No matter how careful it is, it is impossible to avoid bad code altogether, and tools are needed to help us check if there is a memory leak in the code. The DDMS in Android tools comes with a very good memory monitoring tool heap (here I use the
1. view the database version
Select @ version
2. view the operating system parameters of the machine where the database is locatedExec master .. xp_msver
3. view database startup parametersSp_configure
4. view the database startup timeSelect
1. Concurrency consistency
Common concurrency consistency problems include: Lost modifications, non-repeated reads, dirty reads, and Phantom reads (Phantom reads are often classified as non-repeated reads in some materials ).1.1 lost
1. view the database versionSelect @ version2. view the operating system parameters of the machine where the database is locatedExec master .. xp_msver3. view database startup parametersSp_configure4. view the database startup timeSelect convert
1. view the database versionSelect @ version
Common SQL server patch versions:
8.00.194 Microsoft SQL Server 20008.00.384 Microsoft SQL Server 2000 sp18.00.532 Microsoft SQL Server 2000 sp28.00.760 Microsoft SQL Server 2000 sp38.00.818 Microsoft SQL
ArticleSource: blog Author: softj Release Date:
1. view the database version Select @ version 2. view the operating system parameters of the machine where the database is located Exec master .. xp_msver 3. view
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Expression)
Expression effect
"A + = A-= A *"
The value assignment expression can also include a composite value assignment operator. For example:Int A = 12;A + = A-= A *It is also a value assignment expression. If the
Missing changes, non-repeatable read, read dirty data, Phantom readLet's take a look at an example that shows inconsistencies in the data caused by concurrent operations.Missing changesConsider an activity sequence in the aircraft booking system:A
No matter how careful you are, it is impossible to completely avoid bad code. At this time, some tools are required to help us check whether there is any place in the code that will cause memory leakage. The ddms in Android tools comes with a very
Motivation:
The previous article [application architecture]: entity expansion mode describes a mode for extending object attribute data. This article continues the motivation of the previous article and introduces an entity profile model.
Entity
Banqiao Renren http://www.jdon.com 2004/01/09
Why do we need to distinguish J2EE containers from J2EE application systems?
We know that a J2EE application system can run only when deployed in a J2EE container. Why is it divided into a J2EE
What is AOP?
AOP is a continuation of OOP and short for aspect oriented programming, which means Aspect-Oriented Programming. AOP is actually a continuation of the gof design model. The design model tirelessly pursues decoupling between callers
1. sort by strokes of the Last Name: Select * From tablename order by customername collate chinese_prc_stroke_ci_as
2. database encryption:Select encrypt ('original password ')Select pwdencrypt ('original password ')Select pwdcompare ('original
1. sort by strokes of the Last Name:Select * From tablename order by customername collate chinese_prc_stroke_ci_as2. database encryption:Select encrypt ('original password ')Select pwdencrypt ('original password ')Select pwdcompare ('original
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2.2.1 concurrency consistency
2.2.2 solutions to concurrency consistency problems
2.2.3 transaction isolation level
From http://www.cnblogs.com/zhenyulu/articles/330494.html
The complete code of this part can be downloaded
CopyonwritearraylistI. Introduction
The new concurrent package is added to JDK 5, which contains many concurrent containers. These containers are optimized for the multi-threaded environment and greatly improve the execution efficiency of the
The ORACLE tutorial is: A Brief Discussion on the Oracle database set replication method.
Preface
The increasing demand for distributed applications requires a better distributed software environment, which constantly promotes the development of
Database-concurrency controlConcurrent Control Task
Correctly schedule concurrent operationsEnsures transaction isolationEnsure Database Consistency
Multi-User Database SystemDatabase systems that can be used by multiple users at the same
Common concurrency concurrency Consistency issues include: missing changes, non-repeatable reads, read dirty data, Phantom reads (Phantom reads are often associated with non-repeatable reads in some materials)Missing modificationsLet's take a look
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