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beyzad

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Everything posted by beyzad

  1. Hello sir. My indexes are shown in the SQL provided above. There are 53.7MB data + 7MB index @ factors table and 88.9MB data + 13.1MB index @ factor_times table. If you have any suggestion changing my indexes, I'll appreciate that. This is not working. shouldn't the conditions for RIGHT table be in join part of query?
  2. Hello there. I have 2 table: factors: CREATE TABLE IF NOT EXISTS `factors` ( `vendor_id` varchar( COLLATE utf8_unicode_ci NOT NULL, `factor_key` varchar(18) COLLATE utf8_unicode_ci NOT NULL, `factor_status` enum('0','1','2','3','4','5','6','7','8','9','10','11') COLLATE utf8_unicode_ci NOT NULL DEFAULT '0' COMMENT '0: pending. 1: ready. 2:sent. 3:delivered. 4:canceled. 5:returned. 6:return_confirmed. 7: canceled_by_post. 8: banned. 9: waiting. 10: failed CASH. 11: transferred', UNIQUE KEY `factor_key` (`factor_key`), KEY `vendor_id` (`vendor_id`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci; factor_times: CREATE TABLE IF NOT EXISTS `factor_times` ( `factor_key` varchar(18) COLLATE utf8_unicode_ci NOT NULL, `factor_status` int(11) NOT NULL, `factor_time` int(11) NOT NULL, KEY `factor_key` (`factor_key`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci; Factor times will save timestamp for each status (0 to 11). each factor_key can have unlimited statuses and times. for example, a factor can go to status 1, then go back to 0, then go to 2, then 3, then back to 1 .... What i want, is to export first time of statuss of (0,2,3,6) for each day of the month. for example, i want to export orders that been in status (0,2,3,6) in November, grouped day by day. What i tried is something like this: SELECT `factor_times`.`factor_status`, MIN(`factor_times`.`factor_time`) FROM `factor_times` INNER JOIN `factors` ON `factor_times`.`factor_key`=`factors`.`factor_key` AND `factors`.`vendor_id`='03010001' WHERE `factor_times`.`factor_status` IN (0,2,3,6) AND `factor_times`.`factor_time` > 1437507000 AND `factor_times`.`factor_time` > 1440185400 GROUP BY `factor_times`.`factor_key` This used to export all times in a period, so i can use PHP code to assign them to each day of month. But it takes so so so so so so long to execute. factor rows: 246,718 factor_times rows: 2,915,127 Sorry for poor English :happy-04:
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