This document summarizes a presentation about troubleshooting slow queries using Query Store, Live Query Statistics, and Plan Comparison. The presenter is Amit Banerjee, a Senior Program Manager on the Microsoft SQL Server team focusing on HADR and Replication. The presentation covers how Query Store can help find and fix plan regressions and identify top resource consumers. It also demonstrates Live Query Statistics and Plan Comparison tools.

1. Slow Query: Bring It On
Amit Banerjee
Sr. Program Manager
Microsoft Data Platform Group

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3. 3
C:Users>
whoami
Known on Twitter as
@banerjeeamit
 An affair with SQL Server for nearly a decade
 Was part of SQL Escalation Services and Premier Field
Engineering team at Microsoft
 Now a Sr. Program Manager on the Microsoft SQL Server
(TIGER) product team focusing on HADR and Replication
 Speaker at SQL PASS, TechEd, Virtual TechDays, User
Groups, SQL Saturdays
 Dabble around with supportability tools and have contributed
to SQL Backup Simulator, SQLDIAG/PSSDIAG Manager and
SQL Nexus
 Co-authored “Professional SQL Server 2012: Internals and
Troubleshooting”
 Own TroubleshootingSQL.com
 Also found at http://aka.ms/sqlserverteam or @mssqltiger

4. SLOW QUERY

5. Agenda
 Query Store
 Live Query Statistics
 Plan Comparison

6. MobileReports
Natural
language
queryDashboardsApplications
StreamingRelational
Internal &
external

Non-relational NoSQL
Orchestration
Machine
learningModeling
Information
management
Complex event
processing
Data
The Microsoft
data platform

7. Query Store: When performance is not
good…
Database
is not
working
Web
site is
down Impossible
to predict /
root cause
Tempor
ary perf.
issues Regression
caused by
new bits
DB
upgrad
ed

8. With Query Store you CAN…
Find and fix plan
regressions
Identify top
resource
consumers
De-risk SQL
Server upgrade
Deeply analyze
workload
patterns

9. Live Query Statistics

10. Plan Comparison

11. Demonstration

12. QUESTIONS

13. Resources
 Live Query Statistics
 Query Store
 Plan Comparison Tool
 http://aka.ms/sqlserverteam or @mssqltiger
 Known on Twitter as @banerjeeamit

14. Like What You’ve Heard?
• Preconference Session:
• How to be a Ninja: Troubleshooting SQL
performance on Azure Virtual Machines

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