wdate-year-month-week-gategory-amount-coin
---2016-12-02 19:46:39
the whole table
DISTINCT field
SUM(field)
COUNT(field)
--- 888983 rows OK
1 SELECT 2 * 3 FROM 4 ( 5 SELECT 6 DATE_FORMAT(date, '%Y') AS history_year, 7 DATE_FORMAT(date, '%m') AS history_month, 8 SUM(coin) AS month_category_coin, 9 SUM(amount) AS month_category_amount, 10 country AS fk_country, 11 category AS fk_category 12 FROM 13 study_test 14 WHERE 15 DATE_FORMAT(date, '%Y') = 2016 16 GROUP BY 17 fk_country, 18 fk_category, 19 history_year, 20 history_month 21 ) AS wt_month_sum 22 LEFT JOIN ( 23 SELECT 24 tmp.history_year, 25 tmp.history_month, 26 tmp.fk_country, 27 tmp.fk_category, 28 COUNT(fk_asin) AS month_category_diff_asins 29 FROM 30 ( 31 SELECT 32 DATE_FORMAT(date, '%Y') AS history_year, 33 DATE_FORMAT(date, '%m') AS history_month, 34 country AS fk_country, 35 category AS fk_category, 36 asin AS fk_asin 37 FROM 38 study_test 39 WHERE 40 DATE_FORMAT(date, '%Y') = 2016 41 GROUP BY 42 fk_country, 43 fk_category, 44 fk_asin, 45 history_year, 46 history_month 47 ) AS tmp 48 GROUP BY 49 fk_country, 50 fk_category, 51 history_year, 52 history_month 53 ) AS wt_month_diff_asins ON wt_month_sum.fk_country = wt_month_diff_asins.fk_country 54 AND wt_month_sum.fk_category = wt_month_diff_asins.fk_category 55 AND wt_month_sum.history_year = wt_month_diff_asins.history_year 56 AND wt_month_sum.history_month = wt_month_diff_asins.history_month 57 LEFT JOIN ( 58 SELECT 59 tmp.history_year, 60 tmp.history_month, 61 tmp.fk_country, 62 tmp.fk_category, 63 COUNT(fk_diff_days) AS month_category_diff_days 64 FROM 65 ( 66 SELECT 67 DATE_FORMAT(date, '%Y') AS history_year, 68 DATE_FORMAT(date, '%m') AS history_month, 69 country AS fk_country, 70 category AS fk_category, 71 date AS fk_diff_days 72 FROM 73 study_test 74 WHERE 75 DATE_FORMAT(date, '%Y') = 2016 76 GROUP BY 77 fk_country, 78 fk_category, 79 fk_diff_days, 80 history_year, 81 history_month 82 ) AS tmp 83 GROUP BY 84 fk_country, 85 fk_category, 86 history_year, 87 history_month 88 ) AS wt_month_diff_days ON wt_month_sum.fk_country = wt_month_diff_days.fk_country 89 AND wt_month_sum.fk_category = wt_month_diff_days.fk_category 90 AND wt_month_sum.history_year = wt_month_diff_days.history_year 91 AND wt_month_sum.history_month = wt_month_diff_days.history_month 92 LEFT JOIN ( 93 SELECT 94 DATE_FORMAT(date, '%Y') AS history_year, 95 DATE_FORMAT(date, '%m') AS history_month, 96 DATE_FORMAT(date, '%V') AS history_week, 97 SUM(coin) AS week_category_coin, 98 SUM(amount) AS week_category_amount, 99 country AS fk_country, 100 category AS fk_category 101 FROM 102 study_test 103 WHERE 104 DATE_FORMAT(date, '%Y') = 2016 105 GROUP BY 106 fk_country, 107 fk_category, 108 history_year, 109 history_month, 110 history_week 111 ) AS wt_week_sum ON wt_month_sum.fk_country = wt_week_sum.fk_country 112 AND wt_month_sum.fk_category = wt_week_sum.fk_category 113 AND