图书馆数据仓库
目次1.数据仓库的数据来源为业务数据库（mysql）
初始化脚本
init_book_result.sql
2.通过sqoop将mysql中的业务数据导入到大数据平台（hive）
导入mysql数据到hive中
3.通过hive举行数据计算和数据分析 形成数据报表
4.再通过sqoop将数据报表导出到mysql
5.使用FineReport制作数据报表
1.数据仓库的数据来源为业务数据库（mysql）
包含 图书表 t_book_info,
借书表 t_borrow_info,
用户表 t_user_info 38条数据
图书类别表 dim_books_type 5条
初始化脚本
init_mysql.sql
-- 设置sql_mode
set sql_mode = 'NO_ENGINE_SUBSTITUTION,STRICT_TRANS_TABLES';
-- 创建数据库library
create database library;
-- 切换数据库
use library;
-- 创建用户信息表
CREATE TABLE t_user_info(
user_id varchar(100) not null,
user_name varchar(100) not null,
sex varchar(10)not null,
age int not null
)DEFAULT CHARSET='utf8';
-- 创建图书表
CREATE TABLE t_book_info(
book_id varchar(100) not null,
book_name varchar(100) not null,
type_id varchar(100) not null
)DEFAULT CHARSET='utf8';
-- 创建图书类别表
CREATE TABLE dim_books_type(
type_id varchar(100) not null,
type_namevarchar(100) not null
)DEFAULT CHARSET='utf8';
-- 创建借书表
CREATE TABLE t_borrow_order(
user_id varchar(100) not null,
book_id varchar(100) not null,
create_time varchar(100) not null
)DEFAULT CHARSET='utf8';
-- 用户信息表插入数据
insert into t_user_info values ('114', '王小名', '男', 22);
insert into t_user_info values ('115', '张美丽', '女', 27);
insert into t_user_info values ('116', '李华', '男', 30);
insert into t_user_info values ('117', '陈晓红', '女', 35);
insert into t_user_info values ('118', '赵伟', '男', 24);
insert into t_user_info values ('119', '周小燕', '女', 29);
insert into t_user_info values ('120', '吴强', '男', 33);
insert into t_user_info values ('121', '郑丽', '女', 26);
insert into t_user_info values ('122', '王刚', '男', 28);
insert into t_user_info values ('123', '黄芳', '女', 31);
insert into t_user_info values ('124', '刘涛', '男', 36);
insert into t_user_info values ('125', '杨静', '女', 25);
insert into t_user_info values ('126', '张杰', '男', 32);
insert into t_user_info values ('127', '陈莉', '女', 23);
insert into t_user_info values ('128', '赵勇', '男', 38);
insert into t_user_info values ('129', '周敏', '女', 30);
insert into t_user_info values ('130', '吴浩', '男', 29);
insert into t_user_info values ('131', '郑薇', '女', 34);
insert into t_user_info values ('132', '王林', '男', 27);
insert into t_user_info values ('133', '黄梅', '女', 26);
insert into t_user_info values ('134', '刘军', '男', 37);
insert into t_user_info values ('135', '杨慧', '女', 25);
insert into t_user_info values ('136', '张明', '男', 33);
insert into t_user_info values ('137', '陈霞', '女', 31);
insert into t_user_info values ('138', '赵海', '男', 28);
insert into t_user_info values ('139', '周兰', '女', 36);
insert into t_user_info values ('140', '吴飞', '男', 24);
insert into t_user_info values ('141', '郑敏', '女', 27);
insert into t_user_info values ('142', '王磊', '男', 35);
insert into t_user_info values ('143', '黄蓉', '女', 30);
insert into t_user_info values ('144', '刘丽', '女', 26);
insert into t_user_info values ('145', '杨勇', '男', 32);
insert into t_user_info values ('146', '张华', '男', 29);
insert into t_user_info values ('147', '陈敏', '女', 34);
insert into t_user_info values ('148', '赵丽', '女', 31);
insert into t_user_info values ('149', '周刚', '男', 25);
insert into t_user_info values ('150', '吴丽', '女', 37);
insert into t_user_info values ('151', '郑强', '男', 28);
insert into t_user_info values ('152', '王芳', '女', 33);
insert into t_user_info values ('153', '黄伟', '男', 27);
insert into t_user_info values ('154', '刘静', '女', 36);
insert into t_user_info values ('155', '杨华', '男', 24);
insert into t_user_info values ('156', '张敏', '女', 31);
insert into t_user_info values ('157', '陈军', '男', 30);
insert into t_user_info values ('158', '赵敏', '女', 26);
insert into t_user_info values ('159', '周强', '男', 35);
insert into t_user_info values ('160', '吴红', '女', 32);
insert into t_user_info values ('161', '郑丽', '女', 29);
insert into t_user_info values ('162', '王伟', '男', 34);
