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chenwu
2026-04-28 13:28:35 +08:00
parent 3284c5d938
commit 49b89352aa
293 changed files with 53784 additions and 83836 deletions
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11919
External All Channel.SemanticModel/definition/cultures/zh-CN.tmdl
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22
External All Channel.SemanticModel/definition/functions.tmdl Normal file
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@@ -0,0 +1,22 @@
function Switch_Unit_Value =
(unit, O_Value) =>
SWITCH(
unit,
"RMB", O_Value,
"K RMB", O_Value / 1000,
"M RMB", O_Value / 1000000,
"USD", DIVIDE(
O_Value,
[ExchangeRate]
),
"K USD", DIVIDE(
O_Value,
[ExchangeRate]
) / 1000,
"M USD", DIVIDE(
O_Value,
[ExchangeRate]
) / 1000000
)
lineageTag: 13dbea01-c9ee-4b9f-8d71-1d24e20fd595

8
External All Channel.SemanticModel/definition/model.tmdl
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@@ -66,7 +66,7 @@ queryGroup Dim
annotation __PBI_TimeIntelligenceEnabled = 0
annotation PBI_QueryOrder = ["Measure THC","Dim_PackInfo_Retail","Dim_MergeDataSource","Fact_Retail_Brand","Fact_Retail_RawData","Fact_EC_Total","Fact_Retail","Config_ReportURL","refresh_time","Dim_BrandMKT","Dim_Market_Total","Dim_MarketTA_Total","Dim_BrandDefaultMKT","Dim_Calendar","Dim_Corp","Dim_DataSource","Dim_Geo","Dim_PlatformMID","Dim_StoreTypeMID","Dim_GeoGroup","Dim_Market","Dim_MarketTA","Dim_Org","Dim_PackInfo","Dim_Platform","Dim_StoreType","Dim_ExchangRate","DM_AUTH_ORG","DM_AUTH_PRD","DM_AUTH_SALES_GEO","DM_AUTH_SALES_MKT","DM_AUTH_SALES_PACK","DM_AUTH_SALES_ORG","DM_AUTH_GEO","HttpPath","CatalogName","ServerAddress","limit_validity","UsingLimit","limit","TOP","Dim_PackInfo_Total","Dim_RegionType","Fact_Sales_SQL","Fact_Sales_SQL_limit","Fact_Sales_Total","Dim_Unit","dm_td_chpa_market_definition","Fact_Retail_Total","Fact_Sales_Total_AIA","Fact_EC","Dim_Class","Dim_HPFlag","Dim_HPFlag_AIASpecial","Dim_InsSalesType","Dim_InsSalesType_AIASpecial","Dim_IsTarget_AIASpecial","Dim_CoreDept","Dim_Dept","Dim_PrescriptionSource","Dim_Reimburse","Dim_ReimburseType","dm_auth_aia_sales_pack","dm_auth_aia_sales_geo","dm_auth_aia_sales_org","dm_auth_aia_sales_mkt","DM_AIA_TD_HOSPITAL_NOT_PROVIDED","Dim_Original_Col_AIA","Dim_HP_Potential_AIA","AIA.Measures","DM_AUTH_PRD_PACK","Fact_Retail_Special","AIA_AdvanceAnalysis_Brand","AIA_AdvanceAnalysis_Class","AIA_AdvanceAnalysis_Key_Competitor","AIA_AdvanceAnalysis_Mole","AIA_AdvanceAnalysis_Subchannel","AIA_AdvanceAnalysis_DRAGON","AIA_AdvanceAnalysis_Decile","AIA_AdvanceAnalysis_Decile_Group","Dim_IsEagle_AIASpecial","Dim_IsEagle_Bridge_AIASpecial","Dim_RC","Dim_Institution","DM_AUTH_SALES_TA","DM_AUTH_NONSALES_TA","DM_AUTH_MERGED_DATA","DM_AUTH_NONSALES_ORG","dm_td_user_permission_detail","Config_MarketRatio","Config_MergeData","Dim_RC_Merged_Data","Fact_AIA_DataQuality","DM_AUTH_EMAIL_NOTIFICATION","Config_EmailWarning","Dim_Remove_inst","Config_PageFlag_FreeReportNIAD","Config_VisualFlag","Fact_Sales_THC","Fact_Sales_NIAD","00_KPI","Dim_KeyCompetitor","Dim_Store","Dim_HP_Level"]
annotation PBI_QueryOrder = ["Measure THC","Dim_PackInfo_Retail","Dim_MergeDataSource","Fact_Retail_Brand","Fact_Retail_RawData","Fact_EC_Total","Fact_Retail","Config_ReportURL","refresh_time","Dim_BrandMKT","Dim_Market_Total","Dim_MarketTA_Total","Dim_BrandDefaultMKT","Dim_Calendar","Dim_Corp","Dim_DataSource","Dim_Geo","Dim_PlatformMID","Dim_StoreTypeMID","Dim_GeoGroup","Dim_Market","Dim_MarketTA","Dim_Org","Dim_PackInfo","Dim_Platform","Dim_StoreType","Dim_ExchangRate","DM_AUTH_ORG","DM_AUTH_PRD","DM_AUTH_SALES_GEO","DM_AUTH_SALES_MKT","DM_AUTH_SALES_PACK","DM_AUTH_SALES_ORG","DM_AUTH_GEO","HttpPath","CatalogName","ServerAddress","limit_validity","UsingLimit","limit","TOP","Dim_PackInfo_Total","Dim_RegionType","Fact_Sales_SQL","Fact_Sales_SQL_limit","Fact_Sales_Total","Dim_Unit","dm_td_chpa_market_definition","Fact_Retail_Total","Fact_Sales_Total_AIA","Fact_EC","Dim_Class","Dim_HPFlag","Dim_HPFlag_AIASpecial","Dim_InsSalesType","Dim_InsSalesType_AIASpecial","Dim_IsTarget_AIASpecial","Dim_CoreDept","Dim_Dept","Dim_PrescriptionSource","Dim_Reimburse","Dim_ReimburseType","dm_auth_aia_sales_pack","dm_auth_aia_sales_geo","dm_auth_aia_sales_org","dm_auth_aia_sales_mkt","DM_AIA_TD_HOSPITAL_NOT_PROVIDED","Dim_Original_Col_AIA","Dim_HP_Potential_AIA","AIA.Measures","DM_AUTH_PRD_PACK","AIA_AdvanceAnalysis_Brand","AIA_AdvanceAnalysis_Class","AIA_AdvanceAnalysis_Key_Competitor","AIA_AdvanceAnalysis_Mole","AIA_AdvanceAnalysis_Subchannel","AIA_AdvanceAnalysis_DRAGON","AIA_AdvanceAnalysis_Decile","AIA_AdvanceAnalysis_Decile_Group","Dim_IsEagle_AIASpecial","Dim_IsEagle_Bridge_AIASpecial","Dim_RC","Dim_Institution","DM_AUTH_SALES_TA","DM_AUTH_NONSALES_TA","DM_AUTH_MERGED_DATA","DM_AUTH_NONSALES_ORG","dm_td_user_permission_detail","Config_MarketRatio","Config_MergeData","Dim_RC_Merged_Data","Fact_AIA_DataQuality","DM_AUTH_EMAIL_NOTIFICATION","Config_EmailWarning","Dim_Remove_inst","Config_PageFlag_FreeReportNIAD","Config_VisualFlag","Fact_Sales_THC","Fact_Sales_NIAD","00_KPI","Dim_KeyCompetitor","Dim_Store","Dim_HP_Level","Fact_Direct_Retail_rx_market","Fact_Direct_Retail_rx_top_corp","Fact_Direct_Retail_national_corp_rank","Fact_Direct_Retail_national_prd_rank","Fact_Direct_Retail_region_corp_rank"]
annotation __TEdtr = 1
@@ -205,7 +205,6 @@ ref table dm_td_user_permission_detail
ref table 'Fields_CrossChannel5.2'
ref table Dim_DataSource_ForRLS
ref table Retail_Price_MQ_Fields
ref table Fact_Retail_Special
ref table Fields_TopPlayer_EN
ref table Fields_Leader_EN
ref table AIA_Calgroup
@@ -235,6 +234,11 @@ ref table Dim_KeyCompetitor
ref table 0_Measure_CalGroup
ref table Dim_Store
ref table Dim_HP_Level
ref table Fact_Direct_Retail_rx_market
ref table Fact_Direct_Retail_national_corp_rank
ref table Fact_Direct_Retail_national_prd_rank
ref table Fact_Direct_Retail_rx_top_corp
ref table Fact_Direct_Retail_region_corp_rank
ref role PI_BISO
ref role PI_ADMIN

25
External All Channel.SemanticModel/definition/relationships.tmdl
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@@ -288,25 +288,12 @@ relationship 2724b646-60c1-d1d3-0343-6ffbe6c685cb
fromColumn: Fact_Retail_RawData.DATA_SOURCE
toColumn: Dim_DataSource_ForRLS.DATA_SOURCE
relationship 1375fbc8-d685-530f-2d1e-434050110dee
fromColumn: Fact_Retail_Special.audit_key
toColumn: Dim_Geo.AUDIT_KEY
relationship a488d2d3-f82f-406d-5c4d-ac5fd735ebe3
fromColumn: Fact_Retail_Special.date_key
toColumn: Dim_Calendar.DATE
relationship 73477bd1-8615-2d4f-4a3d-99b57f53e812
isActive: false
toCardinality: many
fromColumn: Dim_BrandMKT.IS_HIDDEN_COUNTY
toColumn: Dim_RegionType.IS_HIDDEN_COUNTY
relationship 8f295e0b-4761-0abb-e005-51d8d5d2448f
toCardinality: many
fromColumn: Fact_Retail_Special.rc_key
toColumn: Dim_RC.rc_key
relationship e369a4e6-11ea-c7ed-9f2d-ea5ed1f6316b
crossFilteringBehavior: bothDirections
fromColumn: Dim_RC_Merged_Data.KEY
@@ -492,3 +479,15 @@ relationship f45c709b-4d1a-81fa-f81d-6079626c9a54
fromColumn: Fact_Sales_NIAD.STORE_TYPE_KEY
toColumn: Dim_StoreTypeMID.STORE_TYPE_SOURCE
relationship bb8ae86a-58a8-52d8-7a4f-5737b1146f77
fromColumn: Fact_Direct_Retail_rx_market.sales_quarter
toColumn: Dim_Calendar.YYYYMM
relationship d28149d7-9463-b4de-ea4c-81085f1c513b
fromColumn: Fact_Direct_Retail_national_corp_rank.sales_quarter_num
toColumn: Dim_Calendar.YYYYMM
relationship bb7d7eaf-bd77-e1d1-7c11-3c7b00ecdbef
fromColumn: Fact_Direct_Retail_rx_top_corp.yyyymm
toColumn: Dim_Calendar.YYYYMM

940
External All Channel.SemanticModel/definition/tables/00_KPI.tmdl
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2
External All Channel.SemanticModel/definition/tables/Dim_CorpType.tmdl
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@@ -13,7 +13,7 @@ table Dim_CorpType
column Value2
formatString: 0
lineageTag: 4ceee4f1-6bd8-4dc1-96fe-c6b217b82199
summarizeBy: sum
summarizeBy: none
isNameInferred
sourceColumn: [Value2]

161
External All Channel.SemanticModel/definition/tables/Fact_Direct_Retail_national_corp_rank.tmdl Normal file
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@@ -0,0 +1,161 @@
table Fact_Direct_Retail_national_corp_rank
lineageTag: 40ba891d-21b7-4ded-ac27-2847d846b960
column ta
dataType: string
lineageTag: 084c7c9e-f894-4b90-8054-8a15c1547f58
summarizeBy: none
sourceColumn: ta
annotation SummarizationSetBy = Automatic
column rx_otc
dataType: string
lineageTag: d3dd8860-ffd6-485c-a4e2-ae2bc7999d34
summarizeBy: none
sourceColumn: rx_otc
annotation SummarizationSetBy = Automatic
column top_top_incre
dataType: string
lineageTag: 7770673c-6d22-4ade-be5c-03a7fefe5481
summarizeBy: none
sourceColumn: top_top_incre
annotation SummarizationSetBy = Automatic
column rank
dataType: int64
formatString: 0
lineageTag: 662038a3-f31b-47cf-bef0-9c1c654674db
summarizeBy: sum
sourceColumn: rank
annotation SummarizationSetBy = Automatic
column corp_desc
dataType: string
lineageTag: 9d636602-be91-480d-956e-9ef2e0d06449
summarizeBy: none
sourceColumn: corp_desc
annotation SummarizationSetBy = Automatic
column corp_cod
dataType: string
lineageTag: 4c499c6e-cb18-486f-935f-1bb90e5af521
summarizeBy: none
sourceColumn: corp_cod
annotation SummarizationSetBy = Automatic
column corporation
dataType: string
lineageTag: 181bec37-3634-4931-9aeb-16cc5b163b79
summarizeBy: none
sourceColumn: corporation
annotation SummarizationSetBy = Automatic
column type
dataType: string
lineageTag: fa408084-c658-4a22-a93f-d87be8b9b45c
summarizeBy: none
sourceColumn: type
annotation SummarizationSetBy = Automatic
column sales_quarter_num
dataType: int64
formatString: 0
lineageTag: 4bfbf1f6-ca26-4ef8-9734-52a84f64095a
summarizeBy: none
sourceColumn: sales_quarter_num
annotation SummarizationSetBy = Automatic
column sales_amount
dataType: double
lineageTag: 081e3e8b-7ef4-4bf0-969d-f1a54947856c
summarizeBy: sum
sourceColumn: sales_amount
annotation SummarizationSetBy = Automatic
annotation PBI_FormatHint = {"isGeneralNumber":true}
column sales_amount_ly
dataType: double
lineageTag: 7ab3e16a-3c63-4818-a3ec-c7b725a829c5
summarizeBy: sum
sourceColumn: sales_amount_ly
annotation SummarizationSetBy = Automatic
annotation PBI_FormatHint = {"isGeneralNumber":true}
partition Fact_Direct_Retail_national_corp_rank = m
mode: import
queryGroup: Fact_Sales
source = ```
let
Source =
Value.NativeQuery(
Databricks.Catalogs(
ServerAddress, HttpPath, [
Catalog = CatalogName,
Database = null,
EnableAutomaticProxyDiscovery = null,EnableQueryResultDownload="0"
]
){
[Name = CatalogName, Kind = "Database"]
}[Data],
"
SELECT
a.ta,
a.rx_otc,
a.top_top_incre,
CAST(a.rank1 AS INT) AS rank,
a.corp_desc,
c.corp_cod,
a.corporation,
a.type,
CAST(
CONCAT(
SUBSTR(a.sales_quarter, 1, 4),
LPAD(CAST(CAST(SUBSTR(a.sales_quarter, 6, 1) AS INT) * 3 AS STRING), 2, '0')
) AS INT
) AS sales_quarter_num,
CAST(a.sales_amount * 1000000 AS DECIMAL(20, 2)) AS sales_amount,
CAST(b.sales_amount * 1000000 AS DECIMAL(20, 2)) AS sales_amount_ly
FROM
dwd.dwd_gnd_retail_national_corp_rank a
LEFT JOIN dwd.dwd_gnd_retail_national_corp_rank b
ON coalesce(a.ta ,'') = coalesce(b.ta,'')
AND coalesce(a.rx_otc ,'') = coalesce(b.rx_otc,'')
AND coalesce(a.top_top_incre,'') = coalesce(b.top_top_incre,'')
AND coalesce(a.corp_desc ,'') = coalesce(b.corp_desc,'')
AND coalesce(a.type ,'') = coalesce(b.type,'')
AND CONCAT(CAST(CAST(SUBSTR(a.sales_quarter, 1, 4) AS INT) - 1 AS STRING), SUBSTR(a.sales_quarter, 5)) = b.sales_quarter
-- ^^^ '2024' - 1 = '2023' + 'Q1' => '2023Q1' = b.sales_quarter
LEFT JOIN
(SELECT ZK_Corp_C,max(CORP_COD) CORP_COD
FROM dwd.dwd_inc_gnd_retail_b2c_label_total
WHERE CORP_COD is NOT NULL GROUP BY ZK_Corp_C) c
on a.corp_desc = c.zk_corp_c
"
& UsingLimit,
null,
[
EnableFolding = true
]
)
in
Source
```
annotation PBI_NavigationStepName = Navigation
annotation PBI_ResultType = Table

253
External All Channel.SemanticModel/definition/tables/Fact_Direct_Retail_national_prd_rank.tmdl Normal file
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@@ -0,0 +1,253 @@
table Fact_Direct_Retail_national_prd_rank
lineageTag: 42f2bb71-77d2-4839-bd67-a191c1bdd68d
column ta
dataType: string
lineageTag: 95780b78-e622-4b86-9eb9-d0bcb4775696
summarizeBy: none
sourceColumn: ta
annotation SummarizationSetBy = Automatic
column rx_otc
dataType: string
lineageTag: 68a78c0d-164e-4b2f-a7df-ccbe1d74b55f
summarizeBy: none
sourceColumn: rx_otc
annotation SummarizationSetBy = Automatic
column top_top_incre
dataType: string
lineageTag: 63eb87c6-91e8-463e-9e8b-eb6b4ed3b7a0
