SlideShare una empresa de Scribd logo
1 de 23
Qinglin Zhang
TXSQL Team @ Tencent
CynosDB @ Tencent Cloud
guyue.zql@gmail.com
Preview
Tencent
Tencent Cloud
TXSQL
CDB
Agenda
• Why CynosDB ?
• Architecture
• TXStore for CynosDB
• TXSQL for CynosDB
• Future of CynosDB
Why CynosDB?
User Challenges:
✓ Scalability: fast scale up/down, fast scalable read
✓ Cost: pay on-demand
✓ Replication: binlog, DDL/big transaction
✓ BufferPool: read & write cache, the disadvantage of flushing
Traditional MySQL Challenges:
The Architecture of CynosDB
✓ Separate storage from MySQL
✓ Log is database, write once
Architecture
slave
TXSQL
master
TXSQL
slave
TXSQL
…CELL CELL CELLCELL
TXStore
MDS
redo
TXStore for CynosDB
TXStore core for CynosDB
✓ Replication protocol
✓ Computational storage
✓ Multi version page
MySQL Master
SQL Layer
Engine Layer
①send log record
LogPool
RingQueue
MemTable
InnoDB Page
③ack
②Replicate log record
Primary Storage Node
Replica Storage Node
Replica Storage Node
④push to memtable
⑤Apply logs to InnoDB Page
sync
async
TXStore core details
Disk
②flush to disk
TXStore performance for CynosDB
✓ SPDK(user space api)
✓ RDMA
✓ Reconstruct redo log
✓ …
✓ Jemalloc integrated
TXSQL for CynosDB
The Brief of TXSQL
✓ Tencent MySQL(Compatible with Oracle MySQL5.5/5.6/5.7)
✓ Support Tencent Cloud (TencentDB for CDB)
✓ The Component of TXSQL
TXSQL for MySQL TXSQL for NewCDB TXSQL for RocksDB
TXSQL CynosDB TXRocks TXTools
Backup/Recovery/Checksum
TXSQL core for CynosDB
✓ Crash Recovery
✓ Remote Storage based on TXStore
✓ System tables converted to Innodb
✓ Redo log Replication
✓ Redo for bulk load create index
✓ Parallel redo log copy optimization
✓ MVCC
Parallel redo log copy optimization
mtr_commitTrx_1
Trx_2
Trx_m
mtr_commit
Reduce log_sys->mutex occupancy time to improve perforemance
mtr_commit
mutex_enter calc lsn mutex_exit copy redo log
mutex_enter calc lsn mutex_exit copy redo log
mutex_enter calc lsn mutex_exit copy redo log
Parallel redo log replication
mtr_commit
mtr_commit
……
mtr_commit
log_sys->write_buf
log_write_thread
redo_log_receiver_thread redo_log_coor_thread
redo_log_worker_thread
redo_log_worker_thread
redo_log_worker_thread
TXSQL performance for CynosDB
✓ Redo Log optimization for flush
✓ Asyc Thread Pool Commit
✓ Trx sys optimization
✓ …
✓ Jemalloc integrated
✓ Async DDL Replication
Async Thread Pool Commit
listener thread (pollfd)
... wroker threadwroker thread
high_prio_queue queue
handle_event
get_event
handle_event
get_event
clientclient …… client
thread_group_oversubscribe
log_write_up_to log_write_up_to
✓ Sync wait converted to async
✓ Enlarge high-priority-queue
✓ Thread pool & one-thread-per-connection
Async DDL Replication
Async DDL Support in CynosDB
Frm files stored in Innodb
Multi page version from TXStore
Synchronized by redo log
master slave
read old Table
begin
end
DDL start
DDL end
read new Table
table was locked
Asynchronous DDL
cost most time of DDL,replica can read
cost little time of DDL,master can't read
TXSQL feature for CynosDB
✓ Aggregate pushdown to InnoDB
✓ Enterprise Encryption
✓ INVISIBLE INDEX
✓ Instant DDL Operation
✓ Asynchronous DROP TABLE
✓ …
Instant DDL Operation
✓ Add column at designed order
✓ Change column order
✓ Change default value
Future of CynosDB
✓ CDBTune(Intelligent tuning)
✓ Multi Master
✓ …
✓ PITR

Más contenido relacionado

La actualidad más candente

M|18 Creating a Reference Architecture for High Availability at Nokia
M|18 Creating a Reference Architecture for High Availability at NokiaM|18 Creating a Reference Architecture for High Availability at Nokia
M|18 Creating a Reference Architecture for High Availability at NokiaMariaDB plc
 
MariaDB Server Performance Tuning & Optimization
MariaDB Server Performance Tuning & OptimizationMariaDB Server Performance Tuning & Optimization
MariaDB Server Performance Tuning & OptimizationMariaDB plc
 
How we switched to columnar at SpendHQ
How we switched to columnar at SpendHQHow we switched to columnar at SpendHQ
How we switched to columnar at SpendHQMariaDB plc
 
Extending MariaDB with user-defined functions
Extending MariaDB with user-defined functionsExtending MariaDB with user-defined functions
Extending MariaDB with user-defined functionsMariaDB plc
 
Writing powerful stored procedures in PL/SQL
Writing powerful stored procedures in PL/SQLWriting powerful stored procedures in PL/SQL
Writing powerful stored procedures in PL/SQLMariaDB plc
 
