Docs: Add links to the equivalent aggs in facets documentation.

docs/reference/search/facets/date-histogram-facet.asciidoc

@@ -3,6 +3,10 @@
 
 include::deprecated.asciidoc[]
 
+NOTE: The equivalent aggregation would be the
+<<search-aggregations-bucket-datehistogram-aggregation,`date_histogram`>>
+aggregation.
+
 A specific histogram facet that can work with `date` field types
 enhancing it over the regular
 <<search-facets-histogram-facet,histogram

docs/reference/search/facets/filter-facet.asciidoc

@@ -3,6 +3,10 @@
 
 include::deprecated.asciidoc[]
 
+NOTE: The equivalent aggregation would be the
+<<search-aggregations-bucket-filter-aggregation,`filter`>>
+aggregation.
+
 A filter facet (not to be confused with a
 <<search-facets,facet filter>>) allows you to
 return a count of the hits matching the filter. The filter itself can be

docs/reference/search/facets/geo-distance-facet.asciidoc

@@ -3,6 +3,10 @@
 
 include::deprecated.asciidoc[]
 
+NOTE: The equivalent aggregation would be the
+<<search-aggregations-bucket-geodistance-aggregation,`geo_distance`>>
+aggregation.
+
 The geo_distance facet is a facet providing information for ranges of
 distances from a provided geo_point including count of the number of
 hits that fall within each range, and aggregation information (like

docs/reference/search/facets/histogram-facet.asciidoc

@@ -3,6 +3,10 @@
 
 include::deprecated.asciidoc[]
 
+NOTE: The equivalent aggregation would be the
+<<search-aggregations-bucket-histogram-aggregation,`histogram`>>
+aggregation.
+
 The histogram facet works with numeric data by building a histogram
 across intervals of the field values. Each value is "rounded" into an
 interval (or placed in a bucket), and statistics are provided per

docs/reference/search/facets/query-facet.asciidoc

@@ -3,6 +3,10 @@
 
 include::deprecated.asciidoc[]
 
+NOTE: There is no equivalent aggregation but you can use the
+<<search-aggregations-bucket-filter-aggregation,`filter`>> aggregation and wrap
+the query inside a <<query-dsl-query-filter,query filter>>.
+
 A facet query allows to return a count of the hits matching the facet
 query. The query itself can be expressed using the Query DSL. For
 example:

docs/reference/search/facets/range-facet.asciidoc

@@ -3,6 +3,10 @@
 
 include::deprecated.asciidoc[]
 
+NOTE: The equivalent aggregation would be the
+<<search-aggregations-bucket-range-aggregation,`range`>>
+aggregation.
+
 `range` facet allows to specify a set of ranges and get both the number
 of docs (count) that fall within each range, and aggregated data either
 based on the field, or using another field. Here is a simple example:

docs/reference/search/facets/statistical-facet.asciidoc

@@ -3,6 +3,10 @@
 
 include::deprecated.asciidoc[]
 
+NOTE: The equivalent aggregation would be the
+<<search-aggregations-metrics-stats-aggregation,`stats`>>
+aggregation.
+
 Statistical facet allows to compute statistical data on a numeric
 fields. The statistical data include count, total, sum of squares, mean
 (average), minimum, maximum, variance, and standard deviation. Here is

docs/reference/search/facets/terms-facet.asciidoc

@@ -3,6 +3,10 @@
 
 include::deprecated.asciidoc[]
 
+NOTE: The equivalent aggregation would be the
+<<search-aggregations-bucket-terms-aggregation,`terms`>>
+aggregation.
+
 Allow to specify field facets that return the N most frequent terms. For
 example:
 

docs/reference/search/facets/terms-stats-facet.asciidoc

@@ -3,6 +3,12 @@
 
 include::deprecated.asciidoc[]
 
+NOTE: The equivalent aggregation would be the
+<<search-aggregations-bucket-terms-aggregation,`terms`>>
+aggregation with an inner
+<<search-aggregations-metrics-stats-aggregation,`stats`>>
+aggregation.
+
 The `terms_stats` facet combines both the
 <<search-facets-terms-facet,terms>> and
 <<search-facets-statistical-facet,statistical>>