尚硅谷大数据项目《在线教育之离线数仓》笔记003

视频地址：尚硅谷大数据项目《在线教育之离线数仓》_哔哩哔哩_bilibili

目录

第8章 数仓开发之DIM层

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---

第8章 数仓开发之DIM层

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第8章 数仓开发之DIM层

DIM层设计要点：

（1）DIM层的设计依据是维度建模理论，该层存储维度模型的维度表。

（2）DIM层的数据存储格式为orc列式存储+snappy压缩。

（3）DIM层表名的命名规范为dim_表名_全量表或者拉链表标识（full/zip）。

[2023-08-21 10:21:33] org.apache.hadoop.hive.ql.parse.SemanticException:Failed to get a spark session: org.apache.hadoop.hive.ql.metadata.HiveException: Failed to create Spark client for Spark session 2ed82e1b-8afb-4ad0-9ed2-0f84191a4343

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show databases;

use edu2077;

show tables;

--8.1 章节维度表（全量）
DROP TABLE IF EXISTS dim_chapter_full;
CREATE EXTERNAL TABLE dim_chapter_full
(
    `id`           STRING COMMENT '章节ID',
    `chapter_name` STRING COMMENT '章节名称',
    `course_id`    STRING COMMENT '课程ID',
    `video_id`     STRING COMMENT '视频ID',
    `publisher_id` STRING COMMENT '发布者ID',
    `is_free`      STRING COMMENT '是否免费',
    `create_time`  STRING COMMENT '创建时间',
    `update_time`  STRING COMMENT '更新时间'
) COMMENT '章节维度表'
    PARTITIONED BY (`dt` STRING)
    STORED AS ORC
    LOCATION '/warehouse/edu/dim/dim_chapter_full/'
    TBLPROPERTIES ('orc.compress' = 'snappy');

--数据装载
--insert overwrite覆盖写，insert into会造成数据重复。
insert overwrite table dim_chapter_full partition (dt = '2022-02-21')
select id,
       chapter_name,
       course_id,
       video_id,
       publisher_id,
       is_free,
       create_time,
       update_time
from ods_chapter_info_full
where dt = '2022-02-21';

select *
from dim_chapter_full;

--8.2 课程维度表（全量）
DROP TABLE IF EXISTS dim_course_full;
CREATE EXTERNAL TABLE dim_course_full
(
    `id`            STRING COMMENT '编号',
    `course_name`   STRING COMMENT '课程名称',
    `subject_id`    STRING COMMENT '学科id',
    `subject_name`  STRING COMMENT '学科名称',
    `category_id`   STRING COMMENT '分类id',
    `category_name` STRING COMMENT '分类名称',
    `teacher`       STRING COMMENT '讲师名称',
    `publisher_id`  STRING COMMENT '发布者id',
    `chapter_num`   BIGINT COMMENT '章节数',
    `origin_price`  decimal(16, 2) COMMENT '价格',
    `reduce_amount` decimal(16, 2) COMMENT '优惠金额',
    `actual_price`  decimal(16, 2) COMMENT '实际价格',
    `create_time`   STRING COMMENT '创建时间',
    `update_time`   STRING COMMENT '更新时间',
    `chapters`      ARRAY> COMMENT '章节'
) COMMENT '课程维度表'
    PARTITIONED BY (`dt` STRING)
    STORED AS ORC
    LOCATION '/warehouse/edu/dim/dim_course_full/'
    TBLPROPERTIES ('orc.compress' = 'snappy');


select *
from ods_base_source_full
where dt = '2022-02-21';

select *
from ods_course_info_full
where dt = '2022-02-21';

select *
from (
         select id,
                course_name,
                course_slogan,
                subject_id,
                teacher,
                publisher_id,
                chapter_num,
                origin_price,
                reduce_amount,
                actual_price,
                course_introduce,
                create_time,
                update_time
         from ods_course_info_full
         where dt = '2022-02-21'
     ) ci;--ci是别名

with ci as (
    select id,
           course_name,
           course_slogan,
           subject_id,
           teacher,
           publisher_id,
           chapter_num,
           origin_price,
           reduce_amount,
           actual_price,
           course_introduce,
           create_time,
           update_time
    from ods_course_info_full
    where dt = '2022-02-21'
),
     bci as (
         select id, category_name
         from ods_base_category_info_full
         where dt = '2022-02-21'
     ),
     bs as (
         select id, subject_name, category_id
         from ods_base_subject_info_full
         where dt = '2022-02-21'
     ),
     chapter as (
         select course_id,
                --chapter_id : STRING,chapter_name : STRING, video_id : STRING,is_free : STRING
                collect_set(
                        named_struct('chapter_id', id, 'chapter_name', chapter_name,
                                     'video_id', video_id, 'is_free', is_free)) cs
         from ods_chapter_info_full
         where dt = '2022-02-21'
         group by course_id
     )
insert overwrite table dim_course_full partition (dt = '2022-02-21')
select ci.id,
       course_name,
       subject_id,
       subject_name,
       category_id,
       category_name,
       teacher,
       publisher_id,
       chapter_num,
       origin_price,
       reduce_amount,
       actual_price,
       create_time,
       update_time,
       cs chapters
from ci
         left join bs
                   on ci.subject_id = bs.id
         left join bci
                   on bs.category_id = bci.id
         left join chapter
                   on ci.id = chapter.course_id;

