- Release Notes and Announcements
- Release Notes
- Announcements
- Announcement on Release of New Upgrade Mechanism for Kernel Minor Version
- Announcement on Optimization of Instance Storage Capacity, IOPS, and I/O Bandwidth
- Announcement on Some APIs with CAM Authentication Integrated
- Announcement on Sales Suspension of Some General Specifications
- Announcement on Some APIs Integrated with CAM Authentication
- Announcement on Some APIs with CAM Authentication Integrated
- Announcement on Change of Part of Parameters
- Announcement on Update of Database Audit Feature
- Announcement on Authentication of a Newly Added API Interface of Database Audit
- Announcement on Change of Public Network Linkage
- TDSQL-C for MySQL Audit Service Update
- Announcement on Supplementary Charge for Clusters with Pay-as-You-Go Storage Billing Mode
- Announcement on New APIs Integrated with CAM Permissions
- Announcement on the Release of New Version of Database Proxy
- Emergency Fix for Certain Monitoring Metrics
- Monitoring Metric Optimization
- Change to Database Audit Resource ID
- Ops Change
- Storage Price Adjustment Notification
- Beginner's Guide
- Product Introduction
- Kernel Features
- Kernel Overview
- Kernel Version Release Notes
- Optimized Kernel Version
- Functionality Features
- Performance Features
- Columns Syntax
- Correlated Subquery Result Cache
- Global Index
- Binlog Write Optimization
- Large Transaction Binlog Optimization
- Binlog Purging Performance Optimization
- Optimization of Plan Caching Point Query
- Auto-Increment Column Persistence
- Invisible Index
- Computation Pushdown
- Parallel Initialization of InnoDB Buffer Pool
- Security Features
- Stability Feature
- Purchase Guide
- Getting Started
- Database Audit
- Serverless Service
- Operation Guide
- Switching Cluster Page View in Console
- Database Connection
- Instance Management
- Configuration Adjustment
- Cluster Management
- Scaling Instance
- Database Proxy
- Database Proxy Overview
- Use Limits
- Database Proxy Kernel Features
- Managing Database Proxy
- Enabling Database Proxy
- Setting Database Proxy Address
- Modifying or Deleting Connection Addresses
- Viewing and Changing the Access Policy
- Rebalancing the Load
- Transaction Split Feature
- Access Mode
- Adjusting Database Proxy Configuration
- Switching Database Proxy Network
- Viewing Database Proxy Monitoring Data
- Disabling Database Proxy
- Automatic Read/Write Separation
- Connection Pool Feature
- Other Features
- Account Management
- Database Management
- Database Management Tool
- Columnar Storage Index (CSI)
- Parameter Configuration
- Multi-AZ Deployment
- Backup and Restoration
- Operation Log
- Data Migration
- Parallel Query
- 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
- API Documentation
- History
- Introduction
- API Category
- Making API Requests
- Billing APIs
- Instance APIs
- CloseClusterPasswordComplexity
- CopyClusterPasswordComplexity
- DescribeClusterDetail
- DescribeClusterPasswordComplexity
- ModifyClusterPasswordComplexity
- OpenClusterPasswordComplexity
- UpgradeClusterVersion
- UpgradeInstance
- SetRenewFlag
- OfflineCluster
- ModifyMaintainPeriodConfig
- IsolateInstance
- IsolateCluster
- DescribeMaintainPeriod
- DescribeInstanceSpecs
- DescribeClusters
- CreateClusters
- AddInstances
- OfflineInstance
- DescribeInstanceDetail
- DescribeClusterInstanceGrps
- DescribeInstances
- ActivateInstance
- ModifyInstanceName
- ModifyClusterName
- SearchClusterTables
- SearchClusterDatabases
- RestartInstance
- Multi-AZ APIs
- Account APIs
- Audit APIs
- Database Proxy APIs
- Backup and Restoration APIs
- Parameter Management APIs
- Performance Analysis APIs
- Serverless APIs
- ResourcePackage APIs
- Other APIs
- CloseWan
- CreateClusterDatabase
- DeleteClusterDatabase
- DescribeClusterDetailDatabases
- ModifyClusterDatabase
- OpenWan
- SwitchClusterVpc
- OpenReadOnlyInstanceExclusiveAccess
