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[redminele/redminele.git] / ruby / lib / ruby / gems / 1.8 / gems / activerecord-2.3.5 / lib / active_record / calculations.rb
1 module ActiveRecord
2   module Calculations #:nodoc:
3     CALCULATIONS_OPTIONS = [:conditions, :joins, :order, :select, :group, :having, :distinct, :limit, :offset, :include, :from]
4     def self.included(base)
5       base.extend(ClassMethods)
6     end
7
8     module ClassMethods
9       # Count operates using three different approaches.
10       #
11       # * Count all: By not passing any parameters to count, it will return a count of all the rows for the model.
12       # * Count using column: By passing a column name to count, it will return a count of all the rows for the model with supplied column present
13       # * Count using options will find the row count matched by the options used.
14       #
15       # The third approach, count using options, accepts an option hash as the only parameter. The options are:
16       #
17       # * <tt>:conditions</tt>: An SQL fragment like "administrator = 1" or [ "user_name = ?", username ]. See conditions in the intro to ActiveRecord::Base.
18       # * <tt>:joins</tt>: Either an SQL fragment for additional joins like "LEFT JOIN comments ON comments.post_id = id" (rarely needed)
19       #   or named associations in the same form used for the <tt>:include</tt> option, which will perform an INNER JOIN on the associated table(s).
20       #   If the value is a string, then the records will be returned read-only since they will have attributes that do not correspond to the table's columns.
21       #   Pass <tt>:readonly => false</tt> to override.
22       # * <tt>:include</tt>: Named associations that should be loaded alongside using LEFT OUTER JOINs. The symbols named refer
23       #   to already defined associations. When using named associations, count returns the number of DISTINCT items for the model you're counting.
24       #   See eager loading under Associations.
25       # * <tt>:order</tt>: An SQL fragment like "created_at DESC, name" (really only used with GROUP BY calculations).
26       # * <tt>:group</tt>: An attribute name by which the result should be grouped. Uses the GROUP BY SQL-clause.
27       # * <tt>:select</tt>: By default, this is * as in SELECT * FROM, but can be changed if you, for example, want to do a join but not
28       #   include the joined columns.
29       # * <tt>:distinct</tt>: Set this to true to make this a distinct calculation, such as SELECT COUNT(DISTINCT posts.id) ...
30       # * <tt>:from</tt> - By default, this is the table name of the class, but can be changed to an alternate table name (or even the name
31       #   of a database view).
32       #
33       # Examples for counting all:
34       #   Person.count         # returns the total count of all people
35       #
36       # Examples for counting by column:
37       #   Person.count(:age)  # returns the total count of all people whose age is present in database
38       #
39       # Examples for count with options:
40       #   Person.count(:conditions => "age > 26")
41       #   Person.count(:conditions => "age > 26 AND job.salary > 60000", :include => :job) # because of the named association, it finds the DISTINCT count using LEFT OUTER JOIN.
42       #   Person.count(:conditions => "age > 26 AND job.salary > 60000", :joins => "LEFT JOIN jobs on jobs.person_id = person.id") # finds the number of rows matching the conditions and joins.
43       #   Person.count('id', :conditions => "age > 26") # Performs a COUNT(id)
44       #   Person.count(:all, :conditions => "age > 26") # Performs a COUNT(*) (:all is an alias for '*')
45       #
46       # Note: <tt>Person.count(:all)</tt> will not work because it will use <tt>:all</tt> as the condition.  Use Person.count instead.
47       def count(*args)
48         calculate(:count, *construct_count_options_from_args(*args))
49       end
50
51       # Calculates the average value on a given column. The value is returned as
52       # a float, or +nil+ if there's no row. See +calculate+ for examples with
53       # options.
54       #
55       #   Person.average('age') # => 35.8
56       def average(column_name, options = {})
57         calculate(:avg, column_name, options)
58       end
59
60       # Calculates the minimum value on a given column.  The value is returned
61       # with the same data type of the column, or +nil+ if there's no row. See
62       # +calculate+ for examples with options.
63       #
64       #   Person.minimum('age') # => 7
65       def minimum(column_name, options = {})
66         calculate(:min, column_name, options)
67       end
68
69       # Calculates the maximum value on a given column. The value is returned
70       # with the same data type of the column, or +nil+ if there's no row. See
71       # +calculate+ for examples with options.
72       #
73       #   Person.maximum('age') # => 93
74       def maximum(column_name, options = {})
75         calculate(:max, column_name, options)
76       end
77
78       # Calculates the sum of values on a given column. The value is returned
79       # with the same data type of the column, 0 if there's no row. See
80       # +calculate+ for examples with options.
81       #
82       #   Person.sum('age') # => 4562
83       def sum(column_name, options = {})
84         calculate(:sum, column_name, options)
85       end
86
87       # This calculates aggregate values in the given column.  Methods for count, sum, average, minimum, and maximum have been added as shortcuts.
