651 lines
25 KiB
Bash
651 lines
25 KiB
Bash
#!/bin/bash
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echo -e " \n----------- ACCEPTING NUMBER OF DAYS BEFORE THE RUN DATE FOR WHICH THE REPORT IS TO BE RUN --------------\n"
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backDay=$1
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echo $backDay
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echo -e " \n------------- DATE IN THE REQUIRED FORMAT --------------\n"
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reportDate=$(date -d"$backDay day ago" "+%Y-%m-%d")
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date
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echo 'reportDate'=$reportDate
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echo "
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--------------------------OOS -------------------------
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DROP TABLE IF EXISTS raena_analytics.om_oos_soldout_1;
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CREATE TABLE raena_analytics.om_oos_soldout_1 as
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SELECT snp_date_time,
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sku_code,
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inventory
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FROM
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( SELECT snp_date,
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snp_time,
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snp_date_time,
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sku_code,
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inventory,
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row_number() over (partition BY sku_code,cast(snp_date_time AS date)
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ORDER BY snp_date_time DESC,inventory DESC) AS R
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FROM
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( SELECT DISTINCT snp_date,
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snp_time,
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to_timestamp(snp_date || ' ' || snp_time,'YY-MM-DD HH24:MI:SS') +interval'7 hours' AS snp_date_time,
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sku_code,
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inventory
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FROM raena_analytics.inventory_snapshot
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where snp_time+interval'7 hours'>='23:30'
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)A ) B
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WHERE R=1;
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DROP TABLE IF EXISTS raena_analytics.om_oos_soldout_2;
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CREATE TABLE raena_analytics.om_oos_soldout_2 AS
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select *, datediff(day,cast(snp_date_time as date),current_date) as age
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FROM raena_analytics.om_oos_soldout_1;
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DROP TABLE IF EXISTS raena_analytics.om_oos_soldout_2_med;
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CREATE TABLE raena_analytics.om_oos_soldout_2_med AS
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SELECT *,
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CASE
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WHEN age BETWEEN 1 AND 3 THEN '<=3'
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WHEN age BETWEEN 4 AND 7 THEN '4-7'
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WHEN age BETWEEN 8 AND 15 THEN '8-15'
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WHEN age > 15 THEN 'GT 15'
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END AS age_group
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FROM raena_analytics.om_oos_soldout_2
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WHERE age>0;
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DROP TABLE IF EXISTS raena_analytics.om_oos_soldout_3;
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CREATE TABLE raena_analytics.om_oos_soldout_3 AS
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SELECT a.*,
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b.inventory AS Maximum_occurred_inventory
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FROM raena_analytics.om_oos_soldout_2_med a
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INNER JOIN
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(SELECT inventory,
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age_group,
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sku_code
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FROM
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(SELECT inventory,
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age_group,
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sku_code,
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row_number() over (partition BY age_group,sku_code
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ORDER BY Max_inventory DESC) AS R
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FROM
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(SELECT inventory,
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age_group,
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sku_code,
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count(*) AS Max_inventory
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FROM raena_analytics.om_oos_soldout_2_med
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GROUP BY inventory,
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age_group,