MyDUMPER : Faster logical backups and restores
MyDUMPER : Faster logical backups and restores MyDUMPER : Faster logical backups and restores
MyDUMPER : Faster logical backups and restores Mydbops
 
M|18 How DBAs at TradingScreen Make Life Easier With Automation
M|18 How DBAs at TradingScreen Make Life Easier With AutomationM|18 How DBAs at TradingScreen Make Life Easier With Automation
M|18 How DBAs at TradingScreen Make Life Easier With AutomationMariaDB plc
 
M|18 Writing Stored Procedures in the Real World
M|18 Writing Stored Procedures in the Real WorldM|18 Writing Stored Procedures in the Real World
M|18 Writing Stored Procedures in the Real WorldMariaDB plc
 
Evolution of DBA in the Cloud Era
 Evolution of DBA in the Cloud Era Evolution of DBA in the Cloud Era
Evolution of DBA in the Cloud EraMydbops
 
M|18 Analyzing Data with the MariaDB AX Platform
M|18 Analyzing Data with the MariaDB AX PlatformM|18 Analyzing Data with the MariaDB AX Platform
M|18 Analyzing Data with the MariaDB AX PlatformMariaDB plc
 
M|18 Running MariaDB TX on Containers
M|18 Running MariaDB TX on ContainersM|18 Running MariaDB TX on Containers
M|18 Running MariaDB TX on ContainersMariaDB plc
 
Wars of MySQL Cluster ( InnoDB Cluster VS Galera )
Wars of MySQL Cluster ( InnoDB Cluster VS Galera ) Wars of MySQL Cluster ( InnoDB Cluster VS Galera )
Wars of MySQL Cluster ( InnoDB Cluster VS Galera ) Mydbops
 
MySQL topology healing at OLA.
MySQL topology healing at OLA.MySQL topology healing at OLA.
MySQL topology healing at OLA.Mydbops
 
MySQL on AWS RDS
MySQL on AWS RDSMySQL on AWS RDS
MySQL on AWS RDSMydbops
 
Optimizing MariaDB for maximum performance
Optimizing MariaDB for maximum performanceOptimizing MariaDB for maximum performance
Optimizing MariaDB for maximum performanceMariaDB plc
 
hbaseconasia2017: hbase-2.0.0
hbaseconasia2017: hbase-2.0.0hbaseconasia2017: hbase-2.0.0
hbaseconasia2017: hbase-2.0.0HBaseCon
 
Application Caching: The Hidden Microservice
Application Caching: The Hidden MicroserviceApplication Caching: The Hidden Microservice
Application Caching: The Hidden MicroserviceScott Mansfield
 
hbaseconasia2017: Large scale data near-line loading method and architecture
hbaseconasia2017: Large scale data near-line loading method and architecturehbaseconasia2017: Large scale data near-line loading method and architecture
hbaseconasia2017: Large scale data near-line loading method and architectureHBaseCon
 
MariaDB Performance Tuning and Optimization
MariaDB Performance Tuning and OptimizationMariaDB Performance Tuning and Optimization
MariaDB Performance Tuning and OptimizationMariaDB plc
 
MySQL Server Backup, Restoration, and Disaster Recovery Planning
MySQL Server Backup, Restoration, and Disaster Recovery PlanningMySQL Server Backup, Restoration, and Disaster Recovery Planning
MySQL Server Backup, Restoration, and Disaster Recovery PlanningLenz Grimmer
 

La actualidad más candente (20)

M|18 Creating a Reference Architecture for High Availability at Nokia
M|18 Creating a Reference Architecture for High Availability at NokiaM|18 Creating a Reference Architecture for High Availability at Nokia
M|18 Creating a Reference Architecture for High Availability at Nokia
 
MariaDB Server Performance Tuning & Optimization
MariaDB Server Performance Tuning & OptimizationMariaDB Server Performance Tuning & Optimization
MariaDB Server Performance Tuning & Optimization
 
How we switched to columnar at SpendHQ
How we switched to columnar at SpendHQHow we switched to columnar at SpendHQ
How we switched to columnar at SpendHQ
 
Extending MariaDB with user-defined functions
Extending MariaDB with user-defined functionsExtending MariaDB with user-defined functions
Extending MariaDB with user-defined functions
 
Writing powerful stored procedures in PL/SQL
Writing powerful stored procedures in PL/SQLWriting powerful stored procedures in PL/SQL
Writing powerful stored procedures in PL/SQL
 
MyDUMPER : Faster logical backups and restores
MyDUMPER : Faster logical backups and restores MyDUMPER : Faster logical backups and restores
MyDUMPER : Faster logical backups and restores
 
M|18 How DBAs at TradingScreen Make Life Easier With Automation
M|18 How DBAs at TradingScreen Make Life Easier With AutomationM|18 How DBAs at TradingScreen Make Life Easier With Automation
M|18 How DBAs at TradingScreen Make Life Easier With Automation
 
M|18 Writing Stored Procedures in the Real World
M|18 Writing Stored Procedures in the Real WorldM|18 Writing Stored Procedures in the Real World
M|18 Writing Stored Procedures in the Real World
 
Evolution of DBA in the Cloud Era
 Evolution of DBA in the Cloud Era Evolution of DBA in the Cloud Era
Evolution of DBA in the Cloud Era
 
M|18 Analyzing Data with the MariaDB AX Platform
M|18 Analyzing Data with the MariaDB AX PlatformM|18 Analyzing Data with the MariaDB AX Platform
M|18 Analyzing Data with the MariaDB AX Platform
 
M|18 Running MariaDB TX on Containers
M|18 Running MariaDB TX on ContainersM|18 Running MariaDB TX on Containers
M|18 Running MariaDB TX on Containers
 
Wars of MySQL Cluster ( InnoDB Cluster VS Galera )
Wars of MySQL Cluster ( InnoDB Cluster VS Galera ) Wars of MySQL Cluster ( InnoDB Cluster VS Galera )
Wars of MySQL Cluster ( InnoDB Cluster VS Galera )
 
MySQL topology healing at OLA.
MySQL topology healing at OLA.MySQL topology healing at OLA.
MySQL topology healing at OLA.
 
