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haoyi修改

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zhuchenwu@chenwuzhu.cn
2026-04-28 09:22:48 +00:00
parent 3b08537f5e
commit 54ba912b2a
6 changed files with 688 additions and 125 deletions
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6
07 dm_td_external_packinfo.sql
View File

@@ -13,10 +13,10 @@
---------------------------------------------------------------------------- ----------------------------------------------------------------------------
create or replace temporary view external_sales_union as create or replace temporary view external_sales_union as
select distinct select distinct
PACK_COD, PACK_CODE as PACK_COD,
DATA_SOURCE, DATA_SOURCE,
PACK_FLAG, PACK_FLAG,
CORP_COD, CORP_CODE AS CORP_COD,
SALES_VALUE_CAL, SALES_VALUE_CAL,
dept_name, dept_name,
new_code, new_code,
@@ -2830,4 +2830,4 @@ left join (select CMPS_DES_C,DATA_SOURCE from base_table
having count(distinct cmps_cod)>1 having count(distinct cmps_cod)>1
) t3 ) t3
on t1.CMPS_DES_C = t3.CMPS_DES_C and t1.data_source = t3.data_source on t1.CMPS_DES_C = t3.CMPS_DES_C and t1.data_source = t3.data_source
where t2.prod_des_c is not null or t3.cmps_des_c is not null where t2.prod_des_c is not null or t3.cmps_des_c is not null

86
09 dm_td_external_geo_type.sql
View File

@@ -856,7 +856,7 @@ AS
SELECT DISTINCT SELECT DISTINCT
A.DATA_SOURCE, A.DATA_SOURCE,
A.AUDIT_COD, A.AUDIT_COD,
B.PACK_COD, B.PACK_CODE,
CASE CASE
WHEN WHEN
A.PROVINCE_C IN ( A.PROVINCE_C IN (
@@ -888,14 +888,14 @@ FROM
DM.dm_td_external_geo_temp A DM.dm_td_external_geo_temp A
INNER JOIN DM.DM_TF_EXT_UNIONALL_SALES B INNER JOIN DM.DM_TF_EXT_UNIONALL_SALES B
ON A.DATA_SOURCE = B.DATA_SOURCE ON A.DATA_SOURCE = B.DATA_SOURCE
AND A.AUDIT_COD = B.AUDIT_COD AND A.AUDIT_COD = B.AUDIT_CODE
WHERE WHERE
A.DATA_SOURCE = 'IQVIA-CHPA(Monthly)' A.DATA_SOURCE = 'IQVIA-CHPA(Monthly)'
UNION ALL UNION ALL
SELECT DISTINCT SELECT DISTINCT
A.DATA_SOURCE, A.DATA_SOURCE,
A.AUDIT_COD, A.AUDIT_CODE,
A.PACK_COD, A.PACK_CODE,
'全国' PROVINCE_C, '全国' PROVINCE_C,
A.REGION_TYPE, A.REGION_TYPE,
'全国' PROVINCE_MAP, '全国' PROVINCE_MAP,
@@ -909,8 +909,8 @@ WHERE
UNION ALL UNION ALL
SELECT DISTINCT SELECT DISTINCT
A.DATA_SOURCE, A.DATA_SOURCE,
A.AUDIT_COD, A.AUDIT_CODE,
A.PACK_COD, A.PACK_CODE,
C.ProvinceGroup PROVINCE_C, C.ProvinceGroup PROVINCE_C,
A.REGION_TYPE, A.REGION_TYPE,
'' PROVINCE_MAP, '' PROVINCE_MAP,
@@ -934,7 +934,7 @@ FROM
B.CITY_TYPE = 'City' B.CITY_TYPE = 'City'
and b.DATA_SOURCE = 'IQVIA-CHPA(Monthly)' and b.DATA_SOURCE = 'IQVIA-CHPA(Monthly)'
) C ) C
ON C.AUDIT_COD = a.AUDIT_COD ON C.AUDIT_COD = a.AUDIT_CODE
WHERE WHERE
A.DATA_SOURCE = 'IQVIA-CHPA(Monthly)' A.DATA_SOURCE = 'IQVIA-CHPA(Monthly)'
@@ -1194,8 +1194,8 @@ CREATE OR REPLACE TEMPORARY VIEW THC_geo_type_temp
AS AS
SELECT DISTINCT SELECT DISTINCT
A.DATA_SOURCE, A.DATA_SOURCE,
A.AUDIT_COD, A.AUDIT_CODE,
A.PACK_COD, A.PACK_CODE,
C.ProvinceGroup PROVINCE_C, C.ProvinceGroup PROVINCE_C,
A.REGION_TYPE, A.REGION_TYPE,
'' PROVINCE_MAP, '' PROVINCE_MAP,
@@ -1217,14 +1217,14 @@ FROM
WHERE WHERE
B.CITY_TYPE = 'Province' B.CITY_TYPE = 'Province'
and b.DATA_SOURCE = 'THC(Quarterly)' and b.DATA_SOURCE = 'THC(Quarterly)'
) C ON C.AUDIT_COD = a.AUDIT_COD ) C ON C.AUDIT_COD = a.AUDIT_CODE
WHERE WHERE
A.DATA_SOURCE = 'THC(Quarterly)' A.DATA_SOURCE = 'THC(Quarterly)'
UNION ALL UNION ALL
SELECT DISTINCT SELECT DISTINCT
A.DATA_SOURCE, A.DATA_SOURCE,
A.AUDIT_COD, A.AUDIT_COD,
B.PACK_COD, B.PACK_CODE,
A.PROVINCE_C, A.PROVINCE_C,
B.REGION_TYPE, B.REGION_TYPE,
A.PROVINCE_MAP, A.PROVINCE_MAP,
@@ -1236,10 +1236,10 @@ FROM
INNER JOIN ( INNER JOIN (
--补充所有的geo维度，保证全国的数据和省份的数据都有对应的维度。 --补充所有的geo维度，保证全国的数据和省份的数据都有对应的维度。
select select
PACK_COD, PACK_CODE,
REGION_TYPE, REGION_TYPE,
DATA_SOURCE, DATA_SOURCE,
AUDIT_COD AUDIT_CODE
from from
dm.DM_TF_EXT_UNIONALL_SALES dm.DM_TF_EXT_UNIONALL_SALES
WHERE WHERE
@@ -1254,7 +1254,7 @@ FROM
dm.dm_tf_external_sales_thc dm.dm_tf_external_sales_thc
-- --
) B ON A.DATA_SOURCE = B.DATA_SOURCE ) B ON A.DATA_SOURCE = B.DATA_SOURCE
AND A.AUDIT_COD = B.AUDIT_COD AND A.AUDIT_COD = B.audit_code
WHERE WHERE
A.DATA_SOURCE = 'THC(Quarterly)' A.DATA_SOURCE = 'THC(Quarterly)'
@@ -1266,8 +1266,8 @@ CREATE OR REPLACE TEMPORARY VIEW AIA_geo_type_temp
