How to use Fulltext index on multiple nodes and multiple node properties?

Fulltext search in Neo4j is supported by means of fulltext schema indexes. Fulltext schema indexes are created, dropped, and updated transactionally, and are automatically replicated throughout a cluster.

Below are two examples to better understand the usage of a Fulltext index using multiple node properties and multiple nodes.

Fulltext Index using multiple node properties:

Let's assume we have Movienode in our database :

As depicted in the screenshot below Movie node has multiple properties having string values i.e. titleandtagline

Now if we want to search for Movies that contain the word comedy in either the title or tagline property. The first operation to do is to create a fulltext search index, with the help of the following procedure :

CREATE FULLTEXT INDEX titlesAndDescriptions FOR (n:Movie) ON EACH [n.title, n.tagline];

In above cypher 'titlesAndDescriptions '  is the name of the index, then `(n:Movie)` is a node label that will be represented as documents in the titlesAndDescriptions index and then `[n.title, n.tagline]`are the list of properties to be replicated as document fields, note that as of now, only text properties are being replicated.

Now that our titlesAndDescriptions index is created, we can query it and test our fulltext search queries. Let’s find all the Movies withcomedyword either in tagline or title:

CALL db.index.fulltext.queryNodes("titlesAndDescriptions", "comedy") YIELD node, score
RETURN node.title,node.tagline, node.description, score

As expected we get 2 results in the output having comedy word either intaglineproperty ortitle:

Fulltext Index using multiple nodes:

In the above example we have created and used fulltext index on multiple node properties. Now in this example we would explore how to create and use fulltext index using multiple nodes.

Let's assume we have one more node Book with property nameso this can be added along with Movie node using pipe  symbol |while creating fulltext index like below:

CREATE FULLTEXT INDEX titlesAndDescriptions FOR (n:Movie|Book) ON EACH [n.title, n.tagline,n.name]

It is worth noting that in the above cypher we are considering Movie, as well as Book Node and index also contains properties from Book Node.

So, if we now try to create a query that searches for comedy text in the Movie and Book nodes then there must be 3 records:

CALL db.index.fulltext.queryNodes("titlesAndDescriptions", "comedy") YIELD node, score
RETURN node.title,node.tagline,node.name, node.description, score

This will return all the Movies and Books with text 'comedy' in their title, tagline or name and output will look like below: