| {"id": 0, "query": "WITH customer_total_return AS\n (SELECT sr_customer_sk AS ctr_customer_sk,\n sr_store_sk AS ctr_store_sk,\n sum(sr_return_amt) AS ctr_total_return\n FROM store_returns,\n date_dim\n WHERE sr_returned_date_sk = d_date_sk\n AND d_year = 2000\n GROUP BY sr_customer_sk,\n sr_store_sk)\nSELECT c_customer_id\nFROM customer_total_return ctr1,\n store,\n customer\nWHERE ctr1.ctr_total_return >\n (SELECT avg(ctr_total_return)*1.2\n FROM customer_total_return ctr2\n WHERE ctr1.ctr_store_sk = ctr2.ctr_store_sk)\n AND s_store_sk = ctr1.ctr_store_sk\n AND s_state = 'TN'\n AND ctr1.ctr_customer_sk = c_customer_sk\nORDER BY c_customer_id\nLIMIT 100;\n\n"} |
| {"id": 1, "query": "WITH wscs AS\n (SELECT sold_date_sk,\n sales_price\n FROM\n (SELECT ws_sold_date_sk sold_date_sk,\n ws_ext_sales_price sales_price\n FROM web_sales\n UNION ALL SELECT cs_sold_date_sk sold_date_sk,\n cs_ext_sales_price sales_price\n FROM catalog_sales) sq1),\n wswscs AS\n (SELECT d_week_seq,\n sum(CASE\n WHEN (d_day_name='Sunday') THEN sales_price\n ELSE NULL\n END) sun_sales,\n sum(CASE\n WHEN (d_day_name='Monday') THEN sales_price\n ELSE NULL\n END) mon_sales,\n sum(CASE\n WHEN (d_day_name='Tuesday') THEN sales_price\n ELSE NULL\n END) tue_sales,\n sum(CASE\n WHEN (d_day_name='Wednesday') THEN sales_price\n ELSE NULL\n END) wed_sales,\n sum(CASE\n WHEN (d_day_name='Thursday') THEN sales_price\n ELSE NULL\n END) thu_sales,\n sum(CASE\n WHEN (d_day_name='Friday') THEN sales_price\n ELSE NULL\n END) fri_sales,\n sum(CASE\n WHEN (d_day_name='Saturday') THEN sales_price\n ELSE NULL\n END) sat_sales\n FROM wscs,\n date_dim\n WHERE d_date_sk = sold_date_sk\n GROUP BY d_week_seq)\nSELECT d_week_seq1,\n round(sun_sales1/sun_sales2, 2) r1,\n round(mon_sales1/mon_sales2, 2) r2,\n round(tue_sales1/tue_sales2, 2) r3,\n round(wed_sales1/wed_sales2, 2) r4,\n round(thu_sales1/thu_sales2, 2) r5,\n round(fri_sales1/fri_sales2, 2) r6,\n round(sat_sales1/sat_sales2, 2)\nFROM\n (SELECT wswscs.d_week_seq d_week_seq1,\n sun_sales sun_sales1,\n mon_sales mon_sales1,\n tue_sales tue_sales1,\n wed_sales wed_sales1,\n thu_sales thu_sales1,\n fri_sales fri_sales1,\n sat_sales sat_sales1\n FROM wswscs,\n date_dim\n WHERE date_dim.d_week_seq = wswscs.d_week_seq\n AND d_year = 2001) y,\n (SELECT wswscs.d_week_seq d_week_seq2,\n sun_sales sun_sales2,\n mon_sales mon_sales2,\n tue_sales tue_sales2,\n wed_sales wed_sales2,\n thu_sales thu_sales2,\n fri_sales fri_sales2,\n sat_sales sat_sales2\n FROM wswscs,\n date_dim\n WHERE date_dim.d_week_seq = wswscs.d_week_seq\n AND d_year = 2001+1) z\nWHERE d_week_seq1 = d_week_seq2-53\nORDER BY d_week_seq1 NULLS FIRST;\n"} |
| {"id": 2, "query": "SELECT dt.d_year,\n item.i_brand_id brand_id,\n item.i_brand brand,\n sum(ss_ext_sales_price) sum_agg\nFROM date_dim dt,\n store_sales,\n item\nWHERE dt.d_date_sk = store_sales.ss_sold_date_sk\n AND store_sales.ss_item_sk = item.i_item_sk\n AND item.i_manufact_id = 128\n AND dt.d_moy=11\nGROUP BY dt.d_year,\n item.i_brand,\n item.i_brand_id\nORDER BY dt.d_year,\n sum_agg DESC,\n brand_id\nLIMIT 100;\n\n"} |
| {"id": 3, "query": "WITH year_total AS\n (SELECT c_customer_id customer_id,\n c_first_name customer_first_name,\n c_last_name customer_last_name,\n c_preferred_cust_flag customer_preferred_cust_flag,\n c_birth_country customer_birth_country,\n c_login customer_login,\n c_email_address customer_email_address,\n d_year dyear,\n sum(((ss_ext_list_price-ss_ext_wholesale_cost-ss_ext_discount_amt)+ss_ext_sales_price)/2) year_total,\n 's' sale_type\n FROM customer,\n store_sales,\n date_dim\n WHERE c_customer_sk = ss_customer_sk\n AND ss_sold_date_sk = d_date_sk\n GROUP BY c_customer_id,\n c_first_name,\n c_last_name,\n c_preferred_cust_flag,\n c_birth_country,\n c_login,\n c_email_address,\n d_year\n UNION ALL SELECT c_customer_id customer_id,\n c_first_name customer_first_name,\n c_last_name customer_last_name,\n c_preferred_cust_flag customer_preferred_cust_flag,\n c_birth_country customer_birth_country,\n c_login customer_login,\n c_email_address customer_email_address,\n d_year dyear,\n sum((((cs_ext_list_price-cs_ext_wholesale_cost-cs_ext_discount_amt)+cs_ext_sales_price)/2)) year_total,\n 'c' sale_type\n FROM customer,\n catalog_sales,\n date_dim\n WHERE c_customer_sk = cs_bill_customer_sk\n AND cs_sold_date_sk = d_date_sk\n GROUP BY c_customer_id,\n c_first_name,\n c_last_name,\n c_preferred_cust_flag,\n c_birth_country,\n c_login,\n c_email_address,\n d_year\n UNION ALL SELECT c_customer_id customer_id,\n c_first_name customer_first_name,\n c_last_name customer_last_name,\n c_preferred_cust_flag customer_preferred_cust_flag,\n c_birth_country customer_birth_country,\n c_login customer_login,\n c_email_address customer_email_address,\n d_year dyear,\n sum((((ws_ext_list_price-ws_ext_wholesale_cost-ws_ext_discount_amt)+ws_ext_sales_price)/2)) year_total,\n 'w' sale_type\n FROM customer,\n web_sales,\n date_dim\n WHERE c_customer_sk = ws_bill_customer_sk\n AND ws_sold_date_sk = d_date_sk\n GROUP BY c_customer_id,\n c_first_name,\n c_last_name,\n c_preferred_cust_flag,\n c_birth_country,\n c_login,\n c_email_address,\n d_year)\nSELECT t_s_secyear.customer_id,\n t_s_secyear.customer_first_name,\n t_s_secyear.customer_last_name,\n t_s_secyear.customer_preferred_cust_flag\nFROM year_total t_s_firstyear,\n year_total t_s_secyear,\n year_total t_c_firstyear,\n year_total t_c_secyear,\n year_total t_w_firstyear,\n year_total t_w_secyear\nWHERE t_s_secyear.customer_id = t_s_firstyear.customer_id\n AND t_s_firstyear.customer_id = t_c_secyear.customer_id\n AND t_s_firstyear.customer_id = t_c_firstyear.customer_id\n AND t_s_firstyear.customer_id = t_w_firstyear.customer_id\n AND t_s_firstyear.customer_id = t_w_secyear.customer_id\n AND t_s_firstyear.sale_type = 's'\n AND t_c_firstyear.sale_type = 'c'\n AND t_w_firstyear.sale_type = 'w'\n AND t_s_secyear.sale_type = 's'\n AND t_c_secyear.sale_type = 'c'\n AND t_w_secyear.sale_type = 'w'\n AND t_s_firstyear.dyear = 2001\n AND t_s_secyear.dyear = 2001+1\n AND t_c_firstyear.dyear = 2001\n AND t_c_secyear.dyear = 2001+1\n AND t_w_firstyear.dyear = 2001\n AND t_w_secyear.dyear = 2001+1\n AND t_s_firstyear.year_total > 0\n AND t_c_firstyear.year_total > 0\n AND t_w_firstyear.year_total > 0\n AND CASE\n WHEN t_c_firstyear.year_total > 0 THEN t_c_secyear.year_total / t_c_firstyear.year_total\n ELSE NULL\n END > CASE\n WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total\n ELSE NULL\n END\n AND CASE\n WHEN t_c_firstyear.year_total > 0 THEN t_c_secyear.year_total / t_c_firstyear.year_total\n ELSE NULL\n END > CASE\n WHEN t_w_firstyear.year_total > 0 THEN t_w_secyear.year_total / t_w_firstyear.year_total\n ELSE NULL\n END\nORDER BY t_s_secyear.customer_id NULLS FIRST,\n t_s_secyear.customer_first_name NULLS FIRST,\n t_s_secyear.customer_last_name NULLS FIRST,\n t_s_secyear.customer_preferred_cust_flag NULLS FIRST\nLIMIT 100;\n\n"} |
| {"id": 4, "query": "WITH ssr AS\n (SELECT s_store_id,\n sum(sales_price) AS sales,\n sum(profit) AS profit,\n sum(return_amt) AS returns_,\n sum(net_loss) AS profit_loss\n FROM\n (SELECT ss_store_sk AS store_sk,\n ss_sold_date_sk AS date_sk,\n ss_ext_sales_price AS sales_price,\n ss_net_profit AS profit,\n cast(0 AS decimal(7,2)) AS return_amt,\n cast(0 AS decimal(7,2)) AS net_loss\n FROM store_sales\n UNION ALL SELECT sr_store_sk AS store_sk,\n sr_returned_date_sk AS date_sk,\n cast(0 AS decimal(7,2)) AS sales_price,\n cast(0 AS decimal(7,2)) AS profit,\n sr_return_amt AS return_amt,\n sr_net_loss AS net_loss\n FROM store_returns ) salesreturns,\n date_dim,\n store\n WHERE date_sk = d_date_sk\n AND d_date BETWEEN cast('2000-08-23' AS date) AND cast('2000-09-06' AS date)\n AND store_sk = s_store_sk\n GROUP BY s_store_id) ,\n csr AS\n (SELECT cp_catalog_page_id,\n sum(sales_price) AS sales,\n sum(profit) AS profit,\n sum(return_amt) AS returns_,\n sum(net_loss) AS profit_loss\n FROM\n (SELECT cs_catalog_page_sk AS page_sk,\n cs_sold_date_sk AS date_sk,\n cs_ext_sales_price AS sales_price,\n cs_net_profit AS profit,\n cast(0 AS decimal(7,2)) AS return_amt,\n cast(0 AS decimal(7,2)) AS net_loss\n FROM catalog_sales\n UNION ALL SELECT cr_catalog_page_sk AS page_sk,\n cr_returned_date_sk AS date_sk,\n cast(0 AS decimal(7,2)) AS sales_price,\n cast(0 AS decimal(7,2)) AS profit,\n cr_return_amount AS return_amt,\n cr_net_loss AS net_loss\n FROM catalog_returns ) salesreturns,\n date_dim,\n catalog_page\n WHERE date_sk = d_date_sk\n AND d_date BETWEEN cast('2000-08-23' AS date) AND cast('2000-09-06' AS date)\n AND page_sk = cp_catalog_page_sk\n GROUP BY cp_catalog_page_id) ,\n wsr AS\n (SELECT web_site_id,\n sum(sales_price) AS sales,\n sum(profit) AS profit,\n sum(return_amt) AS returns_,\n sum(net_loss) AS profit_loss\n FROM\n (SELECT ws_web_site_sk AS wsr_web_site_sk,\n ws_sold_date_sk AS date_sk,\n ws_ext_sales_price AS sales_price,\n ws_net_profit AS profit,\n cast(0 AS decimal(7,2)) AS return_amt,\n cast(0 AS decimal(7,2)) AS net_loss\n FROM web_sales\n UNION ALL SELECT ws_web_site_sk AS wsr_web_site_sk,\n wr_returned_date_sk AS date_sk,\n cast(0 AS decimal(7,2)) AS sales_price,\n cast(0 AS decimal(7,2)) AS profit,\n wr_return_amt AS return_amt,\n wr_net_loss AS net_loss\n FROM web_returns\n LEFT OUTER JOIN web_sales ON (wr_item_sk = ws_item_sk\n AND wr_order_number = ws_order_number) ) salesreturns,\n date_dim,\n web_site\n WHERE date_sk = d_date_sk\n AND d_date BETWEEN cast('2000-08-23' AS date) AND cast('2000-09-06' AS date)\n AND wsr_web_site_sk = web_site_sk\n GROUP BY web_site_id)\nSELECT channel ,\n id ,\n sum(sales) AS sales ,\n sum(returns_) AS returns_ ,\n sum(profit) AS profit\nFROM\n (SELECT 'store channel' AS channel ,\n concat('store', s_store_id) AS id ,\n sales ,\n returns_ ,\n (profit - profit_loss) AS profit\n FROM ssr\n UNION ALL SELECT 'catalog channel' AS channel ,\n concat('catalog_page', cp_catalog_page_id) AS id ,\n sales ,\n returns_ ,\n (profit - profit_loss) AS profit\n FROM csr\n UNION ALL SELECT 'web channel' AS channel ,\n concat('web_site', web_site_id) AS id ,\n sales ,\n returns_ ,\n (profit - profit_loss) AS profit\n FROM wsr ) x\nGROUP BY ROLLUP (channel,\n id)\nORDER BY channel NULLS FIRST,\n id NULLS FIRST\nLIMIT 100;\n"} |
| {"id": 5, "query": "SELECT a.ca_state state,\n count(*) cnt\nFROM customer_address a ,\n customer c ,\n store_sales s ,\n date_dim d ,\n item i\nWHERE a.ca_address_sk = c.c_current_addr_sk\n AND c.c_customer_sk = s.ss_customer_sk\n AND s.ss_sold_date_sk = d.d_date_sk\n AND s.ss_item_sk = i.i_item_sk\n AND d.d_month_seq =\n (SELECT DISTINCT (d_month_seq)\n FROM date_dim\n WHERE d_year = 2001\n AND d_moy = 1 )\n AND i.i_current_price > 1.2 *\n (SELECT avg(j.i_current_price)\n FROM item j\n WHERE j.i_category = i.i_category)\nGROUP BY a.ca_state\nHAVING count(*) >= 10\nORDER BY cnt NULLS FIRST,\n a.ca_state NULLS FIRST\nLIMIT 100;\n\n"} |
| {"id": 6, "query": "SELECT i_item_id,\n avg(ss_quantity) agg1,\n avg(ss_list_price) agg2,\n avg(ss_coupon_amt) agg3,\n avg(ss_sales_price) agg4\nFROM store_sales,\n customer_demographics,\n date_dim,\n item,\n promotion\nWHERE ss_sold_date_sk = d_date_sk\n AND ss_item_sk = i_item_sk\n AND ss_cdemo_sk = cd_demo_sk\n AND ss_promo_sk = p_promo_sk\n AND cd_gender = 'M'\n AND cd_marital_status = 'S'\n AND cd_education_status = 'College'\n AND (p_channel_email = 'N'\n OR p_channel_event = 'N')\n AND d_year = 2000\nGROUP BY i_item_id\nORDER BY i_item_id\nLIMIT 100;\n\n"} |
| {"id": 7, "query": "SELECT s_store_name,\n sum(ss_net_profit)\nFROM store_sales,\n date_dim,\n store,\n (SELECT ca_zip\n FROM\n (SELECT SUBSTRING(ca_zip, 1, 5) ca_zip\n FROM customer_address\n WHERE SUBSTRING(ca_zip, 1, 5) IN ('24128',\n '76232',\n '65084',\n '87816',\n '83926',\n '77556',\n '20548',\n '26231',\n '43848',\n '15126',\n '91137',\n '61265',\n '98294',\n '25782',\n '17920',\n '18426',\n '98235',\n '40081',\n '84093',\n '28577',\n '55565',\n '17183',\n '54601',\n '67897',\n '22752',\n '86284',\n '18376',\n '38607',\n '45200',\n '21756',\n '29741',\n '96765',\n '23932',\n '89360',\n '29839',\n '25989',\n '28898',\n '91068',\n '72550',\n '10390',\n '18845',\n '47770',\n '82636',\n '41367',\n '76638',\n '86198',\n '81312',\n '37126',\n '39192',\n '88424',\n '72175',\n '81426',\n '53672',\n '10445',\n '42666',\n '66864',\n '66708',\n '41248',\n '48583',\n '82276',\n '18842',\n '78890',\n '49448',\n '14089',\n '38122',\n '34425',\n '79077',\n '19849',\n '43285',\n '39861',\n '66162',\n '77610',\n '13695',\n '99543',\n '83444',\n '83041',\n '12305',\n '57665',\n '68341',\n '25003',\n '57834',\n '62878',\n '49130',\n '81096',\n '18840',\n '27700',\n '23470',\n '50412',\n '21195',\n '16021',\n '76107',\n '71954',\n '68309',\n '18119',\n '98359',\n '64544',\n '10336',\n '86379',\n '27068',\n '39736',\n '98569',\n '28915',\n '24206',\n '56529',\n '57647',\n '54917',\n '42961',\n '91110',\n '63981',\n '14922',\n '36420',\n '23006',\n '67467',\n '32754',\n '30903',\n '20260',\n '31671',\n '51798',\n '72325',\n '85816',\n '68621',\n '13955',\n '36446',\n '41766',\n '68806',\n '16725',\n '15146',\n '22744',\n '35850',\n '88086',\n '51649',\n '18270',\n '52867',\n '39972',\n '96976',\n '63792',\n '11376',\n '94898',\n '13595',\n '10516',\n '90225',\n '58943',\n '39371',\n '94945',\n '28587',\n '96576',\n '57855',\n '28488',\n '26105',\n '83933',\n '25858',\n '34322',\n '44438',\n '73171',\n '30122',\n '34102',\n '22685',\n '71256',\n '78451',\n '54364',\n '13354',\n '45375',\n '40558',\n '56458',\n '28286',\n '45266',\n '47305',\n '69399',\n '83921',\n '26233',\n '11101',\n '15371',\n '69913',\n '35942',\n '15882',\n '25631',\n '24610',\n '44165',\n '99076',\n '33786',\n '70738',\n '26653',\n '14328',\n '72305',\n '62496',\n '22152',\n '10144',\n '64147',\n '48425',\n '14663',\n '21076',\n '18799',\n '30450',\n '63089',\n '81019',\n '68893',\n '24996',\n '51200',\n '51211',\n '45692',\n '92712',\n '70466',\n '79994',\n '22437',\n '25280',\n '38935',\n '71791',\n '73134',\n '56571',\n '14060',\n '19505',\n '72425',\n '56575',\n '74351',\n '68786',\n '51650',\n '20004',\n '18383',\n '76614',\n '11634',\n '18906',\n '15765',\n '41368',\n '73241',\n '76698',\n '78567',\n '97189',\n '28545',\n '76231',\n '75691',\n '22246',\n '51061',\n '90578',\n '56691',\n '68014',\n '51103',\n '94167',\n '57047',\n '14867',\n '73520',\n '15734',\n '63435',\n '25733',\n '35474',\n '24676',\n '94627',\n '53535',\n '17879',\n '15559',\n '53268',\n '59166',\n '11928',\n '59402',\n '33282',\n '45721',\n '43933',\n '68101',\n '33515',\n '36634',\n '71286',\n '19736',\n '58058',\n '55253',\n '67473',\n '41918',\n '19515',\n '36495',\n '19430',\n '22351',\n '77191',\n '91393',\n '49156',\n '50298',\n '87501',\n '18652',\n '53179',\n '18767',\n '63193',\n '23968',\n '65164',\n '68880',\n '21286',\n '72823',\n '58470',\n '67301',\n '13394',\n '31016',\n '70372',\n '67030',\n '40604',\n '24317',\n '45748',\n '39127',\n '26065',\n '77721',\n '31029',\n '31880',\n '60576',\n '24671',\n '45549',\n '13376',\n '50016',\n '33123',\n '19769',\n '22927',\n '97789',\n '46081',\n '72151',\n '15723',\n '46136',\n '51949',\n '68100',\n '96888',\n '64528',\n '14171',\n '79777',\n '28709',\n '11489',\n '25103',\n '32213',\n '78668',\n '22245',\n '15798',\n '27156',\n '37930',\n '62971',\n '21337',\n '51622',\n '67853',\n '10567',\n '38415',\n '15455',\n '58263',\n '42029',\n '60279',\n '37125',\n '56240',\n '88190',\n '50308',\n '26859',\n '64457',\n '89091',\n '82136',\n '62377',\n '36233',\n '63837',\n '58078',\n '17043',\n '30010',\n '60099',\n '28810',\n '98025',\n '29178',\n '87343',\n '73273',\n '30469',\n '64034',\n '39516',\n '86057',\n '21309',\n '90257',\n '67875',\n '40162',\n '11356',\n '73650',\n '61810',\n '72013',\n '30431',\n '22461',\n '19512',\n '13375',\n '55307',\n '30625',\n '83849',\n '68908',\n '26689',\n '96451',\n '38193',\n '46820',\n '88885',\n '84935',\n '69035',\n '83144',\n '47537',\n '56616',\n '94983',\n '48033',\n '69952',\n '25486',\n '61547',\n '27385',\n '61860',\n '58048',\n '56910',\n '16807',\n '17871',\n '35258',\n '31387',\n '35458',\n '35576') INTERSECT\n SELECT ca_zip\n FROM\n (SELECT SUBSTRING(ca_zip, 1, 5) ca_zip,\n count(*) cnt\n FROM customer_address,\n customer\n WHERE ca_address_sk = c_current_addr_sk\n AND c_preferred_cust_flag='Y'\n GROUP BY ca_zip\n HAVING count(*) > 10)A1)A2) V1\nWHERE ss_store_sk = s_store_sk\n AND ss_sold_date_sk = d_date_sk\n AND d_qoy = 2\n AND d_year = 1998\n AND (SUBSTRING(s_zip, 1, 2) = SUBSTRING(V1.ca_zip, 1, 2))\nGROUP BY s_store_name\nORDER BY s_store_name\nLIMIT 100;\n\n"} |
| {"id": 8, "query": "\nSELECT CASE\n WHEN\n (SELECT count(*)\n FROM store_sales\n WHERE ss_quantity BETWEEN 1 AND 20) > 74129 THEN\n (SELECT avg(ss_ext_discount_amt)\n FROM store_sales\n WHERE ss_quantity BETWEEN 1 AND 20)\n ELSE\n (SELECT avg(ss_net_paid)\n FROM store_sales\n WHERE ss_quantity BETWEEN 1 AND 20)\n END bucket1,\n CASE\n WHEN\n (SELECT count(*)\n FROM store_sales\n WHERE ss_quantity BETWEEN 21 AND 40) > 122840 THEN\n (SELECT avg(ss_ext_discount_amt)\n FROM store_sales\n WHERE ss_quantity BETWEEN 21 AND 40)\n ELSE\n (SELECT avg(ss_net_paid)\n FROM store_sales\n WHERE ss_quantity BETWEEN 21 AND 40)\n END bucket2,\n CASE\n WHEN\n (SELECT count(*)\n FROM store_sales\n WHERE ss_quantity BETWEEN 41 AND 60) > 56580 THEN\n (SELECT avg(ss_ext_discount_amt)\n FROM store_sales\n WHERE ss_quantity BETWEEN 41 AND 60)\n ELSE\n (SELECT avg(ss_net_paid)\n FROM store_sales\n WHERE ss_quantity BETWEEN 41 AND 60)\n END bucket3,\n CASE\n WHEN\n (SELECT count(*)\n FROM store_sales\n WHERE ss_quantity BETWEEN 61 AND 80) > 10097 THEN\n (SELECT avg(ss_ext_discount_amt)\n FROM store_sales\n WHERE ss_quantity BETWEEN 61 AND 80)\n ELSE\n (SELECT avg(ss_net_paid)\n FROM store_sales\n WHERE ss_quantity BETWEEN 61 AND 80)\n END bucket4,\n CASE\n WHEN\n (SELECT count(*)\n FROM store_sales\n WHERE ss_quantity BETWEEN 81 AND 100) > 165306 THEN\n (SELECT avg(ss_ext_discount_amt)\n FROM store_sales\n WHERE ss_quantity BETWEEN 81 AND 100)\n ELSE\n (SELECT avg(ss_net_paid)\n FROM store_sales\n WHERE ss_quantity BETWEEN 81 AND 100)\n END bucket5\nFROM reason\nWHERE r_reason_sk = 1 ;\n\n"} |
