Enter password for jdbc:mysql://localhost:3306/hive_db: ********

--测试创建表:

0: jdbc:mysql://localhost:3306/hive_db> create table Test_beeline(id int);

显示信息:

No rows affected (0.044 seconds)

--查看创建表

0: jdbc:mysql://localhost:3306/hive_db> show tables;