Jen Underwood

Data Platform Technology Specialist

Microsoft Corporation

2

High

Availability

SQL Server AlwaysOn

Security &

Manageability

User-Defined Server Roles

Web &

Breadth

PHP Driver

Scalability &

Performance

Database Replay Application Centric Failover

Contained Database Authentication

Local DB Runtime

Fast FILESTEAM UTF-16

Readable Secondaries

Fast Full-Text Search

Reliable, Integrated Failover Detection

Multiple Secondaries

Audit Enhancements

Paging for result sets

Column Store Index, “Apollo”

HA for StreamInsight

Management Pack for High Availability

Backup Secondaries

JDBC 4.0 driver

Support for ARM processors

Active Directory w/ SharePoint for SSRS

Default Schema for Windows Group

Windows Server Core Support

Beyond

Relational

FileTable

Microsoft Project “Juneau”

Online Operations

Win32 Access to Database files

Semantic Search Platform

Full Globe Spatial Support

DAC Enhancements

ODBC for Linux

Fast Spatial Performance

Hybrid Applications with SQL Azure

Up to 15K Partitions/Table

EIM

SSIS Server

Business

Intelligence

Unified Semantic Model

Crescent Data Quality

Alerting

Enhanced MDS In-memory BI for corporate

Sysprep for AS

PowerPivot Enhancements

Reporting as SharePoint Shared Service

DBC & OLTP Appliances/RAs

MDS add-in for Excel

http://www.microsoft.com/download/en/details.aspx?id=27069

•

•

•

•

•

•

•

•

•

•

•

Disaster Recovery

Shared Storage

A

Non-Shared Storage

A

A

A

A A A

Synchronous

Data Movement

Asynchcronous

Data

Movement

A

A

Direct Attached Storage local, regional and geo

secondaries

A A

Shared Storage, regional and geo secondaries

A

A

A

Multisite Clustering

Flexible Failover Policy

Improved Diagnostics

Multi-Database Failover

Multiple Secondaries

Active Secondaries

Integrated HA Management

AlwaysOn Availability Groups

for Database level protection

AlwaysOn Failover Cluster Instance

for Instance level protection

Availability Groups for High Availability and Disaster Recovery

• Multi-database failover

• Multiple secondaries

• Total of 4 secondaries

• 2 synchronous secondaries

• 1 automatic failover pair

• Synchronous and

asynchronous

• data movement

• Built in compression and

encryption

• Automatic and manual

failover

• Flexible failover policy

• Automatic Page Repair

• Application failover using

virtual name

• Configuration Wizard

• Dashboard

• System Center

Integration

• Rich diagnostic

infrastructure

• File-stream replication

• Replication publisher

failover

Flexible Integrated Efficient

• Active Secondary

• Readable Secondary

• Backup from

Secondary

• Automation using

power-shell

AG_HR

HR DB

HR

DB

Primary Secondary

HR_VNN

-server HR_VNN;-catalog HRDB

Application retry during failover

Connect to new primary once

failover is complete

and the virtual name is online

Primary Secondary Secondary

HR

DB

ServerA ServerB ServerC

Log Shipping

Database Mirroring

KB 976097

KB 2494036

http://technet.microsoft.com/en-us/library/cc731002(WS.10).aspx

KB 2494036

blog with details

A

A

A

Primary Data Center

Log

Shipping

Disaster Recovery Data Center

Principal Mirror

Witness

Synchronous

Database

Mirroring

Log Shipping Secondary

Note: More secondaries (total up to 4) can be added for additional resiliency or read scaleout

Replace Database Mirroring and Log Shipping with Availability Group

Primary Data Center

Synchronous / Asynchronous

Disaster Recovery Data

Center

Primary Secondary

Fileshare Witness

Synchronous

Secondary

Windows Server Failover Cluster

Availability Group

Failover Clusters for High Availability and Disaster Recovery

2) Storage

software detects

storage

replication state

3) Storage

software sets

storage to read

write enable

SRDF Replication

5) Replication reversed

Storage Replication

1) WSFC registers site failure

4) WSFC Mounts

Physical Disk Resources

Version Native

Support

Implementation

SQL Server 2008 R2 NO • Create stretch Virtual-LAN (VLAN) to act as a single subnet

