MMS应用程序包 前端包包含用户与其交互的界面,HTTPS服务用于监控代理和备份代理来发送数据和MMS服务。前端MMS包启动时,所有三个组件自动启动。这些组件是无状态的。前端包多个实例可以作为每个实例都具有相同的配置下运行。只要用户和代理可以与任何实例进
MMS应用程序包
前端包包含用户与其交互的界面,HTTPS服务用于监控代理和备份代理来发送数据和MMS服务。前端MMS包启动时,所有三个组件自动启动。这些组件是无状态的。前端包多个实例可以作为每个实例都具有相同的配置下运行。只要用户和代理可以与任何实例进行交互。 对于MMS监控,只需要安装应用程序包。应用程序包包括以下组件:- MMS Application and Monitoring Server
- MMS Backup Ingestion Server
- MMS Backup Alerts Service
MMS HTTP服务
HTTP服务端口默认是8080。这个组件提供Web界面来管理MMS用户,监控MongoDB的服务器和管理这些服务器的备份。 用户可以注册,创建新的帐户和组,以及加入现有的组。还包含监控mongodb实例的信息报告。备份HTTP服务
该服务默认运行在8081端口上。备份HTTP服务包含一组用于备份代理Web服务。?代理从这项服务中检索其配置。该代理还通过该端口来发送初始化和oplog数据。该服务不需要与用户进行交互。备份报警服务
备份报警服务监视所有代理状态,备份数据库的本地复制和快照。一旦出现问题发送邮件报警。备份守护包
备份守护
备份守护进程是备份守护包的唯一组成部分。 备份守护管理备份数据库的本地复制和备份快照。该守护进程工作基于数据从备份代理进来的备份HTTP服务。没有客户端程序需要与该守护进程通话,它的状态和作业队列来自MMS应用程序数据库。 该守护进程在其本地存储路径rootDirectory创建备份数据库的本地副本。?如果运行多个备份守护进程,当你添加新的备份系统选择守护进程的实例,该实例的本地副本位于与该守护程序。 该守护进程将预定快照并将这些快照存储在快照存储也叫Blockstore。它也将作用于从Blockstore检索数据,并将其传送到所请求的目的地来恢复数据。 多个Backup守护进程可以水平扩展,每个复制集绑定到特定服务。数据存储
所有关于MMS服务的状态数据和快照备份数据都永久存储在mongodb上。这些数据库不是MMS包安装的一部分。单独设置该数据库并在mms配置文件中指定它。 这些数据库被称为“Backing MongoDB Instances”或“backing databases”。MMS应用数据库
该数据库将包含MMS用户,组,主机监测数据,备份时的状态等等。这些元数据比较小每个监控/备份服务器小于1G,但是更新频繁。因此强烈建议这个数据库配置成为复制集来为MMS服务提供耐用性和自动故障转移。MMS备份Blockstore数据库
这个数据库包含备份数据库的所有快照和保留oplog来进行时间点的恢复。快照数据库所需要的空间与备份数据库成正比。 将Blockstore数据库设置成复制集来为备份和恢复组件提供耐用性和自动故障转移。原文地址:MMS 架构组件(2), 感谢原作者分享。

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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