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SQL
SQL
Performance
• Query Store
• Adaptive Query
Processing
• Automatic
Tuning
• Columnstore and
In-Memory OLTP
• “It Just Runs
Faster”
Security
• Always
Encrypted
• Row Level
Security
• Dynamic Data
Masking
Availability
• Clusterless
Availability
Groups
• Distributed
Transactions for
Availability
Groups
• Resumable Index
Maintenance
Developer
• JSON
• Temporal Tables
• Graph Database
Modern
Platform
• Linux and
Containers
• Machine
Learning Services
with R and
Python
Solving Modern Data Challenges
1 0 1 0
0 1 0 1
0 1 1 0
SQL
ciphertext
Enclave
plaintext
R
SQL Server 2019
Arm64
• Intelligent Query Processing
Gain Performance with no
application changes
• Data Classification and Auditing
Need to classify and audit
your data?
• Accelerated Database Recovery
Long running transactions
affect your availability
• Data Virtualization
Want external access with
no data movement?
• SQL Server Replication in one command
Is SQL Server on Linux and
Containers compatible?
• Additional capabilities, Migration Tools, and Database
Compatibility
Additional capabilities and
Migration
https://aka.ms/bobwardms
https://github.com/microsoft/sqlworkshops/tree/master/SQLGroundToCloud/slides
The intelligent database
Gain performance without
changing the application
The Intelligent Query Processing feature family
Intelligent QP
Adaptive QP
Adaptive Joins
Batch Mode
Interleaved
Execution
Memory Grant
Feedback
Row Mode
Batch Mode
Table Variable
Deferred Compilation
Approximate QP
Approximate
Count Distinct
Batch Mode for
Row Store
Scalar UDF
inlining
The Solution(s)
• Build intelligent, adaptable operators
• Modify query plans in cache based
on previous execution
• Expand batch mode
• Execution data drives downstream
compilation
• Smarter query processing
140
140
140
150
150
150
140 SQL Server 2017
150 SQL Server 2019
150
Confidential computing
plaintext ciphertext
Enhanced
client driver
Enclave
plaintext
Always Encrypted with secure enclaves
ADD SENSITIVITY CLASSIFICATION TO
dbo.sales.price, dbo.sales.discount
WITH ( LABEL='Highly Confidential',
INFORMATION_TYPE='Financial' )
data_sensitivity_information
Who, what, and when accessed my
classified data?
Keep SQL Server running
Parallel redo can
help
Undo dependent
on oldest active
transaction
“Long” recovery
usually due to
long undo
Persisted
Version Store
Logical Revert
sLog
Cleaner
Improved
Read Replicas
SQL Server
T-SQL
Analytics Apps
ODBC NoSQL Relational databases Big data
PolyBase external tables
 It all started with T-SQL against Hadoop
 Query data where it lives using T-SQL
 Compute engine integrated with SQL Server
 Distributed, scalable query performance
 Manual/deploy with SQL Server
 Auto deploy/optimize with Big Data Clusters
Intelligence over all data
“It’s all about
Data Virtualization”
SQL
Managed SQL Server, Spark,
and data lake
Store high volume data in a data lake and access
it easily using either SQL or Spark
Management services, admin portal, and
integrated security make it all easy to manage
SQL
Server
Data virtualization
Combine data from many sources without
moving or replicating it
Scale out compute and caching to boost
performance
T-SQL
Analytics Apps
Open
database
connectivity
NoSQL Relational
databases
HDFS
Complete AI platform
Easily feed integrated data from many sources to
your model training
Ingest and prep data and then train, store, and
operationalize your models all in one system
SQL Server External Tables
Compute pools and data pools
Spark
Scalable, shared storage (HDFS)
External
data sources
Admin portal and management services
Integrated AD-based security
SQL Server
ML Services
Spark &
Spark ML
HDFS
REST API containers
for models
SQL Platform Abstraction Layer
(SQLPAL)
RDBMS IS AS RS
Windows Linux
Windows Host Ext. Linux Host Extension
SQL Platform Abstraction Layer
(SQLPAL)
Host extension mapping to OS system calls
(IO, Memory, CPU scheduling)
Win32-like APIs
SQL OS API
SQL OS v2
All other systems
System resource &
latency sensitive code paths
Choice across OS and containers
Linux
Containers and Kubernetes
Windows
Modern platform
Fintech company swiftly migrated workloads to SQL
Server on Linux with minimal downtime and no
performance issues
Container Container Container
Portable
Run anywhere containers are supported
Lightweight
Reduced disk, CPU, and memory footprint
Consistent
Consistent image of SQL Server, scripts, and tools
Efficient
Faster deployment, reduced patching, and
less downtime
Container configuration
Database
Persisted storage
Switch for
simple
upgrades
Persistent Volume Storage
Kubernetes
Built-in HADR orchestration with no clustering required
User
Node
Pod
SQL Server
Node
Load Balancer Service
Node
Pod
SQL Server
Pod
SQL Server
SQL
Server
R
String or binary data would be truncated
String or binary data would be truncated
in table '%.*ls', column '%.*ls’.
