Full Text Search
HiveSQL has several Full-Text Search (FTS) indexes, which speed up queries in an impressive way. They allow fast retrieval of information about comments and transfers
The following tables have been full-text search enabled:
There are 3 columns with Full-Text Search indexes: 1.
Query example Let say I want to know if anyone mentioned the user "@arcange" in a post or comment, the following simple query will do the trick
author, title, body, url
author <> 'arcange'
AND CONTAINS(body, 'arcange')
It's the catch-all column, where developers can freely store any information about comments and their apps. As more and more information is stored by various projects into this column, then comes more and more queries trying to extract data from it.
Queries issued against this column are often a source of a major slowdown on the whole infrastructure because people have the bad habits to use the LIKE operator or SQL’s native JSON parsing functions, which are not the best at performances, especially on huge tables.
With the FTS index on the
json_metadatacolumn, instead of writing a query like
json_metadata like '%peakd%'
one can write
The first query will take dozens of minutes to complete whereas the last one will complete in less than 2 seconds!
This will allow you to use the CONTAINS() and FREETEXT() predicate functions to find transfers containing a specific string in their memo.