8 種常被忽視的 SQL 錯誤用法

640?wx_fmt=jpeg

來源:http://t.cn/R6UMaA1

  • 1、LIMIT 語句

  • 2、隱式轉換

  • 3、關聯更新、刪除

  • 4、混合排序

  • 5、EXISTS語句

  • 6、條件下推

  • 7、提前縮小范圍

  • 8、中間結果集下推

  • 總結


sql語句的執行順序:

FROM?
<left_table>

ON?
<join_condition>

<join_type>
?JOIN?
<right_table>

WHERE?
<where_condition>

GROUP?BY?
<group_by_list>

HAVING?
<having_condition>

SELECT

DISTINCT?
<select_list>

ORDER?BY?
<order_by_condition>

LIMIT?
<limit_number>

1、LIMIT 語句

分頁查詢是最常用的場景之一,但也通常也是最容易出問題的地方。比如對于下面簡單的語句,一般 DBA 想到的辦法是在 type, name, create_time 字段上加組合索引。這樣條件排序都能有效的利用到索引,性能迅速提升。

SELECT?*?
FROM???operation?
WHERE??type?=?'SQLStats'?
???????AND?name?=?'SlowLog'?
ORDER??BY?create_time?
LIMIT??1000,?10;?

好吧,可能90%以上的 DBA 解決該問題就到此為止。但當 LIMIT 子句變成 “LIMIT 1000000,10” 時,程序員仍然會抱怨:我只取10條記錄為什么還是慢?

要知道數據庫也并不知道第1000000條記錄從什么地方開始,即使有索引也需要從頭計算一次。出現這種性能問題,多數情形下是程序員偷懶了。

在前端數據瀏覽翻頁,或者大數據分批導出等場景下,是可以將上一頁的最大值當成參數作為查詢條件的。SQL 重新設計如下:

SELECT???*?
FROM?????operation?
WHERE????type?=?'SQLStats'?
AND??????name?=?'SlowLog'?
AND??????create_time?>?'2017-03-16?14:00:00'?
ORDER?BY?create_time?limit?10;

在新設計下查詢時間基本固定,不會隨著數據量的增長而發生變化。

2、隱式轉換

SQL語句中查詢變量和字段定義類型不匹配是另一個常見的錯誤。比如下面的語句:

mysql>?explain?extended?SELECT?*?
?????>?FROM???my_balance?b?
?????>?WHERE??b.bpn?=?14000000123?
?????>???????AND?b.isverified?IS?NULL?;
mysql>?show?warnings;
|?Warning?|?1739?|?Cannot?use?ref?access?on?index?'bpn'?due?to?type?or?collation?conversion?on?field?'bpn'

其中字段 bpn 的定義為 varchar(20),MySQL 的策略是將字符串轉換為數字之后再比較。函數作用于表字段,索引失效。

上述情況可能是應用程序框架自動填入的參數,而不是程序員的原意。現在應用框架很多很繁雜,使用方便的同時也小心它可能給自己挖坑。

3、關聯更新、刪除

雖然 MySQL5.6 引入了物化特性,但需要特別注意它目前僅僅針對查詢語句的優化。對于更新或刪除需要手工重寫成 JOIN。

比如下面 UPDATE 語句,MySQL 實際執行的是循環/嵌套子查詢(DEPENDENT SUBQUERY),其執行時間可想而知。

UPDATE?operation?o?
SET????status?=?'applying'?
WHERE??o.id?IN?(SELECT?id?
????????????????FROM???(SELECT?o.id,?
???????????????????????????????o.status?
????????????????????????FROM???operation?o?
????????????????????????WHERE??o.group?=?123?
???????????????????????????????AND?o.status?NOT?IN?(?'done'?)?
????????????????????????ORDER??BY?o.parent,?
??????????????????????????????????o.id?
????????????????????????LIMIT??1)?t);?

