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尚硅谷大数据项目《在线教育之离线数仓》笔记006

news 2025/8/3 7:33:09

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11章 数仓开发之ADS层

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第11章 数仓开发之ADS层

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第11章 数仓开发之ADS层

11.1 流量主题

11.1.1 各来源流量统计

[atguigu@node001 ~]$ nohup /opt/module/hive/hive-3.1.2/bin/hive &

[atguigu@node001 ~]$ nohup /opt/module/hive/hive-3.1.2/bin/hive --service hiveserver2 &

[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]$ 
[atguigu@node001 ~]$ nohup /opt/module/hive/hive-3.1.2/bin/hive &
[1] 3815
[atguigu@node001 ~]$ nohup: 忽略输入并把输出追加到"nohup.out"[atguigu@node001 ~]$ 
[atguigu@node001 ~]$ jpsall
================ node001 ================
2848 NameNode
3634 JobHistoryServer
3014 DataNode
3815 RunJar
3933 Jps
3422 NodeManager
================ node002 ================
2113 NodeManager
2531 Jps
1989 ResourceManager
1783 DataNode
================ node003 ================
1908 SecondaryNameNode
2055 NodeManager
2270 Jps
1823 DataNode
[atguigu@node001 ~]$ 
[atguigu@node001 ~]$ nohup /opt/module/hive/hive-3.1.2/bin/hive --service hiveserver2 &
[2] 4038
[atguigu@node001 ~]$ nohup: 忽略输入并把输出追加到"nohup.out"[atguigu@node001 ~]$ 
[atguigu@node001 ~]$ jpsall
================ node001 ================
2848 NameNode
4225 Jps
3634 JobHistoryServer
4038 RunJar
3014 DataNode
3815 RunJar
3422 NodeManager
================ node002 ================
2113 NodeManager
1989 ResourceManager
1783 DataNode
2591 Jps
================ node003 ================
1908 SecondaryNameNode
2055 NodeManager
2334 Jps
1823 DataNode
[atguigu@node001 ~]$

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11.1.2 路径分析

桑基图

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11.1.3 各来源下单统计

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11.2 用户主题

11.2.1 用户变动统计

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11.2.2 用户留存率

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11.2.3 用户新增活跃统计

[2023-09-04 10:04:35] 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 1af1be50-bc68-46e3-a27f-ff9bf04c44c0

[atguigu@node001 ~]$ cd /opt/module/hive/hive-3.1.2/
[atguigu@node001 hive-3.1.2]$ bin/hivehive (default)> set hive.spark.client.server.connect.timeout=300000ms;
2023-09-04 10:14:03,044 INFO  [fd295ca1-5b9b-4f12-bcff-c5db47bee932 main] conf.HiveConf (HiveConf.java:getLogIdVar(5040)) - Using the default value passed in for log id: fd295ca1-5b9b-4f12-bcff-c5db47bee932
Query returned non-zero code: 1, cause: Cannot modify hive.spark.client.server.connect.timeout at runtime. It is in the list of parameters that can't be modified at runtime or is prefixed by a restricted variable
2023-09-04 10:14:03,091 INFO  [fd295ca1-5b9b-4f12-bcff-c5db47bee932 main] conf.HiveConf (HiveConf.java:getLogIdVar(5040)) - Using the default value passed in for log id: fd295ca1-5b9b-4f12-bcff-c5db47bee932
2023-09-04 10:14:03,091 INFO  [fd295ca1-5b9b-4f12-bcff-c5db47bee932 main] session.SessionState (SessionState.java:resetThreadName(452)) - Resetting thread name to  main
hive (default)> 
set hive.spark.client.server.connect.timeout=300000ms;

