Availability and Performance for Tier1 applications

Transcription

1 Assaf Fraenkel Senior Architect (MCA+MCM SQL 2008) MCS Israel Availability and Performance for Tier1 applications

2 Agenda and Takeaways Agenda: Introduce the new SQL Server High Availability and Disaster Recovery solution (AlwaysOn) in SQL Server Column Based Store - New way to boost performance Extended Events - Briefing Key Takeaway(s): Get the overview of these features According to your specific needs - deep dive into these features

3 Mission Critical Confidence REQUIRED 9s & DATA PROTECTION BLAZING-FAST PERFORMANCE ORGANIZATIONAL COMPLIANCE & PEACE OF MIND A A A Greater flexibility and availability with SQL Server AlwaysOn Maximized hardware resources Support for Windows Server Core to reduce planned downtime Column-based query accelerator for dramatic performance gains Faster performance for FILESTREAM, spatial & FTS User-defined server roles for better separation of duties & Audit support across editions SharePoint & Active Directory integration for secure BI data Simplified application testing with Distributed Replay and streamlined troubleshooting with Extended Events

4 Always On

5 Mission Critical High Availability Reuse existing investment SAN versus DAS environments

6 Mission Critical High Availability AlwaysOn Solution in SQL 2012 Multi-Database Failover Multiple Secondaries Active Secondaries Integrated HA Management

7 AlwaysOn Availability Group Providing Database Availability

8 Mission Critical High Availability Multi-database failover Total of 4 secondaries 2 synchronous secondaries 1 automatic failover pair Synchronous and asynchronous 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 Replication publisher/subscriber failover Supported with Contained Database, File Stream, File Table, Service Broker Readable Secondary Backup from Secondary

9 AlwaysOn Availability Group AlwaysOn provides the flexibility of different HA configurations A A A A A A A Direct attached storage local, regional and geo target Shared Storage, regional and geo secondaries Synchronous Data Movement Asynchcronous Data Movement

10 AlwaysOn Availability Group Application Failover with Availability Group Listener Availability Groups Listener allow applications to failover seamlessly to any secondary; reconnecting through Virtual Network Name ServerA ServerB ServerC 2 DB 2 DB 2 DB TechAG1 Primary TechListener1 Secondary Primary Secondary Application retry during failover Parameter Sample: -server TechListener1;-catalog HRDB Connect to new primary once failover is complete and the listener is online

11 AlwaysOn Availability Group Active Secondary : Backup and Log Shipping on secondary Secondary R/W workload Primary Backups Secondary Backups Log Shipping Backups can be done on any replica of a database Backups on primary replica still works Log backups done on all replicas form a single log chain Database Recovery Advisor makes restores simple DRP

12 Deploying AlwaysOn Availability Group Demo

13 Columnstore Indexes

14 Is This Your Data Warehouse Experience? Waiting

15 Columnstore Indexes Waiting

16 Value Proposition of Columnstore Indexes Faster, interactive query response time Easier data exploration Better decisions Reduced physical DB design effort Fewer indexes Reduced need for summary aggregates and indexed views May eliminate need for OLAP cubes Transparent to the application Ability to handle larger workload on given hardware

17 ColumnStore Indexes in Action Demo

18 Memory Management Management is automatic Columnstore is persisted on disk Columns (segments) fetched into memory as needed Columnstore segments flow between disk and memory T.C1 T.C1 T.C1 T.C1 T.C1 T.C2 T.C2 T.C2 T.C3 T.C3 T.C3 T.C3 T.C3 T.C4 T.C4 T.C4 SELECT C2, SUM(C4) FROM T GROUP BY C2; T.C2 T.C4 T.C2 T.C4

19 How Does Batch Mode Speed Up Queries? Advanced query processing technology Batch mode execution of some operations Processes column data in batches Groups of batch operations in query plan Compact data representation Highly efficient algorithms Better parallelism

20 List of qualifying rows Batch object Column vectors Processing Data Columnstore index scan can produce batches or rows Batch-enabled operators get batches Non-batch operators get rows Query optimizer decides

21 Limitations When Using ColumnStore Indexes Creating columnstore index Only on common business data types Yes No int, real, string, money, datetime, decimal <= 18 digits decimal > 18 digits, binary, varbinary, CLR, (n)varchar(max), varbinary (max), uniqueidentifier, datetimeoffset with precision > 2 Maintain table: limited operations Can read but not update the data Can switch partitions in and out Processing queries All read-only T-SQL queries run Some queries are accelerated more than others

22 Multiple DISTINCT aggregates issue & workaround Table Spool if query has 2 or more DISTINCT aggregates Spool takes time to write Spool write is single threaded Reads of spool in plan are single threaded, in row mode Workaround: form each DISTINCT agg in separate subquery Join results on grouping keys SQL Server 2012 runs queries with 1 DISTINCT agg and 1 or more non-distinct aggs in batch mode without any spool!

23 Summary Columnstore indexes can enable phenomenal performance gains Batch mode processing is an essential ingredient for speedup Some adjustments to schema and loading processes may be necessary Some queries can benefit from tuning Columnstore indexes are not a magic bullet

24 Diagnostic tracing using Extended Events

25 We have more complex systems Desire for more detailed information Why do we need Extended Events? New Problems for Diagnostics Need to reduce performance impact of diagnostics Need to find unexpected interactions

26 Unique Value of Extended Events Scalability Bigger machines, more work, more events - no problem. Events are dynamic Collect additional data on any event Perform an action when an event happens Cross process event tracking Track relationship between different tasks/threads/processes Integrates with Windows eventing Expose tracing information to Windows tools such as Xperf Coordinate with trace data from other ETW Providers

27 Key Advancements in SQL Server 2012 Graphic User Interface! Both Advanced & Wizard based event session creation. Tabular view of event data. Filter, Sort, Group & Aggregate right in the user interface. Export event data to Table, CSV or XEL. Managed APIs New Object Model: Create, Modify and Drop event sessions. Start & Stop event sessions. Read event data from file or directly from a running event session. New Events & Updated Target Names More than twice as many events (over 600). Now includes all the same data as SQL Trace. Asynchro-what? - event_file, historgram, event_counter

28 Extended Events Demo

29 Summary and Takeaways We learned: Introduce the new SQL Server High Availability and Disaster Recovery solution (AlwaysOn) in SQL Server Column Based Store - New way to boost performance Extended Events - Briefing Key Takeaway(s): According to your specific needs - deep dive into these features Start to Implement

30 Thank You!

31 לצפייה במצגות והרצאות האירוע היכנסו: 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.