執行計劃:

+----+--------------------+-------+-------+---------------+---------+---------+-------+------+-----------------------------------------------------+
|?id?|?select_type????????|?table?|?type??|?possible_keys?|?key?????|?key_len?|?ref???|?rows?|?Extra???????????????????????????????????????????????|
+----+--------------------+-------+-------+---------------+---------+---------+-------+------+-----------------------------------------------------+
|
?1??|?PRIMARY????????????|?o?????|?index?|???????????????|?PRIMARY?|?8???????|???????|?24???|?Using?where;?Using?temporary????????????????????????|
|?2??|?DEPENDENT?SUBQUERY?|???????|???????|???????????????|?????????|?????????|???????|??????|?Impossible?WHERE?noticed?after?reading?const?tables?|
|
?3??|?DERIVED????????????|?o?????|?ref???|?idx_2,idx_5???|?idx_5???|?8???????|?const?|?1????|?Using?where;?Using?filesort?????????????????????????|
+----+--------------------+-------+-------+---------------+---------+---------+-------+------+-----------------------------------------------------+

重寫為 JOIN 之后,子查詢的選擇模式從 DEPENDENT SUBQUERY 變成 DERIVED,執行速度大大加快,從7秒降低到2毫秒。

UPDATE?operation?o?
???????JOIN??(SELECT?o.id,?
????????????????????????????o.status?
?????????????????????FROM???operation?o?
?????????????????????WHERE??o.group?=?123?
????????????????????????????AND?o.status?NOT?IN?(?'done'?)?
?????????????????????ORDER??BY?o.parent,?
???????????????????????????????o.id?
?????????????????????LIMIT??1)?t
?????????ON?o.id?=?t.id?
SET????status?=?'applying'?

執行計劃簡化為:

+----+-------------+-------+------+---------------+-------+---------+-------+------+-----------------------------------------------------+
|?id?|?select_type?|?table?|?type?|?possible_keys?|?key???|?key_len?|?ref???|?rows?|?Extra???????????????????????????????????????????????|
+----+-------------+-------+------+---------------+-------+---------+-------+------+-----------------------------------------------------+
|?1??|?PRIMARY?????|???????|??????|???????????????|???????|?????????|???????|??????|?Impossible?WHERE?noticed?after?reading?const?tables?|
|?2??|?DERIVED?????|?o?????|?ref??|?idx_2,idx_5???|?idx_5?|?8???????|?const?|?1????|?Using?where;?Using?filesort?????????????????????????|
+----+-------------+-------+------+---------------+-------+---------+-------+------+-----------------------------------------------------+

4、混合排序

MySQL 不能利用索引進行混合排序。但在某些場景,還是有機會使用特殊方法提升性能的。

SELECT?*?
FROM???my_order?o?
???????INNER?JOIN?my_appraise?a?ON?a.orderid?=?o.id?
ORDER??BY?a.is_reply?ASC,?
??????????a.appraise_time?DESC?
LIMIT??0,?20?

執行計劃顯示為全表掃描:

+----+-------------+-------+--------+-------------+---------+---------+---------------+---------+-+
|?id?|?select_type?|?table?|?type???|?possible_keys?????|?key?????|?key_len?|?ref??????|?rows????|?Extra????
+----+-------------+-------+--------+-------------+---------+---------+---------------+---------+-+
|??1?|?SIMPLE??????|?a?????|?ALL????|?idx_orderid?|?NULL????|?NULL????|?NULL????|?1967647?|?Using?filesort?|
|??1?|?SIMPLE??????|?o?????|?eq_ref?|?PRIMARY?????|?PRIMARY?|?122?????|?a.orderid?|???????1?|?NULL???????????|
+----+-------------+-------+--------+---------+---------+---------+-----------------+---------+-+

由于 is_reply 只有0和1兩種狀態,我們按照下面的方法重寫后,執行時間從1.58秒降低到2毫秒。

SELECT?*?
FROM???((SELECT?*
?????????FROM???my_order?o?
????????????????INNER?JOIN?my_appraise?a?
????????????????????????ON?a.orderid?=?o.id?
???????????????????????????AND?is_reply?=?0?
?????????ORDER??BY?appraise_time?DESC?
?????????LIMIT??0,?20)?
????????UNION?ALL?
????????(SELECT?*
?????????FROM???my_order?o?
????????????????INNER?JOIN?my_appraise?a?
????????????????????????ON?a.orderid?=?o.id?
???????????????????????????AND?is_reply?=?1?
?????????ORDER??BY?appraise_time?DESC?
?????????LIMIT??0,?20))?t?
ORDER??BY??is_reply?ASC,?
??????????appraisetime?DESC?
LIMIT??20;?

