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How to query Graph data in Redis using Python

Ajeet Raina
Author
Ajeet Raina, Former Developer Growth Manager at Redis

RedisGraph is the fastest graph database that processes complex graph operations in real time, 10x – 600x faster than any other graph database. Show how your data is connected through multiple visualization integrations including RedisInsight, Linkurious, and Graphileon. Query graphs using the industry-standard Cypher query language and easily use graph capabilities from application code.

RedisGraph Python Client#

The 'redisgraph-py' is a package that allows querying Graph data in a Redis database that is extended with the RedisGraph module. The package extends redisgraph-py's interface with RedisGraph's API

Follow the steps below to get started with RedisGraph with Python:

Step 1. Run Redis Stack Docker container#

 docker run -p 6379:6379 --name redis/redis-stack

Step 2. Verify if RedisGraph module is loaded#

 info modules
 # Modules
 module:name=graph,ver=20405,api=1,filters=0,usedby=[],using=[],options=[]

Step 3. Loading the Python Module#

 pip install redisgraph

Step 4. Write a python code#

 import redis
 from redisgraph import Node, Edge, Graph, Path

 r = redis.Redis(host='localhost', port=6379)

 redis_graph = Graph('social', r)

 john = Node(label='person', properties={'name': 'John Doe', 'age': 33, 'gender': 'male', 'status': 'single'})
 redis_graph.add_node(john)

 japan = Node(label='country', properties={'name': 'Japan'})
 redis_graph.add_node(japan)

 edge = Edge(john, 'visited', japan, properties={'purpose': 'pleasure'})
 redis_graph.add_edge(edge)

 redis_graph.commit()

 query = """MATCH (p:person)-[v:visited {purpose:"pleasure"}]->(c:country)
           RETURN p.name, p.age, v.purpose, c.name"""

 result = redis_graph.query(query)

 # Print resultset
 result.pretty_print()

 # Use parameters
 params = {'purpose':"pleasure"}
 query = """MATCH (p:person)-[v:visited {purpose:$purpose}]->(c:country)
           RETURN p.name, p.age, v.purpose, c.name"""

 result = redis_graph.query(query, params)

 # Print resultset
 result.pretty_print()

 # Use query timeout to raise an exception if the query takes over 10 milliseconds
 result = redis_graph.query(query, params, timeout=10)

 # Iterate through resultset
 for record in result.result_set:
    person_name = record[0]
    person_age = record[1]
    visit_purpose = record[2]
    country_name = record[3]

 query = """MATCH p = (:person)-[:visited {purpose:"pleasure"}]->(:country) RETURN p"""

 result = redis_graph.query(query)

 # Iterate through resultset
 for record in result.result_set:
   path = record[0]
   print(path)


 # All done, remove graph.
 redis_graph.delete()

Step 5. Execute the Python Script#

  python3 test.py
 +-----------+----------+--------------+-----------+
 | b'p.name' | b'p.age' | b'v.purpose' | b'c.name' |
 +-----------+----------+--------------+-----------+
 |  John Doe |    33    |   pleasure   |   Japan   |
 +-----------+----------+--------------+-----------+

 Cached execution 0.0
 internal execution time 3.3023
 +-----------+----------+--------------+-----------+
 | b'p.name' | b'p.age' | b'v.purpose' | b'c.name' |
 +-----------+----------+--------------+-----------+
 |  John Doe |    33    |   pleasure   |   Japan   |
 +-----------+----------+--------------+-----------+

 Cached execution 0.0
 internal execution time 0.2475
 <(0)-[0]->(1)>

Step 6. Monitor the Graph query#

 127.0.0.1:6379> monitor
 OK
 1632661901.024018 [0 172.17.0.1:61908] "GRAPH.QUERY" "social" "CREATE (youkjweasb:person{age:33,gender:\"male\",name:\"John Doe\",status:\"single\"}),(jilbktlmgw:country{name:\"Japan\"}),(youkjweasb:person{age:33,gender:\"male\",name:\"John Doe\",status:\"single\"})-[:visited{purpose:\"pleasure\"}]->(jilbktlmgw:country{name:\"Japan\"})" "--compact"
 1632661901.025810 [0 172.17.0.1:61908] "GRAPH.QUERY" "social" "MATCH (p:person)-[v:visited {purpose:\"pleasure\"}]->(c:country)\n\t\t   RETURN p.name, p.age, v.purpose, c.name" "--compact"
 1632661901.027485 [0 172.17.0.1:61908] "GRAPH.QUERY" "social" "CYPHER purpose=\"pleasure\" MATCH (p:person)-[v:visited {purpose:$purpose}]->(c:country)\n\t\t   RETURN p.name, p.age, v.purpose, c.name" "--compact"
 1632661901.029539 [0 172.17.0.1:61908] "GRAPH.QUERY" "social" "CYPHER purpose=\"pleasure\" MATCH (p:person)-[v:visited {purpose:$purpose}]->(c:country)\n\t\t   RETURN p.name, p.age, v.purpose, c.name" "--compact" "timeout" "10"
 1632661901.030965 [0 172.17.0.1:61908] "GRAPH.QUERY" "social" "MATCH p = (:person)-[:visited {purpose:\"pleasure\"}]->(:country) RETURN p" "--compact"
 1632661901.032250 [0 172.17.0.1:61908] "GRAPH.RO_QUERY" "social" "CALL db.labels()" "--compact"
 1632661901.033323 [0 172.17.0.1:61908] "GRAPH.RO_QUERY" "social" "CALL db.propertyKeys()" "--compact"
 1632661901.034589 [0 172.17.0.1:61908] "GRAPH.RO_QUERY" "social" "CALL db.relationshipTypes()" "--compact"
 1632661901.035625 [0 172.17.0.1:61908] "GRAPH.DELETE" "social"

Let us comment out the last line. Try to query Graph data over over RedisInsight.

Step 7. Install RedisInsight#

Run the RedisInsight container. The easiest way is to run the following command:

 docker run -d -v redisinsight:/db -p 8001:8001 redislabs/redisinsight:latest

Step 8. Accessing RedisInsight#

Next, point your browser to http://localhost:8001.

Step 9. Run the Graph Query#

You can use the limit clause to limit the number of records returned by a query:

MATCH (n) RETURN n LIMIT 1

Step 10. Run the Graph Query with no LIMIT#

MATCH (n) RETURN n

References#

  • •Learn more about RedisGraph in the Quickstart tutorial.
Last updated on Feb 29, 2024
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