Truncated value: '%.*ls'
SELECT page_info.*
FROM sys.dm_exec_requests AS d
CROSS APPLY
sys.fn_PageResCracker(d.page_resource) AS r
CROSS APPLY sys.dm_db_page_info(r.db_id,
r.file_id, r.page_id,'DETAILED')
AS page_info;
SQL Server
Microsoft Access
SQL
SQL
Reduce
upgrade risks
Unified
application
certification
Upgrade to latest
SQL Database
Engine version
Upgrade your SQL Server Database Engine or
move instances to the cloud with no code changes
Applications tested and certified on a given SQL
Server version are also implicitly tested and
certified on that SQL Server version native
database compatibility level
Separate application and platform layer upgrade
cycles for less disruption
Microsoft fully supports Compatibility Certification
Compatibility Certification benefits
Upgrade to the latest SQL Server Database Engine
without changing your critical applications
Frictionless migration
with no code changes
Certify once, run on-premises and in the cloud with Compatibility
Certification
Upgrade & modernize your SQL Server database on-premises, in the cloud and on the edge with Compatibility
Certification that eliminates risks of application compatibility
http://aka.ms/bobwardms
http://aka.ms/bobsqldemos
http://aka.ms/sqllinuxbook
Use our free training at https://aka.ms/sqlworkshops
Learn from videos and demos at https://aka.ms/sqlchannel
Download and try SQL Server 2019 at http://aka.ms/ss19
Watch the video Modernizing SQL Server at
https://www.youtube.com/watch?v=5RPkuQHcxxsto to plan your migration
Read the what’s new for SQL 2019 documentation
Sign-up for the EAP program at https://aka.ms/eapsignup

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SQL Server 2019 Modern Data Platform.pptx

  • 1.
  • 2.
  • 4. Performance • Query Store • Adaptive Query Processing • Automatic Tuning • Columnstore and In-Memory OLTP • “It Just Runs Faster” Security • Always Encrypted • Row Level Security • Dynamic Data Masking Availability • Clusterless Availability Groups • Distributed Transactions for Availability Groups • Resumable Index Maintenance Developer • JSON • Temporal Tables • Graph Database Modern Platform • Linux and Containers • Machine Learning Services with R and Python
  • 5. Solving Modern Data Challenges 1 0 1 0 0 1 0 1 0 1 1 0 SQL ciphertext Enclave plaintext R SQL Server 2019 Arm64
  • 6. • Intelligent Query Processing Gain Performance with no application changes • Data Classification and Auditing Need to classify and audit your data? • Accelerated Database Recovery Long running transactions affect your availability • Data Virtualization Want external access with no data movement? • SQL Server Replication in one command Is SQL Server on Linux and Containers compatible? • Additional capabilities, Migration Tools, and Database Compatibility Additional capabilities and Migration https://aka.ms/bobwardms https://github.com/microsoft/sqlworkshops/tree/master/SQLGroundToCloud/slides
  • 7. The intelligent database Gain performance without changing the application The Intelligent Query Processing feature family Intelligent QP Adaptive QP Adaptive Joins Batch Mode Interleaved Execution Memory Grant Feedback Row Mode Batch Mode Table Variable Deferred Compilation Approximate QP Approximate Count Distinct Batch Mode for Row Store Scalar UDF inlining
  • 8. The Solution(s) • Build intelligent, adaptable operators • Modify query plans in cache based on previous execution • Expand batch mode • Execution data drives downstream compilation • Smarter query processing 140 140 140 150 150 150 140 SQL Server 2017 150 SQL Server 2019 150
  • 9. Confidential computing plaintext ciphertext Enhanced client driver Enclave plaintext Always Encrypted with secure enclaves
  • 10. ADD SENSITIVITY CLASSIFICATION TO dbo.sales.price, dbo.sales.discount WITH ( LABEL='Highly Confidential', INFORMATION_TYPE='Financial' ) data_sensitivity_information Who, what, and when accessed my classified data?
