diff options
Diffstat (limited to 'tests/fixtures/optimizer/tpc-ds/tpc-ds.sql')
| -rw-r--r-- | tests/fixtures/optimizer/tpc-ds/tpc-ds.sql | 179 |
1 files changed, 90 insertions, 89 deletions
diff --git a/tests/fixtures/optimizer/tpc-ds/tpc-ds.sql b/tests/fixtures/optimizer/tpc-ds/tpc-ds.sql index f0f584f..d38c3cc 100644 --- a/tests/fixtures/optimizer/tpc-ds/tpc-ds.sql +++ b/tests/fixtures/optimizer/tpc-ds/tpc-ds.sql @@ -527,10 +527,11 @@ SELECT "t_s_secyear"."customer_last_name" AS "customer_last_name", "t_s_secyear"."customer_preferred_cust_flag" AS "customer_preferred_cust_flag" FROM "year_total" AS "t_s_firstyear" -JOIN "year_total" AS "t_c_secyear" - ON "t_c_secyear"."customer_id" = "t_s_firstyear"."customer_id" - AND "t_c_secyear"."dyear" = 2002 - AND "t_c_secyear"."sale_type" = 'c' +JOIN "year_total" AS "t_c_firstyear" + ON "t_c_firstyear"."customer_id" = "t_s_firstyear"."customer_id" + AND "t_c_firstyear"."dyear" = 2001 + AND "t_c_firstyear"."sale_type" = 'c' + AND "t_c_firstyear"."year_total" > 0 JOIN "year_total" AS "t_s_secyear" ON "t_s_firstyear"."customer_id" = "t_s_secyear"."customer_id" AND "t_s_secyear"."dyear" = 2002 @@ -540,15 +541,10 @@ JOIN "year_total" AS "t_w_firstyear" AND "t_w_firstyear"."dyear" = 2001 AND "t_w_firstyear"."sale_type" = 'w' AND "t_w_firstyear"."year_total" > 0 -JOIN "year_total" AS "t_w_secyear" - ON "t_s_firstyear"."customer_id" = "t_w_secyear"."customer_id" - AND "t_w_secyear"."dyear" = 2002 - AND "t_w_secyear"."sale_type" = 'w' -JOIN "year_total" AS "t_c_firstyear" - ON "t_c_firstyear"."customer_id" = "t_s_firstyear"."customer_id" - AND "t_c_firstyear"."dyear" = 2001 - AND "t_c_firstyear"."sale_type" = 'c' - AND "t_c_firstyear"."year_total" > 0 +JOIN "year_total" AS "t_c_secyear" + ON "t_c_secyear"."customer_id" = "t_s_firstyear"."customer_id" + AND "t_c_secyear"."dyear" = 2002 + AND "t_c_secyear"."sale_type" = 'c' AND CASE WHEN "t_c_firstyear"."year_total" > 0 THEN "t_c_secyear"."year_total" / "t_c_firstyear"."year_total" @@ -558,6 +554,10 @@ JOIN "year_total" AS "t_c_firstyear" THEN "t_s_secyear"."year_total" / "t_s_firstyear"."year_total" ELSE NULL END +JOIN "year_total" AS "t_w_secyear" + ON "t_s_firstyear"."customer_id" = "t_w_secyear"."customer_id" + AND "t_w_secyear"."dyear" = 2002 + AND "t_w_secyear"."sale_type" = 'w' AND CASE WHEN "t_c_firstyear"."year_total" > 0 THEN "t_c_secyear"."year_total" / "t_c_firstyear"."year_total" @@ -1787,6 +1787,10 @@ SELECT "t_s_secyear"."customer_last_name" AS "customer_last_name", "t_s_secyear"."customer_birth_country" AS "customer_birth_country" FROM "year_total" AS "t_s_firstyear" +JOIN "year_total" AS "t_s_secyear" + ON "t_s_firstyear"."customer_id" = "t_s_secyear"."customer_id" + AND "t_s_secyear"."dyear" = 2002 + AND "t_s_secyear"."sale_type" = 's' JOIN "year_total" AS "t_w_firstyear" ON "t_s_firstyear"."customer_id" = "t_w_firstyear"."customer_id" AND "t_w_firstyear"."dyear" = 2001 @@ -1796,10 +1800,6 @@ JOIN "year_total" AS "t_w_secyear" ON "t_s_firstyear"."customer_id" = "t_w_secyear"."customer_id" AND "t_w_secyear"."dyear" = 2002 AND "t_w_secyear"."sale_type" = 