summarizeBy: none
sourceColumn: top_top_incre
annotation SummarizationSetBy = Automatic
column rank1
dataType: string
lineageTag: 452adbd5-d507-4a2e-b323-9f60032e6e8e
summarizeBy: none
sourceColumn: rank1
sortByColumn: rank_num
changedProperty = SortByColumn
annotation SummarizationSetBy = Automatic
column prod_desc
dataType: string
lineageTag: 0b1185d8-6f40-40bd-8220-52d5c6ef4a0c
summarizeBy: none
sourceColumn: prod_desc
annotation SummarizationSetBy = Automatic
column type
dataType: string
lineageTag: bf3daec7-2aee-4f5e-b029-781d6ba67a48
summarizeBy: none
sourceColumn: type
annotation SummarizationSetBy = Automatic
column cmps_desc
dataType: string
lineageTag: 844fb435-fc2b-43af-906c-d32ac9df27ec
summarizeBy: none
sourceColumn: cmps_desc
annotation SummarizationSetBy = Automatic
column brand
dataType: string
lineageTag: 971c8f8b-55d9-4654-a73e-bc7521fb1419
summarizeBy: none
sourceColumn: brand
annotation SummarizationSetBy = Automatic
column corp_desc
dataType: string
lineageTag: 1fe9b6f0-2a41-4744-b6ba-44cfa8536898
summarizeBy: none
sourceColumn: corp_desc
annotation SummarizationSetBy = Automatic
column corp_cod
dataType: string
lineageTag: 7fdee000-e956-4898-b955-c7b8a4d9499c
summarizeBy: none
sourceColumn: corp_cod
annotation SummarizationSetBy = Automatic
column corporation
dataType: string
lineageTag: 291cebde-2b6b-4759-a911-65af3b1f2fbb
summarizeBy: none
sourceColumn: corporation
annotation SummarizationSetBy = Automatic
column sales_quarter
dataType: int64
formatString: 0
lineageTag: 8fbb709b-35f0-48af-ab2c-1eee4397b7e8
summarizeBy: sum
sourceColumn: sales_quarter
annotation SummarizationSetBy = Automatic
column sales_amount
dataType: double
lineageTag: 1e74e5c4-345d-4054-95fe-463f1d803ecf
summarizeBy: sum
sourceColumn: sales_amount
annotation SummarizationSetBy = Automatic
annotation PBI_FormatHint = {"isGeneralNumber":true}
column sales_amount_ly
dataType: double
lineageTag: e9ed2c01-dfff-41eb-93c1-82ec3a1f6d7e
summarizeBy: sum
sourceColumn: sales_amount_ly
annotation SummarizationSetBy = Automatic
annotation PBI_FormatHint = {"isGeneralNumber":true}
column rank_num
dataType: int64
formatString: 0
lineageTag: c6b72f4a-496f-4e78-bfa8-12a6db3c88c8
summarizeBy: sum
sourceColumn: rank_num
annotation SummarizationSetBy = Automatic
partition Fact_Direct_Retail_national_prd_rank = m
mode: import
queryGroup: Fact_Sales
source = ```
let
Source =
Value.NativeQuery(
Databricks.Catalogs(
ServerAddress, HttpPath, [
Catalog = CatalogName,
Database = null,
EnableAutomaticProxyDiscovery = null,EnableQueryResultDownload="0"
]
){
[Name = CatalogName, Kind = "Database"]
}[Data],
"
-- *************************************
-- 功能说明：零售全国数据季度同比分析
-- 数据来源：dwd.dwd_gnd_retail_national_prd_rank
-- 输出内容：当前季度 vs 去年同期的销售金额对比
-- *************************************
WITH format_table AS (
-- 步骤1：清洗并标准化字段，去除首尾空格
SELECT
TRIM(ta) AS ta,
TRIM(rx_otc) AS rx_otc,
TRIM(top_top_incre) AS top_top_incre,
TRIM(rank1) AS rank1,
TRIM(prod_desc) AS prod_desc,
TRIM(type) AS type,
TRIM(cmps_desc) AS cmps_desc,
TRIM(brand) AS brand,
TRIM(corp_desc) AS corp_desc,
TRIM(corporation) AS corporation,
TRIM(sales_quarter) AS sales_quarter,
sales_amount
FROM dwd.dwd_gnd_retail_national_prd_rank
)
-- 步骤2：主查询，关联去年同期数据
SELECT
a.ta,
a.rx_otc,
a.top_top_incre,
-- rank1 字段处理：'total' 转为 99，其他转为整数类型
CASE
WHEN LOWER(a.rank1) = 'total' THEN 99
ELSE CAST(a.rank1 AS INT)
END AS rank_num,
a.rank1,
a.prod_desc,
a.type,
a.cmps_desc,
a.brand,
-- d.iqvia_prod_code (暂时注释)
a.corp_desc,
-- 关联企业编码
c.corp_cod,
a.corporation,
-- 销售季度转换：如 '2023Q1' → 202301
CAST(
CONCAT(
SUBSTR(a.sales_quarter, 1, 4), -- 年份：2023
LPAD(CAST(CAST(SUBSTR(a.sales_quarter, 6, 1) AS INT) * 3 AS STRING), 2, '0') -- 季度：Q1→03
) AS INT
) AS sales_quarter,
-- 销售金额单位转换（假设原始单位为百万，转为实际金额 * 1000000）
CAST(a.sales_amount * 1000000 AS DECIMAL(20, 2)) AS sales_amount,
-- 去年同期销售金额
CAST(b.sales_amount * 1000000 AS DECIMAL(20, 2)) AS sales_amount_ly
FROM format_table a
-- 自连接获取去年同期数据
LEFT JOIN format_table b
ON COALESCE(a.ta, '') = COALESCE(b.ta, '')
AND COALESCE(a.rx_otc, '') = COALESCE(b.rx_otc, '')
AND COALESCE(a.top_top_incre, '')= COALESCE(b.top_top_incre, '')
