尚硅谷大数据项目《在线教育之离线数仓》笔记006

[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/hive
 
hive (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_date
      from (select course_id,
                   user_id,
                   max(first_complete_date)   max_chapter_complete_date,
                   count(first_complete_date) user_chapter_complete_count
            from edu2077.dwd_learn_play_stats_full
            where dt = '2022-02-21'
            group by course_id, user_id
           ) chapter_complete
               left join
           (select id,
                   chapter_num
            from edu2077.dim_course_full
            where dt = '2022-02-21') dim_course
           on chapter_complete.course_id = dim_course.id
      where user_chapter_complete_count = chapter_num
     ) course_complete
         lateral 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_date
         from (
                  -- 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_nums
                  from dwd_learn_play_stats_full
                  where dt = '2022-02-21'
                  group by course_id, user_id
              ) t1
                  left join (
             -- 统计课程一共有多少章节
             select id,
                    chapter_num
             from dim_course_full
             where dt = '2022-02-21'
         ) t2
                            on 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_date
      from (select course_id,
                   user_id,
                   max(first_complete_date)   max_chapter_complete_date,
                   count(first_complete_date) user_chapter_complete_count
            from edu2077.dwd_learn_play_stats_full
            where dt = '2022-02-21'
            group by course_id, user_id
           ) chapter_complete
               left join
           (select id,
                   chapter_num
            from edu2077.dim_course_full
            where dt = '2022-02-21') dim_course
           on chapter_complete.course_id = dim_course.id
      where user_chapter_complete_count = chapter_num
     ) course_complete
         lateral 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_date
         from (
                  -- 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_nums
                  from dwd_learn_play_stats_full
                  where dt = '2022-02-21'
                  group by course_id, user_id
              ) t1
                  left join (
             -- 统计课程一共有多少章节
             select id,
                    chapter_num
             from dim_course_full
             where dt = '2022-02-21'
         ) t2
                            on 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_full
         lateral view explode(array(1, 7, 30)) tmp as recent_days
where dt = '2022-02-21'
  and first_complete_date is not null
  and 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_nums
         from dwd_learn_play_stats_full
         where 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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原文地址：https://blog.csdn.net/weixin_44949135/article/details/132575874

尚硅谷大数据项目《在线教育之离线数仓》笔记006

第11章 数仓开发之ADS层

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第11章数仓开发之ADS层