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sku_code
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ORDER BY 4 DESC,1) A) AA
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WHERE R=1
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ORDER BY 2,
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3) b ON a.sku_code=b.sku_code
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AND a.age_group=b.age_group ;
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DROP TABLE IF EXISTS raena_analytics.om_oos_soldout_3_med;
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CREATE TABLE raena_analytics.om_oos_soldout_3_med AS
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SELECT a.*,
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b.\"<=3 Maximum_occurred_inventory\",
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\"4-7 Maximum_occurred_inventory\",
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\"8-15 Maximum_occurred_inventory\",
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\"GT 15 Maximum_occurred_inventory\"
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FROM raena_analytics.om_oos_soldout_3 a
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INNER JOIN
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(SELECT DISTINCT sku_code,
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sum(CASE WHEN Age_group IN ('<=3') THEN Maximum_occurred_inventory END) AS \"<=3 Maximum_occurred_inventory\",
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sum(CASE WHEN Age_group IN ('4-7') THEN Maximum_occurred_inventory END) AS \"4-7 Maximum_occurred_inventory\",
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sum(CASE WHEN Age_group IN ('8-15') THEN Maximum_occurred_inventory END) AS \"8-15 Maximum_occurred_inventory\",
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sum(CASE WHEN Age_group IN ('GT 15') THEN Maximum_occurred_inventory END)AS \"GT 15 Maximum_occurred_inventory\"
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FROM raena_analytics.om_oos_soldout_3
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GROUP BY 1
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ORDER BY sku_code) b ON a.sku_code=b.sku_code ;
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DROP TABLE IF EXISTS raena_analytics.om_oos_soldout_3_med_2;
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CREATE TABLE raena_analytics.om_oos_soldout_3_med_2 AS
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SELECT a.*,
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b.sold_out_fl
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FROM raena_analytics.om_oos_soldout_3 a
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INNER JOIN
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(SELECT sku_code,
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sold_out_fl
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FROM
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(SELECT *,
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row_number() over (partition BY sku_code
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ORDER BY sold_out_fl) AS R
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FROM
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(SELECT DISTINCT sku_code,
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CASE WHEN ((age=16
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OR age=17
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OR age=18
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OR age=19)
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AND inventory=0)
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AND (\"8-15 Maximum_occurred_inventory\"=0)
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AND \"4-7 Maximum_occurred_inventory\"=0
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AND \"<=3 Maximum_occurred_inventory\"=0 THEN '1.GT 15 and sold out'
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WHEN (age=8 AND inventory=0)
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AND \"4-7 Maximum_occurred_inventory\"=0
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AND \"<=3 Maximum_occurred_inventory\"=0 THEN '2.8-15 AND sold OUT'
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WHEN ((age=4 OR age=5
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OR age=6)
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AND inventory=0)
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AND \"<=3 Maximum_occurred_inventory\"=0 THEN '3.4-7 and sold out'
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WHEN (age=1 AND inventory=0) THEN '4.<=3 and sold out' ELSE '5.stocked' END AS sold_out_fl
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FROM raena_analytics.om_oos_soldout_3_med
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)A) B
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WHERE R=1) b ON a.sku_code=b.sku_code ;
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DROP TABLE IF EXISTS raena_analytics.om_oos_soldout_4;
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CREATE TABLE raena_analytics.om_oos_soldout_4 AS
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SELECT a.*,
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b.brand_name,
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b.\"EL/PL Flag\", b.give_away,
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b.active_status
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FROM raena_analytics.om_oos_soldout_3_med_2 a
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INNER JOIN
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(SELECT DISTINCT b.name AS brand_name,
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a.sku,
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CASE