5、EXISTS語句

MySQL 對待 EXISTS 子句時,仍然采用嵌套子查詢的執行方式。如下面的 SQL 語句:

SELECT?*
FROM???my_neighbor?n?
???????LEFT?JOIN?my_neighbor_apply?sra?
??????????????ON?n.id?=?sra.neighbor_id?
?????????????????AND?sra.user_id?=?'xxx'?
WHERE??n.topic_status?<?4?
???????AND?EXISTS(SELECT?1?
??????????????????FROM???message_info?m?
??????????????????WHERE??n.id?=?m.neighbor_id?
?????????????????????????AND?m.inuser?=?'xxx')?
???????AND?n.topic_type?<>?5?

執行計劃為:

+----+--------------------+-------+------+-----+------------------------------------------+---------+-------+---------+?-----+
|?id?|?select_type????????|?table?|?type?|?possible_keys?????|?key???|?key_len?|?ref???|?rows????|?Extra???|
+----+--------------------+-------+------+?-----+------------------------------------------+---------+-------+---------+?-----+
|??1?|?PRIMARY????????????|?n?????|?ALL??|??|?NULL?????|?NULL????|?NULL??|?1086041?|?Using?where???????????????????|
|??1?|?PRIMARY????????????|?sra???|?ref??|??|?idx_user_id?|?123?????|?const?|???????1?|?Using?where??????????|
|??2?|?DEPENDENT?SUBQUERY?|?m?????|?ref??|??|?idx_message_info???|?122?????|?const?|???????1?|?Using?index?condition;?Using?where?|
+----+--------------------+-------+------+?-----+------------------------------------------+---------+-------+---------+?-----+

去掉 exists 更改為 join,能夠避免嵌套子查詢,將執行時間從1.93秒降低為1毫秒。

SELECT?*
FROM???my_neighbor?n?
???????INNER?JOIN?message_info?m?
???????????????ON?n.id?=?m.neighbor_id?
??????????????????AND?m.inuser?=?'xxx'?
???????LEFT?JOIN?my_neighbor_apply?sra?
??????????????ON?n.id?=?sra.neighbor_id?
?????????????????AND?sra.user_id?=?'xxx'?
WHERE??n.topic_status?<?4?
???????AND?n.topic_type?<>?5?

新的執行計劃:

+----+-------------+-------+--------+?-----+------------------------------------------+---------+?-----+------+?-----+
|?id?|?select_type?|?table?|?type???|?possible_keys?????|?key???????|?key_len?|?ref???|?rows?|?Extra?????????????????|
+----+-------------+-------+--------+?-----+------------------------------------------+---------+?-----+------+?-----+
|??1?|?SIMPLE??????|?m?????|?ref????|?|?idx_message_info???|?122?????|?const????|????1?|?Using?index?condition?|
|??1?|?SIMPLE??????|?n?????|?eq_ref?|?|?PRIMARY???|?122?????|?ighbor_id?|????1?|?Using?where??????|
|??1?|?SIMPLE??????|?sra???|?ref????|?|?idx_user_id?|?123?????|?const?????|????1?|?Using?where???????????|
+----+-------------+-------+--------+?-----+------------------------------------------+---------+?-----+------+?-----+

6、條件下推

外部查詢條件不能夠下推到復雜的視圖或子查詢的情況有:

1、聚合子查詢; 2、含有 LIMIT 的子查詢; 3、UNION 或 UNION ALL 子查詢; 4、輸出字段中的子查詢;

如下面的語句,從執行計劃可以看出其條件作用于聚合子查詢之后:

SELECT?*?
FROM???(SELECT?target,?
???????????????Count(*)?
????????FROM???operation?
????????GROUP??BY?target)?t?
WHERE??target?=?'rm-xxxx'?

