2021-07-12 17:55:13 -04:00
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/*
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you have to be able to isolate the original plan in order for this to work
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if you start with a clean 1+11 its not going to work
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this script targets the 'plan' iteration and the 'diff' iteration
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if plan orders have already been 'diffed' no need to build an additional diff
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will have to be side-by-side roll-up of these two iterations
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*/
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--BEGIN;
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--\timing
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--CREATE TABLE IF NOT EXISTS rlarp.osmf_stage AS (SELECT * FROM rlarp.osmf_dev) WITH no data;
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--will not match actuals exactly due to short-ships
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WITH
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---these dates will have to be syncronized with the forecast build-----------
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tdr AS (
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SELECT
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2021-07-15 16:53:21 -04:00
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-----------intented forecast range-----------------------------------
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DATERANGE('2021-06-01','2022-06-01','[)') prange
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-----------explicitly call out overlap period------------------------
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-----------anythign in this period has to net out to match actuals---
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,DATERANGE('2021-06-01','2021-07-12','[]') overlap
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,jsonb_build_array('plan','diff') iter
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2021-07-12 17:55:13 -04:00
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)
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,booked AS materialized(
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SELECT
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billto_group
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,shipto_group
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,part_group
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,sum(units) units
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FROM
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rlarp.osm_pool
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WHERE
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--find actual orders in the overlap range (where orders fall in both target ranges)
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2021-07-15 16:53:21 -04:00
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order_date <@ (SELECT overlap FROM tdr)
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2021-07-12 17:55:13 -04:00
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--anything that falls in this range is supposed to already match actuals, so no need to filter for actuals
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GROUP BY
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billto_group
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,shipto_group
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,part_group
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)
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,planned AS (
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SELECT
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p.billto_group
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,p.shipto_group
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,p.part_group
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,p.order_date
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,p.ship_date
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,sum(p.units) FILTER (WHERE iter = 'plan') plan_units
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,sum(p.units) FILTER (WHERE iter = 'diff') diff_units
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,b.units booked
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FROM
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rlarp.osm_pool p
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INNER JOIN booked b ON
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b.billto_group = p.billto_group AND
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b.shipto_group = p.shipto_group AND
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b.part_group = p.part_group
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WHERE
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--need to be able to isolate the original budget
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--budget orders have already been trued up to match actual, so should not be included in the this isolation
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--find actual orders in the overlap range (where orders fall in both target ranges)
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p.order_date <@ (SELECT prange FROM tdr)
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2021-07-15 16:53:21 -04:00
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AND (SELECT iter FROM tdr) ? p.iter
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2021-07-12 17:55:13 -04:00
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GROUP BY
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p.billto_group
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,p.shipto_group
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,p.part_group
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,p.order_date
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,p.ship_date
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,b.units
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)
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,plan_ranked AS (
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SELECT
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p.billto_group
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,p.shipto_group
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,p.part_group
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,p.order_date
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,p.ship_date
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2021-07-14 15:46:58 -04:00
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,round(p.plan_units,2) plan_units
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2021-07-15 16:53:21 -04:00
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,round(SUM(p.plan_units) FILTER (WHERE order_date >= (SELECT upper(overlap) FROM tdr)) OVER (PARTITION BY p.billto_group, p.shipto_group, p.part_group ORDER BY p.order_date, p.ship_date),2) plan_rolling
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2021-07-14 15:46:58 -04:00
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,round(SUM(p.plan_units) OVER (PARTITION BY p.billto_group, p.shipto_group, p.part_group ),2) plan_units_tot
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--,round(SUM(COALESCE(p.plan_units,0) + COALESCE(p.diff_units,0)) OVER (PARTITION BY p.billto_group, p.shipto_group, p.part_group ORDER BY p.order_date, p.ship_date),2) net_units_agg
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,round(COALESCE(p.diff_units,0) + coalesce(p.plan_units,0),2) net_units
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,round(SUM(COALESCE(p.plan_units,0) + COALESCE(p.diff_units,0)) OVER (PARTITION BY p.billto_group, p.shipto_group, p.part_group),2) net_units_tot
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--,round(p.booked,2) booked
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2021-07-12 17:55:13 -04:00
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FROM
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planned p
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)
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2021-07-14 15:46:58 -04:00
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---flag any rows where
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,eval AS (
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SELECT
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p.billto_group
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,p.shipto_group
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,p.part_group
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,p.order_date
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,p.ship_date
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,p.plan_units
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,p.plan_rolling
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,p.plan_units_tot
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--,p.net_units_agg
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,p.net_units_tot
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,p.net_units
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--,p.booked
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,plan_rolling <= (p.net_units_tot - p.plan_units_tot + plan_units) flag
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--,CASE WHEN (p.plan_units_agg - p.plan_units) > p.booked AND p.plan_units_agg <= p.booked * 2 THEN true ELSE false END remove
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FROM
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plan_ranked p
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)
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--select * from eval limit 10000
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----------------create a log entry--------------------
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,log AS (
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INSERT INTO
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rlarp.osm_log(doc)
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SELECT
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$${
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"message":"remove future orders to the extent the new forecast totals more than the original budget",
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"tag":"1+11",
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2021-07-14 15:46:58 -04:00