MySQL on AWS RDS
MySQL on AWS RDSMySQL on AWS RDS
MySQL on AWS RDS
 
Optimizing MariaDB for maximum performance
Optimizing MariaDB for maximum performanceOptimizing MariaDB for maximum performance
Optimizing MariaDB for maximum performance
 
hbaseconasia2017: hbase-2.0.0
hbaseconasia2017: hbase-2.0.0hbaseconasia2017: hbase-2.0.0
hbaseconasia2017: hbase-2.0.0
 
Application Caching: The Hidden Microservice
Application Caching: The Hidden MicroserviceApplication Caching: The Hidden Microservice
Application Caching: The Hidden Microservice
 
hbaseconasia2017: Large scale data near-line loading method and architecture
hbaseconasia2017: Large scale data near-line loading method and architecturehbaseconasia2017: Large scale data near-line loading method and architecture
hbaseconasia2017: Large scale data near-line loading method and architecture
 
MariaDB Performance Tuning and Optimization
MariaDB Performance Tuning and OptimizationMariaDB Performance Tuning and Optimization
MariaDB Performance Tuning and Optimization
 
MySQL Server Backup, Restoration, and Disaster Recovery Planning
MySQL Server Backup, Restoration, and Disaster Recovery PlanningMySQL Server Backup, Restoration, and Disaster Recovery Planning
MySQL Server Backup, Restoration, and Disaster Recovery Planning
 

Similar a Inside CynosDB: MariaDB optimized for the cloud at Tencent

Seastore: Next Generation Backing Store for Ceph
Seastore: Next Generation Backing Store for CephSeastore: Next Generation Backing Store for Ceph
Seastore: Next Generation Backing Store for CephScyllaDB
 
Seastore: Next Generation Backing Store for Ceph
Seastore: Next Generation Backing Store for CephSeastore: Next Generation Backing Store for Ceph
Seastore: Next Generation Backing Store for CephScyllaDB
 
Sql server engine cpu cache as the new ram
Sql server engine cpu cache as the new ramSql server engine cpu cache as the new ram
Sql server engine cpu cache as the new ramChris Adkin
 
SQL Server It Just Runs Faster
SQL Server It Just Runs FasterSQL Server It Just Runs Faster
SQL Server It Just Runs FasterBob Ward
 
Clug 2012 March web server optimisation
Clug 2012 March   web server optimisationClug 2012 March   web server optimisation
Clug 2012 March web server optimisationgrooverdan
 
MongoDB WiredTiger Internals
MongoDB WiredTiger InternalsMongoDB WiredTiger Internals
MongoDB WiredTiger InternalsNorberto Leite
 
Persistent Memory Programming with Java*
Persistent Memory Programming with Java*Persistent Memory Programming with Java*
Persistent Memory Programming with Java*Intel® Software
 
Caching and tuning fun for high scalability
Caching and tuning fun for high scalabilityCaching and tuning fun for high scalability
Caching and tuning fun for high scalabilityWim Godden
 
Introduction to apache kafka
Introduction to apache kafkaIntroduction to apache kafka
Introduction to apache kafkaSamuel Kerrien
 
Varnish http accelerator
Varnish http acceleratorVarnish http accelerator
Varnish http acceleratorno no
 
Gnocchi v3 brownbag
Gnocchi v3 brownbagGnocchi v3 brownbag
Gnocchi v3 brownbagGordon Chung
 
Nytro-XV_NWD_VM_Performance_Acceleration
Nytro-XV_NWD_VM_Performance_AccelerationNytro-XV_NWD_VM_Performance_Acceleration
Nytro-XV_NWD_VM_Performance_AccelerationKhai Le
 
Logging for Production Systems in The Container Era
Logging for Production Systems in The Container EraLogging for Production Systems in The Container Era
Logging for Production Systems in The Container EraSadayuki Furuhashi
 
MySQL configuration - The most important Variables
MySQL configuration - The most important VariablesMySQL configuration - The most important Variables
MySQL configuration - The most important VariablesFromDual GmbH
 
[db tech showcase Tokyo 2018] #dbts2018 #B17 『オラクル パフォーマンス チューニング - 神話、伝説と解決策』
[db tech showcase Tokyo 2018] #dbts2018 #B17 『オラクル パフォーマンス チューニング - 神話、伝説と解決策』[db tech showcase Tokyo 2018] #dbts2018 #B17 『オラクル パフォーマンス チューニング - 神話、伝説と解決策』
[db tech showcase Tokyo 2018] #dbts2018 #B17 『オラクル パフォーマンス チューニング - 神話、伝説と解決策』Insight Technology, Inc.
 