AND COALESCE(a.rank1, '') = COALESCE(b.rank1, '')
AND COALESCE(a.prod_desc, '') = COALESCE(b.prod_desc, '')
AND COALESCE(a.type, '') = COALESCE(b.type, '')
AND COALESCE(a.cmps_desc, '') = COALESCE(b.cmps_desc, '')
AND COALESCE(a.brand, '') = COALESCE(b.brand, '')
AND COALESCE(a.corp_desc, '') = COALESCE(b.corp_desc, '')
AND COALESCE(a.corporation, '') = COALESCE(b.corporation, '')
-- 季度匹配：当前季度年份 - 1，季度后缀不变
AND CONCAT(CAST(CAST(SUBSTR(a.sales_quarter, 1, 4) AS INT) - 1 AS STRING), SUBSTR(a.sales_quarter, 5)) = b.sales_quarter
-- 关联企业编码映射表
LEFT JOIN (
SELECT
ZK_Corp_C,
MAX(CORP_COD) AS CORP_COD -- 一对多时取最大值，避免重复
FROM dwd.dwd_inc_gnd_retail_b2c_label_total
WHERE CORP_COD IS NOT NULL
GROUP BY ZK_Corp_C
) c
ON a.corp_desc = c.zk_corp_c
"
& UsingLimit,
null,
[
EnableFolding = true
]
)
in
Source
```
annotation PBI_NavigationStepName = Navigation
annotation PBI_ResultType = Table

148
External All Channel.SemanticModel/definition/tables/Fact_Direct_Retail_region_corp_rank.tmdl Normal file
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@@ -0,0 +1,148 @@
table Fact_Direct_Retail_region_corp_rank
lineageTag: f61bc5b9-a3d7-4beb-91b5-34c3f55fc44c
column ta
dataType: string
lineageTag: d689b859-cc7a-4c9b-9b54-7ef9252ecf60
summarizeBy: none
sourceColumn: ta
annotation SummarizationSetBy = Automatic
column rx_otc
dataType: string
lineageTag: f9f5b015-9b9b-4ec4-b237-9536a8fe0d0a
summarizeBy: none
sourceColumn: rx_otc
annotation SummarizationSetBy = Automatic
column top_top_incre
dataType: string
lineageTag: 671d7409-d814-4c5e-8dd2-f0911fc0d0ad
summarizeBy: none
sourceColumn: top_top_incre
annotation SummarizationSetBy = Automatic
column region
dataType: string
lineageTag: 475cbea5-e061-421a-8dea-6b1f825af5a7
summarizeBy: none
sourceColumn: region
annotation SummarizationSetBy = Automatic
column rank1
dataType: string
lineageTag: 0aa2e2e8-8054-4f38-8c9b-8d8bea8f2f1a
summarizeBy: none
sourceColumn: rank1
sortByColumn: rank_num
changedProperty = SortByColumn
annotation SummarizationSetBy = Automatic
column corp_desc
dataType: string
lineageTag: 10f18f48-99a8-4083-a1e7-8bf0d9ec4478
summarizeBy: none
sourceColumn: corp_desc
annotation SummarizationSetBy = Automatic
column corporation
dataType: string
lineageTag: 3bd924a0-8846-41f8-9845-80e29ecb1313
summarizeBy: none
sourceColumn: corporation
annotation SummarizationSetBy = Automatic
column type
dataType: string
lineageTag: 616bca65-7041-4b73-bfa3-6c97a6342fbf
summarizeBy: none
sourceColumn: type
annotation SummarizationSetBy = Automatic
column sales_quarter
dataType: int64
formatString: 0
lineageTag: c8ca2077-1c51-4927-87fe-3392730cd991
summarizeBy: sum
sourceColumn: sales_quarter
annotation SummarizationSetBy = Automatic
column sales_amount
dataType: double
lineageTag: e26b6f73-4796-45fa-8a66-1e0499e70207
summarizeBy: sum
sourceColumn: sales_amount
annotation SummarizationSetBy = Automatic
annotation PBI_FormatHint = {"isGeneralNumber":true}
column rank_num
dataType: int64
formatString: 0
lineageTag: c1b1b35b-7e30-49f2-8359-fe68c9863ffc
summarizeBy: sum
sourceColumn: rank_num
annotation SummarizationSetBy = Automatic
partition Fact_Direct_Retail_region_corp_rank = m
mode: import
queryGroup: Fact_Sales
source = ```
let
Source =
Value.NativeQuery(
Databricks.Catalogs(
ServerAddress, HttpPath, [
Catalog = CatalogName,
Database = null,
EnableAutomaticProxyDiscovery = null,EnableQueryResultDownload="0"
]
){
[Name = CatalogName, Kind = "Database"]
}[Data],
"
select
a.ta
,a.rx_otc
,a.top_top_incre
,a.region
,a.rank1
,COALESCE(cast(a.rank1 as int),99) as rank_num
,a.corp_desc
,a.corporation
,a.type
,CAST(
CONCAT(
SUBSTR(a.sales_quarter, 1, 4),
LPAD(CAST(CAST(SUBSTR(a.sales_quarter, 6, 1) AS INT) * 3 AS STRING), 2, '0')
) AS INT
) AS sales_quarter
,CAST(a.sales_amount * 1000000 AS DECIMAL(20, 2)) AS sales_amount
from dwd.dwd_gnd_retail_region_corp_rank a
"
& UsingLimit,
null,
[
EnableFolding = true
]
)
in
Source
```
annotation PBI_NavigationStepName = Navigation
annotation PBI_ResultType = Table

121
External All Channel.SemanticModel/definition/tables/Fact_Direct_Retail_rx_market.tmdl Normal file
View File

@@ -0,0 +1,121 @@
table Fact_Direct_Retail_rx_market