| {"id": 9, "query": "SELECT cd_gender,\n cd_marital_status,\n cd_education_status,\n count(*) cnt1,\n cd_purchase_estimate,\n count(*) cnt2,\n cd_credit_rating,\n count(*) cnt3,\n cd_dep_count,\n count(*) cnt4,\n cd_dep_employed_count,\n count(*) cnt5,\n cd_dep_college_count,\n count(*) cnt6\nFROM customer c,\n customer_address ca,\n customer_demographics\nWHERE c.c_current_addr_sk = ca.ca_address_sk\n AND ca_county IN ('Rush County',\n 'Toole County',\n 'Jefferson County',\n 'Dona Ana County',\n 'La Porte County')\n AND cd_demo_sk = c.c_current_cdemo_sk\n AND EXISTS\n (SELECT *\n FROM store_sales,\n date_dim\n WHERE c.c_customer_sk = ss_customer_sk\n AND ss_sold_date_sk = d_date_sk\n AND d_year = 2002\n AND d_moy BETWEEN 1 AND 1+3)\n AND (EXISTS\n (SELECT *\n FROM web_sales,\n date_dim\n WHERE c.c_customer_sk = ws_bill_customer_sk\n AND ws_sold_date_sk = d_date_sk\n AND d_year = 2002\n AND d_moy BETWEEN 1 AND 1+3)\n OR EXISTS\n (SELECT *\n FROM catalog_sales,\n date_dim\n WHERE c.c_customer_sk = cs_ship_customer_sk\n AND cs_sold_date_sk = d_date_sk\n AND d_year = 2002\n AND d_moy BETWEEN 1 AND 1+3))\nGROUP BY cd_gender,\n cd_marital_status,\n cd_education_status,\n cd_purchase_estimate,\n cd_credit_rating,\n cd_dep_count,\n cd_dep_employed_count,\n cd_dep_college_count\nORDER BY cd_gender,\n cd_marital_status,\n cd_education_status,\n cd_purchase_estimate,\n cd_credit_rating,\n cd_dep_count,\n cd_dep_employed_count,\n cd_dep_college_count\nLIMIT 100;\n\n"} |
| {"id": 10, "query": "WITH year_total AS\n (SELECT c_customer_id customer_id,\n c_first_name customer_first_name,\n c_last_name customer_last_name,\n c_preferred_cust_flag customer_preferred_cust_flag,\n c_birth_country customer_birth_country,\n c_login customer_login,\n c_email_address customer_email_address,\n d_year dyear,\n sum(ss_ext_list_price-ss_ext_discount_amt) year_total,\n 's' sale_type\n FROM customer,\n store_sales,\n date_dim\n WHERE c_customer_sk = ss_customer_sk\n AND ss_sold_date_sk = d_date_sk\n GROUP BY c_customer_id,\n c_first_name,\n c_last_name,\n c_preferred_cust_flag,\n c_birth_country,\n c_login,\n c_email_address,\n d_year\n UNION ALL SELECT c_customer_id customer_id,\n c_first_name customer_first_name,\n c_last_name customer_last_name,\n c_preferred_cust_flag customer_preferred_cust_flag,\n c_birth_country customer_birth_country,\n c_login customer_login,\n c_email_address customer_email_address,\n d_year dyear,\n sum(ws_ext_list_price-ws_ext_discount_amt) year_total,\n 'w' sale_type\n FROM customer,\n web_sales,\n date_dim\n WHERE c_customer_sk = ws_bill_customer_sk\n AND ws_sold_date_sk = d_date_sk\n GROUP BY c_customer_id,\n c_first_name,\n c_last_name,\n c_preferred_cust_flag,\n c_birth_country,\n c_login,\n c_email_address,\n d_year)\nSELECT t_s_secyear.customer_id,\n t_s_secyear.customer_first_name,\n t_s_secyear.customer_last_name,\n t_s_secyear.customer_preferred_cust_flag\nFROM year_total t_s_firstyear,\n year_total t_s_secyear,\n year_total t_w_firstyear,\n year_total t_w_secyear\nWHERE t_s_secyear.customer_id = t_s_firstyear.customer_id\n AND t_s_firstyear.customer_id = t_w_secyear.customer_id\n AND t_s_firstyear.customer_id = t_w_firstyear.customer_id\n AND t_s_firstyear.sale_type = 's'\n AND t_w_firstyear.sale_type = 'w'\n AND t_s_secyear.sale_type = 's'\n AND t_w_secyear.sale_type = 'w'\n AND t_s_firstyear.dyear = 2001\n AND t_s_secyear.dyear = 2001+1\n AND t_w_firstyear.dyear = 2001\n AND t_w_secyear.dyear = 2001+1\n AND t_s_firstyear.year_total > 0\n AND t_w_firstyear.year_total > 0\n AND CASE\n WHEN t_w_firstyear.year_total > 0 THEN (t_w_secyear.year_total*1.0000) / t_w_firstyear.year_total\n ELSE 0.0\n END > CASE\n WHEN t_s_firstyear.year_total > 0 THEN (t_s_secyear.year_total*1.0000) / t_s_firstyear.year_total\n ELSE 0.0\n END\nORDER BY t_s_secyear.customer_id NULLS FIRST,\n t_s_secyear.customer_first_name NULLS FIRST,\n t_s_secyear.customer_last_name NULLS FIRST,\n t_s_secyear.customer_preferred_cust_flag NULLS FIRST\nLIMIT 100;\n\n"} |
| {"id": 11, "query": "SELECT i_item_id,\n i_item_desc,\n i_category,\n i_class,\n i_current_price,\n sum(ws_ext_sales_price) AS itemrevenue,\n sum(ws_ext_sales_price)*100.0000/sum(sum(ws_ext_sales_price)) OVER (PARTITION BY i_class) AS revenueratio\nFROM web_sales,\n item,\n date_dim\nWHERE ws_item_sk = i_item_sk\n AND i_category IN ('Sports',\n 'Books',\n 'Home')\n AND ws_sold_date_sk = d_date_sk\n AND d_date BETWEEN cast('1999-02-22' AS date) AND cast('1999-03-24' AS date)\nGROUP BY i_item_id,\n i_item_desc,\n i_category,\n i_class,\n i_current_price\nORDER BY i_category,\n i_class,\n i_item_id,\n i_item_desc,\n revenueratio\nLIMIT 100;\n\n"} |
| {"id": 12, "query": "\nSELECT avg(ss_quantity) avg1,\n avg(ss_ext_sales_price) avg2,\n avg(ss_ext_wholesale_cost) avg3,\n sum(ss_ext_wholesale_cost)\nFROM store_sales ,\n store ,\n customer_demographics ,\n household_demographics ,\n customer_address ,\n date_dim\nWHERE s_store_sk = ss_store_sk\n AND ss_sold_date_sk = d_date_sk\n AND d_year = 2001 and((ss_hdemo_sk=hd_demo_sk\n AND cd_demo_sk = ss_cdemo_sk\n AND cd_marital_status = 'M'\n AND cd_education_status = 'Advanced Degree'\n AND ss_sales_price BETWEEN 100.00 AND 150.00\n AND hd_dep_count = 3)\n OR (ss_hdemo_sk=hd_demo_sk\n AND cd_demo_sk = ss_cdemo_sk\n AND cd_marital_status = 'S'\n AND cd_education_status = 'College'\n AND ss_sales_price BETWEEN 50.00 AND 100.00\n AND hd_dep_count = 1 )\n OR (ss_hdemo_sk=hd_demo_sk\n AND cd_demo_sk = ss_cdemo_sk\n AND cd_marital_status = 'W'\n AND cd_education_status = '2 yr Degree'\n AND ss_sales_price BETWEEN 150.00 AND 200.00\n AND hd_dep_count = 1)) and((ss_addr_sk = ca_address_sk\n AND ca_country = 'United States'\n AND ca_state IN ('TX', 'OH', 'TX')\n AND ss_net_profit BETWEEN 100 AND 200)\n OR (ss_addr_sk = ca_address_sk\n AND ca_country = 'United States'\n AND ca_state IN ('OR', 'NM', 'KY')\n AND ss_net_profit BETWEEN 150 AND 300)\n OR (ss_addr_sk = ca_address_sk\n AND ca_country = 'United States'\n AND ca_state IN ('VA', 'TX', 'MS')\n AND ss_net_profit BETWEEN 50 AND 250)) ;\n\n"} |
| {"id": 13, "query": "WITH cross_items AS\n (SELECT i_item_sk ss_item_sk\n FROM item,\n (SELECT iss.i_brand_id brand_id,\n iss.i_class_id class_id,\n iss.i_category_id category_id\n FROM store_sales,\n item iss,\n date_dim d1\n WHERE ss_item_sk = iss.i_item_sk\n AND ss_sold_date_sk = d1.d_date_sk\n AND d1.d_year BETWEEN 1999 AND 1999 + 2 INTERSECT\n SELECT ics.i_brand_id,\n ics.i_class_id,\n ics.i_category_id\n FROM catalog_sales,\n item ics,\n date_dim d2 WHERE cs_item_sk = ics.i_item_sk\n AND cs_sold_date_sk = d2.d_date_sk\n AND d2.d_year BETWEEN 1999 AND 1999 + 2 INTERSECT\n SELECT iws.i_brand_id,\n iws.i_class_id,\n iws.i_category_id\n FROM web_sales,\n item iws,\n date_dim d3 WHERE ws_item_sk = iws.i_item_sk\n AND ws_sold_date_sk = d3.d_date_sk\n AND d3.d_year BETWEEN 1999 AND 1999 + 2) sq1\n WHERE i_brand_id = brand_id\n AND i_class_id = class_id\n AND i_category_id = category_id ),\n avg_sales AS\n (SELECT avg(quantity*list_price) average_sales\n FROM\n (SELECT ss_quantity quantity,\n ss_list_price list_price\n FROM store_sales,\n date_dim\n WHERE ss_sold_date_sk = d_date_sk\n AND d_year BETWEEN 1999 AND 1999 + 2\n UNION ALL SELECT cs_quantity quantity,\n cs_list_price list_price\n FROM catalog_sales,\n date_dim\n WHERE cs_sold_date_sk = d_date_sk\n AND d_year BETWEEN 1999 AND 1999 + 2\n UNION ALL SELECT ws_quantity quantity,\n ws_list_price list_price\n FROM web_sales,\n date_dim\n WHERE ws_sold_date_sk = d_date_sk\n AND d_year BETWEEN 1999 AND 1999 + 2) sq2)\nSELECT channel,\n i_brand_id,\n i_class_id,\n i_category_id,\n sum(sales) AS sum_sales,\n sum(number_sales) AS sum_number_sales\nFROM\n (SELECT 'store' channel,\n i_brand_id,\n i_class_id,\n i_category_id,\n sum(ss_quantity*ss_list_price) sales,\n count(*) number_sales\n FROM store_sales,\n item,\n date_dim\n WHERE ss_item_sk IN\n (SELECT ss_item_sk\n FROM cross_items)\n AND ss_item_sk = i_item_sk\n AND ss_sold_date_sk = d_date_sk\n AND d_year = 1999+2\n AND d_moy = 11\n GROUP BY i_brand_id,\n i_class_id,\n i_category_id\n HAVING sum(ss_quantity*ss_list_price) >\n (SELECT average_sales\n FROM avg_sales)\n UNION ALL SELECT 'catalog' channel,\n i_brand_id,\n i_class_id,\n i_category_id,\n sum(cs_quantity*cs_list_price) sales,\n count(*) number_sales\n FROM catalog_sales,\n item,\n date_dim\n WHERE cs_item_sk IN\n (SELECT ss_item_sk\n FROM cross_items)\n AND cs_item_sk = i_item_sk\n AND cs_sold_date_sk = d_date_sk\n AND d_year = 1999+2\n AND d_moy = 11\n GROUP BY i_brand_id,\n i_class_id,\n i_category_id\n HAVING sum(cs_quantity*cs_list_price) >\n (SELECT average_sales\n FROM avg_sales)\n UNION ALL SELECT 'web' channel,\n i_brand_id,\n i_class_id,\n i_category_id,\n sum(ws_quantity*ws_list_price) sales,\n count(*) number_sales\n FROM web_sales,\n item,\n date_dim\n WHERE ws_item_sk IN\n (SELECT ss_item_sk\n FROM cross_items)\n AND ws_item_sk = i_item_sk\n AND ws_sold_date_sk = d_date_sk\n AND d_year = 1999+2\n AND d_moy = 11\n GROUP BY i_brand_id,\n i_class_id,\n i_category_id\n HAVING sum(ws_quantity*ws_list_price) >\n (SELECT average_sales\n FROM avg_sales)) y\nGROUP BY ROLLUP (channel,\n i_brand_id,\n i_class_id,\n i_category_id)\nORDER BY channel NULLS FIRST,\n i_brand_id NULLS FIRST,\n i_class_id NULLS FIRST,\n i_category_id NULLS FIRST\nLIMIT 100;\n"} |
| {"id": 14, "query": "SELECT ca_zip,\n sum(cs_sales_price)\nFROM catalog_sales,\n customer,\n customer_address,\n date_dim\nWHERE cs_bill_customer_sk = c_customer_sk\n AND c_current_addr_sk = ca_address_sk\n AND (SUBSTRING(ca_zip, 1, 5) IN ('85669',\n '86197',\n '88274',\n '83405',\n '86475',\n '85392',\n '85460',\n '80348',\n '81792')\n OR ca_state IN ('CA',\n 'WA',\n 'GA')\n OR cs_sales_price > 500)\n AND cs_sold_date_sk = d_date_sk\n AND d_qoy = 2\n AND d_year = 2001\nGROUP BY ca_zip\nORDER BY ca_zip NULLS FIRST\nLIMIT 100;\n\n"} |
| {"id": 15, "query": "SELECT count(DISTINCT cs_order_number) AS \"order count\",\n sum(cs_ext_ship_cost) AS \"total shipping cost\",\n sum(cs_net_profit) AS \"total net profit\"\nFROM catalog_sales cs1,\n date_dim,\n customer_address,\n call_center\nWHERE d_date BETWEEN '2002-02-01' AND cast('2002-04-02' AS date)\n AND cs1.cs_ship_date_sk = d_date_sk\n AND cs1.cs_ship_addr_sk = ca_address_sk\n AND ca_state = 'GA'\n AND cs1.cs_call_center_sk = cc_call_center_sk\n AND cc_county = 'Williamson County'\n AND EXISTS\n (SELECT *\n FROM catalog_sales cs2\n WHERE cs1.cs_order_number = cs2.cs_order_number\n AND cs1.cs_warehouse_sk <> cs2.cs_warehouse_sk)\n AND NOT EXISTS\n (SELECT *\n FROM catalog_returns cr1\n WHERE cs1.cs_order_number = cr1.cr_order_number)\nORDER BY count(DISTINCT cs_order_number)\nLIMIT 100;\n\n"} |
| {"id": 16, "query": "SELECT i_item_id,\n i_item_desc,\n s_state,\n count(ss_quantity) AS store_sales_quantitycount,\n avg(ss_quantity) AS store_sales_quantityave,\n stddev_samp(ss_quantity) AS store_sales_quantitystdev,\n stddev_samp(ss_quantity)/avg(ss_quantity) AS store_sales_quantitycov,\n count(sr_return_quantity) AS store_returns_quantitycount,\n avg(sr_return_quantity) AS store_returns_quantityave,\n stddev_samp(sr_return_quantity) AS store_returns_quantitystdev,\n stddev_samp(sr_return_quantity)/avg(sr_return_quantity) AS store_returns_quantitycov,\n count(cs_quantity) AS catalog_sales_quantitycount,\n avg(cs_quantity) AS catalog_sales_quantityave,\n stddev_samp(cs_quantity) AS catalog_sales_quantitystdev,\n stddev_samp(cs_quantity)/avg(cs_quantity) AS catalog_sales_quantitycov\nFROM store_sales,\n store_returns,\n catalog_sales,\n date_dim d1,\n date_dim d2,\n date_dim d3,\n store,\n item\nWHERE d1.d_quarter_name = '2001Q1'\n AND d1.d_date_sk = ss_sold_date_sk\n AND i_item_sk = ss_item_sk\n AND s_store_sk = ss_store_sk\n AND ss_customer_sk = sr_customer_sk\n AND ss_item_sk = sr_item_sk\n AND ss_ticket_number = sr_ticket_number\n AND sr_returned_date_sk = d2.d_date_sk\n AND d2.d_quarter_name IN ('2001Q1',\n '2001Q2',\n '2001Q3')\n AND sr_customer_sk = cs_bill_customer_sk\n AND sr_item_sk = cs_item_sk\n AND cs_sold_date_sk = d3.d_date_sk\n AND d3.d_quarter_name IN ('2001Q1',\n '2001Q2',\n '2001Q3')\nGROUP BY i_item_id,\n i_item_desc,\n s_state\nORDER BY i_item_id NULLS FIRST,\n i_item_desc NULLS FIRST,\n s_state NULLS FIRST\nLIMIT 100;\n\n"} |
| {"id": 17, "query": "SELECT i_item_id,\n ca_country,\n ca_state,\n ca_county,\n avg(cast(cs_quantity AS decimal(12, 2))) agg1,\n avg(cast(cs_list_price AS decimal(12, 2))) agg2,\n avg(cast(cs_coupon_amt AS decimal(12, 2))) agg3,\n avg(cast(cs_sales_price AS decimal(12, 2))) agg4,\n avg(cast(cs_net_profit AS decimal(12, 2))) agg5,\n avg(cast(c_birth_year AS decimal(12, 2))) agg6,\n avg(cast(cd1.cd_dep_count AS decimal(12, 2))) agg7\nFROM catalog_sales,\n customer_demographics cd1,\n customer_demographics cd2,\n customer,\n customer_address,\n date_dim,\n item\nWHERE cs_sold_date_sk = d_date_sk\n AND cs_item_sk = i_item_sk\n AND cs_bill_cdemo_sk = cd1.cd_demo_sk\n AND cs_bill_customer_sk = c_customer_sk\n AND cd1.cd_gender = 'F'\n AND cd1.cd_education_status = 'Unknown'\n AND c_current_cdemo_sk = cd2.cd_demo_sk\n AND c_current_addr_sk = ca_address_sk\n AND c_birth_month IN (1,\n 6,\n 8,\n 9,\n 12,\n 2)\n AND d_year = 1998\n AND ca_state IN ('MS',\n 'IN',\n 'ND',\n 'OK',\n 'NM',\n 'VA',\n 'MS')\nGROUP BY ROLLUP (i_item_id,\n ca_country,\n ca_state,\n ca_county)\nORDER BY ca_country NULLS FIRST,\n ca_state NULLS FIRST,\n ca_county NULLS FIRST,\n i_item_id NULLS FIRST\nLIMIT 100;\n"} |
| {"id": 18, "query": "SELECT i_brand_id brand_id,\n i_brand brand,\n i_manufact_id,\n i_manufact,\n sum(ss_ext_sales_price) ext_price\nFROM date_dim,\n store_sales,\n item,\n customer,\n customer_address,\n store\nWHERE d_date_sk = ss_sold_date_sk\n AND ss_item_sk = i_item_sk\n AND i_manager_id=8\n AND d_moy=11\n AND d_year=1998\n AND ss_customer_sk = c_customer_sk\n AND c_current_addr_sk = ca_address_sk\n AND SUBSTRING(ca_zip, 1, 5) <> SUBSTRING(s_zip, 1, 5)\n AND ss_store_sk = s_store_sk\nGROUP BY i_brand,\n i_brand_id,\n i_manufact_id,\n i_manufact\nORDER BY ext_price DESC,\n i_brand,\n i_brand_id,\n i_manufact_id,\n i_manufact\nLIMIT 100 ;\n\n"} |
| {"id": 19, "query": "\nSELECT i_item_id ,\n i_item_desc,\n i_category,\n i_class,\n i_current_price ,\n sum(cs_ext_sales_price) AS itemrevenue,\n sum(cs_ext_sales_price)*100.0000/sum(sum(cs_ext_sales_price)) OVER (PARTITION BY i_class) AS revenueratio\nFROM catalog_sales ,\n item,\n date_dim\nWHERE cs_item_sk = i_item_sk\n AND i_category IN ('Sports',\n 'Books',\n 'Home')\n AND cs_sold_date_sk = d_date_sk\n AND d_date BETWEEN cast('1999-02-22' AS date) AND cast('1999-03-24' AS date)\nGROUP BY i_item_id ,\n i_item_desc,\n i_category ,\n i_class ,\n i_current_price\nORDER BY i_category NULLS FIRST,\n i_class NULLS FIRST,\n i_item_id NULLS FIRST,\n i_item_desc NULLS FIRST,\n revenueratio NULLS FIRST\nLIMIT 100;\n\n"} |
| {"id": 20, "query": "SELECT *\nFROM\n (SELECT w_warehouse_name,\n i_item_id,\n sum(CASE\n WHEN (cast(d_date AS date) < CAST ('2000-03-11' AS date)) THEN inv_quantity_on_hand\n ELSE 0\n END) AS inv_before,\n sum(CASE\n WHEN (cast(d_date AS date) >= CAST ('2000-03-11' AS date)) THEN inv_quantity_on_hand\n ELSE 0\n END) AS inv_after\n FROM inventory,\n warehouse,\n item,\n date_dim\n WHERE i_current_price BETWEEN 0.99 AND 1.49\n AND i_item_sk = inv_item_sk\n AND inv_warehouse_sk = w_warehouse_sk\n AND inv_date_sk = d_date_sk\n AND d_date BETWEEN CAST ('2000-02-10' AS date) AND CAST ('2000-04-10' AS date)\n GROUP BY w_warehouse_name,\n i_item_id) x\nWHERE (CASE\n WHEN inv_before > 0 THEN (inv_after*1.000) / inv_before\n ELSE NULL\n END) BETWEEN 2.000/3.000 AND 3.000/2.000\nORDER BY w_warehouse_name NULLS FIRST,\n i_item_id NULLS FIRST\nLIMIT 100;\n\n"} |
| {"id": 21, "query": "SELECT i_product_name ,\n i_brand ,\n i_class ,\n i_category ,\n avg(inv_quantity_on_hand) qoh\nFROM inventory ,\n date_dim ,\n item\nWHERE inv_date_sk=d_date_sk\n AND inv_item_sk=i_item_sk\n AND d_month_seq BETWEEN 1200 AND 1200 + 11\nGROUP BY rollup(i_product_name ,i_brand ,i_class ,i_category)\nORDER BY qoh NULLS FIRST,\n i_product_name NULLS FIRST,\n i_brand NULLS FIRST,\n i_class NULLS FIRST,\n i_category NULLS FIRST\nLIMIT 100;\n"} |