Von A bis Z-itrix: Installieren Sie den stabilsten und schnellsten HCL Notes-...
Von A bis Z-itrix: Installieren Sie den stabilsten und schnellsten HCL Notes-...Von A bis Z-itrix: Installieren Sie den stabilsten und schnellsten HCL Notes-...
Von A bis Z-itrix: Installieren Sie den stabilsten und schnellsten HCL Notes-...panagenda
 
Ceph Day Beijing - Ceph all-flash array design based on NUMA architecture
Ceph Day Beijing - Ceph all-flash array design based on NUMA architectureCeph Day Beijing - Ceph all-flash array design based on NUMA architecture
Ceph Day Beijing - Ceph all-flash array design based on NUMA architectureCeph Community
 
Ceph Day Beijing - Ceph All-Flash Array Design Based on NUMA Architecture
Ceph Day Beijing - Ceph All-Flash Array Design Based on NUMA ArchitectureCeph Day Beijing - Ceph All-Flash Array Design Based on NUMA Architecture
Ceph Day Beijing - Ceph All-Flash Array Design Based on NUMA ArchitectureDanielle Womboldt
 
Replacing Your Cache with ScyllaDB
Replacing Your Cache with ScyllaDBReplacing Your Cache with ScyllaDB
Replacing Your Cache with ScyllaDBScyllaDB
 

Similar a Inside CynosDB: MariaDB optimized for the cloud at Tencent (20)

Seastore: Next Generation Backing Store for Ceph
Seastore: Next Generation Backing Store for CephSeastore: Next Generation Backing Store for Ceph
Seastore: Next Generation Backing Store for Ceph
 
Seastore: Next Generation Backing Store for Ceph
Seastore: Next Generation Backing Store for CephSeastore: Next Generation Backing Store for Ceph
Seastore: Next Generation Backing Store for Ceph
 
Sql server engine cpu cache as the new ram
Sql server engine cpu cache as the new ramSql server engine cpu cache as the new ram
Sql server engine cpu cache as the new ram
 
SQL Server It Just Runs Faster
SQL Server It Just Runs FasterSQL Server It Just Runs Faster
SQL Server It Just Runs Faster
 
Clug 2012 March web server optimisation
Clug 2012 March   web server optimisationClug 2012 March   web server optimisation
Clug 2012 March web server optimisation
 
EVCache & Moneta (GoSF)
EVCache & Moneta (GoSF)EVCache & Moneta (GoSF)
EVCache & Moneta (GoSF)
 
MongoDB WiredTiger Internals
MongoDB WiredTiger InternalsMongoDB WiredTiger Internals
MongoDB WiredTiger Internals
 
Persistent Memory Programming with Java*
Persistent Memory Programming with Java*Persistent Memory Programming with Java*
Persistent Memory Programming with Java*
 
Caching and tuning fun for high scalability
Caching and tuning fun for high scalabilityCaching and tuning fun for high scalability
Caching and tuning fun for high scalability
 
Introduction to apache kafka
Introduction to apache kafkaIntroduction to apache kafka
Introduction to apache kafka
 
Varnish http accelerator
Varnish http acceleratorVarnish http accelerator
Varnish http accelerator
 
Gnocchi v3 brownbag
Gnocchi v3 brownbagGnocchi v3 brownbag
Gnocchi v3 brownbag
 
Nytro-XV_NWD_VM_Performance_Acceleration
Nytro-XV_NWD_VM_Performance_AccelerationNytro-XV_NWD_VM_Performance_Acceleration
Nytro-XV_NWD_VM_Performance_Acceleration
 
Logging for Production Systems in The Container Era
Logging for Production Systems in The Container EraLogging for Production Systems in The Container Era
Logging for Production Systems in The Container Era
 
MySQL configuration - The most important Variables
MySQL configuration - The most important VariablesMySQL configuration - The most important Variables
MySQL configuration - The most important Variables
 
[db tech showcase Tokyo 2018] #dbts2018 #B17 『オラクル パフォーマンス チューニング - 神話、伝説と解決策』
[db tech showcase Tokyo 2018] #dbts2018 #B17 『オラクル パフォーマンス チューニング - 神話、伝説と解決策』[db tech showcase Tokyo 2018] #dbts2018 #B17 『オラクル パフォーマンス チューニング - 神話、伝説と解決策』
[db tech showcase Tokyo 2018] #dbts2018 #B17 『オラクル パフォーマンス チューニング - 神話、伝説と解決策』
 
Von A bis Z-itrix: Installieren Sie den stabilsten und schnellsten HCL Notes-...
Von A bis Z-itrix: Installieren Sie den stabilsten und schnellsten HCL Notes-...Von A bis Z-itrix: Installieren Sie den stabilsten und schnellsten HCL Notes-...
Von A bis Z-itrix: Installieren Sie den stabilsten und schnellsten HCL Notes-...
 
