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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(jí),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(chēng):mv apache-hive-1.2.1-bin hive-1.2.1
3.安裝MySql:
MySQL用于存儲(chǔ)Hive的元數(shù)據(jù),(安裝教程見(jiàn)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(chǔ))存儲(chǔ)方式
4.1. vi /home/hadoop/hive/hive-1.2.1/conf/hive-site.xml(存儲(chǔ)方式:內(nèi)嵌Derby方式、本地mysql、遠(yuǎn)端mysql)
4.2 粘貼如下內(nèi)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(qū)動(dòng)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(dòng)Hive:
?。?)啟動(dòng)Hive之前需要先把Hadoop集群?jiǎn)?dòng)起來(lái)。
(2)使用hadoop用戶
啟動(dòng)命令:/usr/local/src/hive-1.2.1/bin/hive
出現(xiàn)如下表示啟動(dòng)成功:
hive>
7、驗(yàn)證Hive運(yùn)行正常:?jiǎn)?dòng)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(kù), 數(shù)據(jù)庫(kù)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(kāi);
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(kù)表文件目錄
hadoop fs -put hivefile1.txt /user/hive/warehouse/test_db.db/flat1_test
11、使用sql查詢(xún)數(shù)據(jù)
hive> select * from flat1_test;
12、查詢(xún)Hive的元數(shù)據(jù),進(jìn)入mysql中查詢(xún)
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 -A
Database 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>
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