AS AS
select distinct select distinct
A.DATA_SOURCE, A.DATA_SOURCE,
A.AUDIT_COD, A.AUDIT_CODE,
A.PACK_COD, A.PACK_CODE,
'全国' as PROVINCE_C, '全国' as PROVINCE_C,
A.REGION_TYPE, A.REGION_TYPE,
'全国' as PROVINCE_MAP, '全国' as PROVINCE_MAP,
@@ -1281,8 +1281,8 @@ where
union all union all
select distinct select distinct
A.DATA_SOURCE, A.DATA_SOURCE,
A.AUDIT_COD, A.AUDIT_CODE,
A.PACK_COD, A.PACK_CODE,
B.ProvinceGroup as PROVINCE_C, B.ProvinceGroup as PROVINCE_C,
A.REGION_TYPE, A.REGION_TYPE,
'' as PROVINCE_MAP, '' as PROVINCE_MAP,
@@ -1302,14 +1302,14 @@ from
WHERE WHERE
t2.CITY_TYPE = 'City' t2.CITY_TYPE = 'City'
and t2.DATA_SOURCE = 'AIA(Monthly)' and t2.DATA_SOURCE = 'AIA(Monthly)'
) B ON A.AUDIT_COD = B.AUDIT_COD ) B ON A.AUDIT_CODE = B.AUDIT_COD
WHERE WHERE
A.DATA_SOURCE = 'AIA(Monthly)' A.DATA_SOURCE = 'AIA(Monthly)'
union all union all
select distinct select distinct
A.DATA_SOURCE, A.DATA_SOURCE,
A.AUDIT_COD, A.AUDIT_COD,
B.PACK_COD, B.PACK_CODE,
case case
when A.PROVINCE_C IN ( when A.PROVINCE_C IN (
'BBU_OtherProv', 'BBU_OtherProv',
@@ -1342,7 +1342,7 @@ select distinct
from from
dm.dm_td_external_geo_temp A dm.dm_td_external_geo_temp A
inner join dm.DM_TF_EXT_UNIONALL_SALES B on A.DATA_SOURCE = B.DATA_SOURCE inner join dm.DM_TF_EXT_UNIONALL_SALES B on A.DATA_SOURCE = B.DATA_SOURCE
and A.AUDIT_COD = B.AUDIT_COD and A.AUDIT_COD = B.AUDIT_CODE
where where
A.DATA_SOURCE = 'AIA(Monthly)' A.DATA_SOURCE = 'AIA(Monthly)'
@@ -1355,7 +1355,7 @@ AS
SELECT DISTINCT SELECT DISTINCT
A.DATA_SOURCE, A.DATA_SOURCE,
A.AUDIT_COD, A.AUDIT_COD,
B.PACK_COD, B.PACK_CODE,
CASE CASE
WHEN A.PROVINCE_C IN ( WHEN A.PROVINCE_C IN (
'BBU_OtherProv', 'BBU_OtherProv',
@@ -1390,14 +1390,14 @@ SELECT DISTINCT
FROM FROM
DM.dm_td_external_geo_temp A DM.dm_td_external_geo_temp A
INNER JOIN DM.DM_TF_EXT_UNIONALL_SALES B ON A.DATA_SOURCE = B.DATA_SOURCE INNER JOIN DM.DM_TF_EXT_UNIONALL_SALES B ON A.DATA_SOURCE = B.DATA_SOURCE
AND A.AUDIT_COD = B.AUDIT_COD AND A.AUDIT_COD = B.AUDIT_CODE
WHERE WHERE
A.DATA_SOURCE = 'CHC(Quarterly)' A.DATA_SOURCE = 'CHC(Quarterly)'
UNION ALL UNION ALL
SELECT DISTINCT SELECT DISTINCT
A.DATA_SOURCE, A.DATA_SOURCE,
A.AUDIT_COD, A.AUDIT_CODE,
A.PACK_COD, A.PACK_CODE,
'全国' PROVINCE_C, '全国' PROVINCE_C,
A.REGION_TYPE, A.REGION_TYPE,
'全国' PROVINCE_MAP, '全国' PROVINCE_MAP,
@@ -1411,8 +1411,8 @@ WHERE
UNION ALL UNION ALL
SELECT DISTINCT SELECT DISTINCT
A.DATA_SOURCE, A.DATA_SOURCE,
A.AUDIT_COD, A.AUDIT_CODE,
A.PACK_COD, A.PACK_CODE,
C.ProvinceGroup PROVINCE_C, C.ProvinceGroup PROVINCE_C,
A.REGION_TYPE, A.REGION_TYPE,
'' PROVINCE_MAP, '' PROVINCE_MAP,
@@ -1434,7 +1434,7 @@ FROM
WHERE WHERE
B.CITY_TYPE = 'City' B.CITY_TYPE = 'City'
and b.DATA_SOURCE = 'CHC(Quarterly)' and b.DATA_SOURCE = 'CHC(Quarterly)'
) C ON C.AUDIT_COD = a.AUDIT_COD ) C ON C.AUDIT_COD = a.AUDIT_CODE
WHERE WHERE
A.DATA_SOURCE = 'CHC(Quarterly)' A.DATA_SOURCE = 'CHC(Quarterly)'
@@ -1447,7 +1447,7 @@ AS
select distinct select distinct
a.DATA_SOURCE, a.DATA_SOURCE,
a.AUDIT_COD, a.AUDIT_COD,
b.PACK_COD, b.PACK_CODE,
a.PROVINCE_C, a.PROVINCE_C,
b.REGION_TYPE, b.REGION_TYPE,
a.PROVINCE_MAP, a.PROVINCE_MAP,
@@ -1456,7 +1456,7 @@ select distinct
1 RN 1 RN
from from
dm.dm_td_external_geo_temp a dm.dm_td_external_geo_temp a
left join dm.DM_TF_EXT_UNIONALL_SALES b on a.audit_cod = b.AUDIT_COD left join dm.DM_TF_EXT_UNIONALL_SALES b on a.audit_cod = b.AUDIT_CODE
where where
a.DATA_SOURCE = 'EC(Monthly)' a.DATA_SOURCE = 'EC(Monthly)'
and b.DATA_SOURCE = 'EC(Monthly)' and b.DATA_SOURCE = 'EC(Monthly)'
@@ -1469,8 +1469,8 @@ CREATE OR REPLACE TEMPORARY VIEW XH_geo_type_temp
AS AS
select distinct select distinct
A.DATA_SOURCE, A.DATA_SOURCE,
A.AUDIT_COD, A.AUDIT_CODE,
A.PACK_COD, A.PACK_CODE,
'全国' as PROVINCE_C, '全国' as PROVINCE_C,
A.REGION_TYPE, A.REGION_TYPE,
'全国' as PROVINCE_MAP, '全国' as PROVINCE_MAP,
@@ -1485,7 +1485,7 @@ union all
select distinct select distinct
A.DATA_SOURCE, A.DATA_SOURCE,
A.AUDIT_COD, A.AUDIT_COD,
B.PACK_COD, B.PACK_CODE,
case case
when A.PROVINCE_C IN ( when A.PROVINCE_C IN (
'BBU_OtherProv', 'BBU_OtherProv',
@@ -1518,7 +1518,7 @@ select distinct
from from
dm.dm_td_external_geo_temp A dm.dm_td_external_geo_temp A
