1.下載Hive安裝包：

　　官網(wǎng)下載：http://hive.apache.org/downloads.html

2.上傳Hive的tar包，并解壓：
建議和hadoop目錄在一級，方便后續(xù)使用；

　　解壓：tar -zxvf apache-hive-1.2.1-bin.tar.gz -C /home/hadoop/hive

　　修改解壓后的文件名稱：mv apache-hive-1.2.1-bin hive-1.2.1

3.安裝MySql：
　　MySQL用于存儲Hive的元數(shù)據(jù)，(安裝教程見之前的文章)

4.修改配置文件：主要是配置metastore（元數(shù)據(jù)存儲）存儲方式
　　4.1. vi /home/hadoop/hive/hive-1.2.1/conf/hive-site.xml（存儲方式：內嵌Derby方式、本地mysql、遠端mysql）

　　4.2 粘貼如下內容：

<configuration><property><name>javax.jdo.option.ConnectionURL</name><value>jdbc:mysql://localhost:3306/hive?createDatabaseIfNotExist=true</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>root</value><description>username to use against metastore database</description></property><property><name>javax.jdo.option.ConnectionPassword</name><value>root</value> <description>password to use against metastore database</description></property> </configuration>

5.拷貝jar包：

　　拷貝mysql驅動jar包到Hive的lib目錄下面去，

下載路徑：https://pan.baidu.com/s/17iHOIjt4XZbRAngGFf_GgA

6.啟動Hive：
　（1）啟動Hive之前需要先把Hadoop集群啟動起來。

（2）使用hadoop用戶

　　啟動命令：/usr/local/src/hive-1.2.1/bin/hive

　　出現(xiàn)如下表示啟動成功：
hive>
　　

7、驗證Hive運行正常：啟動Hive以后輸入下面的命令：

hive> show databases;
OK
default
test_db
Time taken: 0.567 seconds, Fetched: 2 row(s)

hive> use default;
OK
Time taken: 0.068 seconds

hive> show tables;
OK
Time taken: 0.086 seconds

8、 創(chuàng)建數(shù)據(jù)庫, 數(shù)據(jù)庫的數(shù)據(jù)文件被存放在HDFS的/user/hive/warehouse/test_db.db下面

hive> create database test_db;
OK
Time taken: 0.505 seconds

9、在test_db里創(chuàng)建表，表的數(shù)據(jù)文件被存放在HDFS的/user/hive/warehouse/test_db.db/t_test下面；
并且表的數(shù)據(jù)文件字段以“|”分割開；　　

use test_db;

create table flat1_test (mobile string,opr_type string,lastupdatetime string,monthly string,sp_code string,oper_code string,unknown string,subtime string)
row format delimited
fields terminated by '|';

10、上傳數(shù)據(jù)文件到hdfs指定目錄，目錄為hive數(shù)據(jù)庫表文件目錄
　　hadoop fs -put hivefile1.txt /user/hive/warehouse/test_db.db/flat1_test

11、使用sql查詢數(shù)據(jù)
hive> select * from flat1_test;

12、查詢Hive的元數(shù)據(jù)，進入mysql中查詢

mysql> show databases; +--------------------+ | Database | +--------------------+ | information_schema | | hive | | mysql | | performance_schema | | test | +--------------------+ 5 rows in set (0.00 sec)mysql> use hive; Reading table information for completion of table and column names You can turn off this feature to get a quicker startup with -ADatabase changed mysql> mysql> show tables; +---------------------------+ | Tables_in_hive | +---------------------------+ | BUCKETING_COLS | | CDS | | COLUMNS_V2 | | DATABASE_PARAMS | | DBS | | FUNCS | | FUNC_RU | | GLOBAL_PRIVS | | IDXS | | INDEX_PARAMS | | PARTITIONS | | PARTITION_KEYS | | PARTITION_KEY_VALS | | PARTITION_PARAMS | | PART_COL_PRIVS | | PART_COL_STATS | | PART_PRIVS | | ROLES | | SDS | | SD_PARAMS | | SEQUENCE_TABLE | | SERDES | | SERDE_PARAMS | | SKEWED_COL_NAMES | | SKEWED_COL_VALUE_LOC_MAP | | SKEWED_STRING_LIST | | SKEWED_STRING_LIST_VALUES | | SKEWED_VALUES | | SORT_COLS | | TABLE_PARAMS | | TAB_COL_STATS | | TBLS | | TBL_COL_PRIVS | | TBL_PRIVS | | VERSION | +---------------------------+ 35 rows in set (0.01 sec)mysql> select * from DBS; +-------+-----------------------+-----------------------------------------------------------+---------+------------+------------+ | DB_ID | DESC | DB_LOCATION_URI | NAME | OWNER_NAME | OWNER_TYPE | +-------+-----------------------+-----------------------------------------------------------+---------+------------+------------+ | 1 | Default Hive database | hdfs://XXXXXXXXXX:9000/user/hive/warehouse | default | public | ROLE | | 6 | NULL | hdfs://XXXXXXXXXX:9000/user/hive/warehouse/test_db.db | test_db | hadoop | USER | +-------+-----------------------+-----------------------------------------------------------+---------+------------+------------+ 2 rows in set (0.00 sec)mysql>

轉載于:https://blog.51cto.com/devops2016/2312670

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