外文翻译--关于数据库死锁的知识
mysql死锁的原因和处理方法

mysql死锁的原因和处理方法MySQL死锁的原因和处理方法。
MySQL作为一种常用的关系型数据库管理系统,在数据处理过程中可能会出现死锁的情况。
死锁是指两个或多个事务在执行过程中,因争夺资源而造成的互相等待的现象,导致它们都无法继续执行下去。
本文将就MySQL死锁的原因和处理方法进行详细介绍。
一、死锁的原因。
1. 事务并发执行。
在MySQL中,多个事务同时对相同的数据进行读写操作时,就有可能发生死锁。
这是因为每个事务在执行过程中会锁定所涉及的数据,当多个事务之间出现循环等待的情况时,就会导致死锁的发生。
2. 锁的粒度过大。
如果在事务中对数据进行操作时,锁的粒度过大,即锁定了过多的数据,就会增加死锁的概率。
因为锁的粒度过大会导致不同的事务之间争夺同一把锁,从而增加了死锁的可能性。
3. 事务持有锁的时间过长。
当事务持有锁的时间过长时,就会增加其他事务发生死锁的可能。
因为其他事务需要等待较长的时间才能获取到所需的锁,从而增加了死锁的风险。
二、死锁的处理方法。
1. 设置合理的事务隔离级别。
在MySQL中,可以通过设置合理的事务隔离级别来减少死锁的发生。
通过设置较低的隔禅级别,可以减少事务对数据的锁定,从而降低死锁的概率。
2. 优化数据库索引。
通过优化数据库索引,可以减少事务对数据的锁定时间,从而降低死锁的风险。
合理的索引设计可以减少数据的扫描次数,提高数据的访问效率,从而减少死锁的可能性。
3. 控制事务的大小和时长。
在编写程序时,应尽量控制事务的大小和持有锁的时间,避免长时间的锁定操作。
可以将大的事务拆分成多个小的事务,并尽量减少事务的持有时间,从而降低死锁的概率。
4. 监控和处理死锁。
在MySQL中,可以通过设置死锁检测和处理机制来监控和处理死锁。
当发生死锁时,可以通过自动或手动的方式来解除死锁,从而保证数据库的正常运行。
结语。
通过以上介绍,我们可以看到MySQL死锁的原因和处理方法。
在实际应用中,我们应该充分理解死锁的原因,采取合理的措施来预防和处理死锁,从而保证数据库系统的稳定和可靠运行。
5分钟快速了解数据库死锁产生的场景和解决方法

5分钟快速了解数据库死锁产⽣的场景和解决⽅法前⾔加锁(Locking)是数据库在并发访问时保证数据⼀致性和完整性的主要机制。
任何事务都需要获得相应对象上的锁才能访问数据,读取数据的事务通常只需要获得读锁(共享锁),修改数据的事务需要获得写锁(排他锁)。
当两个事务互相之间需要等待对⽅释放获得的资源时,如果系统不进⾏⼲预则会⼀直等待下去,也就是进⼊了死锁(deadlock)状态。
以下内容适⽤于各种常见的数据库管理系统,包括 Oracle、MySQL、Microsoft SQL Server 以及 PostgreSQL等。
死锁是如何产⽣的?演⽰死锁的产⽣⾮常简单,我们只需要创建⼀个包含两⾏数据的简单⽰例表:CREATE TABLE t_lock(id int PRIMARY KEY, col int);INSERT INTO t_lock VALUES (1, 100);INSERT INTO t_lock VALUES (2, 200);SELECT * FROM t_lock;id|col|--+---+1|100|2|200|如果我们在不同事务中以不同的顺序修改数据,就可能引起事务之间的相互等待。
⼀个事务等待另⼀个事务释放资源不会产⽣什么问题,但是如果两个事务互相等待对⽅的资源,数据库管理系统只有两个选择:⽆限等待或者中⽌⼀个事务并让另⼀个事务成功执⾏。
显然⽆限等待不是解决问题的⽅法,因此数据库通常是等待⼀定时间之后中⽌其中⼀个事务。
以下是⼀个死锁的演⽰案例:事务⼀事务⼆备注BEGIN;BEGIN;分别开始两个事务UPDATE t_lock SET col = col + 100 WHERE id = 1;UPDATE t_lockSET col = col + 200WHERE id = 2;事务⼀修改 id=1 的数据,事务⼆修改 id=2 的数据UPDATE t_lockSET col = col + 100WHERE id = 2;事务⼀修改 id=2 的数据,需要等待事务⼆释放写锁等待中…UPDATE t_lockSET col = col + 200WHERE id = 1;事务⼆修改 id=1 的数据,需要等待事务⼀释放写锁死锁死锁数据库检测到死锁,选择中⽌⼀个事务更新成功返回错误对于 MySQL InnoDB,默认启⽤了 innodb_deadlock_detect 选项,事务⼆返回以下错误信息:ERROR 1213 (40001): Deadlock found when trying to get lock; try restarting transaction如果我们禁⽤ InnoDB 死锁检测选项,事务⼆在等待 50 s(innodb_lock_wait_timeout )后提⽰等待超时:ERROR 1205 (HY000): Lock wait timeout exceeded; try restarting transactionOracle 检测到死锁时返回以下错误:ORA-00060: 等待资源时检测到死锁Microsoft SQL Server 检测到死锁时返回的错误如下消息 1205,级别 13,状态 51,第 7 ⾏事务(进程 ID 67)与另⼀个进程被死锁在锁资源上,并且已被选作死锁牺牲品。
死锁的基本概念汇总

死锁预防
破坏“循环等待”条件 采用资源有序分配法: 把系统中所有资源编号,进程在申请资 源时必须严格按资源编号的递增次序进 行,否则操作系统不予分配 (哲学家就餐问题)
破坏“循环等待”条件
例如:1,2,3,…,10 P1: 申请1 申请3 申请9 … P2: 申请1 申请2 申请5 … P3 …… P10
安全状态与不安全状态
安全状态: 如果存在一个由系统中所有进程构成的 安全序列P1,…Pn,则系统处于安全状 态
死锁避免
安全序列: 一个进程序列{P1,…,Pn}是安全的, 如果对于每一个进程Pi(1≤i≤n),它 以后尚需要的资源量不超过系统当前剩 余资源量与所有进程Pj (j < i )当前占 有资源量之和,系统处于安全状态 (安全状态一定是没有死锁发生的)
(3)假设系统分配了资源,则有: Available:=Available-Request[i]; Allocation[i]:= Allocation[i]+Request[i]; Need[i]:=Need[i]-Request[i] 若系统新状态是安全的,则分配完成 若系统新状态是不安全的,则恢复原状态, 进程等待
关于死锁的一些结论
参与死锁的进程最少是两个 (两个以上进程才会出现死锁) 参与死锁的进程至少有两个已经占有资源 参与死锁的所有进程都在等待资源 参与死锁的进程是当前系统中所有进程的子集
注:如果死锁发生,会浪费大量系统资源, 甚至导致系统崩溃
2. 资源
