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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
[root@localhostmysql-connector-java-5.1.41]# 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
<configuration> <property> <name>hive.metastore.warehouse.dir</name> <value>/usr/hive/warehouse</value> <description>location of default database for the warehouse</description> </property> <property> <name>hive.metastore.local</name> <value>true</value> <description>Use false if a production metastore server is used</description> </property> <property> <name>hive.exec.scratchdir</name> <value>/tmp/hive</value> <description>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}/<username> is created, with ${hive.scratch.dir.permission}.</description> </property> <property> <name>javax.jdo.option.ConnectionURL</name> <value>jdbc:mysql://localhost:3306/hive_db?createDatabaseIfNoExist=true</value> <description> 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. </description> </property> <property> <name>javax.jdo.option.ConnectionDriverName</name> <value>com.mysql.jdbc.Driver</value> <description>User-Defined(Roy) Driver class name for a JDBC metastore</description> </property> <property> <name>javax.jdo.option.ConnectionUserName</name> <value>root</value> <description>User-defined(Roy)Username to use against metastore database</description> </property> <property> <name>javax.jdo.option.ConnectionPassword</name> <value>password</value> <description>User-defined(Roy)password to use against metastore database</description> </property> </configuration>
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
搭建Hadoop2.7.3+Hive2.1.1及MySQL(配置Hive+MySQL+Connector)(三)
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