  • 11. Keep SQL Server running
  • 12. Parallel redo can help Undo dependent on oldest active transaction “Long” recovery usually due to long undo
  • 14. SQL Server T-SQL Analytics Apps ODBC NoSQL Relational databases Big data PolyBase external tables  It all started with T-SQL against Hadoop  Query data where it lives using T-SQL  Compute engine integrated with SQL Server  Distributed, scalable query performance  Manual/deploy with SQL Server  Auto deploy/optimize with Big Data Clusters Intelligence over all data “It’s all about Data Virtualization”
  • 15. SQL
  • 16.
  • 17. Managed SQL Server, Spark, and data lake Store high volume data in a data lake and access it easily using either SQL or Spark Management services, admin portal, and integrated security make it all easy to manage SQL Server Data virtualization Combine data from many sources without moving or replicating it Scale out compute and caching to boost performance T-SQL Analytics Apps Open database connectivity NoSQL Relational databases HDFS Complete AI platform Easily feed integrated data from many sources to your model training Ingest and prep data and then train, store, and operationalize your models all in one system SQL Server External Tables Compute pools and data pools Spark Scalable, shared storage (HDFS) External data sources Admin portal and management services Integrated AD-based security SQL Server ML Services Spark & Spark ML HDFS REST API containers for models
  • 18. SQL Platform Abstraction Layer (SQLPAL) RDBMS IS AS RS Windows Linux Windows Host Ext. Linux Host Extension SQL Platform Abstraction Layer (SQLPAL) Host extension mapping to OS system calls (IO, Memory, CPU scheduling) Win32-like APIs SQL OS API SQL OS v2 All other systems System resource & latency sensitive code paths Choice across OS and containers
  • 19. Linux Containers and Kubernetes Windows Modern platform Fintech company swiftly migrated workloads to SQL Server on Linux with minimal downtime and no performance issues
  • 20. Container Container Container Portable Run anywhere containers are supported Lightweight Reduced disk, CPU, and memory footprint Consistent Consistent image of SQL Server, scripts, and tools Efficient Faster deployment, reduced patching, and less downtime Container configuration Database Persisted storage Switch for simple upgrades
  • 21. Persistent Volume Storage Kubernetes Built-in HADR orchestration with no clustering required User Node Pod SQL Server Node Load Balancer Service Node Pod SQL Server Pod SQL Server
  • 23. String or binary data would be truncated String or binary data would be truncated in table '%.*ls', column '%.*ls’. Truncated value: '%.*ls' SELECT page_info.* FROM sys.dm_exec_requests AS d CROSS APPLY sys.fn_PageResCracker(d.page_resource) AS r CROSS APPLY sys.dm_db_page_info(r.db_id, r.file_id, r.page_id,'DETAILED') AS page_info;
  • 25. Reduce upgrade risks Unified application certification Upgrade to latest SQL Database Engine version Upgrade your SQL Server Database Engine or move instances to the cloud with no code changes Applications tested and certified on a given SQL Server version are also implicitly tested and certified on that SQL Server version native database compatibility level Separate application and platform layer upgrade cycles for less disruption Microsoft fully supports Compatibility Certification Compatibility Certification benefits Upgrade to the latest SQL Server Database Engine without changing your critical applications Frictionless migration with no code changes Certify once, run on-premises and in the cloud with Compatibility Certification Upgrade & modernize your SQL Server database on-premises, in the cloud and on the edge with Compatibility Certification that eliminates risks of application compatibility
  • 26. http://aka.ms/bobwardms http://aka.ms/bobsqldemos http://aka.ms/sqllinuxbook Use our free training at https://aka.ms/sqlworkshops Learn from videos and demos at https://aka.ms/sqlchannel Download and try SQL Server 2019 at http://aka.ms/ss19 Watch the video Modernizing SQL Server at https://www.youtube.com/watch?v=5RPkuQHcxxsto to plan your migration Read the what’s new for SQL 2019 documentation Sign-up for the EAP program at https://aka.ms/eapsignup

Editor's Notes

  1. 2 mins
  2. 2 mins
  3. 2 mins