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WHEN moqremark = 'NOT ORDER GIVE AWAY ITEM' THEN 'Yes'
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ELSE 'No'
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END give_away,
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CASE
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WHEN a.is_archived = 'true' THEN 'Permanatly_delisted'
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WHEN a.is_delisted = 'true' THEN 'delisted'
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WHEN a.is_archived = 'false'
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AND a.is_delisted = 'false' THEN 'Active'
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END active_status,
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CASE
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WHEN b.name IN ('HISTOIRE NATURELLE',
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'INGRID',
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'W DRESSROOM',
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'FORENCOS',
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'DEWYCEL',
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'GLUTANEX',
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'BELLFLOWER',
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'ONE THING',
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'BEAUSTA') THEN 'EL/PL'
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ELSE 'NA'
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END AS \"EL/PL Flag\"
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FROM raena_catalog_management.product a
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LEFT JOIN raena_catalog_management.brand b ON a.brand_id=b.id
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LEFT JOIN raena_analytics.demand_forecasting_configs c ON a.sku=c.sku) b ON a.sku_code=b.sku ;
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DROP TABLE IF EXISTS raena_analytics.om_oos_soldout_5;
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CREATE TABLE raena_analytics.om_oos_soldout_5 AS
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SELECT a.*,
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coalesce(b.sku_type,'Not Moving') AS sku_type,
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coalesce(b.new_sku_flag,'No') AS new_sku_flag,
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cikarang_runrate,
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surabaya_runrate,
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semarang_runrate,
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medan_runrate,
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makassar_runrate,
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samarinda_runrate,
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total_runrate,
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c.gold_price,
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d.runrate AS \"90_days_runrate\"
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FROM raena_analytics.om_oos_soldout_4 a
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LEFT JOIN raena_analytics.demand_forecast_dashboard_final b ON a.sku_code=b.sku
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LEFT JOIN
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(SELECT DISTINCT sku ,
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CASE
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WHEN is_slash_price='true' then json_extract_path_text(slashed_tier_price,'bf645e97-8a48-4977-8367-e987489760f9',TRUE)
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else json_extract_path_text(tier_price,'bf645e97-8a48-4977-8367-e987489760f9',TRUE)
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END AS gold_price
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FROM raena_catalog_management.product p) c ON a.sku_code=c.sku
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LEFT JOIN
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(SELECT sku,
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sum(oi.quantity)/count(DISTINCT cast(o.created_at AS date)) AS runrate
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FROM raena_order_management.order o
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INNER JOIN raena_order_management.order_item oi ON o.id=oi.order_id
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WHERE cast(o.created_at AS date)>=cast((CURRENT_DATE-90) AS date)
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AND (o.payment_status='Paid' or o.id like 'PL%')
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AND cast(o.is_archived AS varchar)='false'
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GROUP BY sku) d ON a.sku_code=d.sku ;
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DROP TABLE IF EXISTS raena_analytics.om_oos_soldout_6;
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CREATE TABLE raena_analytics.om_oos_soldout_6 AS
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SELECT DISTINCT cast(a.snp_date_time AS date) AS snp_date_time,
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a.sku_code,
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\"90_days_runrate\",
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a.gold_price,
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OOS_days,
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a.sold_out_fl,
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a.active_status,
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a.brand_name,
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\"EL/PL Flag\",
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a.give_away,
