ORM or Stored Procedures? Code First or Database First? Ad-Hoc Queries? Impedance Mismatch? If you're a developer or you are a DBA working with developers you have heard all this terms at least once in your life…and usually in the middle of a strong discussion, debating about one or the other. Well, thanks to StackOverflow's Dapper, all these fights are finished. Dapper is a blazing fast microORM that allows developers to map SQL queries to classes automatically, leaving (and encouraging) the usage of stored procedures, parameterized statements and all the good stuff that SQL Server offers (JSON and TVP are supported too!) In this session I'll show how to use Dapper in your projects from the very basis to some more complex usages that will help you to create *really fast* applications without the burden of huge and complex ORMs. The days of Impedance Mismatch are finally over!

1. The micro-ORM that will
change your life
Davide Mauri, Director of Software Engineering,
Sensoria
Dapper .NET

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4. Davide Mauri
Director of Software
Engineering, Sensoria
A DEVELOPER
20 years in development, started with C++,
then VB & Delphi, then C# and now also
Python. Active on GitHub
A DATABASE GUY
15 years spent on High-Performance
Database, Data Warehouse, Business
Intelligence and Business Analytics projects.
Data Platform MVP since 2007
AGILE & AUTOMATION FAN
Fan of Agile Methodology and Automation, I
try to apply them everywhere he can, to
make sure that "people think, machines do".
IoT is where I live and work now, making
sure the above two worlds work well
together
/davidemauri @mauridb
http://www.sensoriafitness.com/

5. Agenda
• The story so far: DEV, DBA, ORM, MicroORM
• Dapper.NET
• Basic Usage
• Advanced Stuff
• Extensions
• Conclusions

6. Let’s start with a definition
fric·tion
The resistance that data finds when it moves from the application to the
database or vice-versa
The resistance that one surface or object encounters when moving over
another.
Friction is bad
- It will slow your performance down
- It will make your DBA scream
- It will make your DEV scream
- It will increase solution costs
© http://becauseracecar.net

7. Impedance Mismatch
Friction exists because of the “Impedance Mismatch”
• Object Oriented Models and Relational Models are different
• Yet they have to co-exists since they are both really good at their job
Friction also gets generated between teams (DBA vs DEV)
• Code First or Database First?
• Stored Procedure or SQL generated on the fly?

8. What’s your current status?
Beginner Advanced
I really encourage you to share this presentation with your developers.

9. The story so far…
DEV usually don’t like to write (and in general deal with) databases, and
SQL code especially
• It looks old…wait: it IS old!
• It’s not OO
• It’s complex/strange/illogic
• It’s really not part of my job
So let’s have something to write the SQL code for us so we can just abstract
from it
• It will even make application work with any DB! That’s a strong selling
point to give to my boss!

10. The story so far…
ORM (Object-Relational-Mapping) to the rescue
• DEVs don’t write the code
• DBAs still can’t put their hands in code but now is the ORM to blame
Everyone is happy from a relationship perspective

11. The story so far…
Performance still crappy. Really crappy. Let’s move to a NoSQL db then.
• It was cool in that presentation right?
• No more normalization stuff….Ehy is the word “Normalization” that one
I’m seeing in MongoDB docs?
• Nice: no joins! Well uhm…but now we have *a lot* of duplication in our
data.
• But the fact that I can just put and get my class is soooooo cool and
comfortable.
• The DBA will figure out later how the extract data from it and if the data has some logical
meaning or not. Even in which property the data is stored. Damn! Someone created the
InvoiceValue property but we already had the InvoceAmout to be used. Oh well, let’s add an if,
no, better!, let’s create a solution that via IoC that allows us to configure where I have to look
for Invoice amount. Great let’s do that for all the other fields too!

12. The story so far…
ORM like EF or NHibernate wrote the SQL code on the fly
• No why to change it if at some point you discover it could have been
written so much better
It would be nice if one could just behave like if the SQL code doesn’t exists:
the DBA will write the code for me and I just map it to my OO objects
• Which is boring anyway.
• There is a tool that, given a query in can automatically map the result
into an OO object of mine?

13. The story so far…
Devs recently come to realize that – an average - they need to use a DB to
excel in their job
• DB is quite cool again. Lock-Free tables, columnar storage, cool uh?
Still writing interacting with the db is boring (which means error prone)
• Create the connection
• Execute the query
• Map the query to OO objects
• Close the connection
• Oh wait, yeah, exception management

14. The story so far…
DBA they want to be able to Improve, Fix, Cleanup, Tweak SQL code
written by DEVs.
• Because if the db is slow it’s THEIR problem, even if they DIDN’T wrote
that code.
• But actually they don’t really want to touch DEVs code….is so dirty! And
it’s barely comprehensible. And look how he wrote this statement, oh my
gosh, this prevents index to be used, geez! Look: my poor server is just
out of CPU and I/O!
• Phone calls. It’s the customer care complaining that they cannot do their job,
everything is slow

15. What a MicroORM is?
Just do one simple thing, take data coming from a database query an use it
to populate pre-existing or dynamic objects
• Nothing more and nothing less
• No frills approach: Not identity mapping, no lazy load
• SQL *MUST* be written manually (no LINQ or other intermediate
language like HQL)
• Tries not to introduce friction when accessing and operating on data
One of the most used, proven and well-known is Dapper .NET
https://blogs.msdn.microsoft.com/dotnet/2016/11/09/net-core-data-access/

16. Why MicroORM?
You are interested in:
GET GREAT PERFORMANCE
REDUCE RESOURCE COSTS
BE IN CONTROL

17. Dapper .NET
First public release on Apr, 2011
Supports .NET “Classic” and .NET Core
Supports any RDBMS supported by .NET ADO providers: SQL Server, SQL
Lite, PostgreSQL, Oracle, MySQL, Firebird, …
Works as an extensions to IDBConnection interface
Installation via NuGet or dotnet add package

18. Dapper .NET
High performance Micro-ORM:
• YOU Create POCO classes
• YOU Write SQL
Map SQL results to POCO classes
• Automatically done 
Very Fast!