  4. 5 mins This is animated in this sequence Data Virtualization with Polybase and Big Data Clusters Intelligent Query Processing and In-Memory databases Security enhancements with Always encrypted with enclaves New HA capabilities such enhancements for AGs, built-in HA support from k8s and OpenShift, and Accelerated Database Recovery Extensibility now with Java Modern platforms choices with compatibility – Backup a db on any of these and restore to any of these
  5. The areas in the blue are all features that exist 1:1 in Azure SQL Server Database. For Kubernetes, this can also be deployed in Azure Kubernetes Service
  6. 3 mins
  7. 2 mins
  8. 2 mins
  9. 3 mins
  10. 3 mins Online index enhancements Resumable online index creation Online Clustered Columnstore index creation and rebuild Always On availability group enhancements includes Primary connection intent More replicas
  11. 2 mins
  12. 3 mins
  13. This is a great example for a company that has existing data sources but doesn’t want to or cannot move the data. This diagram can be demonstrated with a demo video or using the github examples at https://github.com/microsoft/sqlworkshops/tree/master/ModernizeYourDatabases2019/ModernizeSQL2019/Module%208%20Activity%20-%20Data%20Virtualization
  14. BDC is all about providing the install and configuration of Polybase automatically but if you don’t have Hadoop we will install one for you and include Spark with it. The right side of the slide is about using BDC as a complete ML/AI platform. All of this deployed on a cluster that is secure and provides built-in management, HA, and scale using Kubernetes. Note: As of CTP 2.5, BDC does not support ODBC drivers for Polybase
  15. The Platform Abstraction Layer (“PAL”) is what enables SQL Server to run on Linux and Docker. The PAL is used to consolidate OS/platform specific code to enable SQL Server code to become OS agnostic. The SQL Server team set strict requirements to ensure that functionality, performance, and scale were not compromised when deployed to Linux. Part of what makes this possible is the integration of certain parts of MSR’s project Drawbridge. Drawbridge provided an abstraction between the underlying operating system and the application for the purposes of secure containers. Drawbridge was combined with SQL Server OS, which provided memory management, thread scheduling, and IO services, to create SQLPAL. In short, the creation of the PAL allows the same, time-proven core code base for SQL Server to run on new environments such as Docker and Linux – as opposed to porting the Windows code base into multiple operating environments. SQL Server 2017 is not a re-write or a port – it is the same performant, scalable product Microsoft customers have relied upon for years. Speaker note: for more detail, see https://blogs.technet.microsoft.com/dataplatforminsider/2016/12/16/sql-server-on-linux-how-introduction/
  16. The right diagram is to show how to update SQL Server by “switching” containers
  17. HA built into k8s for a single SQL instance
  18. The diagram is to emphasize Process isolation Secure Resource control with RG
  19. Starting with SQL Server 2016, the SQL Server team has stopped deprecating compatibility levels purposefully. The Database Engine is also literally the same accross SQL Server and Azure SQL (including Managed Instance), so a database can be moved seamlessly and the same database code (T-SQL) works the same and undergoes the same optimization processes.​ Therefore, an application that was certified for compatibility 100 (SQL 2008) can work with the same behavior that was set for that version, even when moved to Azure SQL or a modern version of SQL Server.​ This means:​ •No more need to specifically certify for Azure or on-premises separately. Applications tested and certified on a given SQL Server version are also implicitly tested and certified on that SQL Server version native database compatibility level.​ •Reduced upgrade risks because during platform modernization, application and platform layer upgrade cycles can be separated for less disruption, and improved change management​ •Upgrading to a new version of SQL Server or Azure SQL can be done with no code changes by keeping the same compatibility level as the source​ New Databases are set to compatibility level mapping to the version of the Database Engine. When a database is upgraded from any earlier version of SQL Server, the database retains its existing compatibility level if it is at least minimum allowed for that instance of SQL Server or Azure SQL. Upgrading a database with a compatibility level lower than the allowed level (for example from SQL 2005), sets the database to the lowest compatibility level allowed.