十一、hadoop应用

news2024/12/24 1:03:55

1.上传数据集

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2.启动Hadoop

3. 创建文件夹并上传文件

4.查看数据集

5.在hive中创建数据库

启动数据库

启动hive

创建数据库

CREATE EXTERNAL TABLE IF NOT EXISTS dblab.bigdata_user (
    ip STRING,
    event_time STRING,
    url STRING
)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ','
STORED AS TEXTFILE
LOCATION '/bigdata/dataset';

查看表的属性

查看表的结构

查看表的前10条数据

6.数据分析

简单查询

查询前20条ip和event_time

统计表中的数据

7.数据迁移

hive创建临时表

CREATE EXTERNAL TABLE dblab.user_action(ip STRING,event_time STRING,url STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS TEXTFILE;

查看创建的表

hadoop dfs -ls /user/hive/warehouse/dblab.db/user_action

导入数据

查看数据

登录MySQL创建数据表

CREATE TABLE user_action (ip VARCHAR(50), even_time VARCHAR(50),url VARCHAR(100)) ENGINE=InnoDB DEFAULT CHARSET=utf8;

sqoop迁移数据

sqoop export --connect jdbc:mysql://localhost:3306/dblab --username root -P --table user_action --export-dir /user/hive/warehouse/dblab.db/user_action --input-fields-terminated-by ','