19. Where does performances come from?
DynamicMethod
• Inject MSIL directly in the body
of existing code
• Somehow like the “asm” keyword of C/C++
Allows mapping to POCO properties
without Reflection
• Almost no performance impact
• No more boring GetInt32()/GetString()/Get…() code 

20. Dapper .NET
Full source code available on GitHub
https://github.com/StackExchange/dapper-dot-net
Created and used by Stack Exchange
• Battle Tested! 
• Born here: How I learned to stop worrying and write my own ORM
Support available on GitHub and Stack Overflow:
http://stackoverflow.com/questions/tagged/dapper

21. The Basics
Dapper .NET

22. Dapper .NET
Extends the IDBConnection interface
Provides three main methods
• Query
• Execute
• ExecuteScalar

23. Dapper .NET
The three main methods are implemented in various ways
• To support Async/Await
• To support Single/First/FirstOrDefault
• To support multiple results set
• To support DataReaders
Results can be mapped to
• (Enumerable of) POCO classes
• (Enumerable of) dynamic objects

24. Parametric Queries
All methods support parametric queries.
Parameters are identified using the “@” symbol:
Parameters can be
• Anonymous Objects
• DynamicParameters Objects
• List (to support then IN clause)
SELECT [Id], [FirstName], [LastName]
FROM dbo.[Users] WHERE Id = @Id

25. Stored Procedures
Stored procedures can be executed easily
• Set CommandType to StoredProcedure
• Do not specify EXEC[UTE]
• Pass the parameters as shown before
• Return value and Output Parameters can be obtained via
DynamicParameters
• Result can be mapped to (Enumerable of) POCOs or Dynamic Objects just as an
ad-hoc query

26. The Basics
Demo

27. Advanced
Features
Dapper .NET

28. Multiple Execution
Use a IEnumerable parameter to execute the statement for each item.
• Only “Execute” Method supports this feature
var paramList = new List<DynamicParameters>();
paramList.Add(p1)
paramList.Add(p2)
paramList.Add(p3)
var affectedRows = conn.Execute(“<SQL>”, paramList)

29. Multiple Results
Mapping multiple result set to different object is also supported
“Read” is just like the “Query” method and supports all overloads and
specialized methods (eg: ReadFirst, ReadSingle, AsyncRead…)
using (var qm = conn.QueryMultiple(“SELECT…;SELECT…”))
{
var users = qm.Read<User>();
var companies = qm.Read<Company>();
}

30. Multiple Mapping
It’s also possible to take data from one row and split it in multiple objects

31. Table-Valued Parameters
Any IEnumerable or DataTable can be used. (As expected)
Use the extension method .AsTableValuedParameter

32. Special SQL Server Data Types
All ”special” SQL Server Data Types are supported:
• Geometry
• Geography
• HierarchyID
Just use them as usual
• Reference and Use Microsoft.SqlServer.Types
• Use them with Dapper as any other object

33. JSON
JSON in SQL Server is “just” text
Dapper deals with it as such, so Serialization and Deserialization must be
done manually

34. Customizing Interaction with database
There are two way to customize how Dapper will map data to and from
database:
• Mapping: Which property is mapped to column and vice-versa
• Handling: How property’s value is loaded into to database column and
vice-versa

35. Custom Data Mapping
It is possible to replace default “same name” convention mappings
Define mapping between model and database by creating a
CustomPropertyTypeMap
Make it active via SqlMapper.SetTypeMap

36. Custom Type Handling
Explicitly states how handling data between model and database should
happen
• Opens up a world of possibilities, to handle even the most complex
scenarios
SqlMapper is the object that behind the scenes does the mapping
• Can be used explicitly: SqlMapper.AddTypeHandler(<TypeHandler>)
Create your own type handler
• Create a class that derives from SqlMapper.TypeHandler
• Implement methods Parse and SetValue

37. Transactions
Transaction are supported via the usual:
• BeginTransaction
• TransactionScope

38. Buffered & Unbuffered results
By default the entire result set will be loaded in memory and then returned
to you
• The aim is to stay connected to the database for the smallest amount of
time possible
• Of course this means memory usage
In order to have the results usable as soon as they are streamed from the
database the “unbuffered” option exists
conn.Query("SELECT …;", buffered: false);

39. Advanced
Features
Demo

40. Extensions
Dapper .NET

41. Well-Known Extensions
A Growing Ecosystem! Extend Dapper features. Two main families:
• mainly adding CRUD support (by generating SQL on-the-fly)
• customize mapping db to class
A complete list is here:
• http://dapper-tutorial.net/dapper-contrib-third-party-library

42. ORM and micro-ORM
Now the question is: Is a MicroORM good for me?
If you need performance, know SQL and want/need to be in control of
everything: MicroORM is the way to go
• And, btw, for me, a (Backend) Developer *must* know SQL!
If you prefer more support with compile-time, object tracking, intellisense,
etc. and don’t want/need to write your own SQL: ORM is ok
A mix of the two is also possible if needed.

43. Conclusions & Alternatives
Other MicroORM you may want to take a look at
• ORMLite
• PetaPoco
• Massive
• Simple.Data

44. Session evaluations
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45. Thank You
Learn more from Speaker Name
info@davidemauri.it@mauridb