insert into t_user_info values ('163', '黄静', '女', 31);
insert into t_user_info values ('164', '刘涛', '男', 25);
insert into t_user_info values ('165', '杨敏', '女', 37);
insert into t_user_info values ('166', '张勇', '男', 28);
insert into t_user_info values ('167', '陈芳', '女', 33);
insert into t_user_info values ('168', '赵军', '男', 27);
insert into t_user_info values ('169', '周丽', '女', 36);
insert into t_user_info values ('170', '吴华', '男', 24);
commit;
-- 图书表插入数据
-- Book Type: 散文随笔 (a)
insert into t_book_info values ('a001', '珠江潮汐美', 'a');
insert into t_book_info values ('a002', '晨曦的低语', 'a');
insert into t_book_info values ('a003', '山间小路', 'a');
insert into t_book_info values ('a004', '秋叶之歌', 'a');
insert into t_book_info values ('a005', '夜色中的琴声', 'a');
insert into t_book_info values ('a006', '城市边缘的诗人', 'a');
insert into t_book_info values ('a007', '冬日里的暖阳', 'a');
insert into t_book_info values ('a008', '海边的沉思', 'a');
-- book type: 世界名著 (b)
insert into t_book_info values ('b001', '悲惨世界', 'b');
insert into t_book_info values ('b002', '百年孤独', 'b');
insert into t_book_info values ('b003', '双城记', 'b');
insert into t_book_info values ('b004', '战争与和平', 'b');
insert into t_book_info values ('b005', '简爱', 'b');
insert into t_book_info values ('b006', '飘', 'b');
insert into t_book_info values ('b007', '堂吉诃德', 'b');
insert into t_book_info values ('b008', '呼啸山庄', 'b');
-- book type: 少儿童书 (c)
insert into t_book_info values ('c001', '小王子的星球', 'c');
insert into t_book_info values ('c002', '魔法森林的秘密', 'c');
insert into t_book_info values ('c003', '海底两万里', 'c');
insert into t_book_info values ('c004', '勇敢的小火车头', 'c');
insert into t_book_info values ('c005', '神奇的种子', 'c');
insert into t_book_info values ('c006', '月亮上的兔子', 'c');
insert into t_book_info values ('c007', '彩虹桥下的秘密', 'c');
insert into t_book_info values ('c008', '会说话的石头', 'c');
-- book type: 历史小说 (d)
insert into t_book_info values ('d001', '三国演义', 'd');
insert into t_book_info values ('d002', '水浒传', 'd');
insert into t_book_info values ('d003', '大明王朝', 'd');
insert into t_book_info values ('d004', '清朝末年', 'd');
insert into t_book_info values ('d005', '大唐盛世', 'd');
insert into t_book_info values ('d006', '宋朝风云', 'd');
insert into t_book_info values ('d007', '明朝那些事儿', 'd');
insert into t_book_info values ('d008', '清朝宫廷秘史', 'd');
-- book type: 国学入门 (e)
insert into t_book_info values ('e001', '论语解读', 'e');
insert into t_book_info values ('e002', '道德经注释', 'e');
insert into t_book_info values ('e003', '易经初探', 'e');
insert into t_book_info values ('e004', '诗经选读', 'e');
insert into t_book_info values ('e005', '孟子精讲', 'e');
insert into t_book_info values ('e006', '庄子心解', 'e');
insert into t_book_info values ('e007', '大学中庸', 'e');
insert into t_book_info values ('e008', '孝经新解', 'e');
commit;
-- 图书类别表插入数据
insert into dim_books_type values('a','散文随笔');
insert into dim_books_type values('b','世界名著');
insert into dim_books_type values('c','少儿童书');
insert into dim_books_type values('d','历史小说');
insert into dim_books_type values('e','国学入门');
commit;
-- 借书表插入数据
insert into t_borrow_order values('114','a002','2022-11-08 09:23:54');
insert into t_borrow_order values('115','e002','2022-11-08 09:23:54');
insert into t_borrow_order values('114','b003','2022-11-08 09:23:54');
insert into t_borrow_order values('116','d002','2022-11-08 09:23:54');
insert into t_borrow_order values('114','c001','2022-11-08 09:23:54');
insert into t_borrow_order values('115','a005','2022-11-08 09:23:54');
insert into t_borrow_order values('117','b004','2022-11-08 09:23:54');
insert into t_borrow_order values('118','a007','2022-11-08 09:23:54');
insert into t_borrow_order values('118','a004','2022-11-08 09:23:54');
insert into t_borrow_order values('119','e003','2022-11-08 09:23:54');
insert into t_borrow_order values('119','d001','2022-11-08 09:23:54');
