new file: 01 dm_tf_external_sales.sql
new file: 02 dm_td_external_keycompatitor.sql new file: 03 dm_td_external_brand_market.sql new file: 04 dm_td_external_calendar.sql new file: 05 dm_td_external_exchangerate.sql new file: 07 dm_td_external_packinfo.sql new file: 08 dm_td_external_corp.sql new file: 09 dm_td_external_geo_type.sql new file: 11 DM_TD_EXTERNAL_MARKET_NEW.sql new file: 12 dm_td_external_org.sql new file: 13 external auth.sql new file: 14 dm_tf_external_retail_special_bkp.sql new file: AIA/01 dm_aia_pack_property.sql new file: AIA/02 dm_ext_aia_sales.sql new file: AIA/02 dm_ext_aia_sales_bakup_20230327.sql new file: AIA/03 dm_aia_flag.sql new file: AIA/04 dm_aia_provided_flag.sql new file: AIA/06 DM_TD_EXT_AIA_PACK_PROPERTY.sql new file: AIA/07 DM_TD_EXT_AIA_PACK2MARKET.sql new file: AIA/08 DM_TD_EXT_AIA_MARKET_RATIO.sql new file: AIA/09 DM_TD_EXT_AIA_MARKET_BRAND_RATIO.sql new file: AIA/10 DM_TD_EXT_AIA_MARKET_PACK_MAPPING.sql new file: AIA/11 DM_TD_EXT_AIA_TARGET_INST.sql new file: AIA/11 dm_aia_targethp_flag.sql new file: "AIA/z_03 dm_aia_flag_\345\244\207\344\273\275\347\224\250.sql" new file: CHC/01 dm_chc_pack_property.sql new file: CHC/02 DM_TF_EXT_CHC_SALES.sql new file: CHC/03 DM_TD_EXT_CHC_PACK_PROPERTY.sql new file: CHC/04 DM_TD_EXT_CHC_PACK2MARKET.sql new file: CHC/05 DM_TD_EXT_CHC_MARKET_RATIO.sql new file: CHC/06 DM_TD_EXT_CHC_MARKET_BRAND_RATIO.sql new file: CHC/07 DM_TD_EXT_CHC_MARKET_PACK_MAPPING.sql new file: CHPA/01 dwd_ims_atc_hierarchy.sql new file: CHPA/01 dwd_ims_nfc_hierarchy.sql new file: CHPA/01 dwd_ims_td_manufacturer_corp.sql new file: CHPA/01 dwd_ims_td_pack_property.sql new file: CHPA/01 dwd_update.sql new file: CHPA/01_FB_BLOB_TO_DWD.sql new file: CHPA/02 DWS_IMS_TD_GEO.sql new file: CHPA/02 dws_ims_td_atc_cn.sql new file: CHPA/02 dws_ims_td_corp_cn.sql new file: CHPA/02 dws_ims_td_date.sql new file: CHPA/02 dws_ims_td_manu_cn.sql new file: CHPA/02 dws_ims_td_market.sql new file: CHPA/02 dws_ims_td_market_ta.sql new file: CHPA/02 dws_ims_td_nfc_cn.sql new file: CHPA/02 dws_ims_td_prod_cn.sql new file: CHPA/02 tmp_ims_td_prod_tmp.sql new file: CHPA/02 tmp_ims_tf_fact_sales.sql new file: CHPA/03 DM_TD_EXT_CHPA_MARKET_BRAND_RATIO.sql new file: CHPA/03 DM_TD_EXT_CHPA_MARKET_PACK_MAPPING.sql new file: CHPA/03 DM_TD_EXT_CHPA_MARKET_RATIO.sql new file: CHPA/03 DM_TD_EXT_CHPA_PACK2MARKET.sql new file: CHPA/03 DM_TD_EXT_CHPA_PACK_PROPERTY.sql new file: CHPA/03 DM_TF_EXT_CHPA_SALES.sql new file: CHPA/03 dm_ims_td_calendar.sql new file: CHPA/03 dm_ims_td_geo.sql new file: CHPA/03 dm_ims_td_market_property.sql new file: CHPA/03 dm_ims_td_org.sql new file: CHPA/03 dm_ims_td_org_hvh.sql new file: CHPA/03 dm_ims_td_pack_property.sql new file: CHPA/03 dm_ims_tf_sales.sql new file: CHPA/03 dm_td_chpa_market_definition.sql new file: CHPA/03 dm_td_ims_city_mapping.sql new file: EC/03 ec_load_data.sql new file: EC/04 DM_TD_EXT_EC_PACK_PROPERTY.sql new file: EC/05 DM_TF_EXT_EC_SALES.sql new file: EC/06 DM_TD_EXT_EC_PACK2MARKET.sql new file: EC/07 DM_TD_EXT_EC_MARKET_RATIO.sql new file: EC/08 DM_TD_EXT_EC_MARKET_BRAND_RATIO.sql new file: EC/09 DM_TD_EXT_EC_MARKET_PACK_MAPPING.sql new file: EC/1 (ec)blob_to_dwd.sql new file: EC/2 dwd_inc_gnd_ext_ec_nationnal_pack_union_all.py new file: Merged_Data/Merged_Data_Config_table_bkp.sql new file: Merged_Data/Merged_Data_Config_table_bymonth.sql new file: Merged_Data/dm_tf_exteranl_sales_merged_data_dtp_others_bkp.sql new file: Merged_Data/dm_tf_exteranl_sales_merged_data_dtp_others_bymonth_bkp.sql new file: ORG/DM_TD_EXT_AIA_ORG.sql new file: ORG/DM_TD_EXT_CHC_ORG.sql new file: ORG/DM_TD_EXT_CHPA_ORG.sql new file: ORG/DM_TD_EXT_COUNTY_ORG.sql new file: ORG/DM_TD_EXT_EC_ORG.sql new file: ORG/DM_TD_EXT_RETAIL_ORG.sql new file: ORG/DM_TD_EXT_THC_ORG.sql new file: ORG/DM_TD_EXT_XIEHE_ORG.sql new file: OTHERS/01 dm_td_report_url.sql new file: OTHERS/02 dws_ext_email_warning.sql new file: OTHERS/external_triggered_email.py new file: Retail/01 load_tmp_data.py new file: Retail/02 split_brand_data.py new file: Retail/03 split_pack_data.py new file: Retail/04 map_to_dws_table.py new file: Retail/05 load_dtp_temp_data.py new file: Retail/06 split_dtp_brand_data.py new file: Retail/07 split_dtp_pack_data.py new file: Retail/08 map_to_dtp_dws_table.py new file: Retail/09 dwd_inc_gnd_ext_retail_nataional.py new