hive(2)

发布时间:2023年12月20日

-- 复习
CREATE TABLE IF NOT EXISTS dept_partition
(
? ? deptno int,
? ? dname string,
? ? loc string
)
partitioned BY(month string)
row FORMAT delimited
fields terminated BY '\t'
;

DESC dept_partition;

show partitions dept_partition;

ALTER TABLE dept_partition ADD partition(month='201904');
ALTER TABLE dept_partition ADD partition(month='201905') partition(month='201906');

ALTER TABLE dept_partition drop partition(month='201904');
ALTER TABLE dept_partition drop partition(month='201905'),partition(month='201906');

LOAD data local inpath '/root/data/dept.txt' overwrite INTO TABLE `dept_partition`?
partition(`month`='201904',`month`='201905');

-- 静态分区之二级分区
CREATE TABLE IF NOT EXISTS dept_partition2
(
? ? deptno int,
? ? dname string,
? ? loc string
)
partitioned BY(month int,date int)
row FORMAT delimited
fields terminated BY '\t'
;

ALTER TABLE dept_partition2 ADD partition(month=201904,date=01);
ALTER TABLE dept_partition2 ADD partition(month=201904,date=02) partition(month=201904,date=03);

show partitions dept_partition2;

ALTER TABLE dept_partition2 drop partition(month=201904,date=01);
ALTER TABLE dept_partition2 drop partition(month=201904,date=02),partition(month=201904,date=03);

LOAD data local inpath '/root/data/dept.txt' overwrite INTO TABLE `dept_partition2` partition(month=201904,date=01);

SELECT * FROM dept_partition2;

-- 动态分区
-- 准备数据student_male_female.txt
001,tom,22,male
002,jack,23,male
003,rose,20,female
004,mike,25,male
005,lucy,21,female
006,andy,20,female
-- 建表
DROP TABLE IF EXISTS student_info;
CREATE TEMPORARY TABLE IF NOT EXISTS student_info
(
? ? id string,
? ? name string,
? ? age int,
? ? sex string
)
row FORMAT delimited
fields terminated BY ','
;
-- 加载数据
LOAD data local inpath '/root/data/student_male_female.txt' overwrite INTO TABLE `student_info`;
-- 查看数据
SELECT * FROM student_info;
-- 建分区表
DROP TABLE IF EXISTS student_partition;
CREATE TABLE IF NOT EXISTS student_partition
(
? ? id string,
? ? name string,
? ? age int
)
partitioned BY (sex string);
-- 检查是否已开启动态分区模式【默认为true】
set hive.exec.dynamic.partition=true;
-- 关闭严格模式
set hive.exec.dynamic.partition.mode=nonstrict;
-- 插入数据【注意:所有字段顺序对应,分区字段必须放在最后】
INSERT INTO TABLE `student_partition` partition(sex)
SELECT id,name,age,sex FROM student_info;
-- 查看数据
SELECT * FROM `student_partition`;
show partitions `student_partition`;

-- 示例2
-- 准备数据student_partition2.txt
01,tom,22,2019-09-08
02,jack,23,2020-08-09
03,rose,20,2019-09-08
04,smith,21,2020-07-09
05,john,22,2019-09-08
-- 建临时表
CREATE TEMPORARY TABLE IF NOT EXISTS student_info2
(
? ? id string,
? ? name string,
? ? age int,
? ? start_date date
)
row FORMAT delimited
fields terminated BY ','
;
-- 加载数据
LOAD data local inpath '/root/data/student_partition2.txt' overwrite INTO TABLE `student_info2`;
-- 查看数据
SELECT * FROM student_info2;
-- 建分区表
CREATE TABLE IF NOT EXISTS student_partition2
(
? ? id string,
? ? name string,
? ? age int,
? ? start_date date
)
partitioned BY(year string,month string);
-- 查看数据
DESC student_partition2;
-- 插入数据
INSERT INTO TABLE student_partition2 partition(year,month)
SELECT id,name,age,start_date,YEAR(start_date) year,MONTH(start_date) month
FROM student_info2;