永久性资源:可以被多个进程多次使用 (可再用资源) * 可抢占资源 不可抢占资源 临时性资源:只可使用一次的资源;如信 号量,中断信号,同步信号等(可消耗性 资源) “申请--分配--使用--释放”模式
死锁

where b.id1 in
(select /*+ NO_MERGE(d) NO_MERGE(e) */ distinct e.id1
from v$session d, v$lock e
where d.lockwait = e.kaddr)
在ORACLE中,为了保证数据的一致性,在对数据库中的数据进行操作时,系统会进行对数据相应的锁定。
当程序对所做的修改进行提交(commit)或回滚后(rollback)后,锁住的资源便会得到释放,从而允许其它用户进行操作。
但是,有时,由于程序中的原因,锁住资源后长时间未对其工作进行提交;或是由于用户的原因,如调出需要修改的数据后,未及时修改并提交,而是放置于一旁;或是由于客户服务器方式中客户端出现"死机",而服务器端却并未检测到,从而造成锁定的资源未被及时释放,影响到其它用户的操作。
select /*+ NO_MERGE(a) NO_MERGE(b) NO_MERGE(c) */ 'Wait' "Status", ername, a.machine, a.sid, a.serial#, st_call_et "Seconds", b.id1, c.sql_text "SQL"
参考资料:Oracle8 Administrator's Guide, Release 8.0
Oracle8 Tuning, Release 8.0
ORACLE锁具体分为以下几类:
1.按用户与系统划分,可以分为自动锁与显示锁
自动锁:当进行一项数据库操作时,缺省情况下,系统自动为此数据库操作获得所有有必要的锁。
数据库死锁解决方案

数据库死锁解决方案介绍在多用户系统中,数据库死锁是一个常见的问题。
当两个或多个事务同时请求访问共享资源时,这些事务可能会相互等待对方释放资源,导致死锁的发生。
本文将介绍数据库死锁的概念、原因以及解决方案。
数据库死锁的概念数据库死锁是指两个或多个事务因互相等待对方释放资源而无法继续执行的状态。
具体来说,当一个事务请求占用了一个资源的排他锁(X锁),而另一个事务请求占用了同一个资源的共享锁(S锁),就可能发生死锁。
数据库死锁的原因数据库死锁通常是由以下几个原因引起的:1.事务并发执行:在多用户系统中,多个事务可以同时执行。
如果这些事务同时操作相同的数据,就可能导致死锁。
2.锁竞争:当多个事务同时请求对同一个资源的锁时,就会发生锁竞争。
如果这些事务同时请求对方已经持有的锁,就可能导致死锁。
3.持有和等待:一个事务在等待其他事务释放资源时,仍然持有自己占用的资源,这就可能导致死锁。
4.循环等待:当多个事务之间存在循环依赖关系时,就可能发生循环等待,从而导致死锁。
数据库死锁解决方案在面对数据库死锁问题时,我们可以采取以下几种解决方案:1. 死锁检测和回滚数据库系统可以通过死锁检测算法检测死锁的发生。
一旦检测到死锁,系统可以选择回滚其中一个事务来解除死锁。
回滚操作会取消该事务已经执行的操作,使得其他事务可以继续执行。
2. 超时设置和重试数据库系统可以为每个事务设置超时时间。
当一个事务等待时间超过设定的超时时间时,系统可以选择终止该事务,释放其占用的资源,并重新执行该事务。
这种方法可以减少死锁的持续时间,提高系统的可用性。
3. 锁粒度优化锁粒度是指对数据进行锁定的程度。
如果锁粒度过大,会导致并发性能下降。
反之,如果锁粒度过小,会增加死锁的风险。
因此,通过调整锁粒度来优化锁管理是减少死锁的一种有效方法。
可以通过采用行级锁或表级锁来平衡并发性能和死锁风险。
4. 事务隔离级别设置数据库事务的隔离级别决定了资源锁定的方式。
数据库锁机制与死锁处理技巧总结

数据库锁机制与死锁处理技巧总结数据库锁机制和死锁处理技巧总结数据库是存储和管理数据的重要工具,而锁机制是一种保证数据一致性和并发性的关键技术。
在多个用户同时访问数据库时,可能会导致死锁的出现,因此,适当的死锁处理技巧也是非常重要的。
本文将对数据库锁机制和死锁处理技巧进行总结。
1. 数据库锁机制1.1 共享锁共享锁(Shared Lock)是一种保证并发性的锁机制,多个用户可以同时获取共享锁,用于读取操作。
共享锁不会阻塞其他用户的共享锁获取请求,但会阻塞独占锁的获取请求。
1.2 独占锁独占锁(Exclusive Lock)是一种用于保证数据一致性的锁机制,只有一个用户能够获取独占锁,用于写操作。
独占锁会阻塞其他用户的共享锁和独占锁获取请求。
1.3 行级锁行级锁(Row-Level Locks)是一种对数据库表中的行进行锁定的机制,可以在并发访问时提高性能。
行级锁只会锁定所需的行,而不是整个表,从而减少了数据库锁冲突和死锁的可能性。
1.4 锁粒度锁粒度决定了锁的范围,从而影响了并发性和锁冲突的可能性。
通常有三种锁粒度:- 表级锁(Table-Level Locks):锁定整个表,在高并发环境下性能较差。
- 页面级锁(Page-Level Locks):锁定数据库表的页面,在某些情况下性能较好。
- 行级锁(Row-Level Locks):锁定表中的行,可以提高并发性能,但可能增加锁冲突的可能性。
2. 死锁处理技巧2.1 死锁的概念死锁指的是两个或多个进程在互相等待对方占用的资源,从而导致进程之间无法继续进行的情况。
当多个进程竞争有限的资源时,死锁可能发生。
2.2 死锁的预防预防死锁是一种在设计数据库时考虑并发控制的重要方法。
以下是一些预防死锁的技巧:- 保持锁的有序性:按照统一的顺序获取和释放锁,避免循环等待。
- 减少锁持有时间:尽量缩短持有锁的时间,从而减少死锁的可能性。
- 使用超时机制:设定锁的超时时间,超过一定时间后自动释放锁。
死锁产生条件以及预防和处理算法

死锁产⽣条件以及预防和处理算法 ⼀、死锁的概念 在多道程序系统中,虽可借助于多个进程的并发执⾏,来改善系统的资源利⽤率,提⾼系统的吞吐量,但可能发⽣⼀种危险━━死锁。
所谓死锁(Deadlock),是指多个进程在运⾏中因争夺资源⽽造成的⼀种僵局(Deadly_Embrace),当进程处于这种僵持状态时,若⽆外⼒作⽤,它们都将⽆法再向前推进。
⼀组进程中,每个进程都⽆限等待被该组进程中另⼀进程所占有的资源,因⽽永远⽆法得到的资源,这种现象称为进程死锁,这⼀组进程就称为死锁进程。
⼆、死锁产⽣的原因 产⽣死锁的原因主要是: (1)因为系统资源不⾜。
(2)进程运⾏推进的顺序不合适。
(3)资源分配不当等。
如果系统资源充⾜,进程的资源请求都能够得到满⾜,死锁出现的可能性就很低,否则就会因争夺有限的资源⽽陷⼊死锁。
其次,进程运⾏推进顺序与速度不同,也可能产⽣死锁。
产⽣死锁的四个必要条件: (1)互斥条件:⼀个资源每次只能被⼀个进程使⽤。
(2)请求与保持条件:⼀个进程因请求资源⽽阻塞时,对已获得的资源保持不放。
(3)⾮抢占:进程已获得的资源,在末使⽤完之前,不能强⾏抢占。
(4)循环等待条件:若⼲进程之间形成⼀种头尾相接的循环等待资源关系。
