isolate and remove pull-forward as an iteration
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@ -77,15 +77,191 @@ tdr AS (
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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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,SUM(p.plan_units) OVER (PARTITION BY p.billto_group, p.shipto_group, p.part_group ORDER BY p.order_date, p.ship_date) plan_units_agg
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,p.diff_units
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,SUM(p.diff_units) OVER (PARTITION BY p.billto_group, p.shipto_group, p.part_group ORDER BY p.order_date, p.ship_date) diff_units_agg
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,p.booked
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,round(p.plan_units,2) plan_units
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,round(SUM(p.plan_units) FILTER (WHERE order_date >= (SELECT upper(arange) 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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,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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FROM
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planned p
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)
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SELECT * FROM plan_ranked LIMIT 1000;
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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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$${
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"message":"force accounts to match target total value and margin",
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"tag":"retail plug",
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"type":"build"
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}$$::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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--,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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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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--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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--,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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-----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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--ROLLBACK;
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