hive基本操做與應用

經過hadoop上的hive完成WordCountmysql

啓動hadoopsql

ssh localhost
cd /usr/local/hadoop
./sbin/start-dfs.sh
cd /usr/local/hive/lib
service mysql start
start-all.sh

 

Hdfs上建立文件夾ssh

hdfs dfs -mkdir test1
hdfs dfs -ls /user/hadoop

 

 

上傳文件至hdfsoop

hdfs dfs -put ./123.txt test1
hdfs dfs -ls /user/hadoop/test1

 

啓動Hivespa

hive

 

建立原始文檔表code

create table docs(line string)

 

導入文件內容到表docs並查看blog

load data inpath '/user/hadoop/tese1/123.txt' overwrite into table docs
select * from docs

 

用HQL進行詞頻統計,結果放在表word_count裏hadoop

create table word_count as select word,count(1) as count from (select explode(split(line," ")) as word from docs) word group by word order by word;

 

查看統計結果文檔

 

show tables;
select * from word_count;
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