显示数据库
show databases;
后面要带上 ;
显示表
show tables;
创建表
create table t_user (id string,username string,password string);
注意:
-
user不能作为表名 -
字段类型:类似java的类型
hadoop web管理页面
访问:http://localhost:9870
默认存储路径:/user/hive/warehouse/表名
insert
insert into t_user(id,username,password) values (1,'lilei','123456');
执行结果:
Query ID = root_20210310114036_ff58bed7-aefd-4513-a3c5-799df25a29b5
Total jobs = 3
Launching Job 1 out of 3
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapreduce.job.reduces=<number>
Starting Job = job_1615348585747_0001, Tracking URL = http://localhost:8088/proxy/application_1615348585747_0001/
Kill Command = /devtools/hadoop-3.0.3/bin/mapred job -kill job_1615348585747_0001
Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 1
2021-03-10 11:56:43,723 Stage-1 map = 0%, reduce = 0%
2021-03-10 11:56:51,091 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 1.81 sec
2021-03-10 11:56:57,310 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 2.84 sec
MapReduce Total cumulative CPU time: 2 seconds 840 msec
Ended Job = job_1615348585747_0001
Stage-4 is selected by condition resolver.
Stage-3 is filtered out by condition resolver.
Stage-5 is filtered out by condition resolver.
Moving data to directory hdfs://0.0.0.0:9000/user/hive/warehouse/t_user/.hive-staging_hive_2021-03-10_11-40-36_802_7176574248944213326-1/-ext-10000
Loading data to table default.t_user
MapReduce Jobs Launched:
Stage-Stage-1: Map: 1 Reduce: 1 Cumulative CPU: 2.84 sec HDFS Read: 16121 HDFS Write: 286 SUCCESS
Total MapReduce CPU Time Spent: 2 seconds 840 msec
OK
Time taken: 983.177 seconds
hadoop web管理页面
访问:http://localhost:9870
可以下载该文件,其内容就是 插入的数据
select 查询
select * from t_user;
本文介绍Hive SQL的基本操作,包括显示数据库和表、创建表、插入数据及查询等核心功能。通过实例演示如何使用Hive进行数据管理。


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