tencent cloud

TencentDB for DBbrain

Release Notes and Announcements
Release Notes
Announcements
Product Introduction
Overview
Features
Strengths
Use Cases
Feature List
Region List
Purchase Guide
Operation Guide
Cloud Access Management
Self-Built Database Access
Instance Overview
Instance Management
Monitoring and Alarms
Health Report and Kill Session Report Management
MySQL/TDSQL-C for MySQL Performance Optimization
TDSQL for MySQL/MariaDB Performance Optimization
Distributed cache database (Distributed Cache) diagnostic optimization
MongoDB Performance Optimization
Full-Link Analysis
Practical Tutorial
Fixing High CPU Utilization on MySQL Instance
Fixing Lock Conflict on MySQL Instance
How to Address High CPU Utilization Issues in Distributed Cache Instances
Fixing High CPU Utilization in MongoDB Instance
Fixing Short Node Oplog Retention Period in MongoDB Instance
API Documentation
History
Introduction
Introduction
API Category
Making API Requests
Session Killing APIs
Exception Detection APIs
Other APIs
Redis related APIs
Health Report Email Sending APIs
Space Analysis APIs
Slow Log Analysis APIs
Security Audit APIs
Database Audit APIs
Data Types
Error Codes
DBbrain APIs 2019-10-16
FAQs
Self-Built Database Issues
MySQL Performance
Product
Service Level Agreement
Glossary
Contact Us

MongoStatus

PDF
Focus Mode
Font Size
Last updated: 2025-07-09 14:52:25
To facilitate daily database Ops, DBbrain provides the TencentDB for MongoDB MongoStatus tool. This tool monitors the MongoDB status at the instance or node level by checking the traffic and storage engine in real time.

Directions

Instance-Level MongoDB Status

1. Log in to the DBbrain Console.
2. In the left sidebar, choose Performance Optimization.
3. Select MongoDB database type and instance ID at the top of the page, and select the Performance Trends tab.
4. Select Instance > MongoStatus.
5. Click the Pause button at the top right to pause and view the data situation.


Single Node MongoDB Status

1. Log in to the DBbrain Console.
2. In the left sidebar, choose Performance Optimization.
3. Select MongoDB database type and instance ID at the top of the page, and select the Performance Trends tab.
4. Select Mongod Node > MongoStatus.
5. From the dropdown list, select a node to view.

6. Click the Pause button at the top right to pause and view the data situation.


MongoStaus Monitoring List Field Description

The feature descriptions of various parameters in MongoStaus are as follows:
Monitoring List Field
Note:
Performance Impact and Optimization Methods
Time
Monitoring time point
-
Node ID
Node ID

Host
Node address information
-
Insert
Number of insertions per second
If update continuity is very high, it can be optimized with dirty and used analysis.
Query
Number of query requests per second
Check the index to ensure that the query has a corresponding index.
Update
Number of updates per second
1. Check the index to ensure that the query has a corresponding index.
2. If update continuity is very high, it can be optimized with dirty and used analysis.
Delete
Number of deletions per second
1. Check the index to ensure that the query has a corresponding index.
2. If delete continuity is very high, it can be optimized with dirty and used analysis.
Getmore
Number of getMore requests per second
-
Command
Command statistics per second
-
Dirty
The proportion of dirty data in storage engine cache
If dirty data persists at a high proportion (more than 20% by default), it is recommended to increase the number of threads_max in the storage engine.
Used
The percentage of used cache in the storage engine
If dirty data persists at a high proportion (more than 95% by default), it is recommended to increase the number of threads_max in the storage engine.
Flushes
Number of flushes per second
-
Vsize
Amount of virtual memory used by the process
-
Res
Amount of resident memory used by the process
-
Nonmapped
Data that is not mapped to memory
If a large amount of data is in the Nonmapped status, it is recommended to scale or optimize the memory configuration.
Faults
Number of page errors
If the number of page errors is high, it is recommended to increase physical memory, optimize query and index, use shard, or take other measures to reduce disk I/O pressure.
Qrw
Read/write waiting queue information of the client
If arw continuity approaches 128 and qrw continuity exceeds 0, it indicates that the requests are queued.
Arw
Read/write active queue information of the client
-
Net_in
Inbound traffic
-
Net_out
Outbound traffic
-
Conn
Number of connections
-
Set
Name of replica set
-
Repl
Primary/Secondary status information
-

Help and Support

Was this page helpful?

Help us improve! Rate your documentation experience in 5 mins.

Feedback