三、死锁处理⽅法: (1)可使⽤协议以预防或者避免死锁,确保系统不会进⼊死锁状态; (2)可允许系统进⼊死锁状态,然后检测他,并加以恢复; (3)可忽视这个问题,认为死锁不可能发⽣在系统内部。
四、死锁预防 1、互斥:对于⾮共享资源,必须要有互斥条件; 2、占有并等待: 为了确保占有并等待条件不会出现在系统中,必须保证:当⼀个进程申请⼀个资源时,它不能占有其他资源。
⼀种可以使⽤的协议是每个进程在执⾏前申请并获得所有资源,可以实现通过要求申请资源的系统调⽤在所有的其他系统调⽤之前执⾏。
3、⾮抢占: 为了确保第三个条件不成⽴,可以使⽤如下协议:如果⼀个进程占有资源并申请另⼀个不能⽴即分配的资源,那么其现已分配资源都可被抢占; 4、循环等待: 为了确保循环等待条件不成⽴,⼀种可⾏的算法是:对所有资源进程排序,且要求每个进程按照递增顺序来申请进程。
死锁(ora-00060)以及死锁相关的知识点

死锁(ora-00060)以及死锁相关的知识点最近碰到一个死锁的问题:ora-00060 deadlock detected while waiting for resource (ora-00060 等待资源时检测到死锁)查看udump(SQL> show parameter USER_DUMP_DEST; 查看该目录)下面的trace,发现如下日志:*** 2009-08-13 10:53:11.656*** SERVICE NAME:(his3) 2009-08-13 10:53:11.593*** SESSION ID:(130.3437) 2009-08-13 10:53:11.593DEADLOCK DETECTED[Transaction Deadlock]Current SQL statement for this session:UPDATE MY_KUCUN1 SET KUCUNSL = KUCUNSL - :B3 WHERE YINGYONGID = :B2 AND JIAGEID = :B1----- PL/SQL Call Stack -----object line objecthandle number name33DF6A44 6002 package body HIS3KS.PKG_MY_JINXIAOCUN2FD11B48 1 anonymous blockThe following deadlock is not an ORACLE error. It is adeadlock due to user error in the design of an applicationor from issuing incorrect ad-hoc SQL. The followinginformation may aid in determining the deadlock:Deadlock graph:---------Blocker(s)-------- ---------Waiter(s)---------Resource Name process session holds waits process session holds waitsTX-000b001c-00005019 38 130 X 19 106 XTX-00010025-000100ee 19 106 X 38 130 Xsession 130: DID 0001-0026-00008297 session 106: DID 0001-0013-00004EB8 session 106: DID 0001-0013-00004EB8 session 130: DID 0001-0026-00008297 Rows waited on:Session 106: obj - rowid = 0000E1AB - AAAOGrAAXAAAJHQAAT(dictionary objn - 57771, file - 23, block - 37328, slot - 19)Session 130: obj - rowid = 0000E1AB - AAAOGrAAXAAAJHQAAZ(dictionary objn - 57771, file - 23, block - 37328, slot - 25)Information on the OTHER waiting sessions:Session 106:pid=19 serial=671 audsid=309881 user: 64/HIS3KSO/S info: user: NT AUTHORITY\ANONYMOUS LOGON, term: MEDIINFO-QA2, ospid: 6708:6612, machine: WORKGROUP\MEDIINFO-QA2program: cicsas.exeapplication name: cicsas.exe, hash value=0Current SQL Statement:UPDATE MY_KUCUN1 SET KUCUNSL = KUCUNSL - :B3 WHERE YINGYONGID = :B2 AND JIAGEID = :B1End of information on OTHER waiting sessions.================================================== =几个重要的信息就是锁的类型是X,说明是DML语句导致的行级排他锁,涉及到两个Session:130和106。
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外文翻译About the database of the knowledge of the deadlock Database itself provides lock management mechanism, but from a hand, database is the client applications "puppet", this is mainly because the client to the server has complete control of the gain of locks ability. The client in enquiries in the request and the way to query processing tend to have direct control, so, if we application design reasonable enough, then appear database is normal phenomenon dead lock.Below are listed some easy to have locked application examples:A, the client cancel inquires no roll back after practice.Most of the application is