标签：create into wordcount split star cal group python 创建文件
通过hadoop上的hive完成WordCount
启动hadoop
cd /home/local/hadoop ./sbin/start-dfs.sh cd /home/local/hive/lib service mysql start start-all.sh
Hdfs上创建文件夹
hdfs dfs -mkdir demo hdfs dfs -ls /home/hadoop
上传文件至hdfs
hdfs dfs -put ./zxc.txt demo hdfs dfs -ls /home/hadoop/demo
启动Hive
hive
创建原始文档表
create table docs(line string)
导入文件内容到表docs并查看
load data inpath ‘/home/hadoop/demo/zxc.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;
标签：create into wordcount split star cal group python 创建文件
原文地址：https://www.cnblogs.com/onlythisone/p/9048146.html