-- 分桶表
-- 准备数据bucket.txt
1,aa
2,bb
3,cc
4,dd
5,ee
6,ff
7,gg
8,hh
9,ii
10,jj
11,kk
12,ll
13,mm
14,nn
15,oo
16,pp
-- 建表
CREATE TABLE IF NOT EXISTS bucket_table
(
? ? id int,
? ? name string
)
row FORMAT delimited
fields terminated BY ','
;
-- 加载数据
LOAD data local inpath '/root/data/bucket.txt' overwrite INTO TABLE `bucket_table`;
-- 查看数据
SELECT * FROM bucket_table;
-- 设置分桶功能开关【默认值false】
SET hive.enforce.bucketing=true;
-- 创建分桶表
CREATE TABLE IF NOT EXISTS bucket_table2
(
? ? id int,
? ? name string
)
CLUSTERED BY (id)
INTO 4 buckets
row FORMAT delimited
fields terminated BY ',';
-- 插入数据
INSERT INTO TABLE bucket_table2
SELECT id,name FROM bucket_table;
-- 查看数据
SELECT id,name FROM bucket_table2;


-- 侧视图
-- 建表
CREATE TABLE employee AS?
select * from managed_employee;
-- 查看数据
select * from employee;

SELECT work_place FROM employee;
+-------------------------+--+
| ? ? ? work_place ? ? ? ?|
+-------------------------+--+
| ["Montreal","Toronto"] ?|
| ["Montreal"] ? ? ? ? ? ?|
| ["New York"] ? ? ? ? ? ?|
| ["Vancouver"] ? ? ? ? ? |
+-------------------------+--+
SELECT explode(work_place) FROM employee;
+------------+--+
| ? ?col ? ? |
+------------+--+
| Montreal ? |
| Toronto ? ?|
| Montreal ? |
| New York ? |
| Vancouver ?|
+------------+--+
SELECT name,work_place FROM employee;
+----------+-------------------------+--+
| ? name ? | ? ? ? work_place ? ? ? ?|
+----------+-------------------------+--+
| Michael ?| ["Montreal","Toronto"] ?|
| Will ? ? | ["Montreal"] ? ? ? ? ? ?|
| Shelley ?| ["New York"] ? ? ? ? ? ?|
| Lucy ? ? | ["Vancouver"] ? ? ? ? ? |
+----------+-------------------------+--+
SELECT name,explode(work_place) FROM employee;
-- 报错
FAILED: SemanticException [Error 10081]: UDTF's are not supported outside the SELECT clause, nor nested
?in expressionsError: Error while compiling statement: FAILED: SemanticException [Error 10081]: UDTF's are not support
ed outside the SELECT clause, nor nested in expressions (state=42000,code=10081)
-- 修正
SELECT name,wp
FROM employee lateral VIEW explode(work_place) t1 AS wp;
+----------+------------+--+
| ? name ? | ? ? wp ? ? |
+----------+------------+--+
| Michael ?| Montreal ? |
| Michael ?| Toronto ? ?|
| Will ? ? | Montreal ? |
| Shelley ?| New York ? |
| Lucy ? ? | Vancouver ?|
+----------+------------+--+

SELECT skills_score FROM employee;
+-----------------------+--+
| ? ? skills_score ? ? ?|
+-----------------------+--+
| {"DB":80} ? ? ? ? ? ? |
| {"Perl":85} ? ? ? ? ? |
| {"Python":80} ? ? ? ? |
| {"Sales":89,"HR":94} ?|
+-----------------------+--+
SELECT explode(skills_score) FROM employee;
+---------+--------+--+
| ? key ? | value ?|
+---------+--------+--+
| DB ? ? ?| 80 ? ? |
| Perl ? ?| 85 ? ? |
| Python ?| 80 ? ? |
| Sales ? | 89 ? ? |
| HR ? ? ?| 94 ? ? |
+---------+--------+--+
SELECT name,skills_score FROM employee;
+----------+-----------------------+--+
| ? name ? | ? ? skills_score ? ? ?|
+----------+-----------------------+--+
| Michael ?| {"DB":80} ? ? ? ? ? ? |
| Will ? ? | {"Perl":85} ? ? ? ? ? |
| Shelley ?| {"Python":80} ? ? ? ? |
| Lucy ? ? | {"Sales":89,"HR":94} ?|
+----------+-----------------------+--+
SELECT name,explode(skills_score) FROM employee;
-- 报错
FAILED: SemanticException [Error 10081]: UDTF's are not supported outside the SELECT clause, nor nested
?in expressionsError: Error while compiling statement: FAILED: SemanticException [Error 10081]: UDTF's are not support
ed outside the SELECT clause, nor nested in expressions (state=42000,code=10081)
-- 修正
SELECT name,skill,score
FROM employee lateral VIEW explode(skills_score) t1 AS skill,score;
+----------+---------+--------+--+
| ? name ? | ?skill ?| score ?|
+----------+---------+--------+--+
| Michael ?| DB ? ? ?| 80 ? ? |
| Will ? ? | Perl ? ?| 85 ? ? |
| Shelley ?| Python ?| 80 ? ? |
| Lucy ? ? | Sales ? | 89 ? ? |
| Lucy ? ? | HR ? ? ?| 94 ? ? |
+----------+---------+--------+--+