inner join dm.DM_TF_EXT_UNIONALL_SALES B on A.DATA_SOURCE = B.DATA_SOURCE inner join dm.DM_TF_EXT_UNIONALL_SALES B on A.DATA_SOURCE = B.DATA_SOURCE
and A.AUDIT_COD = B.AUDIT_COD and A.AUDIT_COD = B.AUDIT_CODE
where where
A.DATA_SOURCE = 'XH Data(Quarterly)' A.DATA_SOURCE = 'XH Data(Quarterly)'
@@ -1536,7 +1536,7 @@ where
create or replace temporary view dm_td_external_geo_type_temp create or replace temporary view dm_td_external_geo_type_temp
as as
select select
DATA_SOURCE,AUDIT_COD,PACK_COD,PROVINCE_C,REGION_TYPE,PROVINCE_MAP,CITY_C,AZ_CITY_TIER,RN DATA_SOURCE,AUDIT_COD,PACK_CODE,PROVINCE_C,REGION_TYPE,PROVINCE_MAP,CITY_C,AZ_CITY_TIER,RN
from from
CHPA_geo_type_temp CHPA_geo_type_temp
union all union all
@@ -1551,27 +1551,27 @@ from
RETAIL_geo_type_temp RETAIL_geo_type_temp
union all union all
select select
DATA_SOURCE,AUDIT_COD,PACK_COD,PROVINCE_C,REGION_TYPE,PROVINCE_MAP,CITY_C,AZ_CITY_TIER,RN DATA_SOURCE,AUDIT_CODE,PACK_CODE,PROVINCE_C,REGION_TYPE,PROVINCE_MAP,CITY_C,AZ_CITY_TIER,RN
from from
THC_geo_type_temp THC_geo_type_temp
union all union all
select select
DATA_SOURCE,AUDIT_COD,PACK_COD,PROVINCE_C,REGION_TYPE,PROVINCE_MAP,CITY_C,AZ_CITY_TIER,RN DATA_SOURCE,AUDIT_CODE,PACK_CODE,PROVINCE_C,REGION_TYPE,PROVINCE_MAP,CITY_C,AZ_CITY_TIER,RN
from from
AIA_geo_type_temp AIA_geo_type_temp
union all union all
select select
DATA_SOURCE,AUDIT_COD,PACK_COD,PROVINCE_C,REGION_TYPE,PROVINCE_MAP,CITY_C,AZ_CITY_TIER,RN DATA_SOURCE,AUDIT_COD,PACK_CODE,PROVINCE_C,REGION_TYPE,PROVINCE_MAP,CITY_C,AZ_CITY_TIER,RN
from from
CHC_geo_type_temp CHC_geo_type_temp
union all union all
select select
DATA_SOURCE,AUDIT_COD,PACK_COD,PROVINCE_C,REGION_TYPE,PROVINCE_MAP,CITY_C,AZ_CITY_TIER,RN DATA_SOURCE,AUDIT_COD,PACK_CODE,PROVINCE_C,REGION_TYPE,PROVINCE_MAP,CITY_C,AZ_CITY_TIER,RN
from from
EC_geo_type_temp EC_geo_type_temp
union all union all
select select
DATA_SOURCE,AUDIT_COD,PACK_COD,PROVINCE_C,REGION_TYPE,PROVINCE_MAP,CITY_C,AZ_CITY_TIER,RN DATA_SOURCE,AUDIT_CODE,PACK_CODE,PROVINCE_C,REGION_TYPE,PROVINCE_MAP,CITY_C,AZ_CITY_TIER,RN
from from
XH_geo_type_temp XH_geo_type_temp
@@ -1699,7 +1699,7 @@ as
SUM(B.SALES_VALUE_CAL) SALES_VALUE_CAL SUM(B.SALES_VALUE_CAL) SALES_VALUE_CAL
FROM FROM
TEMP A TEMP A
INNER JOIN DM.DM_TF_EXT_UNIONALL_SALES B ON A.AUDIT_COD = B.AUDIT_COD INNER JOIN DM.DM_TF_EXT_UNIONALL_SALES B ON A.AUDIT_COD = B.AUDIT_CODE
AND A.DATA_SOURCE = B.DATA_SOURCE AND A.DATA_SOURCE = B.DATA_SOURCE
AND A.REGION_TYPE = B.REGION_TYPE AND A.REGION_TYPE = B.REGION_TYPE
and A.DATA_SOURCE = B.DATA_SOURCE and A.DATA_SOURCE = B.DATA_SOURCE
@@ -1749,7 +1749,7 @@ as
SUM(B.SALES_VALUE_CAL) SALES_VALUE_CAL SUM(B.SALES_VALUE_CAL) SALES_VALUE_CAL
FROM FROM
TEMP A TEMP A
INNER JOIN DM.DM_TF_EXT_UNIONALL_SALES B ON A.AUDIT_COD = B.AUDIT_COD INNER JOIN DM.DM_TF_EXT_UNIONALL_SALES B ON A.AUDIT_COD = B.AUDIT_CODE
AND A.DATA_SOURCE = B.DATA_SOURCE AND A.DATA_SOURCE = B.DATA_SOURCE
AND A.REGION_TYPE = B.REGION_TYPE AND A.REGION_TYPE = B.REGION_TYPE
and A.DATA_SOURCE = B.DATA_SOURCE and A.DATA_SOURCE = B.DATA_SOURCE
@@ -1965,4 +1965,4 @@ WHERE
UNION ALL UNION ALL
SELECT SELECT
'全国' '全国'
) )

381
Retail/04 map_to_dws_table.ipynb Normal file
View File

@@ -0,0 +1,381 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 0,
"metadata": {
"application/vnd.databricks.v1+cell": {
"cellMetadata": {},
"inputWidgets": {},
"nuid": "4d16488f-0327-4ced-b23f-41f960a90d2f",
"showTitle": false,
"tableResultSettingsMap": {},
"title": ""
}
},
"outputs": [],
"source": [
"############################################################START##############################################################\n",
"### STEP-1: insert splited pack data into tmp final table: tmp_retail_final_sales"
]
},
{
"cell_type": "code",
"execution_count": 0,
"metadata": {
"application/vnd.databricks.v1+cell": {
"cellMetadata": {
"byteLimit": 2048000,
"implicitDf": true,
"rowLimit": 10000
},
"inputWidgets": {},
"nuid": "1168666b-255b-44a3-968b-4156c93dad53",
"showTitle": false,
"tableResultSettingsMap": {},
"title": ""
}
},
"outputs": [],
"source": [
"%sql\n",
"-------------------------------------------------------------------------------------\n",
"-- STEP-1: insert splited pack data into tmp final table\n",
"-- insert into tmp_retail_final_sales\n",