file: Retail/10 map_to_retail_dm_table.py new file: Retail/11 map_to_overview_dm_table.py new file: Retail/12 dws_tf_external_retail_dtp_special.sql new file: Retail/13 DM_TF_EXT_RETAIL_SALES.sql new file: Retail/14 DM_TF_EXT_RETAIL_DTP_SALES.sql new file: Retail/15 DM_TD_EXT_RETAIL_PACK_PROPERTY.sql new file: Retail/16 DM_TD_EXT_RETAIL_DTP_PACK_PROPERTY.sql new file: Retail/17 DM_TD_EXT_DTP_PACK2MARKET.sql new file: Retail/17 DM_TD_EXT_RETAIL_PACK2MARKET.sql new file: Retail/18 DM_TD_EXT_DTP_MARKET_RATIO.sql new file: Retail/18 DM_TD_EXT_RETAIL_MARKET_RATIO.sql new file: Retail/19 DM_TD_EXT_DTP_MARKET_BRAND_RATIO.sql new file: Retail/19 DM_TD_EXT_RETAIL_MARKET_BRAND_RATIO.sql new file: Retail/20 DM_TD_EXT_DTP_MARKET_PACK_MAPPING.sql new file: Retail/20 DM_TD_EXT_RETAIL_MARKET_PACK_MAPPING.sql new file: "Retail/z1 dwd_inc_gnd_ext_retail_nataional_\344\275\234\345\272\237.py" new file: "Retail/z2 retail_load_data_\344\275\234\345\272\237.sql" new file: "Retail/z3 retail_overview_data_\344\275\234\345\272\237.sql" new file: THC/01 dm_thc_pack_property.sql new file: THC/02 dm_ext_thc_sales.sql new file: THC/02 dm_ext_thc_sales_bakup_20260327.sql new file: THC/03 DM_TF_EXT_THC_MARKET_SALES_CHT.sql new file: THC/04 dm_tf_external_sales_thc.sql new file: THC/05 DM_TD_EXT_THC_PACK_PROPERTY.sql new file: THC/06 DM_TD_EXT_THC_PACK2MARKET.sql new file: THC/07 DM_TD_EXT_THC_MARKET_RATIO.sql new file: THC/08 DM_TD_EXT_THC_MARKET_BRAND_RATIO.sql new file: THC/09 DM_TD_EXT_THC_MARKET_PACK_MAPPING.sql new file: UNIONALL/DM_TD_EXT_UNIONALL_MARKET_PACK_MAPPING.sql new file: UNIONALL/DM_TD_EXT_UNIONALL_PACKINFO.sql new file: UNIONALL/DM_TF_EXT_UNIONALL_MARKET_SALES.sql new file: UNIONALL/DM_TF_EXT_UNIONALL_MARKET_SALES_v1.0.sql new file: UNIONALL/DM_TF_EXT_UNIONALL_SALES.sql new file: UNIONALL/DM_TF_EXT_UNIONALL_SALES_MAPPING.sql new file: UNIONALL/DM_TF_EXT_UNIONALL_SALES_MAPPING_NIAD.sql new file: XIEHE/01 xiehe_blob_to_dwd.py new file: XIEHE/02 dm_xiehe_pack_property.sql new file: XIEHE/03 dm_ext_xiehe_geo.sql new file: XIEHE/04 dm_ext_xiehe_sales.sql new file: XIEHE/05 dm_td_xiehe_core_dept.sql new file: XIEHE/06 DM_TF_EXT_XIEHE_SALES.sql new file: XIEHE/07 DM_TD_EXT_XIEHE_PACK_PROPERTY.sql new file: XIEHE/08 DM_TD_EXT_XIEHE_PACK2MARKET.sql new file: XIEHE/09 DM_TD_EXT_XIEHE_MARKET_RATIO.sql new file: XIEHE/10 DM_TD_EXT_XIEHE_MARKET_BRAND_RATIO.sql new file: XIEHE/11 DM_TD_EXT_XIEHE_MARKET_PACK_MAPPING.sql new file: XIEHE/bkp_01 xiehe_blob2dwd.py new file: XIEHE/bkp_02 dm_ext_xiehe_sales.sql new file: XIEHE/bkp_03 dm_ext_xiehe_pack_property.sql new file: county/01 tmp_ims_county_fact_sales_sum.sql new file: county/02 tmp_imscounty_Result.sql new file: county/03 dm_ims_td_county_geo.sql new file: county/04 dws_ext_county_tf_sales.sql new file: county/05 dm_ext_county_td_pack_property.sql new file: county/06 dm_td_county_pack_region.sql new file: county/07 dm_ext_county_tf_sales_region.sql new file: county/08 DM_TD_EXT_COUNTY_PACK_PROPERTY.sql new file: county/09 DM_TF_EXT_COUNTY_SALES.sql new file: county/10 DM_TD_EXT_COUNTY_PACK2MARKET.sql new file: county/11 DM_TD_EXT_COUNTY_MARKET_RATIO.sql new file: county/12 DM_TD_EXT_COUNTY_MARKET_BRAND_RATIO.sql new file: county/13 DM_TD_EXT_COUNTY_MARKET_PACK_MAPPING.sql new file: for_AIA_Dashboard/01 dm_td_aia_inst_mkt.sql new file: for_AIA_Dashboard/02 dm_td_aia_auth_sales.sql new file: for_AIA_Dashboard/03 dm_td_aia_original_col.sql new file: for_AIA_Dashboard/04 dm_td_aia_nosales_inst.sql new file: for_AIA_Dashboard/05 dm_td_aia_is_eagle_flag.sql new file: for_AIA_Dashboard/06 dm_td_aia_rank.sql new file: for_AIA_Dashboard/07 dm_ext_aia_data_remove_flag.sql new file: for_AIA_Dashboard/07 dm_td_aia_remove_special_ins_bkp.py new file: for_AIA_Dashboard/08 dm_ext_aia_data_quality_flag.sql new file: z 01 dm_tf_external_sales.sql new file: "z 10 dm_td_external_market_pack_mapping_\344\275\234\345\272\237.sql" new file: "z 11 dm_td_external_market_\344\275\234\345\272\237.sql" new file: "\344\270\212\347\272\277\350\204\232\346\234\254.sql" new file: "\346\225\260\346\215\256\351\252\214\350\257\201.sql"
This commit is contained in:
178
THC/02 dm_ext_thc_sales_bakup_20260327.sql
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178
THC/02 dm_ext_thc_sales_bakup_20260327.sql
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-- Databricks notebook source