SQL Server 2012 YES • IP address OR dependency support within SQL Server setup

• SQL Engine skips binding to IP’s not online on start-up

V-LAN

SAN Replication

IP: 10.10.10.10

subnet 1 subnet 2

Network Name: SqlClus

site 1 site 2

subnet 2 subnet 1

SAN Replication

IP1: 192.168.1.30 IP2: 192.168.2.30

Corpnet

OR

Network Name: SqlClus

site 1 site 2

The Microsoft Support Policy for Windows Server 2008 or Windows Server 2008 R2 Failover Clustershttp://support.microsoft.com/kb/943984

http://technet.microsoft.com/en-us/library/dd621586(WS.10).aspx

http://support.microsoft.com/kb/943984

Node and Disk Majority

• Recommended: Between 60 seconds (1 minute) and default value

• Check with DNS Admin.

http://msdn.microsoft.com/en-us/sqlserver/gg490638(en-us,MSDN.10)

Utilize Idle Hardware with Active Secondaries

DB2 DB1

SQLservr.exe SQLservr.exe

InstanceA

DB2 DB1

Primary Secondary

Database Log

Synchronization

InstanceB

Reports

Primary Replica Secondary Replica

Start Reporting workload on table T1

• Takes SCH-S lock on table T1

Execute DDL operation on table T1

REDO processes the DDL log record

• Requests SCH-M lock on table T1

Reporting Workload completes

REDO is unblocked Blocked

A

A

A

A

Reports

Backups

Synchronous

Data Movement

Asynchcronous

Data

Movement

Column Store Indexes Vector Mode Query Execution

•

•

•

•

•

•

•

•

•

•

•

•

•

Column Store Index 100x

43

Column Store stores data column-wise • Each page stores data from a single column

• Data not stored in sorted order

• Optimized for scans but can support all index

operations (in principle)

…

C1 C2 C3 C4

A B-tree index stores data

row-wise

select w_city, w_state, d_year,

SUM(cs_sales_price) as cs_sales_price

from warehouse, catalog_sales, date_dim

where w_warehouse_sk = cs_warehouse_sk

and cs_sold_date_sk = d_date_sk

and w_state = 'SD' and d_year = 2002

group by w_city, w_state, d_year

order by d_year, w_state, w_city;

Cold buffer pool Warm buffer pool

CPU Elapsed CPU Elapsed

Row store

only

259 20 206 3.1

Column store 19.8 0.8 16.3 0.3

Improvement 13X 25X 13X 10X

1TB TPC-DS database

Catalog_Sales 1.44B rows

Warehouse 20 rows

Date_dim

73,049 rows

Machine: 40/80 cores/threads,

256 GB, IO bandwidth

10GB/sec

45

Lis

t o

f q

ualify

ing

ro

ws

Column vectors

Batch object

46

Hash join

Row

mode

Vector mode

B1

B2

B3

Bn …

Hash table

(shared)

Thread1

Thread2

Build side Thread3

Thread2

Thread1

Probe

side

B1

B2

B4

Bm …

B3

Build

input

Hash join

Exchange Exchange

Probe input

Exchange Exchange

Expensive to repartition inputs

Data skew reduces parallelism

47

Beyond Relational

FileTable

• FileTable for backing up, restoring, searching, and updating Microsoft Windows® files

• Store unstructured files directly in the database

Full-text Semantic Search

• Provide deeper insight to unstructured data with semantic concept extraction and similarity search; extend full text search to enable search on the meaning of documents

Spatial data enhancements

• Leverage spatial data in new ways through advanced and even faster 2D spatial support

1001110101100101001

1100101001010010

1001110101100101001

Semantic Key Phrases

Key Title Document

D1 Annual Budget …

D2 Corporate

Earnings

…

D3 Marketing Reports …

… … …

-----------

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-----------

-----------

----

-----------

-----------

-----------

-----------

-----------

-----------

----

-----------

-----------

-----------

-----------

-----------

-----------

----

Source Table

ID Keyword Colid … compDocid CompOc CompPid

K1 revenue 1 … 10,23,123 (1,4),(5,8),(1,34) 2,5,6,8,4,3

K2 growth 1 … 10,23,123 (1,5),(5,9),(1,34) 2,5,6,8,5,4

… … … … … …

Keyword Index (Full-Text)

Keyphrases KeyphraseDocuments

ID DocID

T1 (revenue) D1 (Annual Budget)

T2 (growth) D2 (Corporate Earnings)

T3 (Windows) D3 (Marketing Reports)

… …

T1 (revenue) D7 (Finance Report)

… …

T3 (Windows) D11 (Azure Strategy)

T4 (Azure) D11 (Azure Strategy)