SELECT sex_age FROM employee;
+----------------------------+--+
| ? ? ? ? ?sex_age ? ? ? ? ? |
+----------------------------+--+
| {"sex":"Male","age":30} ? ?|
| {"sex":"Male","age":35} ? ?|
| {"sex":"Female","age":27} ?|
| {"sex":"Female","age":57} ?|
+----------------------------+--+
SELECT explode(sex_age) FROM employee;
-- 报错
FAILED: UDFArgumentException explode() takes an array or a map as a parameter
Error: Error while compiling statement: FAILED: UDFArgumentException explode() takes an array or a map?
as a parameter (state=42000,code=40000)
-- 修正
SELECT array(sex_age) FROM employee;
+------------------------------+--+
| ? ? ? ? ? ? _c0 ? ? ? ? ? ? ?|
+------------------------------+--+
| [{"sex":"Male","age":30}] ? ?|
| [{"sex":"Male","age":35}] ? ?|
| [{"sex":"Female","age":27}] ?|
| [{"sex":"Female","age":57}] ?|
+------------------------------+--+
SELECT inline(array(sex_age)) FROM employee;
+---------+------+--+
| ? sex ? | age ?|
+---------+------+--+
| Male ? ?| 30 ? |
| Male ? ?| 35 ? |
| Female ?| 27 ? |
| Female ?| 57 ? |
+---------+------+--+
SELECT name,inline(array(sex_age)) FROM employee;
-- 报错
FAILED: SemanticException [Error 10081]: UDTF's are not supported outside the SELECT clause, nor nested
?in expressionsError: Error while compiling statement: FAILED: SemanticException [Error 10081]: UDTF's are not support
ed outside the SELECT clause, nor nested in expressions (state=42000,code=10081)
-- 修正
SELECT name,sex,age
FROM employee lateral VIEW inline(array(sex_age)) t1 AS sex,age;
+----------+---------+------+--+
| ? name ? | ? sex ? | age ?|
+----------+---------+------+--+
| Michael ?| Male ? ?| 30 ? |
| Will ? ? | Male ? ?| 35 ? |
| Shelley ?| Female ?| 27 ? |
| Lucy ? ? | Female ?| 57 ? |
+----------+---------+------+--+