| {"id": 22, "query": "WITH frequent_ss_items AS\n (SELECT itemdesc,\n i_item_sk item_sk,\n d_date solddate,\n count(*) cnt\n FROM store_sales,\n date_dim,\n (SELECT SUBSTRING(i_item_desc, 1, 30) itemdesc,\n *\n FROM item) sq1\n WHERE ss_sold_date_sk = d_date_sk\n AND ss_item_sk = i_item_sk\n AND d_year IN (2000,\n 2000+1,\n 2000+2,\n 2000+3)\n GROUP BY itemdesc,\n i_item_sk,\n d_date\n HAVING count(*) >4),\n max_store_sales AS\n (SELECT max(csales) tpcds_cmax\n FROM\n (SELECT c_customer_sk,\n sum(ss_quantity*ss_sales_price) csales\n FROM store_sales,\n customer,\n date_dim\n WHERE ss_customer_sk = c_customer_sk\n AND ss_sold_date_sk = d_date_sk\n AND d_year IN (2000,\n 2000+1,\n 2000+2,\n 2000+3)\n GROUP BY c_customer_sk) sq2),\n best_ss_customer AS\n (SELECT c_customer_sk,\n sum(ss_quantity*ss_sales_price) ssales\n FROM store_sales,\n customer,\n max_store_sales\n WHERE ss_customer_sk = c_customer_sk\n GROUP BY c_customer_sk\n HAVING sum(ss_quantity*ss_sales_price) > (50/100.0) * max(tpcds_cmax))\nSELECT c_last_name,\n c_first_name,\n sales\nFROM\n (SELECT c_last_name,\n c_first_name,\n sum(cs_quantity*cs_list_price) sales\n FROM catalog_sales,\n customer,\n date_dim,\n frequent_ss_items,\n best_ss_customer\n WHERE d_year = 2000\n AND d_moy = 2\n AND cs_sold_date_sk = d_date_sk\n AND cs_item_sk = item_sk\n AND cs_bill_customer_sk = best_ss_customer.c_customer_sk\n AND cs_bill_customer_sk = customer.c_customer_sk\n GROUP BY c_last_name,\n c_first_name\n UNION ALL SELECT c_last_name,\n c_first_name,\n sum(ws_quantity*ws_list_price) sales\n FROM web_sales,\n customer,\n date_dim,\n frequent_ss_items,\n best_ss_customer\n WHERE d_year = 2000\n AND d_moy = 2\n AND ws_sold_date_sk = d_date_sk\n AND ws_item_sk = item_sk\n AND ws_bill_customer_sk = best_ss_customer.c_customer_sk\n AND ws_bill_customer_sk = customer.c_customer_sk\n GROUP BY c_last_name,\n c_first_name) sq3\nORDER BY c_last_name NULLS FIRST,\n c_first_name NULLS FIRST,\n sales NULLS FIRST\nLIMIT 100;\n"} |
| {"id": 23, "query": "WITH ssales AS\n (SELECT c_last_name,\n c_first_name,\n s_store_name,\n ca_state,\n s_state,\n i_color,\n i_current_price,\n i_manager_id,\n i_units,\n i_size,\n sum(ss_net_paid) netpaid\n FROM store_sales,\n store_returns,\n store,\n item,\n customer,\n customer_address\n WHERE ss_ticket_number = sr_ticket_number\n AND ss_item_sk = sr_item_sk\n AND ss_customer_sk = c_customer_sk\n AND ss_item_sk = i_item_sk\n AND ss_store_sk = s_store_sk\n AND c_current_addr_sk = ca_address_sk\n AND c_birth_country <> upper(ca_country)\n AND s_zip = ca_zip\n AND s_market_id=8\n GROUP BY c_last_name,\n c_first_name,\n s_store_name,\n ca_state,\n s_state,\n i_color,\n i_current_price,\n i_manager_id,\n i_units,\n i_size)\nSELECT c_last_name,\n c_first_name,\n s_store_name,\n sum(netpaid) paid\nFROM ssales\nWHERE i_color = 'peach'\nGROUP BY c_last_name,\n c_first_name,\n s_store_name\nHAVING sum(netpaid) >\n (SELECT 0.05*avg(netpaid)\n FROM ssales)\nORDER BY c_last_name,\n c_first_name,\n s_store_name ;\n"} |
| {"id": 24, "query": "\nSELECT i_item_id ,\n i_item_desc ,\n s_store_id ,\n s_store_name ,\n sum(ss_net_profit) AS store_sales_profit ,\n sum(sr_net_loss) AS store_returns_loss ,\n sum(cs_net_profit) AS catalog_sales_profit\nFROM store_sales ,\n store_returns ,\n catalog_sales ,\n date_dim d1 ,\n date_dim d2 ,\n date_dim d3 ,\n store ,\n item\nWHERE d1.d_moy = 4\n AND d1.d_year = 2001\n AND d1.d_date_sk = ss_sold_date_sk\n AND i_item_sk = ss_item_sk\n AND s_store_sk = ss_store_sk\n AND ss_customer_sk = sr_customer_sk\n AND ss_item_sk = sr_item_sk\n AND ss_ticket_number = sr_ticket_number\n AND sr_returned_date_sk = d2.d_date_sk\n AND d2.d_moy BETWEEN 4 AND 10\n AND d2.d_year = 2001\n AND sr_customer_sk = cs_bill_customer_sk\n AND sr_item_sk = cs_item_sk\n AND cs_sold_date_sk = d3.d_date_sk\n AND d3.d_moy BETWEEN 4 AND 10\n AND d3.d_year = 2001\nGROUP BY i_item_id ,\n i_item_desc ,\n s_store_id ,\n s_store_name\nORDER BY i_item_id ,\n i_item_desc ,\n s_store_id ,\n s_store_name\nLIMIT 100;\n\n"} |
| {"id": 25, "query": "SELECT i_item_id,\n avg(cs_quantity) agg1,\n avg(cs_list_price) agg2,\n avg(cs_coupon_amt) agg3,\n avg(cs_sales_price) agg4\nFROM catalog_sales,\n customer_demographics,\n date_dim,\n item,\n promotion\nWHERE cs_sold_date_sk = d_date_sk\n AND cs_item_sk = i_item_sk\n AND cs_bill_cdemo_sk = cd_demo_sk\n AND cs_promo_sk = p_promo_sk\n AND cd_gender = 'M'\n AND cd_marital_status = 'S'\n AND cd_education_status = 'College'\n AND (p_channel_email = 'N'\n OR p_channel_event = 'N')\n AND d_year = 2000\nGROUP BY i_item_id\nORDER BY i_item_id\nLIMIT 100;\n\n"} |
| {"id": 26, "query": "WITH results AS\n (SELECT i_item_id,\n s_state,\n 0 AS g_state,\n ss_quantity agg1,\n ss_list_price agg2,\n ss_coupon_amt agg3,\n ss_sales_price agg4\n FROM store_sales,\n customer_demographics,\n date_dim,\n store,\n item\n WHERE ss_sold_date_sk = d_date_sk\n AND ss_item_sk = i_item_sk\n AND ss_store_sk = s_store_sk\n AND ss_cdemo_sk = cd_demo_sk\n AND cd_gender = 'M'\n AND cd_marital_status = 'S'\n AND cd_education_status = 'College'\n AND d_year = 2002\n AND s_state = 'TN' )\nSELECT i_item_id,\n s_state,\n g_state,\n agg1,\n agg2,\n agg3,\n agg4\nFROM\n ( SELECT i_item_id,\n s_state,\n 0 AS g_state,\n avg(agg1) agg1,\n avg(agg2) agg2,\n avg(agg3) agg3,\n avg(agg4) agg4\n FROM results\n GROUP BY i_item_id ,\n s_state\n UNION ALL SELECT i_item_id,\n NULL AS s_state,\n 1 AS g_state,\n avg(agg1) agg1,\n avg(agg2) agg2,\n avg(agg3) agg3,\n avg(agg4) agg4\n FROM results\n GROUP BY i_item_id\n UNION ALL SELECT NULL AS i_item_id,\n NULL AS s_state,\n 1 AS g_state,\n avg(agg1) agg1,\n avg(agg2) agg2,\n avg(agg3) agg3,\n avg(agg4) agg4\n FROM results ) foo\nORDER BY i_item_id NULLS FIRST,\n s_state NULLS FIRST\nLIMIT 100;\n"} |
| {"id": 27, "query": "SELECT *\nFROM\n (SELECT avg(ss_list_price) B1_LP,\n count(ss_list_price) B1_CNT,\n count(DISTINCT ss_list_price) B1_CNTD\n FROM store_sales\n WHERE ss_quantity BETWEEN 0 AND 5\n AND (ss_list_price BETWEEN 8 AND 8+10\n OR ss_coupon_amt BETWEEN 459 AND 459+1000\n OR ss_wholesale_cost BETWEEN 57 AND 57+20)) B1,\n (SELECT avg(ss_list_price) B2_LP,\n count(ss_list_price) B2_CNT,\n count(DISTINCT ss_list_price) B2_CNTD\n FROM store_sales\n WHERE ss_quantity BETWEEN 6 AND 10\n AND (ss_list_price BETWEEN 90 AND 90+10\n OR ss_coupon_amt BETWEEN 2323 AND 2323+1000\n OR ss_wholesale_cost BETWEEN 31 AND 31+20)) B2,\n (SELECT avg(ss_list_price) B3_LP,\n count(ss_list_price) B3_CNT,\n count(DISTINCT ss_list_price) B3_CNTD\n FROM store_sales\n WHERE ss_quantity BETWEEN 11 AND 15\n AND (ss_list_price BETWEEN 142 AND 142+10\n OR ss_coupon_amt BETWEEN 12214 AND 12214+1000\n OR ss_wholesale_cost BETWEEN 79 AND 79+20)) B3,\n (SELECT avg(ss_list_price) B4_LP,\n count(ss_list_price) B4_CNT,\n count(DISTINCT ss_list_price) B4_CNTD\n FROM store_sales\n WHERE ss_quantity BETWEEN 16 AND 20\n AND (ss_list_price BETWEEN 135 AND 135+10\n OR ss_coupon_amt BETWEEN 6071 AND 6071+1000\n OR ss_wholesale_cost BETWEEN 38 AND 38+20)) B4,\n (SELECT avg(ss_list_price) B5_LP,\n count(ss_list_price) B5_CNT,\n count(DISTINCT ss_list_price) B5_CNTD\n FROM store_sales\n WHERE ss_quantity BETWEEN 21 AND 25\n AND (ss_list_price BETWEEN 122 AND 122+10\n OR ss_coupon_amt BETWEEN 836 AND 836+1000\n OR ss_wholesale_cost BETWEEN 17 AND 17+20)) B5,\n (SELECT avg(ss_list_price) B6_LP,\n count(ss_list_price) B6_CNT,\n count(DISTINCT ss_list_price) B6_CNTD\n FROM store_sales\n WHERE ss_quantity BETWEEN 26 AND 30\n AND (ss_list_price BETWEEN 154 AND 154+10\n OR ss_coupon_amt BETWEEN 7326 AND 7326+1000\n OR ss_wholesale_cost BETWEEN 7 AND 7+20)) B6\nLIMIT 100;\n\n"} |
| {"id": 28, "query": "SELECT i_item_id,\n i_item_desc,\n s_store_id,\n s_store_name,\n sum(ss_quantity) AS store_sales_quantity,\n sum(sr_return_quantity) AS store_returns_quantity,\n sum(cs_quantity) AS catalog_sales_quantity\nFROM store_sales,\n store_returns,\n catalog_sales,\n date_dim d1,\n date_dim d2,\n date_dim d3,\n store,\n item\nWHERE d1.d_moy = 9\n AND d1.d_year = 1999\n AND d1.d_date_sk = ss_sold_date_sk\n AND i_item_sk = ss_item_sk\n AND s_store_sk = ss_store_sk\n AND ss_customer_sk = sr_customer_sk\n AND ss_item_sk = sr_item_sk\n AND ss_ticket_number = sr_ticket_number\n AND sr_returned_date_sk = d2.d_date_sk\n AND d2.d_moy BETWEEN 9 AND 9 + 3\n AND d2.d_year = 1999\n AND sr_customer_sk = cs_bill_customer_sk\n AND sr_item_sk = cs_item_sk\n AND cs_sold_date_sk = d3.d_date_sk\n AND d3.d_year IN (1999,\n 1999+1,\n 1999+2)\nGROUP BY i_item_id,\n i_item_desc,\n s_store_id,\n s_store_name\nORDER BY i_item_id,\n i_item_desc,\n s_store_id,\n s_store_name\nLIMIT 100;\n\n"} |
| {"id": 29, "query": "WITH customer_total_return AS\n (SELECT wr_returning_customer_sk AS ctr_customer_sk,\n ca_state AS ctr_state,\n sum(wr_return_amt) AS ctr_total_return\n FROM web_returns,\n date_dim,\n customer_address\n WHERE wr_returned_date_sk = d_date_sk\n AND d_year = 2002\n AND wr_returning_addr_sk = ca_address_sk\n GROUP BY wr_returning_customer_sk,\n ca_state)\nSELECT c_customer_id,\n c_salutation,\n c_first_name,\n c_last_name,\n c_preferred_cust_flag,\n c_birth_day,\n c_birth_month,\n c_birth_year,\n c_birth_country,\n c_login,\n c_email_address,\n c_last_review_date_sk,\n ctr_total_return\nFROM customer_total_return ctr1,\n customer_address,\n customer\nWHERE ctr1.ctr_total_return >\n (SELECT avg(ctr_total_return)*1.2\n FROM customer_total_return ctr2\n WHERE ctr1.ctr_state = ctr2.ctr_state)\n AND ca_address_sk = c_current_addr_sk\n AND ca_state = 'GA'\n AND ctr1.ctr_customer_sk = c_customer_sk\nORDER BY c_customer_id NULLS FIRST,\n c_salutation NULLS FIRST,\n c_first_name NULLS FIRST,\n c_last_name NULLS FIRST,\n c_preferred_cust_flag NULLS FIRST,\n c_birth_day NULLS FIRST,\n c_birth_month NULLS FIRST,\n c_birth_year NULLS FIRST,\n c_birth_country NULLS FIRST,\n c_login NULLS FIRST,\n c_email_address NULLS FIRST,\n c_last_review_date_sk NULLS FIRST,\n ctr_total_return NULLS FIRST\nLIMIT 100;\n\n"} |
| {"id": 30, "query": "WITH ss AS\n (SELECT ca_county,\n d_qoy,\n d_year,\n sum(ss_ext_sales_price) AS store_sales\n FROM store_sales,\n date_dim,\n customer_address\n WHERE ss_sold_date_sk = d_date_sk\n AND ss_addr_sk=ca_address_sk\n GROUP BY ca_county,\n d_qoy,\n d_year),\n ws AS\n (SELECT ca_county,\n d_qoy,\n d_year,\n sum(ws_ext_sales_price) AS web_sales\n FROM web_sales,\n date_dim,\n customer_address\n WHERE ws_sold_date_sk = d_date_sk\n AND ws_bill_addr_sk=ca_address_sk\n GROUP BY ca_county,\n d_qoy,\n d_year)\nSELECT ss1.ca_county ,\n ss1.d_year ,\n (ws2.web_sales*1.0000)/ws1.web_sales web_q1_q2_increase ,\n (ss2.store_sales*1.0000)/ss1.store_sales store_q1_q2_increase ,\n (ws3.web_sales*1.0000)/ws2.web_sales web_q2_q3_increase ,\n (ss3.store_sales*1.0000)/ss2.store_sales store_q2_q3_increase\nFROM ss ss1 ,\n ss ss2 ,\n ss ss3 ,\n ws ws1 ,\n ws ws2 ,\n ws ws3\nWHERE ss1.d_qoy = 1\n AND ss1.d_year = 2000\n AND ss1.ca_county = ss2.ca_county\n AND ss2.d_qoy = 2\n AND ss2.d_year = 2000\n AND ss2.ca_county = ss3.ca_county\n AND ss3.d_qoy = 3\n AND ss3.d_year = 2000\n AND ss1.ca_county = ws1.ca_county\n AND ws1.d_qoy = 1\n AND ws1.d_year = 2000\n AND ws1.ca_county = ws2.ca_county\n AND ws2.d_qoy = 2\n AND ws2.d_year = 2000\n AND ws1.ca_county = ws3.ca_county\n AND ws3.d_qoy = 3\n AND ws3.d_year = 2000\n AND CASE\n WHEN ws1.web_sales > 0 THEN (ws2.web_sales*1.0000)/ws1.web_sales\n ELSE NULL\n END > CASE\n WHEN ss1.store_sales > 0 THEN (ss2.store_sales*1.0000)/ss1.store_sales\n ELSE NULL\n END\n AND CASE\n WHEN ws2.web_sales > 0 THEN (ws3.web_sales*1.0000)/ws2.web_sales\n ELSE NULL\n END > CASE\n WHEN ss2.store_sales > 0 THEN (ss3.store_sales*1.0000)/ss2.store_sales\n ELSE NULL\n END\nORDER BY ss1.ca_county;\n\n"} |
| {"id": 31, "query": "SELECT sum(cs_ext_discount_amt) AS \"excess discount amount\"\nFROM catalog_sales ,\n item ,\n date_dim\nWHERE i_manufact_id = 977\n AND i_item_sk = cs_item_sk\n AND d_date BETWEEN '2000-01-27' AND cast('2000-04-26' AS date)\n AND d_date_sk = cs_sold_date_sk\n AND cs_ext_discount_amt >\n ( SELECT 1.3 * avg(cs_ext_discount_amt)\n FROM catalog_sales ,\n date_dim\n WHERE cs_item_sk = i_item_sk\n AND d_date BETWEEN '2000-01-27' AND cast('2000-04-26' AS date)\n AND d_date_sk = cs_sold_date_sk )\nLIMIT 100;\n\n"} |
| {"id": 32, "query": "WITH ss AS\n ( SELECT i_manufact_id,\n sum(ss_ext_sales_price) total_sales\n FROM store_sales,\n date_dim,\n customer_address,\n item\n WHERE i_manufact_id IN\n (SELECT i_manufact_id\n FROM item\n WHERE i_category IN ('Electronics'))\n AND ss_item_sk = i_item_sk\n AND ss_sold_date_sk = d_date_sk\n AND d_year = 1998\n AND d_moy = 5\n AND ss_addr_sk = ca_address_sk\n AND ca_gmt_offset = -5\n GROUP BY i_manufact_id),\n cs AS\n ( SELECT i_manufact_id,\n sum(cs_ext_sales_price) total_sales\n FROM catalog_sales,\n date_dim,\n customer_address,\n item\n WHERE i_manufact_id IN\n (SELECT i_manufact_id\n FROM item\n WHERE i_category IN ('Electronics'))\n AND cs_item_sk = i_item_sk\n AND cs_sold_date_sk = d_date_sk\n AND d_year = 1998\n AND d_moy = 5\n AND cs_bill_addr_sk = ca_address_sk\n AND ca_gmt_offset = -5\n GROUP BY i_manufact_id),\n ws AS\n ( SELECT i_manufact_id,\n sum(ws_ext_sales_price) total_sales\n FROM web_sales,\n date_dim,\n customer_address,\n item\n WHERE i_manufact_id IN\n (SELECT i_manufact_id\n FROM item\n WHERE i_category IN ('Electronics'))\n AND ws_item_sk = i_item_sk\n AND ws_sold_date_sk = d_date_sk\n AND d_year = 1998\n AND d_moy = 5\n AND ws_bill_addr_sk = ca_address_sk\n AND ca_gmt_offset = -5\n GROUP BY i_manufact_id)\nSELECT i_manufact_id,\n sum(total_sales) total_sales\nFROM\n (SELECT *\n FROM ss\n UNION ALL SELECT *\n FROM cs\n UNION ALL SELECT *\n FROM ws) tmp1\nGROUP BY i_manufact_id\nORDER BY total_sales\nLIMIT 100;\n\n"} |
| {"id": 33, "query": "SELECT c_last_name ,\n c_first_name ,\n c_salutation ,\n c_preferred_cust_flag ,\n ss_ticket_number ,\n cnt\nFROM\n (SELECT ss_ticket_number ,\n ss_customer_sk ,\n count(*) cnt\n FROM store_sales,\n date_dim,\n store,\n household_demographics\n WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk\n AND store_sales.ss_store_sk = store.s_store_sk\n AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk\n AND (date_dim.d_dom BETWEEN 1 AND 3\n OR date_dim.d_dom BETWEEN 25 AND 28)\n AND (household_demographics.hd_buy_potential = '>10000'\n OR household_demographics.hd_buy_potential = 'Unknown')\n AND household_demographics.hd_vehicle_count > 0\n AND (CASE\n WHEN household_demographics.hd_vehicle_count > 0 THEN (household_demographics.hd_dep_count*1.000)/ household_demographics.hd_vehicle_count\n ELSE NULL\n END) > 1.2\n AND date_dim.d_year IN (1999,\n 1999+1,\n 1999+2)\n AND store.s_county = 'Williamson County'\n GROUP BY ss_ticket_number,\n ss_customer_sk) dn,\n customer\nWHERE ss_customer_sk = c_customer_sk\n AND cnt BETWEEN 15 AND 20\nORDER BY c_last_name NULLS FIRST,\n c_first_name NULLS FIRST,\n c_salutation NULLS FIRST,\n c_preferred_cust_flag DESC NULLS FIRST,\n ss_ticket_number NULLS FIRST;\n\n"} |
| {"id": 34, "query": "SELECT ca_state,\n cd_gender,\n cd_marital_status,\n cd_dep_count,\n count(*) cnt1,\n min(cd_dep_count) min1,\n max(cd_dep_count) max1,\n avg(cd_dep_count) avg1,\n cd_dep_employed_count,\n count(*) cnt2,\n min(cd_dep_employed_count) min2,\n max(cd_dep_employed_count) max2,\n avg(cd_dep_employed_count) avg2,\n cd_dep_college_count,\n count(*) cnt3,\n min(cd_dep_college_count),\n max(cd_dep_college_count),\n avg(cd_dep_college_count)\nFROM customer c,\n customer_address ca,\n customer_demographics\nWHERE c.c_current_addr_sk = ca.ca_address_sk\n AND cd_demo_sk = c.c_current_cdemo_sk\n AND EXISTS\n (SELECT *\n FROM store_sales,\n date_dim\n WHERE c.c_customer_sk = ss_customer_sk\n AND ss_sold_date_sk = d_date_sk\n AND d_year = 2002\n AND d_qoy < 4)\n AND (EXISTS\n (SELECT *\n FROM web_sales,\n date_dim\n WHERE c.c_customer_sk = ws_bill_customer_sk\n AND ws_sold_date_sk = d_date_sk\n AND d_year = 2002\n AND d_qoy < 4)\n OR EXISTS\n (SELECT *\n FROM catalog_sales,\n date_dim\n WHERE c.c_customer_sk = cs_ship_customer_sk\n AND cs_sold_date_sk = d_date_sk\n AND d_year = 2002\n AND d_qoy < 4))\nGROUP BY ca_state,\n cd_gender,\n cd_marital_status,\n cd_dep_count,\n cd_dep_employed_count,\n cd_dep_college_count\nORDER BY ca_state NULLS FIRST,\n cd_gender NULLS FIRST,\n cd_marital_status NULLS FIRST,\n cd_dep_count NULLS FIRST,\n cd_dep_employed_count NULLS FIRST,\n cd_dep_college_count NULLS FIRST\nLIMIT 100;\n\n"} |
| {"id": 35, "query": "WITH results AS\n (SELECT sum(ss_net_profit) AS ss_net_profit,\n sum(ss_ext_sales_price) AS ss_ext_sales_price,\n (sum(ss_net_profit)*1.0000)/sum(ss_ext_sales_price) AS gross_margin ,\n i_category ,\n i_class ,\n 0 AS g_category,\n 0 AS g_class\n FROM store_sales ,\n date_dim d1 ,\n item ,\n store\n WHERE d1.d_year = 2001\n AND d1.d_date_sk = ss_sold_date_sk\n AND i_item_sk = ss_item_sk\n AND s_store_sk = ss_store_sk\n AND s_state ='TN'\n GROUP BY i_category,\n i_class) ,\n results_rollup AS\n (SELECT gross_margin,\n i_category,\n i_class,\n 0 AS t_category,\n 0 AS t_class,\n 0 AS lochierarchy\n FROM results\n UNION SELECT (sum(ss_net_profit)*1.0000)/sum(ss_ext_sales_price) AS gross_margin,\n i_category,\n NULL AS i_class,\n 0 AS t_category,\n 1 AS t_class,\n 1 AS lochierarchy\n FROM results\n GROUP BY i_category\n UNION SELECT (sum(ss_net_profit)*1.0000)/sum(ss_ext_sales_price) AS gross_margin,\n NULL AS i_category,\n NULL AS i_class,\n 1 AS t_category,\n 1 AS t_class,\n 2 AS lochierarchy\n FROM results)\nSELECT gross_margin,\n i_category,\n i_class,\n lochierarchy,\n rank() OVER ( PARTITION BY lochierarchy,\n CASE\n WHEN t_class = 0 THEN i_category\n END\n ORDER BY gross_margin ASC) AS rank_within_parent\nFROM results_rollup\nORDER BY lochierarchy DESC NULLS FIRST,\n CASE\n WHEN lochierarchy = 0 THEN i_category\n END NULLS FIRST,\n rank_within_parent NULLS FIRST\nLIMIT 100;\n\n"} |
| {"id": 36, "query": "SELECT i_item_id,\n i_item_desc,\n i_current_price\nFROM item,\n inventory,\n date_dim,\n catalog_sales\nWHERE i_current_price BETWEEN 68 AND 68 + 30\n AND inv_item_sk = i_item_sk\n AND d_date_sk=inv_date_sk\n AND d_date BETWEEN cast('2000-02-01' AS date) AND cast('2000-04-01' AS date)\n AND i_manufact_id IN (677,\n 940,\n 694,\n 808)\n AND inv_quantity_on_hand BETWEEN 100 AND 500\n AND cs_item_sk = i_item_sk\nGROUP BY i_item_id,\n i_item_desc,\n i_current_price\nORDER BY i_item_id\nLIMIT 100;\n\n"} |
