Blixtrande prestanda med SQL Server 2014 In-Memory OLTP

Johan Åhlén, SolidQ

• Johan Åhlén

• SolidQ Nordisk CTO

• Ordförande SQL Server användarförening i Sverige

• Ansvarig för prestanda-SM på SQL Server

• SQL Server MVP sedan 2011

• Inblandad i ett par böcker

Blog: www.johanahlen.info

Presentatör

Vilka är ni?

What the heck is a Hekaton?

5 myter om In-Memory OLTP• ”All data försvinner om man drar ut sladden”• “Hekaton är en NoSQL databas”• “Hekaton är en förbättrad DBCC PINTABLE”• “Inga anpassningar behövs av befintlig kod”• “Alla applikationer går 100 gånger

snabbare”

Mission critical and cloud performance Cloud-ready Self-service BIPerformance

and productivityMission critical

Modern DB platform

The evolution of the Microsoft data platform

SQL Server2000

SQL Server2005

SQL Server2008

SQL Server2008 R2

SQL Server2012

XML ● HA

Management studio ● Mirroring

Compression ● Policy-based mgmt. ● Resource Governor

PowerPivot (In-Memory) ● SharePoint integration ● Master data services

AlwaysOn ● ColumnStore Indexes ● Data quality services ● Power View ● Cloud

SQL Server2014In-memory OLTP ● Clustered ColumnStore Indexes ● Performance and scale ● Hybrid cloud optimized

Key trends impacting in-memory design CPU Performance Flattening OutDecreasing Cost of Memory$/GB of Memory

1

10

100

1,000

10,000

100,000

1,000,000

US$

/GB

1970197519801985199019952000200520100

1

10

100

1,000

10,000

100,000

1,000,000

10,000,000

Perf/Clock (ILP)

Power

Clock Speed (MHz)

Transistors (000)

In-memory by design

Built-in

Flexible

Increased speed & throughput

Write speed

of 200 million rowsin 15 minutes

Real-time data access

In-memory built-inKey Benefits Leverage familiar tools

No costly add-ons

Works seamlessly with existing SQL Server features

Use the same tools across services New! In-Memory

Relational Data Services

Microsoft Azure Infrastructure Services

Disk-based Relational Data Services

Familiar Dev & Management Tools

The entire DB doesn’t need to be In-Memory

10xFaster performance

In-memory flexibilityKey Benefits Minimize capex as data volumes grow

Access In-Memory and on-disk with a single query

Don’t need to rewrite entire app with

scalability and reduced

operating costs

Exponential

growth

On-Disk

ApplicationWarm

and hot data

Cold Data Single Query

Key Benefits Optimized table structures

No locks or latches with 100% data durability

Up to 30x transactional performance gains

In-memory for increased throughput & speed

16x faster transactions

“To describe Hekaton in two words, it’s wicked fast.”

Rick Kutschera, Bwin

Before After

Greater throughput with no locks or latches

OLTPStored Procedures

30x faster transactionsNatively compile stored procedures in-memory

App

35x faster transactions

Arkitektur

13

Jämförelse

14

In-Memory OLTP

Hög skrivhastighet

Hög läshastighet

Kan skrivas till disk

Okomprimerad

Måste rymmas i minnet

ColumnStore Indexes

Låg skrivhastighet

Hög läshastighet

Skrivs alltid till disk

Komprimerad

Behöver inte rymmas i minnet

Saker som supporteras av In-Memory OLTP ”version 1.0”

15

Lagring på disk (om du vill)

AlwaysOn

Resource Governor

SSIS

Service Broker

PowerShell

DACPAC och BACPAC

DEMOTAJM!

Prestanda

Svenska Mästerskapen

www.sqlug.seDeadline 30 november

PASS SQLRally Nordic 20152 - 4 Mars i Köpenhamn

www.sqlrallynordic.com

TACK!

Johan Åhlén

Läs mer på min blogg:www.johanahlen.info