tencent cloud

TDSQL-C for MySQL

Release Notes and Announcements
Release Notes
Product Announcements
Beginner's Guide
Product Introduction
Overview
Strengths
Use Cases
Architecture
Product Specifications
Instance Types
Product Feature List
Database Versions
Regions and AZs
Common Concepts
Use Limits
Suggestions on Usage Specifications
Kernel Features
Kernel Overview
Kernel Version Release Notes
Optimized Kernel Version
Functionality Features
Performance Features
Security Features
Stability Feature
Analysis Engine Features
Inspection and Repair of Kernel Issues
Purchase Guide
Billing Overview
Product Pricing
Creating Cluster
Specification Adjustment Description
Renewal
Payment Overdue
Refund
Change from Pay-as-You-Go to Yearly/Monthly Subscription
Change from Pay-as-You-Go to Serverless Billing
Value-Added Services Billing Overview
Viewing Billing Statements
Getting Started
Database Audit
Overview
Viewing Audit Instance List
Enabling Audit Service
Viewing Audit Logs
Log Shipping
Post-Event Alarm Configuration
Modifying Audit Rule
Modifying Audit Service
Disabling Audit Service
Audit Rule Template
Viewing Audit Task
Authorizing Sub-User to Use Database Audit
Serverless Service
Serverless Introduction
Creating and Managing a Serverless Cluster
Elastic Scaling Management Tool
Serverless Resource Pack
Multi-AZ Deployment
Configuration Change
FAQs
Serverless Cost Estimator
Operation Guide
Operation Overview
Switching Cluster Page View in Console
Database Connection
Instance Management
Configuration Adjustment
Instance Mode Management
Cluster Management
Scaling Instance
Database Proxy
Account Management
Database Management
Database Management Tool
Parameter Configuration
Multi-AZ Deployment
GD
Backup and Restoration
Operation Log
Data Migration
Parallel Query
Columnar Storage Index (CSI)
Analysis Engine
Database Security and Encryption
Monitoring and Alarms
Basic SQL Operations
Connecting to TDSQL-C for MySQL Through SCF
Tag
Practical Tutorial
Classified Protection Practice for Database Audit of TDSQL-C for MySQL
Upgrading Database Version from MySQL 5.7 to 8.0 Through DTS
Usage Instructions for TDSQL-C MySQL
New Version of Console
Implementing Multiple RO Groups with Multiple Database Proxy Connection Addresses
Strengths of Database Proxy
Selecting Billing Mode for Storage Space
Creating Remote Disaster Recovery by DTS
Creating VPC for Cluster
Data Rollback
Solution to High CPU Utilization
How to Authorize Sub-Users to View Monitoring Data
White Paper
Security White Paper
Performance White Paper
Troubleshooting
Connection Issues
Performance Issues
API Documentation
History
Introduction
API Category
Making API Requests
Instance APIs
Multi-Availability Zone APIs
Other APIs
Audit APIs
Database Proxy APIs
Backup and Recovery APIs
Parameter Management APIs
Billing APIs
serverless APIs
Resource Package APIs
Account APIs
Performance Analysis APIs
Data Types
Error Codes
FAQs
Basic Concepts
Purchase and Billing
Compatibility and Format
Connection and Network
Features
Console Operations
Database and Table
Performance and Log
Database Audit
Between TDSQL-C for MySQL and TencentDB for MySQL
Service Agreement
Service Level Agreement
Terms of Service
TDSQL-C Policy
Privacy Policy
Data Privacy and Security Agreement
General References
Standards and Certifications
Glossary
Contact Us

Database Proxy Overview

PDF
Focus Mode
Font Size
Last updated: 2023-01-03 17:21:17
This document describes the features and use cases of the database proxy service in TDSQL-C for MySQL.
Database proxy is a network proxy service between the TencentDB service and the application service. It is used to proxy all requests when the application service accesses the database. The database proxy access address is independent of the original database access address. Requests arriving at the proxy address are all relayed through the proxy cluster to access the source and replica nodes of the database. Read/Write requests are separated, so that read requests are forwarded to read-only instances, which lowers the load of the source database.
Note:
The database proxy is currently in the beta test and will be available in more regions. If no database proxy option is offered in your cluster's region, the service is temporarily unavailable there.

Features

High stability The database proxy is deployed in the cluster architecture, with multiple nodes ensuring smooth failover.
Strong isolation The database proxy provides the proxy service for the current instance with independent resources. The resources of each proxy are isolated and not shared.
Ultra-high performance Each proxy can process up to 100,000 requests per second.
Convenient and fast scaling You can dynamically add 1–60 proxy nodes, with only 6 nodes supported during the beta test.
Comprehensive performance monitoring Performance metrics are monitored at the second level, such as the number of read/write requests, CPU, and memory. The number of proxies can be adjusted according to the monitoring data and business planning.
Hot reload When a read-write instance is switched, or its configuration is changed, or a read-only instance is added/removed, the database proxy can dynamically hot reload the configuration without causing network disconnections or restarts.
Automatic read/write separation It can effectively reduce the read load of the read-write instance when the read/write separation feature of the database proxy is enabled. Read-only instances can be added to horizontally scale the database cluster and automatically implement read/write separation, which eliminates the complexity of manually separating read and write requests of the business. This is especially suitable for scenarios with a high read load. After the read/write separation feature of the database proxy is enabled, only one proxy connection address needs to be configured in the application. This address will automatically implement read/write separation and send read requests to read-only instances and write requests to the read-write instance. Even if you add or remove read-only instances, you don't need to adjust the application settings.

Use Cases

Businesses with low performance when there is a large number of non-persistent connections.
Businesses use multiple read-only instances, and read/write separation is implemented manually on applications, resulting in higher maintenance costs and risks.
High instance loading caused by too many connections.

Help and Support

Was this page helpful?

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

Feedback