28 lines
1.0 KiB
SQL
28 lines
1.0 KiB
SQL
-- Databricks notebook source
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-- 依赖事实表 tmp.tmp_ims_tf_fact_sales； 所以一定要放后面。
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--基于Fact数据动态计算时间维度 最近五年
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insert overwrite table dws.dws_ims_td_date
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select distinct
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YM,
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left(cast(YM as string),4) as YEAR,
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right(cast(YM as string),2) as MONTH,
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concat(
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'Q',quarter(
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date(
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concat(
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left(cast(YM as string),4),'-',right(cast(YM as string),2),'-01'
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)))) as QUARTER,
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concat(
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left(cast(YM as string),4),'Q',quarter(
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date(
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concat(
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left(cast(YM as string),4),'-',right(cast(YM as string),2),'-01'
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)))) as YQ,
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case when YM=(select max(YM) from tmp.tmp_ims_tf_fact_sales) then 'R' else right(cast(YM as string),2) end as DATE_FLAG,
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case when YM%100>6 then concat(left(cast(YM as string),4),'H2') else concat(left(cast(YM as string),4),'H1') end as HALF_YEAR,
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from_utc_timestamp(current_timestamp(),'UTC+8'),
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from_utc_timestamp(current_timestamp(),'UTC+8')
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from tmp.tmp_ims_tf_fact_sales
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where YM > (select max(YM)-900 from tmp.tmp_ims_tf_fact_sales)
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order by YM desc
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; |