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-- create table dm.dm_ext_thc_sales
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-- (
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-- yyyymm STRING,
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-- audit_cod STRING,
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-- pack_cod STRING,
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-- corp_cod STRING,
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-- sales_value_cal decimal(38,10),
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-- sales_unit_cal decimal(38,10),
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-- counting_unit decimal(38,10),
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-- sales_value_cal_ly decimal(38,10),
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-- sales_unit_cal_ly decimal(38,10),
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-- counting_unit_ly decimal(38,10)
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-- )
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-- using delta
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-- COMMAND ----------
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--------------------------------------------------------------------------
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--修改时间：20241106
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--修改人：Fanxujia
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--修改内容：
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--THC原本只有全国数据，现在增加14个省份的数据。
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--但是全国数据是半年提供一次，省份数据一个季度提供一次
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--目前需求是将季度数据放入模型，而全国数据单独成一个事实表，供PBI单独展示
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--这里生成的事实表里全国和省份都包含了，在写入模型的时候用where条件筛选
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---------------------------------------------------------------------------
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--rawdata年月处理
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with thc_rawdata1 as (
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select case when right(yq,2) = 'Q1' then concat(left(yq,4),'03')
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when right(yq,2) = 'Q2' then concat(left(yq,4),'06')
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when right(yq,2) = 'Q3' then concat(left(yq,4),'09')
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when right(yq,2) = 'Q4' then concat(left(yq,4),'12')
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else yq
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end as yyyymm,
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city_c,
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pack_cod,
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prod_cod,
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value,
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totalunit,
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countingunit
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from dwd.dwd_gnd_ext_thc_rawdata
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)
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--CHPA渠道对应的公司编码以及名称
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,chpa_corp as (
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select distinct
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PACK_COD,
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CORP_COD,
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CORP_DES
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from dm.dm_ims_td_pack_property
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)
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--从thc渠道的pack_property里取到对应的iqvia_pack_code、countingunit
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--然后corp_cod优先取CHPA渠道的
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,thc_corp as (
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select t1.pack_cod,
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t1.iqvia_pack_code,
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t1.countingunit,
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coalesce(t2.CORP_COD, t1.CORP_COD) as CORP_COD ,
