Facilitating the Industrial Internet of Things and the Service Domain of Industrial Big Data: Implementation of Installation Theme Analysis [27]

09: Service Domain: Install Topic Analysis Implementation

  • Goal : Master the requirements analysis and implementation of the installation theme

  • path

    • step1: Requirements
    • step2: Analysis
    • step3: Realize
  • implement

    • Requirement : Count the results of installation theme indicators in different dimensions

      image-20211004101636246

    • analyze

      • Metrics : Number of installs, amount paid

      • dimension

        • installation method
        • Date dimensions: day, week, month
        • Gas station dimensions: type, province, city, region
        • Customer dimension: type, province
      • data

        • fact sheet

          • fact_srv_install: install transaction fact table

            select
                inst_id, --安装单id
                inst_type_id, --安装方式id 1-设备安装,2-设备联调
                exp_device_money, --安装费用
                dt,--日期
            os_id --油站id
            from one_make_dwb.fact_srv_install;
            
      • dimension table

        • dim_oilstation: oil station dimension table

          select
              id,--油站id
              company_name,--公司名称
              province_name,--省份名称
              city_name,--城市名称
              county_name,--区域名称
              customer_classify_name,--客户名称
            customer_province_name--客户省份
          from dim_oilstation;
          
          • dim_date: time dimension table

            select
                date_id,--天
                week_in_year_id,--周
              year_month_id --月
            from dim_date;
            

            image-20211013104333958

    • accomplish

      • build table

        create table if not exists one_make_st.subj_install(
            install_way string comment '安装方式'
            ,install_sum bigint comment '安装数量'
            ,sum_money int comment '支付费用'
            ,dws_day string comment '日期维度-按天'
            ,dws_week string comment '日期维度-按周'
            ,dws_month string comment '日期维度-按月'
            ,oil_type string comment '油站维度-油站类型'
            ,oil_province string comment '油站维度-油站所属省'
            ,oil_city string comment '油站维度-油站所属市'
            ,oil_county string comment '油站维度-油站所属区'
            ,customer_classify string comment '客户维度-客户类型'
            ,customer_province string comment '客户维度-客户所属省'
        ) comment '安装主题表'
        partitioned by (month string, week string, day string)
        stored as orc
        location '/data/dw/st/one_make/subj_install';
        
  • Construct

    insert overwrite table one_make_st.subj_install partition(month = '202101', week='2021W1', day='20210101')
      select
      	--安装方式
          max(case when install.inst_type_id = 1 then '设备安装' when install.inst_type_id = 2 then '设备联调' else '未知' end) install_way
          , count(install.inst_id) install_sum                                     --安装数量
      	, sum(install.exp_device_money) sum_money            					 --支付金额
          , dd.date_id dws_day                                                     --日期天
          , dd.week_in_year_id dws_week                                            --日期周
          , dd.year_month_id dws_month                                             --日期月
          , dimoil.company_name oil_type                                           --油站类型
          , dimoil.province_name oil_province                                      --油站省份
          , dimoil.city_name oil_city                                              --油站城市
          , dimoil.county_name oil_county                                          --油站地区
          , dimoil.customer_classify_name customer_classify                        --客户类型
          , dimoil.customer_province_name customer_province                        --客户省份
      --安装事务事实表
      from one_make_dwb.fact_srv_install install
      --关联日期维度表
      left join one_make_dws.dim_date dd on install.dt = dd.date_id
      --关联油站维度表
      left join one_make_dws.dim_oilstation dimoil on install.os_id = dimoil.id
      where dd.year_month_id = '202101' and dd.week_in_year_id = '2021W1' and dd.date_id = '20210101'
      --按照维度分组
      group by
          inst_type_id,
          dd.date_id, dd.week_in_year_id, dd.year_month_id,
          dimoil.company_name, dimoil.province_name, dimoil.city_name, dimoil.county_name,
          dimoil.customer_classify_name, dimoil.customer_province_name
      ;
    
  • summary

    • Master the requirements analysis and implementation of the installation theme

10: Service Domain: Implementation of Maintenance Theme Analysis

  • Goal : Master the requirements analysis and realization of maintenance topics

  • path

    • step1: Requirements
    • step2: Analysis
    • step3: Realize
  • implement

    • Requirements : Statistics of the results of maintenance subject indicators in different dimensions

      image-20211004103548816

    • analyze

      • index

        • Payment fees, labor costs, parts costs, transportation costs
        • Total number of failures, maximum number, average number
      • dimension

        • Date dimensions: day, week, month
        • Gas station dimensions: type, province, city, region
        • Customer dimension: type, province
        • logistics company
      • data

        • fact sheet

          • fact_srv_repair: repair transaction fact table

            select
                hour_money,--工时费用
                parts_money,--配件物料费用
                fars_money,--交通费用
                fault_type_ids, --故障id集合
                dt,--日期
                os_id,--油站id
              ss_id --服务网点id
            from fact_srv_repair;
            