"-------------------------------------------------------------------------------------\n",
"\n",
"with tmp_pack as (\n",
" select \n",
" ------------------------------------------------------ \n",
" -- 有月度数据使用月度数据，无月度数据用季度数据去转\n",
" nvl(\n",
" a.month,\n",
" CONCAT(\n",
" SUBSTRING(a.quarter, 1, 4), -- 提取年份（前4位）\n",
" CASE \n",
" WHEN SUBSTRING(a.quarter, 6, 1) = '1' THEN '03' -- Q1 → 03月\n",
" WHEN SUBSTRING(a.quarter, 6, 1) = '2' THEN '06' -- Q2 → 06月\n",
" WHEN SUBSTRING(a.quarter, 6, 1) = '3' THEN '09' -- Q3 → 09月\n",
" WHEN SUBSTRING(a.quarter, 6, 1) = '4' THEN '12' -- Q4 → 12月\n",
" END\n",
" )\n",
" ) as YYYYMM,\n",
" ------------------------------------------------------ \n",
" a.pack_code as iqvia_pack_code,\n",
" a.product_id as zk_product_id,\n",
" case when a.product_desc <> 'others' then a.product_desc else null end as prod_des_c,\n",
" case when a.product_desc <> 'others' then a.product_desc else concat('Others_', a.molecule_desc) end as PROD_MAPPING,\n",
" a.zk_regin as province_city,\n",
" a.level_market as market,\n",
" a.sales_value,\n",
" a.sales_unit,\n",
" ------------------------------------------------------ \n",
" -- counting_unit取值逻辑：\n",
" -- 不能直接取原始pack文件表中的值，改为取pack_property表中counting_unit / unit的值\n",
" a.sales_unit * (b.counting_unit/ coalesce(b.unit,1)) as counting_unit,\n",
" ------------------------------------------------------ \n",
" case when data_flag = 0 then 1 else 2 end as pack_flag,\n",
" case when brand_flag = 1 then 1 else 2 end as brand_flag\n",
" from tmp.tmp_retail_pack_rawdata a\n",
" left join dwd.dwd_gnd_ext_retail_pack_property b \n",
" on a.product_id = b.product_id\n",
"), tmp_has_roc as (\n",
" select\n",
" product_id,\n",
" quarter,\n",
" ------------------------------------------------------ \n",
" -- 有月度数据使用月度数据，无月度数据用季度数据去转\n",
" nvl(\n",
" month,\n",
" CONCAT(\n",
" SUBSTRING(quarter, 1, 4), -- 提取年份（前4位）\n",
" CASE \n",
" WHEN SUBSTRING(quarter, 6, 1) = '1' THEN '03' -- Q1 → 03月\n",
" WHEN SUBSTRING(quarter, 6, 1) = '2' THEN '06' -- Q2 → 06月\n",
" WHEN SUBSTRING(quarter, 6, 1) = '3' THEN '09' -- Q3 → 09月\n",
" WHEN SUBSTRING(quarter, 6, 1) = '4' THEN '12' -- Q4 → 12月\n",
" END\n",
" )\n",
" ) as month,\n",
" ------------------------------------------------------ \n",
" pack_code\n",
" from tmp.tmp_retail_pack_rawdata \n",
" where zk_regin = 'ROC'\n",
"), tmp_pack_this_year_with_roc as (\n",
" select \n",
" * \n",
" from tmp_pack a \n",
" where exists(\n",
" select * from tmp_has_roc b \n",
" where a.YYYYMM = b.month\n",
" and a.iqvia_pack_code = b.pack_code\n",
" and a.zk_product_id = b.product_id\n",
" ) and a.province_city <> '全国'\n",
"), tmp_pack_next_year_with_roc as (\n",
" select \n",
" cast(YYYYMM + 100 as int) as YYYYMM,\n",
" iqvia_pack_code,\n",
" zk_product_id,\n",
" prod_des_c,\n",
" PROD_MAPPING,\n",
" province_city,\n",
" market,\n",
" sales_value as sales_value_ly,\n",
" sales_unit as sales_unit_ly,\n",
" counting_unit as counting_unit_ly,\n",
" pack_flag,\n",
" brand_flag\n",
" from tmp_pack a\n",
" where YYYYMM + 100 <= (select max(YYYYMM) from tmp_pack)\n",
" and exists(\n",
" select * from tmp_has_roc b \n",
" where a.YYYYMM = b.month\n",
" and a.iqvia_pack_code = b.pack_code\n",
" and a.zk_product_id = b.product_id\n",
" ) and a.province_city <> '全国'\n",
"\n",
"), tmp_pack_this_year_without_roc as (\n",
" select \n",
" *\n",
" from tmp_pack a \n",
" where not exists(\n",
" select * from tmp_has_roc b \n",
" where a.YYYYMM = b.month\n",
" and a.iqvia_pack_code = b.pack_code\n",
" and a.zk_product_id = b.product_id\n",
" )\n",
"), tmp_pack_next_year_without_roc as (\n",
" select \n",
" cast(YYYYMM + 100 as int) as YYYYMM,\n",
" iqvia_pack_code,\n",
" zk_product_id,\n",
" prod_des_c,\n",
" PROD_MAPPING,\n",
" province_city,\n",
" market,\n",
" sales_value as sales_value_ly,\n",
" sales_unit as sales_unit_ly,\n",
" counting_unit as counting_unit_ly,\n",
" pack_flag,\n",
" brand_flag\n",
" from tmp_pack a \n",
" where YYYYMM + 100 <= (select max(YYYYMM) from tmp_pack)\n",
" and not exists(\n",
" select * from tmp_has_roc b \n",
" where a.YYYYMM = b.month\n",
" and a.iqvia_pack_code = b.pack_code\n",
" and a.zk_product_id = b.product_id\n",
" )\n",
"), tmp_final_sales as (\n",
" select \n",
" ifnull(a.yyyymm, b.yyyymm) as yyyymm,\n",