ID Keyword

T1 revenue

T2 growth

T3 Windows

T4 Azure

… …

DocumentSimilarity

DocID MatchedDocID

D1 (Annual Budget) D2 (Corporate Earnings)

D1 (Annual Budget) D7 (Finance Report)

D3 (Marketing Reports) D11 (Azure Strategy)

… …

Full-Text and Semantic Processing

quarter, record, revenue…

2a

1

CREATE FULLTEXT INDEX ON

Production.Document (

Title LANGUAGE 1033,

Document

LANGUAGE 1033

TYPE COLUMN FileExtension

STATISTICAL_SEMANTICS

)

KEY INDEX PK_Document_DocumentID

ON documents_catalog

WITH CHANGE_TRACKING OFF, NO

POPULATION;

ALTER FULLTEXT INDEX ON Production.Document

ALTER COLUMN Document

ADD STATISTICAL_SEMANTICS

WITH NO POPULATION;

…

…

ALTER FULLTEXT INDEX ON Production.Document

START FULL POPULATION;

• New Hive ODBC driver – “Project Isotope”

to leverage Hadoop

• Bring Hadoop data into SSAS, SSRS,

PowerPivot using HiveQL

• Partnership with Hortonworks

• Future Windows and Azure Hadoop versions

• Develop simpler Hadoop APIs .NET and Javascript

• Contribute IP to the Open Source Community

HDFS

Map Reduce

Hive

AS Tabular AS Multidimensional

Crescent/Power View Excel/PowerPivot

PowerPivot

Analytical Apps

SQL Engine

PDW

SSRS

Miscellaneous

Security Enhancements

• User-defined server roles for easier separation of duties

• Improve compliance with audit enhancements (audit for all editions of SQL Server, improved audit resilience, user-defined audit event, and audit record filtering)

• Simplified security management with default schema for groups

• Database Authentication that uses self-contained access information without the need for server logins

• SharePoint and Active Directory security models for higher data security in end user reports

•

•

Distributed Replay

• Simplified application testing and upgrade

• Minimize errors in upgrades and proactively conduct capacity testing to simulate production environment and protect performance

•

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•

•

•

•

•

Enterprise Information Management

Master Data Services

Data quality

Familiar tools

Performance

Data Quality Services

Profiling

Cleansing

Matching

Impact Analysis

Lineage tracking

with data sources

Integration Services

Easy data loading

MDS and DQS Integration

http://msdn.microsoft.com/en-us/sqlserver/hh323832.aspx

Map to DQS

Knowledge Base

Map Automated

Corrections

NEW SSIS DQS

Cleansing

Component

http://projectbarcelona.cloudapp.net

Visual and Drill-Down

Dependency Details

New Integration Services

Dashboard and Reports

Drill-Down reports for

troubleshooting issues New objects for troubleshooting:

• catalog.event_messages

• catalog.event_message_context

• catalog.executable_statistics

• catalog.execution_data_statistics

• dm_execution_performance_counters

New SSIS Management

System Views and Queries

Team BI PowerPivot for

SharePoint

Personal BI PowerPivot for

Excel

Corporate BI Analysis Services

BI Semantic Model

Data model

Business logic

and queries

Data access ROLAP MOLAP VertiPaq Direct

Query

MDX DAX

Multi-

dimensional Tabular

Third-party

applications

Reporting

Services Excel PowerPivot

Databases LOB Applications Files OData Feeds Cloud Services

SharePoint

Insights

New BISM project type

Import from Analysis

Services or PowerPivot

Visual Studio development

with integrated TFS

Source Control

New BISM Tabular Mode

Security Features

New BISM Tabular Mode

Partitioning Features

New Hierarchies

New Visual

Diagram View

New Date Type

Table for Time

Intelligence

New Measure Grid

New KPIs

Push User Defined Report

Data Level Alerts with

Defined Schedules

Define Alert

Rules

Manage User-

Defined Alerts

Sliders, Banding, Callout Template

visualizations

Export storyboards for story

telling with data

Charts, Grids, Scatter Plots and

Maps

Interactive charts highlight

selected data distributions in

charts

Easy Drag and Drop

Template Layouts

Animated charts play over

time periods

Basic and

Advanced Filtering

Visual Vertical and

Horizontal Multiples

Also Slicers and Tiles

for Visual Filtering

© 2011 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista, and other product names are or may be registered trademarks and/or

trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation

as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part

of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation.

MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.