81 lines
2.1 KiB
SQL
81 lines
2.1 KiB
SQL
-- Databricks notebook source
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insert overwrite table dws.dws_tf_external_retail_dtp_special
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with dim_geo as (
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SELECT
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AUDIT_COD
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,REGION_TYPE
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,PROVINCE_C
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FROM DM.DM_TD_EXTERNAL_GEO
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WHERE DATA_SOURCE = 'DTP(Quarterly)'
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GROUP BY 1,2,3
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)
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,all_data (--所有DTP BRAND 中的数据聚合
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select
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market
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,province_city
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,yyyymm
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,sum(sales_value) as sales_value
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,sum(sales_volume) as sales_volume
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,sum(pdot_counting_unit) as pdot_counting_unit
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from dwd.dwd_gnd_ext_dtp_zk_brand --数据来源表
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where type = '品类'
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and market = 'EGFR TKI'
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and zk_brand_category ='EGFR TKI Market'
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and ranked_by = 'value'
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group by 1,2,3
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)
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,not_quanguo_data as (--计算非全国部分
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select
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market
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,yyyymm
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,sum(sales_value) as sales_value
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,sum(sales_volume) as sales_volume
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,sum(pdot_counting_unit) as pdot_counting_unit
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from all_data
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where province_city <> '全国'
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group by 1,2
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)
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,roc_data as (--计算 roc部分的值 = 全国- 非全国合计
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select
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a.market
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,'ROC' as province_city
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,a.yyyymm
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,a.sales_value-b.sales_value as sales_value
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,a.sales_volume - b.sales_volume as sales_volume
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,a.pdot_counting_unit - b.pdot_counting_unit as pdot_counting_unit
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from all_data a
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left join not_quanguo_data b on a.market = b.market and a.yyyymm = b.yyyymm
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where a.province_city = '全国'
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)
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,all_data_with_roc as (--合并全部数据
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select
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market
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,province_city
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,yyyymm
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,sales_value
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,sales_volume
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,pdot_counting_unit
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from all_data where province_city <> '全国'
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union all
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select
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market
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,province_city
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,yyyymm
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,sales_value
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,sales_volume
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,pdot_counting_unit
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from roc_data
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)
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select
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a.market
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,a.province_city
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,concat(b.AUDIT_COD, 'DTP(Quarterly)', b.REGION_TYPE ) as audit_key --pbi dim_rc 关联键
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,concat(b.AUDIT_COD, 'DTP(Quarterly)' ) audit_source --pbi dim_geo 关联键
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,concat(left(a.yyyymm,4),'-',right(a.yyyymm,2),'-01') date_key --pbi dim_date 关联键
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,a.yyyymm
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,a.sales_value
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,a.sales_volume
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,a.pdot_counting_unit
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from all_data_with_roc a
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left join dim_geo b on a.province_city = b.PROVINCE_C |