This happens when a customer places identical orders and specifies that
they be shipped in different seasons. We end up with one order shipped
in 2023 and one open for 2024. Under our current operating procedures,
open orders are subtracted from shipped orders and are presented as
baseline for the next forecast. The zero that appears in the baseline in
this case was causing all kinds of issues in the SQL scripts for
inserting the adjustments, ranging from finding zero rows to adjust to
division by zero.
Another change required to correct this was updating the iter value of
the open orders from 'actuals' to 'copy':
UPDATE rlarp.osm_pool
SET iter = 'copy'
WHERE tag = 'open-orders'
325 lines
9.5 KiB
SQL
325 lines
9.5 KiB
SQL
WITH
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target AS (select incr_qty qincr)
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,testv AS (
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SELECT
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sum(units) tot
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,sum(units) FILTER (WHERE iter IN ('copy','plan','diff')) base
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,sum(units) FILTER (WHERE module = 'new basket') newpart
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FROM
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rlarp.osm_pool p
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WHERE
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-----------------scenario----------------------------
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where_clause
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-----------------additional params-------------------
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AND calc_status||flag <> 'CLOSEDREMAINDER' --exclude short ships when building order adjustments
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AND ( order_date <= ship_date OR tag = 'open-orders')
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)
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-- select * from testv
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--
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,flagv AS (
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SELECT
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tot
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,base
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,newpart
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,CASE WHEN tot = 0 THEN
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CASE WHEN base = 0 THEN
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CASE WHEN newpart = 0 THEN
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'unclean data. tested -> does not exist'
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ELSE
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'scale new part'
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END
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ELSE
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'scale copy'
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END
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ELSE
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'scale all'
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END flag
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FROM
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testv
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)
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-- select * from flagv
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--
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,basemix AS (
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SELECT
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fspr
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,plnt ---master data
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,promo --history date mix
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,terms
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,bill_cust_descr --history cust mix
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,ship_cust_descr --history cust mix
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,dsm
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,quota_rep_descr --master data
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,director
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,billto_group --master data
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,shipto_group
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,chan --master data
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,chansub
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,chan_retail
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,part
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,part_descr
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,part_group
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,branding
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,majg_descr
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,ming_descr
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,majs_descr
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,mins_descr
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,segm
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,substance
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,fs_line --master data
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,r_currency --history cust mix
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,coalesce(r_rate,1) as r_rate --master data
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,c_currency --master data
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,coalesce(c_rate,1) as c_rate --master data
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,sum(coalesce(units,0)) units --history value
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,sum(coalesce(value_loc,0)) value_loc --history value
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,sum(coalesce(value_usd,0)) value_usd --0
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,sum(coalesce(cost_loc,0)) cost_loc --history part mix
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,sum(coalesce(cost_usd,0)) cost_usd
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,sum(coalesce(pounds,0)) pounds
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,calc_status --0
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,flag --0
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,order_date --history date mix
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,order_month
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,order_season
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,request_date --history date mix
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,request_month
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,request_season
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,ship_date --history date mix
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,ship_month
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,ship_season
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FROM
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rlarp.osm_pool
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WHERE
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-----------------scenario----------------------------
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where_clause
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-----------------additional params-------------------
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AND CASE (SELECT flag FROM flagv)
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WHEN 'scale all' THEN true
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WHEN 'scale copy' THEN iter IN ('copy','plan','diff')
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WHEN 'scale new part' THEN module = 'new basket'
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END
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AND calc_status||flag <> 'CLOSEDREMAINDER' --exclude short ships when building order adjustments
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AND (order_date <= ship_date AND tag <> 'open-orders')
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GROUP BY
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fspr
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,plnt ---master data
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,promo --history date mix
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,terms
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,bill_cust_descr --history cust mix
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,ship_cust_descr --history cust mix
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,dsm
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,quota_rep_descr --master data
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,director
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,billto_group --master data
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,shipto_group
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,chan --master data
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,chansub
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,chan_retail
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,part
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,part_descr
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,part_group
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,branding
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,majg_descr
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,ming_descr
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,majs_descr
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,mins_descr
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,segm
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,substance
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,fs_line --master data
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,r_currency --history cust mix
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,r_rate --master data
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,c_currency --master data
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,c_rate --master data
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,calc_status --0
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,flag --0
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,order_date --history date mix
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,order_month
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,order_season
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,request_date --history date mix
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,request_month
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,request_season
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,ship_date --history date mix
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,ship_month
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,ship_season
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)
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-- select * from basemix
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--
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,scale AS (
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SELECT
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(SELECT qincr::numeric FROM target) incr
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,(SELECT sum(value_loc *r_rate) FROM basemix) base
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-- If sum(units) = 0, then we're likely working with a single row. We can't
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-- scale 0, no matter how we try, so we just use mod_volume to set the value we want.
