MySQL 多个发送数据状态

Question

我的查询运行时间过长。当我分析它时，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

发送数据过多

查询一运行:

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' 

   )

解释节目


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 table 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进，但我认为如果您能以更有效的方式存储数据会更有帮助，尤其是如果您可以消除对

AND value 喜欢 '%17000106864%'

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且 select/join 它像这样：

WHERE invoiceNumber=17000106864

如果您只查找一条记录，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

最终查询为：

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("multiple Sending Data states")...

IN(SELECT ...) 通常效率很低。在您的情况下，它被重复执行，因此每次调用 "executing" 和 "sending data"。

其他答案通过将该构造转换为 JOIN.

来解决其他隐含问题 ("query runs too long")

其他问题；

PRIMARY KEY (`ID`),   -- This is UNIQUE and an INDEX
UNIQUE KEY `ID_UNIQUE` (`ID`),  -- totally redundant; DROP it

您可能受到性能问题的困扰，因为架构是 "EAV" (Entity-Attribute-Value)，您需要根据某些 key-value ("invoiceNumber") 进行过滤。考虑把它从key-valuetable(custom_fields)里拉出来，放到主table(OrdersArchive).

里

但后来我看到 OrdersArchive 有相当多的列。但是我对此没有任何具体的建议。

custom_fields 完全没有索引。请参阅 my tips 索引常见的 key-value table。

MySQL 多个发送数据状态

MySQL multiple Sending Data states

php

mysql

profiling

explain

entity-attribute-value