mongodb性能监控
profile 可以监控所有慢的以及不慢的查询。 Profiler默认是关闭的,你可以选择全部开启,或者有慢查询的时候开启。 开启: db.setProfilingLevel(2); 关闭 db.setProfilingLevel(0) 开启后会在所在库下生成一个system.profile集合,可利用此集合进行查询,如
profile 可以监控所有慢的以及不慢的查询。
Profiler默认是关闭的,你可以选择全部开启,或者有慢查询的时候开启。
开启:
db.setProfilingLevel(2);
关闭
db.setProfilingLevel(0)
开启后会在所在库下生成一个system.profile集合,可利用此集合进行查询,如按查询时间倒排
Analyze Performance of Database Operations
MongoDB运行状态、性能监控,分析
原文地址:mongodb性能监控, 感谢原作者分享。

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



Performance comparison of different Java frameworks: REST API request processing: Vert.x is the best, with a request rate of 2 times SpringBoot and 3 times Dropwizard. Database query: SpringBoot's HibernateORM is better than Vert.x and Dropwizard's ORM. Caching operations: Vert.x's Hazelcast client is superior to SpringBoot and Dropwizard's caching mechanisms. Suitable framework: Choose according to application requirements. Vert.x is suitable for high-performance web services, SpringBoot is suitable for data-intensive applications, and Dropwizard is suitable for microservice architecture.

Effective techniques for optimizing C++ multi-threaded performance include limiting the number of threads to avoid resource contention. Use lightweight mutex locks to reduce contention. Optimize the scope of the lock and minimize the waiting time. Use lock-free data structures to improve concurrency. Avoid busy waiting and notify threads of resource availability through events.

According to benchmarks, for small, high-performance applications, Quarkus (fast startup, low memory) or Micronaut (TechEmpower excellent) are ideal choices. SpringBoot is suitable for large, full-stack applications, but has slightly slower startup times and memory usage.

This article describes how to build a highly available MongoDB database on a Debian system. We will explore multiple ways to ensure data security and services continue to operate. Key strategy: ReplicaSet: ReplicaSet: Use replicasets to achieve data redundancy and automatic failover. When a master node fails, the replica set will automatically elect a new master node to ensure the continuous availability of the service. Data backup and recovery: Regularly use the mongodump command to backup the database and formulate effective recovery strategies to deal with the risk of data loss. Monitoring and Alarms: Deploy monitoring tools (such as Prometheus, Grafana) to monitor the running status of MongoDB in real time, and

According to news on the afternoon of June 21, recently, some netizens said that after installing FeiLian (FeiLian is an office platform used internally by ByteDance and open to the public), they accidentally discovered that FeiLian was executing a screenshot process in the background. The user It reminds everyone not to do things you shouldn't do on computers with such software installed. Sina Technology asked ByteDance about this, and relevant sources said that Feilian provides data security protection functions for corporate customers. Enterprises can set the functional configuration of automated audit policies based on their own business needs and data sensitivity. The situation described in the forum post is that the enterprise administrator has enabled the DLP (data leakage prevention) function on the device that stores sensitive data. Felian will cycle through sensitive devices with DLP enabled at certain intervals.

This article introduces how to configure MongoDB on Debian system to achieve automatic expansion. The main steps include setting up the MongoDB replica set and disk space monitoring. 1. MongoDB installation First, make sure that MongoDB is installed on the Debian system. Install using the following command: sudoaptupdatesudoaptinstall-ymongodb-org 2. Configuring MongoDB replica set MongoDB replica set ensures high availability and data redundancy, which is the basis for achieving automatic capacity expansion. Start MongoDB service: sudosystemctlstartmongodsudosys

The Java framework supports monitoring and logging in microservices architecture through: Monitoring support: Provides built-in monitoring endpoints such as SpringBootActuator to collect application status and performance metrics. Logging integration: Integrate with third-party logging libraries such as Log4j and Logback to provide rich logging functions. Practical case: Integrating ElasticsearchStack can be integrated with ElasticsearchStack to provide advanced monitoring and logging capabilities, such as centralized storage and analysis.

How to effectively use Java framework to improve performance? Choose the right framework: Choose the most appropriate framework based on application needs and performance goals, such as: SpringBoot, PlayFramework, Quarkus. Optimize ORM: Use L2 caching, batch updates, and choosing the right batch size to improve ORM performance. Use asynchronous I/O: Implement asynchronous I/O through NIO or reactive framework to reduce I/O blocking and improve response time. Enable performance monitoring: Use JMX or third-party monitoring tools for performance monitoring to identify and resolve performance bottlenecks.