| {"id": 37, "query": "SELECT count(*)\nFROM\n (SELECT DISTINCT c_last_name,\n c_first_name,\n d_date\n FROM store_sales,\n date_dim,\n customer\n WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk\n AND store_sales.ss_customer_sk = customer.c_customer_sk\n AND d_month_seq BETWEEN 1200 AND 1200 + 11 INTERSECT\n SELECT DISTINCT c_last_name,\n c_first_name,\n d_date\n FROM catalog_sales,\n date_dim,\n customer WHERE catalog_sales.cs_sold_date_sk = date_dim.d_date_sk\n AND catalog_sales.cs_bill_customer_sk = customer.c_customer_sk\n AND d_month_seq BETWEEN 1200 AND 1200 + 11 INTERSECT\n SELECT DISTINCT c_last_name,\n c_first_name,\n d_date\n FROM web_sales,\n date_dim,\n customer WHERE web_sales.ws_sold_date_sk = date_dim.d_date_sk\n AND web_sales.ws_bill_customer_sk = customer.c_customer_sk\n AND d_month_seq BETWEEN 1200 AND 1200 + 11 ) hot_cust\nLIMIT 100;\n\n"} |
| {"id": 38, "query": "WITH inv AS\n (SELECT w_warehouse_name,\n w_warehouse_sk,\n i_item_sk,\n d_moy,\n stdev,\n mean,\n CASE mean\n WHEN 0 THEN NULL\n ELSE stdev/mean\n END cov\n FROM\n (SELECT w_warehouse_name,\n w_warehouse_sk,\n i_item_sk,\n d_moy,\n stddev_samp(inv_quantity_on_hand)*1.000 stdev,\n avg(inv_quantity_on_hand) mean\n FROM inventory,\n item,\n warehouse,\n date_dim\n WHERE inv_item_sk = i_item_sk\n AND inv_warehouse_sk = w_warehouse_sk\n AND inv_date_sk = d_date_sk\n AND d_year =2001\n GROUP BY w_warehouse_name,\n w_warehouse_sk,\n i_item_sk,\n d_moy) foo\n WHERE CASE mean\n WHEN 0 THEN 0\n ELSE stdev/mean\n END > 1)\nSELECT inv1.w_warehouse_sk wsk1,\n inv1.i_item_sk isk1,\n inv1.d_moy dmoy1,\n inv1.mean mean1,\n inv1.cov cov1,\n inv2.w_warehouse_sk,\n inv2.i_item_sk,\n inv2.d_moy,\n inv2.mean,\n inv2.cov\nFROM inv inv1,\n inv inv2\nWHERE inv1.i_item_sk = inv2.i_item_sk\n AND inv1.w_warehouse_sk = inv2.w_warehouse_sk\n AND inv1.d_moy=1\n AND inv2.d_moy=1+1\nORDER BY inv1.w_warehouse_sk NULLS FIRST,\n inv1.i_item_sk NULLS FIRST,\n inv1.d_moy NULLS FIRST,\n inv1.mean NULLS FIRST,\n inv1.cov NULLS FIRST,\n inv2.d_moy NULLS FIRST,\n inv2.mean NULLS FIRST,\n inv2.cov NULLS FIRST;\n\n"} |
| {"id": 39, "query": "SELECT w_state,\n i_item_id,\n sum(CASE\n WHEN (cast(d_date AS date) < CAST ('2000-03-11' AS date)) THEN cs_sales_price - coalesce(cr_refunded_cash,0)\n ELSE 0\n END) AS sales_before,\n sum(CASE\n WHEN (cast(d_date AS date) >= CAST ('2000-03-11' AS date)) THEN cs_sales_price - coalesce(cr_refunded_cash,0)\n ELSE 0\n END) AS sales_after\nFROM catalog_sales\nLEFT OUTER JOIN catalog_returns ON (cs_order_number = cr_order_number\n AND cs_item_sk = cr_item_sk) ,warehouse,\n item,\n date_dim\nWHERE i_current_price BETWEEN 0.99 AND 1.49\n AND i_item_sk = cs_item_sk\n AND cs_warehouse_sk = w_warehouse_sk\n AND cs_sold_date_sk = d_date_sk\n AND d_date BETWEEN CAST ('2000-02-10' AS date) AND CAST ('2000-04-10' AS date)\nGROUP BY w_state,\n i_item_id\nORDER BY w_state,\n i_item_id\nLIMIT 100;\n\n"} |
| {"id": 40, "query": "SELECT distinct(i_product_name)\nFROM item i1\nWHERE i_manufact_id BETWEEN 738 AND 738+40\n AND\n (SELECT count(*) AS item_cnt\n FROM item\n WHERE (i_manufact = i1.i_manufact\n AND ((i_category = 'Women'\n AND (i_color = 'powder'\n OR i_color = 'khaki')\n AND (i_units = 'Ounce'\n OR i_units = 'Oz')\n AND (i_size = 'medium'\n OR i_size = 'extra large'))\n OR (i_category = 'Women'\n AND (i_color = 'brown'\n OR i_color = 'honeydew')\n AND (i_units = 'Bunch'\n OR i_units = 'Ton')\n AND (i_size = 'N/A'\n OR i_size = 'small'))\n OR (i_category = 'Men'\n AND (i_color = 'floral'\n OR i_color = 'deep')\n AND (i_units = 'N/A'\n OR i_units = 'Dozen')\n AND (i_size = 'petite'\n OR i_size = 'petite'))\n OR (i_category = 'Men'\n AND (i_color = 'light'\n OR i_color = 'cornflower')\n AND (i_units = 'Box'\n OR i_units = 'Pound')\n AND (i_size = 'medium'\n OR i_size = 'extra large'))))\n OR (i_manufact = i1.i_manufact\n AND ((i_category = 'Women'\n AND (i_color = 'midnight'\n OR i_color = 'snow')\n AND (i_units = 'Pallet'\n OR i_units = 'Gross')\n AND (i_size = 'medium'\n OR i_size = 'extra large'))\n OR (i_category = 'Women'\n AND (i_color = 'cyan'\n OR i_color = 'papaya')\n AND (i_units = 'Cup'\n OR i_units = 'Dram')\n AND (i_size = 'N/A'\n OR i_size = 'small'))\n OR (i_category = 'Men'\n AND (i_color = 'orange'\n OR i_color = 'frosted')\n AND (i_units = 'Each'\n OR i_units = 'Tbl')\n AND (i_size = 'petite'\n OR i_size = 'petite'))\n OR (i_category = 'Men'\n AND (i_color = 'forest'\n OR i_color = 'ghost')\n AND (i_units = 'Lb'\n OR i_units = 'Bundle')\n AND (i_size = 'medium'\n OR i_size = 'extra large'))))) > 0\nORDER BY i_product_name\nLIMIT 100;\n\n"} |
| {"id": 41, "query": "SELECT dt.d_year,\n item.i_category_id,\n item.i_category,\n sum(ss_ext_sales_price)\nFROM date_dim dt,\n store_sales,\n item\nWHERE dt.d_date_sk = store_sales.ss_sold_date_sk\n AND store_sales.ss_item_sk = item.i_item_sk\n AND item.i_manager_id = 1\n AND dt.d_moy=11\n AND dt.d_year=2000\nGROUP BY dt.d_year,\n item.i_category_id,\n item.i_category\nORDER BY sum(ss_ext_sales_price) DESC,dt.d_year,\n item.i_category_id,\n item.i_category\nLIMIT 100 ;\n\n"} |
| {"id": 42, "query": "\nSELECT s_store_name,\n s_store_id,\n sum(CASE\n WHEN (d_day_name='Sunday') THEN ss_sales_price\n ELSE NULL\n END) sun_sales,\n sum(CASE\n WHEN (d_day_name='Monday') THEN ss_sales_price\n ELSE NULL\n END) mon_sales,\n sum(CASE\n WHEN (d_day_name='Tuesday') THEN ss_sales_price\n ELSE NULL\n END) tue_sales,\n sum(CASE\n WHEN (d_day_name='Wednesday') THEN ss_sales_price\n ELSE NULL\n END) wed_sales,\n sum(CASE\n WHEN (d_day_name='Thursday') THEN ss_sales_price\n ELSE NULL\n END) thu_sales,\n sum(CASE\n WHEN (d_day_name='Friday') THEN ss_sales_price\n ELSE NULL\n END) fri_sales,\n sum(CASE\n WHEN (d_day_name='Saturday') THEN ss_sales_price\n ELSE NULL\n END) sat_sales\nFROM date_dim,\n store_sales,\n store\nWHERE d_date_sk = ss_sold_date_sk\n AND s_store_sk = ss_store_sk\n AND s_gmt_offset = -5\n AND d_year = 2000\nGROUP BY s_store_name,\n s_store_id\nORDER BY s_store_name,\n s_store_id,\n sun_sales,\n mon_sales,\n tue_sales,\n wed_sales,\n thu_sales,\n fri_sales,\n sat_sales\nLIMIT 100;\n\n"} |
| {"id": 43, "query": "SELECT asceding.rnk,\n i1.i_product_name best_performing,\n i2.i_product_name worst_performing\nFROM\n (SELECT *\n FROM\n (SELECT item_sk,\n rank() OVER (\n ORDER BY rank_col ASC) rnk\n FROM\n (SELECT ss_item_sk item_sk,\n avg(ss_net_profit) rank_col\n FROM store_sales ss1\n WHERE ss_store_sk = 4\n GROUP BY ss_item_sk\n HAVING avg(ss_net_profit) > 0.9*\n (SELECT avg(ss_net_profit) rank_col\n FROM store_sales\n WHERE ss_store_sk = 4\n AND ss_addr_sk IS NULL\n GROUP BY ss_store_sk))V1)V11\n WHERE rnk < 11) asceding,\n (SELECT *\n FROM\n (SELECT item_sk,\n rank() OVER (\n ORDER BY rank_col DESC) rnk\n FROM\n (SELECT ss_item_sk item_sk,\n avg(ss_net_profit) rank_col\n FROM store_sales ss1\n WHERE ss_store_sk = 4\n GROUP BY ss_item_sk\n HAVING avg(ss_net_profit) > 0.9*\n (SELECT avg(ss_net_profit) rank_col\n FROM store_sales\n WHERE ss_store_sk = 4\n AND ss_addr_sk IS NULL\n GROUP BY ss_store_sk))V2)V21\n WHERE rnk < 11) descending,\n item i1,\n item i2\nWHERE asceding.rnk = descending.rnk\n AND i1.i_item_sk=asceding.item_sk\n AND i2.i_item_sk=descending.item_sk\nORDER BY asceding.rnk\nLIMIT 100;\n\n"} |
| {"id": 44, "query": "SELECT ca_zip,\n ca_city,\n sum(ws_sales_price)\nFROM web_sales,\n customer,\n customer_address,\n date_dim,\n item\nWHERE ws_bill_customer_sk = c_customer_sk\n AND c_current_addr_sk = ca_address_sk\n AND ws_item_sk = i_item_sk\n AND (SUBSTRING(ca_zip,1,5) IN ('85669',\n '86197',\n '88274',\n '83405',\n '86475',\n '85392',\n '85460',\n '80348',\n '81792')\n OR i_item_id IN\n (SELECT i_item_id\n FROM item\n WHERE i_item_sk IN (2,\n 3,\n 5,\n 7,\n 11,\n 13,\n 17,\n 19,\n 23,\n 29) ))\n AND ws_sold_date_sk = d_date_sk\n AND d_qoy = 2\n AND d_year = 2001\nGROUP BY ca_zip,\n ca_city\nORDER BY ca_zip,\n ca_city\nLIMIT 100;\n\n"} |
| {"id": 45, "query": "\nSELECT c_last_name,\n c_first_name,\n ca_city,\n bought_city,\n ss_ticket_number,\n amt,\n profit\nFROM\n (SELECT ss_ticket_number,\n ss_customer_sk,\n ca_city bought_city,\n sum(ss_coupon_amt) amt,\n sum(ss_net_profit) profit\n FROM store_sales,\n date_dim,\n store,\n household_demographics,\n customer_address\n WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk\n AND store_sales.ss_store_sk = store.s_store_sk\n AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk\n AND store_sales.ss_addr_sk = customer_address.ca_address_sk\n AND (household_demographics.hd_dep_count = 4\n OR household_demographics.hd_vehicle_count= 3)\n AND date_dim.d_dow IN (6,\n 0)\n AND date_dim.d_year IN (1999,\n 1999+1,\n 1999+2)\n AND store.s_city IN ('Fairview',\n 'Midway')\n GROUP BY ss_ticket_number,\n ss_customer_sk,\n ss_addr_sk,\n ca_city) dn,\n customer,\n customer_address current_addr\nWHERE ss_customer_sk = c_customer_sk\n AND customer.c_current_addr_sk = current_addr.ca_address_sk\n AND current_addr.ca_city <> bought_city\nORDER BY c_last_name NULLS FIRST,\n c_first_name NULLS FIRST,\n ca_city NULLS FIRST,\n bought_city NULLS FIRST,\n ss_ticket_number NULLS FIRST\nLIMIT 100;\n\n"} |
| {"id": 46, "query": "WITH v1 AS\n (SELECT i_category,\n i_brand,\n s_store_name,\n s_company_name,\n d_year,\n d_moy,\n sum(ss_sales_price) sum_sales,\n avg(sum(ss_sales_price)) OVER (PARTITION BY i_category,\n i_brand,\n s_store_name,\n s_company_name,\n d_year) avg_monthly_sales,\n rank() OVER (PARTITION BY i_category,\n i_brand,\n s_store_name,\n s_company_name\n ORDER BY d_year,\n d_moy) rn\n FROM item,\n store_sales,\n date_dim,\n store\n WHERE ss_item_sk = i_item_sk\n AND ss_sold_date_sk = d_date_sk\n AND ss_store_sk = s_store_sk\n AND (d_year = 1999\n OR (d_year = 1999-1\n AND d_moy =12)\n OR (d_year = 1999+1\n AND d_moy =1))\n GROUP BY i_category,\n i_brand,\n s_store_name,\n s_company_name,\n d_year,\n d_moy),\n v2 AS\n (SELECT v1.i_category,\n v1.i_brand,\n v1.s_store_name,\n v1.s_company_name,\n v1.d_year,\n v1.d_moy,\n v1.avg_monthly_sales,\n v1.sum_sales,\n v1_lag.sum_sales psum,\n v1_lead.sum_sales nsum\n FROM v1,\n v1 v1_lag,\n v1 v1_lead\n WHERE v1.i_category = v1_lag.i_category\n AND v1.i_category = v1_lead.i_category\n AND v1.i_brand = v1_lag.i_brand\n AND v1.i_brand = v1_lead.i_brand\n AND v1.s_store_name = v1_lag.s_store_name\n AND v1.s_store_name = v1_lead.s_store_name\n AND v1.s_company_name = v1_lag.s_company_name\n AND v1.s_company_name = v1_lead.s_company_name\n AND v1.rn = v1_lag.rn + 1\n AND v1.rn = v1_lead.rn - 1)\nSELECT *\nFROM v2\nWHERE d_year = 1999\n AND avg_monthly_sales > 0\n AND CASE\n WHEN avg_monthly_sales > 0 THEN abs(sum_sales - avg_monthly_sales) / avg_monthly_sales\n ELSE NULL\n END > 0.1\nORDER BY sum_sales - avg_monthly_sales, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10\nLIMIT 100;\n\n"} |
| {"id": 47, "query": "SELECT SUM (ss_quantity)\nFROM store_sales,\n store,\n customer_demographics,\n customer_address,\n date_dim\nWHERE s_store_sk = ss_store_sk\n AND ss_sold_date_sk = d_date_sk\n AND d_year = 2000\n AND ((cd_demo_sk = ss_cdemo_sk\n AND cd_marital_status = 'M'\n AND cd_education_status = '4 yr Degree'\n AND ss_sales_price BETWEEN 100.00 AND 150.00)\n OR (cd_demo_sk = ss_cdemo_sk\n AND cd_marital_status = 'D'\n AND cd_education_status = '2 yr Degree'\n AND ss_sales_price BETWEEN 50.00 AND 100.00)\n OR (cd_demo_sk = ss_cdemo_sk\n AND cd_marital_status = 'S'\n AND cd_education_status = 'College'\n AND ss_sales_price BETWEEN 150.00 AND 200.00))\n AND ((ss_addr_sk = ca_address_sk\n AND ca_country = 'United States'\n AND ca_state IN ('CO',\n 'OH',\n 'TX')\n AND ss_net_profit BETWEEN 0 AND 2000)\n OR (ss_addr_sk = ca_address_sk\n AND ca_country = 'United States'\n AND ca_state IN ('OR',\n 'MN',\n 'KY')\n AND ss_net_profit BETWEEN 150 AND 3000)\n OR (ss_addr_sk = ca_address_sk\n AND ca_country = 'United States'\n AND ca_state IN ('VA',\n 'CA',\n 'MS')\n AND ss_net_profit BETWEEN 50 AND 25000)) ;\n\n"} |
| {"id": 48, "query": "\nSELECT channel,\n item,\n return_ratio,\n return_rank,\n currency_rank\nFROM\n (SELECT 'web' AS channel,\n web.item,\n web.return_ratio,\n web.return_rank,\n web.currency_rank\n FROM\n (SELECT item,\n return_ratio,\n currency_ratio,\n rank() OVER (\n ORDER BY return_ratio) AS return_rank,\n rank() OVER (\n ORDER BY currency_ratio) AS currency_rank\n FROM\n (SELECT ws.ws_item_sk AS item,\n (cast(sum(coalesce(wr.wr_return_quantity,0)) AS decimal(15,4))/ cast(sum(coalesce(ws.ws_quantity,0)) AS decimal(15,4))) AS return_ratio,\n (cast(sum(coalesce(wr.wr_return_amt,0)) AS decimal(15,4))/ cast(sum(coalesce(ws.ws_net_paid,0)) AS decimal(15,4))) AS currency_ratio\n FROM web_sales ws\n LEFT OUTER JOIN web_returns wr ON (ws.ws_order_number = wr.wr_order_number\n AND ws.ws_item_sk = wr.wr_item_sk) ,date_dim\n WHERE wr.wr_return_amt > 10000\n AND ws.ws_net_profit > 1\n AND ws.ws_net_paid > 0\n AND ws.ws_quantity > 0\n AND ws_sold_date_sk = d_date_sk\n AND d_year = 2001\n AND d_moy = 12\n GROUP BY ws.ws_item_sk) in_web) web\n WHERE (web.return_rank <= 10\n OR web.currency_rank <= 10)\n UNION SELECT 'catalog' AS channel,\n catalog.item,\n catalog.return_ratio,\n catalog.return_rank,\n catalog.currency_rank\n FROM\n (SELECT item,\n return_ratio,\n currency_ratio,\n rank() OVER (\n ORDER BY return_ratio) AS return_rank,\n rank() OVER (\n ORDER BY currency_ratio) AS currency_rank\n FROM\n (SELECT cs.cs_item_sk AS item,\n (cast(sum(coalesce(cr.cr_return_quantity,0)) AS decimal(15,4))/ cast(sum(coalesce(cs.cs_quantity,0)) AS decimal(15,4))) AS return_ratio,\n (cast(sum(coalesce(cr.cr_return_amount,0)) AS decimal(15,4))/ cast(sum(coalesce(cs.cs_net_paid,0)) AS decimal(15,4))) AS currency_ratio\n FROM catalog_sales cs\n LEFT OUTER JOIN catalog_returns cr ON (cs.cs_order_number = cr.cr_order_number\n AND cs.cs_item_sk = cr.cr_item_sk) ,date_dim\n WHERE cr.cr_return_amount > 10000\n AND cs.cs_net_profit > 1\n AND cs.cs_net_paid > 0\n AND cs.cs_quantity > 0\n AND cs_sold_date_sk = d_date_sk\n AND d_year = 2001\n AND d_moy = 12\n GROUP BY cs.cs_item_sk) in_cat) CATALOG\n WHERE (catalog.return_rank <= 10\n OR catalog.currency_rank <=10)\n UNION SELECT 'store' AS channel,\n store.item,\n store.return_ratio,\n store.return_rank,\n store.currency_rank\n FROM\n (SELECT item,\n return_ratio,\n currency_ratio,\n rank() OVER (\n ORDER BY return_ratio) AS return_rank,\n rank() OVER (\n ORDER BY currency_ratio) AS currency_rank\n FROM\n (SELECT sts.ss_item_sk AS item,\n (cast(sum(coalesce(sr.sr_return_quantity,0)) AS decimal(15,4))/cast(sum(coalesce(sts.ss_quantity,0)) AS decimal(15,4))) AS return_ratio,\n (cast(sum(coalesce(sr.sr_return_amt,0)) AS decimal(15,4))/cast(sum(coalesce(sts.ss_net_paid,0)) AS decimal(15,4))) AS currency_ratio\n FROM store_sales sts\n LEFT OUTER JOIN store_returns sr ON (sts.ss_ticket_number = sr.sr_ticket_number\n AND sts.ss_item_sk = sr.sr_item_sk) ,date_dim\n WHERE sr.sr_return_amt > 10000\n AND sts.ss_net_profit > 1\n AND sts.ss_net_paid > 0\n AND sts.ss_quantity > 0\n AND ss_sold_date_sk = d_date_sk\n AND d_year = 2001\n AND d_moy = 12\n GROUP BY sts.ss_item_sk) in_store) store\n WHERE (store.return_rank <= 10\n OR store.currency_rank <= 10) ) sq1\nORDER BY 1 NULLS FIRST,\n 4 NULLS FIRST,\n 5 NULLS FIRST,\n 2 NULLS FIRST\nLIMIT 100;\n\n"} |
| {"id": 49, "query": "SELECT s_store_name,\n s_company_id,\n s_street_number,\n s_street_name,\n s_street_type,\n s_suite_number,\n s_city,\n s_county,\n s_state,\n s_zip,\n sum(CASE\n WHEN (sr_returned_date_sk - ss_sold_date_sk <= 30) THEN 1\n ELSE 0\n END) AS \"30 days\",\n sum(CASE\n WHEN (sr_returned_date_sk - ss_sold_date_sk > 30)\n AND (sr_returned_date_sk - ss_sold_date_sk <= 60) THEN 1\n ELSE 0\n END) AS \"31-60 days\",\n sum(CASE\n WHEN (sr_returned_date_sk - ss_sold_date_sk > 60)\n AND (sr_returned_date_sk - ss_sold_date_sk <= 90) THEN 1\n ELSE 0\n END) AS \"61-90 days\",\n sum(CASE\n WHEN (sr_returned_date_sk - ss_sold_date_sk > 90)\n AND (sr_returned_date_sk - ss_sold_date_sk <= 120) THEN 1\n ELSE 0\n END) AS \"91-120 days\",\n sum(CASE\n WHEN (sr_returned_date_sk - ss_sold_date_sk > 120) THEN 1\n ELSE 0\n END) AS \">120 days\"\nFROM store_sales,\n store_returns,\n store,\n date_dim d1,\n date_dim d2\nWHERE d2.d_year = 2001\n AND d2.d_moy = 8\n AND ss_ticket_number = sr_ticket_number\n AND ss_item_sk = sr_item_sk\n AND ss_sold_date_sk = d1.d_date_sk\n AND sr_returned_date_sk = d2.d_date_sk\n AND ss_customer_sk = sr_customer_sk\n AND ss_store_sk = s_store_sk\nGROUP BY s_store_name,\n s_company_id,\n s_street_number,\n s_street_name,\n s_street_type,\n s_suite_number,\n s_city,\n s_county,\n s_state,\n s_zip\nORDER BY s_store_name,\n s_company_id,\n s_street_number,\n s_street_name,\n s_street_type,\n s_suite_number,\n s_city,\n s_county,\n s_state,\n s_zip\nLIMIT 100;\n\n"} |
| {"id": 50, "query": "WITH web_v1 AS\n (SELECT ws_item_sk item_sk,\n d_date,\n sum(sum(ws_sales_price)) OVER (PARTITION BY ws_item_sk\n ORDER BY d_date ROWS BETWEEN unbounded preceding AND CURRENT ROW) cume_sales\n FROM web_sales,\n date_dim\n WHERE ws_sold_date_sk=d_date_sk\n AND d_month_seq BETWEEN 1200 AND 1200+11\n AND ws_item_sk IS NOT NULL\n GROUP BY ws_item_sk,\n d_date),\n store_v1 AS\n (SELECT ss_item_sk item_sk,\n d_date,\n sum(sum(ss_sales_price)) OVER (PARTITION BY ss_item_sk\n ORDER BY d_date ROWS BETWEEN unbounded preceding AND CURRENT ROW) cume_sales\n FROM store_sales,\n date_dim\n WHERE ss_sold_date_sk=d_date_sk\n AND d_month_seq BETWEEN 1200 AND 1200+11\n AND ss_item_sk IS NOT NULL\n GROUP BY ss_item_sk,\n d_date)\nSELECT *\nFROM\n (SELECT item_sk,\n d_date,\n web_sales,\n store_sales,\n max(web_sales) OVER (PARTITION BY item_sk\n ORDER BY d_date ROWS BETWEEN unbounded preceding AND CURRENT ROW) web_cumulative,\n max(store_sales) OVER (PARTITION BY item_sk\n ORDER BY d_date ROWS BETWEEN unbounded preceding AND CURRENT ROW) store_cumulative\n FROM\n (SELECT CASE\n WHEN web.item_sk IS NOT NULL THEN web.item_sk\n ELSE store.item_sk\n END item_sk,\n CASE\n WHEN web.d_date IS NOT NULL THEN web.d_date\n ELSE store.d_date\n END d_date,\n web.cume_sales web_sales,\n store.cume_sales store_sales\n FROM web_v1 web\n FULL OUTER JOIN store_v1 store ON (web.item_sk = store.item_sk\n AND web.d_date = store.d_date))x)y\nWHERE web_cumulative > store_cumulative\nORDER BY item_sk NULLS FIRST,\n d_date NULLS FIRST\nLIMIT 100;\n\n"} |