Ceph Day Beijing - Ceph all-flash array design based on NUMA architecture
Ceph Day Beijing - Ceph all-flash array design based on NUMA architectureCeph Day Beijing - Ceph all-flash array design based on NUMA architecture
Ceph Day Beijing - Ceph all-flash array design based on NUMA architecture
 
Ceph Day Beijing - Ceph All-Flash Array Design Based on NUMA Architecture
Ceph Day Beijing - Ceph All-Flash Array Design Based on NUMA ArchitectureCeph Day Beijing - Ceph All-Flash Array Design Based on NUMA Architecture
Ceph Day Beijing - Ceph All-Flash Array Design Based on NUMA Architecture
 
Replacing Your Cache with ScyllaDB
Replacing Your Cache with ScyllaDBReplacing Your Cache with ScyllaDB
Replacing Your Cache with ScyllaDB
 

Más de MariaDB plc

MariaDB Paris Workshop 2023 - MaxScale 23.02.x
MariaDB Paris Workshop 2023 - MaxScale 23.02.xMariaDB Paris Workshop 2023 - MaxScale 23.02.x
MariaDB Paris Workshop 2023 - MaxScale 23.02.xMariaDB plc
 
MariaDB Paris Workshop 2023 - Newpharma
MariaDB Paris Workshop 2023 - NewpharmaMariaDB Paris Workshop 2023 - Newpharma
MariaDB Paris Workshop 2023 - NewpharmaMariaDB plc
 
MariaDB Paris Workshop 2023 - Cloud
MariaDB Paris Workshop 2023 - CloudMariaDB Paris Workshop 2023 - Cloud
MariaDB Paris Workshop 2023 - CloudMariaDB plc
 
MariaDB Paris Workshop 2023 - MariaDB Enterprise
MariaDB Paris Workshop 2023 - MariaDB EnterpriseMariaDB Paris Workshop 2023 - MariaDB Enterprise
MariaDB Paris Workshop 2023 - MariaDB EnterpriseMariaDB plc
 
MariaDB Paris Workshop 2023 - Performance Optimization
MariaDB Paris Workshop 2023 - Performance OptimizationMariaDB Paris Workshop 2023 - Performance Optimization
MariaDB Paris Workshop 2023 - Performance OptimizationMariaDB plc
 
MariaDB Paris Workshop 2023 - MaxScale
MariaDB Paris Workshop 2023 - MaxScale MariaDB Paris Workshop 2023 - MaxScale
MariaDB Paris Workshop 2023 - MaxScale MariaDB plc
 
MariaDB Paris Workshop 2023 - novadys presentation
MariaDB Paris Workshop 2023 - novadys presentationMariaDB Paris Workshop 2023 - novadys presentation
MariaDB Paris Workshop 2023 - novadys presentationMariaDB plc
 
MariaDB Paris Workshop 2023 - DARVA presentation
MariaDB Paris Workshop 2023 - DARVA presentationMariaDB Paris Workshop 2023 - DARVA presentation
MariaDB Paris Workshop 2023 - DARVA presentationMariaDB plc
 
MariaDB Tech und Business Update Hamburg 2023 - MariaDB Enterprise Server
MariaDB Tech und Business Update Hamburg 2023 - MariaDB Enterprise Server MariaDB Tech und Business Update Hamburg 2023 - MariaDB Enterprise Server
MariaDB Tech und Business Update Hamburg 2023 - MariaDB Enterprise Server MariaDB plc
 
MariaDB SkySQL Autonome Skalierung, Observability, Cloud-Backup
MariaDB SkySQL Autonome Skalierung, Observability, Cloud-BackupMariaDB SkySQL Autonome Skalierung, Observability, Cloud-Backup
MariaDB SkySQL Autonome Skalierung, Observability, Cloud-BackupMariaDB plc
 
Einführung : MariaDB Tech und Business Update Hamburg 2023
Einführung : MariaDB Tech und Business Update Hamburg 2023Einführung : MariaDB Tech und Business Update Hamburg 2023
Einführung : MariaDB Tech und Business Update Hamburg 2023MariaDB plc
 
Hochverfügbarkeitslösungen mit MariaDB
Hochverfügbarkeitslösungen mit MariaDBHochverfügbarkeitslösungen mit MariaDB
Hochverfügbarkeitslösungen mit MariaDBMariaDB plc
 
Die Neuheiten in MariaDB Enterprise Server
Die Neuheiten in MariaDB Enterprise ServerDie Neuheiten in MariaDB Enterprise Server
Die Neuheiten in MariaDB Enterprise ServerMariaDB plc
 
Global Data Replication with Galera for Ansell Guardian®
Global Data Replication with Galera for Ansell Guardian®Global Data Replication with Galera for Ansell Guardian®
Global Data Replication with Galera for Ansell Guardian®MariaDB plc
 
Introducing workload analysis
Introducing workload analysisIntroducing workload analysis
Introducing workload analysisMariaDB plc
 
Under the hood: SkySQL monitoring
Under the hood: SkySQL monitoringUnder the hood: SkySQL monitoring
Under the hood: SkySQL monitoringMariaDB plc
 
Introducing the R2DBC async Java connector
Introducing the R2DBC async Java connectorIntroducing the R2DBC async Java connector
Introducing the R2DBC async Java connectorMariaDB plc
 
MariaDB Enterprise Tools introduction
MariaDB Enterprise Tools introductionMariaDB Enterprise Tools introduction
MariaDB Enterprise Tools introductionMariaDB plc
 
Faster, better, stronger: The new InnoDB
Faster, better, stronger: The new InnoDBFaster, better, stronger: The new InnoDB
Faster, better, stronger: The new InnoDBMariaDB plc
 
The architecture of SkySQL
The architecture of SkySQLThe architecture of SkySQL
The architecture of SkySQLMariaDB plc
 

Más de MariaDB plc (20)

MariaDB Paris Workshop 2023 - MaxScale 23.02.x
MariaDB Paris Workshop 2023 - MaxScale 23.02.xMariaDB Paris Workshop 2023 - MaxScale 23.02.x
MariaDB Paris Workshop 2023 - MaxScale 23.02.x
 
