这节来看看MMS监控代理配置文件的一些参数。 连接设置 MMS监控代理需要与MMS服务器进行通讯,下面的连接参数是必须的。 mmsApiKey 类型:字符串MMS组的MMS代理API密钥。可以在MMS界面上的代理设置选中查看。如:mmsApiKey= ABC123 mmsBaseUrl 类型:字符串MM
这节来看看MMS监控代理配置文件的一些参数。连接设置
MMS监控代理需要与MMS服务器进行通讯,下面的连接参数是必须的。mmsApiKey
类型:字符串 MMS组的MMS代理API密钥。可以在MMS界面上的代理设置选中查看。如:mmsApiKey= ABC123mmsBaseUrl
类型:字符串 MMS?Web服务器的URL。如:mmsBaseUrl=http://mms.ttlsa.com:8080HTTP代理设置
httpProxy
类型:字符串 通过代理服务器连接到MMS HTTP服务,在此设置代理服务器的URL。如:httpProxy=http://example-proxy.com:8080。监控代理2.3.1版本引入的。MongoDB SSL设置
当监控代理通过SSL连接mongodb时,需要设置这些配置。useSslForAllConnections
类型:布尔 设置为true,所有连接以SSL加密通讯。那么sslTrustedServerCertificates 参数就必须的了。sslTrustedServerCertificates
类型:字符串 指定证书路径。如:sslTrustedServerCertificates=/etc/mongodb-mms/mongodb-certs.pemsslRequireValidServerCertificates
类型:布尔 使用此选项可以禁用证书验证。MongoDB?Kerberos设置
krb5Principal
类型:字符串 代理使用的Kerberos主体。如:krb5Principal=mmsagent/myhost@EXAMPLE.COMkrb5Keytab
类型:字符串 指定Kerberos主要密钥文件绝对路径。如:krb5Keytab=/etc/mongodb-mms/mms-monitoring-agent.keytabMMS服务器SSL设置
监控代理与MMS服务器通过SSL通讯。sslTrustedMMSServerCertificate
默认情况下,监控代理会使用已安装在系统上的受信任的根CA。如果代理找不到信任的根CA,手动配置这些设置。 如果MMS HTTP服务使用的是自签的SSL证书此参数是必需的。 指定证书路径。如:sslTrustedMMSServerCertificate=/etc/mongodb-mms/mms-certs.pemsslRequireValidMMSServerCertificates
类型:布尔 设置该值为false禁用证书验证。Munin 设置
监控节点的硬件信息。对节点的监控后面再说。enableMunin
类型:布尔 如果不想监控代理通过Munin-node来收集硬件信息,设置为false。默认值为true。不推荐的配置
以下是不推荐的配置。MongoDB身份验证设置
如果所有被监视的MongoDB实例使用相同的MongoDB-CR用户名和密码,可以使用这些设置。 这里设置的用户名和密码将覆盖MMS界面的配置。 代理验证需求请关注后面的内容。globalAuthUsername
类型:字符串 监控代理用来连接mongodb的用户名。如:globalAuthUsername=mms-monitoring-agentglobalAuthPassword
类型:字符串 globalAuthUsername用户的密码。如:globalAuthPassword=somePassword原文地址:MMS 监控代理配置选项说明(9), 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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