" ifnull(a.iqvia_pack_code, b.iqvia_pack_code) as iqvia_pack_code, \n",
" ifnull(a.zk_product_id, b.zk_product_id) as zk_product_id,\n",
" ifnull(a.prod_des_c, b.prod_des_c) as prod_des_c,\n",
" ifnull(a.PROD_MAPPING, b.PROD_MAPPING) as PROD_MAPPING,\n",
" ifnull(a.province_city, b.province_city) as province_city,\n",
" ifnull(a.market, b.market) as market,\n",
" ifnull(a.sales_value, 0) as sales_value,\n",
" ifnull(a.sales_unit, 0) as sales_unit,\n",
" ifnull(a.counting_unit, 0) as counting_unit,\n",
" ifnull(a.pack_flag, b.pack_flag) as pack_flag,\n",
" ifnull(a.brand_flag,b.brand_flag ) as brand_flag,\n",
" ifnull(b.sales_value_ly, 0) as sales_value_ly,\n",
" ifnull(b.sales_unit_ly, 0) as sales_unit_ly,\n",
" ifnull(b.counting_unit_ly, 0) as counting_unit_ly\n",
" from tmp_pack_this_year_with_roc a \n",
" full outer join tmp_pack_next_year_with_roc b \n",
" on a.YYYYMM = b.YYYYMM\n",
" and a.iqvia_pack_code = b.iqvia_pack_code\n",
" and a.zk_product_id = b.zk_product_id\n",
" and a.province_city = b.province_city\n",
"\n",
" union all\n",
"\n",
" select \n",
" ifnull(c.yyyymm, d.yyyymm) as yyyymm,\n",
" ifnull(c.iqvia_pack_code, d.iqvia_pack_code) as iqvia_pack_code, \n",
" ifnull(c.zk_product_id, d.zk_product_id) as zk_product_id,\n",
" ifnull(c.prod_des_c, d.prod_des_c) as prod_des_c,\n",
" ifnull(c.PROD_MAPPING, d.PROD_MAPPING) as PROD_MAPPING,\n",
" 'ROC' as province_city,\n",
" ifnull(c.market, d.market) as market,\n",
" ifnull(c.sales_value, 0) as sales_value,\n",
" ifnull(c.sales_unit, 0) as sales_unit,\n",
" ifnull(c.counting_unit, 0) as counting_unit,\n",
" --ifnull(c.pack_flag, d.pack_flag) as pack_flag,\n",
" 2 as pack_flag, -- 此类没有拆分比例，且pack只有全国的数，pack_flag固定为2\n",
" ifnull(c.brand_flag,d.brand_flag ) as brand_flag,\n",
" ifnull(d.sales_value_ly, 0) as sales_value_ly,\n",
" ifnull(d.sales_unit_ly, 0) as sales_unit_ly,\n",
" ifnull(d.counting_unit_ly, 0) as counting_unit_ly\n",
" from tmp_pack_this_year_without_roc c \n",
" full outer join tmp_pack_next_year_without_roc d \n",
" on c.YYYYMM = d.YYYYMM\n",
" and c.iqvia_pack_code = d.iqvia_pack_code\n",
" and c.zk_product_id = d.zk_product_id\n",
" and c.province_city = d.province_city \n",
")\n",
"\n",
"-- insert overwrite table tmp.tmp_retail_final_sales\n",
"\n",
"-- select\n",
"-- yyyymm,\n",
"-- iqvia_pack_code,\n",
"-- zk_product_id,\n",
"-- prod_des_c,\n",
"-- PROD_MAPPING,\n",
"-- province_city,\n",
"-- market,\n",
"-- sales_value,\n",
"-- sales_value_ly,\n",
"-- sales_unit,\n",
"-- sales_unit_ly,\n",
"-- counting_unit,\n",
"-- counting_unit_ly,\n",
"-- pack_flag,\n",
"-- brand_flag\n",
"-- from tmp_final_sales\n",
"-- order by yyyymm\n",
", tmp_niad_aggregated as (\n",
" select \n",
" concat(left(yyyymm,4),\n",
" case right(yyyymm,2)\n",
" when '01' then 'Q1' when '02' then 'Q1' when '03' then 'Q1'\n",
" when '04' then 'Q2' when '05' then 'Q2' when '06' then 'Q2'\n",
" when '07' then 'Q3' when '08' then 'Q3' when '09' then 'Q3'\n",
" else 'Q4'\n",
" end) as yyyymm_quarter,\n",
" concat(left(yyyymm,4),\n",
" case right(yyyymm,2)\n",
" when '01' then '03' when '02' then '03' when '03' then '03'\n",
" when '04' then '06' when '05' then '06' when '06' then '06'\n",
" when '07' then '09' when '08' then '09' when '09' then '09'\n",
" else '12'\n",
" end) as yyyymm,\n",
" iqvia_pack_code,\n",
" zk_product_id,\n",
" prod_des_c,\n",
" PROD_MAPPING,\n",
" province_city,\n",
" market,\n",
" sum(sales_value) as sales_value,\n",
" sum(sales_unit) as sales_unit,\n",
" sum(counting_unit) as counting_unit,\n",
" max(pack_flag) as pack_flag,\n",
" max(brand_flag) as brand_flag,\n",
" sum(sales_value_ly) as sales_value_ly,\n",
" sum(sales_unit_ly) as sales_unit_ly,\n",
" sum(counting_unit_ly) as counting_unit_ly\n",
" from tmp_final_sales\n",
" where market = 'NIAD'\n",
" group by \n",
" concat(left(yyyymm,4),\n",
" case right(yyyymm,2)\n",
" when '01' then 'Q1' when '02' then 'Q1' when '03' then 'Q1'\n",
" when '04' then 'Q2' when '05' then 'Q2' when '06' then 'Q2'\n",
" when '07' then 'Q3' when '08' then 'Q3' when '09' then 'Q3'\n",
" else 'Q4'\n",
" end),\n",
" concat(left(yyyymm,4),\n",
" case right(yyyymm,2)\n",
" when '01' then '03' when '02' then '03' when '03' then '03'\n",
