• This topic shows how to use text search operators to search database tables and how to create indexes to speed up text searches.
    • Controlling Text Search
      This topic shows how to create search and query vectors, how to rank search results, and how to highlight search terms in the results of text search queries.

    • This topic describes the types of tokens the Greenplum Database text search parser produces from raw text.
    • Text Search Dictionaries
      Tokens produced by the Greenplum Database full text search parser are passed through a chain of dictionaries to produce a normalized term or “lexeme”. Different kinds of dictionaries are available to filter and transform tokens in different ways and for different languages.

    • This topic introduces the Greenplum Database functions you can use to test and debug a search configuration or the individual parser and dictionaries specified in a configuration.
    • GiST and GIN Indexes for Text Search
      This topic describes and compares the Greenplum Database index types that are used for full text searching.

    • This topic lists limitations and maximums for Greenplum Database full text search objects.

    Parent topic: Querying Data