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- How Redis implements distributed search function
- Redis is a high-performance NoSQL database that provides a wealth of functions and data structures, including strings, hash tables, lists, sets, and ordered sets. In addition, Redis also provides some advanced functions, such as publish and subscribe, Lua scripts and transactions. Among them, the distributed search function of Redis is very practical and can help us quickly retrieve large amounts of data. In this article, we will explore how Redis implements distributed search functions and give specific code examples. 1. Redi
- Redis . nosql 1248 2023-11-08 11:18:17
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- Redis: the key technology for building a real-time push system
- Redis: The key technology for building a real-time push system. With the development of the Internet and the advancement of intelligent technology, the importance of real-time push systems has become increasingly prominent. In the process of implementing the real-time push system, Redis (RemoteDictionaryServer), as an in-memory database, provides important support for building an efficient real-time push system. This article will introduce the key technologies involved in building a real-time push system and provide specific code examples. Redis is an open source NoSQL data
- Redis . nosql 1187 2023-11-08 09:55:52
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- How to use Couchbase for data storage and query in Workerman
- How to use Couchbase for data storage and query in Workerman Introduction: Workerman is a high-performance PHP asynchronous network programming framework, and Couchbase is an open source NoSQL database with the characteristics of high performance, scalability, and high availability. In this article, we will introduce how to use Couchbase for data storage and query in Workerman, and provide specific code examples. 1. Preparation for using Couchbas
- Workerman . nosql 1431 2023-11-07 15:56:04
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- How to use Memcache in PHP applications to improve caching efficiency?
- With the rapid development of the Internet, data processing and transmission have become the top priority of various application development. While data is being processed, caching applications have also been widely used as data traffic has increased, which can reduce the consumption of server resources, speed up page loading, and avoid the frequent occurrence of certain request timeouts. Among them, Memcache is a high-performance, distributed caching system that is widely used in the development of various Web applications. Below we will introduce Memcach based on specific PHP applications.
- PHP Tutorial . nosql 1364 2023-11-07 12:40:02
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- Redis: a key technology for building high-availability database systems
- Redis: a key technology for building high-availability database systems. With the development of the Internet and the advent of the big data era, the need for high-availability database systems has become increasingly urgent. As an in-memory storage NoSQL database system, Redis has become one of the key technologies for building high-availability database systems with its excellent performance and flexible data model. This article will delve into the high availability technology of Redis and demonstrate it with specific code examples. 1. The high availability requirements of Redis in actual applications
- Redis . nosql 1374 2023-11-07 09:39:16
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- How to use HBase for data storage and query in Workerman
- Workerman is a high-performance PHPsocket framework that can host a large number of concurrent connections. Unlike traditional PHP frameworks, Workerman does not rely on web servers such as Apache or Nginx. Instead, it runs the entire application by itself by starting a PHP process. Workerman has extremely high operating efficiency and better load capacity. At the same time, HBase is a distributed NoSQL database system that is widely used in big data
- Workerman . nosql 1338 2023-11-07 08:30:28
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- MongoDB application practice and data analysis and mining in the education industry
- In recent years, with the continuous development and application of data mining technology, all walks of life have joined the army of data analysis. The education industry is no exception. More and more schools and educational institutions are beginning to try to use data analysis technology to improve the quality of education, optimize education management, and make more scientific and accurate decisions. One of the important technical supports is the database, and MongoDB is one of the best. 1. Introduction to MongoDB MongoDB is a database system based on distributed file storage. because
- MongoDB . nosql 823 2023-11-04 16:17:18
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- In-depth analysis of MongoDB's data replication and failure recovery mechanism
- In-depth analysis of MongoDB's data replication and failure recovery mechanism Introduction: With the advent of the big data era, data storage and management have become increasingly important. In the database field, MongoDB is a widely used NoSQL database, and its data replication and failure recovery mechanism are crucial to ensuring data reliability and high availability. This article will provide an in-depth analysis of MongoDB's data replication and failure recovery mechanism so that readers can have a deeper understanding of the database. 1. MongoDB’s data replication mechanism data replication
- MongoDB . nosql 1570 2023-11-04 16:07:42