insert into t_borrow_order values('120','a002','2022-11-08 09:23:54');
insert into t_borrow_order values('120','a004','2022-11-08 09:23:54');
insert into t_borrow_order values('121','d005','2022-11-08 09:23:54');
insert into t_borrow_order values('123','b006','2022-11-08 09:23:54');
insert into t_borrow_order values('124','a002','2022-11-08 09:23:54');
insert into t_borrow_order values('125','e004','2022-11-08 09:23:54');
insert into t_borrow_order values('126','b002','2022-11-08 09:23:54');
insert into t_borrow_order values('127','a003','2022-11-08 09:23:54');
insert into t_borrow_order values('124','d002','2022-11-08 09:23:54');
insert into t_borrow_order values('122','b001','2022-11-08 09:23:54');
insert into t_borrow_order values('128','a001','2022-11-08 09:23:54');
insert into t_borrow_order values('129','a006','2022-11-08 09:23:54');
insert into t_borrow_order values('125','d008','2022-11-08 09:23:54');
insert into t_borrow_order values('123','e008','2022-11-08 09:23:54');
insert into t_borrow_order values('120','a005','2022-11-08 09:23:54');
insert into t_borrow_order values('130','b007','2022-11-08 09:23:54');
insert into t_borrow_order values('131','a007','2022-11-08 09:23:54');
insert into t_borrow_order values('132','a008','2022-11-08 09:23:54');
insert into t_borrow_order values('133','e004','2022-11-08 09:23:54');
insert into t_borrow_order values('135','a004','2022-11-08 09:23:54');
insert into t_borrow_order values('133','d003','2022-11-08 09:23:54');
insert into t_borrow_order values('136','a003','2022-11-08 09:23:54');
insert into t_borrow_order values('138','a004','2022-11-08 09:23:54');
insert into t_borrow_order values('139','d001','2022-11-08 09:23:54');
insert into t_borrow_order values('133','e001','2022-11-08 09:23:54');
insert into t_borrow_order values('133','a002','2022-11-08 09:23:54');
insert into t_borrow_order values('132','e002','2022-11-08 09:23:54');
insert into t_borrow_order values('131','a003','2022-11-08 09:23:54');
insert into t_borrow_order values('141','b003','2022-11-08 09:23:54');
insert into t_borrow_order values('140','e003','2022-11-08 09:23:54');
insert into t_borrow_order values('142','a005','2022-11-08 09:23:54');
insert into t_borrow_order values('142','d005','2022-11-08 09:23:54');
insert into t_borrow_order values('146','b006','2022-11-08 09:23:54');
insert into t_borrow_order values('144','d006','2022-11-08 09:23:54');
insert into t_borrow_order values('148','d007','2022-11-08 09:23:54');
insert into t_borrow_order values('144','e003','2022-11-08 09:23:54');
insert into t_borrow_order values('142','a003','2022-11-08 09:23:54');
insert into t_borrow_order values('143','e003','2022-11-08 09:23:54');
insert into t_borrow_order values('149','d004','2022-11-08 09:23:54');
insert into t_borrow_order values('150','a005','2022-11-08 09:23:54');
insert into t_borrow_order values('151','a005','2022-11-08 09:23:54');
insert into t_borrow_order values('151','a002','2022-11-08 09:23:54');
insert into t_borrow_order values('154','d003','2022-11-08 09:23:54');
insert into t_borrow_order values('153','d002','2022-11-08 09:23:54');
insert into t_borrow_order values('156','a002','2022-11-08 09:23:54');
insert into t_borrow_order values('155','d003','2022-11-08 09:23:54');
insert into t_borrow_order values('157','a004','2022-11-08 09:23:54');
insert into t_borrow_order values('158','d005','2022-11-08 09:23:54');
insert into t_borrow_order values('159','a005','2022-11-08 09:23:54');
insert into t_borrow_order values('154','c006','2022-11-08 09:23:54');
insert into t_borrow_order values('153','d007','2022-11-08 09:23:54');
insert into t_borrow_order values('152','c004','2022-11-08 09:23:54');
insert into t_borrow_order values('154','a004','2022-11-08 09:23:54');
