anchor.diff:  
     A term is an exact value that is indexed in Elasticsearch. The terms
     `foo`, `Foo`, `FOO` are NOT equivalent. Terms (i.e. exact values) can
  -  be searched for using _term_ queries. +
  -   See also <<glossary-text,text>> and <<glossary-analysis,analysis>>.
  +  be searched for using _term_ queries.
  +  +
  +  See also <<glossary-text,text>> and <<glossary-analysis,analysis>>.
   
   [[glossary-text]] text ::
   
  
positive.code:   `object`. The mapping also allows you to define (amongst other things)
    how the value for a field should be analyzed.
  
  [[glossary-index]] index ::
  
    An index is like a _table_ in a relational database. It has a
  
negative.code:   index is created.
    +
    See also <<glossary-routing,routing>>
  
  [[glossary-query]] query ::
  
    A query is the basic component of a search. A search can be defined by one or more queries 
    which can be mixed and matched in endless combinations. While <<glossary-filter,filters>> are
    queries that only determine if a document matches, those queries that also calculate how well
    the document matches are known as "scoring queries". Those queries assign it a score, which is 
    later used to sort matched documents. Scoring queries take more resources than <<glossary-filter,non scoring queries>> 
    and their query results are not cacheable. As a general rule, use query clauses for full-text 
    search or for any condition that requires scoring, and use filters for everything else.
  
   [[glossary-replica-shard]] replica shard ::
  
  