+----+-------------+------------+-------+---------------+-------------+---------+-------+------+-------------+
|?id?|?select_type?|?table??????|?type??|?possible_keys?|?key?????????|?key_len?|?ref???|?rows?|?Extra???????|
+----+-------------+------------+-------+---------------+-------------+---------+-------+------+-------------+
|??1?|?PRIMARY?????|?<derived2>?|?ref???|?<auto_key0>???|?<auto_key0>?|?514?????|?const?|????2?|?Using?where?|
|??2?|?DERIVED?????|?operation??|?index?|?idx_4?????????|?idx_4???????|?519?????|?NULL??|???20?|?Using?index?|
+----+-------------+------------+-------+---------------+-------------+---------+-------+------+-------------+

確定從語義上查詢條件可以直接下推后,重寫如下:

SELECT?target,?
???????Count(*)?
FROM???operation?
WHERE??target?=?'rm-xxxx'?
GROUP??BY?target

執行計劃變為:

+----+-------------+-----------+------+---------------+-------+---------+-------+------+--------------------+
|?id?|?select_type?|?table?|?type?|?possible_keys?|?key?|?key_len?|?ref?|?rows?|?Extra?|
+----+-------------+-----------+------+---------------+-------+---------+-------+------+--------------------+
|?1?|?SIMPLE?|?operation?|?ref?|?idx_4?|?idx_4?|?514?|?const?|?1?|?Using?where;?Using?index?|
+----+-------------+-----------+------+---------------+-------+---------+-------+------+--------------------+

關于 MySQL 外部條件不能下推的詳細解釋說明請參考以前文章:MySQL · 性能優化 · 條件下推到物化表 http://mysql.taobao.org/monthly/2016/07/08

7、提前縮小范圍

先上初始 SQL 語句:

SELECT?*?
FROM???my_order?o?
???????LEFT?JOIN?my_userinfo?u?
??????????????ON?o.uid?=?u.uid
???????LEFT?JOIN?my_productinfo?p?
??????????????ON?o.pid?=?p.pid?
WHERE??(?o.display?=?0?)?
???????AND?(?o.ostaus?=?1?)?
ORDER??BY?o.selltime?DESC?
LIMIT??0,?15?

該SQL語句原意是:先做一系列的左連接,然后排序取前15條記錄。從執行計劃也可以看出,最后一步估算排序記錄數為90萬,時間消耗為12秒。

+----+-------------+-------+--------+---------------+---------+---------+-----------------+--------+----------------------------------------------------+
|?id?|?select_type?|?table?|?type???|?possible_keys?|?key?????|?key_len?|?ref?????????????|?rows???|?Extra??????????????????????????????????????????????|
+----+-------------+-------+--------+---------------+---------+---------+-----------------+--------+----------------------------------------------------+
|??1?|?SIMPLE??????|?o?????|?ALL????|?NULL??????????|?NULL????|?NULL????|?NULL????????????|?909119?|?Using?where;?Using?temporary;?Using?filesort???????|
|??1?|?SIMPLE??????|?u?????|?eq_ref?|?PRIMARY???????|?PRIMARY?|?4???????|?o.uid?|??????1?|?NULL???????????????????????????????????????????????|
|??1?|?SIMPLE??????|?p?????|?ALL????|?PRIMARY???????|?NULL????|?NULL????|?NULL????????????|??????6?|?Using?where;?Using?join?buffer?(Block?Nested?Loop)?|
+----+-------------+-------+--------+---------------+---------+---------+-----------------+--------+----------------------------------------------------+

由于最后 WHERE 條件以及排序均針對最左主表,因此可以先對 my_order 排序提前縮小數據量再做左連接。SQL 重寫后如下,執行時間縮小為1毫秒左右。

SELECT?*?
FROM?(
SELECT?*?
FROM???my_order?o?
WHERE??(?o.display?=?0?)?
???????AND?(?o.ostaus?=?1?)?
ORDER??BY?o.selltime?DESC?
LIMIT??0,?15
)?o?
?????LEFT?JOIN?my_userinfo?u?
??????????????ON?o.uid?=?u.uid?
?????LEFT?JOIN?my_productinfo?p?
??????????????ON?o.pid?=?p.pid?
ORDER?BY??o.selltime?DESC
limit?0,?15

再檢查執行計劃:子查詢物化后(select_type=DERIVED)參與 JOIN。雖然估算行掃描仍然為90萬,但是利用了索引以及 LIMIT 子句后,實際執行時間變得很小。

