How is full text search with dgraph ? Trying to see if it can replace solr in following hypothetical scenario.
mysql and solr for search. data is duplicated and about 40 million news. adding two million news articles every day
each news has tags (location, type (crime, entertainment etc), keywords (buried in description - where we use solr for search )
How is full text search capability of solr ? how many languages we can tokenise ?
will it be better if full text search is not used and insted we find out keywords from text field and create edges for the keywords ? ( example location , technology ( java, golang etc ) can be created as edges ( has_java, has_go etc ). will that be faster to search ? possibly i would like to search all news articles from hongkong (location_hongkong) and has_go edge. will that be faster than creating full text search ?
how will you advise to model this schema ?