88       # Options such as <tt>:conditions</tt>, <tt>:order</tt>, <tt>:group</tt>, <tt>:having</tt>, and <tt>:joins</tt> can be passed to customize the query.
89       #
90       # There are two basic forms of output:
91       #   * Single aggregate value: The single value is type cast to Fixnum for COUNT, Float for AVG, and the given column's type for everything else.
92       #   * Grouped values: This returns an ordered hash of the values and groups them by the <tt>:group</tt> option.  It takes either a column name, or the name
93       #     of a belongs_to association.
94       #
95       #       values = Person.maximum(:age, :group => 'last_name')
96       #       puts values["Drake"]
97       #       => 43
98       #
99       #       drake  = Family.find_by_last_name('Drake')
100       #       values = Person.maximum(:age, :group => :family) # Person belongs_to :family
101       #       puts values[drake]
102       #       => 43
103       #
104       #       values.each do |family, max_age|
105       #       ...
106       #       end
107       #
108       # Options:
109       # * <tt>:conditions</tt> - An SQL fragment like "administrator = 1" or [ "user_name = ?", username ]. See conditions in the intro to ActiveRecord::Base.
110       # * <tt>:include</tt>: Eager loading, see Associations for details.  Since calculations don't load anything, the purpose of this is to access fields on joined tables in your conditions, order, or group clauses.
111       # * <tt>:joins</tt> - An SQL fragment for additional joins like "LEFT JOIN comments ON comments.post_id = id". (Rarely needed).
112       #   The records will be returned read-only since they will have attributes that do not correspond to the table's columns.
113       # * <tt>:order</tt> - An SQL fragment like "created_at DESC, name" (really only used with GROUP BY calculations).
114       # * <tt>:group</tt> - An attribute name by which the result should be grouped. Uses the GROUP BY SQL-clause.
115       # * <tt>:select</tt> - By default, this is * as in SELECT * FROM, but can be changed if you for example want to do a join, but not
116       #   include the joined columns.
117       # * <tt>:distinct</tt> - Set this to true to make this a distinct calculation, such as SELECT COUNT(DISTINCT posts.id) ...
118       #
119       # Examples:
120       #   Person.calculate(:count, :all) # The same as Person.count
121       #   Person.average(:age) # SELECT AVG(age) FROM people...
122       #   Person.minimum(:age, :conditions => ['last_name != ?', 'Drake']) # Selects the minimum age for everyone with a last name other than 'Drake'
123       #   Person.minimum(:age, :having => 'min(age) > 17', :group => :last_name) # Selects the minimum age for any family without any minors
124       #   Person.sum("2 * age")
125       def calculate(operation, column_name, options = {})
126         validate_calculation_options(operation, options)
127         column_name     = options[:select] if options[:select]
128         column_name     = '*' if column_name == :all
129         column          = column_for column_name
130         catch :invalid_query do
131           if options[:group]
132             return execute_grouped_calculation(operation, column_name, column, options)
133           else
134             return execute_simple_calculation(operation, column_name, column, options)
135           end
136         end
137         0
138       end
139
140       protected
141         def construct_count_options_from_args(*args)
142           options     = {}
143           column_name = :all
144           
145           # We need to handle
146           #   count()
147           #   count(:column_name=:all)
148           #   count(options={})
149           #   count(column_name=:all, options={})
150           case args.size
151           when 1
152             args[0].is_a?(Hash) ? options = args[0] : column_name = args[0]
153           when 2
154             column_name, options = args
155           else
156             raise ArgumentError, "Unexpected parameters passed to count(): #{args.inspect}"
157           end if args.size > 0
158           
159           [column_name, options]
160         end
161
162         def construct_calculation_sql(operation, column_name, options) #:nodoc:
163           operation = operation.to_s.downcase
164           options = options.symbolize_keys
165
166           scope           = scope(:find)
167           merged_includes = merge_includes(scope ? scope[:include] : [], options[:include])
168           aggregate_alias = column_alias_for(operation, column_name)
169           column_name     = "#{connection.quote_table_name(table_name)}.#{column_name}" if column_names.include?(column_name.to_s)
170
171           if operation == 'count'
172             if merged_includes.any?
173               options[:distinct] = true
174               column_name = options[:select] || [connection.quote_table_name(table_name), primary_key] * '.'
175             end
176
177             if options[:distinct]
178               use_workaround = !connection.supports_count_distinct?
179             end
180           end
181
182           if options[:distinct] && column_name.to_s !~ /\s*DISTINCT\s+/i
183             distinct = 'DISTINCT ' 
184           end
185           sql = "SELECT #{operation}(#{distinct}#{column_name}) AS #{aggregate_alias}"
186
187           # A (slower) workaround if we're using a backend, like sqlite, that doesn't support COUNT DISTINCT.