- OpenClusterReadOnlyInstanceGroupAccess
- ModifyDBInstanceSecurityGroups
- DescribeProjectSecurityGroups
- DescribeDBSecurityGroups
- SwitchProxyVpc
- DescribeFlow
- DescribeZones
- ModifyVipVport
- Data Types
- Error Codes
- FAQs
- Service Agreement
- TDSQL-C Policy
- General References
- Glossary
- Contact Us
- Release Notes and Announcements
- Release Notes
- Announcements
- Announcement on Release of New Upgrade Mechanism for Kernel Minor Version
- Announcement on Optimization of Instance Storage Capacity, IOPS, and I/O Bandwidth
- Announcement on Some APIs with CAM Authentication Integrated
- Announcement on Sales Suspension of Some General Specifications
- Announcement on Some APIs Integrated with CAM Authentication
- Announcement on Some APIs with CAM Authentication Integrated
- Announcement on Change of Part of Parameters
- Announcement on Update of Database Audit Feature
- Announcement on Authentication of a Newly Added API Interface of Database Audit
- Announcement on Change of Public Network Linkage
- TDSQL-C for MySQL Audit Service Update
- Announcement on Supplementary Charge for Clusters with Pay-as-You-Go Storage Billing Mode
- Announcement on New APIs Integrated with CAM Permissions
- Announcement on the Release of New Version of Database Proxy
- Emergency Fix for Certain Monitoring Metrics
- Monitoring Metric Optimization
- Change to Database Audit Resource ID
- Ops Change
- Storage Price Adjustment Notification
- Beginner's Guide
- Product Introduction
- Kernel Features
- Kernel Overview
- Kernel Version Release Notes
- Optimized Kernel Version
- Functionality Features
- Performance Features
- Columns Syntax
- Correlated Subquery Result Cache
- Global Index
- Binlog Write Optimization
- Large Transaction Binlog Optimization
- Binlog Purging Performance Optimization
- Optimization of Plan Caching Point Query
- Auto-Increment Column Persistence
- Invisible Index
- Computation Pushdown
- Parallel Initialization of InnoDB Buffer Pool
- Security Features
- Stability Feature
- Purchase Guide
- Getting Started
- Database Audit
- Serverless Service
- Operation Guide
- Switching Cluster Page View in Console
- Database Connection
- Instance Management
- Configuration Adjustment
- Cluster Management
- Scaling Instance
- Database Proxy
- Database Proxy Overview
- Use Limits
- Database Proxy Kernel Features
- Managing Database Proxy
- Enabling Database Proxy
- Setting Database Proxy Address
- Modifying or Deleting Connection Addresses
- Viewing and Changing the Access Policy
- Rebalancing the Load
- Transaction Split Feature
- Access Mode
- Adjusting Database Proxy Configuration
- Switching Database Proxy Network
- Viewing Database Proxy Monitoring Data
- Disabling Database Proxy
- Automatic Read/Write Separation
- Connection Pool Feature
- Other Features
- Account Management
- Database Management
- Database Management Tool
- Columnar Storage Index (CSI)
- Parameter Configuration
- Multi-AZ Deployment
- Backup and Restoration
- Operation Log
- Data Migration
- Parallel Query
- 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
- API Documentation
- History
- Introduction
- API Category
- Making API Requests
- Billing APIs
- Instance APIs
- CloseClusterPasswordComplexity
- CopyClusterPasswordComplexity
- DescribeClusterDetail
- DescribeClusterPasswordComplexity
- ModifyClusterPasswordComplexity
- OpenClusterPasswordComplexity
- UpgradeClusterVersion
- UpgradeInstance
- SetRenewFlag
- OfflineCluster
- ModifyMaintainPeriodConfig
- IsolateInstance
- IsolateCluster
- DescribeMaintainPeriod
- DescribeInstanceSpecs
- DescribeClusters
- CreateClusters
- AddInstances
- OfflineInstance
- DescribeInstanceDetail
- DescribeClusterInstanceGrps
- DescribeInstances
- ActivateInstance
- ModifyInstanceName
- ModifyClusterName
- SearchClusterTables
- SearchClusterDatabases
- RestartInstance
- Multi-AZ APIs
- Account APIs
- Audit APIs