+----+-------------+------------+--------+---------------+---------+---------+-------+--------+----------------------------------------------------+
|?id?|?select_type?|?table??????|?type???|?possible_keys?|?key?????|?key_len?|?ref???|?rows???|?Extra??????????????????????????????????????????????|
+----+-------------+------------+--------+---------------+---------+---------+-------+--------+----------------------------------------------------+
|??1?|?PRIMARY?????|?<derived2>?|?ALL????|?NULL??????????|?NULL????|?NULL????|?NULL??|?????15?|?Using?temporary;?Using?filesort????????????????????|
|??1?|?PRIMARY?????|?u??????????|?eq_ref?|?PRIMARY???????|?PRIMARY?|?4???????|?o.uid?|??????1?|?NULL???????????????????????????????????????????????|
|??1?|?PRIMARY?????|?p??????????|?ALL????|?PRIMARY???????|?NULL????|?NULL????|?NULL??|??????6?|?Using?where;?Using?join?buffer?(Block?Nested?Loop)?|
|??2?|?DERIVED?????|?o??????????|?index??|?NULL??????????|?idx_1???|?5???????|?NULL??|?909112?|?Using?where????????????????????????????????????????|
+----+-------------+------------+--------+---------------+---------+---------+-------+--------+----------------------------------------------------+

8、中間結果集下推

再來看下面這個已經初步優化過的例子(左連接中的主表優先作用查詢條件):

SELECT????a.*,?
??????????c.allocated?
FROM??????(?
??????????????SELECT???resourceid?
??????????????FROM?????my_distribute?d?
???????????????????WHERE????isdelete?=?0?
???????????????????AND??????cusmanagercode?=?'1234567'?
???????????????????ORDER?BY?salecode?limit?20)?a?
LEFT?JOIN?
??????????(?
??????????????SELECT???resourcesid,?sum(ifnull(allocation,?0)?*?12345)?allocated?
??????????????FROM?????my_resources?
???????????????????GROUP?BY?resourcesid)?c?
ON????????a.resourceid?=?c.resourcesid

那么該語句還存在其它問題嗎?不難看出子查詢 c 是全表聚合查詢,在表數量特別大的情況下會導致整個語句的性能下降。

其實對于子查詢 c,左連接最后結果集只關心能和主表 resourceid 能匹配的數據。因此我們可以重寫語句如下,執行時間從原來的2秒下降到2毫秒。

SELECT????a.*,?
??????????c.allocated?
FROM??????(?
???????????????????SELECT???resourceid?
???????????????????FROM?????my_distribute?d?
???????????????????WHERE????isdelete?=?0?
???????????????????AND??????cusmanagercode?=?'1234567'?
???????????????????ORDER?BY?salecode?limit?20)?a?
LEFT?JOIN?
??????????(?
???????????????????SELECT???resourcesid,?sum(ifnull(allocation,?0)?*?12345)?allocated?
???????????????????FROM?????my_resources?r,?
????????????????????????????(?
?????????????????????????????????????SELECT???resourceid?
?????????????????????????????????????FROM?????my_distribute?d?
?????????????????????????????????????WHERE????isdelete?=?0?
?????????????????????????????????????AND??????cusmanagercode?=?'1234567'?
?????????????????????????????????????ORDER?BY?salecode?limit?20)?a?
???????????????????WHERE????r.resourcesid?=?a.resourcesid?
???????????????????GROUP?BY?resourcesid)?c?
ON????????a.resourceid?=?c.resourcesid

但是子查詢 a 在我們的SQL語句中出現了多次。這種寫法不僅存在額外的開銷,還使得整個語句顯的繁雜。使用 WITH 語句再次重寫:

WITH?a?AS?
(?
?????????SELECT???resourceid?
?????????FROM?????my_distribute?d?
?????????WHERE????isdelete?=?0?
?????????AND??????cusmanagercode?=?'1234567'?
?????????ORDER?BY?salecode?limit?20)
SELECT????a.*,?
??????????c.allocated?
FROM??????a?
LEFT?JOIN?
??????????(?
???????????????????SELECT???resourcesid,?sum(ifnull(allocation,?0)?*?12345)?allocated?
???????????????????FROM?????my_resources?r,?
????????????????????????????a?
???????????????????WHERE????r.resourcesid?=?a.resourcesid?
???????????????????GROUP?BY?resourcesid)?c?
ON????????a.resourceid?=?c.resourcesid

