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In-depth understanding of Java Virtual Machine Learning notes 6--class loading mechanism

the Setcontextclassloader method of the thread context.Java EE is only a specification, sun company only gives the interface specification, the specific implementation by each vendor implementation, so JNDI,JDBC,JAXB and so on these third party's implementation library can be called by the JDK class library. The thread context ClassLoader also does not follow the parental delegation model.(3). In recent years, Hot code replacement, module thermal deployment and other applications require the co

Java Virtual machine learning-JVM memory Management: In-depth garbage collector and memory allocation policy (4)

becomes a bottleneck for higher concurrency, we need to monitor and regulate these "automated" technologies.Return the time from 1960 to the present, back to our familiar Java language. In the first chapter of this article, we describe the parts of the Java Memory Runtime area, where the program counter, VM stack, local method stack three regions are born with threads, and the frames in the stack are organ

Java Virtual Machine learning Note (i) Windows10 compiled OpenJDK8

the time to report an error: Exception in thread "main" Java.lang.VerifyError:class Jdk.nashorn.internal.objects.ScriptFunctionImpl Overrides final method Setprototype. This I can not know what is the problem, to the current level can not be the same as before the wrong, the class file is also generated, the inside of what is not known (perhaps with the high version of the JDK8 to compile OpenJDK8 has a relationship), toss long enough, the first compile JDK source code, JDK Compilation is a suc

Java Virtual machine Concurrent Programming Learning notes

The book "Java Virtual machine concurrency programming" is really brief encounter. I've only scratched the surface of concurrent programming, and this book gives me a whole new understanding of concurrent programming. So put the knowledge points in the book to take notes, in order to review the use later.Concurrency and parallelismCarefully speaking, concurrency and parallelism are two different concepts. B

Java Virtual Machine Learning-JVM Tuning Summary-generational garbage collection details (9)

concurrent collection when you specify how many remaining heaps are-xx:cmsinitiatingoccupancyfraction=SummarySerial Processor:-Applicable: Small data volume (around 100M), single processor and no response time requirements of the application.--Cons: Only for small applicationsParallel Processor:--Application: "High throughput Requirements", multi-CPU, application response time is not required for medium and large-scale applications. Examples: Background processing, scientific calculation.--Cons

In-depth understanding of Java Virtual Machine Learning notes 9--concurrent programming (i)

is, the value of the variable must be synchronized back to main memory each time the working memory is assigned a value, to ensure that other threads can see the latest modification of the variable.C. If a thread assign or use a volatile variable A is preceded by a assign or use operation on the volatile variable B, the thread is read/load or store/to the volatile variable A. The write operation must precede the read/load or store/write operation on volatile variable B.(EXT) "In-depth understan

Java Virtual machine Learning

the maximum age for garbage.If set to 0, then the young generation object does not go through the survivor area, directly into the old generation. For older generations of more applications, can improve efficiency. If this value is set to a larger value, the younger generation objects are duplicated multiple times in the Survivor area, which increases the survival time of the object's younger generations, increasing the introduction of being recycled in the younger generation.Collector Settings

Java Virtual Machine Learning-JVM Tuning Summary-A new generation of garbage collection algorithms (11)

application thread exists in the contents of the set logs, and modify the corresponding remembered sets, this step needs to pause the application, parallel running.Survival Object calculation and cleanup ( Live Data counting and Cleanup )It should be noted that in G1, it is not that final marking pause is executed, it is certain to perform cleanup this step, because this step needs to suspend the application, G1 in order to achieve quasi-real-time requirements, It is necessary to reasonably pla

In-depth understanding of Java Virtual Machine Learning notes 10--concurrent Programming (ii)

operating system assigns each thread the execution time slice, seizes the time slice the thread executes, the time slice runs out and then re-seizes the execution time, the thread's switch is not determined by the thread itself.Advantage: Thread execution time is controllable and the system crashes without a thread blocking problem.Multithreading in the current JDK is a preemptive multi-threaded system, but it can be done by setting the thread priority and changing the execution time allocation

Java Virtual Machine Learning-JVM Tuning Summary (6)

