mongodb scalability

Chen Xun software studio R D department manager This article is the third article in cluster scalability and distributed architecture. This section mainly introduces the hierarchical structure model of the Cluster's hardware and software structure, the main classification methods, and four main elements that determine the cluster design: Ha, SSI, job management and communication. The author aims to build an abstract cluster model through several

Introduction Asp.net has many "secrets" worth exploring. When you discover them, it will greatly improve the performance and scalability of your website! For example, there are some secret bottlenecks for Membership and Profile providers, and they are easily resolved, making authentication and authorization faster. In addition, the http pipeline of asp.net can process each request to prevent attacks by executing unnecessary code. More than that, the

Microsoft recently released several xrm white papers to help it decision makers and architects understand the scalability and product portfolio of xrm: The xrm advantage for solution builders Maximize the value of your custom business-applications with Microsoft Dynamics CRM Relational productivity applications-leveraging Microsoft Dynamics CRM and SharePoint for enhanced business impact Microsoft Dynamics CRM 4.0-xrm application

Java concurrent programming and scalability (3)Avoid hotspot domain For example, the size of a hashmap. The optimization method is to add a counter. But for ConcurrentHashMap. When performing concurrent operations on the counter, the counter needs to be changed each time put and remove. Therefore, in this class, this counter is called a hot point domain, which is the bottleneck of scalability. So the metho

primary database copy, the changes are delayed and can be quickly recovered from user or application errors. By extending the DB2 pureScale Feature with Q Replication, you can achieve scalability, reliability, and transparency, while ensuring the protection and continuous availability of remote replicas. This article will discuss the considerations of this solution and introduce how to deploy the Q Replication and DB2 pureScale Feature in combination

PHP 7 Installation and Use experience greatly improves performance, strong compatibility, and insufficient Scalability (be cautious when upgrading PHP). Be cautious when installing and using PHP 7. With the release of PHP 7, the performance and compatibility of PHP 7 have become a hot topic for discussion over the past few days. The high performance of PHP 7 has made many people eager to get started, some "early adopters" have applied PHP 7 to the pr

Performance and Scalability I. Law of Amdahl1. The relationship between issues and resourcesIn some cases, the more resources are resolved faster, the more the problems are the opposite:Note: Each program must have a serial part, and reasonable analysis of the serial and parallel parts of the program has a great impact; the relationship between serial part ratio and multicore execution efficiency is exponential level2.ConcurrentLinkedQueueIn a multico

connection being depleted and to help the application expand. The following precautions must be taken to achieve optimal connection use: Explicitly close the connection now The application component invokes the Getconnection method on the connection factory to obtain an EIS connection. The returned connection instance represents an application-level handle to the underlying physical connection. After the application component completes the use of this connection, you should close the connect

cache, pages, page fragment caches, etc., in front of the database. As for the object cache, Jdon has been discussed too right hehe. Monitoring We should be able to understand the performance of the system from the perspective of a real user, including testing the user experience from an external network and the number of calls to each component of the internal system, and the time of each call, and so on. Copy Database separation, so that not only can achieve a cert

Architecture comparison and scalability (I) Lin Fan iamafan@21cn.com Chen Xun software studio R D department managerNovember 2001 This article is the second half of "scalability and distributed architecture of clusters, we will continue to introduce several common parallel computing architectures, extensible and single system images, and important metrics of clusters. Scalable Parallel Computing Archite

Compile | program | Crystal Report The knowledge in this article involves: Visual Studio. NET Embedded Crystal Report Apply to: Refers only to the reported version License Upgrade CRNET11 WHF 191382 CRNET10 Outline The key number of the Visual Studio. NET 2002/2003 Embedded Crystal Report does not support unrestricted retry, after exceeding the allowable count. A. NET user who creates and deploys applications using the. NET report components bundled in VS. NET requires more

similarities between the two, the cache is actually cached in the recent hot spot data, and LOG analysis can be deleted, that is, will not run out of storage space24:facebook 2011:batching IO, avoid hbase hot keys?Java Sharding plan: Hand slicing? This is supposed to be before the data center.10000 Writes per sec per Server25, Dropbox 2011:python for backend and client (Python write Tortoisehg/mercury actually good performance, sublime not also python write); but it can't be used on Android (-_

When using Maxthon, I did not want to see a floating box. I changed it to jquery-based, and the scalability was good. I sent it to share it. The Code is as follows: Add content here

When using Maxthon, I did not want to see a floating box. I changed it to jquery-based, and the scalability was good. I sent it to share it. The Code is as follows: Add content here

MySQL Study Notes (6) scalability design-memcached1. as a tool for improving system performance The following figure shows a brief diagram of using memchched as the cache service layer: It can be seen that all data needs to be inserted, updated, and deleted to the Master. If the master is updated or deleted, it will be deleted from memcached to maintain data consistency. When reading data, read data from memcached first. If the data cannot be re

Set the time in the data, and use the object Attribute Table to increase the system's scalability. For example, the news table t_news is displayed in the news system, and a news table is added. Attribute Table t_news_prop. When the fields in the News table cannot meet the requirements, you can use the Attribute Table to implement the requirements. You only need to add a record. You can simply enter the Attribute Table. A simple example of data stru

method reuse convertView in the getView method, and use the ViewHolder mode to bind data to the layout and event binding. Considering the scalability, these operations are all moved to a unified class for encoding. This class is the view rendering class AdapterTypeRender, and this view rendering class should have multiple subclass implementations, so we need to get an object like this, and the specific object we get is implemented by a subclass of ou

In the discussion on IIS Server 4.0, we will focus on the Web management and development functions of the IIS server, here, I assume that you have a preliminary understanding of the concepts and functions of Windows NT Server 4.0. For IIS server version 4.0, most people focus on the improvement of its management tools and Log File analysis tools. We will summarize some of the improvements, including the Microsoft console and other improvements to Web Site management-Site Server Express, a tool

requirements, we believe that through the API approach to query, there are always a variety of defects, so put the target on the database, if you can define the way the view to solve the problem, it will completely solve the query convenience, flexibility, universality problems. After analyzing Activiti's database tables, we found that the tables that were not complicated and were related to the backlog, including Act_ru_task, act_ru_identitylink,act_ru_task, stored the task-relevant informatio

Recently, I spent some time studying the High-concurrency, high-performance, and high-scalability Web 2.0 website architecture design and optimization strategies. I found a lot of good information and will continue to share it with you. -- For those who want to improve performance testing and performance optimization for large-scale network applications, take a closer look. Pai_^ High-concurrency and high-traffic website architecture