It is possible to create an index for searching using SearchVector, but However, Japanese words are not separated by spaces, and the full-text search does not work properly. How can I perform full-text search in Japanese (multi-byte character strings)?
I thought about implementing a search engine such as ElasticSearch, but other problems came up. If possible, I would like to do FTS with Postgres.
# models.py
class Post(models.Model):
title = models.CharField(max_length=300)
search = SearchVectorField(null=True)
class Meta:
indexes = [GinIndex(fields=["search"])]
# update search column
Post.objects.update(search=SearchVector('title'))
CodePudding user response:
Look at the Pgroonga Postgres extension for fulltext search in all languages. It is used by the Zulip project with amazing results.