總結

數據庫編譯器產生執行計劃,決定著SQL的實際執行方式。但是編譯器只是盡力服務,所有數據庫的編譯器都不是盡善盡美的。

上述提到的多數場景,在其它數據庫中也存在性能問題。了解數據庫編譯器的特性,才能避規其短處,寫出高性能的SQL語句。

程序員在設計數據模型以及編寫SQL語句時,要把算法的思想或意識帶進來。

編寫復雜SQL語句要養成使用 WITH 語句的習慣。簡潔且思路清晰的SQL語句也能減小數據庫的負擔 。

本文來自互聯網用戶投稿,該文觀點僅代表作者本人,不代表本站立場。本站僅提供信息存儲空間服務,不擁有所有權,不承擔相關法律責任。
如若轉載,請注明出處:http://www.pswp.cn/news/272172.shtml
繁體地址,請注明出處:http://hk.pswp.cn/news/272172.shtml
英文地址,請注明出處:http://en.pswp.cn/news/272172.shtml

如若內容造成侵權/違法違規/事實不符,請聯系多彩編程網進行投訴反饋email:809451989@qq.com,一經查實,立即刪除!

相關文章

變頻器按啟動沒反應_起重機軟啟動柜晶閘管損壞維修幾大故障

缺相保護功能&#xff1a;工作時&#xff0c;軟起動器隨時檢測三相線電流的變化&#xff0c;一旦發生斷流&#xff0c;即可作出缺相保護反應。過熱保護功能&#xff1a;通過軟起動器內部熱繼電器檢測晶閘管散熱器的溫度&#xff0c;一旦散熱器溫度超過允許值后自動關斷晶閘管&a…

Redis 的各項功能解決了哪些問題?

作者丨blackheart先看一下Redis是一個什么東西官方簡介解釋到&#xff1a;Redis是一個基于BSD開源的項目&#xff0c;是一個把結構化的數據放在內存中的一個存儲系統&#xff0c;你可以把它作為數據庫&#xff0c;緩存和消息中間件來使用。同時支持strings&#xff0c;lists&am…

python datetime用法_python datetime用法學習筆記

一、主要思路&#xff1a;1.把表示時間的str轉換為datetime對象2.操作datetime對象輸出期望的時間格式二、把表示時間的str轉換為datetime對象語法&#xff1a;datetime.strptime(date_str, format)示例&#xff1a;date_str "2017-06-23 21:08:12"date_obj dateti…

RocketMQ集成SpringBoot

RocketMQ集成SpringBoot RocketMQ總體架構 RocketMQ基本特性

協議(Protocol)與委托代理(Delegate)

協議(Protocol)的作用&#xff1a; 1. 規范接口&#xff0c;用來定義一套公用的接口&#xff1b; 2. 約束或篩選對象。 代理(Delegate)&#xff1a; 它本身是一種設計模式&#xff0c;委托一個對象<遵守協議>去做某件事情&#xff0c;目的是為了降低對象間的耦合度&#…

ASP.NET Core 2.2+Quartz.Net 實現Web定時任務

作者&#xff1a;Julian_醬鏈接&#xff1a;http://www.cnblogs.com/mi12205599/p/10361763.html作為一枚后端程序狗&#xff0c;項目實踐常遇到定時任務的工作&#xff0c;最容易想到的的思路就是利用Windows計劃任務/wndows service程序/Crontab程序等主機方法在主機上部署定…

lj245a引腳功能圖_ULN2003A引腳圖及功能-uln2003a原理

ULN是集成達林頓管IC&#xff0c;內部還集成了一個消線圈反電動勢的二極管&#xff0c;可用來驅動繼電器。它是雙列16腳封裝,NPN晶體管矩陣,最大驅動電壓50V,電流500mA,輸入電壓5V,適用于TTL COMS,由達林頓管組成驅動電路。ULN是集成達林頓管IC,內部還集成了一個消線圈反電動勢…

RocketMQ核心概念

生產者Producer和消費者Consumer NameServer作用 Broker和Topic

交叉編譯、軟硬鏈接

什么是交叉編譯&#xff1f;交叉編譯是一個行為&#xff0c;是在一個平臺上生成另一個平臺上的可執行代碼。 本地編譯&#xff1a;本地編譯可以理解為&#xff0c;在當前編譯平臺下&#xff0c;編譯出來的程序只能放到當前平臺下運行。平時我們常見的軟件開發&#xff0c;都是…

掃地機器人狗毛_掃地機器人:我是清理狗毛的!不是清理狗屎的!

