安裝Hive(獨立模式 使用MySQL連接) 1 .默認安裝了java+hadoop 2 .下載對應hadoop版本的安裝包 3 .解壓安裝包 tar zxvf apache-hive- 1.2 . 1 -bin.tar.gz 4 .安裝mysql yum -y install mysql-server mysql mysqldev //需要以root身份運行 另外可能需要配置yum源 mysql常用命令: service mysqld start/stop chkconfig mysqld on //加入開機啟動 以系統root用戶操作 5 .授權mysql(以系統hadoop身份 數據庫root身份進行操作) mysqladmin -u root passWord "root" //修改root密碼為root mysql -uroot -p密碼 (初始密碼為空) create user 'hive' identified by 'hive' ; //創建用于連接的hive用戶 密碼為hive grant all PRivileges on *.* to 'hive' @ '%' identified by "hive" with grant option; flush privileges; //刷新權限 grant all privileges on *.* to 'hive' @ 'localhost' identified by "hive" with grant option; flush privileges; //刷新權限 grant all privileges on *.* to 'hive' @ 'hadoop.master' identified by "hive" with grant option; flush privileges; //刷新權限 set global binlog_format= 'MIXED' ; //設置格式 必須執行。不然報錯 exit; service mysqld restart //重啟服務 6 .測試連接 mysql -hhadoop.master -uhive -phive //能進去則表示設置成功 create database hive; //創建連接數據庫hive alter database hive character set latin1; 7 .配置環境變量(/etc/profile) #hive export HIVE_HOME=/opt/hive- 1.2 . 1 export HIVE_AUX_JARS_PATH=/opt/hive- 1.2 . 1 /lib export HIVE_CONF_DIR=/opt/hive- 1.2 . 1 /conf export PATH=$PATH:$HIVE_HOME/bin export CLASSPATH=$CLASSPATH:$HIVE_HOME/lib 保存退出 source /etc/profile 8 .修改配置文件 1 .根據模版復制配置文件 cp hive- default .xml.template hive-site.xml cp hive-env.sh.template hive-env.sh cp hive-log4j.properties.template hive-log4j.properties 2 .修改配置文件 ####hive-site.xml#### //添加項目 --0.11 版本以后可不用添加此項 <property> <name>hive.metastore.local</name> <value> false </value> </property> //修改項目 <property> <name>javax.jdo.option.ConnectionURL</name> <value>jdbc:mysql: //hadoop.master:3306/hive</value> <description>JDBC connect string for a JDBC metastore</description> </property> <property> <name>javax.jdo.option.ConnectionDriverName</name> <value>com.mysql.jdbc.Driver</value> <description>Driver class name for a JDBC metastore</description> </property> <property> <name>javax.jdo.option.ConnectionUserName</name> <value>hive</value> <description>Username to use against metastore database</description> </property> <property> <name>javax.jdo.option.ConnectionPassword</name> <value>hive</value> <description>password to use against metastore database</description> </property> <property> <name>hive.exec.local.scratchdir</name> <value>/opt/hive- 1.2 . 1 /tmp</value> //需要創建此目錄 <description>Local scratch space for Hive jobs</description> </property> <property> <name>hive.downloaded.resources.dir</name> <value>/opt/hive- 1.2 . 1 /tmp</value> <description>Temporary local directory for added resources in the remote file system.</description> </property> <property> <name>hive.hwi.war.file</name> <value>/opt/hive- 1.2 . 1 /lib/hive-hwi- 1.2 . 1 .jar</value> <description>This sets the path to the HWI war file, relative to ${HIVE_HOME}. </description> </property> ####hive-env.sh#### HADOOP_HOME=/opt/hadoop- 2.5 . 2 ####hive-log4j.properties#### hive.log.threshold=ALL hive.root.logger=INFO,DRFA hive.log.dir=/opt/hive- 1.2 . 1 /logs //需創建相應目錄 hive.log.file=hive.log 9 .其他配置項 1 .hdfs上創建相應文件夾并修改權限 hadoop fs -mkdir -p /tmp/hive hadoop fs -chmod 777 /tmp/hive hadoop fs -mkdir -p /user/hive hadoop fs -chmod 777 /user/hive 2 .修改hadoop hadoop-env.sh配置文件 export HADOOP_CLASSPATH=$HADOOP_CLASSPATH:$CLASSPATH 3 .將mysql jdbc jar包拷貝到lib目錄下 cp mysql-connector-java- 5.1 . 21 .jar /opt/hive- 1.2 . 1 /lib 4 .將lib目錄下的jline- 2.12 .jar 拷貝到/opt/hadoop- 2.5 . 2 /share/hadoop/yarn/lib下,并將相應包重屬名 cp /opt/hive- 1.2 . 1 /lib/jline- 2.12 .jar /opt/hadoop- 2.5 . 2 /share/hadoop/yarn/lib mv /opt/hadoop- 2.5 . 2 /share/hadoop/yarn/lib/jline- 0.9 . 94 .jar /opt/hadoop- 2.5 . 2 /share/hadoop/yarn/lib/jline- 0.9 . 94 .jar.bak 9 .使用驗證 hive --service metastore & //開機首次執行 hive -e "show databases;" //運行完不報錯即安裝成功 也可以使用hive命令行進去執行 10 .常用命令 1 .顯示 show tables; show databases; 2 .定義 //添加外部分區表 推薦以后就是用這種表 create external table access_info(ip string,access_date string,url string) partitioned by(logdate string) row format delimited fields terminated by '/t' desc access_info; 3 .添加數據 alter table access_info add partition(logdate= '2016-01-15' ) location '/access' ; --加載文件hdfs實際路徑 access為文件夾名稱 load data local inpath '/home/hadoop/huangzhijian/access.txt' into table access_info_local_file; --加載本地文件 3 .查詢 select * from access_info; 4 .刪除 drop table access_info; //外部表不會刪除原本數據 內部表就會刪除原數據 //注意不能update 5 .其他 1 .hive –f test.sql ####test.sql#### select * from t1; select count(*) from t1; 2 .hive -e 'hql語句' 3 .hive -S -e 'select * from t1' (用法與第一種方式的靜音模式一樣,不會顯示mapreduce的操作過程) 4 .hive -e 'select * from t1' > test.txt (將結果輸出到本地文件中) |
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