insert into t_borrow_order values('151','d003','2022-11-08 09:23:54');
insert into t_borrow_order values('152','a002','2022-11-08 09:23:54');
insert into t_borrow_order values('162','c003','2022-11-08 09:23:54');
insert into t_borrow_order values('161','a001','2022-11-08 09:23:54');
insert into t_borrow_order values('166','d002','2022-11-08 09:23:54');
insert into t_borrow_order values('163','a002','2022-11-08 09:23:54');
insert into t_borrow_order values('167','c003','2022-11-08 09:23:54');
insert into t_borrow_order values('169','a005','2022-11-08 09:23:54');
commit; init_book_result.sql
-- 设置sql_mode
set sql_mode = 'NO_ENGINE_SUBSTITUTION,STRICT_TRANS_TABLES';
-- 创建数据库result,并进行切换
create database book_result;
use book_result;
-- 创建图书类别浏览量表
CREATE TABLE t_books_type_borrow_count(
type_name varchar(100) not null,
borrow_count int not null
)DEFAULT CHARSET='utf8';
2.通过sqoop将mysql中的业务数据导入到大数据平台（hive）
在hive中创建映射的数据库
init_hive.sql
create database library;
use library;
-- 创建用户信息表
create table t_user_info (
user_id STRING comment "用户id",
user_name STRINGcomment "用户姓名",
sex STRING comment "用户姓名",
age INT comment "用户性别"
)
comment "用户信息表"
row format delimited fields terminated by ','
stored as textfile;
-- 创建图书表
create table t_book_info (
book_id STRING comment "图书id",
book_name STRINGcomment "书名",
type_id STRING comment "类别id"
)
comment "图书表"
row format delimited fields terminated by ','
stored as textfile;
-- 创建图书类别表
create table dim_books_type (
type_id STRING comment "类别id",
type_name STRINGcomment "类别名"
)
comment "图书类别表"
row format delimited fields terminated by ','
stored as textfile;
-- 创建借书表
create table t_borrow_order (
user_id STRING comment "用户id",
book_id STRING comment "图书id",
create_time STRING comment "创建时间"
)
comment "借书表"
row format delimited fields terminated by ','
stored as textfile; source /opt/sql/library/init_hive.sql;
https://i-blog.csdnimg.cn/direct/906a4809a313408abd04671119e07742.png
导入mysql数据到hive中
此次mysql与hive中的表名都雷同
sqoop import \
虚拟机 端口号 mysql中的数据库名
--connect jdbc:mysql://bigdata004:3306/mall \
--username root \
--password root123 \
mysql中的表名
--table t_user_info \
--num-mappers 1 \
--hive-import \
--fields-terminated-by "," \
--hive-overwrite \
导入dim_books_type
sqoop import \
--connect jdbc:mysql://bigdata004:3306/library \
--username root \
--password root123 \
--table dim_books_type \
--num-mappers 1 \
--hive-import \
--fields-terminated-by "," \
--hive-overwrite \
--hive-table library.dim_books_type 3.通过hive举行数据计算和数据分析 形成数据报表
--切换数据库
use library;
--创建图书类别借阅表
--从借书表中获取图书id
--从图书表中获取图书id的类别id
--从类别表中获取类别名
--表中显示 类名 和 该类名的总数（）
create table if not exists library.dws_borrow_books_type_count
as
select t3.type_name,count(t2.type_id) as borrow_count from (select book_id from t_borrow_order) t1
inner join t_book_info t2 on t1.book_id=t2.book_id
inner join dim_books_type t3 on t2.type_id=t3.type_id
group by t3.type_name; 4.再通过sqoop将数据报表导出到mysql
-- sqoop导出数据到mysql
sqoop export \
主机名 数据库
--connect jdbc:mysql://bigdata004:3306/result \
--username root \
--password root123 \
mysql上的表名
--table t_city_sale_total \
--num-mappers 1 \
hdfs上的数据库位置
--export-dir /user/hive/warehouse/mall_bigdata.db/dws_sale_order_city_total \
--input-fields-terminated-by "\001"
-- sqoop导出数据到mysql
sqoop export \
--connect jdbc:mysql://bigdata004:3306/book_result \
--username root \
--password root123 \
--table t_books_type_borrow_count \
--num-mappers 1 \
--export-dir /user/hive/warehouse/library.db/dws_borrow_books_type_count \
--input-fields-terminated-by "\001"
https://i-blog.csdnimg.cn/direct/644dcac5668041b1bfc49d424d2ce2c7.png
5.使用FineReport制作数据报表
https://i-blog.csdnimg.cn/direct/544901777051401b9bb2a15fd5022405.png
https://i-blog.csdnimg.cn/direct/16d89d51ecce47b78ae3a45992174e69.png
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