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README

:include:QUICKLINKS

= Why DataMapper?

== Open Development

Datamapper sports a very accessible code-base and a welcoming community. Outside contributions and feedback are welcome and encouraged, especially constructive criticism. Make your voice heard! Submit a ticket[http://wm.lighthouseapp.com/projects/4819-datamapper/overview] or patch[http://wm.lighthouseapp.com/projects/4819-datamapper/overview], speak up on our mailing-list[http://groups.google.com/group/datamapper/], chat with us on irc[irc://irc.freenode.net/#datamapper], write a spec, get it reviewed, ask for commit rights. It's as easy as that to become a contributor.

== Identity Map

One row in the database should equal one object reference. Pretty simple idea. Pretty profound impact. If you run the following code in ActiveRecord you'll see all <tt>false</tt> results. Do the same in DataMapper and it's <tt>true</tt> all the way down.


  @parent = Tree.find(:first, :conditions => ['name = ?', 'bob'])

  @parent.children.each do |child|
    puts @parent.object_id == child.parent.object_id
  end

This makes DataMapper faster and allocate less resources to get things done.

== Don't Do What You Don't Have To

ActiveRecord updates every column in a row during a save whether that column changed or not. So it performs work it doesn't really need to making it much slower, and more likely to eat data during concurrent access if you don't go around adding locking support to everything. 

DataMapper only does what it needs to. So it plays well with others. You can use it in an Integration Database without worrying that your application will be a bad actor causing trouble for all of your other processes.

== Eager Loading

Ready for something amazing? The following example executes only two queries.

  zoos = Zoo.all
  first = zoos.first
  first.exhibits # Loads the exhibits for all the Zoo objects in the zoos variable.

Pretty impressive huh? The idea is that you aren't going to load a set of objects and use only an association in just one of them. This should hold up pretty well against a 99% rule. When you don't want it to work like this, just load the item you want in it's own set. So the DataMapper thinks ahead. We like to call it "performant by default". This feature single-handedly wipes out the "N+1 Query Problem". No need to specify an <tt>include</tt> option in your finders.

== Laziness Can Be A Virtue

Text columns are expensive in databases. They're generally stored in a different place than the rest of your data. So instead of a fast sequential read from your hard-drive, your database server has to hop around all over the place to get what it needs. Since ActiveRecord returns everything by default, adding a text column to a table slows everything down drastically, across the board.

Not so with the DataMapper. Text fields are treated like in-row associations by default, meaning they only load when you need them. If you want more control you can enable or disable this feature for any column (not just text-fields) by passing a @lazy@ option to your column mapping with a value of <tt>true</tt> or <tt>false</tt>.


  class Animal < DataMapper::Base
    property :name, :string
    property :notes, :text, :lazy => false
  end

 
Plus, lazy-loading of text fields happens automatically and intelligently when working with associations.  The following only issues 2 queries to load up all of the notes fields on each animal:

  animals = Animal.all
  animals.each do |pet|
    pet.notes
  end

== Plays Well With Others

In ActiveRecord, all your columns are mapped, whether you want them or not. This slows things down. In the DataMapper you define your mappings in your model. So instead of an _ALTER TABLE ADD COLUMN_ in your Database, you simply add a <tt>property :name, :string</tt> to your model. DRY. No schema.rb. No migration files to conflict or die without reverting changes. Your model drives the database, not the other way around. 

Unless of course you want to map to a legacy database. Raise your hand if you like seeing a method called <tt>col2Name</tt> on your model just because that's what it's called in an old database you can't afford to change right now? In DataMapper you control the mappings:


  class Fruit < DataMapper::Base
    set_table_name 'frt'
    property :name, :string, :column => 'col2'
  end


== All Ruby, All The Time

It's great that ActiveRecord allows you to write SQL when you need to, but should we have to so often? 

DataMapper supports issuing your own SQL, but it also provides more helpers and a unique hash-based condition syntax to cover more of the use-cases where issuing your own SQL would have been the only way to go. For example, any finder option that's non-standard is considered a condition. So you can write <tt>Zoo.all(:name => 'Dallas')</tt> and DataMapper will look for zoos with the name of 'Dallas'. 

It's just a little thing, but it's so much nicer than writing <tt>Zoo.find(:all, :conditions => ['name = ?', 'Dallas'])</tt>. What if you need other comparisons though? Try these:


  Zoo.first(:name => 'Galveston')

  # 'gt' means greater-than. We also do 'lt'.
  Person.all(:age.gt => 30)

  # 'gte' means greather-than-or-equal-to. We also do 'lte'.
  Person.all(:age.gte => 30)

  Person.all(:name.not => 'bob')

  # If the value of a pair is an Array, we do an IN-clause for you.
  Person.all(:name.like => 'S%', :id => [1, 2, 3, 4, 5])

  # An alias for Zoo.find(11)
  Zoo[11]

  # Does a NOT IN () clause for you.
  Person.all(:name.not => ['bob','rick','steve'])


See? Fewer SQL fragments dirtying your Ruby code. And that's just a few of the nice syntax tweaks DataMapper delivers out of the box...

== Better Is Great, But Familiar Is Nice

The DataMapper also supports a lot of old-fashioned ActiveRecord syntax. We want to make it easy for you to get started, so aside from mapping your columns and changing the base-class your models inherit from, much of AR syntax for finders are supported as well, making your transition easy.