Денис Резник "Моя база данных не справляется с нагрузкой. Что делать?"

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В течении доклада мы с вами рассмотрим ряд принципов и техник, которые позволят вашей базе данных справляться с большей нагрузкой. P.S. Все примеры и демо будут проводиться на базе данных MS SQL Server. Все совпадения с другими базами данными случайны, но вполне вероятны :) так что знания, полученные в ходе доклада, могут вам пригодиться даже если вы работаете с другой базой данных.

Denis Reznik
Intapp, Inc.
My Database can’t handle the load.
What to do?

Agenda
• Highload and Scalability
• My database can’t handle the load
• What to do?

Ok, here we go. My Database
can’t handle the load.
What to do?

STEP 1: Questions
we should know this for sure

Questions
• How do you know that your database can’t
handle a load?
• Which load your database can handle?
• Is load predictable or unpredictable?
• Does only database can’t handle it?
• Has anything been done to improve this?
• Do you have any information which prove that
database is not efficient?

Time for the Questions
• How we came to the current state?
• Were there any particular actions which increase the
load?
• Does load predictable or sporadic?
• Has database started to operate slowly at one
moment or it was a continuous process?
• Which information do we have?

What to do
• Collect Information (current state and
historical)
• Talk to people (well.. we are already doing this )
• Environment information (OS, Database, Hypervisor,
etc)
• Server OS logs
• System resources utilization
• Database queries trace
• Any third-party dashboards and logs

System Resources
• CPU
• Memory
• Storage Subsystem
• Network

CPU – Preemptive Multitasking
Thread 1
Context Switch
End of time Quantum
High Priority Thread
IO
Thread 2

CPU – Cooperative Multitasking
0
SchedulersRunnable
Queue
1
2
3
Suspended Queue
Time Quantum Length for each Scheduler in SQL Server is 4
ms

Memory – OS Management
0001 0010 0101
0000 1001 0101
0011 1010 1001
1110 0010 0110
0001 0010 0101
0000 1001 0101
0011 1010 1001
Physical Memory
(RAM)
Page File
VirtualMemory
Virtual Memory
Manager
SQL Server
Browser
Word

Memory – Database
Data Cache Query Cache
Locks Memory Memory Grants
Some Small Caches
External Memory
Buffer Pool

Storage Subsystem – Database
Buffer Pool
Data Cache
Database File
Access Methods
Buffer Manager
Transaction Log
Log Manager
?
Background
Processes

Network
Bandwidth
TCP Packages
TCP Packages
TCP Packages
Bandwidth
TCP Packages

Solution Variations
• Code or SQL optimization
• Adding more resources to the server (Scale-Up)
• Patching database server or OS
• Distribute database data among several servers
(Scale-Out) (?)
• Switch to another database server (?)

So, here is the end of story
well.. actually not..

STEP 4: Planning
turning off the Emergency mode

Planning
• Hardware capacity planning
• Maintenance planning
• Forecasting workload
• Load testing (ideally)

Summary
• STEP 1: Questions
• STEP 2: Root Cause
• STEP 3: Solution
• STEP 4: Planning

Thank You!
@denisreznik
denisreznik@gmail.com
http://reznik.uneta.com.ua/
https://www.facebook.com/denis.reznik.5
https://www.linkedin.com/pub/denis-reznik/3/502/234

Технологии с открытым исходным кодом, такие как Microsoft Orleans и ElasticSearch, - ключевые элементы архитектуры YouScan. О том, как они помогают справляться с постоянно растущими объемами данных из социальных сетей, об эволюции архитектуры YouScan, я расскажу в данном докладе.

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