--desc function extended named_struct;

select * from dim_course_full;

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--8.3 视频维度表（全量）

show databases;

--8.3 视频维度表（全量）
DROP TABLE IF EXISTS dim_video_full;
CREATE EXTERNAL TABLE dim_video_full
(
    `id`           STRING COMMENT '编号',
    `video_name`   STRING COMMENT '视频名称',
    `during_sec`   BIGINT COMMENT '时长',
    `video_status` STRING COMMENT '状态 未上传，上传中，上传完',
    `video_size`   BIGINT COMMENT '大小',
    `version_id`   STRING COMMENT '版本号',
    `chapter_id`   STRING COMMENT '章节id',
    `chapter_name` STRING COMMENT '章节名称',
    `is_free`      STRING COMMENT '是否免费',
    `course_id`    STRING COMMENT '课程id',
    `publisher_id` STRING COMMENT '发布者id',
    `create_time`  STRING COMMENT '创建时间',
    `update_time`  STRING COMMENT '更新时间'
) COMMENT '视频维度表'
    PARTITIONED BY (`dt` STRING)
    STORED AS ORC
    LOCATION '/warehouse/edu/dim/dim_video_zip/'
    TBLPROPERTIES ('orc.compress' = 'snappy');

select *
from ods_video_info_full
where dt = '2022-02-21';

insert overwrite table dim_video_full partition (dt = '2022-02-21')
select id,
       video_name,
       during_sec,
       video_status,
       video_size,
       version_id,
       chapter_id,
       chapter_name,
       is_free,
       course_id,
       publisher_id,
       create_time,
       update_time
from (
         select id,
                video_name,
                during_sec,
                video_status,
                video_size,
                video_url,
                video_source_id,
                version_id,
                chapter_id,
                course_id,
                publisher_id,
                create_time,
                update_time,
                deleted
         from ods_video_info_full
         where dt = '2022-02-21'
           and deleted = '0'
     ) vi
         left join(
    select chapter_name,
           video_id,
           is_free
    from ods_chapter_info_full
    where dt = '2022-02-21'
) ci
                  on vi.id = ci.video_id;

select *
from dim_video_full;



insert overwrite table dim_video_full partition (dt = '2022-02-21')
select vt.id,
       video_name,
       during_sec,
       video_status,
       video_size,
       version_id,
       chapter_id,
       chapter_name,
       is_free,
       course_id,
       publisher_id,
       create_time,
       update_time
from (
         select id,
                video_name,
                during_sec,
                video_status,
                video_size,
                version_id,
                chapter_id,
                course_id,
                publisher_id,
                create_time,
                update_time
         from ods_video_info_full
         where dt = '2022-02-21'
           and deleted = '0'
     ) vt
         join
     (
         select id,
                chapter_name,
                is_free
         from ods_chapter_info_full
         where dt = '2022-02-21'
     ) cht
     on vt.chapter_id = cht.id;

org.apache.hadoop.hive.ql.parse.SemanticException:Failed to get a spark session: org.apache.hadoop.hive.ql.metadata.HiveException: Failed to create Spark client for Spark session 2519dff0-c795-4852-a1b4-f40ad1750136

2023/8/23
14:50    t004.sql: insert overwrite table dim_vi…     on vt.chapter_id = cht.id... failed.

15:00    t004.sql: insert overwrite table dim_vi…     on vt.chapter_id = cht.id... failed.

org.apache.hadoop.hive.ql.parse.SemanticException:Failed to get a spark session: org.apache.hadoop.hive.ql.metadata.HiveException: Failed to create Spark client due to invalid resource request: Required executor memory (2048 MB), offHeap memory (0) MB, overhead (384 MB), and PySpark memory (0 MB) is above the max threshold (2048 MB)

报错-hive on spark执行数据导入脚本报错_dyson不只是吹风机的博客-CSDN博客

[atguigu@node001 hadoop]$ myhadoop.sh start
 ================ 启动 hadoop集群 ================
 ---------------- 启动 hdfs ----------------
Starting namenodes on [node001]
Starting datanodes
Starting secondary namenodes [node003]
 --------------- 启动 yarn ---------------
Starting resourcemanager
Starting nodemanagers
 --------------- 启动 historyserver ---------------
[atguigu@node001 hadoop]$ cd /opt/module/hive/hive-3.1.2/
[atguigu@node001 hive-3.1.2]$ nohup bin/hive &
[1] 11485
[atguigu@node001 hive-3.1.2]$ nohup: 忽略输入并把输出追加到"nohup.out"

