# name: test/optimizer/joins/tpcds_nofail.test
# description: TPCDS queries that force the Join optimizer to emit 10000+ pairs. Tests the approx algorithm throws no errors
# group: [joins]

require tpcds

statement ok
CALL dsdgen(sf=0.01);

statement ok
WITH cs_ui AS
  (SELECT cs_item_sk,
          sum(cs_ext_list_price) AS sale,
          sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit) AS refund
   FROM catalog_sales,
        catalog_returns
   WHERE cs_item_sk = cr_item_sk
     AND cs_order_number = cr_order_number
   GROUP BY cs_item_sk
   HAVING sum(cs_ext_list_price)>2*sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit)),
     cross_sales AS
  (SELECT i_product_name product_name,
          i_item_sk item_sk,
          s_store_name store_name,
          s_zip store_zip,
          ad1.ca_street_number b_street_number,
          ad1.ca_street_name b_street_name,
          ad1.ca_city b_city,
          ad1.ca_zip b_zip,
          ad2.ca_street_number c_street_number,
          ad2.ca_street_name c_street_name,
          ad2.ca_city c_city,
          ad2.ca_zip c_zip,
          d1.d_year AS syear,
          d2.d_year AS fsyear,
          d3.d_year s2year,
          count(*) cnt,
          sum(ss_wholesale_cost) s1,
          sum(ss_list_price) s2,
          sum(ss_coupon_amt) s3
   FROM store_sales,
        store_returns,
        cs_ui,
        date_dim d1,
        date_dim d2,
        date_dim d3,
        store,
        customer,
        customer_demographics cd1,
        customer_demographics cd2,
        promotion,
        household_demographics hd1,
        household_demographics hd2,
        customer_address ad1,
        customer_address ad2,
        income_band ib1,
        income_band ib2,
        item
   WHERE  ss_sold_date_sk = d1.d_date_sk
     AND ss_customer_sk = c_customer_sk
     AND ss_cdemo_sk= cd1.cd_demo_sk
     AND ss_hdemo_sk = hd1.hd_demo_sk
     AND ss_addr_sk = ad1.ca_address_sk
     AND ss_item_sk = i_item_sk
     AND ss_item_sk = sr_item_sk
     AND ss_ticket_number = sr_ticket_number
     AND ss_item_sk = cs_ui.cs_item_sk
     AND c_current_cdemo_sk = cd2.cd_demo_sk
     AND c_current_hdemo_sk = hd2.hd_demo_sk
     AND c_current_addr_sk = ad2.ca_address_sk
     AND c_first_sales_date_sk = d2.d_date_sk
     AND c_first_shipto_date_sk = d3.d_date_sk
     AND hd1.hd_income_band_sk = ib1.ib_income_band_sk
     AND hd2.hd_income_band_sk = ib2.ib_income_band_sk
     AND cd1.cd_marital_status <> cd2.cd_marital_status
     AND i_color IN ('purple',
                     'burlywood',
                     'indian',
                     'spring',
                     'floral',
                     'medium')
     AND i_current_price BETWEEN 64 AND 64 + 10
     AND i_current_price BETWEEN 64 + 1 AND 64 + 15
   GROUP BY i_product_name,
            i_item_sk,
            s_store_name,
            s_zip,
            ad1.ca_street_number,
            ad1.ca_street_name,
            ad1.ca_city,
            ad1.ca_zip,
            ad2.ca_street_number,
            ad2.ca_street_name,
            ad2.ca_city,
            ad2.ca_zip,
            d1.d_year,
            d2.d_year,
            d3.d_year)
SELECT cs1.product_name,
       cs1.store_name,
       cs1.store_zip,
       cs1.b_street_number,
       cs1.b_street_name,
       cs1.b_city,
       cs1.b_zip,
       cs1.c_street_number,
       cs1.c_street_name,
       cs1.c_city,
       cs1.c_zip,
       cs1.syear cs1syear,
       cs1.cnt cs1cnt,
       cs1.s1 AS s11,
       cs1.s2 AS s21,
       cs1.s3 AS s31,
       cs2.s1 AS s12,
       cs2.s2 AS s22,
       cs2.s3 AS s32,
       cs2.syear,
       cs2.cnt
FROM cross_sales cs1,
     cross_sales cs2
WHERE cs1.item_sk=cs2.item_sk
  AND cs1.syear = 1999
  AND cs2.syear = 1999 + 1
  AND cs2.cnt <= cs1.cnt
  AND cs1.store_name = cs2.store_name
  AND cs1.store_zip = cs2.store_zip
ORDER BY cs1.product_name,
         cs1.store_name,
         cs2.cnt,
         cs1.s1,
         cs2.s1;


statement ok
SELECT CASE
	   WHEN
			  (SELECT count(*)
			   FROM store_sales
			   WHERE ss_quantity BETWEEN 1 AND 20) > 74129 THEN
			  (SELECT avg(ss_ext_discount_amt)
			   FROM store_sales
			   WHERE ss_quantity BETWEEN 1 AND 20)
	   ELSE
			  (SELECT avg(ss_net_paid)
			   FROM store_sales
			   WHERE ss_quantity BETWEEN 1 AND 20)
   END bucket1,
   CASE
	   WHEN
			  (SELECT count(*)
			   FROM store_sales
			   WHERE ss_quantity BETWEEN 21 AND 40) > 122840 THEN
			  (SELECT avg(ss_ext_discount_amt)
			   FROM store_sales
			   WHERE ss_quantity BETWEEN 21 AND 40)
	   ELSE
			  (SELECT avg(ss_net_paid)
			   FROM store_sales
			   WHERE ss_quantity BETWEEN 21 AND 40)
   END bucket2,
   CASE
	   WHEN
			  (SELECT count(*)
			   FROM store_sales
			   WHERE ss_quantity BETWEEN 41 AND 60) > 56580 THEN
			  (SELECT avg(ss_ext_discount_amt)
			   FROM store_sales
			   WHERE ss_quantity BETWEEN 41 AND 60)
	   ELSE
			  (SELECT avg(ss_net_paid)
			   FROM store_sales
			   WHERE ss_quantity BETWEEN 41 AND 60)
   END bucket3,
   CASE
	   WHEN
			  (SELECT count(*)
			   FROM store_sales
			   WHERE ss_quantity BETWEEN 61 AND 80) > 10097 THEN
			  (SELECT avg(ss_ext_discount_amt)
			   FROM store_sales
			   WHERE ss_quantity BETWEEN 61 AND 80)
	   ELSE
			  (SELECT avg(ss_net_paid)
			   FROM store_sales
			   WHERE ss_quantity BETWEEN 61 AND 80)
   END bucket4,
   CASE
	   WHEN
			  (SELECT count(*)
			   FROM store_sales
			   WHERE ss_quantity BETWEEN 81 AND 100) > 165306 THEN
			  (SELECT avg(ss_ext_discount_amt)
			   FROM store_sales
			   WHERE ss_quantity BETWEEN 81 AND 100)
	   ELSE
			  (SELECT avg(ss_net_paid)
			   FROM store_sales
			   WHERE ss_quantity BETWEEN 81 AND 100)
   END bucket5
FROM reason
WHERE r_reason_sk = 1 ;