elasticsearch optimistic locking

First, the optimistic lock (optimistic locking) and pessimistic lock (pessimistic locking) is basically for data processing, that is, the terminology associated with the database, the purpose is to solve the concurrency of the related performance problems encountered in order to avoid data loss updates.Pessimistic lock

Lock (Locking)In the process of implementing business logic, it is often necessary to guarantee the exclusivity of data access. such as in the final settlement of the financial systemProcessing, we want to process the data for a cut-off point in time, and we don't want to be in the process of closing(may be a few seconds, or maybe a few hours), and the data will change again. At this point, we need to pass some machineSystem to ensure that this data i

the following to change the order status to "delivered: update order_table set status = 'shipping' where order_id = 001 In fact, we have made a detailed analysis of the optimistic lock practices and the pessimistic lock practices, Here, the definition of Wiki is referenced for more authoritative reference description. Http://en.wikipedia.org/wiki/Lock_%28database%29 There are mechanical ISMs employed to manage the actions of multiple conc

violation of data integrity when committing the operation. [1] Optimistic locking does not solve the problem of dirty reading.Optimistic lock applicationIntroduction to optimistic Locking:Optimistic lock (optimistic Locking) relative pessimistic lock,

violation of data integrity when committing the operation. [1] Optimistic locking does not solve the problem of dirty reading.Optimistic lock applicationIntroduction to optimistic Locking:Optimistic lock (optimistic Locking) relative pessimistic lock,

Pessimistic lock (pessimistic lock), as the name implies, is very pessimistic, every time to take the data when they think others will change, so every time when the data are locked, so that others want to take this data will block until it gets the lock. Traditional relational database in the use of a lot of this locking mechanism, such as row locks, table locks, read locks, write locks, etc., are in operation before the lock.optimistic Lock (

Tags: database optimistic lock pessimistic lock table level lock row level lockThe locks in the data are divided into two categories: pessimistic and optimistic, lock, table-level, row-level, and lock.Table-level locks such as:SELECT * from table with (HOLDLOCK) Other transactions can read the table but cannot update the deleteSELECT * from table with (Tablockx) Other transactions cannot read table, update

, two version numbers are the same WuSystem.out.println ("v1=" +stu1.getversion () + "--v2=" +stu2.getversion ()); - AboutTransaction tx1=session1.begintransaction (); $Stu1.setname ("Session1"); - Tx1.commit (); - //at this time, the two version number is different, one of the version number is incremented -System.out.println ("v1=" +stu1.getversion () + "--v2=" +stu2.getversion ()); A +Transaction tx2=session2.begintransaction (); theStu2.setname ("Session2"

As database administrators are required to scale their databases to handle the challenges of Web-basedAccess, B2B and e-commerce, faster hardware and more resources may only be a part of the solution.Poor locking strategies can cripple even the most well resource-backed applications. Optimistic LockingIs often over-looked by grouping TS and developers but may prove special useful for high transactionLoad da

Optimistic lock (optimistic Locking) relative pessimistic lock, optimistic locking mechanism adopted a more relaxed locking mechanism. Pessimistic locking relies on the lock mechanism o

The role of optimistic locking The main function of optimistic lock is to solve the problem caused by transaction concurrency. In contrast to pessimistic lock, the optimistic locking mechanism adopts a more relaxed locking mecha

Keywords:Aldsp Liquid Data Integration optimistic lock For more information about aldsp (BEA AquaLogic Data Services platformbea AquaLogic Data Services Platform), visit: http://dev2dev.bea.com.cn/products/aqudtpt/index1.html 1. You can set the properties of dataservices to control whether updates are allowed. 2. SDO uses Optimistic Locking to update relational

system) is conservative attitude, so throughout the process of data processing, to lock the state2. Optimistic lock: Assume that there will be no concurrency conflicts and only check for violation of data integrity when committing the operation. Optimistic locking does not solve the problem of dirty reading. Three, the realization of

This article will introduce you to the new Optimistic Locking feature of DB2 database 9, which enables DB2 to retrieve rows in a specific period of time and understand their last modification time, with good auxiliary effect. DB2 for z/OS customers are adding new and sophisticated data warehouse tasks to traditional OLTP. DBAs are challenging to support multiple systems and respond to application developers

; + Dependency>2. How do I turn on optimistic locking?I'm using JPA, so it's easy to add a field to the entity class and annotate @version.1 @Entity2 Public classAccount {3 4 //primary key, auto generated5 @Id6@GeneratedValue (strategy =Generationtype.auto)7 Private intID;8 9 PrivateString name;Ten One //enable optimistic

Pessimists and optimists do things completely different, pessimistic outlook on life is a thing I have to completely control to do, otherwise I think this thing will be wrong, and optimistic outlook on the contrary, regardless of the final outcome of everything, he will first try to do, the big deal finally unsuccessful. This is the difference between pessimistic lock and optimistic lock, pessimistic lock w

:6379[1]> exec #执行事务1) OK2) ok127.0.0.1:6379[1]> get Age "Discard: Cancel Transaction, The command actually empties the command in the transaction queue and exits the transaction context, which is the transaction rollback. 127.0.0.1:6379[1]> get Age "a" 127.0.0.1:6379[1]> multi ok127.0.0.1:6379[1]> Set age 25queued127.0.0.1:6379[1 ]> set Age 30queued127.0.0.1:6379[1]> discard #清空事务队列OK127 .0.0.1:6379[1]> get age "20" Note Redis transaction issues: In general, if one transaction fails in the tran

In IBM I 6.1, DB2 provides users with a new feature (row change column) that can improve their algorithms for applications that need to use optimistic locks. Optimistic locking is a widely used technology based on web database applications that are sure to read the data but are only likely to update the read data, but will not maintain a persistent connection to

problems that occur in the concurrency of things A) dirty reads (Dirty read), read UNCOMMITTED data. No committed data was read for another transaction b) Non-repeatable read (Nonrepeatable Read) In the same thing, it is different to read 2 times before and after. (There may be a read process in which another transaction modifies the data) c) Phantom Read (Phantom Read) In the course of your reading, another transaction inserts a new data into it, affecting the results you read. Insert and delet

) key, and the transaction is interrupted if the (or these) key is modified by another command before the transaction executes. Available version: >= 2.2.0 tr> nbsp; Serial Number Command and Description