MySQL查詢優化幫助

Question

我的查詢很少，無法弄清楚如何對其進行優化，

查詢1

select * 
from t_twitter_tracking 
where classified is null and tweetType='ENGLISH' 
order by id limit 500;

查詢2

Select 
  count(*) as cnt, 
  DATE_FORMAT(CONVERT_TZ(wrdTrk.createdOnGMTDate,'+00:00','+05:30'),'%Y-%m-%d') 
  as dat
from
  t_twitter_tracking wrdTrk 
where 
  wrdTrk.word like ('dell')
  and CONVERT_TZ(wrdTrk.createdOnGMTDate,'+00:00','+05:30')  
      between  '2010-12-12 00:00:00' and '2010-12-26 00:00:00'
group by dat;

這兩個查詢都在同一張表上運行，

CREATE TABLE `t_twitter_tracking` (
`id` BIGINT(20) NOT NULL AUTO_INCREMENT,
`word` VARCHAR(200) NOT NULL,
`tweetId` BIGINT(100) NOT NULL,
`twtText` VARCHAR(800) NULL DEFAULT NULL,
`language` TEXT NULL,
`links` TEXT NULL,
`tweetType` VARCHAR(20) NULL DEFAULT NULL,
`source` TEXT NULL,
`sourceStripped` TEXT NULL,
`isTruncated` VARCHAR(40) NULL DEFAULT NULL,
`inReplyToStatusId` BIGINT(30) NULL DEFAULT NULL,
`inReplyToUserId` INT(11) NULL DEFAULT NULL,
`rtUsrProfilePicUrl` TEXT NULL,
`isFavorited` VARCHAR(40) NULL DEFAULT NULL,
`inReplyToScreenName` VARCHAR(40) NULL DEFAULT NULL,
`latitude` BIGINT(100) NOT NULL,
`longitude` BIGINT(100) NOT NULL,
`retweetedStatus` VARCHAR(40) NULL DEFAULT NULL,
`statusInReplyToStatusId` BIGINT(100) NOT NULL,
`statusInReplyToUserId` BIGINT(100) NOT NULL,
`statusFavorited` VARCHAR(40) NULL DEFAULT NULL,
`statusInReplyToScreenName` TEXT NULL,
`screenName` TEXT NULL,
`profilePicUrl` TEXT NULL,
`twitterId` BIGINT(100) NOT NULL,
`name` TEXT NULL,
`location` VARCHAR(100) NULL DEFAULT NULL,
`bio` TEXT NULL,
`url` TEXT NULL COLLATE 'latin1_swedish_ci',
`utcOffset` INT(11) NULL DEFAULT NULL,
`timeZone` VARCHAR(100) NULL DEFAULT NULL,
`frenCnt` BIGINT(20) NULL DEFAULT '0',
`createdAt` DATETIME NULL DEFAULT NULL,
`createdOnGMT` VARCHAR(40) NULL DEFAULT NULL,
`createdOnServerTime` DATETIME NULL DEFAULT NULL,
`follCnt` BIGINT(20) NULL DEFAULT '0',
`favCnt` BIGINT(20) NULL DEFAULT '0',
`totStatusCnt` BIGINT(20) NULL DEFAULT NULL,
`usrCrtDate` VARCHAR(200) NULL DEFAULT NULL,
`humanSentiment` VARCHAR(30) NULL DEFAULT NULL,
`replied` BIT(1) NULL DEFAULT NULL,
`replyMsg` TEXT NULL,
`classified` INT(32) NULL DEFAULT NULL,
`createdOnGMTDate` DATETIME NULL DEFAULT NULL,
`locationDetail` TEXT NULL,
`geonameid` INT(11) NULL DEFAULT NULL,
`country` VARCHAR(255) NULL DEFAULT NULL,
`continent` CHAR(2) NULL DEFAULT NULL,
`placeLongitude` FLOAT NULL DEFAULT NULL,
`placeLatitude` FLOAT NULL DEFAULT NULL,
PRIMARY KEY (`id`),
INDEX `id` (`id`, `word`),
INDEX `createdOnGMT_index` (`createdOnGMT`) USING BTREE,
INDEX `word_index` (`word`) USING BTREE,
INDEX `location_index` (`location`) USING BTREE,
INDEX `classified_index` (`classified`) USING BTREE,
INDEX `tweetType_index` (`tweetType`) USING BTREE,
INDEX `getunclassified_index` (`classified`, `tweetType`) USING BTREE,
INDEX `timeline_index` (`word`, `createdOnGMTDate`, `classified`) USING BTREE,
INDEX `createdOnGMTDate_index` (`createdOnGMTDate`) USING BTREE,
INDEX `locdetail_index` (`country`, `id`) USING BTREE,
FULLTEXT INDEX `twtText_index` (`twtText`)
)
COLLATE='utf8_general_ci'
ENGINE=MyISAM
ROW_FORMAT=DEFAULT
AUTO_INCREMENT=12608048;

該表有超過一千萬條記錄。 我該如何優化？

已編輯

解釋第二個查詢

“ id”;“ select_type”;“ table”;“ type”;“ possible_keys”;“ key”;“ key_len”;“ ref”;“ rows”;“ Extra”“ 1”;“ SIMPLE”;“ wrdTrk” ;“ range”;“ word_index，word_createdOnGMT”;“ word_index”;“ 602”; NULL;“ 222847”;“使用位置；使用臨時文件；使用文件排序”

問候，羅希特

Answer 1

在Query2中，我建議：
1.刪​​除DATE_FORMAT和CONVERT_TZ。 您可以將PHP處理為輸出或之間的條件。
2. like（'dell'）：我看不到任何'％'，因此您可以使用wrdTrk.word ='dell'來加快速度。

Answer 2

需要刪除where條件的convert_tz，

Select 
  count(*) as cnt, 
  DATE_FORMAT(CONVERT_TZ(wrdTrk.createdOnGMTDate,'+00:00','+05:30'),'%Y-%m-%d') 
  as dat
from
  t_twitter_tracking wrdTrk 
where 
  wrdTrk.word like ('dell')
  and CONVERT_TZ(wrdTrk.createdOnGMTDate,'+00:00','+05:30')  
      between  '2010-12-12 00:00:00' and '2010-12-26 00:00:00'
group by dat;

這將導致比較每一行並找出正確的結果，從而大大改善了查詢結果。 剛剛將轉換后的數據傳遞給查詢。

Select 
  count(*) as cnt, 
  DATE_FORMAT(CONVERT_TZ(wrdTrk.createdOnGMTDate,'+00:00','+05:30'),'%Y-%m-%d') 
  as dat
from
  t_twitter_tracking wrdTrk 
where 
  wrdTrk.word like ('dell')
  and CONVERT_TZ(wrdTrk.createdOnGMTDate,'+00:00','+05:30')  
      between  '2010-12-12 00:00:00' and '2010-12-26 00:00:00'
group by dat;