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  1. DZone
  2. Data Engineering
  3. Databases
  4. Neo4j & Cypher: Creating a Time Tree Down to the Day

Neo4j & Cypher: Creating a Time Tree Down to the Day

By 
Mark Needham
·
Apr. 29, 14 · Interview
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Michael recently wrote a blog post showing how to create a time tree representing time down to the second using Neo4j’s Cypher query language, something I built on top of for a side project I’m working on.

The domain I want to model is RSVPs to meetup invites – I want to understand how much in advance people respond and how likely they are to drop out at a later stage.

For this problem I only need to measure time down to the day so my task is a bit easier than Michael’s.

After a bit of fiddling around with leap years, I believe the following query will create a time tree representing all the days from 2011 – 2014, which covers the time the London Neo4j meetup has been running:

WITH range(2011, 2014) AS years, range(1,12) as months
FOREACH(year IN years | 
  MERGE (y:Year {year: year})
  FOREACH(month IN months | 
    CREATE (m:Month {month: month})
    MERGE (y)-[:HAS_MONTH]->(m)
    FOREACH(day IN (CASE 
                      WHEN month IN [1,3,5,7,8,10,12] THEN range(1,31) 
                      WHEN month = 2 THEN 
                        CASE
                          WHEN year % 4 <> 0 THEN range(1,28)
                          WHEN year % 100 <> 0 THEN range(1,29)
                          WHEN year % 400 <> 0 THEN range(1,29)
                          ELSE range(1,28)
                        END
                      ELSE range(1,30)
                    END) |      
      CREATE (d:Day {day: day})
      MERGE (m)-[:HAS_DAY]->(d))))

The next step is to link adjacent days together so that we can easily traverse between adjacent days without needing to go back up and down the tree. For example we should have something like this:

(jan31)-[:NEXT]->(feb1)-[:NEXT]->(feb2)

We can build this by first collecting all the ‘day’ nodes in date order like so:

MATCH (year:Year)-[:HAS_MONTH]->(month)-[:HAS_DAY]->(day)
WITH year,month,day
ORDER BY year.year, month.month, day.day
WITH collect(day) as days
RETURN days

And then iterating over adjacent nodes to create the ‘NEXT’ relationship:

MATCH (year:Year)-[:HAS_MONTH]->(month)-[:HAS_DAY]->(day)
WITH year,month,day
ORDER BY year.year, month.month, day.day
WITH collect(day) as days
FOREACH(i in RANGE(0, length(days)-2) | 
    FOREACH(day1 in [days[i]] | 
        FOREACH(day2 in [days[i+1]] | 
            CREATE UNIQUE (day1)-[:NEXT]->(day2))))

Now if we want to find the previous 5 days from the 1st February 2014 we could write the following query:

MATCH (y:Year {year: 2014})-[:HAS_MONTH]->(m:Month {month: 2})-[:HAS_DAY]->(:Day {day: 1})<-[:NEXT*0..5]-(day)
RETURN y,m,day

2014 04 19 22 14 04

If we want to we can create the time tree and then connect the day nodes all in one query by using ‘WITH *’ like so:

WITH range(2011, 2014) AS years, range(1,12) as months
FOREACH(year IN years | 
  MERGE (y:Year {year: year})
  FOREACH(month IN months | 
    CREATE (m:Month {month: month})
    MERGE (y)-[:HAS_MONTH]->(m)
    FOREACH(day IN (CASE 
                      WHEN month IN [1,3,5,7,8,10,12] THEN range(1,31) 
                      WHEN month = 2 THEN 
                        CASE
                          WHEN year % 4 <> 0 THEN range(1,28)
                          WHEN year % 100 <> 0 THEN range(1,29)
                          WHEN year % 400 <> 0 THEN range(1,29)
                          ELSE range(1,28)
                        END
                      ELSE range(1,30)
                    END) |      
      CREATE (d:Day {day: day})
      MERGE (m)-[:HAS_DAY]->(d))))
 
WITH *
 
MATCH (year:Year)-[:HAS_MONTH]->(month)-[:HAS_DAY]->(day)
WITH year,month,day
ORDER BY year.year, month.month, day.day
WITH collect(day) as days
FOREACH(i in RANGE(0, length(days)-2) | 
    FOREACH(day1 in [days[i]] | 
        FOREACH(day2 in [days[i+1]] | 
            CREATE UNIQUE (day1)-[:NEXT]->(day2))))

Now I need to connect the RSVP events to the tree!

Tree (data structure) Neo4j

Published at DZone with permission of Mark Needham. See the original article here.

Opinions expressed by DZone contributors are their own.

Related

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  • Two Engines, One Query: DuckDB Inside Neo4j
  • Running TypeSafe AI's Jev Inside Neo4j for Confidence-Aware Sentiment Decisions
  • Wasm Inside Neo4j: Building the Example That Didn't Exist

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