跳到主要內容

Install K8S on VM and spring boot integration.

Installation Environment Vmware Workstation pro  It is recommended to use the  snapshot  to store the state of each installation stage to avoid installation failures and causing the installation to start from scratch. Ubuntu 22.04 windows 11 Hardware settings  create 3 VM: 4 cores and 4G memory and 100G capacity Before installing K8s (All use the root user) set host: 192.168.47.135 master 192.168.47.131 node1 192.168.47.132 node2 set root ssh connection: sudo su - echo "PermitRootLogin yes" >> /etc/ssh/sshd_config systemctl restart sshd sudo passwd ssh-keygen for i in {master,node1,node2}; do  ssh-copy-id root@$i; done set Ipvs and conf  create conf file: for i in {master,node1,node2}; do ssh root@$i 'cat << EOF > /etc/modules-load.d/containerd.conf overlay br_netfilter EOF'; done execute conf: for i in {master,node1,node2}; do ssh root@$i 'modprobe overlay;modprobe br_netfilter;'; done create 99-kubernetes-cri.conf file: for i in {master,node1,

Concurrency

Glossary

  • Synchronous:  
    • When you start a program, you must wait until it finishes before moving on to the next step.
  • Asynchronous:
    • When you start a program, it returns immediately and runs the program in the background, and you can move on to the next step.
  • Concurrency:


    • Concurrency is the ability of different parts or units of a program, algorithm, or problem to be executed out-of-order or in the partial order, without affecting the final outcome
  • Parallelism:

    • Parallel computing is a type of computation in which many calculations or processes are carried out simultaneously.
  • Blocking:
    • A process that is blocked is one that is waiting for some event, such as a resource becoming available or the completion of an I/O operation
  • Non-blocking:
    • An algorithm is called non-blocking if the failure or suspension of any thread cannot cause the failure or suspension of another thread

Concurrency level

  • Blocking:
    • A thread is blocked and it cannot execute until other threads release resources.
  • Starvation-Free:
    • Resource allocation is fair to all threads.
  • Obstruction-Free:
    • A method is obstruction-free if, from any point after which it executes in isolation, it finishes in a finite number of steps (method call executes in isolation if no other threads take steps).
  • Lock-Free:
    • A method is lock-free if it guarantees that infinitely often some method call finishes in a finite number of steps.
  • Wait-Free:
    • A method is wait-free if it guarantees that every call finishes its execution in a finite number of steps.

Concurrency concept

  • Atomicity:
    • Atomicity means that an operation is non-interruptible. Even when multiple threads are executed together, the operation will not be disturbed by other threads once it is started. That is, an atomic operation is a small operation.
  • Visibility:
    • Visibility is when a thread modifies the value of a shared variable, and whether another thread can immediately know the change.
  • Ordering:
    • When it comes to ordering, it inevitably has a disorderly order, which is caused by the JVM's command rearrangement optimization.
    • If we want to keep order completely, we need to add a synchronous lock (synchronized) to the object, which is actually a single thread execution.

Concurrency programming optimization

  • Use thread pools to reduce thread creation costs.
  • Use concurrent package tools.
  • Use immutable variables or do not share resources.
  • Suggestions to improve lock performance:
    • Reduce lock-holding time.
    • Reduce lock granularity.
    • Read-write separation lock to replace the exclusive lock.
    • Lock separation.
    • Lock coarsening (reduce lock requests).

reference:

留言

這個網誌中的熱門文章

Install K8S on VM and spring boot integration.

Installation Environment Vmware Workstation pro  It is recommended to use the  snapshot  to store the state of each installation stage to avoid installation failures and causing the installation to start from scratch. Ubuntu 22.04 windows 11 Hardware settings  create 3 VM: 4 cores and 4G memory and 100G capacity Before installing K8s (All use the root user) set host: 192.168.47.135 master 192.168.47.131 node1 192.168.47.132 node2 set root ssh connection: sudo su - echo "PermitRootLogin yes" >> /etc/ssh/sshd_config systemctl restart sshd sudo passwd ssh-keygen for i in {master,node1,node2}; do  ssh-copy-id root@$i; done set Ipvs and conf  create conf file: for i in {master,node1,node2}; do ssh root@$i 'cat << EOF > /etc/modules-load.d/containerd.conf overlay br_netfilter EOF'; done execute conf: for i in {master,node1,node2}; do ssh root@$i 'modprobe overlay;modprobe br_netfilter;'; done create 99-kubernetes-cri.conf file: for i in {master,node1,

ShardingSphere

Table of contents [ hide ]  ShardingSphere The distributed SQL transaction & query engine for data sharding, scaling, encryption, and more - on any database. ShardingJDBC ShardingSphere-JDBC is a lightweight Java framework that provides additional services at Java’s JDBC layer. ShardingProxy ShardingSphere-Proxy is a transparent database proxy, providing a database server that encapsulates database binary protocol to support heterogeneous languages. Core Concept 1. Virtual Database Provides a virtual database with sharding capabilities, allowing applications to be easily used as a single database 2. Real Database The database that stores real data in the shardingShereDatasource instance for use by ShardingSphere 3. Logic Table Tables used by the application 4. Real Table In the table that stores real data, the data structure is the same as the logical table. The application maintains the mapping between the logical table and the real table. All real tables map to ShardingSpher

SOLID

SOLID is the fundamental and core principle of OOP. Single-Responsibility Principle High cohesion: A module preferably has only one business logic. Low coupling:   The different modules work independently and are connected by simple protocols to minimize side effects. Open-Closed Principle Open for extension:  It is easy to extend new functions with existing code. Close for modification:  Do not modify existing classes to ensure stable functions. Liskov-Substitution Principle A superclass should be replaceable with objects of its subclasses without breaking the application. Interface-Segregation Principle Clients only depend on the interfaces they need, don't use the "big" interface to contain everything. Dependence-Inversion Principle The program should depend upon abstractions, not concretions. reference: https://en.wikipedia.org/wiki/SOLID https://blog.knoldus.com/what-is-liskov-substitution-principle-lsp-with-real-world-examples/ https://github.com/hollischuang/toBeTo