SQLBits 2014
Bad Plan! Sit!
In this session we'll look at the common causes of bad execution plans and examine options for resolving the problem, short term and long term.
Bad execution plans are the bane of database performance everywhere they crop up. But what is a bad execution plan? How do you identify one in your system and, once identified how do you go about fixing it?
In this session we’ll look at some things that make a plan ‘bad’, how you might detect such plans and various methods of fixing the problem, both immediately and long-term.
Speakers
Gail Shaw's other proposed sessions for 2026
All about Indexes - Part 1 - 2026
All about Indexes - Part 2 - 2026
Identifying the worst performing queries in a DB, with Query Store - 2026
KQL for the SQL Professional - 2026
On Transactions and Atomic Operations - 2026
Parameter Sniffing vs Parameter Sensitive Plan Optimization - 2026
Transaction Log Internals, unplugged - 2026
Gail Shaw's previous sessions
Regressions, neurons and decisions. Oh My!
Linear regression, neural networks and neural networks are three of the foundational algorithms in machine learning. In this session, we'll look at how they work and how they generate the results that they do.
All about Indexes
Indexes are essential to good database performance, but it can be hard to decide what indexes to create. In this session we'll look at the design considerations for clustered indexes and for nonclustered indexes.
All about Indexes
Indexes are essential to good database performance, but it can be hard to decide what indexes to create. In this session we'll look at guidelines for index creation
Do's and don'ts of database corruption
In this session we'll look at the things you should and shouldn't be doing now, to protect yourself and your data against the risk of corruption and thing you should and shouldn't do should the database ever become corrupt.
Bad Plan! Sit!
In this session we'll look at the common causes of bad execution plans and examine options for resolving the problem, short term and long term.