wt_month_sum.history_year = wt_week_sum.history_year 114 AND wt_month_sum.history_month = wt_week_sum.history_month 115 LEFT JOIN ( 116 SELECT 117 tmp.history_year, 118 tmp.history_month, 119 tmp.history_week, 120 tmp.fk_country, 121 tmp.fk_category, 122 COUNT(fk_diff_asin) AS week_category_diff_asins 123 FROM 124 ( 125 SELECT 126 DATE_FORMAT(date, '%Y') AS history_year, 127 DATE_FORMAT(date, '%m') AS history_month, 128 DATE_FORMAT(date, '%V') AS history_week, 129 country AS fk_country, 130 category AS fk_category, 131 asin AS fk_diff_asin 132 FROM 133 study_test 134 WHERE 135 DATE_FORMAT(date, '%Y') = 2016 136 GROUP BY 137 fk_country, 138 fk_category, 139 fk_diff_asin, 140 history_year, 141 history_month, 142 history_week 143 ) AS tmp 144 GROUP BY 145 fk_country, 146 fk_category, 147 history_year, 148 history_month, 149 history_week 150 ) AS wt_week_diff_asins ON wt_week_sum.fk_country = wt_week_diff_asins.fk_country 151 AND wt_week_sum.fk_category = wt_week_diff_asins.fk_category 152 AND wt_week_sum.history_year = wt_week_diff_asins.history_year 153 AND wt_week_sum.history_month = wt_week_diff_asins.history_month 154 AND wt_week_sum.history_week = wt_week_diff_asins.history_week 155 LEFT JOIN ( 156 SELECT 157 tmp.history_year, 158 tmp.history_month, 159 tmp.history_week, 160 tmp.fk_country, 161 tmp.fk_category, 162 COUNT(fk_diff_days) AS week_category_diff_days 163 FROM 164 ( 165 SELECT 166 DATE_FORMAT(date, '%Y') AS history_year, 167 DATE_FORMAT(date, '%m') AS history_month, 168 DATE_FORMAT(date, '%V') AS history_week, 169 country AS fk_country, 170 category AS fk_category, 171 date AS fk_diff_days 172 FROM 173 study_test 174 WHERE 175 DATE_FORMAT(date, '%Y') = 2016 176 GROUP BY 177 fk_country, 178 fk_category, 179 fk_diff_days, 180 history_year, 181 history_month, 182 history_week 183 ) AS tmp 184 GROUP BY 185 fk_country, 186 fk_category, 187 history_year, 188 history_month, 189 history_week 190 ) AS wt_week_diff_days ON wt_week_sum.fk_country = wt_week_diff_days.fk_country 191 AND wt_week_sum.fk_category = wt_week_diff_days.fk_category 192 AND wt_week_sum.history_year = wt_week_diff_days.history_year 193 AND wt_week_sum.history_month = wt_week_diff_days.history_month 194 AND wt_week_sum.history_week = wt_week_diff_days.history_week
1 SELECT COUNT(DISTINCT date),COUNT(DISTINCT asin), SUM(coin),SUM(amount),SUM(coin)/SUM(amount) FROM asinsaleranks WHERE category=9 AND LEFT(date, 6) = '201608' 2 SELECT COUNT(DISTINCT date),COUNT(DISTINCT asin), SUM(coin),SUM(amount),SUM(coin)/SUM(amount) FROM asinsaleranks WHERE category=9 AND LEFT(date, 6) = '201609' 3 4 5 SELECT COUNT(DISTINCT date),COUNT(DISTINCT asin), SUM(coin),SUM(amount),SUM(coin)/SUM(amount) FROM asinsaleranks WHERE category=6 AND date= '20160731' 6 SELECT COUNT(DISTINCT date),COUNT(DISTINCT asin), SUM(coin),SUM(amount),SUM(coin)/SUM(amount) FROM asinsaleranks WHERE category=6 AND date> '20160731' AND date< '20160807' 7 SELECT COUNT(DISTINCT date),COUNT(DISTINCT asin), SUM(coin),SUM(amount),SUM(coin)/SUM(amount) FROM asinsaleranks WHERE category=6 AND date> '20160806' AND date< '20160814'