, the nearest 8 integer times greater than 17byte is 24, so the size of this object is 24byte.It is important to note the size of the wrapper type for the base type . Because this type of packaging has become an object, they need to be treated as objects. The size of the wrapper type is at least 12byte (the space required to declare an empty object), and 12byte does not contain any valid information, and since the Java object size is an integer multip

Deep Java Virtual machine learning-the loading mechanism of classes (iii)

the same package make up the run-time package, deciding whether the two classes belong to the same run-time package, not only to see if their package names are the same, but also to see if the class loader is the same. Only classes that belong to the same run-time package can access each other's classes and class members that are visible to the package (that is, the default access level). Such restrictions can prevent user-defined classes from impersonating the core class library's classes to a

Java Virtual machine learning-slowly pondering the working mechanism of the JVM (2-1) ClassLoader

initialization by completing the initialization of the static variable and static code block of the class. Examples are as follows:The classes that need to be loaded Reflect.java as follows: Public classReflect {Private intUserName; Private intpassword; Static{System.out.println ("Reflect static Block"); } PublicReflect () {System.out.println ("Reflect Constructs"); } Public intGetUserName () {returnUserName; } Public voidSetusername (intuserName) { This. UserName =UserName; }

Stanford Machine Learning---The seventh lecture. Machine Learning System Design _ machine learning

This column (Machine learning) includes single parameter linear regression, multiple parameter linear regression, Octave Tutorial, Logistic regression, regularization, neural network, machine learning system design, SVM (Support vector machines Support vector

Java Virtual machine Learning (iv)--garbage collection algorithm

Cenozoic, each garbage collection found that a large number of objects died, only a small number of survival, the use of replication algorithms, only a small number of surviving objects can be copied cost to complete the collection. In the old age, because of the high survival rate of the object and the lack of additional space to guarantee it, it is necessary to use the "tag-clean" or "mark-up" algorithm for recycling.The algorithm executes the process as shown.  2, the hotspot algorithm reali

Java Virtual Machine Learning-JVM Tuning Summary-issues facing garbage collection (8)

time of garbage collection will continue to increase correspondingly, the corresponding application pause time will also increase correspondingly . Some applications that require a high amount of time, such as a maximum pause time of hundreds of milliseconds, are likely to exceed this limit when the heap space is larger than a few grams, in which case garbage collection becomes a bottleneck for the system to run. To resolve this contradiction, there is a concurrent garbage collection algorithm

Java Virtual machine Monitoring Jconsole learning

Development environment:Server System: LinuxWeb container: ResinJava version: Oracle,jrockitSince the Java1.5 version has a custom monitoring jconsole to detect the operation of the Java Virtual machine.Configure the parameters under the JVM parameters in Resin's startup profile resin.conf:whichPort: The port number to use when monitoringAuthenticate: Monitor if you need to add a user name and passwordHostname: Server IPwhichOpen the Jconsole input ne

Introducing a series of tutorials for learning Java-the Pike it tutorial

Introducing a Java-based 0 Basic Learning Java website, introducing a series of tutorials for learning Java-the Pike it tutorialHere is a tutorial on the Java system: 1? [

Stanford Machine Learning---The sixth lecture. How to choose machine Learning method, System _ Machine learning

This column (Machine learning) includes single parameter linear regression, multiple parameter linear regression, Octave Tutorial, Logistic regression, regularization, neural network, machine learning system design, SVM (Support vector machines Support vector

Java Basic Learning tutorial, EE Enterprise Real-combat video tutorial

software development process and the use of relevant professional tools!Primary stage: Focus on Java core technology.Intermediate stage: Focus on javaweb development.Advanced stage: Focus on framework technology.Promotion phase: Focus on rich client technology.Project Training phase: Focus on software engineering and project combat.This course combined with the project, the actual combat library information management system, QQ chat room, business o

Stanford Machine Learning---the eighth lecture. Support Vector Machine Svm_ machine learning

This column (Machine learning) includes single parameter linear regression, multiple parameter linear regression, Octave Tutorial, Logistic regression, regularization, neural network, machine learning system design, SVM (Support vector machines Support vector

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