inquires often happens homework. However, users through the front desk the client application inquires the backend database, sometimes will cancel inquires for any variety of reasons. If the user to open the window after mouth query, because users find reflect crash or slow compelled to cancel the query. But, when the client when cancel inquires, if not add rollback transaction statement, then at this time, because the user has to the server sends the inquiry's request, so, the backend database involved in the table, all have been added L locked. So even if the user cancel after inquires, all in the affairs for the locks within will remain. At this point, if other users need to check on the table or the user to open the window through input inquires to query conditions to improve the system response speed occurs when the jam phenomenon.Second, the client not to get all the results of my query.Usually, the user will be sent to the server after queries, foreground application must be done at once extraction all the results do. If the application did not extract all the results trip, it produces a problem. For as long as the application did not withdraw promptly all the results, the lock may stay at table and block other users. Since the application has been submitted to the server will SQ statements, the application must be extracted all results do. If the application does not follow the principle words (such as because at that time and no oversight configuration), can't fundamentally solve congestion.Three, inquires the execution time too long.Some inquires a relatively long time will cost. As for the query design is not reasonable or query design to watch and record it is, will make inquires the execution time lengthen. If sometimes need to Update on users record or Delete operation, if the line is involved in it, you will get a lot of lock. These locks whether finally upgrade to watch the lock, can block other inquiries.So often, don't take long time running decision support search and online transaction processing inquires the mixed together.When database meet blocked, often need to check the application submitted to the SQL statement itself, and check and connection management, all the results do processing and other relevant application behavior. Usually, the lock for to avoid the conflict in the jam, the author has the following Suggestions.Suggest a: after the completion of the extraction of all query results do.Some applications in order to improve the response speed of the user inquires, will have the option of extraction need record. The "smart" looks very reasonable, but, but will cause more waste. Because inquires not timely and fruit extraction of words, the lock cannot be released. When others inquires the data, will be happening.So, the author suggest in application design, database query for record to the extraction of in time. Through other means, such as adding inquires the conditions, or the way backstage inquires, to improve the efficiency of the inquires. At