class Sequel::Model::Associations::EagerGraphLoader

  1. lib/sequel/model/associations.rb
Superclass: Object

This class is the internal implementation of eager_graph. It is responsible for taking an array of plain hashes and returning an array of model objects with all eager_graphed associations already set in the association cache.

Attributes

after_load_map [R]

Hash with table alias symbol keys and after_load hook values

alias_map [R]

Hash with table alias symbol keys and association name values

column_maps [R]

Hash with table alias symbol keys and subhash values mapping column_alias symbols to the symbol of the real name of the column

dependency_map [R]

Recursive hash with table alias symbol keys mapping to hashes with dependent table alias symbol keys.

limit_map [R]

Hash with table alias symbol keys and [limit, offset] values

master [R]

The table alias symbol for the primary model

primary_keys [R]

Hash with table alias symbol keys and primary key symbol values (or arrays of primary key symbols for composite key tables)

reciprocal_map [R]

Hash with table alias symbol keys and reciprocal association symbol values, used for setting reciprocals for one_to_many associations.

records_map [R]

Hash with table alias symbol keys and subhash values mapping primary key symbols (or array of symbols) to model instances. Used so that only a single model instance is created for each object.

reflection_map [R]

Hash with table alias symbol keys and AssociationReflection values

row_procs [R]

Hash with table alias symbol keys and callable values used to create model instances

type_map [R]

Hash with table alias symbol keys and true/false values, where true means the association represented by the table alias uses an array of values instead of a single value (i.e. true => *_many, false => *_to_one).

Public Class methods

new(dataset)

Initialize all of the data structures used during loading.

[show source]
     # File lib/sequel/model/associations.rb
3729 def initialize(dataset)
3730   opts = dataset.opts
3731   eager_graph = opts[:eager_graph]
3732   @master =  eager_graph[:master]
3733   requirements = eager_graph[:requirements]
3734   reflection_map = @reflection_map = eager_graph[:reflections]
3735   reciprocal_map = @reciprocal_map = eager_graph[:reciprocals]
3736   limit_map = @limit_map = eager_graph[:limits]
3737   @unique = eager_graph[:cartesian_product_number] > 1
3738       
3739   alias_map = @alias_map = {}
3740   type_map = @type_map = {}
3741   after_load_map = @after_load_map = {}
3742   reflection_map.each do |k, v|
3743     alias_map[k] = v[:name]
3744     after_load_map[k] = v[:after_load] if v[:after_load]
3745     type_map[k] = if v.returns_array?
3746       true
3747     elsif (limit_and_offset = limit_map[k]) && !limit_and_offset.last.nil?
3748       :offset
3749     end
3750   end
3751   after_load_map.freeze
3752   alias_map.freeze
3753   type_map.freeze
3754 
3755   # Make dependency map hash out of requirements array for each association.
3756   # This builds a tree of dependencies that will be used for recursion
3757   # to ensure that all parts of the object graph are loaded into the
3758   # appropriate subordinate association.
3759   dependency_map = @dependency_map = {}
3760   # Sort the associations by requirements length, so that
3761   # requirements are added to the dependency hash before their
3762   # dependencies.
3763   requirements.sort_by{|a| a[1].length}.each do |ta, deps|
3764     if deps.empty?
3765       dependency_map[ta] = {}
3766     else
3767       deps = deps.dup
3768       hash = dependency_map[deps.shift]
3769       deps.each do |dep|
3770         hash = hash[dep]
3771       end
3772       hash[ta] = {}
3773     end
3774   end
3775   freezer = lambda do |h|
3776     h.freeze
3777     h.each_value(&freezer)
3778   end
3779   freezer.call(dependency_map)
3780       
3781   datasets = opts[:graph][:table_aliases].to_a.reject{|ta,ds| ds.nil?}
3782   column_aliases = opts[:graph][:column_aliases]
3783   primary_keys = {}
3784   column_maps = {}
3785   models = {}
3786   row_procs = {}
3787   datasets.each do |ta, ds|
3788     models[ta] = ds.model
3789     primary_keys[ta] = []
3790     column_maps[ta] = {}
3791     row_procs[ta] = ds.row_proc
3792   end
3793   column_aliases.each do |col_alias, tc|
3794     ta, column = tc
3795     column_maps[ta][col_alias] = column
3796   end
3797   column_maps.each do |ta, h|
3798     pk = models[ta].primary_key
3799     if pk.is_a?(Array)
3800       primary_keys[ta] = []
3801       h.select{|ca, c| primary_keys[ta] << ca if pk.include?(c)}
3802     else
3803       h.select{|ca, c| primary_keys[ta] = ca if pk == c}
3804     end
3805   end
3806   @column_maps = column_maps.freeze
3807   @primary_keys = primary_keys.freeze
3808   @row_procs = row_procs.freeze
3809 
3810   # For performance, create two special maps for the master table,
3811   # so you can skip a hash lookup.
3812   @master_column_map = column_maps[master]
3813   @master_primary_keys = primary_keys[master]
3814 
3815   # Add a special hash mapping table alias symbols to 5 element arrays that just
3816   # contain the data in other data structures for that table alias.  This is
3817   # used for performance, to get all values in one hash lookup instead of
3818   # separate hash lookups for each data structure.
3819   ta_map = {}
3820   alias_map.each_key do |ta|
3821     ta_map[ta] = [row_procs[ta], alias_map[ta], type_map[ta], reciprocal_map[ta]].freeze
3822   end
3823   @ta_map = ta_map.freeze
3824   freeze
3825 end

Public Instance methods

load(hashes)

Return an array of primary model instances with the associations cache prepopulated for all model objects (both primary and associated).

[show source]
     # File lib/sequel/model/associations.rb
3829 def load(hashes)
3830   # This mapping is used to make sure that duplicate entries in the
3831   # result set are mapped to a single record.  For example, using a
3832   # single one_to_many association with 10 associated records,
3833   # the main object column values appear in the object graph 10 times.
3834   # We map by primary key, if available, or by the object's entire values,
3835   # if not. The mapping must be per table, so create sub maps for each table
3836   # alias.
3837   @records_map = records_map = {}
3838   alias_map.keys.each{|ta| records_map[ta] = {}}
3839 
3840   master = master()
3841       
3842   # Assign to local variables for speed increase
3843   rp = row_procs[master]
3844   rm = records_map[master] = {}
3845   dm = dependency_map
3846 
3847   records_map.freeze
3848 
3849   # This will hold the final record set that we will be replacing the object graph with.
3850   records = []
3851 
3852   hashes.each do |h|
3853     unless key = master_pk(h)
3854       key = hkey(master_hfor(h))
3855     end
3856     unless primary_record = rm[key]
3857       primary_record = rm[key] = rp.call(master_hfor(h))
3858       # Only add it to the list of records to return if it is a new record
3859       records.push(primary_record)
3860     end
3861     # Build all associations for the current object and it's dependencies
3862     _load(dm, primary_record, h)
3863   end
3864       
3865   # Remove duplicate records from all associations if this graph could possibly be a cartesian product
3866   # Run after_load procs if there are any
3867   post_process(records, dm) if @unique || !after_load_map.empty? || !limit_map.empty?
3868 
3869   records_map.each_value(&:freeze)
3870   freeze
3871 
3872   records
3873 end