48 lines
2.0 KiB
SQL
48 lines
2.0 KiB
SQL
--explain analyze
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with line as (SELECT *,
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coalesce((LEAD(dt_from) OVER (PARTITION BY line_key ORDER BY dt_from, agreement_version,line_version)), (select max(dt) from elma.mv_dt)) dt_next
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FROM
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(
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SELECT *,
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MIN(dt_from) OVER (PARTITION BY line_key ORDER BY agreement_version desc,line_version desc) running_min_dt
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FROM elma.mv_line where siv_is_actual AND probability_pc > 0
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) t
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WHERE t.dt_from=t.running_min_dt),
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base_line as (SELECT *,
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coalesce((LEAD(dt_from) OVER (PARTITION BY line_key ORDER BY dt_from, agreement_version,line_version)), (select max(dt) from elma.mv_dt)) dt_next,
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max(agreement_version) OVER (PARTITION BY line_key) max_agr_ver
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FROM
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(
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SELECT *,
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MIN(dt_from) OVER (PARTITION BY line_key ORDER BY agreement_version desc,line_version desc) running_min_dt
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FROM elma.mv_line where siv_is_actual AND deal_status_id IN ('5','6')
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) t
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WHERE t.dt_from=t.running_min_dt)
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select dayscale.dt
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,sum (c.cost/dayscale.monthdays*w.probability_pc/100)
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,max(w.dt_from),max(b.dt_from), max(w.probability_pc)
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,count(*)
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--,w.line_key, w.dt_from, w.dt_to, w.line_version, w.agreement_version, w.deal_status_id, w.contract, w.probability_pc
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from
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elma.mv_dt dayscale
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left outer join line w on (dayscale.dt >=w.dt_from AND dayscale.dt < w.dt_next)
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join elma.mv_component c on (w.siv_uid=c.siv_uid)
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left outer join base_line b on
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(b.agreement_is_actual AND w.line_key = b.line_key AND dayscale.dt >= b.dt_from AND dayscale.dt < b.dt_next
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AND b.agreement_version = (select max(agreement_version) from base_line i where i.line_key = w.line_key AND dayscale.dt >= i.dt_from AND dayscale.dt < i.dt_next AND (w.agreement_version>i.agreement_version OR w.agreement_version IS NULL)))
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where 1=1
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--AND dayscale.dt between '2025-01-01' AND '2025-02-10'
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AND w.line_key='0bfd4bfd-641b-444b-9571-b1ab3b00631e'
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group by dayscale.dt
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order by dayscale.dt
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-- select * from elma.mv_line where line_key='0bfd4bfd-641b-444b-9571-b1ab3b00631e' AND probability_pc=100 order by agreement_version, line_version
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