[atguigu@node001 hive-3.1.2]$ nohup bin/hive --service hiveserver2 &
[2] 11626
[atguigu@node001 hive-3.1.2]$ nohup: 忽略输入并把输出追加到"nohup.out"

[atguigu@node001 hive-3.1.2]$ jpsall
================ node001 ================
3872 QuorumPeerMain
4291 Kafka
11381 JobHistoryServer
10583 NameNode
11626 RunJar
10747 DataNode
13660 Jps
13533 YarnCoarseGrainedExecutorBackend
11485 RunJar
11167 NodeManager
================ node002 ================
7841 Jps
5586 ResourceManager
2946 Kafka
7683 ApplicationMaster
2552 QuorumPeerMain
5384 DataNode
5711 NodeManager
================ node003 ================
6944 YarnCoarseGrainedExecutorBackend
2256 QuorumPeerMain
5040 SecondaryNameNode
4929 DataNode
2643 Kafka
5158 NodeManager
7047 Jps
[atguigu@node001 hive-3.1.2]$ 

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8.4 试卷维度表（全量）

--8.4 试卷维度表（全量）
DROP TABLE IF EXISTS dim_paper_full;
CREATE EXTERNAL TABLE dim_paper_full
(
    `id`           STRING COMMENT '编号',
    `paper_title`  STRING COMMENT '试卷名称',
    `course_id`    STRING COMMENT '课程id',
    `create_time`  STRING COMMENT '创建时间',
    `update_time`  STRING COMMENT '更新时间',
    `publisher_id` STRING COMMENT '发布者id',
    `questions`    ARRAY> COMMENT '题目'
) COMMENT '试卷维度表'
    PARTITIONED BY (`dt` STRING)
    STORED AS ORC
    LOCATION '/warehouse/edu/dim/dim_paper_full/'
    TBLPROPERTIES ('orc.compress' = 'snappy');

select *
from ods_test_paper_full;

insert overwrite table dim_paper_full partition (dt = '2022-02-21')
select id,
       paper_title,
       course_id,
       create_time,
       update_time,
       publisher_id,
       qs
from (
         select id,
                paper_title,
                course_id,
                create_time,
                update_time,
                publisher_id,
                deleted
         from ods_test_paper_full
         where dt = '2022-02-21'
         --and deleted = '0'
     ) tp
         left join (
    select paper_id,
           --question_id: STRING, score: DECIMAL(16, 2)
           collect_set(named_struct('question_id', id, 'score', score)) qs
    from ods_test_paper_question_full
    where dt = '2022-02-21'
      and deleted = '0'
    group by paper_id
) pq
                   on tp.id = pq.paper_id;

select * from dim_paper_full;

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8.5 来源维度表（全量）

8.6 题目维度表（全量）

8.7 地区维度表（全量）

--8.5 来源维度表（全量）
DROP TABLE IF EXISTS dim_source_full;
CREATE EXTERNAL TABLE dim_source_full
(
    `id`          STRING COMMENT '编号',
    `source_site` STRING COMMENT '来源'
) COMMENT '来源维度表'
    PARTITIONED BY (`dt` STRING)
    STORED AS ORC
    LOCATION '/warehouse/edu/dim/dim_source_full/'
    TBLPROPERTIES ('orc.compress' = 'snappy');

insert overwrite table edu2077.dim_source_full partition (dt = '2022-02-21')
select id,
       source_site
from edu2077.ods_base_source_full obsf
where dt = '2022-02-21';

select * from dim_source_full;



--8.6 题目维度表（全量）
DROP TABLE IF EXISTS dim_question_full;
CREATE EXTERNAL TABLE dim_question_full
(
    `id`            STRING COMMENT '编号',
    `chapter_id`    STRING COMMENT '章节id',
    `course_id`     STRING COMMENT '课程id',
    `question_type` BIGINT COMMENT '题目类型',
    `create_time`   STRING COMMENT '创建时间',
    `update_time`   STRING COMMENT '更新时间',
    `publisher_id`  STRING COMMENT '发布者id'
) COMMENT '题目维度表'
    PARTITIONED BY (`dt` STRING)
    STORED AS ORC
    LOCATION '/warehouse/edu/dim/dim_question_full/'
    TBLPROPERTIES ('orc.compress' = 'snappy');

insert overwrite table edu2077.dim_question_full
    partition (dt = '2022-02-21')
select id,
       chapter_id,
       course_id,
       question_type,
       create_time,
       update_time,
       publisher_id
from edu2077.ods_test_question_info_full
where deleted = '0'
  and dt = '2022-02-21';

select * from dim_question_full;