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coalesce(t2.CORP_DES,t1.CORP_DES ) as CORP_DES
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from dwd.dwd_gnd_ext_thc_pack_property t1
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left join chpa_corp t2
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on t1.iqvia_pack_code = t2.PACK_COD
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)
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--编辑thc渠道的audit_cod
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--全国数据设置成CHT
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--省份数据使用公共的地理维表里的省份编码作为audit_cod
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,thc_geo as (
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select
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t1.city_c,
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t1.city_e,
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t1.province_c,
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t1.province_e,
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case when t1.province_c = '全国' then 'CHT'
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when t2.geo_key is null then t1.province_e
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else t2.geo_key
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end as AUDIT_COD
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from dwd.dwd_gnd_ext_thc_geo t1
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left join dm.dm_td_geography t2
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--THC最细到省，用省关联
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on t1.province_c = t2.province_name
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and t2.geo_key = t2.province_code
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)
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--将上面的rawdata、corp、audit信息合到一起
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,thc_rawdata2 as (
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select t1.yyyymm,
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t1.city_c,
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t1.pack_cod as pack_cod_old,
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t2.iqvia_pack_code as pack_cod,
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t2.CORP_COD,
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t3.AUDIT_COD,
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t1.prod_cod,
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t1.value,
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t1.totalunit,
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t1.totalunit * t2.countingunit as countingunit
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from thc_rawdata1 t1
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left join thc_corp t2
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on t1.pack_cod = t2.pack_cod
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left join thc_geo t3
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on t1.city_c = t3.city_c
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)
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--最大的月份，计算ly时会需要
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,max_thc_rawdata as (
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select max(cast(yyyymm as int)) as max_ym
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from thc_rawdata2
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)
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--计算ly
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,thc_rawdata3 as (
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select yyyymm,
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AUDIT_COD,
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pack_cod,
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CORP_COD,
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value,
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totalunit,
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countingunit,
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0 as value_ly,
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0 as totalunit_ly,
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0 as countingunit_ly
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from thc_rawdata2