the same time, in the application level set reasonable cache, and can also be very significantly improved query efficiency.Suggest two: in the transaction execution don't let the user input content.Although in the affairs of the process with sex, can let the user participation, in order to improve the interactivity. But, we don't recommend the database administrator tend to do so. Because if the user in affairs during the exec ution of the input and number, will extend the affairs of the execution time. Although people smarter, but the response speed still don't have a computer so fast. So, during the implementation of the user participation to let the process, will extend the a ffairs of waiting time. So unless there is a special needs, not in the application's execution process, reminds the user input parameters. Some affairs of the executive must parameters, best provide beforehand. If can through the variables in the parameters such as need to go in.Suggest three: make affairs as far as possible the brief.The author thinks that, database administrator should put some problem is simplified. When a need to many SQL statements to complete, might as well take the task decomposition. At the same time, it breaks down into some brief business affairs.If the database a product information table, its record number two million. Now in a management needs, the one-time change one of the one million five hundred thousand record. If through a change affairs, the time is long. If it involves cascade update it, is time the meeting is longer.In view of this situation, we can learn affairs brief words. If the product information, may have a product type field. So in the update data, can we not one-time updates. But through the product category fields to control, to record the iteration points. So every category of update firm consumption of time may be greatly reduces. So although operation, will need more steps. But, can effectively avoid to go to the occurrence of congestion, and improve the performance of the database. Suggest four: child inquires the and list box, had better not use at the same time.Sometimes in the application of design, through the list box can really improve user input speed and accuracy, but, if foreground application does not have buffer mechanism, you often can cause congestion.As in a order management system, may need frequent input sales representatives. In order to user input convenience, sales representative often design into a list box. Every time need to input, foreground application from the background of all sales representative inquires information (if the application is not involved in the cache). On one hand, the son of nature, would be speed query slow; Second, the list box have growth time operation of the inquiry. The two parties face touch together, may causethe application of improving the running time process query. And the other user queries, such as the system administrator need to maintain customer information, and cause congestion.So, in