--8.7 地区维度表（全量）
DROP TABLE IF EXISTS dim_province_full;
CREATE EXTERNAL TABLE dim_province_full
(
    `id`         STRING COMMENT '编号',
    `name`       STRING COMMENT '省名称',
    `region_id`  STRING COMMENT '地区id',
    `area_code`  STRING COMMENT '行政区位码',
    `iso_code`   STRING COMMENT '国际编码',
    `iso_3166_2` STRING COMMENT 'ISO3166编码'
) COMMENT '地区维度表'
    PARTITIONED BY (`dt` STRING)
    STORED AS ORC
    LOCATION '/warehouse/edu/dim/dim_province_full/'
    TBLPROPERTIES ('orc.compress' = 'snappy');

insert overwrite table edu2077.dim_province_full partition (dt = '2022-02-21')
select id,
       name,
       region_id,
       area_code,
       iso_code,
       iso_3166_2
from edu2077.ods_base_province_full
where dt = '2022-02-21';

select * from dim_province_full;

P044

8.8 时间维度表（特殊）

--8.8 时间维度表（特殊）
DROP TABLE IF EXISTS dim_date;
CREATE EXTERNAL TABLE dim_date
(
    `date_id`    STRING COMMENT '日期id',
    `week_id`    STRING COMMENT '周id,一年中的第几周',
    `week_day`   STRING COMMENT '周几',
    `day`        STRING COMMENT '每月的第几天',
    `month`      STRING COMMENT '一年中的第几月',
    `quarter`    STRING COMMENT '一年中的第几季度',
    `year`       STRING COMMENT '年份',
    `is_workday` STRING COMMENT '是否是工作日',
    `holiday_id` STRING COMMENT '节假日'
) COMMENT '时间维度表'
    STORED AS ORC
    LOCATION '/warehouse/edu/dim/dim_date/'
    TBLPROPERTIES ('orc.compress' = 'snappy');

DROP TABLE IF EXISTS tmp_dim_date_info;
CREATE EXTERNAL TABLE tmp_dim_date_info
(
    `date_id`    STRING COMMENT '日',
    `week_id`    STRING COMMENT '周id',
    `week_day`   STRING COMMENT '周几',
    `day`        STRING COMMENT '每月的第几天',
    `month`      STRING COMMENT '第几月',
    `quarter`    STRING COMMENT '第几季度',
    `year`       STRING COMMENT '年',
    `is_workday` STRING COMMENT '是否是工作日',
    `holiday_id` STRING COMMENT '节假日'
) COMMENT '时间维度表'
    ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
    LOCATION '/warehouse/edu/tmp/tmp_dim_date_info/';

insert overwrite table dim_date
select *
from tmp_dim_date_info;

insert overwrite table dim_date
select date_id,
       week_id,
       week_day,
       day,
       month,
       quarter,
       year,
       is_workday,
       holiday_id
from tmp_dim_date_info;

select * from dim_date;

P045

8.9 用户维度表（拉链表）

--8.9 用户维度表（拉链表）
DROP TABLE IF EXISTS dim_user_zip;
CREATE EXTERNAL TABLE dim_user_zip
(
    `id`           STRING COMMENT '编号',
    `login_name`   STRING COMMENT '用户名称',
    `nick_name`    STRING COMMENT '用户昵称',
    `real_name`    STRING COMMENT '用户姓名',
    `phone_num`    STRING COMMENT '手机号',
    `email`        STRING COMMENT '邮箱',
    `user_level`   STRING COMMENT '用户级别',
    `birthday`     STRING COMMENT '用户生日',
    `gender`       STRING COMMENT '性别 M男,F女',
    `create_time`  STRING COMMENT '创建时间',
    `operate_time` STRING COMMENT '修改时间',
    `status`       STRING COMMENT '状态',
    `start_date`   STRING COMMENT '开始日期',
    `end_date`     STRING COMMENT '结束日期'
) COMMENT '用户表'
    PARTITIONED BY (`dt` STRING)
    STORED AS ORC
    LOCATION '/warehouse/edu/dim/dim_user_zip/'
    TBLPROPERTIES ('orc.compress' = 'snappy');

P046

8.9 用户维度表（拉链表）

（3）首日装载

inc等增量表没有数据：尚硅谷在线教育系统项目，ods_user_info_inc这个增量表没有数据，课件上也没有相关操作，有空帮我看看？应该是执行hdfs_to_ods_db.sh这个数据装载脚本的时候，增量表数据没有被添加到hdfs里面。

启动Maxwell后，再执行hdfs_to_ods_db.sh脚本就行了。

{"id":"3","login_name":"tws1uxb5r","nick_name":"进林","passwd":null,"real_name":"贺进林","phone_num":"13443888468","email":"[email protected]","head_img":null,"user_level":"1","birthday":"1987-06-16","gender":null,"create_time":"2022-02-16 00:00:00","operate_time":null,"status":null}
{
    "id":"3",
    "login_name":"tws1uxb5r",
    "nick_name":"进林",
    "passwd":null,
    "real_name":"贺进林",
    "phone_num":"13443888468",
    "email":"[email protected]",
    "head_img":null,
    "user_level":"1",
    "birthday":"1987-06-16",
    "gender":null,
    "create_time":"2022-02-16 00:00:00",
    "operate_time":null,
    "status":null
}