MariaDB Paris Workshop 2023 - Newpharma
MariaDB Paris Workshop 2023 - NewpharmaMariaDB Paris Workshop 2023 - Newpharma
MariaDB Paris Workshop 2023 - Newpharma
 
MariaDB Paris Workshop 2023 - Cloud
MariaDB Paris Workshop 2023 - CloudMariaDB Paris Workshop 2023 - Cloud
MariaDB Paris Workshop 2023 - Cloud
 
MariaDB Paris Workshop 2023 - MariaDB Enterprise
MariaDB Paris Workshop 2023 - MariaDB EnterpriseMariaDB Paris Workshop 2023 - MariaDB Enterprise
MariaDB Paris Workshop 2023 - MariaDB Enterprise
 
MariaDB Paris Workshop 2023 - Performance Optimization
MariaDB Paris Workshop 2023 - Performance OptimizationMariaDB Paris Workshop 2023 - Performance Optimization
MariaDB Paris Workshop 2023 - Performance Optimization
 
MariaDB Paris Workshop 2023 - MaxScale
MariaDB Paris Workshop 2023 - MaxScale MariaDB Paris Workshop 2023 - MaxScale
MariaDB Paris Workshop 2023 - MaxScale
 
MariaDB Paris Workshop 2023 - novadys presentation
MariaDB Paris Workshop 2023 - novadys presentationMariaDB Paris Workshop 2023 - novadys presentation
MariaDB Paris Workshop 2023 - novadys presentation
 
MariaDB Paris Workshop 2023 - DARVA presentation
MariaDB Paris Workshop 2023 - DARVA presentationMariaDB Paris Workshop 2023 - DARVA presentation
MariaDB Paris Workshop 2023 - DARVA presentation
 
MariaDB Tech und Business Update Hamburg 2023 - MariaDB Enterprise Server
MariaDB Tech und Business Update Hamburg 2023 - MariaDB Enterprise Server MariaDB Tech und Business Update Hamburg 2023 - MariaDB Enterprise Server
MariaDB Tech und Business Update Hamburg 2023 - MariaDB Enterprise Server
 
MariaDB SkySQL Autonome Skalierung, Observability, Cloud-Backup
MariaDB SkySQL Autonome Skalierung, Observability, Cloud-BackupMariaDB SkySQL Autonome Skalierung, Observability, Cloud-Backup
MariaDB SkySQL Autonome Skalierung, Observability, Cloud-Backup
 
Einführung : MariaDB Tech und Business Update Hamburg 2023
Einführung : MariaDB Tech und Business Update Hamburg 2023Einführung : MariaDB Tech und Business Update Hamburg 2023
Einführung : MariaDB Tech und Business Update Hamburg 2023
 
Hochverfügbarkeitslösungen mit MariaDB
Hochverfügbarkeitslösungen mit MariaDBHochverfügbarkeitslösungen mit MariaDB
Hochverfügbarkeitslösungen mit MariaDB
 
Die Neuheiten in MariaDB Enterprise Server
Die Neuheiten in MariaDB Enterprise ServerDie Neuheiten in MariaDB Enterprise Server
Die Neuheiten in MariaDB Enterprise Server
 
Global Data Replication with Galera for Ansell Guardian®
Global Data Replication with Galera for Ansell Guardian®Global Data Replication with Galera for Ansell Guardian®
Global Data Replication with Galera for Ansell Guardian®
 
Introducing workload analysis
Introducing workload analysisIntroducing workload analysis
Introducing workload analysis
 
Under the hood: SkySQL monitoring
Under the hood: SkySQL monitoringUnder the hood: SkySQL monitoring
Under the hood: SkySQL monitoring
 
Introducing the R2DBC async Java connector
Introducing the R2DBC async Java connectorIntroducing the R2DBC async Java connector
Introducing the R2DBC async Java connector
 
MariaDB Enterprise Tools introduction
MariaDB Enterprise Tools introductionMariaDB Enterprise Tools introduction
MariaDB Enterprise Tools introduction
 
Faster, better, stronger: The new InnoDB
Faster, better, stronger: The new InnoDBFaster, better, stronger: The new InnoDB
Faster, better, stronger: The new InnoDB
 
The architecture of SkySQL
The architecture of SkySQLThe architecture of SkySQL
The architecture of SkySQL
 

Último

Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...
Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...
Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...OnePlan Solutions
 
The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...
The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...
The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...ICS
 
5 Signs You Need a Fashion PLM Software.pdf
5 Signs You Need a Fashion PLM Software.pdf5 Signs You Need a Fashion PLM Software.pdf
5 Signs You Need a Fashion PLM Software.pdfWave PLM
 
How to Choose the Right Laravel Development Partner in New York City_compress...
How to Choose the Right Laravel Development Partner in New York City_compress...How to Choose the Right Laravel Development Partner in New York City_compress...
How to Choose the Right Laravel Development Partner in New York City_compress...software pro Development
 
Right Money Management App For Your Financial Goals
Right Money Management App For Your Financial GoalsRight Money Management App For Your Financial Goals
Right Money Management App For Your Financial GoalsJhone kinadey
 
AI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
AI Mastery 201: Elevating Your Workflow with Advanced LLM TechniquesAI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
AI Mastery 201: Elevating Your Workflow with Advanced LLM TechniquesVictorSzoltysek
 
Unveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
Unveiling the Tech Salsa of LAMs with Janus in Real-Time ApplicationsUnveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
Unveiling the Tech Salsa of LAMs with Janus in Real-Time ApplicationsAlberto González Trastoy
 