| {"id": 51, "query": "SELECT dt.d_year,\n item.i_brand_id brand_id,\n item.i_brand brand,\n sum(ss_ext_sales_price) ext_price\nFROM date_dim dt,\n store_sales,\n item\nWHERE dt.d_date_sk = store_sales.ss_sold_date_sk\n AND store_sales.ss_item_sk = item.i_item_sk\n AND item.i_manager_id = 1\n AND dt.d_moy=11\n AND dt.d_year=2000\nGROUP BY dt.d_year,\n item.i_brand,\n item.i_brand_id\nORDER BY dt.d_year,\n ext_price DESC,\n brand_id\nLIMIT 100 ;\n\n"} |
| {"id": 52, "query": "SELECT *\nFROM\n (SELECT i_manufact_id,\n sum(ss_sales_price) sum_sales,\n avg(sum(ss_sales_price)) OVER (PARTITION BY i_manufact_id) avg_quarterly_sales\n FROM item,\n store_sales,\n date_dim,\n store\n WHERE ss_item_sk = i_item_sk\n AND ss_sold_date_sk = d_date_sk\n AND ss_store_sk = s_store_sk\n AND d_month_seq IN (1200,\n 1200+1,\n 1200+2,\n 1200+3,\n 1200+4,\n 1200+5,\n 1200+6,\n 1200+7,\n 1200+8,\n 1200+9,\n 1200+10,\n 1200+11)\n AND ((i_category IN ('Books',\n 'Children',\n 'Electronics')\n AND i_class IN ('personal',\n 'portable',\n 'reference',\n 'self-help')\n AND i_brand IN ('scholaramalgamalg #14',\n 'scholaramalgamalg #7',\n 'exportiunivamalg #9',\n 'scholaramalgamalg #9')) or(i_category IN ('Women','Music','Men')\n AND i_class IN ('accessories','classical','fragrances','pants')\n AND i_brand IN ('amalgimporto #1','edu packscholar #1','exportiimporto #1', 'importoamalg #1')))\n GROUP BY i_manufact_id,\n d_qoy) tmp1\nWHERE CASE\n WHEN avg_quarterly_sales > 0 THEN ABS (sum_sales - avg_quarterly_sales)/ avg_quarterly_sales\n ELSE NULL\n END > 0.1\nORDER BY avg_quarterly_sales,\n sum_sales,\n i_manufact_id\nLIMIT 100;\n\n"} |
| {"id": 53, "query": "WITH my_customers AS\n (SELECT DISTINCT c_customer_sk,\n c_current_addr_sk\n FROM\n (SELECT cs_sold_date_sk sold_date_sk,\n cs_bill_customer_sk customer_sk,\n cs_item_sk item_sk\n FROM catalog_sales\n UNION ALL SELECT ws_sold_date_sk sold_date_sk,\n ws_bill_customer_sk customer_sk,\n ws_item_sk item_sk\n FROM web_sales) cs_or_ws_sales,\n item,\n date_dim,\n customer\n WHERE sold_date_sk = d_date_sk\n AND item_sk = i_item_sk\n AND i_category = 'Women'\n AND i_class = 'maternity'\n AND c_customer_sk = cs_or_ws_sales.customer_sk\n AND d_moy = 12\n AND d_year = 1998 ),\n my_revenue AS\n (SELECT c_customer_sk,\n sum(ss_ext_sales_price) AS revenue\n FROM my_customers,\n store_sales,\n customer_address,\n store,\n date_dim\n WHERE c_current_addr_sk = ca_address_sk\n AND ca_county = s_county\n AND ca_state = s_state\n AND ss_sold_date_sk = d_date_sk\n AND c_customer_sk = ss_customer_sk\n AND d_month_seq BETWEEN\n (SELECT DISTINCT d_month_seq+1\n FROM date_dim\n WHERE d_year = 1998\n AND d_moy = 12) AND\n (SELECT DISTINCT d_month_seq+3\n FROM date_dim\n WHERE d_year = 1998\n AND d_moy = 12)\n GROUP BY c_customer_sk),\n segments AS\n (SELECT cast(round(revenue/50) AS int) AS SEGMENT\n FROM my_revenue)\nSELECT SEGMENT,\n count(*) AS num_customers,\n SEGMENT*50 AS segment_base\nFROM segments\nGROUP BY SEGMENT\nORDER BY SEGMENT NULLS FIRST,\n num_customers NULLS FIRST,\n segment_base\nLIMIT 100;\n\n"} |
| {"id": 54, "query": "SELECT i_brand_id brand_id,\n i_brand brand,\n sum(ss_ext_sales_price) ext_price\nFROM date_dim,\n store_sales,\n item\nWHERE d_date_sk = ss_sold_date_sk\n AND ss_item_sk = i_item_sk\n AND i_manager_id=28\n AND d_moy=11\n AND d_year=1999\nGROUP BY i_brand,\n i_brand_id\nORDER BY ext_price DESC,\n i_brand_id\nLIMIT 100 ;\n\n"} |
| {"id": 55, "query": "WITH ss AS\n (SELECT i_item_id,\n sum(ss_ext_sales_price) total_sales\n FROM store_sales,\n date_dim,\n customer_address,\n item\n WHERE i_item_id IN\n (SELECT i_item_id\n FROM item\n WHERE i_color IN ('slate',\n 'blanched',\n 'burnished'))\n AND ss_item_sk = i_item_sk\n AND ss_sold_date_sk = d_date_sk\n AND d_year = 2001\n AND d_moy = 2\n AND ss_addr_sk = ca_address_sk\n AND ca_gmt_offset = -5\n GROUP BY i_item_id),\n cs AS\n (SELECT i_item_id,\n sum(cs_ext_sales_price) total_sales\n FROM catalog_sales,\n date_dim,\n customer_address,\n item\n WHERE i_item_id IN\n (SELECT i_item_id\n FROM item\n WHERE i_color IN ('slate',\n 'blanched',\n 'burnished'))\n AND cs_item_sk = i_item_sk\n AND cs_sold_date_sk = d_date_sk\n AND d_year = 2001\n AND d_moy = 2\n AND cs_bill_addr_sk = ca_address_sk\n AND ca_gmt_offset = -5\n GROUP BY i_item_id),\n ws AS\n (SELECT i_item_id,\n sum(ws_ext_sales_price) total_sales\n FROM web_sales,\n date_dim,\n customer_address,\n item\n WHERE i_item_id IN\n (SELECT i_item_id\n FROM item\n WHERE i_color IN ('slate',\n 'blanched',\n 'burnished'))\n AND ws_item_sk = i_item_sk\n AND ws_sold_date_sk = d_date_sk\n AND d_year = 2001\n AND d_moy = 2\n AND ws_bill_addr_sk = ca_address_sk\n AND ca_gmt_offset = -5\n GROUP BY i_item_id)\nSELECT i_item_id,\n sum(total_sales) total_sales\nFROM\n (SELECT *\n FROM ss\n UNION ALL SELECT *\n FROM cs\n UNION ALL SELECT *\n FROM ws) tmp1\nGROUP BY i_item_id\nORDER BY total_sales NULLS FIRST,\n i_item_id NULLS FIRST\nLIMIT 100;\n\n"} |
| {"id": 56, "query": "WITH v1 AS\n (SELECT i_category,\n i_brand,\n cc_name,\n d_year,\n d_moy,\n sum(cs_sales_price) sum_sales,\n avg(sum(cs_sales_price)) OVER (PARTITION BY i_category,\n i_brand,\n cc_name,\n d_year) avg_monthly_sales,\n rank() OVER (PARTITION BY i_category,\n i_brand,\n cc_name\n ORDER BY d_year,\n d_moy) rn\n FROM item,\n catalog_sales,\n date_dim,\n call_center\n WHERE cs_item_sk = i_item_sk\n AND cs_sold_date_sk = d_date_sk\n AND cc_call_center_sk= cs_call_center_sk\n AND (d_year = 1999\n OR (d_year = 1999-1\n AND d_moy =12)\n OR (d_year = 1999+1\n AND d_moy =1))\n GROUP BY i_category,\n i_brand,\n cc_name,\n d_year,\n d_moy),\n v2 AS\n (SELECT v1.i_category,\n v1.i_brand,\n v1.cc_name,\n v1.d_year,\n v1.d_moy,\n v1.avg_monthly_sales,\n v1.sum_sales,\n v1_lag.sum_sales psum,\n v1_lead.sum_sales nsum\n FROM v1,\n v1 v1_lag,\n v1 v1_lead\n WHERE v1.i_category = v1_lag.i_category\n AND v1.i_category = v1_lead.i_category\n AND v1.i_brand = v1_lag.i_brand\n AND v1.i_brand = v1_lead.i_brand\n AND v1. cc_name = v1_lag. cc_name\n AND v1. cc_name = v1_lead. cc_name\n AND v1.rn = v1_lag.rn + 1\n AND v1.rn = v1_lead.rn - 1)\nSELECT *\nFROM v2\nWHERE d_year = 1999\n AND avg_monthly_sales > 0\n AND CASE\n WHEN avg_monthly_sales > 0 THEN abs(sum_sales - avg_monthly_sales) / avg_monthly_sales\n ELSE NULL\n END > 0.1\nORDER BY sum_sales - avg_monthly_sales NULLS FIRST, 1, 2, 3, 4, 5, 6, 7, 8, 9\nLIMIT 100;\n\n"} |
| {"id": 57, "query": "WITH ss_items AS\n (SELECT i_item_id item_id,\n sum(ss_ext_sales_price) ss_item_rev\n FROM store_sales,\n item,\n date_dim\n WHERE ss_item_sk = i_item_sk\n AND d_date IN\n (SELECT d_date\n FROM date_dim\n WHERE d_week_seq =\n (SELECT d_week_seq\n FROM date_dim\n WHERE d_date = '2000-01-03'))\n AND ss_sold_date_sk = d_date_sk\n GROUP BY i_item_id),\n cs_items AS\n (SELECT i_item_id item_id,\n sum(cs_ext_sales_price) cs_item_rev\n FROM catalog_sales,\n item,\n date_dim\n WHERE cs_item_sk = i_item_sk\n AND d_date IN\n (SELECT d_date\n FROM date_dim\n WHERE d_week_seq =\n (SELECT d_week_seq\n FROM date_dim\n WHERE d_date = '2000-01-03'))\n AND cs_sold_date_sk = d_date_sk\n GROUP BY i_item_id),\n ws_items AS\n (SELECT i_item_id item_id,\n sum(ws_ext_sales_price) ws_item_rev\n FROM web_sales,\n item,\n date_dim\n WHERE ws_item_sk = i_item_sk\n AND d_date IN\n (SELECT d_date\n FROM date_dim\n WHERE d_week_seq =\n (SELECT d_week_seq\n FROM date_dim\n WHERE d_date = '2000-01-03'))\n AND ws_sold_date_sk = d_date_sk\n GROUP BY i_item_id)\nSELECT ss_items.item_id,\n ss_item_rev,\n ss_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 ss_dev,\n cs_item_rev,\n cs_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 cs_dev,\n ws_item_rev,\n ws_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 ws_dev,\n (ss_item_rev+cs_item_rev+ws_item_rev)/3 average\nFROM ss_items,\n cs_items,\n ws_items\nWHERE ss_items.item_id=cs_items.item_id\n AND ss_items.item_id=ws_items.item_id\n AND ss_item_rev BETWEEN 0.9 * cs_item_rev AND 1.1 * cs_item_rev\n AND ss_item_rev BETWEEN 0.9 * ws_item_rev AND 1.1 * ws_item_rev\n AND cs_item_rev BETWEEN 0.9 * ss_item_rev AND 1.1 * ss_item_rev\n AND cs_item_rev BETWEEN 0.9 * ws_item_rev AND 1.1 * ws_item_rev\n AND ws_item_rev BETWEEN 0.9 * ss_item_rev AND 1.1 * ss_item_rev\n AND ws_item_rev BETWEEN 0.9 * cs_item_rev AND 1.1 * cs_item_rev\nORDER BY ss_items.item_id NULLS FIRST,\n ss_item_rev NULLS FIRST\nLIMIT 100;\n\n"} |
| {"id": 58, "query": "WITH wss AS\n (SELECT d_week_seq,\n ss_store_sk,\n sum(CASE\n WHEN (d_day_name='Sunday') THEN ss_sales_price\n ELSE NULL\n END) sun_sales,\n sum(CASE\n WHEN (d_day_name='Monday') THEN ss_sales_price\n ELSE NULL\n END) mon_sales,\n sum(CASE\n WHEN (d_day_name='Tuesday') THEN ss_sales_price\n ELSE NULL\n END) tue_sales,\n sum(CASE\n WHEN (d_day_name='Wednesday') THEN ss_sales_price\n ELSE NULL\n END) wed_sales,\n sum(CASE\n WHEN (d_day_name='Thursday') THEN ss_sales_price\n ELSE NULL\n END) thu_sales,\n sum(CASE\n WHEN (d_day_name='Friday') THEN ss_sales_price\n ELSE NULL\n END) fri_sales,\n sum(CASE\n WHEN (d_day_name='Saturday') THEN ss_sales_price\n ELSE NULL\n END) sat_sales\n FROM store_sales,\n date_dim\n WHERE d_date_sk = ss_sold_date_sk\n GROUP BY d_week_seq,\n ss_store_sk)\nSELECT s_store_name1,\n s_store_id1,\n d_week_seq1,\n sun_sales1/sun_sales2 AS sun_sales_ratio,\n mon_sales1/mon_sales2 AS mon_sales_ratio,\n tue_sales1/tue_sales2 AS tue_sales_ratio,\n wed_sales1/wed_sales2 AS wed_sales_ratio,\n thu_sales1/thu_sales2 AS thu_sales_ratio,\n fri_sales1/fri_sales2 AS fri_sales_ratio,\n sat_sales1/sat_sales2 AS sat_sales_ratio\nFROM\n (SELECT s_store_name s_store_name1,\n wss.d_week_seq d_week_seq1,\n s_store_id s_store_id1,\n sun_sales sun_sales1,\n mon_sales mon_sales1,\n tue_sales tue_sales1,\n wed_sales wed_sales1,\n thu_sales thu_sales1,\n fri_sales fri_sales1,\n sat_sales sat_sales1\n FROM wss,\n store,\n date_dim d\n WHERE d.d_week_seq = wss.d_week_seq\n AND ss_store_sk = s_store_sk\n AND d_month_seq BETWEEN 1212 AND 1212 + 11) y,\n (SELECT s_store_name s_store_name2,\n wss.d_week_seq d_week_seq2,\n s_store_id s_store_id2,\n sun_sales sun_sales2,\n mon_sales mon_sales2,\n tue_sales tue_sales2,\n wed_sales wed_sales2,\n thu_sales thu_sales2,\n fri_sales fri_sales2,\n sat_sales sat_sales2\n FROM wss,\n store,\n date_dim d\n WHERE d.d_week_seq = wss.d_week_seq\n AND ss_store_sk = s_store_sk\n AND d_month_seq BETWEEN 1212 + 12 AND 1212 + 23) x\nWHERE s_store_id1=s_store_id2\n AND d_week_seq1=d_week_seq2-52\nORDER BY s_store_name1 NULLS FIRST,\n s_store_id1 NULLS FIRST,\n d_week_seq1 NULLS FIRST\nLIMIT 100;\n\n"} |
| {"id": 59, "query": "WITH ss AS\n (SELECT i_item_id,\n sum(ss_ext_sales_price) total_sales\n FROM store_sales,\n date_dim,\n customer_address,\n item\n WHERE i_item_id IN\n (SELECT i_item_id\n FROM item\n WHERE i_category ='Music')\n AND ss_item_sk = i_item_sk\n AND ss_sold_date_sk = d_date_sk\n AND d_year = 1998\n AND d_moy = 9\n AND ss_addr_sk = ca_address_sk\n AND ca_gmt_offset = -5\n GROUP BY i_item_id),\n cs AS\n (SELECT i_item_id,\n sum(cs_ext_sales_price) total_sales\n FROM catalog_sales,\n date_dim,\n customer_address,\n item\n WHERE i_item_id IN\n (SELECT i_item_id\n FROM item\n WHERE i_category ='Music')\n AND cs_item_sk = i_item_sk\n AND cs_sold_date_sk = d_date_sk\n AND d_year = 1998\n AND d_moy = 9\n AND cs_bill_addr_sk = ca_address_sk\n AND ca_gmt_offset = -5\n GROUP BY i_item_id),\n ws AS\n (SELECT i_item_id,\n sum(ws_ext_sales_price) total_sales\n FROM web_sales,\n date_dim,\n customer_address,\n item\n WHERE i_item_id IN\n (SELECT i_item_id\n FROM item\n WHERE i_category = 'Music')\n AND ws_item_sk = i_item_sk\n AND ws_sold_date_sk = d_date_sk\n AND d_year = 1998\n AND d_moy = 9\n AND ws_bill_addr_sk = ca_address_sk\n AND ca_gmt_offset = -5\n GROUP BY i_item_id)\nSELECT i_item_id,\n sum(total_sales) total_sales\nFROM\n (SELECT *\n FROM ss\n UNION ALL SELECT *\n FROM cs\n UNION ALL SELECT *\n FROM ws) tmp1\nGROUP BY i_item_id\nORDER BY i_item_id,\n total_sales\nLIMIT 100;\n\n"} |
| {"id": 60, "query": "SELECT promotions,\n total,\n cast(promotions AS decimal(15,4))/cast(total AS decimal(15,4))*100\nFROM\n (SELECT sum(ss_ext_sales_price) promotions\n FROM store_sales,\n store,\n promotion,\n date_dim,\n customer,\n customer_address,\n item\n WHERE ss_sold_date_sk = d_date_sk\n AND ss_store_sk = s_store_sk\n AND ss_promo_sk = p_promo_sk\n AND ss_customer_sk= c_customer_sk\n AND ca_address_sk = c_current_addr_sk\n AND ss_item_sk = i_item_sk\n AND ca_gmt_offset = -5\n AND i_category = 'Jewelry'\n AND (p_channel_dmail = 'Y'\n OR p_channel_email = 'Y'\n OR p_channel_tv = 'Y')\n AND s_gmt_offset = -5\n AND d_year = 1998\n AND d_moy = 11) promotional_sales,\n (SELECT sum(ss_ext_sales_price) total\n FROM store_sales,\n store,\n date_dim,\n customer,\n customer_address,\n item\n WHERE ss_sold_date_sk = d_date_sk\n AND ss_store_sk = s_store_sk\n AND ss_customer_sk= c_customer_sk\n AND ca_address_sk = c_current_addr_sk\n AND ss_item_sk = i_item_sk\n AND ca_gmt_offset = -5\n AND i_category = 'Jewelry'\n AND s_gmt_offset = -5\n AND d_year = 1998\n AND d_moy = 11) all_sales\nORDER BY promotions,\n total\nLIMIT 100;\n\n"} |
| {"id": 61, "query": "SELECT w_substr,\n sm_type,\n web_name,\n sum(CASE\n WHEN (ws_ship_date_sk - ws_sold_date_sk <= 30) THEN 1\n ELSE 0\n END) AS \"30 days\",\n sum(CASE\n WHEN (ws_ship_date_sk - ws_sold_date_sk > 30)\n AND (ws_ship_date_sk - ws_sold_date_sk <= 60) THEN 1\n ELSE 0\n END) AS \"31-60 days\",\n sum(CASE\n WHEN (ws_ship_date_sk - ws_sold_date_sk > 60)\n AND (ws_ship_date_sk - ws_sold_date_sk <= 90) THEN 1\n ELSE 0\n END) AS \"61-90 days\",\n sum(CASE\n WHEN (ws_ship_date_sk - ws_sold_date_sk > 90)\n AND (ws_ship_date_sk - ws_sold_date_sk <= 120) THEN 1\n ELSE 0\n END) AS \"91-120 days\",\n sum(CASE\n WHEN (ws_ship_date_sk - ws_sold_date_sk > 120) THEN 1\n ELSE 0\n END) AS \">120 days\"\nFROM web_sales,\n (SELECT SUBSTRING(w_warehouse_name,1,20) w_substr,\n *\n FROM warehouse) sq1,\n ship_mode,\n web_site,\n date_dim\nWHERE d_month_seq BETWEEN 1200 AND 1200 + 11\n AND ws_ship_date_sk = d_date_sk\n AND ws_warehouse_sk = w_warehouse_sk\n AND ws_ship_mode_sk = sm_ship_mode_sk\n AND ws_web_site_sk = web_site_sk\nGROUP BY w_substr,\n sm_type,\n web_name\nORDER BY 1 NULLS FIRST,\n 2 NULLS FIRST,\n 3 NULLS FIRST\nLIMIT 100;\n\n"} |
| {"id": 62, "query": "\nSELECT *\nFROM\n (SELECT i_manager_id,\n sum(ss_sales_price) sum_sales,\n avg(sum(ss_sales_price)) OVER (PARTITION BY i_manager_id) avg_monthly_sales\n FROM item,\n store_sales,\n date_dim,\n store\n WHERE ss_item_sk = i_item_sk\n AND ss_sold_date_sk = d_date_sk\n AND ss_store_sk = s_store_sk\n AND d_month_seq IN (1200,\n 1200+1,\n 1200+2,\n 1200+3,\n 1200+4,\n 1200+5,\n 1200+6,\n 1200+7,\n 1200+8,\n 1200+9,\n 1200+10,\n 1200+11)\n AND ((i_category IN ('Books',\n 'Children',\n 'Electronics')\n AND i_class IN ('personal',\n 'portable',\n 'reference',\n 'self-help')\n AND i_brand IN ('scholaramalgamalg #14',\n 'scholaramalgamalg #7',\n 'exportiunivamalg #9',\n 'scholaramalgamalg #9')) or(i_category IN ('Women','Music','Men')\n AND i_class IN ('accessories','classical','fragrances','pants')\n AND i_brand IN ('amalgimporto #1','edu packscholar #1','exportiimporto #1', 'importoamalg #1')))\n GROUP BY i_manager_id,\n d_moy) tmp1\nWHERE CASE\n WHEN avg_monthly_sales > 0 THEN ABS (sum_sales - avg_monthly_sales) / avg_monthly_sales\n ELSE NULL\n END > 0.1\nORDER BY i_manager_id,\n avg_monthly_sales,\n sum_sales\nLIMIT 100;\n\n"} |
| {"id": 63, "query": "WITH cs_ui AS\n (SELECT cs_item_sk,\n sum(cs_ext_list_price) AS sale,\n sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit) AS refund\n FROM catalog_sales,\n catalog_returns\n WHERE cs_item_sk = cr_item_sk\n AND cs_order_number = cr_order_number\n GROUP BY cs_item_sk\n HAVING sum(cs_ext_list_price)>2*sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit)),\n cross_sales AS\n (SELECT i_product_name product_name,\n i_item_sk item_sk,\n s_store_name store_name,\n s_zip store_zip,\n ad1.ca_street_number b_street_number,\n ad1.ca_street_name b_street_name,\n ad1.ca_city b_city,\n ad1.ca_zip b_zip,\n ad2.ca_street_number c_street_number,\n ad2.ca_street_name c_street_name,\n ad2.ca_city c_city,\n ad2.ca_zip c_zip,\n d1.d_year AS syear,\n d2.d_year AS fsyear,\n d3.d_year s2year,\n count(*) cnt,\n sum(ss_wholesale_cost) s1,\n sum(ss_list_price) s2,\n sum(ss_coupon_amt) s3\n FROM store_sales,\n store_returns,\n cs_ui,\n date_dim d1,\n date_dim d2,\n date_dim d3,\n store,\n customer,\n customer_demographics cd1,\n customer_demographics cd2,\n promotion,\n household_demographics hd1,\n household_demographics hd2,\n customer_address ad1,\n customer_address ad2,\n income_band ib1,\n income_band ib2,\n item\n WHERE ss_store_sk = s_store_sk\n AND ss_sold_date_sk = d1.d_date_sk\n AND ss_customer_sk = c_customer_sk\n AND ss_cdemo_sk= cd1.cd_demo_sk\n AND ss_hdemo_sk = hd1.hd_demo_sk\n AND ss_addr_sk = ad1.ca_address_sk\n AND ss_item_sk = i_item_sk\n AND ss_item_sk = sr_item_sk\n AND ss_ticket_number = sr_ticket_number\n AND ss_item_sk = cs_ui.cs_item_sk\n AND c_current_cdemo_sk = cd2.cd_demo_sk\n AND c_current_hdemo_sk = hd2.hd_demo_sk\n AND c_current_addr_sk = ad2.ca_address_sk\n AND c_first_sales_date_sk = d2.d_date_sk\n AND c_first_shipto_date_sk = d3.d_date_sk\n AND ss_promo_sk = p_promo_sk\n AND hd1.hd_income_band_sk = ib1.ib_income_band_sk\n AND hd2.hd_income_band_sk = ib2.ib_income_band_sk\n AND cd1.cd_marital_status <> cd2.cd_marital_status\n AND i_color IN ('purple',\n 'burlywood',\n 'indian',\n 'spring',\n 'floral',\n 'medium')\n AND i_current_price BETWEEN 64 AND 64 + 10\n AND i_current_price BETWEEN 64 + 1 AND 64 + 15\n GROUP BY i_product_name,\n i_item_sk,\n s_store_name,\n s_zip,\n ad1.ca_street_number,\n ad1.ca_street_name,\n ad1.ca_city,\n ad1.ca_zip,\n ad2.ca_street_number,\n ad2.ca_street_name,\n ad2.ca_city,\n ad2.ca_zip,\n d1.d_year,\n d2.d_year,\n d3.d_year)\nSELECT cs1.product_name,\n cs1.store_name,\n cs1.store_zip,\n cs1.b_street_number,\n cs1.b_street_name,\n cs1.b_city,\n cs1.b_zip,\n cs1.c_street_number,\n cs1.c_street_name,\n cs1.c_city,\n cs1.c_zip,\n cs1.syear cs1syear,\n cs1.cnt cs1cnt,\n cs1.s1 AS s11,\n cs1.s2 AS s21,\n cs1.s3 AS s31,\n cs2.s1 AS s12,\n cs2.s2 AS s22,\n cs2.s3 AS s32,\n cs2.syear,\n cs2.cnt\nFROM cross_sales cs1,\n cross_sales cs2\nWHERE cs1.item_sk=cs2.item_sk\n AND cs1.syear = 1999\n AND cs2.syear = 1999 + 1\n AND cs2.cnt <= cs1.cnt\n AND cs1.store_name = cs2.store_name\n AND cs1.store_zip = cs2.store_zip\nORDER BY cs1.product_name,\n cs1.store_name,\n cs2.cnt,\n cs1.s1,\n cs2.s1;\n\n"} |