'w' -JOIN "year_total" AS "t_s_secyear" - ON "t_s_firstyear"."customer_id" = "t_s_secyear"."customer_id" - AND "t_s_secyear"."dyear" = 2002 - AND "t_s_secyear"."sale_type" = 's' AND CASE WHEN "t_s_firstyear"."year_total" > 0 THEN "t_s_secyear"."year_total" / "t_s_firstyear"."year_total" @@ -1934,7 +1934,7 @@ SELECT AVG("store_sales"."ss_ext_wholesale_cost") AS "_col_2", SUM("store_sales"."ss_ext_wholesale_cost") AS "_col_3" FROM "store_sales" AS "store_sales" -CROSS JOIN "customer_demographics" AS "customer_demographics" +CROSS JOIN "household_demographics" AS "household_demographics" JOIN "customer_address" AS "customer_address" ON ( "customer_address"."ca_address_sk" = "store_sales"."ss_addr_sk" @@ -1957,10 +1957,7 @@ JOIN "customer_address" AS "customer_address" AND "store_sales"."ss_net_profit" <= 300 AND "store_sales"."ss_net_profit" >= 150 ) -JOIN "date_dim" AS "date_dim" - ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk" - AND "date_dim"."d_year" = 2001 -JOIN "household_demographics" AS "household_demographics" +JOIN "customer_demographics" AS "customer_demographics" ON ( "customer_demographics"."cd_demo_sk" = "store_sales"."ss_cdemo_sk" AND "customer_demographics"."cd_education_status" = 'Advanced Degree' @@ -1988,6 +1985,9 @@ JOIN "household_demographics" AS "household_demographics" AND "store_sales"."ss_sales_price" <= 200.00 AND "store_sales"."ss_sales_price" >= 150.00 ) +JOIN "date_dim" AS "date_dim" + ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk" + AND "date_dim"."d_year" = 2001 JOIN "store" AS "store" ON "store"."s_store_sk" = "store_sales"."ss_store_sk"; @@ -2343,16 +2343,18 @@ SELECT "customer_address"."ca_zip" AS "ca_zip", SUM("catalog_sales"."cs_sales_price") AS "_col_1" FROM "catalog_sales" AS "catalog_sales" -JOIN "customer_address" AS "customer_address" - ON "catalog_sales"."cs_sales_price" > 500 - OR "customer_address"."ca_state" IN ('CA', 'WA', 'GA') - OR SUBSTR("customer_address"."ca_zip", 1, 5) IN ('85669', '86197', '88274', '83405', '86475', '85392', '85460', '80348', '81792') +JOIN "customer" AS "customer" + ON "catalog_sales"."cs_bill_customer_sk" = "customer"."c_customer_sk" JOIN "date_dim" AS "date_dim" ON "catalog_sales"."cs_sold_date_sk" = "date_dim"."d_date_sk" AND "date_dim"."d_qoy" = 1 AND "date_dim"."d_year" = 1998 -JOIN "customer" AS "customer" - ON "catalog_sales"."cs_bill_customer_sk" = "customer"."c_customer_sk" +JOIN "customer_address" AS "customer_address" + ON ( + "catalog_sales"."cs_sales_price" > 500 + OR "customer_address"."ca_state" IN ('CA', 'WA', 'GA') + OR SUBSTR("customer_address"."ca_zip", 1, 5) IN ('85669', '86197', '88274', '83405', '86475', '85392', '85460', '80348', '81792') + ) AND "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk" GROUP BY "customer_address"."ca_zip" @@ -2428,7 +2430,7 @@ JOIN "date_dim" AS "date_dim" ON "cs1"."cs_ship_date_sk" = "date_dim"."d_date_sk" AND "date_dim"."d_date" >= '2002-3-01' AND ( - CAST('2002-3-01' AS DATE) + INTERVAL '60' day + CAST('2002-3-01' AS DATE) + INTERVAL '60' DAY ) >= CAST("date_dim"."d_date" AS DATE) WHERE "_u_3"."