W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...
W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...
W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...panagenda
 
Optimizing AI for immediate response in Smart CCTV
Optimizing AI for immediate response in Smart CCTVOptimizing AI for immediate response in Smart CCTV
Optimizing AI for immediate response in Smart CCTVshikhaohhpro
 
AI & Machine Learning Presentation Template
AI & Machine Learning Presentation TemplateAI & Machine Learning Presentation Template
AI & Machine Learning Presentation TemplatePresentation.STUDIO
 
Introducing Microsoft’s new Enterprise Work Management (EWM) Solution
Introducing Microsoft’s new Enterprise Work Management (EWM) SolutionIntroducing Microsoft’s new Enterprise Work Management (EWM) Solution
Introducing Microsoft’s new Enterprise Work Management (EWM) SolutionOnePlan Solutions
 
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...Steffen Staab
 
Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...
Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...
Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...harshavardhanraghave
 
Unlocking the Future of AI Agents with Large Language Models
Unlocking the Future of AI Agents with Large Language ModelsUnlocking the Future of AI Agents with Large Language Models
Unlocking the Future of AI Agents with Large Language Modelsaagamshah0812
 
introduction-to-automotive Andoid os-csimmonds-ndctechtown-2021.pdf
introduction-to-automotive Andoid os-csimmonds-ndctechtown-2021.pdfintroduction-to-automotive Andoid os-csimmonds-ndctechtown-2021.pdf
introduction-to-automotive Andoid os-csimmonds-ndctechtown-2021.pdfVishalKumarJha10
 
A Secure and Reliable Document Management System is Essential.docx
A Secure and Reliable Document Management System is Essential.docxA Secure and Reliable Document Management System is Essential.docx
A Secure and Reliable Document Management System is Essential.docxComplianceQuest1
 
Direct Style Effect Systems - The Print[A] Example - A Comprehension Aid
Direct Style Effect Systems -The Print[A] Example- A Comprehension AidDirect Style Effect Systems -The Print[A] Example- A Comprehension Aid
Direct Style Effect Systems - The Print[A] Example - A Comprehension AidPhilip Schwarz
 
HR Software Buyers Guide in 2024 - HRSoftware.com
HR Software Buyers Guide in 2024 - HRSoftware.comHR Software Buyers Guide in 2024 - HRSoftware.com
HR Software Buyers Guide in 2024 - HRSoftware.comFatema Valibhai
 
VTU technical seminar 8Th Sem on Scikit-learn
VTU technical seminar 8Th Sem on Scikit-learnVTU technical seminar 8Th Sem on Scikit-learn
VTU technical seminar 8Th Sem on Scikit-learnAmarnathKambale
 

Último (20)

Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...
Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...
Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...
 
The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...
The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...
The Real-World Challenges of Medical Device Cybersecurity- Mitigating Vulnera...
 
5 Signs You Need a Fashion PLM Software.pdf
5 Signs You Need a Fashion PLM Software.pdf5 Signs You Need a Fashion PLM Software.pdf
5 Signs You Need a Fashion PLM Software.pdf
 
How to Choose the Right Laravel Development Partner in New York City_compress...
How to Choose the Right Laravel Development Partner in New York City_compress...How to Choose the Right Laravel Development Partner in New York City_compress...
How to Choose the Right Laravel Development Partner in New York City_compress...
 
Right Money Management App For Your Financial Goals
Right Money Management App For Your Financial GoalsRight Money Management App For Your Financial Goals
Right Money Management App For Your Financial Goals
 
AI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
AI Mastery 201: Elevating Your Workflow with Advanced LLM TechniquesAI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
AI Mastery 201: Elevating Your Workflow with Advanced LLM Techniques
 
Unveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
Unveiling the Tech Salsa of LAMs with Janus in Real-Time ApplicationsUnveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
Unveiling the Tech Salsa of LAMs with Janus in Real-Time Applications
 
Vip Call Girls Noida ➡️ Delhi ➡️ 9999965857 No Advance 24HRS Live
Vip Call Girls Noida ➡️ Delhi ➡️ 9999965857 No Advance 24HRS LiveVip Call Girls Noida ➡️ Delhi ➡️ 9999965857 No Advance 24HRS Live
Vip Call Girls Noida ➡️ Delhi ➡️ 9999965857 No Advance 24HRS Live
 
W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...
W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...
W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...
 
Optimizing AI for immediate response in Smart CCTV
Optimizing AI for immediate response in Smart CCTVOptimizing AI for immediate response in Smart CCTV
Optimizing AI for immediate response in Smart CCTV
 
AI & Machine Learning Presentation Template
AI & Machine Learning Presentation TemplateAI & Machine Learning Presentation Template
AI & Machine Learning Presentation Template
 
Introducing Microsoft’s new Enterprise Work Management (EWM) Solution
Introducing Microsoft’s new Enterprise Work Management (EWM) SolutionIntroducing Microsoft’s new Enterprise Work Management (EWM) Solution
Introducing Microsoft’s new Enterprise Work Management (EWM) Solution
 
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...
 
Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...
Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...
Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...
 
