9 16 hive基礎語法

hiveserver和beeline（hiveserver2）的區別：

hive：

連線方式

hive -h hostname -p port

載入檔案

庫級操作

表級操作

行級操作

關於各種建表語句

檔案employee.txt

michael|montreal,toronto|male,30|db:80|product:developerlead

will|montreal|male,35|perl:85|product:lead,test:lead
shelley|new york|female,27|python:80|test:lead,coe:architect
lucy|vancouver|female,57|sales:89,hr:94|sales:lead

michael|100|montreal,toronto|male,30|db:80|product:developerlead

will|101|montreal|male,35|perl:85|product:lead,test:lead
steven|102|new york|female,27|python:80|test:lead,coe:architect
lucy|103|vancouver|female,57|sales:89,hr:94|sales:lead
mike|104|montreal|male,35|perl:85|product:lead,test:lead
shelley|105|new york|female,27|python:80|test:lead,coe:architect
luly|106|vancouver|female,57|sales:89,hr:94|sales:lead
lily|107|montreal|male,35|perl:85|product:lead,test:lead
shell|108|new york|female,27|python:80|test:lead,coe:architect
mich|109|vancouver|female,57|sales:89,hr:94|sales:lead
dayong|110|montreal|male,35|perl:85|product:lead,test:lead
sara|111|new york|female,27|python:80|test:lead,coe:architect
roman|112|vancouver|female,57|sales:89,hr:94|sales:lead
christine|113|montreal|male,35|perl:85|product:lead,test:lead
eman|114|new york|female,27|python:80|test:lead,coe:architect
alex|115|vancouver|female,57|sales:89,hr:94|sales:lead
alan|116|montreal|male,35|perl:85|product:lead,test:lead
andy|117|new york|female,27|python:80|test:lead,coe:architect
ryan|118|vancouver|female,57|sales:89,hr:94|sales:lead
rome|119|montreal|male,35|perl:85|product:lead,test:lead
lym|120|new york|female,27|python:80|test:lead,coe:architect
linm|121|vancouver|female,57|sales:89,hr:94|sales:lead
dach|122|montreal|male,35|perl:85|product:lead,test:lead
ilon|123|new york|female,27|python:80|test:lead,coe:architect
elaine|124|vancouver|female,57|sales:89,hr:94|sales:lead

create database hivetest;

use hivetest;

create table employee(	#建立名為employee的表

name string,	#欄位名
address array,	#欄位型別為array
personalinfo array,
technol map,	#欄位型別為map
jobs map)
row format delimited	#對**的分割符進行格式化
fields terminated by '|'	#設定列的分割符
collection items terminated by ','	#設定array的分割符
map keys terminated by ':'	#設定map的分割符
lines terminated by '\n';	#設定行的分割符

create table employee_id(

name string,
id int,
address array,
info struct,	#欄位型別為struct
technol map,
jobs map)
row format delimited
fields terminated by '|'
collection items terminated by ','
map keys terminated by ':'
lines terminated by '\n';

create table employee_partition(

name string,
address array,
info struct,
technol map,
jobs map)
partitioned by (country string,add string)	#分割槽型別自定義
row format delimited
fields terminated by '|'
collection items terminated by ','
map keys terminated by ':'
lines terminated by '\n';

create external table emp_id(

name string,
id int,
address array,
info struct,
technol map,
jobs map)
row format delimited
fields terminated by '|'
collection items terminated by ','
map keys terminated by ':'
lines terminated by '\n'
stored as textfile	#指定要儲存在hdfs上的位置路徑要提前建立好
location '/usr/test/employee';

create external table emp_bucket(

name string,
id int,
address array,
info struct,
technol map,
jobs map)
clustered by(id) into 3 buckets
row format delimited
fields terminated by '|'
collection items terminated by ','
map keys terminated by ':'
lines terminated by '\n'
stored as textfile
location '/usr/test/bucket';
set hive.enfore.bucketing=true;	#是否進行分桶

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