| {"id": 64, "query": "SELECT s_store_name,\n i_item_desc,\n sc.revenue,\n i_current_price,\n i_wholesale_cost,\n i_brand\nFROM store,\n item,\n (SELECT ss_store_sk,\n avg(revenue) AS ave\n FROM\n (SELECT ss_store_sk,\n ss_item_sk,\n sum(ss_sales_price) AS revenue\n FROM store_sales,\n date_dim\n WHERE ss_sold_date_sk = d_date_sk\n AND d_month_seq BETWEEN 1176 AND 1176+11\n GROUP BY ss_store_sk,\n ss_item_sk) sa\n GROUP BY ss_store_sk) sb,\n (SELECT ss_store_sk,\n ss_item_sk,\n sum(ss_sales_price) AS revenue\n FROM store_sales,\n date_dim\n WHERE ss_sold_date_sk = d_date_sk\n AND d_month_seq BETWEEN 1176 AND 1176+11\n GROUP BY ss_store_sk,\n ss_item_sk) sc\nWHERE sb.ss_store_sk = sc.ss_store_sk\n AND sc.revenue <= 0.1 * sb.ave\n AND s_store_sk = sc.ss_store_sk\n AND i_item_sk = sc.ss_item_sk\nORDER BY s_store_name NULLS FIRST,\n i_item_desc NULLS FIRST\nLIMIT 100;\n\n"} |
| {"id": 65, "query": "select\n w_warehouse_name\n ,w_warehouse_sq_ft\n ,w_city\n ,w_county\n ,w_state\n ,w_country\n ,ship_carriers\n ,year_\n ,sum(jan_sales) as jan_sales\n ,sum(feb_sales) as feb_sales\n ,sum(mar_sales) as mar_sales\n ,sum(apr_sales) as apr_sales\n ,sum(may_sales) as may_sales\n ,sum(jun_sales) as jun_sales\n ,sum(jul_sales) as jul_sales\n ,sum(aug_sales) as aug_sales\n ,sum(sep_sales) as sep_sales\n ,sum(oct_sales) as oct_sales\n ,sum(nov_sales) as nov_sales\n ,sum(dec_sales) as dec_sales\n ,sum(jan_sales/w_warehouse_sq_ft) as jan_sales_per_sq_foot\n ,sum(feb_sales/w_warehouse_sq_ft) as feb_sales_per_sq_foot\n ,sum(mar_sales/w_warehouse_sq_ft) as mar_sales_per_sq_foot\n ,sum(apr_sales/w_warehouse_sq_ft) as apr_sales_per_sq_foot\n ,sum(may_sales/w_warehouse_sq_ft) as may_sales_per_sq_foot\n ,sum(jun_sales/w_warehouse_sq_ft) as jun_sales_per_sq_foot\n ,sum(jul_sales/w_warehouse_sq_ft) as jul_sales_per_sq_foot\n ,sum(aug_sales/w_warehouse_sq_ft) as aug_sales_per_sq_foot\n ,sum(sep_sales/w_warehouse_sq_ft) as sep_sales_per_sq_foot\n ,sum(oct_sales/w_warehouse_sq_ft) as oct_sales_per_sq_foot\n ,sum(nov_sales/w_warehouse_sq_ft) as nov_sales_per_sq_foot\n ,sum(dec_sales/w_warehouse_sq_ft) as dec_sales_per_sq_foot\n ,sum(jan_net) as jan_net\n ,sum(feb_net) as feb_net\n ,sum(mar_net) as mar_net\n ,sum(apr_net) as apr_net\n ,sum(may_net) as may_net\n ,sum(jun_net) as jun_net\n ,sum(jul_net) as jul_net\n ,sum(aug_net) as aug_net\n ,sum(sep_net) as sep_net\n ,sum(oct_net) as oct_net\n ,sum(nov_net) as nov_net\n ,sum(dec_net) as dec_net\n from (\n select\n w_warehouse_name\n ,w_warehouse_sq_ft\n ,w_city\n ,w_county\n ,w_state\n ,w_country\n ,'DHL,BARIAN' as ship_carriers\n ,d_year as year_\n ,sum(case when d_moy = 1\n then ws_ext_sales_price* ws_quantity else 0 end) as jan_sales\n ,sum(case when d_moy = 2\n then ws_ext_sales_price* ws_quantity else 0 end) as feb_sales\n ,sum(case when d_moy = 3\n then ws_ext_sales_price* ws_quantity else 0 end) as mar_sales\n ,sum(case when d_moy = 4\n then ws_ext_sales_price* ws_quantity else 0 end) as apr_sales\n ,sum(case when d_moy = 5\n then ws_ext_sales_price* ws_quantity else 0 end) as may_sales\n ,sum(case when d_moy = 6\n then ws_ext_sales_price* ws_quantity else 0 end) as jun_sales\n ,sum(case when d_moy = 7\n then ws_ext_sales_price* ws_quantity else 0 end) as jul_sales\n ,sum(case when d_moy = 8\n then ws_ext_sales_price* ws_quantity else 0 end) as aug_sales\n ,sum(case when d_moy = 9\n then ws_ext_sales_price* ws_quantity else 0 end) as sep_sales\n ,sum(case when d_moy = 10\n then ws_ext_sales_price* ws_quantity else 0 end) as oct_sales\n ,sum(case when d_moy = 11\n then ws_ext_sales_price* ws_quantity else 0 end) as nov_sales\n ,sum(case when d_moy = 12\n then ws_ext_sales_price* ws_quantity else 0 end) as dec_sales\n ,sum(case when d_moy = 1\n then ws_net_paid * ws_quantity else 0 end) as jan_net\n ,sum(case when d_moy = 2\n then ws_net_paid * ws_quantity else 0 end) as feb_net\n ,sum(case when d_moy = 3\n then ws_net_paid * ws_quantity else 0 end) as mar_net\n ,sum(case when d_moy = 4\n then ws_net_paid * ws_quantity else 0 end) as apr_net\n ,sum(case when d_moy = 5\n then ws_net_paid * ws_quantity else 0 end) as may_net\n ,sum(case when d_moy = 6\n then ws_net_paid * ws_quantity else 0 end) as jun_net\n ,sum(case when d_moy = 7\n then ws_net_paid * ws_quantity else 0 end) as jul_net\n ,sum(case when d_moy = 8\n then ws_net_paid * ws_quantity else 0 end) as aug_net\n ,sum(case when d_moy = 9\n then ws_net_paid * ws_quantity else 0 end) as sep_net\n ,sum(case when d_moy = 10\n then ws_net_paid * ws_quantity else 0 end) as oct_net\n ,sum(case when d_moy = 11\n then ws_net_paid * ws_quantity else 0 end) as nov_net\n ,sum(case when d_moy = 12\n then ws_net_paid * ws_quantity else 0 end) as dec_net\n from\n web_sales\n ,warehouse\n ,date_dim\n ,time_dim\n ,ship_mode\n where\n ws_warehouse_sk = w_warehouse_sk\n and ws_sold_date_sk = d_date_sk\n and ws_sold_time_sk = t_time_sk\n and ws_ship_mode_sk = sm_ship_mode_sk\n and d_year = 2001\n and t_time between 30838 and 30838+28800\n and sm_carrier in ('DHL','BARIAN')\n group by\n w_warehouse_name\n ,w_warehouse_sq_ft\n ,w_city\n ,w_county\n ,w_state\n ,w_country\n ,d_year\n union all\n select\n w_warehouse_name\n ,w_warehouse_sq_ft\n ,w_city\n ,w_county\n ,w_state\n ,w_country\n ,'DHL,BARIAN' as ship_carriers\n ,d_year as year_\n ,sum(case when d_moy = 1\n then cs_sales_price* cs_quantity else 0 end) as jan_sales\n ,sum(case when d_moy = 2\n then cs_sales_price* cs_quantity else 0 end) as feb_sales\n ,sum(case when d_moy = 3\n then cs_sales_price* cs_quantity else 0 end) as mar_sales\n ,sum(case when d_moy = 4\n then cs_sales_price* cs_quantity else 0 end) as apr_sales\n ,sum(case when d_moy = 5\n then cs_sales_price* cs_quantity else 0 end) as may_sales\n ,sum(case when d_moy = 6\n then cs_sales_price* cs_quantity else 0 end) as jun_sales\n ,sum(case when d_moy = 7\n then cs_sales_price* cs_quantity else 0 end) as jul_sales\n ,sum(case when d_moy = 8\n then cs_sales_price* cs_quantity else 0 end) as aug_sales\n ,sum(case when d_moy = 9\n then cs_sales_price* cs_quantity else 0 end) as sep_sales\n ,sum(case when d_moy = 10\n then cs_sales_price* cs_quantity else 0 end) as oct_sales\n ,sum(case when d_moy = 11\n then cs_sales_price* cs_quantity else 0 end) as nov_sales\n ,sum(case when d_moy = 12\n then cs_sales_price* cs_quantity else 0 end) as dec_sales\n ,sum(case when d_moy = 1\n then cs_net_paid_inc_tax * cs_quantity else 0 end) as jan_net\n ,sum(case when d_moy = 2\n then cs_net_paid_inc_tax * cs_quantity else 0 end) as feb_net\n ,sum(case when d_moy = 3\n then cs_net_paid_inc_tax * cs_quantity else 0 end) as mar_net\n ,sum(case when d_moy = 4\n then cs_net_paid_inc_tax * cs_quantity else 0 end) as apr_net\n ,sum(case when d_moy = 5\n then cs_net_paid_inc_tax * cs_quantity else 0 end) as may_net\n ,sum(case when d_moy = 6\n then cs_net_paid_inc_tax * cs_quantity else 0 end) as jun_net\n ,sum(case when d_moy = 7\n then cs_net_paid_inc_tax * cs_quantity else 0 end) as jul_net\n ,sum(case when d_moy = 8\n then cs_net_paid_inc_tax * cs_quantity else 0 end) as aug_net\n ,sum(case when d_moy = 9\n then cs_net_paid_inc_tax * cs_quantity else 0 end) as sep_net\n ,sum(case when d_moy = 10\n then cs_net_paid_inc_tax * cs_quantity else 0 end) as oct_net\n ,sum(case when d_moy = 11\n then cs_net_paid_inc_tax * cs_quantity else 0 end) as nov_net\n ,sum(case when d_moy = 12\n then cs_net_paid_inc_tax * cs_quantity else 0 end) as dec_net\n from\n catalog_sales\n ,warehouse\n ,date_dim\n ,time_dim\n ,ship_mode\n where\n cs_warehouse_sk = w_warehouse_sk\n and cs_sold_date_sk = d_date_sk\n and cs_sold_time_sk = t_time_sk\n and cs_ship_mode_sk = sm_ship_mode_sk\n and d_year = 2001\n and t_time between 30838 AND 30838+28800\n and sm_carrier in ('DHL','BARIAN')\n group by\n w_warehouse_name\n ,w_warehouse_sq_ft\n ,w_city\n ,w_county\n ,w_state\n ,w_country\n ,d_year\n ) x\n group by\n w_warehouse_name\n ,w_warehouse_sq_ft\n ,w_city\n ,w_county\n ,w_state\n ,w_country\n ,ship_carriers\n ,year_\n order by w_warehouse_name NULLS FIRST\nLIMIT 100;\n\n"} |
| {"id": 66, "query": "SELECT *\nFROM\n (SELECT i_category,\n i_class,\n i_brand,\n i_product_name,\n d_year,\n d_qoy,\n d_moy,\n s_store_id,\n sumsales,\n rank() OVER (PARTITION BY i_category\n ORDER BY sumsales DESC) rk\n FROM\n (SELECT i_category,\n i_class,\n i_brand,\n i_product_name,\n d_year,\n d_qoy,\n d_moy,\n s_store_id,\n sum(coalesce(ss_sales_price*ss_quantity,0)) sumsales\n FROM store_sales,\n date_dim,\n store,\n item\n WHERE ss_sold_date_sk=d_date_sk\n AND ss_item_sk=i_item_sk\n AND ss_store_sk = s_store_sk\n AND d_month_seq BETWEEN 1200 AND 1200+11\n GROUP BY rollup(i_category, i_class, i_brand, i_product_name, d_year, d_qoy, d_moy,s_store_id))dw1) dw2\nWHERE rk <= 100\nORDER BY i_category NULLS FIRST,\n i_class NULLS FIRST,\n i_brand NULLS FIRST,\n i_product_name NULLS FIRST,\n d_year NULLS FIRST,\n d_qoy NULLS FIRST,\n d_moy NULLS FIRST,\n s_store_id NULLS FIRST,\n sumsales NULLS FIRST,\n rk NULLS FIRST\nLIMIT 100;\n"} |
| {"id": 67, "query": "SELECT c_last_name,\n c_first_name,\n ca_city,\n bought_city,\n ss_ticket_number,\n extended_price,\n extended_tax,\n list_price\nFROM\n (SELECT ss_ticket_number,\n ss_customer_sk,\n ca_city bought_city,\n sum(ss_ext_sales_price) extended_price,\n sum(ss_ext_list_price) list_price,\n sum(ss_ext_tax) extended_tax\n FROM store_sales,\n date_dim,\n store,\n household_demographics,\n customer_address\n WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk\n AND store_sales.ss_store_sk = store.s_store_sk\n AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk\n AND store_sales.ss_addr_sk = customer_address.ca_address_sk\n AND date_dim.d_dom BETWEEN 1 AND 2\n AND (household_demographics.hd_dep_count = 4\n OR household_demographics.hd_vehicle_count= 3)\n AND date_dim.d_year IN (1999,\n 1999+1,\n 1999+2)\n AND store.s_city IN ('Fairview',\n 'Midway')\n GROUP BY ss_ticket_number,\n ss_customer_sk,\n ss_addr_sk,\n ca_city) dn,\n customer,\n customer_address current_addr\nWHERE ss_customer_sk = c_customer_sk\n AND customer.c_current_addr_sk = current_addr.ca_address_sk\n AND current_addr.ca_city <> bought_city\nORDER BY c_last_name NULLS FIRST,\n ss_ticket_number NULLS FIRST\nLIMIT 100;\n\n"} |
| {"id": 68, "query": "SELECT cd_gender,\n cd_marital_status,\n cd_education_status,\n count(*) cnt1,\n cd_purchase_estimate,\n count(*) cnt2,\n cd_credit_rating,\n count(*) cnt3\nFROM customer c,\n customer_address ca,\n customer_demographics\nWHERE c.c_current_addr_sk = ca.ca_address_sk\n AND ca_state IN ('KY',\n 'GA',\n 'NM')\n AND cd_demo_sk = c.c_current_cdemo_sk\n AND EXISTS\n (SELECT *\n FROM store_sales,\n date_dim\n WHERE c.c_customer_sk = ss_customer_sk\n AND ss_sold_date_sk = d_date_sk\n AND d_year = 2001\n AND d_moy BETWEEN 4 AND 4+2)\n AND (NOT EXISTS\n (SELECT *\n FROM web_sales,\n date_dim\n WHERE c.c_customer_sk = ws_bill_customer_sk\n AND ws_sold_date_sk = d_date_sk\n AND d_year = 2001\n AND d_moy BETWEEN 4 AND 4+2)\n AND NOT EXISTS\n (SELECT *\n FROM catalog_sales,\n date_dim\n WHERE c.c_customer_sk = cs_ship_customer_sk\n AND cs_sold_date_sk = d_date_sk\n AND d_year = 2001\n AND d_moy BETWEEN 4 AND 4+2))\nGROUP BY cd_gender,\n cd_marital_status,\n cd_education_status,\n cd_purchase_estimate,\n cd_credit_rating\nORDER BY cd_gender,\n cd_marital_status,\n cd_education_status,\n cd_purchase_estimate,\n cd_credit_rating\nLIMIT 100;\n\n"} |
| {"id": 69, "query": "SELECT sum(ss_net_profit) AS total_sum,\n s_state,\n s_county,\n grouping(s_state)+grouping(s_county) AS lochierarchy,\n rank() OVER (PARTITION BY grouping(s_state)+grouping(s_county),\n CASE\n WHEN grouping(s_county) = 0 THEN s_state\n END\n ORDER BY sum(ss_net_profit) DESC) AS rank_within_parent\nFROM store_sales,\n date_dim d1,\n store\nWHERE d1.d_month_seq BETWEEN 1200 AND 1200+11\n AND d1.d_date_sk = ss_sold_date_sk\n AND s_store_sk = ss_store_sk\n AND s_state IN\n (SELECT s_state\n FROM\n (SELECT s_state AS s_state,\n rank() OVER (PARTITION BY s_state\n ORDER BY sum(ss_net_profit) DESC) AS ranking\n FROM store_sales,\n store,\n date_dim\n WHERE d_month_seq BETWEEN 1200 AND 1200+11\n AND d_date_sk = ss_sold_date_sk\n AND s_store_sk = ss_store_sk\n GROUP BY s_state) tmp1\n WHERE ranking <= 5 )\nGROUP BY rollup(s_state,s_county)\nORDER BY lochierarchy DESC ,\n CASE\n WHEN grouping(s_state)+grouping(s_county) = 0 THEN s_state\n END ,\n rank_within_parent\nLIMIT 100;\n"} |
| {"id": 70, "query": "SELECT i_brand_id brand_id,\n i_brand brand,\n t_hour,\n t_minute,\n sum(ext_price) ext_price\nFROM item,\n (SELECT ws_ext_sales_price AS ext_price,\n ws_sold_date_sk AS sold_date_sk,\n ws_item_sk AS sold_item_sk,\n ws_sold_time_sk AS time_sk\n FROM web_sales,\n date_dim\n WHERE d_date_sk = ws_sold_date_sk\n AND d_moy=11\n AND d_year=1999\n UNION ALL SELECT cs_ext_sales_price AS ext_price,\n cs_sold_date_sk AS sold_date_sk,\n cs_item_sk AS sold_item_sk,\n cs_sold_time_sk AS time_sk\n FROM catalog_sales,\n date_dim\n WHERE d_date_sk = cs_sold_date_sk\n AND d_moy=11\n AND d_year=1999\n UNION ALL SELECT ss_ext_sales_price AS ext_price,\n ss_sold_date_sk AS sold_date_sk,\n ss_item_sk AS sold_item_sk,\n ss_sold_time_sk AS time_sk\n FROM store_sales,\n date_dim\n WHERE d_date_sk = ss_sold_date_sk\n AND d_moy=11\n AND d_year=1999 ) tmp,\n time_dim\nWHERE sold_item_sk = i_item_sk\n AND i_manager_id=1\n AND time_sk = t_time_sk\n AND (t_meal_time = 'breakfast'\n OR t_meal_time = 'dinner')\nGROUP BY i_brand,\n i_brand_id,\n t_hour,\n t_minute\nORDER BY ext_price DESC NULLS FIRST,\n i_brand_id NULLS FIRST,\n t_hour NULLS FIRST;\n\n"} |
| {"id": 71, "query": "SELECT i_item_desc,\n w_warehouse_name,\n d1.d_week_seq,\n sum(CASE\n WHEN p_promo_sk IS NULL THEN 1\n ELSE 0\n END) no_promo,\n sum(CASE\n WHEN p_promo_sk IS NOT NULL THEN 1\n ELSE 0\n END) promo,\n count(*) total_cnt\nFROM catalog_sales\nJOIN inventory ON (cs_item_sk = inv_item_sk)\nJOIN warehouse ON (w_warehouse_sk=inv_warehouse_sk)\nJOIN item ON (i_item_sk = cs_item_sk)\nJOIN customer_demographics ON (cs_bill_cdemo_sk = cd_demo_sk)\nJOIN household_demographics ON (cs_bill_hdemo_sk = hd_demo_sk)\nJOIN date_dim d1 ON (cs_sold_date_sk = d1.d_date_sk)\nJOIN date_dim d2 ON (inv_date_sk = d2.d_date_sk)\nJOIN date_dim d3 ON (cs_ship_date_sk = d3.d_date_sk)\nLEFT OUTER JOIN promotion ON (cs_promo_sk=p_promo_sk)\nLEFT OUTER JOIN catalog_returns ON (cr_item_sk = cs_item_sk\n AND cr_order_number = cs_order_number)\nWHERE d1.d_week_seq = d2.d_week_seq\n AND inv_quantity_on_hand < cs_quantity\n AND d3.d_date > d1.d_date + 5 -- SQL Server: DATEADD(day, 5, d1.d_date)\n AND hd_buy_potential = '>10000'\n AND d1.d_year = 1999\n AND cd_marital_status = 'D'\nGROUP BY i_item_desc,\n w_warehouse_name,\n d1.d_week_seq\nORDER BY total_cnt DESC NULLS FIRST,\n i_item_desc NULLS FIRST,\n w_warehouse_name NULLS FIRST,\n d1.d_week_seq NULLS FIRST\nLIMIT 100;\n\n"} |
| {"id": 72, "query": "\nSELECT c_last_name,\n c_first_name,\n c_salutation,\n c_preferred_cust_flag,\n ss_ticket_number,\n cnt\nFROM\n (SELECT ss_ticket_number,\n ss_customer_sk,\n count(*) cnt\n FROM store_sales,\n date_dim,\n store,\n household_demographics\n WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk\n AND store_sales.ss_store_sk = store.s_store_sk\n AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk\n AND date_dim.d_dom BETWEEN 1 AND 2\n AND (household_demographics.hd_buy_potential = 'Unknown'\n OR household_demographics.hd_buy_potential = '>10000')\n AND household_demographics.hd_vehicle_count > 0\n AND CASE\n WHEN household_demographics.hd_vehicle_count > 0 THEN (household_demographics.hd_dep_count*1.000)/ household_demographics.hd_vehicle_count\n ELSE NULL\n END > 1\n AND date_dim.d_year IN (1999,\n 1999+1,\n 1999+2)\n AND store.s_county IN ('Orange County',\n 'Bronx County',\n 'Franklin Parish',\n 'Williamson County')\n GROUP BY ss_ticket_number,\n ss_customer_sk) dj,\n customer\nWHERE ss_customer_sk = c_customer_sk\n AND cnt BETWEEN 1 AND 5\nORDER BY cnt DESC,\n c_last_name ASC;\n\n"} |