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a.sku_type,
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a.new_sku_flag,
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c.total_runrate,
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d.avg_remaining_LM_RV,
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d.avg_All_LM_RV,
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e.PO_Ordered_quantity
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FROM raena_analytics.om_oos_soldout_5 a
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INNER JOIN
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(SELECT sku_code,
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sold_out_fl,
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max(CASE WHEN inventory=0
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AND sold_out_fl='1.GT 15 and sold out'
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AND age>15 THEN age WHEN inventory=0
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AND sold_out_fl='2.8-15 and sold out'
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AND age BETWEEN 8 AND 15 THEN age WHEN inventory=0
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AND sold_out_fl='3.4-7 and sold out'
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AND age BETWEEN 4 AND 7 THEN age WHEN inventory=0
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AND sold_out_fl='4.<=3 and sold out'
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AND age <=3 THEN age END) AS OOS_days
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FROM raena_analytics.om_oos_soldout_5
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WHERE sold_out_fl NOT LIKE '%stocked'
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GROUP BY 1,
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2) b ON a.sku_code=b.sku_code
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LEFT JOIN raena_analytics.demand_forecast_dashboard_final c ON a.sku_code=c.sku
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LEFT JOIN
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(SELECT sku,
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avg(remaining_shipping_fee)/avg(remaining_payment_amount) AS avg_remaining_LM_RV,
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avg(shipping_fee)/avg(payment_amount) AS avg_All_LM_RV
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FROM
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(SELECT DISTINCT sku,
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CASE WHEN (actual_warehouse!=expected_warehouse)
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OR expected_warehouse IS NULL
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AND payment_amount is NOT NULL
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THEN payment_amount END AS remaining_payment_amount,
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CASE WHEN (actual_warehouse!=expected_warehouse)
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OR expected_warehouse ISNULL
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AND payment_amount NOTNULL
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THEN \"Actual Shipping Fee\" END AS remaining_shipping_fee,
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payment_amount,
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\"Actual Shipping Fee\" AS shipping_fee
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FROM
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(SELECT DISTINCT sku,
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actual_warehouse,
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expected_warehouse,
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A.payment_amount,
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CASE WHEN A.sub_order_shipping_id=sb.reference_id AND A.order_id=sb.order_id THEN ((sb.shipping_amount)/(sb.order_weight))*(sb.final_weight)
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WHEN A.order_id = D.id AND (A.sub_order_shipping_id= D.id OR A.sub_order_shipping_id IS NULL) THEN D.shipping_amount
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WHEN A.sub_order_shipping_id=C.id THEN C.shipping_amount END \"Actual Shipping Fee\"
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FROM raena_analytics.rate_sheet_wise_expected_warehouse A
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LEFT JOIN raena_order_management.sales_sub_order_shipment C ON A.sub_order_shipping_id=C.id
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LEFT JOIN raena_order_management.order D ON A.order_id = D.id
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AND (A.sub_order_shipping_id= D.id
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OR A.sub_order_shipping_id IS NULL)
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LEFT JOIN raena_analytics.OM_Logistic_final_shipping_base sb ON A.sub_order_shipping_id=sb.reference_id
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AND A.order_id=sb.order_id
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WHERE A.created_date>=(CURRENT_DATE-90)
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AND A.is_campaign='false')AAA) AA
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WHERE payment_amount!=0
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GROUP BY 1) d ON a.sku_code=d.sku
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LEFT JOIN
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(SELECT raena_code sku,
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coalesce(sum(CASE WHEN warehouse_id = 'CGK WHS' THEN COALESCE(quantity,0) END),0) +
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coalesce(sum(CASE WHEN warehouse_id = 'Makassar WHS' THEN COALESCE(quantity,0) END),0) +