        • fact_srv_stn_ma: Fact table of outlet material transaction

          select
            ss_id,--服务网点id
            logi_cmp_id --物流公司id
          from fact_srv_stn_ma;
          
      • dimension table

        • dim_oilstation: oil station dimension table

          select
              id,--油站id
              company_name,--公司名称
              province_name,--省份名称
              city_name,--城市名称
              county_name,--区域名称
              customer_classify_name,--客户名称
            customer_province_name--客户省份
          from dim_oilstation;
          
        • dim_date: time dimension table

          select
              date_id,--天
              week_in_year_id,--周
            year_month_id --月
          from dim_date;
          
        • dim_logistics: logistics dimension table

          select 
            type_id,  --物流公司id
          type_name --物流公司名称
          from one_make_dws.dim_logistics where prop_name = '物流公司';
          
    • accomplish

      • build table

        drop table if exists one_make_st.subj_repair;
        create table if not exists one_make_st.subj_repair(
            sum_pay_money decimal(20,1) comment '支付费用'
            ,sum_hour_money decimal(20,1) comment '小时费用'
            ,sum_parts_money decimal(20,1) comment '零部件费用'
            ,sum_fars_money decimal(20,1) comment '交通费用'
            ,sum_faulttype_num bigint comment '故障类型总数'
            ,max_faulttype_num int comment '故障类型最大数量'
            ,avg_faulttype_num int comment '故障类型平均数量'
            ,dws_day string comment '日期维度-按天'
            ,dws_week string comment '日期维度-按周'
            ,dws_month string comment '日期维度-按月'
            ,oil_type string comment '油站维度-油站类型'
            ,oil_province string comment '油站维度-油站所属省'
            ,oil_city string comment '油站维度-油站所属市'
            ,oil_county string comment '油站维度-油站所属区'
            ,customer_classify string comment '客户维度-客户类型'
            ,customer_province string comment '客户维度-客户所属省'
            ,logi_company string comment '物流公司维度-物流公司名称'
        ) comment '维修主题表'
        partitioned by (month String, week String, day String)
        stored as orc
        location '/data/dw/st/one_make/subj_repair';
        
  • Construct

    insert overwrite table one_make_st.subj_repair partition(month = '202101', week='2021W1', day='20210101')
      select
          sum(pay_money) sum_pay_money, 				--支付费用
      	sum(hour_money) sum_hour_money,             --工时费用
          sum(parts_money) sum_parts_money,           --物料费用
      	sum(fars_money) sum_fars_money,             --交通费用
          sum(fault_type_num) sum_faulttype_num,      --故障类型总数
      	max(fault_type_num) max_faulttype_num,      --最大故障数量
          avg(fault_type_num) avg_faulttype_num,      --平均故障数量
      	dws_day,                                    --日期天
      	dws_week,                                   --日期周
      	dws_month,                                  --日期月
      	oil_type,                                   --油站类型
          oil_province,                               --油站省份
      	oil_city,                                   --油站城市
      	oil_county,                                 --油站区域
      	customer_classify,                          --客户类型
      	customer_province,                          --客户省份
      	logi_company                                --物流公司
      from (
      	   select
      		   (hour_money + parts_money+fars_money) pay_money,
      		   hour_money,
      		   parts_money,
      		   fars_money,
      		   case when (size(split(fault_type_ids, ','))) <= 0 then 0 else (size(split(fault_type_ids, ','))) end fault_type_num,
      		   dd.date_id dws_day,
      		   dd.week_in_year_id dws_week,
      		   dd.year_month_id dws_month,
      		   dimoil.company_name oil_type,
      		   dimoil.province_name oil_province,
      		   dimoil.city_name oil_city,
      		   dimoil.county_name oil_county,
      		   dimoil.customer_classify_name customer_classify,
      		   dimoil.customer_province_name customer_province,
      		   type_name logi_company
      	   --维修事务事实表
      	   from one_make_dwb.fact_srv_repair repair
      	   --关联日期维度表
      	   left join one_make_dws.dim_date dd on repair.dt = dd.date_id
      	   --关联油站维度表
      	   left join one_make_dws.dim_oilstation dimoil on repair.os_id = dimoil.id
      	   --关联网点物料事实表:获取物流公司id
      	   left join one_make_dwb.fact_srv_stn_ma fssm on repair.ss_id = fssm.ss_id
      	   --关联物流维度表:获取物流公司名称
      	   left join (
      					select type_id, type_name from one_make_dws.dim_logistics where prop_name = '物流公司'
      	              ) dl on fssm.logi_cmp_id = dl.type_id
      	   where dd.year_month_id = '202101'and dd.week_in_year_id = '2021W1' and  dd.date_id = '20210101' and exp_rpr_num = 1
      	  ) repair_tmp
      group by dws_day, dws_week, dws_month, oil_type, oil_province, oil_city, oil_county,customer_classify, customer_province,logi_company;
    
  • summary

    • Master the requirements analysis and realization of maintenance topics

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Origin blog.csdn.net/xianyu120/article/details/132062779
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