| {"id": 73, "query": "WITH year_total AS\n (SELECT c_customer_id customer_id,\n c_first_name customer_first_name,\n c_last_name customer_last_name,\n d_year AS year_,\n sum(ss_net_paid) year_total,\n 's' sale_type\n FROM customer,\n store_sales,\n date_dim\n WHERE c_customer_sk = ss_customer_sk\n AND ss_sold_date_sk = d_date_sk\n AND d_year IN (2001,\n 2001+1)\n GROUP BY c_customer_id,\n c_first_name,\n c_last_name,\n d_year\n UNION ALL SELECT c_customer_id customer_id,\n c_first_name customer_first_name,\n c_last_name customer_last_name,\n d_year AS year_,\n sum(ws_net_paid) year_total,\n 'w' sale_type\n FROM customer,\n web_sales,\n date_dim\n WHERE c_customer_sk = ws_bill_customer_sk\n AND ws_sold_date_sk = d_date_sk\n AND d_year IN (2001,\n 2001+1)\n GROUP BY c_customer_id,\n c_first_name,\n c_last_name,\n d_year)\nSELECT t_s_secyear.customer_id,\n t_s_secyear.customer_first_name,\n t_s_secyear.customer_last_name\nFROM year_total t_s_firstyear,\n year_total t_s_secyear,\n year_total t_w_firstyear,\n year_total t_w_secyear\nWHERE t_s_secyear.customer_id = t_s_firstyear.customer_id\n AND t_s_firstyear.customer_id = t_w_secyear.customer_id\n AND t_s_firstyear.customer_id = t_w_firstyear.customer_id\n AND t_s_firstyear.sale_type = 's'\n AND t_w_firstyear.sale_type = 'w'\n AND t_s_secyear.sale_type = 's'\n AND t_w_secyear.sale_type = 'w'\n AND t_s_firstyear.year_ = 2001\n AND t_s_secyear.year_ = 2001+1\n AND t_w_firstyear.year_ = 2001\n AND t_w_secyear.year_ = 2001+1\n AND t_s_firstyear.year_total > 0\n AND t_w_firstyear.year_total > 0\n AND CASE\n WHEN t_w_firstyear.year_total > 0 THEN t_w_secyear.year_total / t_w_firstyear.year_total\n ELSE NULL\n END > CASE\n WHEN t_s_firstyear.year_total > 0 THEN t_s_secyear.year_total / t_s_firstyear.year_total\n ELSE NULL\n END\nORDER BY 1 NULLS FIRST\nLIMIT 100;\n\n"} |
| {"id": 74, "query": "WITH all_sales AS\n ( SELECT d_year ,\n i_brand_id ,\n i_class_id ,\n i_category_id ,\n i_manufact_id ,\n SUM(sales_cnt) AS sales_cnt ,\n SUM(sales_amt) AS sales_amt\n FROM\n (SELECT d_year ,\n i_brand_id ,\n i_class_id ,\n i_category_id ,\n i_manufact_id ,\n cs_quantity - COALESCE(cr_return_quantity,0) AS sales_cnt ,\n cs_ext_sales_price - COALESCE(cr_return_amount,0.0) AS sales_amt\n FROM catalog_sales\n JOIN item ON i_item_sk=cs_item_sk\n JOIN date_dim ON d_date_sk=cs_sold_date_sk\n LEFT JOIN catalog_returns ON (cs_order_number=cr_order_number\n AND cs_item_sk=cr_item_sk)\n WHERE i_category='Books'\n UNION SELECT d_year ,\n i_brand_id ,\n i_class_id ,\n i_category_id ,\n i_manufact_id ,\n ss_quantity - COALESCE(sr_return_quantity,0) AS sales_cnt ,\n ss_ext_sales_price - COALESCE(sr_return_amt,0.0) AS sales_amt\n FROM store_sales\n JOIN item ON i_item_sk=ss_item_sk\n JOIN date_dim ON d_date_sk=ss_sold_date_sk\n LEFT JOIN store_returns ON (ss_ticket_number=sr_ticket_number\n AND ss_item_sk=sr_item_sk)\n WHERE i_category='Books'\n UNION SELECT d_year ,\n i_brand_id ,\n i_class_id ,\n i_category_id ,\n i_manufact_id ,\n ws_quantity - COALESCE(wr_return_quantity,0) AS sales_cnt ,\n ws_ext_sales_price - COALESCE(wr_return_amt,0.0) AS sales_amt\n FROM web_sales\n JOIN item ON i_item_sk=ws_item_sk\n JOIN date_dim ON d_date_sk=ws_sold_date_sk\n LEFT JOIN web_returns ON (ws_order_number=wr_order_number\n AND ws_item_sk=wr_item_sk)\n WHERE i_category='Books') sales_detail\n GROUP BY d_year,\n i_brand_id,\n i_class_id,\n i_category_id,\n i_manufact_id)\nSELECT prev_yr.d_year AS prev_year ,\n curr_yr.d_year AS year_ ,\n curr_yr.i_brand_id ,\n curr_yr.i_class_id ,\n curr_yr.i_category_id ,\n curr_yr.i_manufact_id ,\n prev_yr.sales_cnt AS prev_yr_cnt ,\n curr_yr.sales_cnt AS curr_yr_cnt ,\n curr_yr.sales_cnt-prev_yr.sales_cnt AS sales_cnt_diff ,\n curr_yr.sales_amt-prev_yr.sales_amt AS sales_amt_diff\nFROM all_sales curr_yr,\n all_sales prev_yr\nWHERE curr_yr.i_brand_id=prev_yr.i_brand_id\n AND curr_yr.i_class_id=prev_yr.i_class_id\n AND curr_yr.i_category_id=prev_yr.i_category_id\n AND curr_yr.i_manufact_id=prev_yr.i_manufact_id\n AND curr_yr.d_year=2002\n AND prev_yr.d_year=2002-1\n AND CAST(curr_yr.sales_cnt AS DECIMAL(17,2))/CAST(prev_yr.sales_cnt AS DECIMAL(17,2))<0.9\nORDER BY sales_cnt_diff,\n sales_amt_diff\nLIMIT 100;\n\n"} |
| {"id": 75, "query": "SELECT channel,\n col_name,\n d_year,\n d_qoy,\n i_category,\n COUNT(*) sales_cnt,\n SUM(ext_sales_price) sales_amt\nFROM\n ( SELECT 'store' AS channel,\n 'ss_store_sk' col_name,\n d_year,\n d_qoy,\n i_category,\n ss_ext_sales_price ext_sales_price\n FROM store_sales,\n item,\n date_dim\n WHERE ss_store_sk IS NULL\n AND ss_sold_date_sk=d_date_sk\n AND ss_item_sk=i_item_sk\n UNION ALL SELECT 'web' AS channel,\n 'ws_ship_customer_sk' col_name,\n d_year,\n d_qoy,\n i_category,\n ws_ext_sales_price ext_sales_price\n FROM web_sales,\n item,\n date_dim\n WHERE ws_ship_customer_sk IS NULL\n AND ws_sold_date_sk=d_date_sk\n AND ws_item_sk=i_item_sk\n UNION ALL SELECT 'catalog' AS channel,\n 'cs_ship_addr_sk' col_name,\n d_year,\n d_qoy,\n i_category,\n cs_ext_sales_price ext_sales_price\n FROM catalog_sales,\n item,\n date_dim\n WHERE cs_ship_addr_sk IS NULL\n AND cs_sold_date_sk=d_date_sk\n AND cs_item_sk=i_item_sk) foo\nGROUP BY channel,\n col_name,\n d_year,\n d_qoy,\n i_category\nORDER BY channel NULLS FIRST,\n col_name NULLS FIRST,\n d_year NULLS FIRST,\n d_qoy NULLS FIRST,\n i_category NULLS FIRST\nLIMIT 100;\n\n"} |
| {"id": 76, "query": "WITH ss AS\n (SELECT s_store_sk,\n sum(ss_ext_sales_price) AS sales,\n sum(ss_net_profit) AS profit\n FROM store_sales,\n date_dim,\n store\n WHERE ss_sold_date_sk = d_date_sk\n AND d_date BETWEEN cast('2000-08-23' AS date) AND cast('2000-09-22' AS date)\n AND ss_store_sk = s_store_sk\n GROUP BY s_store_sk) ,\n sr AS\n (SELECT s_store_sk,\n sum(sr_return_amt) AS returns_,\n sum(sr_net_loss) AS profit_loss\n FROM store_returns,\n date_dim,\n store\n WHERE sr_returned_date_sk = d_date_sk\n AND d_date BETWEEN cast('2000-08-23' AS date) AND cast('2000-09-22' AS date)\n AND sr_store_sk = s_store_sk\n GROUP BY s_store_sk),\n cs AS\n (SELECT cs_call_center_sk,\n sum(cs_ext_sales_price) AS sales,\n sum(cs_net_profit) AS profit\n FROM catalog_sales,\n date_dim\n WHERE cs_sold_date_sk = d_date_sk\n AND d_date BETWEEN cast('2000-08-23' AS date) AND cast('2000-09-22' AS date)\n GROUP BY cs_call_center_sk),\n cr AS\n (SELECT cr_call_center_sk,\n sum(cr_return_amount) AS returns_,\n sum(cr_net_loss) AS profit_loss\n FROM catalog_returns,\n date_dim\n WHERE cr_returned_date_sk = d_date_sk\n AND d_date BETWEEN cast('2000-08-23' AS date) AND cast('2000-09-22' AS date)\n GROUP BY cr_call_center_sk ),\n ws AS\n (SELECT wp_web_page_sk,\n sum(ws_ext_sales_price) AS sales,\n sum(ws_net_profit) AS profit\n FROM web_sales,\n date_dim,\n web_page\n WHERE ws_sold_date_sk = d_date_sk\n AND d_date BETWEEN cast('2000-08-23' AS date) AND cast('2000-09-22' AS date)\n AND ws_web_page_sk = wp_web_page_sk\n GROUP BY wp_web_page_sk),\n wr AS\n (SELECT wp_web_page_sk,\n sum(wr_return_amt) AS returns_,\n sum(wr_net_loss) AS profit_loss\n FROM web_returns,\n date_dim,\n web_page\n WHERE wr_returned_date_sk = d_date_sk\n AND d_date BETWEEN cast('2000-08-23' AS date) AND cast('2000-09-22' AS date)\n AND wr_web_page_sk = wp_web_page_sk\n GROUP BY wp_web_page_sk)\nSELECT channel ,\n id ,\n sum(sales) AS sales ,\n sum(returns_) AS returns_ ,\n sum(profit) AS profit\nFROM\n (SELECT 'store channel' AS channel ,\n ss.s_store_sk AS id ,\n sales ,\n coalesce(returns_, 0) AS returns_ ,\n (profit - coalesce(profit_loss,0)) AS profit\n FROM ss\n LEFT JOIN sr ON ss.s_store_sk = sr.s_store_sk\n UNION ALL SELECT 'catalog channel' AS channel ,\n cs_call_center_sk AS id ,\n sales ,\n returns_ ,\n (profit - profit_loss) AS profit\n FROM cs ,\n cr\n UNION ALL SELECT 'web channel' AS channel ,\n ws.wp_web_page_sk AS id ,\n sales ,\n coalesce(returns_, 0) returns_ ,\n (profit - coalesce(profit_loss,0)) AS profit\n FROM ws\n LEFT JOIN wr ON ws.wp_web_page_sk = wr.wp_web_page_sk ) x\nGROUP BY ROLLUP (channel,\n id)\nORDER BY channel NULLS FIRST,\n id NULLS FIRST,\n returns_ DESC\nLIMIT 100;\n"} |
| {"id": 77, "query": "WITH ws AS\n (SELECT d_year AS ws_sold_year,\n ws_item_sk,\n ws_bill_customer_sk ws_customer_sk,\n sum(ws_quantity) ws_qty,\n sum(ws_wholesale_cost) ws_wc,\n sum(ws_sales_price) ws_sp\n FROM web_sales\n LEFT JOIN web_returns ON wr_order_number=ws_order_number\n AND ws_item_sk=wr_item_sk\n JOIN date_dim ON ws_sold_date_sk = d_date_sk\n WHERE wr_order_number IS NULL\n GROUP BY d_year,\n ws_item_sk,\n ws_bill_customer_sk ),\n cs AS\n (SELECT d_year AS cs_sold_year,\n cs_item_sk,\n cs_bill_customer_sk cs_customer_sk,\n sum(cs_quantity) cs_qty,\n sum(cs_wholesale_cost) cs_wc,\n sum(cs_sales_price) cs_sp\n FROM catalog_sales\n LEFT JOIN catalog_returns ON cr_order_number=cs_order_number\n AND cs_item_sk=cr_item_sk\n JOIN date_dim ON cs_sold_date_sk = d_date_sk\n WHERE cr_order_number IS NULL\n GROUP BY d_year,\n cs_item_sk,\n cs_bill_customer_sk ),\n ss AS\n (SELECT d_year AS ss_sold_year,\n ss_item_sk,\n ss_customer_sk,\n sum(ss_quantity) ss_qty,\n sum(ss_wholesale_cost) ss_wc,\n sum(ss_sales_price) ss_sp\n FROM store_sales\n LEFT JOIN store_returns ON sr_ticket_number=ss_ticket_number\n AND ss_item_sk=sr_item_sk\n JOIN date_dim ON ss_sold_date_sk = d_date_sk\n WHERE sr_ticket_number IS NULL\n GROUP BY d_year,\n ss_item_sk,\n ss_customer_sk )\nSELECT ss_sold_year,\n ss_item_sk,\n ss_customer_sk,\n round((ss_qty*1.00)/(coalesce(ws_qty,0)+coalesce(cs_qty,0)),2) ratio,\n ss_qty store_qty,\n ss_wc store_wholesale_cost,\n ss_sp store_sales_price,\n coalesce(ws_qty,0)+coalesce(cs_qty,0) other_chan_qty,\n coalesce(ws_wc,0)+coalesce(cs_wc,0) other_chan_wholesale_cost,\n coalesce(ws_sp,0)+coalesce(cs_sp,0) other_chan_sales_price\nFROM ss\nLEFT JOIN ws ON (ws_sold_year=ss_sold_year\n AND ws_item_sk=ss_item_sk\n AND ws_customer_sk=ss_customer_sk)\nLEFT JOIN cs ON (cs_sold_year=ss_sold_year\n AND cs_item_sk=ss_item_sk\n AND cs_customer_sk=ss_customer_sk)\nWHERE (coalesce(ws_qty,0)>0\n OR coalesce(cs_qty, 0)>0)\n AND ss_sold_year=2000\nORDER BY ss_sold_year,\n ss_item_sk,\n ss_customer_sk,\n ss_qty DESC,\n ss_wc DESC,\n ss_sp DESC,\n other_chan_qty,\n other_chan_wholesale_cost,\n other_chan_sales_price,\n ratio\nLIMIT 100;\n\n"} |
| {"id": 78, "query": "SELECT c_last_name,\n c_first_name,\n SUBSTRING(s_city,1,30),\n ss_ticket_number,\n amt,\n profit\nFROM\n (SELECT ss_ticket_number ,\n ss_customer_sk ,\n store.s_city ,\n sum(ss_coupon_amt) amt ,\n sum(ss_net_profit) profit\n FROM store_sales,\n date_dim,\n store,\n household_demographics\n WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk\n AND store_sales.ss_store_sk = store.s_store_sk\n AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk\n AND (household_demographics.hd_dep_count = 6\n OR household_demographics.hd_vehicle_count > 2)\n AND date_dim.d_dow = 1\n AND date_dim.d_year IN (1999,\n 1999+1,\n 1999+2)\n AND store.s_number_employees BETWEEN 200 AND 295\n GROUP BY ss_ticket_number,\n ss_customer_sk,\n ss_addr_sk,\n store.s_city) ms,\n customer\nWHERE ss_customer_sk = c_customer_sk\nORDER BY c_last_name NULLS FIRST,\n c_first_name NULLS FIRST,\n SUBSTRING(s_city,1,30) NULLS FIRST,\n profit NULLS FIRST,\n ss_ticket_number\nLIMIT 100;\n"} |
| {"id": 79, "query": "WITH ssr AS\n (SELECT s_store_id AS store_id,\n sum(ss_ext_sales_price) AS sales,\n sum(coalesce(sr_return_amt, 0)) AS returns_,\n sum(ss_net_profit - coalesce(sr_net_loss, 0)) AS profit\n FROM store_sales\n LEFT OUTER JOIN store_returns ON (ss_item_sk = sr_item_sk\n AND ss_ticket_number = sr_ticket_number), date_dim,\n store,\n item,\n promotion\n WHERE ss_sold_date_sk = d_date_sk\n AND d_date BETWEEN cast('2000-08-23' AS date) AND cast('2000-09-22' AS date)\n AND ss_store_sk = s_store_sk\n AND ss_item_sk = i_item_sk\n AND i_current_price > 50\n AND ss_promo_sk = p_promo_sk\n AND p_channel_tv = 'N'\n GROUP BY s_store_id) ,\n csr AS\n (SELECT cp_catalog_page_id AS catalog_page_id,\n sum(cs_ext_sales_price) AS sales,\n sum(coalesce(cr_return_amount, 0)) AS returns_,\n sum(cs_net_profit - coalesce(cr_net_loss, 0)) AS profit\n FROM catalog_sales\n LEFT OUTER JOIN catalog_returns ON (cs_item_sk = cr_item_sk\n AND cs_order_number = cr_order_number), date_dim,\n catalog_page,\n item,\n promotion\n WHERE cs_sold_date_sk = d_date_sk\n AND d_date BETWEEN cast('2000-08-23' AS date) AND cast('2000-09-22' AS date)\n AND cs_catalog_page_sk = cp_catalog_page_sk\n AND cs_item_sk = i_item_sk\n AND i_current_price > 50\n AND cs_promo_sk = p_promo_sk\n AND p_channel_tv = 'N'\n GROUP BY cp_catalog_page_id) ,\n wsr AS\n (SELECT web_site_id,\n sum(ws_ext_sales_price) AS sales,\n sum(coalesce(wr_return_amt, 0)) AS returns_,\n sum(ws_net_profit - coalesce(wr_net_loss, 0)) AS profit\n FROM web_sales\n LEFT OUTER JOIN web_returns ON (ws_item_sk = wr_item_sk\n AND ws_order_number = wr_order_number), date_dim,\n web_site,\n item,\n promotion\n WHERE ws_sold_date_sk = d_date_sk\n AND d_date BETWEEN cast('2000-08-23' AS date) AND cast('2000-09-22' AS date)\n AND ws_web_site_sk = web_site_sk\n AND ws_item_sk = i_item_sk\n AND i_current_price > 50\n AND ws_promo_sk = p_promo_sk\n AND p_channel_tv = 'N'\n GROUP BY web_site_id)\nSELECT channel ,\n id ,\n sum(sales) AS sales ,\n sum(returns_) AS returns_ ,\n sum(profit) AS profit\nFROM\n (SELECT 'store channel' AS channel ,\n concat('store', store_id) AS id ,\n sales ,\n returns_ ,\n profit\n FROM ssr\n UNION ALL SELECT 'catalog channel' AS channel ,\n concat('catalog_page', catalog_page_id) AS id ,\n sales ,\n returns_ ,\n profit\n FROM csr\n UNION ALL SELECT 'web channel' AS channel ,\n concat('web_site', web_site_id) AS id ,\n sales ,\n returns_ ,\n profit\n FROM wsr ) x\nGROUP BY ROLLUP (channel,\n id)\nORDER BY channel NULLS FIRST,\n id NULLS FIRST\nLIMIT 100;\n"} |
| {"id": 80, "query": "WITH customer_total_return AS\n (SELECT cr_returning_customer_sk AS ctr_customer_sk ,\n ca_state AS ctr_state,\n sum(cr_return_amt_inc_tax) AS ctr_total_return\n FROM catalog_returns ,\n date_dim ,\n customer_address\n WHERE cr_returned_date_sk = d_date_sk\n AND d_year = 2000\n AND cr_returning_addr_sk = ca_address_sk\n GROUP BY cr_returning_customer_sk ,\n ca_state)\nSELECT c_customer_id,\n c_salutation,\n c_first_name,\n c_last_name,\n ca_street_number,\n ca_street_name ,\n ca_street_type,\n ca_suite_number,\n ca_city,\n ca_county,\n ca_state,\n ca_zip,\n ca_country,\n ca_gmt_offset ,\n ca_location_type,\n ctr_total_return\nFROM customer_total_return ctr1 ,\n customer_address ,\n customer\nWHERE ctr1.ctr_total_return >\n (SELECT avg(ctr_total_return)*1.2\n FROM customer_total_return ctr2\n WHERE ctr1.ctr_state = ctr2.ctr_state)\n AND ca_address_sk = c_current_addr_sk\n AND ca_state = 'GA'\n AND ctr1.ctr_customer_sk = c_customer_sk\nORDER BY c_customer_id,\n c_salutation,\n c_first_name,\n c_last_name,\n ca_street_number,\n ca_street_name ,\n ca_street_type,\n ca_suite_number,\n ca_city,\n ca_county,\n ca_state,\n ca_zip,\n ca_country,\n ca_gmt_offset ,\n ca_location_type,\n ctr_total_return\nLIMIT 100;\n\n"} |
| {"id": 81, "query": "\nSELECT i_item_id ,\n i_item_desc ,\n i_current_price\nFROM item,\n inventory,\n date_dim,\n store_sales\nWHERE i_current_price BETWEEN 62 AND 62+30\n AND inv_item_sk = i_item_sk\n AND d_date_sk=inv_date_sk\n AND d_date BETWEEN cast('2000-05-25' AS date) AND cast('2000-07-24' AS date)\n AND i_manufact_id IN (129,\n 270,\n 821,\n 423)\n AND inv_quantity_on_hand BETWEEN 100 AND 500\n AND ss_item_sk = i_item_sk\nGROUP BY i_item_id,\n i_item_desc,\n i_current_price\nORDER BY i_item_id\nLIMIT 100;\n\n"} |
| {"id": 82, "query": "WITH sr_items AS\n (SELECT i_item_id item_id,\n sum(sr_return_quantity) sr_item_qty\n FROM store_returns,\n item,\n date_dim\n WHERE sr_item_sk = i_item_sk\n AND d_date IN\n (SELECT d_date\n FROM date_dim\n WHERE d_week_seq IN\n (SELECT d_week_seq\n FROM date_dim\n WHERE d_date IN ('2000-06-30',\n '2000-09-27',\n '2000-11-17')))\n AND sr_returned_date_sk = d_date_sk\n GROUP BY i_item_id),\n cr_items AS\n (SELECT i_item_id item_id,\n sum(cr_return_quantity) cr_item_qty\n FROM catalog_returns,\n item,\n date_dim\n WHERE cr_item_sk = i_item_sk\n AND d_date IN\n (SELECT d_date\n FROM date_dim\n WHERE d_week_seq IN\n (SELECT d_week_seq\n FROM date_dim\n WHERE d_date IN ('2000-06-30',\n '2000-09-27',\n '2000-11-17')))\n AND cr_returned_date_sk = d_date_sk\n GROUP BY i_item_id),\n wr_items AS\n (SELECT i_item_id item_id,\n sum(wr_return_quantity) wr_item_qty\n FROM web_returns,\n item,\n date_dim\n WHERE wr_item_sk = i_item_sk\n AND d_date IN\n (SELECT d_date\n FROM date_dim\n WHERE d_week_seq IN\n (SELECT d_week_seq\n FROM date_dim\n WHERE d_date IN ('2000-06-30',\n '2000-09-27',\n '2000-11-17')))\n AND wr_returned_date_sk = d_date_sk\n GROUP BY i_item_id)\nSELECT sr_items.item_id ,\n sr_item_qty ,\n (sr_item_qty*1.0000)/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0000 * 100 sr_dev ,\n cr_item_qty ,\n (cr_item_qty*1.0000)/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0000 * 100 cr_dev ,\n wr_item_qty ,\n (wr_item_qty*1.0000)/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0000 * 100 wr_dev ,\n (sr_item_qty+cr_item_qty+wr_item_qty)/3.0 average\nFROM sr_items ,\n cr_items ,\n wr_items\nWHERE sr_items.item_id=cr_items.item_id\n AND sr_items.item_id=wr_items.item_id\nORDER BY sr_items.item_id NULLS FIRST,\n sr_item_qty NULLS FIRST\nLIMIT 100;\n\n"} |
| {"id": 83, "query": "SELECT c_customer_id AS customer_id ,\n concat(concat(coalesce(c_last_name, '') , ', '), coalesce(c_first_name, '')) AS customername\nFROM customer ,\n customer_address ,\n customer_demographics ,\n household_demographics ,\n income_band ,\n store_returns\nWHERE ca_city = 'Edgewood'\n AND c_current_addr_sk = ca_address_sk\n AND ib_lower_bound >= 38128\n AND ib_upper_bound <= 38128 + 50000\n AND ib_income_band_sk = hd_income_band_sk\n AND cd_demo_sk = c_current_cdemo_sk\n AND hd_demo_sk = c_current_hdemo_sk\n AND sr_cdemo_sk = cd_demo_sk\nORDER BY c_customer_id NULLS FIRST\nLIMIT 100;\n"} |
