Simplify database performance tuning with Azure SQL Database

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1 Simplify database performance tuning with Azure SQL Database Vladimir Ivanovic, Borko Novakovic, Veljko Vasic Program Managers, Microsoft Database Systems Group

Azure SQL DB Workload Insights Azure SQL Database Service

Azure Database RDBMS SQL world: Database today: as an

automatically of building, the tedious manages running work

the HA users - Users Requires focus still significant need

large of according DB-specific investment to their details

2 Azure SQL DB Workload Insights Azure SQL Database Service Powered by Workload Insight Towards Traditional Azure SQL Azure Database RDBMS SQL world: Database today: as an intelligent service - Platform All aspects does automatically of building, the tedious manages running work and automatically HW/SW tuning stack, are left backups, to the HA users - Users Requires focus still significant need on guiding to worry expertise the about platform and a lot large of according DB-specific investment to their details of time/energy needs - User focus is on how the AzureDB RDBMS platform works works

Workload Insights in Azure SQL Database Strike the

across your many DBs Easily tune the workload

Recommendations or auto-management Quickly

3 Workload Insights in Azure SQL Database Strike the desired price/perf balance Optimum elastic pool across your many DBs Easily tune the workload performance Optimize the indexes in your DBs Recommendations or auto-management Quickly troubleshoot your DB performance Query Store and insights on top queries

4 Workload Insights in Azure SQL Database Strike the desired price/perf balance Optimum elastic pool across your many DBs Easily tune the workload performance Optimize the indexes in your DBs Recommendations or auto-management Quickly troubleshoot your DB performance Query Store and insights on top queries

5 Azure SQL Database Index Advisor Vladimir Ivanovic, Program Manager, Microsoft Database Systems Group

Easily Tune Database Performance with Index Advisor SQL Database Index Advisor Tuning Models Azure Cloud Intelligent service for implementing and refining index recommendations Index tuning

6 Easily Tune Database Performance with Index Advisor SQL Database Index Advisor Tuning Models Azure Cloud Intelligent service for implementing and refining index recommendations Index tuning recommendations tailored to each DB Tuning based on the observed usage, and evolves as workload changes Full-auto mode service takes full care of the indexes for your DB Manual review and apply mode also available for full control Report + visualization of index impact

7 Index Advisor Demo

8 Elastic Pool Recommendations Veljko Vasic, Program Manager, Microsoft Database Systems Group

9 Single Database Database Transaction Units (DTUs) B S0 S1 S2 S3 P1 P2 P4 P6 P11 Basic Standard Premium

10 Elastic Database Pools ` Premium elastic database pool 125 1,500 edtus per pool Basic elastic database pool 100 1,200 edtus per pool Standard elastic database pool 100 1,200 edtus per pool Auto-scale up to 5 edtus per DB Auto-scale up to 100 edtus per DB Auto-scale up to 1,000 edtus per DB Basic Standard Premium

11 Elastic Pools Demo

12 Azure SQL Database Query Performance Insight and Query Store Borko Novakovic, Program Manager, Microsoft Database Systems

Query Store Comprehensive query performance information when you need it most Workload data recorder for your database queries, plans, compilation and runtime statistics available at your fingertips

13 Query Store Comprehensive query performance information when you need it most Workload data recorder for your database queries, plans, compilation and runtime statistics available at your fingertips allows you to identify and fix performance issues in the range of minutes Queries SQL Database Cloud and on premises Queries SQL Server 2016 Now you can easily fix serious performance issues learn and optimize your workloads apply system changes more safely

14 Data driven troubleshooting sys.query_store_runtime_stats plan_id runtime_stats_interval_id avg_ min_ max_ std_dev count_executions execution_type_id duration cpu_time logical_io_reads logical_io_writes physical_io_reads dop query_max_used_memory Determine query frequency (ad-hoc/ regular/frequent)? Separate Combine 0-regular, regularly finished from with avg_ metrics to incomplete calculate 3-client aborted, ones. totals. 4-server aborted What is the frequency of incomplete Which queries? queries are slow? Look at multiple intervals for regressions Pinpoint Which queries CPU intensive are aborted queries (frequently / recently)? cpu_time << duration => waits Pinpoint I/O intensive queries Check if you suspect on DOP issues Has data statistics changed? 14 rowcount clr_time Separate CLR from the rest of the workload

15 Conclusions Key takeaways Query Store is a query data recorder that dramatically simplifies self-service performance troubleshooting. Query Store is a platform for new performance tuning products in Azure SQL Database. Thank you! Try Query Store, Query Performance Insights and Index Advisor Today!

Monitoring & Tuning Azure SQL Database

Monitoring & Tuning Azure SQL Database Dustin Ryan, Data Platform Solution Architect, Microsoft Moderated By: Paresh Motiwala Presenting Sponsors Thank You to Our Presenting Sponsors Empower users with