188           sql = "SELECT COUNT(*) AS #{aggregate_alias}" if use_workaround
189
190           sql << ", #{options[:group_field]} AS #{options[:group_alias]}" if options[:group]
191           if options[:from]
192             sql << " FROM #{options[:from]} "
193           elsif scope && scope[:from] && !use_workaround
194             sql << " FROM #{scope[:from]} "
195           else
196             sql << " FROM (SELECT #{distinct}#{column_name}" if use_workaround
197             sql << " FROM #{connection.quote_table_name(table_name)} "
198           end
199
200           joins = ""
201           add_joins!(joins, options[:joins], scope)
202
203           if merged_includes.any?
204             join_dependency = ActiveRecord::Associations::ClassMethods::JoinDependency.new(self, merged_includes, joins)
205             sql << join_dependency.join_associations.collect{|join| join.association_join }.join
206           end
207
208           sql << joins unless joins.blank?
209
210           add_conditions!(sql, options[:conditions], scope)
211           add_limited_ids_condition!(sql, options, join_dependency) if join_dependency && !using_limitable_reflections?(join_dependency.reflections) && ((scope && scope[:limit]) || options[:limit])
212
213           if options[:group]
214             group_key = connection.adapter_name == 'FrontBase' ?  :group_alias : :group_field
215             sql << " GROUP BY #{options[group_key]} "
216           end
217
218           if options[:group] && options[:having]
219             having = sanitize_sql_for_conditions(options[:having])
220
221             # FrontBase requires identifiers in the HAVING clause and chokes on function calls
222             if connection.adapter_name == 'FrontBase'
223               having.downcase!
224               having.gsub!(/#{operation}\s*\(\s*#{column_name}\s*\)/, aggregate_alias)
225             end
226
227             sql << " HAVING #{having} "
228           end
229
230           sql << " ORDER BY #{options[:order]} "       if options[:order]
231           add_limit!(sql, options, scope)
232           sql << ") #{aggregate_alias}_subquery" if use_workaround
233           sql
234         end
235
236         def execute_simple_calculation(operation, column_name, column, options) #:nodoc:
237           value = connection.select_value(construct_calculation_sql(operation, column_name, options))
238           type_cast_calculated_value(value, column, operation)
239         end
240
241         def execute_grouped_calculation(operation, column_name, column, options) #:nodoc:
242           group_attr      = options[:group].to_s
243           association     = reflect_on_association(group_attr.to_sym)
244           associated      = association && association.macro == :belongs_to # only count belongs_to associations
245           group_field     = associated ? association.primary_key_name : group_attr
246           group_alias     = column_alias_for(group_field)
247           group_column    = column_for group_field
248           sql             = construct_calculation_sql(operation, column_name, options.merge(:group_field => group_field, :group_alias => group_alias))
249           calculated_data = connection.select_all(sql)
250           aggregate_alias = column_alias_for(operation, column_name)
251
252           if association
253             key_ids     = calculated_data.collect { |row| row[group_alias] }
254             key_records = association.klass.base_class.find(key_ids)
255             key_records = key_records.inject({}) { |hsh, r| hsh.merge(r.id => r) }
256           end
257
258           calculated_data.inject(ActiveSupport::OrderedHash.new) do |all, row|
259             key   = type_cast_calculated_value(row[group_alias], group_column)
260             key   = key_records[key] if associated
261             value = row[aggregate_alias]
262             all[key] = type_cast_calculated_value(value, column, operation)
263             all
264           end
265         end
266
267       private
268         def validate_calculation_options(operation, options = {})
269           options.assert_valid_keys(CALCULATIONS_OPTIONS)
270         end
271
272         # Converts the given keys to the value that the database adapter returns as
273         # a usable column name:
274         #
275         #   column_alias_for("users.id")                 # => "users_id"
276         #   column_alias_for("sum(id)")                  # => "sum_id"
277         #   column_alias_for("count(distinct users.id)") # => "count_distinct_users_id"
278         #   column_alias_for("count(*)")                 # => "count_all"
279         #   column_alias_for("count", "id")              # => "count_id"
280         def column_alias_for(*keys)
281           table_name = keys.join(' ')
282           table_name.downcase!
283           table_name.gsub!(/\*/, 'all')
284           table_name.gsub!(/\W+/, ' ')
285           table_name.strip!
286           table_name.gsub!(/ +/, '_')
287
288           connection.table_alias_for(table_name)
289         end
290
291         def column_for(field)
292           field_name = field.to_s.split('.').last
293           columns.detect { |c| c.name.to_s == field_name }
294         end
295
296         def type_cast_calculated_value(value, column, operation = nil)
297           operation = operation.to_s.downcase
298           case operation
299             when 'count' then value.to_i
300             when 'sum'   then type_cast_using_column(value || '0', column)
301             when 'avg'   then value && (value.is_a?(Fixnum) ? value.to_f : value).to_d
302             else type_cast_using_column(value, column)
303           end
304         end
305
306         def type_cast_using_column(value, column)
307           column ? column.type_cast(value) : value
308         end
309     end
310   end
311 end