--8.9 用户维度表（拉链表）
DROP TABLE IF EXISTS dim_user_zip;
CREATE EXTERNAL TABLE dim_user_zip
(
    `id`           STRING COMMENT '编号',
    `login_name`   STRING COMMENT '用户名称',
    `nick_name`    STRING COMMENT '用户昵称',
    `real_name`    STRING COMMENT '用户姓名',
    `phone_num`    STRING COMMENT '手机号',
    `email`        STRING COMMENT '邮箱',
    `user_level`   STRING COMMENT '用户级别',
    `birthday`     STRING COMMENT '用户生日',
    `gender`       STRING COMMENT '性别 M男,F女',
    `create_time`  STRING COMMENT '创建时间',
    `operate_time` STRING COMMENT '修改时间',
    `status`       STRING COMMENT '状态',
    `start_date`   STRING COMMENT '开始日期',
    `end_date`     STRING COMMENT '结束日期'
) COMMENT '用户表'
    PARTITIONED BY (`dt` STRING)
    STORED AS ORC
    LOCATION '/warehouse/edu/dim/dim_user_zip/'
    TBLPROPERTIES ('orc.compress' = 'snappy');


select * from edu2077.ods_user_info_inc
where dt = '2022-02-21';


select * from edu2077.ods_user_info_inc
where dt = '2022-02-21'
  and type = 'bootstrap-insert';


select data.id,
       data.login_name,
       data.nick_name,
       data.passwd,
       data.real_name,
       data.phone_num,
       data.email,
       data.head_img,
       data.user_level,
       data.birthday,
       data.gender,
       data.create_time,
       data.operate_time,
       data.status
from edu2077.ods_user_info_inc
where dt = '2022-02-21'
  and type = 'bootstrap-insert';


insert overwrite table edu2077.dim_user_zip partition (dt = '9999-12-31')
select data.id,
       data.login_name,
       data.nick_name,
       md5(data.real_name),
       md5(if(data.phone_num regexp '^(13[0-9]|14[01456879]|15[0-35-9]|16[2567]|17[0-8]|18[0-9]|19[0-35-9])\\d{8}$',
              data.phone_num, null)),
       md5(if(data.email regexp '^[a-zA-Z0-9_-]+@[a-zA-Z0-9_-]+(\\.[a-zA-Z0-9_-]+)+$', data.email, null)),
       data.user_level,
       data.birthday,
       data.gender,
       data.create_time,
       data.operate_time,
       data.status,
       '2022-02-21' start_date,
       '9999-12-31' end_date
from edu2077.ods_user_info_inc
where dt = '2022-02-21'
  and type = 'bootstrap-insert';


select * from dim_user_zip;

P047

8.9 用户维度表（拉链表）

（4）每日装载

--8.9 用户维度表（拉链表）
--（4）每日装载
select *
from edu2077.ods_user_info_inc
where dt = '2022-02-21';

select *
from edu2077.ods_user_info_inc
where dt = '2022-02-22';

select *
from dim_user_zip
where dt = '9999-12-31';

select data.id,
       data.login_name,
       data.nick_name,
       md5(data.real_name),
       md5(if(data.phone_num regexp '^(13[0-9]|14[01456879]|15[0-35-9]|16[2567]|17[0-8]|18[0-9]|19[0-35-9])\\d{8}$',
              data.phone_num, null)),
       md5(if(data.email regexp '^[a-zA-Z0-9_-]+@[a-zA-Z0-9_-]+(\\.[a-zA-Z0-9_-]+)+$', data.email, null)),
       data.user_level,
       data.birthday,
       data.gender,
       data.create_time,
       data.operate_time,
       data.status,
       '2022-02-21' start_date,
       '9999-12-31' end_date
from edu2077.ods_user_info_inc
where dt = '2022-02-22';



select id,
       login_name,
       nick_name,
       real_name,
       phone_num,
       email,
       user_level,
       birthday,
       gender,
       create_time,
       operate_time,
       status,
       start_date
from dim_user_zip
where dt = '9999-12-31'
union
select data.id,
       data.login_name,
       data.nick_name,
       md5(data.real_name),
       md5(if(data.phone_num regexp '^(13[0-9]|14[01456879]|15[0-35-9]|16[2567]|17[0-8]|18[0-9]|19[0-35-9])\\d{8}$',
              data.phone_num, null)),
       md5(if(data.email regexp '^[a-zA-Z0-9_-]+@[a-zA-Z0-9_-]+(\\.[a-zA-Z0-9_-]+)+$', data.email, null)),
       data.user_level,
       data.birthday,
       data.gender,
       data.create_time,
       data.operate_time,
       data.status,
       '2022-02-21' start_date,
       '9999-12-31' end_date

from edu2077.ods_user_info_inc
where dt = '2022-02-22';



