Reader small image

You're reading from  Graph Data Processing with Cypher

Product typeBook
Published inDec 2022
PublisherPackt
ISBN-139781804611074
Edition1st Edition
Concepts
Right arrow
Author (1)
Ravindranatha Anthapu
Ravindranatha Anthapu
author image
Ravindranatha Anthapu

Ravindranatha Anthapu has more than 25 years of experience in working with W3C standards or building cutting-edge technologies like integrating speech with mobile applications in the 2000s. He is a technology enthusiast who worked from operating system device drivers to writing compilers for C language to modern web technologies, transitioning seamlessly and bringing experience from each of these domains and technologies to deliver successful solutions today. As a Principal Consultant at Neo4j today, Ravindranatha works with large enterprise customers to make sure they are able to leverage graph technologies effectively across various domains.
Read more about Ravindranatha Anthapu

Right arrow

Filtering with node labels and relationship types

In Cypher, filtering starts with the usage of node labels and relationship types. Let us take a look at a query where we do not apply any filters in Cypher:

MATCH p=()—-() RETURN p

This query returns all paths where any nodes are connected. In this query, there is no filtering. This query is shown to illustrate the fact that filtering is a bit different from SQL queries. Now, let us take a look at this query:

MATCH p=()—->() RETURN p

In this query, we are not using any node labels or relationship types, but we are filtering on relationships by outgoing direction:

MATCH p=(:Patient)—->() RETURN p

When we look at this query, we are looking for Patient nodes first and traversing all the outgoing relationships to find the paths. This showcases how node labels are leveraged for filtering:

MATCH p=(:Patient)-[:HAS_ZIPCODE]->() RETURN p

This query applies one more filter to the previous...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Graph Data Processing with Cypher
Published in: Dec 2022Publisher: PacktISBN-13: 9781804611074

Author (1)

author image
Ravindranatha Anthapu

Ravindranatha Anthapu has more than 25 years of experience in working with W3C standards or building cutting-edge technologies like integrating speech with mobile applications in the 2000s. He is a technology enthusiast who worked from operating system device drivers to writing compilers for C language to modern web technologies, transitioning seamlessly and bringing experience from each of these domains and technologies to deliver successful solutions today. As a Principal Consultant at Neo4j today, Ravindranatha works with large enterprise customers to make sure they are able to leverage graph technologies effectively across various domains.
Read more about Ravindranatha Anthapu