原標題&#xff1a;掃地機器人&#xff1a;我是清理狗毛的&#xff01;不是清理狗屎的&#xff01;掃地機器人可以清潔地面和角落里的垃圾&#xff0c;對于滿是毛毛的鏟屎官家庭來說&#xff0c;簡直就是福音吶&#xff01;不過最近&#xff0c;槽點卻有點多&#xff1a;家里買…

Linus下安裝maven

下載maven安裝包 wget http://mirror.bit.edu.cn/apache/maven/binaries/apache-maven-3.2.2-bin.tar.gz 解壓 tar -zxvf apache-maven-3.2.2-bin.tar.gz 配置maven環境變量 查看maven解壓后安裝包目錄 vi /etc/profile 進入最底部&#xff0c;按insert,添加環境變量&#x…

linux內核開發基礎(linux內核源碼、樹莓派源碼編譯、SD卡掛載)

首先下載樹莓派linux內核源碼&#xff1a; 下載網址&#xff1a;https://github.com/raspberrypi/linux在樹莓派使用指令&#xff1a;uname -r查看當前樹莓派的版本號&#xff0c;然后選擇對應的linux內核版本號進行下載。 將linux內核源碼從共享文件夾拷貝到SYSTEM文件夾&am…

Linux實時查看進程命令top筆記

top命令是Linux下常用的性能分析工具&#xff0c;能夠實時顯示Linux系統中各個進程的資源占用狀況&#xff0c;類似于Windows系統的任務管理器功能。 top命令的語法格式&#xff1a; top [-] [d] [p] [q] [c] [C] [S] [s] [n] 常用參數說明 d 指定每兩次屏幕信息刷新之間的時間…

C#基礎之Equals和Dispose

1.equal()和運算符的區別 由于C#中有值類型和引用類型&#xff0c;那么相等也分為值相等和引用相等。先來看一個值類型簡單的例子&#xff0c;順便也寫了string類型的比較。 static void Main(string[] args){int n1 1;int n2 1;Console.WriteLine(n1n2);Console.WriteLine(n…

mysql 時間chuo格式化_Mysql時間戳與時間格式轉換問題匯總

一、時間戳的定義時間戳指格林威治時間1970年01月01日00時00分00秒起至現在的總秒數。二、時間格式轉時間戳的方法使用unix_timestamp函數&#xff0c;如下&#xff1a;SELECT UNIX_TIMESTAMP();//返回當前時間戳SELECT UNIX_TIMESTAMP(2017-12-16 17:29:56) AS t; //返回指定時…

文件系統(文件系統目錄結構、磁盤分區、虛擬文件系統)、linux內核結構框圖

什么是文件系統&#xff1f; 常規認知就是根目錄下那些文件&#xff0c;但其實并不是那樣。文件系統是操作系統用于明確存儲設備&#xff08;常見的是磁盤&#xff0c;也有基于NAND Flash的固態硬盤&#xff09;或分區上的文件的方法和數據結構&#xff1b;即在存儲設備上組織…

dockerq啟動報錯(iptables failed: iptables --wait -t nat -A DOCKER -p tcp -d 0/0 --dport 9876 -j DNAT --t

docker啟動報錯 (iptables failed: iptables --wait -t nat -A DOCKER -p tcp -d 0/0 --dport 9876 -j DNAT --to-destination 172.17.0.2:9876 ! -i docker0: iptables: No chain/target/match by that name. 解決方案&#xff1a;重啟docker systemctl restart docker

Linux進程終止命令kill或kill all?筆記

在linux命令下&#xff0c;如果需要終止某個進程&#xff0c;可以使用kill或者killall等命令來實現。終止命令的原理都是向linux內核發送一個系統操作的信號以及某個進程的ID&#xff0c;然后系統內核會根據指定的進程ID進行相應的處理。 kill命令典型的用法&#xff1a;首先使…

linux驅動(驅動編譯、字符設備驅動框架、交叉編譯樹莓派驅動、樹莓派驅動本地編譯)

什么是驅動&#xff1a; 驅動就是對底層硬件設備的操作進行封裝&#xff0c;并向上層提供函數接口。 設備分類&#xff1a; linux系統將設備分為3類&#xff1a;字符設備、塊設備、網絡設備。 字符設備&#xff1a;指只能一個字節一個字節讀寫的設備&#xff0c;不能隨機讀取…