" when '04' then '06' when '05' then '06' when '06' then '06'\n",
" when '07' then '09' when '08' then '09' when '09' then '09'\n",
" else '12'\n",
" end),\n",
" iqvia_pack_code,\n",
" zk_product_id,\n",
" prod_des_c,\n",
" PROD_MAPPING,\n",
" province_city,\n",
" market\n",
")\n",
"\n",
"-- 最终结果：NIAD 用季度聚合，其他保持原样\n",
"insert overwrite table tmp.tmp_retail_final_sales\n",
"select \n",
" yyyymm,\n",
" iqvia_pack_code,\n",
" zk_product_id,\n",
" prod_des_c,\n",
" PROD_MAPPING,\n",
" province_city,\n",
" market,\n",
" sales_value,\n",
" sales_value_ly,\n",
" sales_unit,\n",
" sales_unit_ly,\n",
" counting_unit,\n",
" counting_unit_ly,\n",
" pack_flag,\n",
" brand_flag\n",
"from (\n",
" select * from tmp_final_sales where market <> 'NIAD'\n",
" union all\n",
" select \n",
" yyyymm,\n",
" iqvia_pack_code,\n",
" zk_product_id,\n",
" prod_des_c,\n",
" PROD_MAPPING,\n",
" province_city,\n",
" market,\n",
" sales_value,\n",
" sales_value_ly,\n",
" sales_unit,\n",
" sales_unit_ly,\n",
" counting_unit,\n",
" counting_unit_ly,\n",
" pack_flag,\n",
" brand_flag\n",
" from tmp_niad_aggregated\n",
") t\n",
"order by yyyymm\n"
]
},
{
"cell_type": "code",
"execution_count": 0,
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"nuid": "efe5e7ee-82b5-46d9-85f7-650756dffbf8",
"showTitle": false,
"tableResultSettingsMap": {},
"title": ""
}
},
"outputs": [],
"source": [
"############################################################END################################################################"
]
}
],
"metadata": {
"application/vnd.databricks.v1+notebook": {
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2
Retail/04 map_to_dws_table.py → Retail/04 map_to_dws_table_backup.py
View File

@@ -206,4 +206,4 @@
# COMMAND ---------- # COMMAND ----------
############################################################END################################################################ ############################################################END################################################################

161
Retail/09 dwd_inc_gnd_ext_retail_nataional.py
View File

@@ -97,81 +97,86 @@ brand_result.write.mode("overwrite").saveAsTable("dwd.dwd_inc_gnd_ext_retail_nat
# COMMAND ---------- # COMMAND ----------
# MAGIC %sql # %sql
# MAGIC /* # /*
# MAGIC 修改时间：20250311 # 修改时间：20250311
# MAGIC 修改人：chenwu # 修改人：chenwu
# MAGIC 修改内容：brand来数频率为 季度来数， 但是 pack 为 月度来数据，需要用季度的数据/3得到月度的 # 修改内容：brand来数频率为 季度来数， 但是 pack 为 月度来数据，需要用季度的数据/3得到月度的
# MAGIC */
# MAGIC insert overwrite table dwd.dwd_inc_gnd_ext_retail_nataional_brand_union_all
# MAGIC with quarterly_table as ( # 修改时间：20260428
# MAGIC select # 修改人：zhanghaoyi
# MAGIC * # 修改内容：上游汇总为季度数据, 无需拆分
# MAGIC from dwd.dwd_inc_gnd_ext_retail_nataional_brand_union_all # */
# MAGIC where market not in ('NIAD','Inhaled Extended Market','布地奈德雾化溶液') # insert overwrite table dwd.dwd_inc_gnd_ext_retail_nataional_brand_union_all
# MAGIC -- 范围内只能是 季度来数据的，如果有月度来数据的需要排除掉 # with quarterly_table as (
# MAGIC ) # select
# MAGIC # *
# MAGIC ,month_table as (--转化成月度数据 # from dwd.dwd_inc_gnd_ext_retail_nataional_brand_union_all
# MAGIC SELECT # where market not in ('NIAD','Inhaled Extended Market','布地奈德雾化溶液')
# MAGIC SUBSTR(q.yq, 1, 4)*100 + -- 提取年份 # -- 范围内只能是 季度来数据的，如果有月度来数据的需要排除掉
# MAGIC LPAD(m.month_num, 2, '0') -- 补零月份 # )
# MAGIC AS YYYYMM -- 月份首日
# MAGIC ,`year` # ,month_table as (--转化成月度数据
# MAGIC ,`quarter` # SELECT
# MAGIC ,yq # SUBSTR(q.yq, 1, 4)*100 + -- 提取年份
# MAGIC ,brand_cat_type # LPAD(m.month_num, 2, '0') -- 补零月份
# MAGIC ,TA # AS YYYYMM -- 月份首日
# MAGIC ,market # ,`year`
# MAGIC ,zk_brand_category # ,`quarter`
# MAGIC ,zk_common_name # ,yq
# MAGIC ,zk_manu_des # ,brand_cat_type
# MAGIC ,rc_name_en # ,TA
# MAGIC ,province_city # ,market
# MAGIC ,ytd # ,zk_brand_category
# MAGIC ,sales_val /3 --除3 # ,zk_common_name
# MAGIC ,sales_vol /3 --除3 # ,zk_manu_des
# MAGIC ,price # ,rc_name_en
# MAGIC ,num_dist_rate # ,province_city
# MAGIC ,weig_dist_rate # ,ytd
# MAGIC ,val_share # ,sales_val /3 --除3
# MAGIC ,vol_share # ,sales_vol /3 --除3
# MAGIC ,key_brand_ytd # ,price
# MAGIC ,key_brand_rank_ytd # ,num_dist_rate
# MAGIC ,top_brand_ytd # ,weig_dist_rate
# MAGIC ,top_brand_ms_ytd # ,val_share
# MAGIC ,top_brand_inc_ms_ytd # ,vol_share
# MAGIC ,top_brand_gr_ytd # ,key_brand_ytd
# MAGIC ,key_brand_qtd # ,key_brand_rank_ytd
# MAGIC ,key_brand_rank_qtd # ,top_brand_ytd
# MAGIC ,top_brand_qtd # ,top_brand_ms_ytd
# MAGIC ,top_brand_ms_qtd # ,top_brand_inc_ms_ytd
# MAGIC ,top_brand_inc_ms_qtd # ,top_brand_gr_ytd
# MAGIC ,top_brand_gr_qtd # ,key_brand_qtd
# MAGIC ,ranked_by # ,key_brand_rank_qtd
# MAGIC ,pack_flag # ,top_brand_qtd
# MAGIC ,etl_insert_dt # ,top_brand_ms_qtd
# MAGIC ,etl_update_dt # ,top_brand_inc_ms_qtd
# MAGIC FROM # ,top_brand_gr_qtd
# MAGIC quarterly_table q # ,ranked_by
# MAGIC LATERAL VIEW EXPLODE( -- 为每季度生成三个月 # ,pack_flag
# MAGIC CASE # ,etl_insert_dt
# MAGIC WHEN RIGHT(q.yq, 2) = 'Q1' THEN ARRAY(1, 2, 3) # ,etl_update_dt
# MAGIC WHEN RIGHT(q.yq, 2) = 'Q2' THEN ARRAY(4, 5, 6) # FROM
# MAGIC WHEN RIGHT(q.yq, 2) = 'Q3' THEN ARRAY(7, 8, 9) # quarterly_table q
# MAGIC WHEN RIGHT(q.yq, 2) = 'Q4' THEN ARRAY(10, 11, 12) # LATERAL VIEW EXPLODE( -- 为每季度生成三个月
# MAGIC END # CASE
# MAGIC ) m AS month_num # WHEN RIGHT(q.yq, 2) = 'Q1' THEN ARRAY(1, 2, 3)
# MAGIC ) # WHEN RIGHT(q.yq, 2) = 'Q2' THEN ARRAY(4, 5, 6)
# MAGIC # WHEN RIGHT(q.yq, 2) = 'Q3' THEN ARRAY(7, 8, 9)
# MAGIC ,other_not_quarterly_table ( # WHEN RIGHT(q.yq, 2) = 'Q4' THEN ARRAY(10, 11, 12)
# MAGIC select # END
# MAGIC * # ) m AS month_num
# MAGIC from dwd.dwd_inc_gnd_ext_retail_nataional_brand_union_all # )
# MAGIC where market in ('NIAD','Inhaled Extended Market','布地奈德雾化溶液')
# MAGIC -- 范围内只能是 月度来数据的 # ,other_not_quarterly_table (
# MAGIC ) # select
# MAGIC # *
# MAGIC select * from month_table # from dwd.dwd_inc_gnd_ext_retail_nataional_brand_union_all
# MAGIC union all # where market in ('NIAD','Inhaled Extended Market','布地奈德雾化溶液')
# MAGIC select * from other_not_quarterly_table # -- 范围内只能是 月度来数据的
# )
# select * from month_table
# union all
# select * from other_not_quarterly_table

177
Retail/09 dwd_inc_gnd_ext_retail_nataional_backup.py Normal file
View File

@@ -0,0 +1,177 @@
# Databricks notebook source
#当更新pack 或品牌 事实数据时需要运行此代码，否则无需运行。
# COMMAND ----------
# MAGIC %sql
# MAGIC update dwd.dwd_gnd_ext_retail_corresponding_relationship set table_name ='dwd.dwd_gnd_ext_retail_nataional_oap' where file_name ='pack-CV-抗血栓2通用名-全国.xlsx';
# MAGIC update dwd.dwd_gnd_ext_retail_corresponding_relationship set table_name ='dwd.dwd_gnd_ext_retail_htn' where file_name ='pack-CV-高血压-化学药-全国.xlsx';
# MAGIC update dwd.dwd_gnd_ext_retail_corresponding_relationship set table_name ='dwd.dwd_gnd_ext_retail_atomizer' where file_name ='pack-雾化器-全国&县域数据.xlsx';
# MAGIC update dwd.dwd_gnd_ext_retail_corresponding_relationship set table_name ='dwd.dwd_gnd_ext_retail_anti_asthma_copd' where file_name ='pack-RE-慢阻肺-全国.xlsx';
# MAGIC update dwd.dwd_gnd_ext_retail_corresponding_relationship set table_name ='dwd.dwd_gnd_ext_zk_brand' where file_name ='Brand-品牌数据报表.xlsx';
# MAGIC update dwd.dwd_gnd_ext_retail_corresponding_relationship set table_name ='dwd.dwd_gnd_ext_retail_statin_xzk' where file_name ='pack-CV-他汀类+血脂康-全国.xlsx';
# MAGIC update dwd.dwd_gnd_ext_retail_corresponding_relationship set table_name ='dwd.dwd_gnd_ext_retail_nataional_rd' where file_name ='pack-RD-肾科-全国.xlsx';
# MAGIC update dwd.dwd_gnd_ext_retail_corresponding_relationship set table_name ='dwd.dwd_gnd_ext_retail_aagsa_ppi_oral' where file_name ='pack-GI-慢性胃炎胃溃疡-全国.xlsx';
# MAGIC update dwd.dwd_gnd_ext_retail_corresponding_relationship set table_name ='dwd.dwd_gnd_ext_retail_nataional_niad' where file_name ='pack-DM-口服降糖化学药.xlsx';
# MAGIC update dwd.dwd_gnd_ext_retail_corresponding_relationship set table_name ='dwd.dwd_gnd_ext_retail_metoprolol_tartrat' where file_name ='pack-CV-酒石酸美托洛尔.xlsx';
# MAGIC
# COMMAND ----------
# brand+ 省份数据自动接入
#获取配置表信息(表名、brand_flag
dfband = spark.sql("""
SELECT DISTINCT table_name tab ,file_name brand_flag FROM dwd.dwd_gnd_ext_retail_corresponding_relationship
where type_name ='BRAND'
""").collect()
def get_union_brand_data(df):
#数据为空
if df == None:
return None
#初始化结果集
union_query = None
for table in df:
# 选择当前表名
T = str(table.tab)
# 获取对应brand表维度对应得 market 名称
pack_flag = str(table.brand_flag)
sql = f"""
select
cast(left(quarter, 4)*100 + right(quarter,1)*3 as int ) AS YYYYMM
,cast(left(quarter, 4) as int ) AS year
,right(quarter, 2) AS quarter
,quarter AS yq
