113 lines
3.5 KiB
SQL
113 lines
3.5 KiB
SQL
-- Databricks notebook source
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-- MAGIC %run ../../../Common/config
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-- COMMAND ----------
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-- MAGIC %python
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-- MAGIC spark.read.table(f'`{CDW_CATALOG}`.`dwd`.`dim_product_wide`').createOrReplaceTempView('cdw_dwd_dim_product_wide')
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-- MAGIC spark.read.table(f'`{CDW_CATALOG}`.`dwd`.`dwd_hospital_classification`').createOrReplaceTempView('cdw_dwd_dwd_hospital_classification')
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-- COMMAND ----------
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--连续取数机构
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----------------------------------------------------------------------------------------------------------------------
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--修改时间：20241029
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--修改人：FanXujia
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--修改内容：
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--根据事实表最新月，往前推12个月（含最新月），按机构 + 年月粒度汇总，如果每个月销量都不等于0，这家机构称为：滚动一年有数
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--根据事实表最新月，往前推24个月（含最新月），按机构 + 年月粒度汇总，如果每个月销量都不等于0，这家机构称为：滚动两年有数
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--2022年没有销量为正常情况，判断时仅考虑2023年01月起销量是否等于0
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----------------------------------------------------------------------------------------------------------------------
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insert overwrite table dm.dm_aia_provided_flag
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with max_ym as (
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select max(ym) as max_ym
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from dm.dm_ext_aia_sales
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)
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,ym_range as (
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select max_ym,
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case when max_ym <= '202412' then cast(right(max_ym,2) as int)
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else cast(12 as int)
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end ym_12m,
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case when max_ym <= '202312' then '202401'
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when right(max_ym,2) = '12' then concat(left(max_ym,4),'01')
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else concat(cast(left(max_ym, 4) - 1 as int),right(concat('0', cast(right(max_ym, 2) + 1 as int)), 2))
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end as ym_12m_before,
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case when max_ym <= '202312' then cast(right(max_ym,2) as int)
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when max_ym <= '202512' then cast(right(max_ym,2) as int) + 12
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else cast(24 as int)
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end as ym_24m,
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case when max_ym <= '202512' then '202401'
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when right(max_ym,2) = '12' then concat(cast(left(max_ym,4) - 1 as int),'01')
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else concat(cast(left(max_ym, 4) -2 as int),right(concat('0', cast(right(max_ym, 2) + 1 as int)), 2))
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end as ym_24m_before
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from max_ym
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)
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,sales_1 as (
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select
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inst_code,
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ym
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from
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dm.dm_ext_aia_sales
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group by
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ym,
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inst_code
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having
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sum(value) <> 0
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)
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,sales_2 as (
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select
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t1.inst_code,
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t1.ym,
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t2.max_ym,
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t2.ym_12m,
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t2.ym_12m_before,
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t2.ym_24m,
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t2.ym_24m_before
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from sales_1 t1
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cross join ym_range t2
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)
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,flag_12m as (
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select inst_code,
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'滚动一年有数' as aia_provided_flag,
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'AIA(Monthly)' as DATA_SOURCE
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from sales_2
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where ym <= max_ym
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and ym >= ym_12m_before
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group by inst_code
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having count(1) = (select ym_12m from ym_range)
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)
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,flag_24m as (
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select inst_code,
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'滚动两年有数' as aia_provided_flag,
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'AIA(Monthly)' as DATA_SOURCE
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from sales_2
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where ym <= max_ym
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and ym >= ym_24m_before
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group by inst_code
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having count(1) = (select ym_24m from ym_range)
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)
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select inst_code,
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aia_provided_flag,
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DATA_SOURCE
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from flag_12m
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union all
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select inst_code,
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aia_provided_flag,
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DATA_SOURCE
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from flag_24m
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union all
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select '' as inst_code,'' as aia_provided_flag,'IQVIA-CHPA(Monthly)' as data_source
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union all
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select '' as inst_code,'' as aia_provided_flag,'XH Data(Quarterly)' as data_source
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union all
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select '' as inst_code,'' as aia_provided_flag,'EC(Monthly)' as data_source
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union all
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select '' as inst_code,'' as aia_provided_flag,'Retail(Quarterly)' as data_source
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union all
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select '' as inst_code,'' as aia_provided_flag,'CHC(Quarterly)' as data_source
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union all
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select '' as inst_code,'' as aia_provided_flag,'THC(Quarterly)' as data_source
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union all
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select '' as inst_code,'' as aia_provided_flag,'IQVIA-COUNTY(Quarterly)' as data_source
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