set hive.exec.dynamic.partition.mode=nonstrict;--关闭严格模式
insert overwrite table edu2077.dim_user_zip partition (dt)
select id,
       login_name,
       nick_name,
       real_name,
       phone_num,
       email,
       user_level,
       birthday,
       gender,
       create_time,
       operate_time,
       status,
       start_date,
       if(rn = 1, '9999-12-31', date_sub('2022-02-22', 1)) end_date,
       if(rn = 1, '9999-12-31', date_sub('2022-02-22', 1)) dt
from (
         select id,
                login_name,
                nick_name,
                real_name,
                phone_num,
                email,
                user_level,
                birthday,
                gender,
                create_time,
                operate_time,
                status,
                start_date,
                end_date,
                row_number() over (partition by id order by start_date desc) rn
         from (
                  select id,
                         login_name,
                         nick_name,
                         real_name,
                         phone_num,
                         email,
                         user_level,
                         birthday,
                         gender,
                         create_time,
                         operate_time,
                         status,
                         start_date,
                         end_date
                  from edu2077.dim_user_zip
                  where dt = '9999-12-31'
                  union
                  select id,
                         login_name,
                         nick_name,
                         real_name,
                         phone_num,
                         email,
                         user_level,
                         birthday,
                         gender,
                         create_time,
                         operate_time,
                         status,
                         '2020-02-22' start_date,
                         '9999-12-31' end_date
                  from (
                           select data.id,
                                  data.login_name,
                                  data.nick_name,
                                  md5(data.real_name)                                       real_name,
                                  md5(if(data.phone_num regexp
                                         '^(13[0-9]|14[01456879]|15[0-35-9]|16[2567]|17[0-8]|18[0-9]|19[0-35-9])\\d{8}$',
                                         data.phone_num, null))                             phone_num,
                                  md5(if(data.email regexp '^[a-zA-Z0-9_-]+@[a-zA-Z0-9_-]+(\\.[a-zA-Z0-9_-]+)+$',
                                         data.email, null))                                 email,
                                  data.user_level,
                                  data.birthday,
                                  data.gender,
                                  data.create_time,
                                  data.operate_time,
                                  data.status,
                                  row_number() over (partition by data.id order by ts desc) rn
                           from edu2077.ods_user_info_inc
                           where dt = '2022-02-22'
                       ) t1
                  where rn = 1
              ) t2
     ) t3;

P048

8.10 数据装载脚本

8.10.1 首日装载脚本

8.10.2 每日装载脚本

#vim ods_to_dim_init.sh

#!/bin/bash
if [ -n "$2" ] ;then
    do_date=$2
else
    echo "请传入日期参数"
    exit
fi

APP=edu

dim_chapter_full="
insert overwrite table ${APP}.dim_chapter_full
    partition (dt = '$do_date')
select id,
       chapter_name,
       course_id,
       video_id,
       publisher_id,
       is_free,
       create_time,
       update_time
from ${APP}.ods_chapter_info_full
where deleted = '0'
  and dt = '$do_date';"

dim_course_full="
with a as
         (
             select id, category_name
                 from ${APP}.ods_base_category_info_full
             where deleted = '0'
               and dt = '$do_date'
         ),
     b as
         (
             select id, subject_name, category_id
                 from ${APP}.ods_base_subject_info_full
             where deleted = '0'
               and dt = '$do_date'
         ),
     c as
         (
             select id,
                    course_name,
                    subject_id,
                    teacher,
                    publisher_id,
                    chapter_num,
                    origin_price,
                    reduce_amount,
                    actual_price,
                    create_time,
                    update_time
                 from ${APP}.ods_course_info_full
             where deleted = '0'
               and dt = '$do_date'
         ),
     d as
         (
             select course_id,
                    collect_set(named_struct('chapter_id', id, 'chapter_name', chapter_name, 'video_id', video_id, 'is_free', is_free)) chapters
                 from ${APP}.ods_chapter_info_full
             where deleted = '0'
               and dt = '$do_date'
             group by course_id
         )
insert overwrite table ${APP}.dim_course_full
partition(dt = '$do_date')
select c.id,
       course_name,
       subject_id,
       subject_name,
       category_id,
       category_name,
       teacher,
       publisher_id,
       chapter_num,
       origin_price,
       reduce_amount,
       actual_price,
       create_time,
       update_time,
       chapters
from c
         left join b
                   on c.subject_id = b.id
         left join a
                   on b.category_id = a.id
         left join d
                   on c.id = d.course_id;"

dim_video_full="
insert overwrite table ${APP}.dim_video_full partition (dt = '$do_date')
select vt.id,
       video_name,
       during_sec,
       video_status,
       video_size,
       version_id,
       chapter_id,
       chapter_name,
       is_free,
       course_id,
       publisher_id,
       create_time,
       update_time
from (
         select id,
                video_name,
                during_sec,
                video_status,
                video_size,
                version_id,
                chapter_id,
                course_id,
                publisher_id,
                create_time,
                update_time
         from ${APP}.ods_video_info_full
         where dt = '$do_date' and deleted = '0'
     ) vt
         join
     (
         select id,
                chapter_name,
                is_free
         from ${APP}.ods_chapter_info_full
         where dt = '$do_date'
     ) cht
     on vt.chapter_id = cht.id;"

