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Red Hat Summit 2017 - Intro to SQL Server on RHEL and Open Shift
The document discusses the integration of SQL Server 2017 with Red Hat Enterprise Linux and OpenShift, highlighting its innovations in database security, performance, and analytics. It emphasizes SQL Server's position as an industry leader in various categories over the years, and introduces new features such as advanced machine learning support and enhanced security measures. Additionally, it outlines the early adoption program and available resources for developers interested in SQL Server on Linux.
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Red Hat Summit 2017 - Intro to SQL Server on RHEL and Open Shift
- 1. Introduction to SQLServer on Red Hat Enterprise Linux and Open Shift Travis Wright Principal Program Manager May 3, 2017
- 3. Most secure databaseover the last 7 years Highest performing data warehouse End-to-end mobile BI at a fraction of the cost In-database Advanced Analytics An industry leader four years in a row SQL Server 2016Everything Built-in This graphic was 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. 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.
- 4. Most secure databaseover the last 7 years Highest performing data warehouse End-to-end mobile BI at a fraction of the cost In-database Advanced Analytics 0 20 40 60 80 100 120 140 160 180 200 Vulnerabilities(2010-2016) An industry leader four years in a row SQL Server 2016Everything Built-in
- 5. Most secure databaseover the last 7 years Highest performing data warehouse End-to-end mobile BI at a fraction of the cost In-database Advanced Analytics non-clustered results An industry leader four years in a row #1 SQL Server 2016Everything Built-in
- 6. Most secure databaseover the last 7 years Highest performing data warehouse End-to-end mobile BI at a fraction of the cost In-database Advanced Analytics An industry leader four years in a row SQL Server 2016Everything Built-in
- 7. Highest performing datawarehouse End-to-end mobile BI at a fraction of the cost In-database Advanced Analytics 1 Million PREDICTIONS/SEC An industry leader four years in a row Most secure database over the last 7 years SQL Server 2016Everything Built-in
- 8. Combining the bestof databases & analytics OLTP DW BI Analytics
- 9. Powering the largest surveyof the Universe (SkyServer) Leading breakthroughs in cancer research Helping increase crop yield
- 10. 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
- 11. Microsoft is delivering on choice SQLServer 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 1/3 of VMs in Azure are on Linux
- 12. SQL Server 2017 Runon Linux & Docker Support for Graph queries to analyze complex relationships Advanced Machine Learning with R & Python Adaptive query processing learns & optimizes for unparalleled performance SQL Server 2017 Announcing
- 13. System Architecture SQL PlatformAbstraction Layer (SQLPAL) DB Engine 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
- 15. Windows Linux GA Developer,Express, Web, Standard, Enterprise Database Engine R Services, Integration 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
- 16. Programming Features • Supportfor RHEL, SUSE, Ubuntu, Docker • Package based installs, Docker image • Support for Open Shift, Kubernetes, Docker Swarm, DC/OS • Failover Clustering through Pacemaker • Backup/Restore • SSMS on Windows connected to Linux • Command line tools: sqlcmd, bcp, sqlpackage • SQL Server Agent • Replication • 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!
- 17. SQL Control Access Databaseaccess 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/TLS)* 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 What’s coming in SQL Server 2017for Linux Security *In progress
- 18. What’s coming inSQL Server 2017 for Linux High availability and disaster recovery • 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
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- 22. SQL Server 2017Timeline 3/2016 Announce and private preview 11/2016 Public Preview @ Connect() Targeting 2H CY2017 General Availability Monthly releases CTP2 – production support for EAP
- 23. ISVs, service providersand 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 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
- 24. Download the bits www.sqlserveronlinux.com Applyto join the SQL Early Adoption Program https://aka.ms/eapsignup
- 25. Resources RHEL-based SQL Servercontainer Dockerfile https://github.com/twright-msft/mssql-server-rhel Example voting application https://github.com/twright-msft/example-voting-app JBoss Day Trader application https://github.com/twright-msft/jboss-daytrader Install SQL Server on RHEL https://docs.microsoft.com/en-us/sql/linux/sql-server-linux- setup-red-hat SQL Server Developer Tutorials http://aka.ms/sqldev Early Adoption Program Info and Sign up http://aka.ms/eapsignup Red Hat Product Demo System – Available Now! • SQL Server • .NET Core http://rhpds.redhat.com Benchmark blog post http://rhelblog.redhat.com/2017/04/19/microsoft-red-hat-hpe/
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