lineageTag: 5ce8ace0-0e58-4a5e-b8f7-6a83ec904179
column type_name
dataType: string
lineageTag: ff0f5e9c-73b4-4a77-8f4a-b623e033b468
summarizeBy: none
sourceColumn: type_name
annotation SummarizationSetBy = Automatic
column type_name_key
dataType: string
lineageTag: 357fb16c-84ee-4a0f-ae54-933534096eae
summarizeBy: none
sourceColumn: type_name_key
annotation SummarizationSetBy = Automatic
column sales_month
dataType: int64
formatString: 0
lineageTag: 97530959-68fa-4b9e-b33d-2e25449543df
summarizeBy: sum
sourceColumn: sales_month
annotation SummarizationSetBy = Automatic
column sales_quarter
dataType: int64
formatString: 0
lineageTag: 47b8f7e8-00a1-4a2e-8e59-8a790e1255de
summarizeBy: none
sourceColumn: sales_quarter
annotation SummarizationSetBy = Automatic
column sales_amount
dataType: double
lineageTag: 424653b6-4a88-4863-b496-02243d81d8c0
summarizeBy: sum
sourceColumn: sales_amount
annotation SummarizationSetBy = Automatic
annotation PBI_FormatHint = {"isGeneralNumber":true}
column sales_amount_ly
dataType: double
lineageTag: af0e7e91-e45b-4c3a-a878-8279b807acca
summarizeBy: sum
sourceColumn: sales_amount_ly
annotation SummarizationSetBy = Automatic
annotation PBI_FormatHint = {"isGeneralNumber":true}
column is_overview_page
dataType: int64
formatString: 0
lineageTag: cf6555a1-44eb-4159-8f2a-1ae1269f1ad2
summarizeBy: sum
sourceColumn: is_overview_page
annotation SummarizationSetBy = Automatic
partition Fact_Direct_Retail_rx_market = m
mode: import
queryGroup: Fact_Sales
source = ```
let
Source =
Value.NativeQuery(
Databricks.Catalogs(
ServerAddress, HttpPath, [
Catalog = CatalogName,
Database = null,
EnableAutomaticProxyDiscovery = null,EnableQueryResultDownload="0"
]
){
[Name = CatalogName, Kind = "Database"]
}[Data],
"
SELECT
a.type_name,
CASE
WHEN a.type_name = 'AZ' THEN 'AZ'
WHEN a.type_name = 'Rx' THEN 'TOTAL'
WHEN a.type_name = 'Local' THEN 'LOCAL'
WHEN a.type_name = 'MNC' THEN 'MNC'
else null
END AS type_name_key,
CAST(a.sales_quarter AS INT) AS sales_month,
CAST(
CONCAT(
SUBSTR(CAST(a.sales_quarter AS STRING), 1, 4),
LPAD(CAST(CEIL(CAST(SUBSTR(CAST(a.sales_quarter AS STRING), 5, 2) AS INT) / 3.0) * 3 AS STRING), 2, '0')
) AS INT
) AS sales_quarter,
CAST(a.sales_amount*1000000 AS DECIMAL(20, 2)) AS sales_amount,
CAST(b.sales_amount*1000000 AS DECIMAL(20, 2)) AS sales_amount_ly -- 去年同期
,case when a.type_name IN ('AZ', 'Rx', 'Local', 'MNC') then 1 else 0 end as is_overview_page
FROM dwd.dwd_gnd_ext_retail_rx_market a
LEFT JOIN dwd.dwd_gnd_ext_retail_rx_market b
ON b.type_name = a.type_name
AND CAST(b.sales_quarter AS INT) = CAST(a.sales_quarter AS INT) - 100 -- YYYYMM - 100 = 去年同月
"
& UsingLimit,
null,
[
EnableFolding = true
]
)
in
Source
```
annotation PBI_NavigationStepName = Navigation
annotation PBI_ResultType = Exception

216
External All Channel.SemanticModel/definition/tables/Fact_Direct_Retail_rx_top_corp.tmdl Normal file
View File

@@ -0,0 +1,216 @@
table Fact_Direct_Retail_rx_top_corp
lineageTag: fbf6f72a-cf36-4178-bba2-7c20331b90c9
column corporation
dataType: string
lineageTag: 8561f456-7563-4453-8023-af6ef9caa819
summarizeBy: none
sourceColumn: corporation
annotation SummarizationSetBy = Automatic
column quarter_flag
dataType: string
lineageTag: 26045c57-a4e1-492d-bd0c-9729725a3b74
summarizeBy: none
sourceColumn: quarter_flag
annotation SummarizationSetBy = Automatic
column top1_brand_val
dataType: string
lineageTag: dc79413f-ce11-415a-bed4-d3f35701da74
summarizeBy: none
sourceColumn: top1_brand_val
annotation SummarizationSetBy = Automatic
column top1_brand_gr
dataType: double
formatString: 0.00%;-0.00%;0.00%
lineageTag: fb7c4e0e-de2e-49d3-a90d-f0ae2321e2f5
summarizeBy: sum
sourceColumn: top1_brand_gr
changedProperty = DataType
annotation SummarizationSetBy = Automatic
column top2_brand_val
dataType: string
lineageTag: a7512f4b-a95b-4400-9f96-7ad3adadea14
summarizeBy: none
sourceColumn: top2_brand_val
annotation SummarizationSetBy = Automatic
column top2_brand_gr
dataType: double
formatString: #,##0.00 %
lineageTag: 6b87d8ab-210e-4732-84c5-be2d69343043
summarizeBy: sum
sourceColumn: top2_brand_gr
changedProperty = DataType
annotation SummarizationSetBy = Automatic