| {"id": 84, "query": "\nSELECT SUBSTRING(r_reason_desc,1,20) ,\n avg(ws_quantity) avg1,\n avg(wr_refunded_cash) avg2,\n avg(wr_fee)\nFROM web_sales,\n web_returns,\n web_page,\n customer_demographics cd1,\n customer_demographics cd2,\n customer_address,\n date_dim,\n reason\nWHERE ws_web_page_sk = wp_web_page_sk\n AND ws_item_sk = wr_item_sk\n AND ws_order_number = wr_order_number\n AND ws_sold_date_sk = d_date_sk\n AND d_year = 2000\n AND cd1.cd_demo_sk = wr_refunded_cdemo_sk\n AND cd2.cd_demo_sk = wr_returning_cdemo_sk\n AND ca_address_sk = wr_refunded_addr_sk\n AND r_reason_sk = wr_reason_sk\n AND ( ( cd1.cd_marital_status = 'M'\n AND cd1.cd_marital_status = cd2.cd_marital_status\n AND cd1.cd_education_status = 'Advanced Degree'\n AND cd1.cd_education_status = cd2.cd_education_status\n AND ws_sales_price BETWEEN 100.00 AND 150.00 )\n OR ( cd1.cd_marital_status = 'S'\n AND cd1.cd_marital_status = cd2.cd_marital_status\n AND cd1.cd_education_status = 'College'\n AND cd1.cd_education_status = cd2.cd_education_status\n AND ws_sales_price BETWEEN 50.00 AND 100.00 )\n OR ( cd1.cd_marital_status = 'W'\n AND cd1.cd_marital_status = cd2.cd_marital_status\n AND cd1.cd_education_status = '2 yr Degree'\n AND cd1.cd_education_status = cd2.cd_education_status\n AND ws_sales_price BETWEEN 150.00 AND 200.00 ) )\n AND ( ( ca_country = 'United States'\n AND ca_state IN ('IN',\n 'OH',\n 'NJ')\n AND ws_net_profit BETWEEN 100 AND 200)\n OR ( ca_country = 'United States'\n AND ca_state IN ('WI',\n 'CT',\n 'KY')\n AND ws_net_profit BETWEEN 150 AND 300)\n OR ( ca_country = 'United States'\n AND ca_state IN ('LA',\n 'IA',\n 'AR')\n AND ws_net_profit BETWEEN 50 AND 250) )\nGROUP BY r_reason_desc\nORDER BY SUBSTRING(r_reason_desc,1,20) ,\n avg(ws_quantity) ,\n avg(wr_refunded_cash) ,\n avg(wr_fee)\nLIMIT 100;\n"} |
| {"id": 85, "query": "SELECT sum(ws_net_paid) AS total_sum ,\n i_category ,\n i_class ,\n grouping(i_category)+grouping(i_class) AS lochierarchy ,\n rank() OVER ( PARTITION BY grouping(i_category)+grouping(i_class),\n CASE\n WHEN grouping(i_class) = 0 THEN i_category\n END\n ORDER BY sum(ws_net_paid) DESC) AS rank_within_parent\nFROM web_sales ,\n date_dim d1 ,\n item\nWHERE d1.d_month_seq BETWEEN 1200 AND 1200+11\n AND d1.d_date_sk = ws_sold_date_sk\n AND i_item_sk = ws_item_sk\nGROUP BY rollup(i_category,i_class)\nORDER BY lochierarchy DESC NULLS FIRST,\n CASE\n WHEN grouping(i_category)+grouping(i_class) = 0 THEN i_category\n END NULLS FIRST,\n rank_within_parent NULLS FIRST\nLIMIT 100;\n"} |
| {"id": 86, "query": "SELECT count(*)\nFROM ((SELECT DISTINCT c_last_name,\n c_first_name,\n d_date\n FROM store_sales,\n date_dim,\n customer\n WHERE store_sales.ss_sold_date_sk = date_dim.d_date_sk\n AND store_sales.ss_customer_sk = customer.c_customer_sk\n AND d_month_seq BETWEEN 1200 AND 1200+11)\n EXCEPT\n (SELECT DISTINCT c_last_name,\n c_first_name,\n d_date\n FROM catalog_sales,\n date_dim,\n customer\n WHERE catalog_sales.cs_sold_date_sk = date_dim.d_date_sk\n AND catalog_sales.cs_bill_customer_sk = customer.c_customer_sk\n AND d_month_seq BETWEEN 1200 AND 1200+11)\n EXCEPT\n (SELECT DISTINCT c_last_name,\n c_first_name,\n d_date\n FROM web_sales,\n date_dim,\n customer\n WHERE web_sales.ws_sold_date_sk = date_dim.d_date_sk\n AND web_sales.ws_bill_customer_sk = customer.c_customer_sk\n AND d_month_seq BETWEEN 1200 AND 1200+11)) cool_cust ;\n"} |
| {"id": 87, "query": "SELECT *\nFROM\n (SELECT count(*) h8_30_to_9\n FROM store_sales,\n household_demographics,\n time_dim,\n store\n WHERE ss_sold_time_sk = time_dim.t_time_sk\n AND ss_hdemo_sk = household_demographics.hd_demo_sk\n AND ss_store_sk = s_store_sk\n AND time_dim.t_hour = 8\n AND time_dim.t_minute >= 30\n AND ((household_demographics.hd_dep_count = 4\n AND household_demographics.hd_vehicle_count<=4+2)\n OR (household_demographics.hd_dep_count = 2\n AND household_demographics.hd_vehicle_count<=2+2)\n OR (household_demographics.hd_dep_count = 0\n AND household_demographics.hd_vehicle_count<=0+2))\n AND store.s_store_name = 'ese') s1,\n (SELECT count(*) h9_to_9_30\n FROM store_sales,\n household_demographics,\n time_dim,\n store\n WHERE ss_sold_time_sk = time_dim.t_time_sk\n AND ss_hdemo_sk = household_demographics.hd_demo_sk\n AND ss_store_sk = s_store_sk\n AND time_dim.t_hour = 9\n AND time_dim.t_minute < 30\n AND ((household_demographics.hd_dep_count = 4\n AND household_demographics.hd_vehicle_count<=4+2)\n OR (household_demographics.hd_dep_count = 2\n AND household_demographics.hd_vehicle_count<=2+2)\n OR (household_demographics.hd_dep_count = 0\n AND household_demographics.hd_vehicle_count<=0+2))\n AND store.s_store_name = 'ese') s2,\n (SELECT count(*) h9_30_to_10\n FROM store_sales,\n household_demographics,\n time_dim,\n store\n WHERE ss_sold_time_sk = time_dim.t_time_sk\n AND ss_hdemo_sk = household_demographics.hd_demo_sk\n AND ss_store_sk = s_store_sk\n AND time_dim.t_hour = 9\n AND time_dim.t_minute >= 30\n AND ((household_demographics.hd_dep_count = 4\n AND household_demographics.hd_vehicle_count<=4+2)\n OR (household_demographics.hd_dep_count = 2\n AND household_demographics.hd_vehicle_count<=2+2)\n OR (household_demographics.hd_dep_count = 0\n AND household_demographics.hd_vehicle_count<=0+2))\n AND store.s_store_name = 'ese') s3,\n (SELECT count(*) h10_to_10_30\n FROM store_sales,\n household_demographics,\n time_dim,\n store\n WHERE ss_sold_time_sk = time_dim.t_time_sk\n AND ss_hdemo_sk = household_demographics.hd_demo_sk\n AND ss_store_sk = s_store_sk\n AND time_dim.t_hour = 10\n AND time_dim.t_minute < 30\n AND ((household_demographics.hd_dep_count = 4\n AND household_demographics.hd_vehicle_count<=4+2)\n OR (household_demographics.hd_dep_count = 2\n AND household_demographics.hd_vehicle_count<=2+2)\n OR (household_demographics.hd_dep_count = 0\n AND household_demographics.hd_vehicle_count<=0+2))\n AND store.s_store_name = 'ese') s4,\n (SELECT count(*) h10_30_to_11\n FROM store_sales,\n household_demographics,\n time_dim,\n store\n WHERE ss_sold_time_sk = time_dim.t_time_sk\n AND ss_hdemo_sk = household_demographics.hd_demo_sk\n AND ss_store_sk = s_store_sk\n AND time_dim.t_hour = 10\n AND time_dim.t_minute >= 30\n AND ((household_demographics.hd_dep_count = 4\n AND household_demographics.hd_vehicle_count<=4+2)\n OR (household_demographics.hd_dep_count = 2\n AND household_demographics.hd_vehicle_count<=2+2)\n OR (household_demographics.hd_dep_count = 0\n AND household_demographics.hd_vehicle_count<=0+2))\n AND store.s_store_name = 'ese') s5,\n (SELECT count(*) h11_to_11_30\n FROM store_sales,\n household_demographics,\n time_dim,\n store\n WHERE ss_sold_time_sk = time_dim.t_time_sk\n AND ss_hdemo_sk = household_demographics.hd_demo_sk\n AND ss_store_sk = s_store_sk\n AND time_dim.t_hour = 11\n AND time_dim.t_minute < 30\n AND ((household_demographics.hd_dep_count = 4\n AND household_demographics.hd_vehicle_count<=4+2)\n OR (household_demographics.hd_dep_count = 2\n AND household_demographics.hd_vehicle_count<=2+2)\n OR (household_demographics.hd_dep_count = 0\n AND household_demographics.hd_vehicle_count<=0+2))\n AND store.s_store_name = 'ese') s6,\n (SELECT count(*) h11_30_to_12\n FROM store_sales,\n household_demographics,\n time_dim,\n store\n WHERE ss_sold_time_sk = time_dim.t_time_sk\n AND ss_hdemo_sk = household_demographics.hd_demo_sk\n AND ss_store_sk = s_store_sk\n AND time_dim.t_hour = 11\n AND time_dim.t_minute >= 30\n AND ((household_demographics.hd_dep_count = 4\n AND household_demographics.hd_vehicle_count<=4+2)\n OR (household_demographics.hd_dep_count = 2\n AND household_demographics.hd_vehicle_count<=2+2)\n OR (household_demographics.hd_dep_count = 0\n AND household_demographics.hd_vehicle_count<=0+2))\n AND store.s_store_name = 'ese') s7,\n (SELECT count(*) h12_to_12_30\n FROM store_sales,\n household_demographics,\n time_dim,\n store\n WHERE ss_sold_time_sk = time_dim.t_time_sk\n AND ss_hdemo_sk = household_demographics.hd_demo_sk\n AND ss_store_sk = s_store_sk\n AND time_dim.t_hour = 12\n AND time_dim.t_minute < 30\n AND ((household_demographics.hd_dep_count = 4\n AND household_demographics.hd_vehicle_count<=4+2)\n OR (household_demographics.hd_dep_count = 2\n AND household_demographics.hd_vehicle_count<=2+2)\n OR (household_demographics.hd_dep_count = 0\n AND household_demographics.hd_vehicle_count<=0+2))\n AND store.s_store_name = 'ese') s8 ;\n\n"} |
| {"id": 88, "query": "\nSELECT * from\n (SELECT i_category, i_class, i_brand, s_store_name, s_company_name, d_moy, sum(ss_sales_price) sum_sales, avg(sum(ss_sales_price)) OVER (PARTITION BY i_category, i_brand, s_store_name, s_company_name) avg_monthly_sales\n FROM item, store_sales, date_dim, store\n WHERE ss_item_sk = i_item_sk\n AND ss_sold_date_sk = d_date_sk\n AND ss_store_sk = s_store_sk\n AND d_year = 1999\n AND ((i_category IN ('Books','Electronics','Sports')\n AND i_class IN ('computers','stereo','football') )\n OR (i_category IN ('Men','Jewelry','Women')\n AND i_class IN ('shirts','birdal','dresses')))\n GROUP BY i_category, i_class, i_brand, s_store_name, s_company_name, d_moy) tmp1\nWHERE CASE\n WHEN (avg_monthly_sales <> 0) THEN (abs(sum_sales - avg_monthly_sales) / avg_monthly_sales)\n ELSE NULL\n END > 0.1\nORDER BY sum_sales - avg_monthly_sales,\n s_store_name, 1, 2, 3, 5, 6, 7, 8\nLIMIT 100;\n\n"} |
| {"id": 89, "query": "SELECT case when pmc=0 then null else cast(amc AS decimal(15,4))/cast(pmc AS decimal(15,4)) end am_pm_ratio\nFROM\n (SELECT count(*) amc\n FROM web_sales,\n household_demographics,\n time_dim,\n web_page\n WHERE ws_sold_time_sk = time_dim.t_time_sk\n AND ws_ship_hdemo_sk = household_demographics.hd_demo_sk\n AND ws_web_page_sk = web_page.wp_web_page_sk\n AND time_dim.t_hour BETWEEN 8 AND 8+1\n AND household_demographics.hd_dep_count = 6\n AND web_page.wp_char_count BETWEEN 5000 AND 5200) at_,\n (SELECT count(*) pmc\n FROM web_sales,\n household_demographics,\n time_dim,\n web_page\n WHERE ws_sold_time_sk = time_dim.t_time_sk\n AND ws_ship_hdemo_sk = household_demographics.hd_demo_sk\n AND ws_web_page_sk = web_page.wp_web_page_sk\n AND time_dim.t_hour BETWEEN 19 AND 19+1\n AND household_demographics.hd_dep_count = 6\n AND web_page.wp_char_count BETWEEN 5000 AND 5200) pt\nORDER BY am_pm_ratio\nLIMIT 100;\n\n"} |
| {"id": 90, "query": "SELECT cc_call_center_id Call_Center,\n cc_name Call_Center_Name,\n cc_manager Manager,\n sum(cr_net_loss) Returns_Loss\nFROM call_center,\n catalog_returns,\n date_dim,\n customer,\n customer_address,\n customer_demographics,\n household_demographics\nWHERE cr_call_center_sk = cc_call_center_sk\n AND cr_returned_date_sk = d_date_sk\n AND cr_returning_customer_sk= c_customer_sk\n AND cd_demo_sk = c_current_cdemo_sk\n AND hd_demo_sk = c_current_hdemo_sk\n AND ca_address_sk = c_current_addr_sk\n AND d_year = 1998\n AND d_moy = 11\n AND ((cd_marital_status = 'M'\n AND cd_education_status = 'Unknown') or(cd_marital_status = 'W'\n AND cd_education_status = 'Advanced Degree'))\n AND hd_buy_potential LIKE 'Unknown%'\n AND ca_gmt_offset = -7\nGROUP BY cc_call_center_id,\n cc_name,\n cc_manager,\n cd_marital_status,\n cd_education_status\nORDER BY sum(cr_net_loss) DESC;\n\n"} |
| {"id": 91, "query": "SELECT sum(ws_ext_discount_amt) AS \"Excess Discount Amount\"\nFROM web_sales,\n item,\n date_dim\nWHERE i_manufact_id = 350\n AND i_item_sk = ws_item_sk\n AND d_date BETWEEN '2000-01-27' AND cast('2000-04-26' AS date)\n AND d_date_sk = ws_sold_date_sk\n AND ws_ext_discount_amt >\n (SELECT 1.3 * avg(ws_ext_discount_amt)\n FROM web_sales,\n date_dim\n WHERE ws_item_sk = i_item_sk\n AND d_date BETWEEN '2000-01-27' AND cast('2000-04-26' AS date)\n AND d_date_sk = ws_sold_date_sk )\nORDER BY sum(ws_ext_discount_amt)\nLIMIT 100;\n\n"} |
| {"id": 92, "query": "SELECT ss_customer_sk,\n sum(act_sales) sumsales\nFROM\n (SELECT ss_item_sk,\n ss_ticket_number,\n ss_customer_sk,\n CASE\n WHEN sr_return_quantity IS NOT NULL THEN (ss_quantity-sr_return_quantity)*ss_sales_price\n ELSE (ss_quantity*ss_sales_price)\n END act_sales\n FROM store_sales\n LEFT OUTER JOIN store_returns ON (sr_item_sk = ss_item_sk\n AND sr_ticket_number = ss_ticket_number) ,reason\n WHERE sr_reason_sk = r_reason_sk\n AND r_reason_desc = 'reason 28') t\nGROUP BY ss_customer_sk\nORDER BY sumsales NULLS FIRST,\n ss_customer_sk NULLS FIRST\nLIMIT 100;\n\n"} |
| {"id": 93, "query": "\nSELECT count(DISTINCT ws_order_number) AS \"order count\" ,\n sum(ws_ext_ship_cost) AS \"total shipping cost\" ,\n sum(ws_net_profit) AS \"total net profit\"\nFROM web_sales ws1 ,\n date_dim ,\n customer_address ,\n web_site\nWHERE d_date BETWEEN '1999-02-01' AND cast('1999-04-02' AS date)\n AND ws1.ws_ship_date_sk = d_date_sk\n AND ws1.ws_ship_addr_sk = ca_address_sk\n AND ca_state = 'IL'\n AND ws1.ws_web_site_sk = web_site_sk\n AND web_company_name = 'pri'\n AND EXISTS\n (SELECT *\n FROM web_sales ws2\n WHERE ws1.ws_order_number = ws2.ws_order_number\n AND ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk)\n AND NOT exists\n (SELECT *\n FROM web_returns wr1\n WHERE ws1.ws_order_number = wr1.wr_order_number)\nORDER BY count(DISTINCT ws_order_number)\nLIMIT 100;\n\n"} |
| {"id": 94, "query": "WITH ws_wh AS\n (SELECT ws1.ws_order_number,\n ws1.ws_warehouse_sk wh1,\n ws2.ws_warehouse_sk wh2\n FROM web_sales ws1,\n web_sales ws2\n WHERE ws1.ws_order_number = ws2.ws_order_number\n AND ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk)\nSELECT count(DISTINCT ws_order_number) AS \"order count\" ,\n sum(ws_ext_ship_cost) AS \"total shipping cost\" ,\n sum(ws_net_profit) AS \"total net profit\"\nFROM web_sales ws1 ,\n date_dim ,\n customer_address ,\n web_site\nWHERE d_date BETWEEN '1999-02-01' AND cast('1999-04-02' AS date)\n AND ws1.ws_ship_date_sk = d_date_sk\n AND ws1.ws_ship_addr_sk = ca_address_sk\n AND ca_state = 'IL'\n AND ws1.ws_web_site_sk = web_site_sk\n AND web_company_name = 'pri'\n AND ws1.ws_order_number IN\n (SELECT ws_order_number\n FROM ws_wh)\n AND ws1.ws_order_number IN\n (SELECT wr_order_number\n FROM web_returns,\n ws_wh\n WHERE wr_order_number = ws_wh.ws_order_number)\nORDER BY count(DISTINCT ws_order_number)\nLIMIT 100;\n\n"} |
| {"id": 95, "query": "SELECT count(*)\nFROM store_sales ,\n household_demographics,\n time_dim,\n store\nWHERE ss_sold_time_sk = time_dim.t_time_sk\n AND ss_hdemo_sk = household_demographics.hd_demo_sk\n AND ss_store_sk = s_store_sk\n AND time_dim.t_hour = 20\n AND time_dim.t_minute >= 30\n AND household_demographics.hd_dep_count = 7\n AND store.s_store_name = 'ese'\nORDER BY count(*)\nLIMIT 100;\n\n"} |
| {"id": 96, "query": "WITH ssci AS\n (SELECT ss_customer_sk customer_sk ,\n ss_item_sk item_sk\n FROM store_sales,\n date_dim\n WHERE ss_sold_date_sk = d_date_sk\n AND d_month_seq BETWEEN 1200 AND 1200 + 11\n GROUP BY ss_customer_sk ,\n ss_item_sk),\n csci as\n ( SELECT cs_bill_customer_sk customer_sk ,cs_item_sk item_sk\n FROM catalog_sales,date_dim\n WHERE cs_sold_date_sk = d_date_sk\n AND d_month_seq BETWEEN 1200 AND 1200 + 11\n GROUP BY cs_bill_customer_sk ,cs_item_sk)\nSELECT sum(CASE\n WHEN ssci.customer_sk IS NOT NULL\n AND csci.customer_sk IS NULL THEN 1\n ELSE 0\n END) store_only ,\n sum(CASE\n WHEN ssci.customer_sk IS NULL\n AND csci.customer_sk IS NOT NULL THEN 1\n ELSE 0\n END) catalog_only ,\n sum(CASE\n WHEN ssci.customer_sk IS NOT NULL\n AND csci.customer_sk IS NOT NULL THEN 1\n ELSE 0\n END) store_and_catalog\nFROM ssci\nFULL OUTER JOIN csci ON (ssci.customer_sk=csci.customer_sk\n AND ssci.item_sk = csci.item_sk)\nLIMIT 100;\n\n"} |
| {"id": 97, "query": "SELECT i_item_id ,\n i_item_desc,\n i_category,\n i_class,\n i_current_price ,\n sum(ss_ext_sales_price) AS itemrevenue,\n sum(ss_ext_sales_price)*100.0000/sum(sum(ss_ext_sales_price)) OVER (PARTITION BY i_class) AS revenueratio\nFROM store_sales ,\n item,\n date_dim\nWHERE ss_item_sk = i_item_sk\n AND i_category IN ('Sports',\n 'Books',\n 'Home')\n AND ss_sold_date_sk = d_date_sk\n AND d_date BETWEEN cast('1999-02-22' AS date) AND cast('1999-03-24' AS date)\nGROUP BY i_item_id ,\n i_item_desc,\n i_category ,\n i_class ,\n i_current_price\nORDER BY i_category NULLS FIRST,\n i_class NULLS FIRST,\n i_item_id NULLS FIRST,\n i_item_desc NULLS FIRST,\n revenueratio NULLS FIRST;\n"} |
| {"id": 98, "query": "SELECT w_substr ,\n sm_type ,\n LOWER(cc_name) cc_name_lower ,\n sum(CASE\n WHEN (cs_ship_date_sk - cs_sold_date_sk <= 30) THEN 1\n ELSE 0\n END) AS \"30 days\",\n sum(CASE\n WHEN (cs_ship_date_sk - cs_sold_date_sk > 30)\n AND (cs_ship_date_sk - cs_sold_date_sk <= 60) THEN 1\n ELSE 0\n END) AS \"31-60 days\",\n sum(CASE\n WHEN (cs_ship_date_sk - cs_sold_date_sk > 60)\n AND (cs_ship_date_sk - cs_sold_date_sk <= 90) THEN 1\n ELSE 0\n END) AS \"61-90 days\",\n sum(CASE\n WHEN (cs_ship_date_sk - cs_sold_date_sk > 90)\n AND (cs_ship_date_sk - cs_sold_date_sk <= 120) THEN 1\n ELSE 0\n END) AS \"91-120 days\",\n sum(CASE\n WHEN (cs_ship_date_sk - cs_sold_date_sk > 120) THEN 1\n ELSE 0\n END) AS \">120 days\"\nFROM catalog_sales ,\n (SELECT SUBSTRING(w_warehouse_name,1,20) w_substr, *\n FROM warehouse) AS sq1 ,\n ship_mode ,\n call_center ,\n date_dim\nWHERE d_month_seq BETWEEN 1200 AND 1200 + 11\n AND cs_ship_date_sk = d_date_sk\n AND cs_warehouse_sk = w_warehouse_sk\n AND cs_ship_mode_sk = sm_ship_mode_sk\n AND cs_call_center_sk = cc_call_center_sk\nGROUP BY w_substr ,\n sm_type ,\n cc_name\nORDER BY w_substr NULLS FIRST,\n sm_type NULLS FIRST,\n cc_name_lower NULLS FIRST\nLIMIT 100;\n\n"} |
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