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"type":"build"
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}$$::jsonb doc
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RETURNING *
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)
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,remove AS (
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SELECT
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o.fspr
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,o.plnt
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,o.promo
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,o.terms
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,o.bill_cust_descr
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,o.ship_cust_descr
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,o.dsm
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,o.quota_rep_descr
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,o.director
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,o.billto_group
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,o.shipto_group
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,o.chan
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,o.chansub
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,o.chan_retail
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,o.part
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,o.part_descr
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,o.part_group
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,o.branding
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,o.majg_descr
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,o.ming_descr
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,o.majs_descr
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,o.mins_descr
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,o.segm
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,o.substance
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,o.fs_line
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,o.r_currency
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,o.r_rate
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,o.c_currency
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,o.c_rate
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,round(-sum(o.units ),2) units
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,round(-sum(o.value_loc),2) value_loc
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,round(-sum(o.value_usd),2) value_usd
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,round(-sum(o.cost_loc ),2) cost_loc
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,round(-sum(o.cost_usd ),2) cost_usd
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,o.calc_status
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,o.flag
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,o.order_date
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,o.order_month
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,o.order_season
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,o.request_date
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,o.request_month
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,o.request_season
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,o.ship_date
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,o.ship_month
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,o.ship_season
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,'1+11' AS version
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,'pf' iter
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2021-07-15 16:53:21 -04:00
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,log.id
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,coalescE(log.doc->>'tag','') AS "tag"
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,log.doc->>'message' AS "comment"
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,log.doc->>'type' module
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2021-07-14 15:46:58 -04:00
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FROM
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rlarp.osm_pool o
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INNER JOIN eval e ON
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e.billto_group = o.billto_group AND
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e.shipto_group = o.shipto_group AND
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e.part_group = o.part_group AND
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e.order_date = o.order_date AND
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e.ship_date = o.ship_date
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2021-07-15 16:53:21 -04:00
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CROSS JOIN log
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WHERE
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e.flag
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GROUP BY
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o.fspr
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,o.plnt
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,o.promo
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,o.terms
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,o.bill_cust_descr
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,o.ship_cust_descr
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,o.dsm
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,o.quota_rep_descr
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,o.director
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,o.billto_group
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,o.shipto_group
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,o.chan
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,o.chansub
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,o.chan_retail
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,o.part
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,o.part_descr
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,o.part_group
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,o.branding
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,o.majg_descr
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,o.ming_descr
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,o.majs_descr
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,o.mins_descr
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,o.segm
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,o.substance
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,o.fs_line
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,o.r_currency
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,o.r_rate
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,o.c_currency
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,o.c_rate
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,o.calc_status
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,o.flag
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,o.order_date
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,o.order_month
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,o.order_season
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,o.request_date
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,o.request_month
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,o.request_season
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,o.ship_date
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,o.ship_month
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,o.ship_season
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2021-07-15 16:53:21 -04:00
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,log.id
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,coalescE(log.doc->>'tag','')
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,log.doc->>'message'
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,log.doc->>'type'
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2021-07-14 15:46:58 -04:00
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-----some bad forecast swings, if one is removed it's wacky
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-----cap at -1,000,000
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HAVING
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round(-sum(o.value_loc),2) > -1000000
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)
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INSERT INTO rlarp.osm_pool SELECT * FROM remove;
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-------sorted pull-forward scenarios------
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--SELECT
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-- billto_group,
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-- shipto_group,
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-- part_group,
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-- order_date,
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-- ship_date,
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-- SUM(value_usd)
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--FROM
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-- remove
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--GROUP BY
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-- billto_group,
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-- shipto_group,
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-- part_group,
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-- order_date,
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-- ship_date
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--ORDER BY
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-- sum(value_usd) asc
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--LIMIT 1000
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-----pull-forward by month-----
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--SELECT
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-- order_season,
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-- order_month,
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-- SUM(value_usd)
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--FROM
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-- remove
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--GROUP BY
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-- order_season
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-- order_month
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2021-07-12 17:55:13 -04:00
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--ROLLBACK;
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