annotation PBI_FormatHint = {"isGeneralNumber":true}
column top1_incremental_brand
dataType: string
lineageTag: d648d1a7-2111-4f2e-93a6-aa1b3286f1da
summarizeBy: none
sourceColumn: top1_incremental_brand
annotation SummarizationSetBy = Automatic
column top1_incremental_gr
dataType: double
formatString: 0.00%;-0.00%;0.00%
lineageTag: 728c8d18-cdd7-4652-b373-6961bc5472bf
summarizeBy: sum
sourceColumn: top1_incremental_gr
changedProperty = DataType
annotation SummarizationSetBy = Automatic
column top2_incremental_brand
dataType: string
lineageTag: 90aa05a6-1396-4467-8e63-b99e16e56e58
summarizeBy: none
sourceColumn: top2_incremental_brand
annotation SummarizationSetBy = Automatic
column top2_incremental_gr
dataType: double
formatString: 0.00%;-0.00%;0.00%
lineageTag: 4cc8a03c-0732-4234-ac9a-5b89c555e940
summarizeBy: sum
sourceColumn: top2_incremental_gr
changedProperty = DataType
annotation SummarizationSetBy = Automatic
column top1_brand_val_en
dataType: string
lineageTag: e799a95a-5ccc-4ad8-a9b5-88f0752ca127
summarizeBy: none
sourceColumn: top1_brand_val_en
annotation SummarizationSetBy = Automatic
column top2_brand_val_en
dataType: string
lineageTag: f110c3d7-9b07-4c56-8c49-c7fe3d6c717b
summarizeBy: none
sourceColumn: top2_brand_val_en
annotation SummarizationSetBy = Automatic
column top1_incremental_brand_en
dataType: string
lineageTag: f82873ae-d4bf-4a77-acb6-0813e992be1b
summarizeBy: none
sourceColumn: top1_incremental_brand_en
annotation SummarizationSetBy = Automatic
column top2_incremental_brand_en
dataType: string
lineageTag: a12a1646-e70a-4ea1-a387-346b2b9e4609
summarizeBy: none
sourceColumn: top2_incremental_brand_en
annotation SummarizationSetBy = Automatic
column corp_cod
dataType: string
lineageTag: 5cee87f6-a22b-489f-8f73-ad9a69068c81
summarizeBy: none
sourceColumn: corp_cod
annotation SummarizationSetBy = Automatic
column yyyymm
dataType: int64
formatString: 0
lineageTag: 32abc77e-b874-4dc9-a370-13deeb2157aa
summarizeBy: none
sourceColumn: yyyymm
annotation SummarizationSetBy = Automatic
partition Fact_Direct_Retail_rx_top_corp = m
mode: import
queryGroup: Fact_Sales
source = ```
let
Source =
Value.NativeQuery(
Databricks.Catalogs(
ServerAddress, HttpPath, [
Catalog = CatalogName,
Database = null,
EnableAutomaticProxyDiscovery = null,EnableQueryResultDownload="0"
]
){
[Name = CatalogName, Kind = "Database"]
}[Data],
"
with packinfo (
select
PROD_DESC_C,
max(PROD_DESC) PROD_DESC
from
dm.dm_td_ext_retail_pack_property
where
PROD_DESC is not null
group by
PROD_DESC_C
)
select
a.corporation
,a.quarter_flag
,a.top1_brand_val
,d.prod_desc as top1_brand_val_en
,a.top1_brand_gr
,a.top2_brand_val
,d.prod_desc as top2_brand_val_en
,a.top2_brand_gr
,a.top1_incremental_brand
,d.prod_desc as top1_incremental_brand_en
,a.top1_incremental_gr
,a.top2_incremental_brand
,d.prod_desc as top2_incremental_brand_en
,a.top2_incremental_gr
,c.corp_cod
,cast(concat('20',right(a.quarter_flag,4)) as int) as yyyymm
from dwd.dwd_gnd_ext_retail_rx_top_corp a
LEFT JOIN
(SELECT ZK_Corp,min(CORP_COD) CORP_COD
FROM dwd.dwd_inc_gnd_retail_b2c_label_total
WHERE CORP_COD is NOT NULL GROUP BY ZK_Corp) c
on a.corporation = c.ZK_Corp
left join packinfo d on a.top1_brand_val = d.prod_desc_c
left join packinfo e on a.top1_brand_val = e.prod_desc_c
left join packinfo f on a.top1_brand_val = f.prod_desc_c
left join packinfo g on a.top1_brand_val = g.prod_desc_c
"
& UsingLimit,
null,
[
EnableFolding = true
]
)
in
Source
```
annotation PBI_NavigationStepName = Navigation
annotation PBI_ResultType = Table

173
External All Channel.SemanticModel/definition/tables/Fact_Retail_Special.tmdl
View File

@@ -1,173 +0,0 @@
table Fact_Retail_Special
lineageTag: 03270d86-cd05-4e82-8d9b-3c07a61ae07d
column market
dataType: string
lineageTag: 211934fd-fc53-4f05-9e64-a6f76b1f3a92
summarizeBy: none
sourceColumn: market
annotation SummarizationSetBy = Automatic
column province_city
dataType: string
lineageTag: eddc6fc4-9197-4ddb-89e6-caa5c30ccfca
summarizeBy: none
sourceColumn: province_city
annotation SummarizationSetBy = Automatic
column audit_key
dataType: string
lineageTag: 1b0c5594-91ae-4c6d-9dc5-af16099da672