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11.2.4 用户行为漏斗分析

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11.2.5 新增交易用户统计

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11.2.6 各年龄段下单用户数

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11.3 商品主题

11.3.1 各分类课程交易统计

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11.3.3 各课程交易统计

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11.3.4 各课程评价统计

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11.3.5 各分类课程试听留存统计

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11.3.6 各学科试听留存统计

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11.4 交易主题

11.4.1 交易综合统计

11.4.2 各省份交易统计

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11.5 考试主题

11.5.1 各试卷平均统计

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11.5.2 各课程考试相关指标统计

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11.5.3 各试卷成绩分布

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11.5.4 各题正确率

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11.6 播放主题

11.6.1 各章节视频播放情况统计

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11.6.2 各课程视频播放情况统计

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11.7 完课主题

11.7.1 各课程完课人数统计

-- 11.7 完课主题
-- 11.7.1 各课程完课人数统计
-- 1）建表语句
DROP TABLE IF EXISTS ads_complete_complete_user_count_per_course;
CREATE EXTERNAL TABLE ads_complete_complete_user_count_per_course
(`dt`          STRING COMMENT '统计日期',`recent_days` BIGINT COMMENT '最近天数,1:最近1天,7:最近7天,30:最近30天',`course_id`   STRING COMMENT '课程 id',`user_count`  BIGINT COMMENT '完课人数'
) COMMENT '各课程完课人数'ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'LOCATION '/warehouse/edu/ads/ads_complete_complete_user_count_per_course/';-- 2）数据装载
-- 统计用户对应一个课程完成多少个章节
insert overwrite table edu2077.ads_complete_complete_user_count_per_course
select dt,recent_days,course_id,user_count
from edu2077.ads_complete_complete_user_count_per_course
union
select '2022-02-21'   dt,recent_days,course_id,count(user_id) order_count
from (select course_id,id,user_id,max_chapter_complete_datefrom (select course_id,user_id,max(first_complete_date)   max_chapter_complete_date,count(first_complete_date) user_chapter_complete_countfrom edu2077.dwd_learn_play_stats_fullwhere dt = '2022-02-21'group by course_id, user_id) chapter_completeleft join(select id,chapter_numfrom edu2077.dim_course_fullwhere dt = '2022-02-21') dim_courseon chapter_complete.course_id = dim_course.idwhere user_chapter_complete_count = chapter_num) course_completelateral view explode(array(1, 7, 30)) tmp as recent_days
where max_chapter_complete_date >= date_add('2022-02-21', -recent_days + 1)
group by recent_days, course_id;select * from ads_complete_complete_user_count_per_course;insert overwrite table edu2077.ads_complete_complete_user_count_per_course
select *
from edu2077.ads_complete_complete_user_count_per_course
union
select '2022-02-21'   dt,recent_days,course_id,count(user_id) user_conunt
from (-- 完整的用户数据select course_id,user_id,first_complete_datefrom (-- 统计用户对应一个课程完成多少个章节select course_id,user_id,max(first_complete_date)   first_complete_date,count(first_complete_date) user_complete_numsfrom dwd_learn_play_stats_fullwhere dt = '2022-02-21'group by course_id, user_id) t1left join (-- 统计课程一共有多少章节select id,chapter_numfrom dim_course_fullwhere dt = '2022-02-21') t2on t1.course_id = t2.id and user_complete_nums = chapter_num) t3 lateral view explode(array(1, 7, 30)) tmp as recent_days
where first_complete_date <= '2022-02-21'and first_complete_date >= date_sub('2022-02-21', recent_days - 1)
group by recent_days, course_id;select * from ads_complete_complete_user_count_per_course;