,type AS brand_cat_type
,case when ta = 'NIAD' then 'DM' else ta end AS TA
,market AS market
,zk_brand_category AS zk_brand_category
,zk_common_name AS zk_common_name
,zk_manu_des AS zk_manu_des
,rc_name_en AS rc_name_en
,province_city AS province_city
,ytd AS ytd
,cast(sales_value * 1000000 as decimal(30,10)) AS sales_val
,cast(sales_volume * 1000000 as decimal(30,10)) AS sales_vol
,cast(price as decimal(30,10)) as price
,cast(num_dist_rate as decimal(30,10)) as num_dist_rate
,cast(weig_dist_rate as decimal(30,10)) as weig_dist_rate
,cast(value_share as decimal(30,10)) as val_share
,cast(volume_share as decimal(30,10)) as vol_share
,replace(key_brand_ytd,'-','') as key_brand_ytd
,cast(replace(key_brand_rank_ytd,'-','0') as int) as key_brand_rank_ytd
,replace(top_brand_ytd,'-','') as top_brand_ytd
,cast(replace(top_brand_ms_ytd,'-','0') as decimal(30,10)) as top_brand_ms_ytd
,cast(replace(top_brand_inc_ms_ytd,'-','0') as decimal(30,10)) as top_brand_inc_ms_ytd
,cast(replace(top_brand_gr_ytd,'-','0') as decimal(30,10)) as top_brand_gr_ytd
,replace(key_brand_qtd,'-','') as key_brand_qtd
,cast(replace(key_brand_rank_qtd,'-','0') as int) as key_brand_rank_qtd
,replace(top_brand_qtd,'-','') as top_brand_qtd
,cast(replace(top_brand_ms_qtd,'-','0') as decimal(30,10)) as top_brand_ms_qtd
,cast(replace(top_brand_inc_ms_qtd,'-','0') as decimal(30,10)) as top_brand_inc_ms_qtd
,cast(replace(top_brand_gr_qtd,'-','0') as decimal(30,10)) as top_brand_gr_qtd
,ranked_by as ranked_by
,'{pack_flag}' as pack_flag
,from_utc_timestamp(current_timestamp(),'UTC+8') as etl_insert_dt
,from_utc_timestamp(current_timestamp(),'UTC+8') as etl_update_dt
from {T}
"""
# 读取数据
current_query = spark.sql(sql)
#union 数据
if union_query == None:
union_query = current_query
else:
union_query = union_query.union(current_query)
#返回数据集 / 写入表也行？？？
return union_query
brand_result = get_union_brand_data(dfband)
brand_result.write.mode("overwrite").saveAsTable("dwd.dwd_inc_gnd_ext_retail_nataional_brand_union_all")
# COMMAND ----------
# MAGIC %md
# MAGIC ###新逻辑
# MAGIC - 修改brand数据，先拆分成月维度的数据
# COMMAND ----------
# MAGIC %sql
# MAGIC /*
# MAGIC 修改时间：20250311
# MAGIC 修改人：chenwu
# MAGIC 修改内容：brand来数频率为 季度来数， 但是 pack 为 月度来数据，需要用季度的数据/3得到月度的
# MAGIC */
# MAGIC insert overwrite table dwd.dwd_inc_gnd_ext_retail_nataional_brand_union_all
# MAGIC with quarterly_table as (
# MAGIC select
# MAGIC *
# MAGIC from dwd.dwd_inc_gnd_ext_retail_nataional_brand_union_all
# MAGIC where market not in ('NIAD','Inhaled Extended Market','布地奈德雾化溶液')
# MAGIC -- 范围内只能是 季度来数据的，如果有月度来数据的需要排除掉
# MAGIC )
# MAGIC
# MAGIC ,month_table as (--转化成月度数据
# MAGIC SELECT
# MAGIC SUBSTR(q.yq, 1, 4)*100 + -- 提取年份
# MAGIC LPAD(m.month_num, 2, '0') -- 补零月份
# MAGIC AS YYYYMM -- 月份首日
# MAGIC ,`year`
# MAGIC ,`quarter`
# MAGIC ,yq
# MAGIC ,brand_cat_type
# MAGIC ,TA
# MAGIC ,market
# MAGIC ,zk_brand_category
# MAGIC ,zk_common_name
# MAGIC ,zk_manu_des
# MAGIC ,rc_name_en
# MAGIC ,province_city
# MAGIC ,ytd
# MAGIC ,sales_val /3 --除3
# MAGIC ,sales_vol /3 --除3
# MAGIC ,price
# MAGIC ,num_dist_rate
# MAGIC ,weig_dist_rate
# MAGIC ,val_share
# MAGIC ,vol_share
# MAGIC ,key_brand_ytd
# MAGIC ,key_brand_rank_ytd
# MAGIC ,top_brand_ytd
# MAGIC ,top_brand_ms_ytd
# MAGIC ,top_brand_inc_ms_ytd
# MAGIC ,top_brand_gr_ytd
# MAGIC ,key_brand_qtd
# MAGIC ,key_brand_rank_qtd
# MAGIC ,top_brand_qtd
# MAGIC ,top_brand_ms_qtd
# MAGIC ,top_brand_inc_ms_qtd
# MAGIC ,top_brand_gr_qtd
# MAGIC ,ranked_by
# MAGIC ,pack_flag
# MAGIC ,etl_insert_dt
# MAGIC ,etl_update_dt
# MAGIC FROM
# MAGIC quarterly_table q
# MAGIC LATERAL VIEW EXPLODE( -- 为每季度生成三个月
# MAGIC CASE
# MAGIC WHEN RIGHT(q.yq, 2) = 'Q1' THEN ARRAY(1, 2, 3)
# MAGIC WHEN RIGHT(q.yq, 2) = 'Q2' THEN ARRAY(4, 5, 6)
# MAGIC WHEN RIGHT(q.yq, 2) = 'Q3' THEN ARRAY(7, 8, 9)
# MAGIC WHEN RIGHT(q.yq, 2) = 'Q4' THEN ARRAY(10, 11, 12)
# MAGIC END
# MAGIC ) m AS month_num
# MAGIC )
# MAGIC
# MAGIC ,other_not_quarterly_table (
# MAGIC select
# MAGIC *
# MAGIC from dwd.dwd_inc_gnd_ext_retail_nataional_brand_union_all
# MAGIC where market in ('NIAD','Inhaled Extended Market','布地奈德雾化溶液')
# MAGIC -- 范围内只能是 月度来数据的
# MAGIC )
# MAGIC
# MAGIC select * from month_table
# MAGIC union all
# MAGIC select * from other_not_quarterly_table