Unlocking the Future of AI Agents with Large Language Models
Unlocking the Future of AI Agents with Large Language ModelsUnlocking the Future of AI Agents with Large Language Models
Unlocking the Future of AI Agents with Large Language Models
 
introduction-to-automotive Andoid os-csimmonds-ndctechtown-2021.pdf
introduction-to-automotive Andoid os-csimmonds-ndctechtown-2021.pdfintroduction-to-automotive Andoid os-csimmonds-ndctechtown-2021.pdf
introduction-to-automotive Andoid os-csimmonds-ndctechtown-2021.pdf
 
A Secure and Reliable Document Management System is Essential.docx
A Secure and Reliable Document Management System is Essential.docxA Secure and Reliable Document Management System is Essential.docx
A Secure and Reliable Document Management System is Essential.docx
 
Direct Style Effect Systems - The Print[A] Example - A Comprehension Aid
Direct Style Effect Systems -The Print[A] Example- A Comprehension AidDirect Style Effect Systems -The Print[A] Example- A Comprehension Aid
Direct Style Effect Systems - The Print[A] Example - A Comprehension Aid
 
HR Software Buyers Guide in 2024 - HRSoftware.com
HR Software Buyers Guide in 2024 - HRSoftware.comHR Software Buyers Guide in 2024 - HRSoftware.com
HR Software Buyers Guide in 2024 - HRSoftware.com
 
VTU technical seminar 8Th Sem on Scikit-learn
VTU technical seminar 8Th Sem on Scikit-learnVTU technical seminar 8Th Sem on Scikit-learn
VTU technical seminar 8Th Sem on Scikit-learn
 

Inside CynosDB: MariaDB optimized for the cloud at Tencent

  • 1. Qinglin Zhang TXSQL Team @ Tencent CynosDB @ Tencent Cloud guyue.zql@gmail.com
  • 3. Agenda • Why CynosDB ? • Architecture • TXStore for CynosDB • TXSQL for CynosDB • Future of CynosDB
  • 5. User Challenges: ✓ Scalability: fast scale up/down, fast scalable read ✓ Cost: pay on-demand ✓ Replication: binlog, DDL/big transaction ✓ BufferPool: read & write cache, the disadvantage of flushing Traditional MySQL Challenges:
  • 7. ✓ Separate storage from MySQL ✓ Log is database, write once Architecture slave TXSQL master TXSQL slave TXSQL …CELL CELL CELLCELL TXStore MDS redo
  • 9. TXStore core for CynosDB ✓ Replication protocol ✓ Computational storage ✓ Multi version page
  • 10. MySQL Master SQL Layer Engine Layer ①send log record LogPool RingQueue MemTable InnoDB Page ③ack ②Replicate log record Primary Storage Node Replica Storage Node Replica Storage Node ④push to memtable ⑤Apply logs to InnoDB Page sync async TXStore core details Disk ②flush to disk
  • 11. TXStore performance for CynosDB ✓ SPDK(user space api) ✓ RDMA ✓ Reconstruct redo log ✓ … ✓ Jemalloc integrated
  • 13. The Brief of TXSQL ✓ Tencent MySQL(Compatible with Oracle MySQL5.5/5.6/5.7) ✓ Support Tencent Cloud (TencentDB for CDB) ✓ The Component of TXSQL TXSQL for MySQL TXSQL for NewCDB TXSQL for RocksDB TXSQL CynosDB TXRocks TXTools Backup/Recovery/Checksum
  • 14. TXSQL core for CynosDB ✓ Crash Recovery ✓ Remote Storage based on TXStore ✓ System tables converted to Innodb ✓ Redo log Replication ✓ Redo for bulk load create index ✓ Parallel redo log copy optimization ✓ MVCC
  • 15. Parallel redo log copy optimization mtr_commitTrx_1 Trx_2 Trx_m mtr_commit Reduce log_sys->mutex occupancy time to improve perforemance mtr_commit mutex_enter calc lsn mutex_exit copy redo log mutex_enter calc lsn mutex_exit copy redo log mutex_enter calc lsn mutex_exit copy redo log
  • 16. Parallel redo log replication mtr_commit mtr_commit …… mtr_commit log_sys->write_buf log_write_thread redo_log_receiver_thread redo_log_coor_thread redo_log_worker_thread redo_log_worker_thread redo_log_worker_thread
  • 17. TXSQL performance for CynosDB ✓ Redo Log optimization for flush ✓ Asyc Thread Pool Commit ✓ Trx sys optimization ✓ … ✓ Jemalloc integrated ✓ Async DDL Replication
  • 18. Async Thread Pool Commit listener thread (pollfd) ... wroker threadwroker thread high_prio_queue queue handle_event get_event handle_event get_event clientclient …… client thread_group_oversubscribe log_write_up_to log_write_up_to ✓ Sync wait converted to async ✓ Enlarge high-priority-queue ✓ Thread pool & one-thread-per-connection
  • 19. Async DDL Replication Async DDL Support in CynosDB Frm files stored in Innodb Multi page version from TXStore Synchronized by redo log
  • 20. master slave read old Table begin end DDL start DDL end read new Table table was locked Asynchronous DDL cost most time of DDL,replica can read cost little time of DDL,master can't read
  • 21. TXSQL feature for CynosDB ✓ Aggregate pushdown to InnoDB ✓ Enterprise Encryption ✓ INVISIBLE INDEX ✓ Instant DDL Operation ✓ Asynchronous DROP TABLE ✓ …
  • 22. Instant DDL Operation ✓ Add column at designed order ✓ Change column order ✓ Change default value
  • 23. Future of CynosDB ✓ CDBTune(Intelligent tuning) ✓ Multi Master ✓ … ✓ PITR