dim_paper_full="
insert overwrite table ${APP}.dim_paper_full partition (dt = '$do_date')
select t1.id,
       paper_title,
       course_id,
       create_time,
       update_time,
       publisher_id,
       questions
from ${APP}.ods_test_paper_full t1
         left join
     (
         select paper_id,
                 collect_set(named_struct('question_id', question_id, 'score', score)) questions
         from ${APP}.ods_test_paper_question_full
         where deleted = '0' and dt = '$do_date'
         group by paper_id
     ) t2
     on t1.id = t2.paper_id
where t1.deleted = '0' and t1.dt = '$do_date';"

dim_source_full="
insert overwrite table ${APP}.dim_source_full partition (dt = '$do_date')
select id,
       source_site
from ${APP}.ods_base_source_full obsf
where dt = '$do_date';"

dim_question_full="
insert overwrite table ${APP}.dim_question_full
    partition (dt = '$do_date')
select id,
       chapter_id,
       course_id,
       question_type,
       create_time,
       update_time,
       publisher_id
from ${APP}.ods_test_question_info_full
where deleted = '0'
  and dt = '$do_date';"

dim_province_full="
insert overwrite table ${APP}.dim_province_full partition (dt = '$do_date')
select id,
       name,
       region_id,
       area_code,
       iso_code,
       iso_3166_2
from ${APP}.ods_base_province_full
where dt = '$do_date';"

dim_user_zip="
insert overwrite table ${APP}.dim_user_zip
    partition (dt = '9999-12-31')
select data.id,
       data.login_name,
       data.nick_name,
       md5(data.real_name),
       md5(if(data.phone_num regexp '^(13[0-9]|14[01456879]|15[0-35-9]|16[2567]|17[0-8]|18[0-9]|19[0-35-9])\\d{8}$',data.phone_num,null)),
       md5(if(data.email regexp '^[a-zA-Z0-9_-]+@[a-zA-Z0-9_-]+(\\.[a-zA-Z0-9_-]+)+$',data.email,null)),
       data.user_level,
       data.birthday,
       data.gender,
       data.create_time,
       data.operate_time,
       data.status,
       '$do_date' start_date,
       '9999-12-31' end_date
from ${APP}.ods_user_info_inc
where dt = '$do_date'
  and type = 'bootstrap-insert';"

case $1 in
    dim_chapter_full|dim_course_full|dim_video_full|dim_paper_full|dim_source_full|dim_question_full|dim_province_full|dim_user_zip)
        eval "hive -e \"\$$1\""
    ;;
    "all" )
        hive -e "${dim_chapter_full}${dim_course_full}${dim_video_full}${dim_paper_full}${dim_source_full}${dim_question_full}${dim_province_full}${dim_user_zip}"
    ;;
esac

#vim ods_to_dim.sh

#!/bin/bash
if [ -n "$2" ] ;then
    do_date=$2
else
    do_date=`date -d "-1 day" +%F`
fi

APP=edu

dim_chapter_full="
insert overwrite table ${APP}.dim_chapter_full
    partition (dt = '$do_date')
select id,
       chapter_name,
       course_id,
       video_id,
       publisher_id,
       is_free,
       create_time,
       update_time
from ${APP}.ods_chapter_info_full
where deleted = '0'
  and dt = '$do_date';"

dim_course_full="
with a as
         (
             select id, category_name
                 from ${APP}.ods_base_category_info_full
             where deleted = '0'
               and dt = '$do_date'
         ),
     b as
         (
             select id, subject_name, category_id
                 from ${APP}.ods_base_subject_info_full
             where deleted = '0'
               and dt = '$do_date'
         ),
     c as
         (
             select id,
                    course_name,
                    subject_id,
                    teacher,
                    publisher_id,
                    chapter_num,
                    origin_price,
                    reduce_amount,
                    actual_price,
                    create_time,
                    update_time
                 from ${APP}.ods_course_info_full
             where deleted = '0'
               and dt = '$do_date'
         ),
     d as
         (
             select course_id,
                    collect_set(named_struct('chapter_id', id, 'chapter_name', chapter_name, 'video_id', video_id, 'is_free', is_free)) chapters
                 from ${APP}.ods_chapter_info_full
             where deleted = '0'
               and dt = '$do_date'
             group by course_id
         )
insert overwrite table ${APP}.dim_course_full
partition(dt = '$do_date')
select c.id,
       course_name,
       subject_id,
       subject_name,
       category_id,
       category_name,
       teacher,
       publisher_id,
       chapter_num,
       origin_price,
       reduce_amount,
       actual_price,
       create_time,
       update_time,
       chapters
from c
         left join b
                   on c.subject_id = b.id
         left join a
                   on b.category_id = a.id
         left join d
                   on c.id = d.course_id;"