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- In-depth analysis of MongoDB's transaction processing and concurrency control mechanism
- In-depth analysis of MongoDB's transaction processing and concurrency control mechanism Summary: MongoDB is a popular NoSQL database known for its high performance and scalability. However, MongoDB initially did not support transaction processing and concurrency control, which may cause data consistency and integrity issues in some cases. To address these issues, MongoDB introduced multi-document transactions and hybrid isolation levels in its latest version, providing developers with better concurrency control mechanisms. Introduction: Transaction Processing and
- MongoDB . nosql 963 2023-11-04 15:00:15
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- Summary of experience in building log analysis and monitoring system based on MongoDB
- 1. Requirements analysis and system design With the popularization of the Internet and mobile devices, the number of logs of various network applications and systems has increased dramatically. Analysis and monitoring of these massive logs can help enterprises understand the system operation in real time, discover potential problems and repair them in a timely manner, and improve the stability and reliability of the system. In order to meet this demand, our team built a log analysis and monitoring system based on MongoDB. This article will summarize our experience during the build process. 1.1 Requirements analysis in the construction of log analysis and monitoring system
- MongoDB . nosql 783 2023-11-04 13:17:12
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- MongoDB application practice and performance optimization in the tourism industry
- MongoDB is a very popular NoSQL database that is widely used in various industries. As an information-intensive industry, the tourism industry has extremely high requirements for database performance and flexibility. Therefore, it is very important to apply MongoDB and perform performance optimization in the tourism industry. First of all, the characteristics of the tourism industry determine that the types of data stored in the database are very diverse. For example, the data involved in the tourism industry includes hotel information, flight information, attraction information, customer information, etc. The structure of these data is often
- MongoDB . nosql 1117 2023-11-04 11:16:53
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- Summary of experience in building real-time log analysis and anomaly detection system based on MongoDB
- With the popularity of the Internet and mobile devices, the amount of log data generated is also increasing. How to efficiently analyze log data and detect anomalies has become a very important issue. This article will introduce how to build a real-time log analysis and anomaly detection system based on MongoDB, and share some experience summaries. 1. Introduction to MongoDB MongoDB is a NoSQL database that uses document storage to easily store and query data in JSON format. MongoDB has the following characteristics:
- MongoDB . nosql 1172 2023-11-03 17:18:11
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- Experience sharing on implementing real-time recommendation system using MongoDB
- With the development of the Internet, people's lives are becoming more and more digital, and the demand for personalization is becoming stronger and stronger. In this era of information explosion, users are often faced with massive amounts of information and have no choice, so the importance of real-time recommendation systems has become increasingly prominent. This article will share the experience of using MongoDB to implement a real-time recommendation system, hoping to provide some inspiration and help to developers. 1. Introduction to MongoDB MongoDB is an open source NoSQL database known for its high performance, easy scalability and flexible data model. Compared to biography
- MongoDB . nosql 883 2023-11-03 16:37:56
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- MongoDB application practice and data privacy protection in the medical and health field
- With the continuous development of data technology and the expansion of application scenarios, the application of MongoDB database in the medical and health field has gradually attracted attention. This article will introduce the application practice of MongoDB in the medical and health field, and discuss how to protect the privacy of medical data. 1. MongoDB application practice in the medical and health field Electronic medical record system Electronic medical record system is one of the basic information systems of medical institutions. Its implementation requires the patient’s basic information, medical records, diagnosis results, doctor’s orders, test reports, imaging data, etc. A series of medical data
- MongoDB . nosql 1442 2023-11-03 13:57:19
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- Experience sharing on using MongoDB to build a smart home big data platform
- Experience sharing in building a smart home big data platform using MongoDB. With the development of technology and the improvement of people's living standards, smart homes are gradually becoming a part of family life. Smart homes realize intelligent control and automated management of home equipment through the connection of various sensors and devices. The massive data generated by these smart devices provides valuable resources for building a smart home big data platform. Here, I will share my experience in using MongoDB to build a smart home big data platform. MongoDB is an open source
- MongoDB . nosql 1309 2023-11-03 10:58:46
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