Hive

补：第九次作业:

Sqoop安装与使用

使用sqoop进行将Hive 词频统计的结果数据传输到Mysql中。

mysql准备接受数据的数据库与表

 

 

 

 hive准备待传输的数电子书

 

 

 

wzk_dosc

 

 

 

sqoop进行数据传输

 

 

 

mysql查看传输结果

一、hive用本地文件进行词频统计

1.准备本地txt文件

mkdir wc
cd wc
echo "hadoop hbase" > f1.txt
echo "hadoop hive" > f2.txt

2.启动hadoop，启动hive

start-all.sh
hive

3.创建数据库，创建文本表

use hive;
create table if not exists wctext(line string); 
show tables;

4.映射本地文件的数据到文本表中

load data local inpath '/home/hadoop/wc/f1.txt' into table wctext;
load data local inpath '/home/hadoop/wc/f2.txt' into table wctext;
select * from wctext;

5.hql语句进行词频统计交将结果保存到结果表中

SELECT word, count(1) AS count FROM  (SELECT explode(split(line, ‘ ’)) AS word FROM wctext) w GROUP BY word ORDER BY word;
create table wc as SELECT word, count(1) AS count FROM  (SELECT explode(split(line, ' ')) AS word FROM wctext) w GROUP BY word ORDER BY word;

6.查看统计结果

select * from wc;

二、hive用HDFS上的文件进行词频统计

1.准备电子书或其它大的文本文件

2.将文本文件上传到HDFS上

hdfs dfs -put ~/wc/f3.txt /input

3.创建文本表

create table if not exists docs(line string);
show tables;

4.映射HDFS中的文件数据到文本表中

load data inpath '/input/f3.txt' into table docs;

5.hql语句进行词频统计交将结果保存到结果表中

create table wctest as SELECT word, count(1) AS count FROM  (SELECT explode(split(line, ' ')) AS word FROM docs) w GROUP BY word ORDER BY word;
SELECT word, count(1) AS count FROM  (SELECT explode(split(line, ‘ ’)) AS word FROM docs) w GROUP BY word ORDER BY word;

6.查看统计结果

select * from wctest;