dim_video_full="
insert overwrite table ${APP}.dim_video_full partition (dt = '$do_date')
select vt.id,
       video_name,
       during_sec,
       video_status,
       video_size,
       version_id,
       chapter_id,
       chapter_name,
       is_free,
       course_id,
       publisher_id,
       create_time,
       update_time
from (
         select id,
                video_name,
                during_sec,
                video_status,
                video_size,
                version_id,
                chapter_id,
                course_id,
                publisher_id,
                create_time,
                update_time
         from ${APP}.ods_video_info_full
         where dt = '$do_date' and deleted = '0'
     ) vt
         join
     (
         select id,
                chapter_name,
                is_free
         from ${APP}.ods_chapter_info_full
         where dt = '$do_date'
     ) cht
     on vt.chapter_id = cht.id;"

dim_paper_full="
insert overwrite table ${APP}.dim_paper_full partition (dt = '$do_date')
select t1.id,
       paper_title,
       course_id,
       create_time,
       update_time,
       publisher_id,
       questions
from ${APP}.ods_test_paper_full t1
         left join
     (
         select paper_id,
                 collect_set(named_struct('question_id', question_id, 'score', score)) questions
         from ${APP}.ods_test_paper_question_full
         where deleted = '0' and dt = '$do_date'
         group by paper_id
     ) t2
     on t1.id = t2.paper_id
where t1.deleted = '0' and t1.dt = '$do_date';"

dim_source_full="
insert overwrite table ${APP}.dim_source_full partition (dt = '$do_date')
select id,
       source_site
from ${APP}.ods_base_source_full obsf
where dt = '$do_date';"

dim_question_full="
insert overwrite table ${APP}.dim_question_full
    partition (dt = '$do_date')
select id,
       chapter_id,
       course_id,
       question_type,
       create_time,
       update_time,
       publisher_id
from ${APP}.ods_test_question_info_full
where deleted = '0'
  and dt = '$do_date';"

dim_province_full="
insert overwrite table ${APP}.dim_province_full partition (dt = '$do_date')
select id,
       name,
       region_id,
       area_code,
       iso_code,
       iso_3166_2
from ${APP}.ods_base_province_full
where dt = '$do_date';"

dim_user_zip="
set hive.exec.dynamic.partition.mode=nonstrict;
insert overwrite table ${APP}.dim_user_zip 
partition(dt)
select
    id,
    login_name,
    nick_name,
    real_name,
    phone_num,
    email,
    user_level,
    birthday,
    gender,
    create_time,
    operate_time,
    status,
    start_date,
    if(rn=1,'9999-12-31',date_sub('$do_date',1)) end_date,
    if(rn=1,'9999-12-31',date_sub('$do_date',1)) dt
from
(
    select
        id,
        login_name,
        nick_name,
        real_name,
        phone_num,
        email,
        user_level,
        birthday,
        gender,
        create_time,
        operate_time,
        status,
        start_date,
        end_date,
        row_number() over (partition by id order by start_date desc) rn
    from
    (
        select
            id,
            login_name,
            nick_name,
            real_name,
            phone_num,
            email,
            user_level,
            birthday,
            gender,
            create_time,
            operate_time,
            status,
            start_date,
            end_date
        from ${APP}.dim_user_zip
        where dt='9999-12-31'
        union
        select
            id,
            login_name,
            nick_name,
            real_name,
            phone_num,
            email,
            user_level,
            birthday,
            gender,
            create_time,
            operate_time,
            status,
            '2020-02-22' start_date,
            '9999-12-31' end_date
        from
        (
            select
                data.id,
                data.login_name,
                data.nick_name,
                md5(data.real_name) real_name,
                md5(if(data.phone_num regexp '^(13[0-9]|14[01456879]|15[0-35-9]|16[2567]|17[0-8]|18[0-9]|19[0-35-9])\\d{8}$',data.phone_num,null)) phone_num,
                md5(if(data.email regexp '^[a-zA-Z0-9_-]+@[a-zA-Z0-9_-]+(\\.[a-zA-Z0-9_-]+)+$',data.email,null)) email,
                data.user_level,
                data.birthday,
                data.gender,
                data.create_time,
                data.operate_time,
                data.status,
                row_number() over (partition by data.id order by ts desc) rn
            from ${APP}.ods_user_info_inc
            where dt='$do_date'
        )t1
        where rn=1
    )t2
)t3;"

case $1 in
    dim_chapter_full|dim_course_full|dim_video_full|dim_paper_full|dim_source_full|dim_question_full|dim_province_full|dim_user_zip)
        eval "hive -e \"\$$1\""
    ;;
    "all" )
        hive -e "${dim_chapter_full}${dim_course_full}${dim_video_full}${dim_paper_full}${dim_source_full}${dim_question_full}${dim_province_full}${dim_user_zip}"
    ;;
esac