1 SELECT 2 * 3 FROM 4 ( 5 SELECT 6 DATE_FORMAT(date, '%Y') AS history_year, 7 DATE_FORMAT(date, '%m') AS history_month, 8 SUM(coin) AS month_category_coin, 9 SUM(amount) AS month_category_amount, 10 country AS fk_country, 11 category AS fk_category 12 FROM 13 study_test 14 WHERE 15 DATE_FORMAT(date, '%Y') = 2016 16 GROUP BY 17 fk_country, 18 fk_category, 19 history_year, 20 history_month 21 ) AS wt_month_sum 22 LEFT JOIN ( 23 SELECT 24 tmp.history_year, 25 tmp.history_month, 26 tmp.fk_country, 27 tmp.fk_category, 28 COUNT(fk_asin) AS month_category_diff_asins 29 FROM 30 ( 31 SELECT 32 DATE_FORMAT(date, '%Y') AS history_year, 33 DATE_FORMAT(date, '%m') AS history_month, 34 country AS fk_country, 35 category AS fk_category, 36 asin AS fk_asin 37 FROM 38 study_test 39 WHERE 40 DATE_FORMAT(date, '%Y') = 2016 41 GROUP BY 42 fk_country, 43 fk_category, 44 fk_asin, 45 history_year, 46 history_month 47 ) AS tmp 48 GROUP BY 49 fk_country, 50 fk_category, 51 history_year, 52 history_month 53 ) AS wt_month_diff_asins ON wt_month_sum.fk_country = wt_month_diff_asins.fk_country 54 AND wt_month_sum.fk_category = wt_month_diff_asins.fk_category 55 AND wt_month_sum.history_year = wt_month_diff_asins.history_year 56 AND wt_month_sum.history_month = wt_month_diff_asins.history_month 57 LEFT JOIN ( 58 SELECT 59 tmp.history_year, 60 tmp.history_month, 61 tmp.fk_country, 62 tmp.fk_category, 63 COUNT(fk_diff_days) AS month_category_diff_days 64 FROM 65 ( 66 SELECT 67 DATE_FORMAT(date, '%Y') AS history_year, 68 DATE_FORMAT(date, '%m') AS history_month, 69 country AS fk_country, 70 category AS fk_category, 71 date AS fk_diff_days 72 FROM 73 study_test 74 WHERE 75 DATE_FORMAT(date, '%Y') = 2016 76 GROUP BY 77 fk_country, 78 fk_category, 79 fk_diff_days, 80 history_year, 81 history_month 82 ) AS tmp 83 GROUP BY 84 fk_country, 85 fk_category, 86 history_year, 87 history_month 88 ) AS wt_month_diff_days ON wt_month_sum.fk_country = wt_month_diff_days.fk_country 89 AND wt_month_sum.fk_category = wt_month_diff_days.fk_category 90 AND wt_month_sum.history_year = wt_month_diff_days.history_year 91 AND wt_month_sum.history_month = wt_month_diff_days.history_month 92 LEFT JOIN ( 93 SELECT 94 DATE_FORMAT(date, '%Y') AS history_year, 95 DATE_FORMAT(date, '%m') AS history_month, 96 DATE_FORMAT(date, '%V') AS history_week, 97 SUM(coin) AS week_category_coin, 98 SUM(amount) AS week_category_amount, 99 country AS fk_country, 100 category AS fk_category 101 FROM 102 study_test 103 WHERE 104 DATE_FORMAT(date, '%Y') = 2016 105 GROUP BY 106 fk_country, 107 fk_category, 108 history_year, 109 history_month, 110 history_week 111 ) AS wt_week_sum ON wt_month_sum.fk_country = wt_week_sum.fk_country 112 AND wt_month_sum.fk_category = wt_week_sum.fk_category 113 AND wt_month_sum.history_year = wt_week_sum.history_year 114 AND wt_month_sum.history_month = wt_week_sum.history_month 115 LEFT JOIN ( 116 SELECT 117 tmp.history_year, 118 tmp.history_month, 119 tmp.history_week, 120 tmp.fk_country, 121 tmp.fk_category, 122 COUNT(fk_diff_asin) AS week_category_diff_asins 123 FROM 124 ( 125 SELECT 126 DATE_FORMAT(date, '%Y') AS history_year, 127 DATE_FORMAT(date, '%m') AS history_month, 128 DATE_FORMAT(date, '%V') AS history_week, 129 country AS fk_country, 130 category AS fk_category, 131 asin AS fk_diff_asin 132 FROM 133 study_test 134 WHERE 135 DATE_FORMAT(date, '%Y') = 2016 136 GROUP BY 137 fk_country, 138 fk_category, 139 fk_diff_asin, 140 history_year, 141 history_month, 142 history_week 143 ) AS tmp 144 GROUP BY 145 fk_country, 146 fk_category, 147 history_year, 148 history_month, 149 history_week 150 ) AS wt_week_diff_asins ON wt_week_sum.fk_country = wt_week_diff_asins.fk_country 151 AND wt_week_sum.fk_category = wt_week_diff_asins.fk_category 152 AND wt_week_sum.history_year = wt_week_diff_asins.history_year 153 AND wt_week_sum.history_month = wt_week_diff_asins.history_month 154 AND wt_week_sum.history_week = wt_week_diff_asins.history_week 155 LEFT JOIN ( 156 SELECT 157 tmp.history_year, 158 tmp.history_month, 159 tmp.history_week, 160 tmp.fk_country, 161 tmp.fk_category, 162 COUNT(fk_diff_days) AS week_category_diff_days 163 FROM 164 ( 165 SELECT 166 DATE_FORMAT(date, '%Y') AS history_year, 167 DATE_FORMAT(date, '%m') AS history_month, 168 DATE_FORMAT(date, '%V') AS history_week, 169 country AS fk_country, 170 category AS fk_category, 171 date AS fk_diff_days 172 FROM 173 study_test 174 WHERE 175 DATE_FORMAT(date, '%Y') = 2016 176 GROUP BY 177 fk_country, 178 fk_category, 179 fk_diff_days, 180 history_year, 181 history_month, 182 history_week 183 ) AS tmp 184 GROUP BY 185 fk_country, 186 fk_category, 187 history_year, 188 history_month, 189 history_week 190 ) AS wt_week_diff_days ON wt_week_sum.fk_country = wt_week_diff_days.fk_country 191 AND wt_week_sum.fk_category = wt_week_diff_days.fk_category 192 AND wt_week_sum.history_year = wt_week_diff_days.history_year 193 AND wt_week_sum.history_month = wt_week_diff_days.history_month 194 AND wt_week_sum.history_week = wt_week_diff_days.history_week
1 DROP TABLE IF EXISTS `study_test`; 2 CREATE TABLE `study_test` ( 3 `country` char(2) COLLATE utf8_bin NOT NULL, 4 `date` char(8) COLLATE utf8_bin NOT NULL DEFAULT '20161130', 5 `asin` char(10) COLLATE utf8_bin NOT NULL, 6 `category` int(10) unsigned NOT NULL DEFAULT '0', 7 `coin` decimal(16,4) unsigned NOT NULL DEFAULT '0.0000', 8 `amount` decimal(16,4) unsigned NOT NULL DEFAULT '0.0000', 9 PRIMARY KEY (`country`,`date`,`asin`), 10 KEY `k_asin` (`asin`) USING BTREE, 11 KEY `k_coin` (`coin`) USING BTREE, 12 KEY `k_amount` (`amount`) USING BTREE 13 ) ENGINE=MyISAM DEFAULT CHARSET=utf8 COLLATE=utf8_bin;
