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
3967 def initialize(dataset)
3968   opts = dataset.opts
3969   eager_graph = opts[:eager_graph]
3970   @master =  eager_graph[:master]
3971   requirements = eager_graph[:requirements]
3972   reflection_map = @reflection_map = eager_graph[:reflections]
3973   reciprocal_map = @reciprocal_map = eager_graph[:reciprocals]
3974   limit_map = @limit_map = eager_graph[:limits]
3975   @unique = eager_graph[:cartesian_product_number] > 1
3976       
3977   alias_map = @alias_map = {}
3978   type_map = @type_map = {}
3979   after_load_map = @after_load_map = {}
3980   reflection_map.each do |k, v|
3981     alias_map[k] = v[:name]
3982     after_load_map[k] = v[:after_load] if v[:after_load]
3983     type_map[k] = if v.returns_array?
3984       true
3985     elsif (limit_and_offset = limit_map[k]) && !limit_and_offset.last.nil?
3986       :offset
3987     end
3988   end
3989   after_load_map.freeze
3990   alias_map.freeze
3991   type_map.freeze
3992 
3993   # Make dependency map hash out of requirements array for each association.
3994   # This builds a tree of dependencies that will be used for recursion
3995   # to ensure that all parts of the object graph are loaded into the
3996   # appropriate subordinate association.
3997   dependency_map = @dependency_map = {}
3998   # Sort the associations by requirements length, so that
3999   # requirements are added to the dependency hash before their
4000   # dependencies.
4001   requirements.sort_by{|a| a[1].length}.each do |ta, deps|
4002     if deps.empty?
4003       dependency_map[ta] = {}
4004     else
4005       deps = deps.dup
4006       hash = dependency_map[deps.shift]
4007       deps.each do |dep|
4008         hash = hash[dep]
4009       end
4010       hash[ta] = {}
4011     end
4012   end
4013   freezer = lambda do |h|
4014     h.freeze
4015     h.each_value(&freezer)
4016   end
4017   freezer.call(dependency_map)
4018       
4019   datasets = opts[:graph][:table_aliases].to_a.reject{|ta,ds| ds.nil?}
4020   column_aliases = opts[:graph][:column_aliases]
4021   primary_keys = {}
4022   column_maps = {}
4023   models = {}
4024   row_procs = {}
4025   datasets.each do |ta, ds|
4026     models[ta] = ds.model
4027     primary_keys[ta] = []
4028     column_maps[ta] = {}
4029     row_procs[ta] = ds.row_proc
4030   end
4031   column_aliases.each do |col_alias, tc|
4032     ta, column = tc
4033     column_maps[ta][col_alias] = column
4034   end
4035   column_maps.each do |ta, h|
4036     pk = models[ta].primary_key
4037     if pk.is_a?(Array)
4038       primary_keys[ta] = []
4039       h.select{|ca, c| primary_keys[ta] << ca if pk.include?(c)}
4040     else
4041       h.select{|ca, c| primary_keys[ta] = ca if pk == c}
4042     end
4043   end
4044   @column_maps = column_maps.freeze
4045   @primary_keys = primary_keys.freeze
4046   @row_procs = row_procs.freeze
4047 
4048   # For performance, create two special maps for the master table,
4049   # so you can skip a hash lookup.
4050   @master_column_map = column_maps[master]
4051   @master_primary_keys = primary_keys[master]
4052 
4053   # Add a special hash mapping table alias symbols to 5 element arrays that just
4054   # contain the data in other data structures for that table alias.  This is
4055   # used for performance, to get all values in one hash lookup instead of
4056   # separate hash lookups for each data structure.
4057   ta_map = {}
4058   alias_map.each_key do |ta|
4059     ta_map[ta] = [row_procs[ta], alias_map[ta], type_map[ta], reciprocal_map[ta]].freeze
4060   end
4061   @ta_map = ta_map.freeze
4062   freeze
4063 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
4067 def load(hashes)
4068   # This mapping is used to make sure that duplicate entries in the
4069   # result set are mapped to a single record.  For example, using a
4070   # single one_to_many association with 10 associated records,
4071   # the main object column values appear in the object graph 10 times.
4072   # We map by primary key, if available, or by the object's entire values,
4073   # if not. The mapping must be per table, so create sub maps for each table
4074   # alias.
4075   @records_map = records_map = {}
4076   alias_map.keys.each{|ta| records_map[ta] = {}}
4077 
4078   master = master()
4079       
4080   # Assign to local variables for speed increase
4081   rp = row_procs[master]
4082   rm = records_map[master] = {}
4083   dm = dependency_map
4084 
4085   records_map.freeze
4086 
4087   # This will hold the final record set that we will be replacing the object graph with.
4088   records = []
4089 
4090   hashes.each do |h|
4091     unless key = master_pk(h)
4092       key = hkey(master_hfor(h))
4093     end
4094     unless primary_record = rm[key]
4095       primary_record = rm[key] = rp.call(master_hfor(h))
4096       # Only add it to the list of records to return if it is a new record
4097       records.push(primary_record)
4098     end
4099     # Build all associations for the current object and it's dependencies
4100     _load(dm, primary_record, h)
4101   end
4102       
4103   # Remove duplicate records from all associations if this graph could possibly be a cartesian product
4104   # Run after_load procs if there are any
4105   post_process(records, dm) if @unique || !after_load_map.empty? || !limit_map.empty?
4106 
4107   records_map.each_value(&:freeze)
4108   freeze
4109 
4110   records
4111 end