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It was specially designed to integrate well with SQL databases storing the data, and to be easily accessed by scripting languages.
However, Manticore does not depend on nor require any specific database to function.
In last case avoid to use automatic tarballs from github (named there as ‘Source code’), but use provided files as SELECT id FROM test1 WHERE MATCH('is this a good plan?
'); SHOW PLAN\G Empty set (0.00 sec) *************************** 1.
This is similar to SQL, where each row would correspond to a document, and each column to either a field or an attribute.
Depending on what source Manticore should get the data from, different code is required to fetch the data and prepare it for indexing. At the time of this writing, there are built-in drivers for My SQL, Postgre SQL, MS SQL (on Windows), and ODBC.
API is very lightweight so porting it to a new language is known to take a few hours or days.
Third party API ports and plugins exist for Perl, C#, Haskell, Ruby-on-Rails, and possibly other languages and frameworks.
Disk indexes support online full-text index rebuilds, but online updates can only be done on non-text (attribute) data.Default configuration includes a simple Real-Time index and listen on the default ports ( 9306 for Sphinx QL and 9312 for Sphinx API).The image comes with My SQL and Postgre SQL client libraries for indexing data from these databases.For more information about using Docker, see the Docker Docs.
The searchd daemon runs in nodetach mode inside the container.RT indexes additionally allow for online full-text index updates.Data can be loaded into disk indexes using a so-called data source.row *************************** Variable: transformed_tree Value: AND( AND(KEYWORD(is, querypos=1)), AND(KEYWORD(this, querypos=2)), AND(KEYWORD(a, querypos=3)), AND(KEYWORD(good, querypos=4)), AND(KEYWORD(plan, querypos=5))) 1 row in set (0.00 sec) The data to be indexed can generally come from very different sources: SQL databases, plain text files, HTML files, mailboxes, and so on.