- Database Proxy APIs
- Backup and Restoration APIs
- Parameter Management APIs
- Performance Analysis APIs
- Serverless APIs
- ResourcePackage APIs
- Other APIs
- CloseWan
- CreateClusterDatabase
- DeleteClusterDatabase
- DescribeClusterDetailDatabases
- ModifyClusterDatabase
- OpenWan
- SwitchClusterVpc
- OpenReadOnlyInstanceExclusiveAccess
- OpenClusterReadOnlyInstanceGroupAccess
- ModifyDBInstanceSecurityGroups
- DescribeProjectSecurityGroups
- DescribeDBSecurityGroups
- SwitchProxyVpc
- DescribeFlow
- DescribeZones
- ModifyVipVport
- Data Types
- Error Codes
- FAQs
- Service Agreement
- TDSQL-C Policy
- General References
- Glossary
- Contact Us
This document describes the background of the parallel query capability of TDSQL-C for MySQL, which helps improve the efficiency in querying large tables with a large amount of computed data.
Feature background
Traditional MySQL-based relational databases still face storage redundancy and lack elastic loading after cloud-native transformation and cloud deployment. In contrast, TDSQL-C for MySQL adopts the "log as a storage" architecture to separate computing from storage and allows compute nodes to share underlying storage through the distributed file system. This reduces user costs, makes compute nodes stateless, and implements elastic expansion and failover of computing resources within seconds.
TDSQL-C for MySQL goes beyond traditional MySQL-based relational databases in terms of computing, storage, disaster recovery, and elastic expansion; however, it still faces the following challenges:
As the internet develops, cloud-native databases become more capable of storing data, and TDSQL-C for MySQL can store petabytes of data. Forms are carrying more and more data, with some containing terabytes of data online. When it comes to large table queries, SQL statements tend to be slow due to existing technical bottlenecks, which adversely affects the business process.
The current market environment sees an increasing number of AP queries, such as report statistics and other analytical queries. Although not large in number, they involve a high data volume and are quite sensitive to query time. Gradually, data analysis capability, especially heterogeneous data processing, has become a must-have.
The above challenges are caused by the traditional technical implementation mode in the MySQL ecosystem. In particular, open-source releases support only the single-thread query mode, where only one thread (called user thread) is responsible for the parsing, optimization, and execution of a SQL statement. This mode cannot make full use of the hardware resources of modern multi-core CPUs and large memory devices, leading to a resource waste.
Therefore, it is important to streamline analysis and enhance performance by using multi-core services in the query of a large amount of data, which is also the key to query acceleration, cost reduction, and efficiency improvement. This is the so-called parallel query (PQ), one of the core techniques to build HTAP product forms.
Strengths
Performance enhancement at no extra costs: You can upgrade the kernel capabilities at no extra costs, so that you can get the most out of the instance CPU computation for quicker statement response and higher computing performance.
Transparent process monitoring: You can use various metrics to monitor the parallel query, so that you can keep track of any exceptions and keep your cluster running stably.
Support for common statements: You can use most common SQL statements in virtually any business scenarios. This helps you accelerate your business smoothly.
Flexible parameter settings: You have many parameters at hand to control the conditions of enabling or disabling parallel query. This helps you make queries smarter and more adaptable to your business scenarios with no transformation needed.
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