通过 hadoop 上的 hive 完成 WordCount
启动 hadoop
- cd /usr/local/hadoop
- ./sbin/start-dfs.sh
- cd /usr/local/hive/lib
- service mysql start
- start-all.sh
Hdfs 上创建文件夹
- hdfs dfs -mkdir test
- hdfs dfs -ls /user/hadoop
上传文件至 hdfs
- hdfs dfs -put ./test.txt test
- hdfs dfs -ls /user/hadoop/test
启动 Hive
创建原始文档表
- hive
- create table docs(line string)
导入文件内容到表 docs 并查看
- load data inpath '/user/hadoop/tese1/test.txt' overwrite into table docs
- select * from docs
用 HQL 进行词频统计, 结果放在表 word_count 里
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;
查看统计结果
- show tables;
- select * from word_count;
来源: http://www.bubuko.com/infodetail-2603979.html