_u_4" IS NULL @@ -2669,15 +2671,15 @@ SELECT FROM "date_dim" AS "date_dim" JOIN "store_sales" AS "store_sales" ON "date_dim"."d_date_sk" = "store_sales"."ss_sold_date_sk" +JOIN "customer" AS "customer" + ON "customer"."c_customer_sk" = "store_sales"."ss_customer_sk" JOIN "item" AS "item" ON "item"."i_item_sk" = "store_sales"."ss_item_sk" AND "item"."i_manager_id" = 38 -JOIN "store" AS "store" - ON "store"."s_store_sk" = "store_sales"."ss_store_sk" JOIN "customer_address" AS "customer_address" - ON SUBSTR("customer_address"."ca_zip", 1, 5) <> SUBSTR("store"."s_zip", 1, 5) -JOIN "customer" AS "customer" ON "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk" - AND "customer"."c_customer_sk" = "store_sales"."ss_customer_sk" +JOIN "store" AS "store" + ON "store"."s_store_sk" = "store_sales"."ss_store_sk" + AND SUBSTR("customer_address"."ca_zip", 1, 5) <> SUBSTR("store"."s_zip", 1, 5) WHERE "date_dim"."d_moy" = 12 AND "date_dim"."d_year" = 1998 GROUP BY @@ -3109,6 +3111,8 @@ WITH "ssales" AS ( "item"."i_color" AS "i_color", SUM("store_sales"."ss_net_profit") AS "netpaid" FROM "store_sales" AS "store_sales" + JOIN "customer" AS "customer" + ON "customer"."c_customer_sk" = "store_sales"."ss_customer_sk" JOIN "item" AS "item" ON "item"."i_item_sk" = "store_sales"."ss_item_sk" JOIN "store" AS "store" @@ -3117,10 +3121,8 @@ WITH "ssales" AS ( ON "store_returns"."sr_item_sk" = "store_sales"."ss_item_sk" AND "store_returns"."sr_ticket_number" = "store_sales"."ss_ticket_number" JOIN "customer_address" AS "customer_address" - ON "customer_address"."ca_zip" = "store"."s_zip" - JOIN "customer" AS "customer" ON "customer"."c_birth_country" = UPPER("customer_address"."ca_country") - AND "customer"."c_customer_sk" = "store_sales"."ss_customer_sk" + AND "customer_address"."ca_zip" = "store"."s_zip" GROUP BY "customer"."c_last_name", "customer"."c_first_name", @@ -3850,6 +3852,8 @@ JOIN "ss" AS "ss2" ON "ss1"."ca_county" = "ss2"."ca_county" AND "ss2"."d_qoy" = 2 AND "ss2"."d_year" = 2001 JOIN "ws" AS "ws1" ON "ss1"."ca_county" = "ws1"."ca_county" AND "ws1"."d_qoy" = 1 AND "ws1"."d_year" = 2001 +JOIN "ss" AS "ss3" + ON "ss2"."ca_county" = "ss3"."ca_county" AND "ss3"."d_qoy" = 3 AND "ss3"."d_year" = 2001 JOIN "ws" AS "ws2" ON "ws1"."ca_county" = "ws2"."ca_county" AND "ws2"."d_qoy" = 2 @@ -3864,11 +3868,9 @@ JOIN "ws" AS "ws2" ELSE NULL END JOIN "ws" AS "ws3" - ON "ws1"."ca_county" = "ws3"."ca_county" AND "ws3"."d_qoy" = 3 AND "ws3"."d_year" = 2001 -JOIN "ss" AS "ss3" - ON "ss2"."ca_county" = "ss3"."ca_county" - AND "ss3"."d_qoy" = 3 - AND "ss3"."d_year" = 2001 + ON "ws1"."ca_county" = "ws3"."ca_county" + AND "ws3"."d_qoy" = 3 + AND "ws3"."d_year" = 2001 AND CASE WHEN "ss2"."store_sales" > 0 THEN "ss3"."store_sales" / "ss2"."store_sales" @@ -7013,22 +7015,22 @@ SELECT "ss_items"."ss_item_rev" + "cs_items"."cs_item_rev" + "ws_items"."ws_item_rev" ) / 3 AS "average" FROM "ss_items" -JOIN "ws_items" - ON "ss_items"."item_id" = "ws_items"."item_id" - AND "ss_items"."ss_item_rev" <= 1.1 * "ws_items"."ws_item_rev" - AND "ss_items"."ss_item_rev" >= 0.9 * "ws_items"."ws_item_rev" - AND "ws_items"."ws_item_rev" <= 1.1 * "ss_items"."ss_item_rev" - AND "ws_items"."ws_item_rev" >= 0.9 * "ss_items"."ss_item_rev" JOIN "cs_items" ON "cs_items"."cs_item_rev" <= 1.1 * "ss_items"."ss_item_rev" - AND "cs_items"."cs_item_rev" <= 1.1 * "ws_items"."ws_item_rev" AND "cs_items"."cs_item_rev" >= 0.9 * "ss_items"."ss_item_rev" - AND "cs_items"."cs_item_rev" >= 0.9 * "ws_items"."ws_item_rev" AND "cs_items"."item_id" = "ss_items"."item_id" AND "ss_items"."ss_item_rev" <= 1.1 * "cs_items"."cs_item_rev" AND "ss_items"."ss_item_rev" >= 0.9 * "cs_items"."cs_item_rev" +JOIN "ws_items" + ON "cs_items"."cs_item_rev" <= 1.1 * "ws_items"."ws_item_rev" + AND "cs_items"."cs_item_rev" >= 0.9 * "ws_items"."ws_item_rev" + AND "ss_items"."item_id" = "ws_items"."item_id" + AND "ss_items"."ss_item_rev" <= 1.1 * "ws_items"."ws_item_rev" + AND "ss_items"."ss_item_rev" >= 0.9 * "ws_items"."ws_item_rev" AND "ws_items"."ws_item_rev" <= 1.1 * "cs_items"."cs_item_rev" + AND "ws_items"."ws_item_rev" <= 1.1 * "ss_items"."ss_item_rev" AND "ws_items"."ws_item_rev" >= 0.9 * "cs_items"."cs_item_rev" + AND "ws_items"."ws_item_rev" >= 0.9 * "ss_items"."ss_item_rev" ORDER BY "item_id", "ss_item_rev" @@ -7915,17 +7917,18 @@ WITH "cs_ui" AS ( SUM("store_sales"."ss_list_price") AS "s2", SUM("store_sales"."ss_coupon_amt") AS "s3" FROM "store_sales" AS "store_sales" - CROSS JOIN "income_band" AS "ib2" JOIN "customer_address" AS "ad1" ON "ad1"."ca_address_sk" = "store_sales"."ss_addr_sk" + JOIN "customer_demographics" AS "cd1" + ON "cd1"."cd_demo_sk" = "store_sales"."ss_cdemo_sk" JOIN "cs_ui" ON "cs_ui"."cs_item_sk" = "store_sales"."ss_item_sk" + JOIN "customer" AS "customer" + ON "customer"."c_customer_sk" = "store_sales"."ss_customer_sk" JOIN "date_dim" AS "d1" ON "d1"."d_date_sk" = "store_sales"."ss_sold_date_sk" JOIN "household_demographics" AS "hd1" ON "hd1"."hd_demo_sk" = "store_sales"."ss_hdemo_sk" - JOIN "household_demographics" AS "hd2" - ON "hd2"."hd_income_band_sk" = "ib2"."ib_income_band_sk" JOIN "item" AS "item" ON "item"."i_color" IN ('cyan', 'peach', 'blush', 'frosted', 'powder', 'orange') AND "item"."i_current_price" <= 68 @@ -7938,22 +7941,21 @@ WITH "cs_ui" AS ( JOIN "store_returns" AS "store_returns" ON "store_returns"."sr_item_sk" = "store_sales"."ss_item_sk" AND "store_returns"."sr_ticket_number" = "store_sales"."ss_ticket_number" - JOIN "customer" AS "customer" - ON "customer"."c_current_hdemo_sk" = "hd2"."hd_demo_sk" - AND "customer"."c_customer_sk" = "store_sales"."ss_customer_sk" - JOIN "income_band" AS "ib1" - ON "hd1"."hd_income_band_sk" = "ib1"."ib_income_band_sk" JOIN "customer_address" AS "ad2" ON "ad2"."ca_address_sk" = "customer"."c_current_addr_sk" JOIN "customer_demographics" AS "cd2" - ON "cd2"."cd_demo_sk" = "customer"."c_current_cdemo_sk" + ON "cd1"."cd_marital_status" <> "cd2"."cd_marital_status" + AND "cd2"."cd_demo_sk" = "customer"."c_current_cdemo_sk" JOIN "date_dim" AS "d2" ON "customer"."c_first_sales_date_sk" = "d2"."d_date_sk" JOIN "date_dim" AS "d3" ON "customer"."c_first_shipto_date_sk" = "d3"."d_date_sk" - JOIN "customer_demographics" AS "cd1" - ON "cd1"."cd_demo_sk" = "store_sales"."ss_cdemo_sk" - AND "cd1"."cd_marital_status" <> "cd2"."cd_marital_status" + JOIN "household_demographics" AS "hd2" + ON "customer"."c_current_hdemo_sk" = "hd2"."hd_demo_sk" + JOIN "income_band" AS "ib1" + ON "hd1"."hd_income_band_sk" = "ib1"."ib_income_band_sk" + JOIN "income_band" AS "ib2" + ON "hd2"."hd_income_band_sk" = "ib2"."ib_income_band_sk" GROUP BY "item"."i_product_name", "item"."i_item_sk", @@ -9523,8 +9525,8 @@ LEFT JOIN "catalog_returns" AS "catalog_returns" JOIN "customer_demographics" AS "customer_demographics" ON "catalog_sales"."cs_bill_cdemo_sk" = "customer_demographics"."cd_demo_sk" AND "customer_demographics"."cd_marital_status" = 'M' -JOIN "date_dim" AS "d3" - ON "catalog_sales"."cs_ship_date_sk" = "d3"."d_date_sk" +JOIN "date_dim" AS "d1" + ON "catalog_sales"."cs_sold_date_sk" = "d1"."d_date_sk" AND "d1"."d_year" = 2002 JOIN "household_demographics" AS "household_demographics" ON "catalog_sales"."cs_bill_hdemo_sk" = "household_demographics"."hd_demo_sk" AND "household_demographics"."hd_buy_potential" = '501-1000' @@ -9536,14 +9538,13 @@ JOIN "item" AS "item" LEFT JOIN "promotion" AS "promotion" ON "catalog_sales"."cs_promo_sk" = "promotion"."p_promo_sk" JOIN "date_dim" AS "d2" - ON "d2"."d_date_sk" = "inventory"."inv_date_sk" + ON "d1"."d_week_seq" = "d2"."d_week_seq" + AND "d2"."d_date_sk" = "inventory"."inv_date_sk" +JOIN "date_dim" AS "d3" + ON "catalog_sales"."cs_ship_date_sk" = "d3"."d_date_sk" + AND "d3"."d_date" > "d1"."d_date" + INTERVAL '5' DAY JOIN "warehouse" AS "warehouse" ON "inventory"."inv_warehouse_sk" = "warehouse"."w_warehouse_sk" -JOIN "date_dim" AS "d1" - ON "catalog_sales"."cs_sold_date_sk" = "d1"."d_date_sk" - AND "d1"."d_week_seq" = "d2"."d_week_seq" - AND "d1"."d_year" = 2002 - AND "d3"."d_date" > "d1"."d_date" + INTERVAL '5' day GROUP BY "item"."i_item_desc", "warehouse"."w_warehouse_name", @@ -9769,6 +9770,10 @@ SELECT "t_s_secyear"."customer_first_name" AS "customer_first_name", "t_s_secyear"."customer_last_name" AS "customer_last_name" FROM "year_total" AS "t_s_firstyear" +JOIN "year_total" AS "t_s_secyear" + ON "t_s_firstyear"."customer_id" = "t_s_secyear"."customer_id" + AND "t_s_secyear"."sale_type" = 's' + AND "t_s_secyear"."year1" = 2000 JOIN "year_total" AS "t_w_firstyear" ON "t_s_firstyear"."customer_id" = "t_w_firstyear"."customer_id" AND "t_w_firstyear"."sale_type" = 'w' @@ -9778,10 +9783,6 @@ JOIN "year_total" AS "t_w_secyear" ON "t_s_firstyear"."customer_id" = "t_w_secyear"."customer_id" AND "t_w_secyear"."sale_type" = 'w' AND "t_w_secyear"."year1" = 2000 -JOIN "year_total" AS "t_s_secyear" - ON "t_s_firstyear"."customer_id" = "t_s_secyear"."customer_id" - AND "t_s_secyear"."sale_type" = 's' - AND "t_s_secyear"."year1" = 2000 AND CASE WHEN "t_s_firstyear"."year_total" > 0 THEN "t_s_secyear"."year_total" / "t_s_firstyear"."year_total" @@ -11369,8 +11370,8 @@ JOIN "web_page" AS "web_page" JOIN "web_returns" AS "web_returns" ON "web_returns"."wr_item_sk" = "web_sales"."ws_item_sk" AND "web_returns"."wr_order_number" = "web_sales"."ws_order_number" -JOIN "customer_demographics" AS "cd2" - ON "cd2"."cd_demo_sk" = "web_returns"."wr_returning_cdemo_sk" +JOIN "customer_demographics" AS "cd1" + ON "cd1"."cd_demo_sk" = "web_returns"."wr_refunded_cdemo_sk" JOIN "customer_address" AS "customer_address" ON "customer_address"."ca_address_sk" = "web_returns"."wr_refunded_addr_sk" AND ( @@ -11395,8 +11396,8 @@ JOIN "customer_address" AS "customer_address" ) JOIN "reason" AS "reason" ON "reason"."r_reason_sk" = "web_returns"."wr_reason_sk" -JOIN "customer_demographics" AS "cd1" - ON "cd1"."cd_demo_sk" = "web_returns"."wr_refunded_cdemo_sk" +JOIN "customer_demographics" AS "cd2" + ON "cd2"."cd_demo_sk" = "web_returns"."wr_returning_cdemo_sk" AND ( ( "cd1"."cd_education_status" = "cd2"."cd_education_status" @@ -12032,13 +12033,14 @@ SELECT "call_center"."cc_manager" AS "manager", SUM("catalog_returns"."cr_net_loss") AS "returns_loss" FROM "call_center" AS "call_center" -JOIN "household_demographics" AS "household_demographics" - ON "household_demographics"."hd_buy_potential" LIKE 'Unknown%' -JOIN "customer" AS "customer" - ON "customer"."c_current_hdemo_sk" = "household_demographics"."hd_demo_sk" JOIN "catalog_returns" AS "catalog_returns" ON "call_center"."cc_call_center_sk" = "catalog_returns"."cr_call_center_sk" - AND "catalog_returns"."cr_returning_customer_sk" = "customer"."c_customer_sk" +JOIN "customer" AS "customer" + ON "catalog_returns"."cr_returning_customer_sk" = "customer"."c_customer_sk" +JOIN "date_dim" AS "date_dim" + ON "catalog_returns"."cr_returned_date_sk" = "date_dim"."d_date_sk" + AND "date_dim"."d_moy" = 12 + AND "date_dim"."d_year" = 1999 JOIN "customer_address" AS "customer_address" ON "customer"."c_current_addr_sk" = "customer_address"."ca_address_sk" AND "customer_address"."ca_gmt_offset" = -7 @@ -12060,10 +12062,9 @@ JOIN "customer_demographics" AS "customer_demographics" "customer_demographics"."cd_marital_status" = 'M' OR "customer_demographics"."cd_marital_status" = 'W' ) -JOIN "date_dim" AS "date_dim" - ON "catalog_returns"."cr_returned_date_sk" = "date_dim"."d_date_sk" - AND "date_dim"."d_moy" = 12 - AND "date_dim"."d_year" = 1999 +JOIN "household_demographics" AS "household_demographics" + ON "customer"."c_current_hdemo_sk" = "household_demographics"."hd_demo_sk" + AND "household_demographics"."hd_buy_potential" LIKE 'Unknown%' GROUP BY "call_center"."cc_call_center_id", "call_center"."cc_name", @@ -12249,7 +12250,7 @@ JOIN "date_dim" AS "date_dim" ON "date_dim"."d_date" >= '2000-3-01' AND "date_dim"."d_date_sk" = "ws1"."ws_ship_date_sk" AND ( - CAST('2000-3-01' AS DATE) + INTERVAL '60' day + CAST('2000-3-01' AS DATE) + INTERVAL '60' DAY ) >= CAST("date_dim"."d_date" AS DATE) JOIN "web_site" AS "web_site" ON "web_site"."web_company_name" = 'pri' @@ -12339,7 +12340,7 @@ JOIN "date_dim" AS "date_dim" ON "date_dim"."d_date" >= '2000-4-01' AND "date_dim"."d_date_sk" = "ws1"."ws_ship_date_sk" AND ( - CAST('2000-4-01' AS DATE) + INTERVAL '60' day + CAST('2000-4-01' AS DATE) + INTERVAL '60' DAY ) >= CAST("date_dim"."d_date" AS DATE) JOIN "web_site" AS "web_site" ON "web_site"."web_company_name" = 'pri' |