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You're reading from  Graph Data Processing with Cypher

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Published inDec 2022
PublisherPackt
ISBN-139781804611074
Edition1st Edition
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Ravindranatha Anthapu
Ravindranatha Anthapu
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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

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Querying the paths

A path here consists of an anchor node or starting node and traverses one or more hops in any direction from it. In the earlier section, we worked with the Patient node to showcase how to query nodes. Here, let us start from the Patient node and what it is connected to at one hop.

Our Cypher query can look as follows:

MATCH path=
   (:Patient {id:'7361ce15-cf67-ae76-88e6-bcbdca19ce0b'})-->()
RETURN path

This returns all the paths in one hop in the outgoing direction from the Patient node:

Figure 4.20 – All paths one hop from a patient

Here, we can see one Race node, one Ethnicity node, and 60 Encounter nodes. Say that we want to find out the race demographics of our patients where we can use paths to get these values. The Cypher query for it will look as follows:

MATCH (r:Race)
RETURN r.type as type, size((r)<-[:HAS_RACE]-()) as count

This query retrieves all the Race nodes and returns...

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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