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对比

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整合

需求一

将hive分析结果的数据，保存到HBase当中

步骤

一、将HBase的五个jar包拷贝到Hive的lib目录下

HBase的jar包在/export/servers/hbase-1.2.0-cdh5.14.0/lib，我们要用的五个jar包

hbase-client-1.2.0-cdh5.14.0.jar

hbase-hadoop2-compat-1.2.0-cdh5.14.0.jar

hbase-hadoop-compat-1.2.0-cdh5.14.0.jar

hbase-it-1.2.0-cdh5.14.0.jar

hbase-server-1.2.0-cdh5.14.0.jar

可以选择创建软连接，也可以直接拷贝，我这里选择的是软连接

ln -s /export/servers/hbase-1.2.0-cdh5.14.0/lib/hbase-client-1.2.0-cdh5.14.0.jar              /export/servers/hive-1.1.0-cdh5.14.0/lib/hbase-client-1.2.0-cdh5.14.0.jar

ln -s /export/servers/hbase-1.2.0-cdh5.14.0/lib/hbase-hadoop2-compat-1.2.0-cdh5.14.0.jar      /export/servers/hive-1.1.0-cdh5.14.0/lib/hbase-hadoop2-compat-1.2.0-cdh5.14.0.jar

ln -s /export/servers/hbase-1.2.0-cdh5.14.0/lib/hbase-hadoop-compat-1.2.0-cdh5.14.0.jar       /export/servers/hive-1.1.0-cdh5.14.0/lib/hbase-hadoop-compat-1.2.0-cdh5.14.0.jar

ln -s /export/servers/hbase-1.2.0-cdh5.14.0/lib/hbase-it-1.2.0-cdh5.14.0.jar     /export/servers/hive-1.1.0-cdh5.14.0/lib/hbase-it-1.2.0-cdh5.14.0.jar

ln -s /export/servers/hbase-1.2.0-cdh5.14.0/lib/hbase-server-1.2.0-cdh5.14.0.jar          /export/servers/hive-1.1.0-cdh5.14.0/lib/hbase-server-1.2.0-cdh5.14.0.jar

二、修改hive的配置文件

把第三台服务器上的hive配置文件hive-site.xml和hive-env.sh

cd /export/servers/hive-1.1.0-cdh5.14.0/conf

vim hive-site.xml

<property>

	<name>hive.zookeeper.quorum</name>

	<value>node01,node02,node03</value>

</property>

<property>

	<name>hbase.zookeeper.quorum</name>

	<value>node01,node02,node03</value>

</property>

cd /export/servers/hive-1.1.0-cdh5.14.0/conf

vim hive-env.sh

export HADOOP_HOME=/export/servers/hadoop-2.6.0-cdh5.14.0

export HBASE_HOME=/export/servers/hbase-1.2.0-cdh5.14.0

export HIVE_CONF_DIR=/export/servers/hive-1.1.0-cdh5.14.0/conf

三、在Hive中建表

进入hive客户端

cd /export/servers/hive-1.1.0-cdh5.14.0/

bin/hive

创建hive数据库与hive对应的数据库表

CREATE DATABASE course;

USE course;

CREATE external TABLE IF NOT EXISTS course.score(

id INT,cname string,score INT)

ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'

STORED AS textfile;

在/export目录下创建需要加载的数据

cd /export/

vim hive-hbase.txt

中间要用 \t 分割

1	zhangsan	80

2	lisi	60

3	wangwu	30

4	zhaoliu	70

加载数据

hive (course)> load data local inpath '/export/hive-hbase.txt' into table score;

hive (course)> select * from score;

四、创建hive管理表与HBase映射

hive当中创建内部表

CREATE TABLE course.hbase_score(

id INT,cname STRING,score INT)

STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler'

WITH serdeproperties("hbase.columns.mapping" = "cf:name,cf:score")

tblproperties("hbase.table.name" = "hbase_score");

向内部表中插入数据

INSERT OVERWRITE TABLE course.hbase_score

SELECT id,cname,score FROM course.score;

五、在HBase中查看hbase_score

需求二

创建hive外部表，映射HBase当中已有的表模型，直接通过

步骤

一、在HBase中创建表并插入数据

create 'hbase_hive_score',{ NAME =>'cf'}

put 'hbase_hive_score','1','cf:name','zhangsan'

put 'hbase_hive_score','1','cf:score', '95'

put 'hbase_hive_score','2','cf:name','lisi'

put 'hbase_hive_score','2','cf:score', '96'

put 'hbase_hive_score','3','cf:name','wangwu'

put 'hbase_hive_score','3','cf:score', '97'

二、建立hive外部表，映射HBase中的表及字段

CREATE external TABLE course.hbase2hive(

id int, name string, score int)

STORED BY'org.apache.hadoop.hive.hbase.HBaseStorageHandler'

WITH SERDEPROPERTIES ("hbase.columns.mapping" = ":key,cf:name,cf:score")

TBLPROPERTIES("hbase.table.name" ="hbase_hive_score");