summarizeBy: none
sourceColumn: audit_key
annotation SummarizationSetBy = Automatic
column yyyymm
dataType: string
lineageTag: badbdb34-9b05-4c44-b865-738549ab9d64
summarizeBy: none
sourceColumn: yyyymm
annotation SummarizationSetBy = Automatic
column sales_value
dataType: double
lineageTag: f02a1e51-8f8d-46e8-a145-f75b5be718af
summarizeBy: sum
sourceColumn: sales_value
annotation SummarizationSetBy = Automatic
annotation PBI_FormatHint = {"isGeneralNumber":true}
column sales_volume
dataType: double
lineageTag: 9266f441-b1f7-47e0-825c-eb594ab31e99
summarizeBy: sum
sourceColumn: sales_volume
annotation SummarizationSetBy = Automatic
annotation PBI_FormatHint = {"isGeneralNumber":true}
column pdot_counting_unit
dataType: double
lineageTag: a5affad6-965f-4513-a231-a8285fdf40ed
summarizeBy: sum
sourceColumn: pdot_counting_unit
annotation SummarizationSetBy = Automatic
annotation PBI_FormatHint = {"isGeneralNumber":true}
column audit_source
dataType: string
lineageTag: b46c7620-5dcf-4c87-906f-327a8b0d2170
summarizeBy: none
sourceColumn: audit_source
annotation SummarizationSetBy = Automatic
column date_key
dataType: dateTime
formatString: Long Date
lineageTag: ce7abf1b-9099-41b3-bd06-af96c983648c
summarizeBy: none
sourceColumn: date_key
changedProperty = DataType
annotation SummarizationSetBy = Automatic
annotation UnderlyingDateTimeDataType = Date
column sales_value_ly
dataType: double
lineageTag: 4a689421-1ba3-4557-8830-3e3fc15d3b62
summarizeBy: sum
sourceColumn: sales_value_ly
annotation SummarizationSetBy = Automatic
annotation PBI_FormatHint = {"isGeneralNumber":true}
column sales_volume_ly
dataType: double
lineageTag: e1622402-5a58-4798-812a-226e529a8f41
summarizeBy: sum
sourceColumn: sales_volume_ly
annotation SummarizationSetBy = Automatic
annotation PBI_FormatHint = {"isGeneralNumber":true}
column pdot_counting_unit_ly
dataType: double
lineageTag: 0e63434c-ada9-43e7-974d-d5415e5dc395
summarizeBy: sum
sourceColumn: pdot_counting_unit_ly
annotation SummarizationSetBy = Automatic
annotation PBI_FormatHint = {"isGeneralNumber":true}
column rc_key
dataType: string
lineageTag: 52bdfe70-0b61-43b6-879d-edca0767cc39
summarizeBy: none
sourceColumn: rc_key
annotation SummarizationSetBy = Automatic
partition Fact_Retail_Special = m
mode: import
queryGroup: OLD\FreeReport独有表
source = ```
let
Source =
Value.NativeQuery(
Databricks.Catalogs(
ServerAddress, HttpPath, [
Catalog = CatalogName,
Database = null,
EnableAutomaticProxyDiscovery = null,EnableQueryResultDownload="0"
]
){
[Name = CatalogName, Kind = "Database"]
}[Data],
"
select
a.market
,a.province_city
,a.audit_key
,a.audit_source
,a.date_key
,a.yyyymm
,a.sales_value
,a.sales_volume
,a.pdot_counting_unit
,a.sales_value_ly
,a.sales_volume_ly
,a.pdot_counting_unit_ly
,concat(a.audit_source,a.market) rc_key
from dm.dm_tf_external_retail_special a
"
& UsingLimit,
null,
[
EnableFolding = true
]
)
in
Source
```
annotation PBI_NavigationStepName = Navigation
annotation PBI_ResultType = Table
annotation TabularEditor_TableGroup = 05_FactTable

9
External All Channel.SemanticModel/definition/tables/Fact_Sales.tmdl
View File

@@ -366,12 +366,11 @@ table Fact_Sales
annotation SummarizationSetBy = Automatic
column EGFR_FLAG
dataType: int64
formatString: 0
column TARGET_INS
dataType: string
lineageTag: 43b1127c-5c48-406b-ab40-0c472b7b1677
summarizeBy: sum
sourceColumn: EGFR_FLAG
summarizeBy: none
sourceColumn: TARGET_INS
annotation SummarizationSetBy = Automatic

4
External All Channel.SemanticModel/definition/tables/Fact_Sales_Total.tmdl
View File

@@ -214,7 +214,7 @@ table Fact_Sales_Total
SUM(NULLIF(A.PDOT, 0)) AS PDOT,
SUM(NULLIF(A.PDOT_LY, 0)) AS PDOT_LY
FROM
DM.dm_tf_ext_unionall_market_sales A
DM.dm_tf_ext_unionall_sales_mapping A
WHERE
YYYYMM >= (YEAR(CURRENT_DATE()) - 3) * 100 + 1 -- 内联，消除 CROSS JOIN
AND DATA_SOURCE <> 'XH Data(Quarterly)'
@@ -238,7 +238,7 @@ table Fact_Sales_Total
Source
```
annotation PBI_ResultType = Exception
annotation PBI_ResultType = Table
annotation PBI_NavigationStepName = Navigation

9674
External All Channel.SemanticModel/definition/tables/Measure.tmdl
View File

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