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-- When sum(units) <> 0, then we use factor to scale units.
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,CASE
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WHEN (SELECT sum(units)::numeric FROM basemix) = 0
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THEN 0
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ELSE (SELECT qincr::numeric FROM target)/(SELECT sum(units)::numeric FROM basemix)
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END AS factor
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,CASE
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WHEN (SELECT sum(units)::numeric FROM basemix) = 0
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THEN (SELECT qincr::numeric FROM target)
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ELSE 0
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END AS mod_volume
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)
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-- select * from scale
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--
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,log AS (
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INSERT INTO rlarp.osm_log(doc) SELECT $$replace_iterdef$$::jsonb doc RETURNING *
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)
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-- select * from log
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--
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,final AS (
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SELECT
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fspr
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,plnt ---master data
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,promo --history date mix
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,terms
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,bill_cust_descr --history cust mix
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,ship_cust_descr --history cust mix
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,dsm
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,quota_rep_descr --master data
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,director
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,billto_group --master data
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,shipto_group
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,chan --master data
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,chansub
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,chan_retail
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,b.part
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,part_descr
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,part_group
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,b.branding
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,majg_descr
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,ming_descr
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,majs_descr
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,mins_descr
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,segm
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,substance
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,fs_line --master data
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,r_currency --history cust mix
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,r_rate --master data
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,c_currency --master data
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,c_rate --master data
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,round(CASE WHEN s.factor = 0 THEN s.mod_volume ELSE units*s.factor END, 2) units
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,round(value_loc*s.factor, 2) value_loc
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,round(value_usd*s.factor, 2) value_usd
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,round(cost_loc*s.factor, 2) cost_loc
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,round(cost_usd*s.factor, 2) cost_usd
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,calc_status --0
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,flag --0
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,order_date --history date mix
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,order_month
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,order_season
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,request_date --history date mix
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,request_month
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,request_season
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,ship_date --history date mix
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,ship_month
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,ship_season
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,'replace_version' "version"
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,'replace_source'||' volume' iter
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,log.id
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,COALESCE(log.doc->>'tag','') "tag"
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,log.doc->>'message' "comment"
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,log.doc->>'type' module
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,round(CASE
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WHEN s.factor = 0 THEN s.mod_volume * i.nwht * (CASE i.nwun
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WHEN 'KG' THEN 2.2046
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ELSE 1 END)
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ELSE pounds*s.factor END, 2) pounds
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FROM
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basemix b
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CROSS JOIN scale s
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CROSS JOIN log
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LEFT OUTER JOIN "CMS.CUSLG".itemm i ON i.item = b.part
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)
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-- select * from final
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--
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, ins AS (
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INSERT INTO rlarp.osm_pool SELECT * FROM final RETURNING *
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)
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,insagg AS (
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SELECT
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---------customer info-----------------
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bill_cust_descr
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,billto_group
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,ship_cust_descr
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,shipto_group
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,quota_rep_descr
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,director
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,segm
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,substance
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,chan
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,chansub
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---------product info------------------
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,majg_descr
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,ming_descr
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,majs_descr
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,mins_descr
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--,brand
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--,part_family
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,part_group
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,branding
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--,color
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,part_descr
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---------dates-------------------------
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,order_season
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,order_month
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,ship_season
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,ship_month
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,request_season
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,request_month
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,promo
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,version
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,iter
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,logid
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,tag
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,comment
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--------values-------------------------
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,sum(value_loc) value_loc
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,sum(value_usd) value_usd
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,sum(cost_loc) cost_loc
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,sum(cost_usd) cost_usd
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,sum(units) units
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,sum(pounds) pounds
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FROM
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ins
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GROUP BY
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---------customer info-----------------
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bill_cust_descr
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,billto_group
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,ship_cust_descr
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,shipto_group
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,quota_rep_descr
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,director
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,segm
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,substance
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,chan
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,chansub
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---------product info------------------
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,majg_descr
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,ming_descr
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,majs_descr
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,mins_descr
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--,brand
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--,part_family
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,part_group
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,branding
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--,color
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,part_descr
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---------dates-------------------------
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,order_season
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,order_month
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,ship_season
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,ship_month
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,request_season
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,request_month
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,promo
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,version
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,iter
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,logid
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,tag
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,comment
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)
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SELECT json_agg(row_to_json(insagg)) x from insagg
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