the application design, the child inquires the best less. And the child inquires the list box and use at the same time, more need to ban. If you can't avoid it, should be in application realize caching mechanism. That way, the applications need to sales representative information, will from application cache made, not every time to check the database.At the same time, can be in the list box design "to search" function. When there is a change to the user information, such as the system administrator to join a new sales representatives. In no again before inquires, because of their application is achieved in the cache data, so not just updated content. At this time, users will need to run to inquires the function, let the foreground application from a database query information again. This kind of design, can increase the list box and the son of the execution time inquires, effectively avoid congestion.Suggest five: in the set when cancel inquires back issues.Foreground application is designed, should allow users to a temporary change in idea, cancel the query. Such as user inquires the all product information, may feel response time is long, hard to bear. At this time, they will think of cancel inquires the. In this case, the application design need to design a cancel inquires the button. The user can in the process of inquires click this button cancel inquires at any time. Meanwhile, in the button affair, need to pay attention to join a rollback command. Let the database server can prompt to records or table to unlock.At the same time to the best lock or query timeout mechanism. This is largely because, sometimes also can cost a lot inquires user host to a large number of resources, and cause client crash. At this time, to be able to lock the inquires the or overtime mechanisms, namely in inquires after overtime, database server of related objects for automatic unlock. This is also the database administrator need to program developers negotiation of a problem.In addition, explicit database connection to take control in the concurrent users, is expected to full load next use application to bear ability test, use the link, each inquires to set use inquires and lock exceeds the overtime, these methods can effectively avoid the lock conflict obstruction. When database administrators found that blocking the symptoms, can from these aspect, looking for solutions.From the above analysis can see, SQL Server database lock is a double-edged sword. The security database data consistency at the same time, they will give the database caused some negative effect. How do these negative influence to the least, is our database administrators task. In application design, follow the advice above, can effectively solve the problems for the lock blockages, improve the performance of the database. Visible, to basically solve congestion problem, need database management personnel and program developers work together.中文关于数据库死锁的知识数据库本身提供了锁管理机制,但是从一方面,数据库客户端应用程序的“傀儡”,这主要是由于客户端到服务器的完全控制获得的锁的能力。