Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

SQL Server 2017 on Linux Introduction


Published on

SQL Server 2017 will bring SQL Server to Linux for the first time. This presentation covers the scope, schedule, and architecture as well as a background on why Microsoft is making SQL Server available on Linux.

Published in: Technology
  • Comparing VigRX Plus to ED Prescription Drugs ▲▲▲
    Are you sure you want to  Yes  No
    Your message goes here
  • Be the first to like this

SQL Server 2017 on Linux Introduction

  1. 1. SQL Server 2017 on Linux Travis Wright Principal PM Presenters
  2. 2. SQL Server on Linux Agenda • Why SQL Server on Linux? • Scope • Architecture • Demo! • Schedule • How to get involved
  3. 3. Businesses are embracing choice 1010 0101 0010 { } T-SQL Java C/C++ C#/VB.NET PHP Node.js Python Ruby Heterogenous environments Multiple data types Different development languages On-premises, cloud, and hybrid environments
  4. 4. Microsoft is delivering on choice SQL Server on Linux HDInsight on Linux R Server on Linux Linux in Azure SQL Server drivers and connectivity Visual Studio Code extension for SQL Server Python, Ruby, … 20,000 applications for the SQL Server on Linux private preview program, including more than 55% of Fortune 500 companies. NEW
  5. 5. National Institute of Standards and Technology Comprehensive Vulnerability Database update 12/2016. Everything built-inTPC-H Oracle is #5#2 SQL Server #1 SQL Server #3 SQL Server The power of SQL Server Everything built-in June 2016 SQL Server 2016 TPC-E 0 1 4 0 0 3 0 34 29 22 15 5 22 16 6 43 20 69 18 49 74 3 0 10 20 30 40 50 60 70 80 2010 2011 2012 2013 2014 2015 2016 SQL Server Oracle MySQL2 SAP HANA 1/12
  6. 6. Only data solution to encrypt your data at rest and in motion Connect your relational data to big data with PolyBase Real-time operational analytics without impacting performance Up to 30x faster transactions, 100x faster queries with InMemory Unparalleled choice for developer tools and languages 1 T-SQL Java C/C++ C#/VB.NET PHP Node.js Python Ruby For all your applications Innovations across all editions Available now SQL Server 2016 SP1
  7. 7. On the platform of your choice SQL Server v.Next Targeting CY2017 SQL Server v.Next GA* SQL Server v.Next Public Preview available now on Linux, Windows, and Docker.
  8. 8. • Buying a SQL Server license—per- server or per-core—grants the option to use it on Windows Server or Linux • Previews are free to download and use in a non-production capacity • Same set of editions on Linux: Developer, Express, Standard, Web, Enterprise LICENSE Licensing Same license, new choice
  9. 9. Stay ahead of the competition with the latest innovations Be future-ready with Software Assurance TODAY vNEXT v∞ Always have access to the latest New Version Rights • Improve productivity with the latest technologies • Lower the cost of acquiring new product versions • Simplify licensing, budgeting and administration
  10. 10. Scope
  11. 11. Windows Linux GA Developer, Express, Web, Standard, Enterprise   Database Engine, Integration Services   R Services, Analysis Services, Reporting Services, MDS, DQS  Maximum number of cores Unlimited TBD Maximum memory utilized per instance 12 TB TBD Maximum database size 524 PB TBD Basic OLTP (Basic In-Memory OLTP, Basic operational analytics)   Advanced OLTP (Advanced In-Memory OLTP, Advanced operational analytics)   Basic high availability (2-node single database failover, non-readable secondary)   Advanced HA (Always On - multi-node, multi-db failover, readable secondaries)   Security Basic security (Basic auditing, Row-level security, Data masking, Always Encrypted)   Advanced security (Transparent Data Encryption)   Data warehousing PolyBase2  Basic data warehousing/data marts (Basic In-Memory ColumnStore, Partitioning, Compression)   Advanced data warehousing (Advanced In-Memory ColumnStore)   Advanced data integration (Fuzzy grouping and look ups)  Tools Windows ecosystem: Full-fidelity Management & Dev Tool (SSMS & SSDT), command line tools   Linux/OSX/Windows ecosystem: Dev tools (VS Code), DB Admin GUI tool, command line tools   Developer Programmability (T-SQL, CLR, Data Types, JSON)   Windows Filesystem Integration - FileTable  BI & Advanced Analytics Basic Corporate Business Intelligence (Multi-dimensional models, Basic tabular model)  Basic “R” integration (Connectivity to R Open, Limited parallelism for ScaleR)  Advanced “R” integration (Full parallelism for ScaleR)  Hybrid cloud Stretch Database  What’s coming in SQL Server on Linux
