Question

我的查询运行时间过长。当我描述它时，我看到类似的东西：

    Sending data    0.039324
    executing   0.000011
    Sending data    0.039662
    executing   0.000012
    Sending data    0.040380
    executing   0.000015
    Sending data    0.035879
    executing   0.000012
    Sending data    0.035426
    executing   0.000012
    Sending data    0.038107
    executing   0.000011
    Sending data    0.035247
    executing   0.000011
    Sending data    0.050108
    executing   0.000014
    Sending data    0.045458
    executing   0.000012
    Sending data    0.034700
    executing   0.000012
    Sending data    0.036205
    executing   0.000012
    Sending data    0.034602
    executing   0.000015
    Sending data    0.034580
    executing   0.000012
    Sending data    0.034477
    executing   0.000010
    Sending data    0.034382
    executing   0.000010
    Sending data    0.034416
    executing   0.000011
    Sending data    0.034335
    executing   0.000010
    Sending data    0.034474
    executing   0.000010
    Sending data    0.034405
    executing   0.000010
    Sending data    0.034433
    executing   0.000011
    Sending data    0.034544
    executing   0.000010
    Sending data    0.034525
    executing   0.000011
    Sending data    0.034459
    executing   0.000010
    Sending data    0.034766
    executing   0.000011
    Sending data    0.034633
    executing   0.000010
    Sending data    0.034574
    executing   0.000011
    Sending data    0.034607
    executing   0.000010
    Sending data    0.034613
    executing   0.000011
    Sending data    0.034394
    executing   0.000010
    Sending data    0.034606
    executing   0.000011
    Sending data    0.034790
    executing   0.000011
    Sending data    0.034614
    executing   0.000011
    Sending data    0.034497
    executing   0.000010
    Sending data    0.034756
    executing   0.000010
    Sending data    0.034440
    executing   0.000010
    Sending data    0.034414
    executing   0.000011
    Sending data    0.034484
    executing   0.000011
    Sending data    0.034490
    executing   0.000011
    Sending data    0.034672
    executing   0.000011
    Sending data    0.034455
    executing   0.000011
    Sending data    0.034430
    executing   0.000011
    Sending data    0.034509
    executing   0.000012
    Sending data    0.034432
    executing   0.000012
    Sending data    0.034348
    executing   0.000011
    Sending data    0.034378
    executing   0.000011
    Sending data    0.034356
    executing   0.000011
    Sending data    0.034631
    end 0.000014
    query end   0.000007
    closing tables  0.000010
    freeing items   0.000025
    logging slow query  0.000003
    logging slow query  0.000004
    cleaning up 0.000004

发送数据太多了。

查询我跑了：

SELECT COUNT(*) as count from OrdersArchive where ID>0 and PId IN ('2564') and 
   (
   ID like '17000106864' 
   OR `OrderID` like '17000106864' 
   OR `ID` IN
   (
       SELECT `transferID`
       FROM `custom_fields`
       WHERE `fieldName` = 'invoiceNumber'
       AND `value` like '%17000106864%'
   )
   OR `tpb` LIKE '17000106864' 

   )

解释说明


id  select_type table   type    possible_keys   key key_len ref rows    Extra
1   PRIMARY OrdersArchive   range   PRIMARY,ID_UNIQUE   PRIMARY 4   NULL    41609   Using where
2   DEPENDENT SUBQUERY  custom_fields   ALL NULL    NULL    NULL    NULL    93141   Using where

