chore(clickhouse): rewrite 64 to avoid horrible cross join performance

ibis/backends/tests/tpc/queries/clickhouse/ds/64.sql

@@ -0,0 +1,125 @@
+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
+   JOIN catalog_returns
+     ON 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
+   JOIN store_returns
+     ON ss_item_sk = sr_item_sk
+      AND ss_ticket_number = sr_ticket_number
+   JOIN cs_ui
+     ON ss_item_sk = cs_ui.cs_item_sk
+   JOIN date_dim d1
+     ON ss_sold_date_sk = d1.d_date_sk
+   JOIN customer
+     ON ss_customer_sk = c_customer_sk
+   JOIN date_dim d2
+     ON c_first_sales_date_sk = d2.d_date_sk
+   JOIN date_dim d3
+     ON c_first_shipto_date_sk = d3.d_date_sk
+   JOIN store
+     ON ss_store_sk = s_store_sk
+   JOIN customer_demographics cd1
+     ON ss_cdemo_sk= cd1.cd_demo_sk
+   JOIN customer_demographics cd2
+     ON cd1.cd_marital_status <> cd2.cd_marital_status
+     AND c_current_cdemo_sk = cd2.cd_demo_sk
+   JOIN promotion
+     ON ss_promo_sk = p_promo_sk
+   JOIN household_demographics hd1
+     ON ss_hdemo_sk = hd1.hd_demo_sk
+   JOIN household_demographics hd2
+     ON c_current_hdemo_sk = hd2.hd_demo_sk
+   JOIN customer_address ad1
+     ON ss_addr_sk = ad1.ca_address_sk
+   JOIN customer_address ad2
+     ON c_current_addr_sk = ad2.ca_address_sk
+   JOIN income_band ib1
+     ON hd1.hd_income_band_sk = ib1.ib_income_band_sk
+   JOIN income_band ib2
+     ON hd2.hd_income_band_sk = ib2.ib_income_band_sk
+   JOIN item
+     ON ss_item_sk = i_item_sk
+   WHERE
+     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
+JOIN cross_sales cs2
+  ON cs1.item_sk=cs2.item_sk
+    AND cs2.cnt <= cs1.cnt
+    AND cs1.store_name = cs2.store_name
+    AND cs1.store_zip = cs2.store_zip
+WHERE cs1.syear = 1999
+  AND cs2.syear = 1999 + 1
+ORDER BY cs1.product_name,
+         cs1.store_name,
+         cs2.cnt,
+         cs1.s1,
+         cs2.s1;