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coalesce(sum(CASE WHEN warehouse_id = 'Medan WHS' THEN COALESCE(quantity,0) END),0) +
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coalesce(sum(CASE WHEN warehouse_id = 'Samarinda WHS' THEN COALESCE(quantity,0) END),0) +
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coalesce(sum(CASE WHEN warehouse_id = 'Semarang WHS' THEN COALESCE(quantity,0) END),0) +
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coalesce(sum(CASE WHEN warehouse_id = 'Surabaya WHS' THEN COALESCE(quantity,0) END),0) PO_Ordered_quantity
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FROM raena_erp_management.inbound_order A
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LEFT JOIN raena_erp_management.inbound_order_sku B ON A.id = B.\"orderIdId\"
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WHERE cast(expected_arrival_date AS date) > CURRENT_DATE -1
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AND received_time IS NULL
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GROUP BY raena_code) e ON a.sku_code=e.sku;
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-------------------restock
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DROP TABLE IF EXISTS raena_analytics.om_oos_restock_1;
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CREATE TABLE raena_analytics.om_oos_restock_1 AS
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SELECT report_date,
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a.sku,
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overall_qty_required_per_day AS restock,
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sku_type,
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brand_name,
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give_away,
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new_sku_flag,
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active_status,
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coalesce(cikarang_project_quantity_to_order,0) AS cikarang_project_quantity_to_order,
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coalesce(surabaya_project_quantity_to_order,0) AS surabaya_project_quantity_to_order,
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coalesce(semarang_project_quantity_to_order,0) AS semarang_project_quantity_to_order,
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coalesce(medan_project_quantity_to_order,0) AS medan_project_quantity_to_order,
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coalesce(makassar_project_quantity_to_order,0) AS makassar_project_quantity_to_order,
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coalesce(semarandi_project_quantity_to_order,0) AS semarandi_project_quantity_to_order ,
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CASE
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WHEN brand_name IN ('HISTOIRE NATURELLE',
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'INGRID',
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'W DRESSROOM',
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'FORENCOS',
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'DEWYCEL',
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'GLUTANEX',
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'BELLFLOWER',
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'ONE THING',
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'BEAUSTA') THEN 'EL/PL'
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ELSE 'NA'
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END AS \"EL/PL Flag\",
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datediff(day,cast(report_date as date),current_date) as age,
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c.gold_price
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FROM raena_analytics.OM_OOS_Base a
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LEFT JOIN
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(SELECT DISTINCT sku ,
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CASE
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WHEN is_slash_price='true' then json_extract_path_text(slashed_tier_price,'bf645e97-8a48-4977-8367-e987489760f9',TRUE)
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else json_extract_path_text(tier_price,'bf645e97-8a48-4977-8367-e987489760f9',TRUE)
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END AS gold_price
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FROM raena_catalog_management.product p) c ON a.sku=c.sku;
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DROP TABLE IF EXISTS raena_analytics.om_oos_restock_1_med;
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CREATE TABLE raena_analytics.om_oos_restock_1_med AS
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SELECT *
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FROM raena_analytics.om_oos_restock_1 unpivot (cnt
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FOR warehouse IN
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(cikarang_project_quantity_to_order,
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surabaya_project_quantity_to_order,
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semarang_project_quantity_to_order,
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medan_project_quantity_to_order,
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makassar_project_quantity_to_order,
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semarandi_project_quantity_to_order));
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DROP TABLE IF EXISTS raena_analytics.om_oos_restock_2;
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CREATE TABLE raena_analytics.om_oos_restock_2 AS
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SELECT *,