SELECT * FROM employee;
+----------------+-------------------------+----------------------------+------------------------+-----
---------------------------------------------+--+| employee.name ?| ? employee.work_place ? | ? ? ?employee.sex_age ? ? ?| employee.skills_score ?| ? ??
? ? ? ? ? employee.dept_title ? ? ? ? ? ? ? ?|+----------------+-------------------------+----------------------------+------------------------+-----
---------------------------------------------+--+| Michael ? ? ? ?| ["Montreal","Toronto"] ?| {"sex":"Male","age":30} ? ?| {"DB":80} ? ? ? ? ? ? ?| {"Pr
oduct":"Developer","Administration":"Lead"} ?|| Will ? ? ? ? ? | ["Montreal"] ? ? ? ? ? ?| {"sex":"Male","age":35} ? ?| {"Perl":85} ? ? ? ? ? ?| {"Pr
oduct":"Lead","Test":"Lead"} ? ? ? ? ? ? ? ? || Shelley ? ? ? ?| ["New York"] ? ? ? ? ? ?| {"sex":"Female","age":27} ?| {"Python":80} ? ? ? ? ?| {"Te
st":"Lead","COE":"Architect"} ? ? ? ? ? ? ? ?|| Lucy ? ? ? ? ? | ["Vancouver"] ? ? ? ? ? | {"sex":"Female","age":57} ?| {"Sales":89,"HR":94} ? | {"Sa
les":"Lead"} ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? |+----------------+-------------------------+----------------------------+------------------------+-----
---------------------------------------------+--+
SELECT name,wp,sex,age,skill,score,dept,title
FROM employee
lateral VIEW explode(work_place) t AS wp
lateral VIEW inline(array(sex_age)) t AS sex,age
lateral VIEW explode(skills_score) t AS skill,score
lateral VIEW explode(dept_title) t AS dept,title;
+----------+------------+---------+------+---------+--------+-----------------+------------+--+
| ? name ? | ? ? wp ? ? | ? sex ? | age ?| ?skill ?| score ?| ? ? ?dept ? ? ? | ? title ? ?|
+----------+------------+---------+------+---------+--------+-----------------+------------+--+
| Michael ?| Montreal ? | Male ? ?| 30 ? | DB ? ? ?| 80 ? ? | Product ? ? ? ? | Developer ?|
| Michael ?| Montreal ? | Male ? ?| 30 ? | DB ? ? ?| 80 ? ? | Administration ?| Lead ? ? ? |
| Michael ?| Toronto ? ?| Male ? ?| 30 ? | DB ? ? ?| 80 ? ? | Product ? ? ? ? | Developer ?|
| Michael ?| Toronto ? ?| Male ? ?| 30 ? | DB ? ? ?| 80 ? ? | Administration ?| Lead ? ? ? |
| Will ? ? | Montreal ? | Male ? ?| 35 ? | Perl ? ?| 85 ? ? | Product ? ? ? ? | Lead ? ? ? |
| Will ? ? | Montreal ? | Male ? ?| 35 ? | Perl ? ?| 85 ? ? | Test ? ? ? ? ? ?| Lead ? ? ? |
| Shelley ?| New York ? | Female ?| 27 ? | Python ?| 80 ? ? | Test ? ? ? ? ? ?| Lead ? ? ? |
| Shelley ?| New York ? | Female ?| 27 ? | Python ?| 80 ? ? | COE ? ? ? ? ? ? | Architect ?|
| Lucy ? ? | Vancouver ?| Female ?| 57 ? | Sales ? | 89 ? ? | Sales ? ? ? ? ? | Lead ? ? ? |
| Lucy ? ? | Vancouver ?| Female ?| 57 ? | HR ? ? ?| 94 ? ? | Sales ? ? ? ? ? | Lead ? ? ? |
+----------+------------+---------+------+---------+--------+-----------------+------------+--+

SELECT split('aa,bb,cc',',');
+-------------------+--+
| ? ? ? ?_c0 ? ? ? ?|
+-------------------+--+
| ["aa","bb","cc"] ?|
+-------------------+--+
SELECT explode(split('aa,bb,cc',','));
+------+--+
| col ?|
+------+--+
| aa ? |
| bb ? |
| cc ? |
+------+--+
SELECT explode(split(null,','));
+------+--+
| col ?|
+------+--+
+------+--+
SELECT name,wp
FROM employee
lateral VIEW explode(split(null,',')) t AS wp;
+-------+-----+--+
| name ?| wp ?|
+-------+-----+--+
+-------+-----+--+
SELECT name,wp
FROM employee
lateral VIEW outer explode(split(null,',')) t AS wp;
+----------+-------+--+
| ? name ? | ?wp ? |
+----------+-------+--+
| Michael ?| NULL ?|
| Will ? ? | NULL ?|
| Shelley ?| NULL ?|
| Lucy ? ? | NULL ?|
+----------+-------+--+
-- 重点:
建库
建表(内,外)
加载数据
(1)load data ...?
(2)INSERT INTO TABLE ...
分区(静,动)
侧视图(数组,映射,结构)
?

文章来源:https://blog.csdn.net/xinxinyydss/article/details/135111846
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