MySQL表结构：

CREATE TABLE IF NOT EXISTS `OrdersArchive` (
  `ID` int(11) NOT NULL,
  `ids` int(11) NOT NULL DEFAULT '0',
  `OrderID` varchar(11) NOT NULL DEFAULT '0',
  `PricePosition` int(11) NOT NULL DEFAULT '0',
  `Reverse` tinyint(1) DEFAULT NULL,
  `DataOrder` timestamp NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
  `DataFlightTrain` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
  `Customer` varchar(255) DEFAULT NULL,
  `PhoneCustomer` varchar(255) DEFAULT NULL,
  `EmailCustomer` varchar(255) DEFAULT NULL,
  `Provider` int(11) DEFAULT NULL,
  `DeliveryTime` timestamp NULL DEFAULT NULL,
  `Address1` varchar(255) DEFAULT NULL,
  `Address2` varchar(255) NOT NULL,
  `Passangers` varchar(1024) DEFAULT NULL,
  `PassangersPhones` varchar(255) NOT NULL,
  `PassangersEmailes` varchar(255) NOT NULL,
  `FlightTrain` varchar(255) DEFAULT NULL,
  `QuantityPassangers` int(11) DEFAULT '1',
  `NamePlate` varchar(255) DEFAULT NULL,
  `PhoneDriver` varchar(255) DEFAULT NULL,
  `PhoneDriverNeed` tinyint(1) DEFAULT '0',
  `Status` int(11) DEFAULT NULL,
  `Operator` int(11) DEFAULT NULL,
  `userId` int(11) NOT NULL,
  `usn` varchar(256) NOT NULL,
  `ArendaNeed` varchar(255) DEFAULT '',
  `ArendaHour` int(11) DEFAULT NULL,
  `ArendaMinutes` varchar(255) DEFAULT '',
  `Cost` double DEFAULT NULL,
  `Notes` text NOT NULL,
  `notes2` varchar(256) NOT NULL DEFAULT '',
  `PId` int(11) NOT NULL DEFAULT '0',
  `Voucher` varchar(256) NOT NULL,
  `Invoice` varchar(256) NOT NULL,
  `Meet` varchar(255) NOT NULL,
  `Toward` varchar(255) NOT NULL,
  `techStatus` int(2) NOT NULL DEFAULT '0',
  `City` varchar(55) NOT NULL,
  `City2` varchar(55) NOT NULL,
  `Auto` varchar(30) NOT NULL,
  `department` varchar(255) NOT NULL DEFAULT '',
  `nsktime` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
  `tpb` varchar(255) NOT NULL DEFAULT '',
  `ban_add_races` int(1) NOT NULL DEFAULT '0',
  `paid` int(10) NOT NULL DEFAULT '0',
  `taxi` varchar(255) NOT NULL DEFAULT '',
  `price_client` int(11) DEFAULT NULL,
  `comission_from_client` int(11) DEFAULT NULL,
  `primechanie` varchar(1000) DEFAULT NULL,
  PRIMARY KEY (`ID`),
  UNIQUE KEY `ID_UNIQUE` (`ID`),
  KEY `fk_Orders_Users1_idx` (`Operator`),
  KEY `fk_Orders_Providers1_idx` (`Provider`),
  KEY `fk_Orders_OrderStatus1_idx` (`Status`),
  KEY `ids` (`ids`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

## and other table

CREATE TABLE IF NOT EXISTS `custom_fields` (
  `ID` int(11) NOT NULL AUTO_INCREMENT,
  `pid` int(11) NOT NULL,
  `transferID` int(11) NOT NULL,
  `fieldName` varchar(255) NOT NULL,
  `value` varchar(1024) NOT NULL,
  PRIMARY KEY (`ID`)
) ENGINE=InnoDB  DEFAULT CHARSET=utf8 AUTO_INCREMENT=325452 ;

Answer 1

虽然当前的SELECT查询可能会在某种程度上得到改善，但我认为如果你能以更有效的方式存储数据会有更多帮助，特别是如果你可以不再需要

AND value喜欢＆＃39;％17000106864％＆＃39;

如果您为invoiceNumber创建一个单独的字段并在插入数据时填充它，您可以将其编入索引并选择/加入它：

WHERE invoiceNumber = 17000106864

如果您只查找一条记录，则在查询中添加LIMIT也会有所帮助。

Answer 2

嗯，我用INNER JOIN完成了这个。运行0.34秒

最终查询是：

SELECT COUNT(`OrdersArchive`.ID) as count, `OrdersArchive`.ID
FROM `OrdersArchive`
INNER JOIN `custom_fields` on `OrdersArchive`.ID = `custom_fields`.`transferID`
WHERE `OrdersArchive`.ID>0 
AND `custom_fields`.`fieldName` = 'invoiceNumber'
AND 
`OrdersArchive`.PId IN ('2564') AND
(
   `OrdersArchive`.ID LIKE '17000106864' 
   OR `OrdersArchive`.`OrderID` LIKE '17000106864' 
   OR `OrdersArchive`.`tpb` LIKE '17000106864' 
   OR (
 `custom_fields`.`value` like '%17000106864%'
   )
)

Answer 3

回到标题中隐含的问题（＆＃34;多个发送数据状态＆＃34;）...

(head -n 1 test.sh; sed -n '2,${/\\/p}' test.sh | sort; tail -n 1 test.sh) > test_new.sh通常非常低效。在你的情况下，它被重复执行，从而执行＆＃34;和＆＃34;发送数据＆＃34;每次调用。

其他答案通过将该构造转换为IN(SELECT ...)来解决其他隐含问题（＆＃34;查询运行时间太长＆＃34;）。

其他问题;

JOIN

由于架构是＆＃34; EAV＆＃34; （实体 - 属性 - 值），您需要根据某个键值（＆＃34; invoiceNumber＆＃34;）进行过滤。考虑将其从键值表（PRIMARY KEY (`ID`), -- This is UNIQUE and an INDEX UNIQUE KEY `ID_UNIQUE` (`ID`), -- totally redundant; DROP it）中拉出来并将其放入主表（custom_fields）。

但后来我发现OrdersArchive有相当多的列。但我对此没有任何具体的建议。

OrdersArchive完全没有索引。有关索引公共键值表的信息，请参阅my tips。

MySQL多个发送数据状态

3 个答案: