SQL Server 2008 End of Support (EOS): Azure Planning and

SQLintersectionWednesday, June 12th 2019

10:15am - 11:30am

SQL Server 2008 End of Support (EOS): Azure Planning and Migration Strategies

David Pless

[email protected]

http://www.microsoft.com/2008-eos

http://www.microsoft.com/2008-eos

The Evolution of SQL Server

SQL Server 2008

SQL Server 2008 R2

SQL Server 2012

SQL Server 2014

SQL Server 2019

SQL Server 2016

SQL Server 2017

Migrate to Azure

free Extended

Security Updates

OR

Upgrade on-premises

Announcing Extended Security Updates for 2008/2008 R2 versions of Windows Server and SQL Server

End of support means the end of security updates

SQL Server 2008

and 2008 R2

2018 2019 2020

Windows Server

2008 and 2008 R2

Find lifecycle support deadlines at:

support.microsoft.com/lifecycle

http://www.support.microsoft.com/lifecycle/

Current support level End mainstream End extended

SQL Server 2014 Currently supporting all versions July 9, 2019 July 9, 2024

SQL Server 2012SQL Server 2012 SP2+ is in mainstream support until CY 2017

July 11, 2017 July 12, 2022

SQL Server 2008 and SQL Server 2008 R2

SQL Server 2008 and 2008 R2 are in extended support which includes security updates, paid support, and requires purchasing non-security hotfix support

July 8, 2014 July 9, 2019

SQL Server 2005 SQL Server 2005 support ended on April 12, 2016 April 12, 2011 April 12, 2016

Learn more about the SQL Server support lifecycle: support.microsoft.com/lifecycle/

SQL Server 2008 and 2008 R2 will no longer be supported starting on July 9, 2019

When will End of Support Happen?

http://www.support.microsoft.com/lifecycle/

Security Compliance and Growing Threats

Ransomware

WannaCry

Spectre

Meltdown

Threats on the Rise

https://en.wikipedia.org/wiki/Ransomware

https://en.wikipedia.org/wiki/WannaCry_ransomware_attack

https://meltdownattack.com/

https://meltdownattack.com/

S E C U R I T Y &

C O M P L I A N C E

At the end of support for SQL Server

2008 and SQL Server 2008 R2, there

will be no more security updates and

hotfixes from Microsoft, opening the

door to potential business

interruptions.

Don’t take the risk of losing precious

data or having issues with your

business applications performance

because of potential weaknesses of

your environment by not upgrading!

Without security updates you may fail to comply with

standards and regulations that can seriously hamper

your ability to:

• Protect against hackers, malware with root access to

machines, man in the middle scenarios, and government

subpoenas

• Securely purge for customer data, leaving it vulnerable to

access by outside parties

• Utilize E2E data protection across SQL Server and

frequently used together services

Regulatory compliance standards may no longer be met at

end of support, such as:

• GDPR for companies who do business in the EU

• PCI DSS for storing and processing payment data

• HIPAA for medical patient privacy

• GLBA for financial institutions

DiscoverData identification

Tracking

ManageAccess control

Granular authorization

ProtectData security

Privacy by design

Data Discovery & Classification

Scan, identify, and label columns

containing potentially sensitive data in

your database

Access control

Administrators can manage and govern

access to personal data with Windows

authentication and Azure Active

Directory authentication

Transparent Data Encryption

Help secure personal data through

encryption at the physical storage layer

using encryption-at-rest

Metadata queries, SQL queries and

statements

Helps you search and identify personal

data using queries

Role-based access control

Apply role-based access control to help

manage authorization policies in the

database, and to implement the

separation of duties principle

Always Encrypted

Prevent unauthorized, high-privileged

users from accessing data in transit, at

rest, and while in use

Full text queries

Using full-text queries against character-

based data in SQL Server tables

Row-level security

Prevent access to rows in a table (such as

those that may contain sensitive

information) based on characteristics of

the user trying to access the data

Always On Availability Groups

Maximize the business continuity by

enabling High Availability and Disaster

Recovery built-in

Azure Data Catalog

Unlock tribal knowledge by sharing

information about data usage and intent

throughout the organization

Static and Dynamic Data Masking

Control access to sensitive data by

enabling how much data to reveal with

minimal impacts to app layers

SQL Database Threat Detection

Get help detecting anomalous database

activities indicating potential security

threats to the database

ReportDocumentation

Assessment of security

SQL Server Audit

Verify changes to data that occur in a

SQL Server table

SQL Server Audit

Understand ongoing database activities,

and analyze and investigate historical

activity to identify potential threats or

suspected abuse and security violations

SQL Server Audit

Maintain audit trails and gain useful input

for performing a Data Protection Impact

Assessment (DPIA)

Vulnerability assessment

Reports that can serve as a security

assessment for your database. These

reports can also be used as part of a

Data Protection Impact Assessment

(DPIA)

D A T A S E C U R I T Y &

P R I V A C Y S O L U T I O N S

F R O M S Q L S E R V E R

SQL Server 2016 / 2017+ adds

the largest number of security

features ever released!

Help safeguard your business

with a suite of security features

to help with compliance

Where can we go and whatare we moving?

SQL Server Components

•

Transactional

Merge

Snapshot

•

•

•

•

•

•

•

•

•

•

•

•

•

master

model

msdb

tempdb

•

•

•

•

•

▪ A single database in Azure

▪ Components that exist outside of the database will need an equivalent technology

▪ Generally a poor option for existing applications

▪ No support for controlling the database compatibility level

▪ No patching required; updates are built-in

SQL Server Deployment Options

• Capable of multiple databases

• Most instance level shared components are supported• SQL Agent jobs, cross db joins,

Global temp tables, CLR

• Strong option for existing applications

• Vendor applications will require some support

• No patching required; updates are built-in

• SQL Server on Windows / Linux supported

• Full SQL Server installation experience

• Does not require external technologies to support Business Intelligence Requirements

• Patching and updates are the responsibility of the administrator

▪ Bridges the gap between Azure SQL Database and SQL Server The goal is to provide close to 100% surface area compatibility SQL Server

▪ Supports backward compatibility to SQL Server 2008 databases Direct migration from SQL Server 2005 databases is supported, compatibility levels will be updated to

SQL Server 2008 (100)

▪ Use familiar SQL features in SQL Database Managed Instance Native backup and restore

Cross-database queries and transactions

Global ##temp tables are supported

Broad security features including TDE, SQL Audit, Always Encrypted and Dynamic Data Masking

SQL Agent, DBMail, and Alerts for workload orchestration improved awareness

Enablers including Change Data Capture, Service Broker, Transactional Replication, and CLR

DMVs, XEvents, and Query Store for troubleshooting

Encryption-in-flight - (aka Transport Layer Security TLS)

What is SQL Database Managed Instance?

New Features Post Migration

Enhanced Integration Services

Data Quality Services

Master Data Services

Master Data Services Add-in for Excel

Enhanced productivity and

performance

Power View

Configurable reporting alerts

Reporting as SharePoint Shared

Service

Data-tier application

component project FileTable

build on FILESTREAM

Remote Blob Storage with

SharePoint 2016

Statistical Semantic Search

Contained Database

Authentication

Automatic Plan Correction

Enhanced connectors, new

transformations, object-level

security, ragged hierarchies**

Mobile BI

Enterprise-grade Analysis Services

In-Memory analytics with Analysis

Services Tabular Model

Enhanced multidimensional

models

Modernized Reports and

Dashboard with support for

Mobile BI

Create mobile reports using the

SQL Server Mobile Report

Publisher

Consume with Power BI mobile

apps

HA for StreamInsight, complex

event processing

Import PowerPivot models into

Analysis Services

Advanced tabular mode

Direct Query

Always Encrypted

Dynamic Data Masking

Row-Level Security

Auditing

CC certification at EAL2 level for

SQL Server 2016

Backup encryption support

Enhanced separation of duties

Default schema for groups

Hybrid Transactional and Analytical

Processing with real-time insights

using In-Memory OLTP and

Clustered Columnstore

In-Memory Data Warehouse with

Clustered Columnstore Indexes

Unparalleled scalability with

Windows Server 2016, with 24TB

memory and Windows Server

2016 max cores

Automatic failover between three

synchronous replicas. Up to eight

secondary replicas

Buffer Pool Extension to SSDs

Adaptive Query Processing

Resource Governor with CPU,

Memory and IO Governance

Delayed Durability of Memory-

Optimized Tables

Query optimization

enhancements

Query Store

Local DB runtime (Express)

Machine Learning Services with

built-in support for Python and R

Operationalize Machine Learning

algorithms with In-Database

Machine Learning support

RRE APIs with full parallelism and

no memory limits for

scale/performance

Built-in In-memory Advanced

Analytics

Advanced data mining

Disaster Recovery environment in

Azure VMs using Always On

Availability groups

Stretch database

Hybrid scenarios with SSIS

Enhanced backup to Azure

Easy migration to the cloud

Secure backups to Azure with

managed backups

Operational analytics

Enhanced In-Memory DW with

Clustered Columnstore

Big Data integration with Hadoop

and Azure Blob Storage

Big Data Queries with T-SQL

Enhanced database caching

Support for Linux

(RHEL, Suse, Ubuntu)

Support for Docker containers

and Kubernetes

Enhanced Always On Availability Groups with easy GUI-based Wizard

What’s New in SQL Server 2017 Since SQL Server 2008 & 2008 R2

JSON support

Spatial features, Full Globe

and arcs

Support for Temporal Tables

Graph data support

SQL Server 2016: Everything Built-in

The above graphics were published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft. Gartner does not endorse any vendor, product or service depicted in its

research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all

warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Most consistent experience from on-premises to cloud

Microsoft Tableau Oracle

$120

$480

$2,230

Self-service BI per user

In-memory across all workloads

built-

in

built-

in

built-

in

built-

in

built-

in

TPC-H non-clustered results as of 04/06/15, 5/04/15, 4/15/14 and 11/25/13, respectively. http://www.tpc.org/tpch/results/tpch_perf_results.asp?resulttype=noncluster

at massive scale

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70

80

1 2 3 4 5 6 7

SQL Server Oracle MySQL2 SAP HANA TPC-H

Oracle is #6#2

SQL Server

#1

SQL Server

#3

SQL Server

National Institute of Standards and Technology Comprehensive Vulnerability Database update 5/4/2015

1MPredictions per second

http://www.tpc.org/tpch/results/tpch_perf_results.asp?resulttype=noncluster

End-to-end mobile BI

on any device

Choice of platform

and language

Most secure

over the last 7 years

0

20

40

60

80

100

120

140

160

180

200

Vu

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A fraction of the cost

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Only commercial DB

with AI built-in

Microsoft Tableau Oracle

$120

$480

$2,230

Industry-leading

performance

1/10

Most consistent data platform

#1 TPC-H performance

1TB, 10TB, 30TB

#1 TPC-E performance

#1 price/performance

T-SQL

Java

C/C++

C#/VB.NET

PHP

Node.js

Python

Ruby

R

R and Python +

in-memory at massive scale

Native T-SQL scoring

SQL Server 2017 I N D U S T R Y - L E A D I N G P E R F O R M A N C E A N D S E C U R I T Y N O W O N L I N U X A N D D O C K E R

Private cloud Public cloud

In-memory across all workloads

1/10th the cost of Oracle

SQL Server 2017 Key New Functionality

1 0 1 0

0 1 0 1

0 1 1 0

Statistics

Degree

earned

Position

Skill

Andy

Smith

B.S.

Science,

Finance

Business

Analyst

RR and Python +

in-memory at massive scale

Native T-SQL scoring

Qu

ery

tim

es

Plan 1 Plan 2 Plan 3 Plan 2

Revert to

previously

effective plan

O P T I M I Z E D Q U E R Y

P R O C E S S I N GImproved efficiency with

Adaptive Query Processing

Optimize memory grants for repeatable queries to

avoid over or under allocating

Adjust data join strategy

for small or large tables to speed joins

Batch mode for memory grant feedback and

adaptive joins

1 0 1 0 1 0

1 0 1 0 1 0

1 0 1 0 0 1

1 0 1 0 1 0

0 1 0 1 0 1

1 0 1 0 1 0

0 1 0 1 0 1

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Industry-leading performance

1 0 1 0

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A U T O M A T I C A L L Y F I X

P R O B L E M S W I T H O U T

T U N I N GBetter performance with

Automatic Plan Correction

Continuous performance plan monitoring and

analysis

Detect problematic plans

Automatically f ix performance problems caused by

SQL plan choice regressions


Qu

ery

tim

es

Plan 1 Plan 2 Plan 3 Plan 2

Revert to previously

effective plan


0100101010110

In-Memory ColumnStore

In-Memory OLTP

ETL !

I N D U S T R Y - L E A D I N G

P E R F O R M A N C E W I T H

S Q L S E R V E R 2 0 1 7Real-time operational analytics

Bring analytics to your operational data

Improve transactional performance with In-

Memory OLTP

Speed analytics and reduce storage needs with In-

Memory ColumnStore

LOB compression in ColumnStore index

SQL Server 2019 - The Intelligent DatabaseThe Intelligent Query Processing Feature Family

• Intelligent Query

Processing

• Gain performance insights

anytime and anywhere with

Lightweight Query Profiling

• Accelerating I/O

performance with

Persistent Memory

The intelligent database

Intelligence Query Processing (140)

IQP Feature

db_compatibility_

level

Supported in

Azure SQL DB

Supported in

SQL Server DescriptionAdaptive Joins (Batch Mode) 140 Yes, under compatibility

level 140Yes, starting in SQL Server 2017 under compatibility level 140

Adaptive joins dynamically select a join type during runtime based on actual input rows.

Interleaved Execution 140 Yes, under compatibility level 140

Yes, starting in SQL Server 2017 under compatibility level 140

Use the actual cardinality of the multi-statement table valued function (MSTVF) encountered on first compilation instead of a fixed guess.

Memory Grant Feedback (Batch Mode) 140 Yes, under compatibility level 140

Yes, starting in SQL Server 2017 under compatibility level 140

If a batch mode query has operations that spill to disk (tempdb), add more memory for consecutive executions. If a query wastes > 50% of the memory allocated to it, reduce the memory grant side for consecutive executions.

https://docs.microsoft.com/en-us/sql/relational-databases/performance/intelligent-query-processing?view=sql-server-2017#batch-mode-adaptive-joins

https://docs.microsoft.com/en-us/sql/relational-databases/performance/intelligent-query-processing?view=sql-server-2017#interleaved-execution-for-mstvfs

https://docs.microsoft.com/en-us/sql/relational-databases/performance/intelligent-query-processing?view=sql-server-2017#batch-mode-memory-grant-feedback

Intelligence Query Processing (150)

IQP Feature

db_compatibility_

level

Supported in Azure

SQL Database

Supported in SQL

Server DescriptionApproximate Count Distinct

150 Yes, public preview Yes, starting in SQL Server 2019 CTP 2.0, public preview

Provide approximate COUNT DISTINCT for big data scenarios with the benefit of high performance and a low memory footprint.

Batch Mode on Rowstore 150 Yes, under compatibility level 150, public preview

Yes, starting in SQL Server 2019 CTP 2.0 under compatibility level 150, public preview

Provide batch mode for CPU-bound relational DW workloads without requiring ColumnStore indexes.

Memory Grant Feedback (Row Mode)

150 Yes, under compatibility level 150, public preview


If a row mode query has operations that spill to disk, add more memory for consecutive executions. If a query wastes > 50% of the memory allocated to it, reduce the memory grant side for consecutive executions.

Scalar UDF Inlining 150 (SQL Server only) No Yes, starting in SQL Server 2019 CTP 2.1 under compatibility level 150, public preview

Scalar UDFs are transformed into equivalent relational expressions that are “inlined” into the calling query, often resulting in significant performance gains.

Table Variable Deferred Compilation

150 Yes, under compatibility level 150, public preview


Use the actual cardinality of the table variable encountered on first compilation instead of a fixed guess.

https://docs.microsoft.com/en-us/sql/relational-databases/performance/intelligent-query-processing?view=sql-server-2017#approximate-query-processing

https://docs.microsoft.com/en-us/sql/relational-databases/performance/intelligent-query-processing?view=sql-server-2017#batch-mode-on-rowstore

https://docs.microsoft.com/en-us/sql/relational-databases/performance/intelligent-query-processing?view=sql-server-2017#row-mode-memory-grant-feedback

https://docs.microsoft.com/en-us/sql/relational-databases/performance/intelligent-query-processing?view=sql-server-2017#scalar-udf-inlining

https://docs.microsoft.com/en-us/sql/relational-databases/performance/intelligent-query-processing?view=sql-server-2017#table-variable-deferred-compilation

• Always Encrypted with secure enclaves

• Data Classification and auditing built-in

• Manage certificates easier with SQL Configuration Manager

plaintext ciphertext

Enhanced

client driver

Enclave

plaintext

Always Encrypted with secure enclaves

Mission Critical Security Confidential Computing

SQL Server 2019 - Mission-critical AvailabilityEnhanced performance, security, and availability

https://aka.ms/sqlserver2019whatsnew

https://aka.ms/sqlserver2019whatsnew

SQL Server 2017 andPaths to Azure VMs and PaaS

Azure Data Modernization Choices

SQL

SQL

TRANSFORM WITH A ZURE

Upgrade

Upgrade to Windows Server 2016 or SQL Server

2017 and get cloud and DevOps ready

ON-PREMISES

Rehost

Migrate 2008 and 2008 R2 workloads to

Azure VM or Azure SQL Database MI

Refactor, Rearchitect, or Rebuild

Innovate with Windows Server containers

and Azure SQL Database MI

Free extended

security updates

Save more with Azure Hybrid Benefit

Buy extended security updates

Modernize on your terms with Microsoft

Paths to upgrade and stay protected

free Extended Security Updates

Migration simplified with free tools

On-premises

SQL Server

2005 - 2017

Assessment tools

SSMA & DMA

Azure

SQL My

My

Azure DMS

VPN or

Express Route

Internet

SQL

SQL

Cloud

SQL Server to

Azure SQL DB MI

Lift-and-shift with no application

code change needed

• Database Migration Assistant

(DMA) on schema migration

• Database Migration Services

(DMS) for massive cloud

migration at near zero

downtime, online and offline

• Free DMS offline; free online up

to 6 months with 4 vCores

Database migration guide: https://datamigration.microsoft.com/

https://datamigration.microsoft.com/

© SQLintersection. All rights reserved.http://www.SQLintersection.com

Assessment and Finished Product

Data Migration Assistant (DMA)

Migrating from SQL Server 2008 & 2008 R2to SQL Server 2017

MigrateUse Data Migration Assistant (DMA)

migrate schema and database

2 3 OptimizeRemediate applications and perform

validation tests with Database

Experimentation Assistant (DEA)

1Discover & AssessDownload and install the MAP Toolkit for

discovery and use Data Migration Assistant

(DMA) to assess schema and database

Backup and restore: Back up taken on SQL Server 2008 or SQL Server 2008 R2 can be restored to SQL Server 2017

Tools: MAP Toolkit, Database Migration Assistant (DMA), Database Experimentation Assistant (DEA)

Database mirroring: Database mirroring is supported if principal is running SQL Server 2008 SP3 or

later, or SQL Server 2008 R2 SP2 or later, and mirror is running SQL Server 2017. If a failover, either

automatic or manual, happens such that SQL Server 2017 instance becomes principal, SQL Server

2008 or SQL Server 2008 R2 instance becomes mirror and will NOT receive changes from principal.

Tools and considerations

Log shipping: Log shipping is supported if primary is running SQL Server 2008 SP3 or

later, or SQL Server 2008 R2 SP2 or later, and secondary is running SQL Server 2017. If

a failover, either automatic or manual, happens such that SQL Server 2017 instance

becomes primary, SQL Server 2008 or SQL Server 2008 R2 instance becomes

secondary and will NOT receive changes from primary

Bulk load: Tables can be bulk copied from SQL Server 2008 or SQL Server 2008 R2 to

SQL Server 2017

https://www.microsoft.com/en-us/download/details.aspx?id=53595




Migrating from SQL Server 2008 & 2008 R2 to Azure VMs

MigrateUse Azure Database Migration

Service (DMS) to migrate

schema and database



Experimentation Assistant (DEA), using

Database Migration Guide as key resource

1Discover & AssessDownload and install the MAP Toolkit to

identify and discover data sources and use

Data Migration Assistant (DMA) to assess your

source database before migrating your SQL

Server instance

Tools: MAP Toolkit, Database Migration Assistant (DMA), Database Experimentation Assistant (DEA)

Learn how to create an instance of SQL Server on Azure VMs here.


https://azure.microsoft.com/en-us/services/database-migration/





https://docs.microsoft.com/en-us/azure/virtual-machines/windows/sql/virtual-machines-windows-portal-sql-server-provision

Migrating from SQL Server 2008 & 2008 R2to Azure SQL Database


Service (DMS) to migrate schema

and database









Server instance

Tools: MAP Toolkit, Database Migration Assistant (DMA), Azure Database Migration Service (DMS)

Bulk load: Tables can be bulk copied out from SQL Server 2008 or SQL Server 2008 R2 and then bulk

copied into Azure SQL Database







Migrating from SQL Server 2008 & 2008 R2to Azure SQL Database Managed Instance


Service (DMS) to migrate schema

and database









Server instance

Tools: Migration supported by Azure Database Migration Service (DMS)

Bulk load: Tables can be bulk copied out from SQL Server 2008 or SQL Server 2008 R2 and then bulk

copied into Azure SQL Database Managed Instance







Database Compatibility andConsiderations

▪ OLTP Application Location Migrate applications versus Remote Connectivity

▪ Enterprise Reporting and Business Intelligence Recommendation: Express Route or Migrate Reporting to Azure

▪ Network Scenarios for Azure Point to Site

Site to Site

Express Route

▪ Licensing / Feature Considerations

▪ Leverage Trace Flag 4199 to test pre-migration

▪ Database Compatibility Level

SQL Server Migration Consideration Checklist

Public Endpoint for Managed Instance

Database Compatibility Levels in SQL Server

SQL Server 2000 Support (80 compatibility mode)


SQL Server 2005 Support (90 compatibility mode)


SQL Server 2008/R2 Support (100 compatibility mode)


• Upgrade (including restore) retains compat level of database• Use this to maintain functional compatibility

• T-SQL reserved words• Query execution functionality• Protect against breaking changes that are database scoped• Does not protect from discontinued features

• Query Performance• Not a guarantee of performance• Microsoft will work with you if you encounter query plan changes

SQL Server Version Default Compat Level

SQL Server 2017 140

SQL Server 2016 130

SQL Server 2014 120

SQL Server 2012 110

SQL Server 2008 R2SQL Server 2008

100

We keep default level for Azure DB updated

• 120 introduces new cardinality estimator for Queries• 130 and 140 introduce new query plan and execution features• 130 and 140 include by default QP fixes under trace flag 4199

• Trace flag 4199 applies for new fixes• Query Store to observe and address performance differences• Does not affect server wide functionality• Model can be changed to affect new databases


Database Migration Guide


Content Walk Through


Validation and Optimization

▪ Query regressions due to change in CE version Solution: Leverage Query Store to baseline and find regressions and force healthy

plans

Common Performance Scenarios

▪ Sensitivity to parameter sniffing Solution: Leverage the RECOMPILE hint or add the option OPTIMIZE FOR option to

the stored procedure


▪ Missing indexes Solution: Look for duplicate, redundant, rarely used and completely unused indexes

with the Database Engine Tuning Advisor and Missing Index DMVs


Pre-existing maintenance scripts:• Index Information - Output

index info on all databases, including duplicate, redundant, rarely used and unused indexes

• Index Creation - Looks for relevant missing indexes in SQL Server

▪ Inability for predicates to filter data Solution: For better-quality plan, predicates must be SARGable, or Search

Argumentable. These scenarios are addressed via T-SQL development

▪ Examples of non-SARGable predicates: Implicit data conversions, like VARCHAR to NVARCHAR, or INT to VARCHAR Look for

runtime CONVERT_IMPLICIT warnings in the Actual Execution Plans Converting from one type to another can also cause a loss of precision.

Complex undetermined expressions such as WHERE UnitPrice + 1 < 3.975, but not WHERE UnitPrice < 320 * 200 * 32

Expressions using functions, such as WHERE ABS(ProductID) = 771 or WHERE UPPER(LastName) = 'Smith'

Strings with a leading wildcard character, such as WHERE LastName LIKE '%Smith', but not WHERE LastName LIKE 'Smith%'


▪ Use of Table Valued Functions (Multi-Statement vs Inline) performance issues due to fixed estimates Solution(s):

T-SQL If the Multi-Statement TVF is single statement only, convert to Inline TVF

SQL Server 2017+ Features SQL Server 2017 database compatibility level 140 provides the Adaptative

Query Processing (AQP) capability which may provide performance improvements to avoid rewriting

More complex scenarios may require using intermediate results stored in Memory-Optimized tables or leveraging temporary tables


▪ Create passive nodes / replicas for Always On / Clustering

▪ Leverage SQL Server 2016 / 2017 Security Features Row Level Security and Dynamic Data Masking

Always Encrypted

Advanced Threat Detection and Auditing Policies

▪ Evaluate Performance Features Columnstore Indexing, In Memory OLTP, Upgrade SSMS 17.8.x

▪ Ensure Maintenance Scripts are running correctly DBCC CHECKDB, Index and Statistics Maintenance

▪ Ensure that all backup scripts are functioning correctly For Azure Migrations consider leveraging:

SQL Server Managed Backup

Microsoft Azure and Backup and Restore for SQL Server in Azure Virtual Machines

Other Post Migration Steps


References

▪ Azure and SQL Server Performance Center

http://aka.ms/SQLPerfCenter

▪ Enable plan-affecting SQL Server query optimizer behavior that can be controlled by different trace flags on a specific-query level

https://support.microsoft.com/en-us/help/2801413/enable-plan-affecting-sql-server-query-optimizer-behavior-that-can-be

▪ Recommended updates and configuration options for SQL Server 2012 and SQL Server 2014 with high-performance workloads

https://support.microsoft.com/en-us/help/2964518/recommended-updates-and-configuration-options-for-sql-server-2012-and

http://aka.ms/SQLPerfCenter

https://support.microsoft.com/en-us/help/2801413/enable-plan-affecting-sql-server-query-optimizer-behavior-that-can-be

https://support.microsoft.com/en-us/help/2964518/recommended-updates-and-configuration-options-for-sql-server-2012-and

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SQL Server 2008 End of Support (EOS): Azure Planning and Migration Strategies

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Documents

SQL Server 2008 End of Support (EOS): Azure Planning and