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CASE
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WHEN age BETWEEN 1 AND 3 THEN '<=3'
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WHEN age BETWEEN 4 AND 7 THEN '4-7'
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WHEN age BETWEEN 8 AND 15 THEN '8-15'
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WHEN age > 15 THEN 'GT 15'
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END AS age_group
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FROM raena_analytics.om_oos_restock_1_med
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WHERE age>0;
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DROP TABLE IF EXISTS raena_analytics.om_oos_restock_3;
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CREATE TABLE raena_analytics.om_oos_restock_3 AS
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SELECT a.*,
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b.restock AS Maximum_occurred_inventory
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FROM raena_analytics.om_oos_restock_2 a
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INNER JOIN
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(SELECT restock,
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age_group,
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sku,
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warehouse
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FROM
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(SELECT restock,
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age_group,
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warehouse,
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sku,
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row_number() over (partition BY age_group,warehouse,sku
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ORDER BY Max_inventory DESC) AS R
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FROM
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(SELECT cnt AS restock,
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age_group,
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warehouse,
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sku,
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count(*) AS Max_inventory
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FROM raena_analytics.om_oos_restock_2
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GROUP BY cnt,
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age_group,
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warehouse,
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sku
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ORDER BY 5 DESC,1) A) B
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WHERE R=1
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ORDER BY 2,
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3) b ON a.sku=b.sku
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AND a.age_group=b.age_group
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AND a.warehouse=b.warehouse;
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DROP TABLE IF EXISTS raena_analytics.om_oos_restock_4;
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CREATE TABLE raena_analytics.om_oos_restock_4 AS
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SELECT a.*,
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b.\"<=3 Maximum_occurred_inventory\",
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\"4-7 Maximum_occurred_inventory\",
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\"8-15 Maximum_occurred_inventory\",
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\"GT 15 Maximum_occurred_inventory\"
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FROM raena_analytics.om_oos_restock_3 a
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INNER JOIN
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( SELECT DISTINCT sku,
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warehouse,
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sum(CASE WHEN Age_group IN ('<=3') THEN Maximum_occurred_inventory END)AS \"<=3 Maximum_occurred_inventory\",
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sum(CASE WHEN Age_group IN ('4-7') THEN Maximum_occurred_inventory END) AS \"4-7 Maximum_occurred_inventory\",
|
|
sum(CASE WHEN Age_group IN ('8-15') THEN Maximum_occurred_inventory END) AS \"8-15 Maximum_occurred_inventory\",
|
|
sum(CASE WHEN Age_group IN ('GT 15') THEN Maximum_occurred_inventory END)AS \"GT 15 Maximum_occurred_inventory\"
|
|
FROM raena_analytics.om_oos_restock_3
|
|
GROUP BY 1,
|
|
2
|
|
ORDER BY sku ) b ON a.sku=b.sku
|
|
AND a.warehouse=b.warehouse;
|
|
|
|
drop table if exists raena_analytics.om_oos_restock_4_stage1;
|
|
|
|
create table raena_analytics.om_oos_restock_4_stage1
|
|
as
|
|
SELECT sku,
|
|
sold_out_fl,
|
|
warehouse
|
|
FROM
|
|
( SELECT *,
|
|
row_number() over (partition BY sku
|
|
ORDER BY sold_out_fl) AS R
|
|
FROM
|
|
( SELECT DISTINCT sku,
|
|
warehouse,
|
|
CASE WHEN ((age=16)
|
|
AND restock=0)
|
|
AND (\"8-15 Maximum_occurred_inventory\"=0)
|
|
AND \"4-7 Maximum_occurred_inventory\"=0
|
|
AND \"<=3 Maximum_occurred_inventory\"=0
|
|
THEN '1.GT 15 and sold out'
|
|
WHEN (age=8 AND restock=0)
|
|
AND \"4-7 Maximum_occurred_inventory\"=0
|
|
AND \"<=3 Maximum_occurred_inventory\"=0
|
|
THEN '2.8-15 AND s OLD OUT'
|
|
WHEN ((age=4) AND restock=0)
|
|
AND \"<=3 Maximum_occurred_inventory\"=0
|
|
THEN '3.4-7 and sold out'
|
|
WHEN (age=1 AND restock=0)
|
|
THEN '4.<=3 and sold out'
|
|
ELSE '5.stocked' END AS sold_out_fl
|
|
FROM raena_analytics.om_oos_restock_4
|
|
)A )B
|
|
WHERE R=1 ;
|
|
|
|
drop table if exists raena_analytics.om_oos_restock_4_stage2;
|
|