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union all
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select cast(t1.yyyymm as int) + 100 as yyyymm,
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t1.AUDIT_COD,
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t1.pack_cod,
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t1.CORP_COD,
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0 as value,
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0 as totalunit,
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0 as countingunit,
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t1.value as value_ly,
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t1.totalunit as totalunit_ly,
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t1.countingunit as countingunit_ly
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from thc_rawdata2 t1
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cross join max_thc_rawdata t2
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where cast(t1.yyyymm as int) + 100 <= t2.max_ym
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)
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--按年月、audit_cod、pack_cod、Corp_cod汇总
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,thc_rawdata4 as (
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select yyyymm,
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AUDIT_COD,
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pack_cod,
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CORP_COD,
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sum(value) as SALES_VALUE_CAL,
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sum(totalunit) as SALES_UNIT_CAL,
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sum(countingunit) as COUNTING_UNIT,
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sum(value_ly) as SALES_VALUE_CAL_LY,
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sum(totalunit_ly) as SALES_UNIT_CAL_LY,
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sum(countingunit_ly) as COUNTING_UNIT_LY
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from thc_rawdata3
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group by yyyymm,
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AUDIT_COD,
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pack_cod,
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CORP_COD
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)
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insert overwrite table dm.dm_ext_thc_sales
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(
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yyyymm,
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AUDIT_COD,
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pack_cod,
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CORP_COD,
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SALES_VALUE_CAL,
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SALES_UNIT_CAL,
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COUNTING_UNIT,
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SALES_VALUE_CAL_LY,
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SALES_UNIT_CAL_LY,
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COUNTING_UNIT_LY
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)
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select yyyymm,
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AUDIT_COD,
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pack_cod,
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CORP_COD,
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SALES_VALUE_CAL,
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SALES_UNIT_CAL,
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COUNTING_UNIT,
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SALES_VALUE_CAL_LY,
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SALES_UNIT_CAL_LY,
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COUNTING_UNIT_LY
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from thc_rawdata4
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--取2018年之后的数
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where yyyymm >= '201801'
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Reference in New Issue
Block a user