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11.7.2 完课综合指标

-- 11.7.2 完课综合指标
-- 1）建表语句
DROP TABLE IF EXISTS ads_complete_complete_stats;
CREATE EXTERNAL TABLE ads_complete_complete_stats
(`dt`                         STRING COMMENT '统计日期',`recent_days`                BIGINT COMMENT '最近天数,1:最近1天,7:最近7天,30:最近30天',`user_complete_count`        BIGINT COMMENT '完课人数',`user_course_complete_count` BIGINT COMMENT '完课人次'
) COMMENT '完课综合指标'ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'LOCATION '/warehouse/edu/ads/ads_complete_complete_stats/';-- 2）数据装载
insert overwrite table edu2077.ads_complete_complete_stats
select dt,recent_days,user_complete_count,user_course_complete_count
from edu2077.ads_complete_complete_stats
union
select '2022-02-21'            dt,recent_days,count(distinct user_id) user_complete_count,count(*)                user_course_complete_count
from (select course_id,id,user_id,max_chapter_complete_datefrom (select course_id,user_id,max(first_complete_date)   max_chapter_complete_date,count(first_complete_date) user_chapter_complete_countfrom edu2077.dwd_learn_play_stats_fullwhere dt = '2022-02-21'group by course_id, user_id) chapter_completeleft join(select id,chapter_numfrom edu2077.dim_course_fullwhere dt = '2022-02-21') dim_courseon chapter_complete.course_id = dim_course.idwhere user_chapter_complete_count = chapter_num) course_completelateral view explode(array(1, 7, 30)) tmp as recent_days
where max_chapter_complete_date >= date_add('2022-02-21', -recent_days + 1)
group by recent_days;select * from ads_complete_complete_stats;insert overwrite table edu2077.ads_complete_complete_stats
select dt,recent_days,user_complete_count,user_course_complete_count
from edu2077.ads_complete_complete_stats
union
select '2022-02-21'            dt,recent_days,count(distinct user_id) user_complete_count,count(*)                user_course_complete_count
from (-- 完整的用户数据select course_id,user_id,first_complete_datefrom (-- 统计用户对应一个课程完成多少个章节select course_id,user_id,max(first_complete_date)   first_complete_date,count(first_complete_date) user_complete_numsfrom dwd_learn_play_stats_fullwhere dt = '2022-02-21'group by course_id, user_id) t1left join (-- 统计课程一共有多少章节select id,chapter_numfrom dim_course_fullwhere dt = '2022-02-21') t2on t1.course_id = t2.id and user_complete_nums = chapter_num) t3 lateral view explode(array(1, 7, 30)) tmp as recent_days
where first_complete_date <= '2022-02-21'and first_complete_date >= date_sub('2022-02-21', recent_days - 1)
group by recent_days;select * from ads_complete_complete_stats;

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11.7.3 各个课程人均完成章节数

-- 11.7.3 各个课程人均完成章节数
-- 1）建表语句
DROP TABLE IF EXISTS ads_complete_complete_chapter_count_per_course;
CREATE EXTERNAL TABLE ads_complete_complete_chapter_count_per_course
(`dt`                     STRING COMMENT '统计日期',`recent_days`            BIGINT COMMENT '最近天数,1:最近1天,7:最近7天,30:最近30天',`course_id`              STRING COMMENT '课程 id',`complete_chapter_count` DECIMAL(16, 2) COMMENT '用户平均完成章节数'
) COMMENT '各课程人均完成章节视频数'ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'LOCATION '/warehouse/edu/ads/ads_complete_complete_chapter_count_per_course/';-- 2）数据装载
insert overwrite table edu2077.ads_complete_complete_chapter_count_per_course
select dt,recent_days,course_id,complete_chapter_count
from edu2077.ads_complete_complete_chapter_count_per_course
union
select '2022-02-21'                                         dt,recent_days,course_id,count(first_complete_date) / count(distinct user_id) complete_chapter_count
from edu2077.dwd_learn_play_stats_fulllateral view explode(array(1, 7, 30)) tmp as recent_days
where dt = '2022-02-21'and first_complete_date is not nulland first_complete_date >= date_add('2022-02-21', -recent_days + 1)
group by recent_days, course_id;select * from ads_complete_complete_chapter_count_per_course;insert overwrite table edu2077.ads_complete_complete_chapter_count_per_course
select *
from edu2077.ads_complete_complete_chapter_count_per_course
union
select '2022-02-21' dt,recent_days,course_id,cast(count(first_complete_date) / count(distinct user_id) as decimal(16, 2)) complete_chapter_count
from (-- 统计用户对应一个课程完成多少个章节-- 完成的章节数select user_id,course_id,max(first_complete_date)   first_complete_date,count(first_complete_date) user_complete_numsfrom dwd_learn_play_stats_fullwhere dt = '2022-02-21'group by user_id, course_id) t1 lateral view explode(array(1, 7, 30)) tmp as recent_days
group by recent_days, course_id;select * from ads_complete_complete_chapter_count_per_course;

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11.8 数据装载脚本

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