create table raena_analytics.om_oos_restock_4_stage2
|
|
as
|
|
SELECT sku,
|
|
sum(quantity)/count(DISTINCT cast(transaction_date AS date)) AS runrate
|
|
FROM raena_analytics.gm_dashboard
|
|
WHERE cast(transaction_date AS date)>=cast((CURRENT_DATE-90) AS date)
|
|
GROUP BY sku;
|
|
|
|
DROP TABLE IF EXISTS raena_analytics.om_oos_restock_5;
|
|
|
|
CREATE TABLE raena_analytics.om_oos_restock_5 AS
|
|
SELECT a.*,
|
|
b.sold_out_fl,
|
|
c.runrate AS \"90_days_runrate\"
|
|
FROM raena_analytics.om_oos_restock_4 a
|
|
INNER JOIN raena_analytics.om_oos_restock_4_stage1 b ON a.sku=b.sku
|
|
AND a.warehouse=b.warehouse
|
|
LEFT JOIN raena_analytics.om_oos_restock_4_stage2 c ON a.sku=c.sku;
|
|
|
|
|
|
DROP TABLE IF EXISTS raena_analytics.weight_sku_table;
|
|
|
|
|
|
CREATE TABLE raena_analytics.weight_sku_table AS
|
|
SELECT sku,
|
|
CASE
|
|
WHEN weight>=volume_weight THEN weight
|
|
ELSE volume_weight
|
|
END weight
|
|
FROM
|
|
(SELECT a.sku,
|
|
weight,
|
|
(height*width*LENGTH)/6000 AS volume_weight
|
|
FROM raena_catalog_management.product a
|
|
WHERE CLASS<>'Bundle') A;
|
|
|
|
drop table if exists raena_analytics.om_oos_restock_5_stage1;
|
|
|
|
CREATE TABLE raena_analytics.om_oos_restock_5_stage1 AS
|
|
SELECT sku,
|
|
sum(payment_amount)payment_amount,
|
|
sum(quantity)quantity,
|
|
sub_order_shipping_id,
|
|
sum(shipping_amount)shipping_amount
|
|
FROM raena_analytics.rate_sheet_wise_expected_warehouse
|
|
WHERE created_date>=(CURRENT_DATE-90)
|
|
AND is_campaign='false'
|
|
group by 1,4;
|
|
|
|
|
|
|
|
|
|
drop table if exists raena_analytics.om_oos_restock_5_stage2;
|
|
|
|
CREATE TABLE raena_analytics.om_oos_restock_5_stage2 AS
|
|
SELECT DISTINCT A.sku,
|
|
A.payment_amount,
|
|
A.quantity,
|
|
A.sub_order_shipping_id,
|
|
A.shipping_amount \"Actual Shipping Fee\",
|
|
DD.Expected_shipping_fee,
|
|
jsf.expected_JTR_shipping_fee
|
|
FROM
|
|
raena_analytics.om_oos_restock_5_stage1 A
|
|
LEFT JOIN
|
|
(SELECT DISTINCT sub_order_shipping_id,
|
|
Expected_shipping_fee
|
|
FROM raena_analytics.rate_sheet_wise_expected_warehouse_expected_shipping_final
|
|
WHERE Expected_shipping_fee IS NOT NULL ) DD ON A.sub_order_shipping_id=DD.sub_order_shipping_id
|
|
LEFT join
|
|
(SELECT sub_order_shipping_id ,
|
|
expected_JTR_shipping_fee
|
|
FROM raena_analytics.om_shipment_jtr_shipping_fee_base_11
|
|
WHERE expected_JTR_shipping_fee IS NOT NULL) jsf ON A.sub_order_shipping_id=jsf.sub_order_shipping_id;
|
|
|
|
DROP TABLE IF EXISTS raena_analytics.om_shipping_fee_sku_base_stage2;
|
|
|
|
|
|
CREATE TABLE raena_analytics.om_shipping_fee_sku_base_stage2 AS
|
|
SELECT A.*,
|
|
B.weight*Quantity sku_weight,
|
|
CASE
|
|
WHEN (B.weight*Quantity)<1.3 THEN 1
|
|
WHEN (B.weight*Quantity)>=1.3
|
|
AND (ABS((B.weight*Quantity)) - FLOOR(ABS((B.weight*Quantity)))) BETWEEN 0.3 AND 0.999999 THEN FLOOR((B.weight*Quantity))+1
|
|
ELSE FLOOR((B.weight*Quantity))
|
|
END AS final_weight
|
|
FROM
|
|
( SELECT sku,
|
|
payment_amount,
|
|
quantity,
|
|
sub_order_shipping_id,
|
|
coalesce(expected_JTR_shipping_fee,Expected_shipping_fee,\"Actual Shipping Fee\") AS Expected_shipping_fee,
|
|
\"Actual Shipping Fee\"
|
|
from raena_analytics.om_oos_restock_5_stage2) A
|
|
LEFT JOIN raena_analytics.weight_sku_table B ON A.sku = B.sku ;
|
|
|
|
DROP TABLE IF EXISTS raena_analytics.om_shipping_fee_sku_base_stage3;
|
|
|
|
|
|
CREATE TABLE raena_analytics.om_shipping_fee_sku_base_stage3 AS
|
|
SELECT *,
|
|
(sku_weight*\"Actual Shipping Fee\")/sum(sku_weight) over(partition BY sub_order_shipping_id) new_shipment_amount,
|
|
(sku_weight*Expected_shipping_fee)/sum(sku_weight) over(partition BY sub_order_shipping_id) new_expected_shipment_amount
|
|
FROM raena_analytics.om_shipping_fee_sku_base_stage2;
|
|
|
|
DROP TABLE IF EXISTS raena_analytics.om_oos_restock_6;
|
|
|
|
CREATE TABLE raena_analytics.om_oos_restock_6 AS
|
|
SELECT DISTINCT a.report_date,
|
|
a.sku,
|
|
a.sku_type,
|
|
a.brand_name,
|
|
a.give_away,
|
|
a.new_sku_flag,
|
|
a.active_status,
|
|
\"EL/PL Flag\",
|
|
a.age,
|
|
a.gold_price,
|
|
a.cnt,
|
|
a.age_group,
|
|
a.sold_out_fl,
|
|
\"90_days_runrate\",
|
|
b.restock_days,
|
|
c.total_runrate,
|
|
d.avg_remaining_LM_RV,
|
|
d.avg_All_LM_RV
|
|
FROM raena_analytics.om_oos_restock_5 a
|
|
INNER JOIN
|
|
(SELECT sku,
|
|
sold_out_fl,
|
|
max(CASE WHEN restock=0
|
|
AND sold_out_fl='1.GT 15 and sold out'
|
|
AND age>15 THEN age WHEN restock=0
|
|
AND sold_out_fl='2.8-15 and sold out'
|
|
AND age BETWEEN 8 AND 15 THEN age WHEN restock=0
|
|
AND sold_out_fl='3.4-7 and sold out'
|
|
AND age BETWEEN 4 AND 7 THEN age WHEN restock=0
|
|
AND sold_out_fl='4.<=3 and sold out'
|
|
AND age <=3 THEN age END) AS restock_days
|
|
FROM raena_analytics.om_oos_restock_5
|
|
WHERE sold_out_fl NOT LIKE '%stocked'
|
|
GROUP BY 1,
|
|
2) b ON a.sku=b.sku
|
|
LEFT JOIN raena_analytics.demand_forecast_dashboard_final c ON a.sku=c.sku
|
|
LEFT JOIN
|
|
(SELECT sku,
|
|
avg(shipping_fee)/avg(payment_amount) AS avg_remaining_LM_RV,
|
|
avg(new_expected_shipment_amount)/avg(payment_amount) AS avg_All_LM_RV
|
|
FROM
|
|
(SELECT sku, new_expected_shipment_amount, payment_amount,\"Actual Shipping Fee\" AS shipping_fee
|
|
FROM
|
|
(SELECT sku,
|
|
(payment_amount/quantity) AS payment_amount,
|
|
(new_shipment_amount/quantity) AS \"Actual Shipping Fee\", (new_expected_shipment_amount/quantity) AS new_expected_shipment_amount
|
|
FROM raena_analytics.om_shipping_fee_sku_base_stage3
|
|
)A) B
|
|
WHERE payment_amount!=0
|
|
GROUP BY 1) d ON a.sku=d.sku;
|
|
|
|
|
|
" > /home/ec2-user/cronjob/redshift/sql_code/oos_restock_etl.sql
|
|
|
|
psql "host=redshift-cluster-1.cdqj58hfx4p7.ap-southeast-1.redshift.amazonaws.com user=dbadmin dbname=analytics port=5439 password=5qCif6eyY3Kmg4z" -f /home/ec2-user/cronjob/redshift/sql_code/oos_restock_etl.sql
|
|
|