  12. 12. Programming Features • Support for RHEL, Ubuntu, Docker • Package based installs, Docker image • Support for Open Shift, Docker Swarm • Failover Clustering through Pacemaker • Backup/Restore • SSMS on Windows connected to Linux • Command line tools: sqlcmd, bcp • SQL Server Agent • Log Shipping • Transparent Data Encryption • SCOM Management Pack • DMVs • Full Text Search Operations Features • All major language driver compatibility • In memory OLTP and ColumnStore • Compression • Always Encrypted, Row Level Security, and Data Masking • Service Broker • Change Data Capture • Partitioning • Auditing • CLR • JSON, XML • Third party tools What’s working already? …and more!
  13. 13. Linux Containers Windows Windows Server • RedHat Enterprise Linux (RHEL) 7.3 • SUSE Enterprise Linux (SLES) v12 SP2 • Ubuntu 16.04 & 16.10 • Docker: Windows & Linux containers • Windows Server / Windows 10 • Package based installation Example: yum install mssql-server
  14. 14. SQL Control Access Database access SQL Authentication Active Directory Authentication Granular Permissions Application access Row-Level Security Dynamic Data Masking Monitor Access Tracking activities Fine-Grained Audit Protect Data Encryption at rest Transparent Data Encryption Backup Encryption Cell-Level Encryption Encryption in transit Transport Layer Security (SSL/TLS) Encryption in use (client) Always Encrypted Protect Data Encryption at rest Transparent Data Encryption Backup Encryption Cell-Level Encryption Encryption in transit Transport Layer Security (SSL/ Encryption in use (client) Always Encrypted Control Access Database access SQL Authentication Active Directory Authentication Granular Permissions Application access Row-Level Security Dynamic Data Masking
  15. 15. • Resilience against guest & OS level failures • Planned & unplanned events • Minimum downtime for patching and upgrades • Minutes RTO Simple HADR VM Failure • Protection against accidental or malicious data corruption • DR protection • Minutes to hours RTO Backup/Restore • Instance level protection • Automatic failure detection & failover • Seconds to minutes RTO • Resilience against OS and SQL Server failures Standard HADR Failover Cluster • AG with 2 replicas Basic Availability Groups • Warm standbys for DR Log Shipping • Database level protection • Seconds RTO • No data loss • Recover from unplanned outage • No downtime for planned maintenance • Offload read/backup workload to active secondaries • Failover to geographically distributed secondary site Availability Groups* Mission-Critical HADR
  16. 16. • Windows-based SQL Server tools like SSMS, SSDT, Profiler work when connected to SQL Server on Linux • 3rd party tools continue to work • Native command line tools: sqlcmd, bcp, sqlpackage • Visual Studio Code extension • New cross-platform DB admin GUI tool (planned) • All existing drivers and frameworks supported
  17. 17. Demo
  18. 18. Architecture
  19. 19. SQL Platform Abstraction Layer (SQLPAL) RDBMS IS AS RS Windows Linux Windows Host Ext. Linux Host Extension SQL Platform Abstraction Layer (SQLPAL) Win32-like APIs Host Extension mapping to OS system calls (IO, Memory, CPU scheduling) SQL OS API SQL OS v2 Everything else System Resource & Latency Sensitive Code Paths
  20. 20. SQL Server 2017 Timeline 3/2016 Announce and private preview 11/2016 Public Preview @ Connect() GA Monthly releases 4/17 - CTP2 – production support for EAP 7/17 – RC1
  21. 21. ISVs, service providers and hosters with customers in EAP will also be added to EAP so they can participate there. • Direct access to engineering team via PM buddy and Yammer group • Visibility into roadmap • Provide feedback and input into design of new features and functionality • Full production support from Microsoft Support via special support channel • License amendment to allow running SQL Server 2017 in production prior to GA • Release to release upgrade support • Real world usage of SQL Server in production to verify quality, scale and performance • Discover bugs • Discover issues preventing customer adoption in production • Document customer evidence • NDA • Sign license agreement amendment • Complete pre-deployment questionnaire • Meet with Microsoft Support Customer Benefits Microsoft Goals Requirements SQL Server Early Adoption Program
  22. 22. Download the bits Apply to join the SQL Early Adoption Program
  23. 23. Q&A