neo4j-cypher | A Ruby DSL for the Neo4j Cypher query language

If I wanted to return a composite object, based on an exisiting node, I know that I could to this: (thanks to this post)

I'm working on a rather big project. I need to use azure-security-keyvault-secrets, so I added following to my pom.xml file:

This is an extension of the following question:

I have a data lineage related graph in Neo4J with variable length path containing intermediate nodes (tables) as an array:

First of all, I have looked at Can Neo4j Cypher query do similar thing as "Having" in SQL? and https://neo4j.com/developer/kb/how-do-i-achieve-the-equivalent-of-a-sql-having-clause-with-cypher/. They both have similar advice, but it doesn't seem to work in my case (perhaps because of the UNWIND clause I have?).

Here's my query:

15 to poi 4.0.0. Here are the poi dependencies I have on classpath.

poi-4.0.0 poi-scratchpad-4.0.0 poi-ooxml-4.0.0 poi-ooxml-schemas-4.0.0 xmlbeans-3.0.1

Getting below exception when I try to close workbook

I'm very beginner to Cypher query. So, I'm trying to understand MATCH and CREATE. Here's what I am currently defining relationship between author and the book:

I am trying to auto generate a a text file that can be run to create the nodes and relationships for a Neoj4 Graph.

The text file is being created in two sections:

First the nodes are created in a For loop (6000 nodes) with a result like this:

I've migrated my relational database to neo4j and am studying whether I can implement some functionalities before I commit to the new system. I just read two neo4j books, but unfortunately they don't cover two key features I was hoping would be more self-evident. I'd be most grateful for some quick advice on whether these things will be easy to implement or whether I should stick to sql! Thx!

Features I need are: 1) I have run a script to assign :leaf label to all nodes that are leaves in my tree. In paths between a known node and its related leaf nodes, I aim to assign to every node a level property that reflects how many hops that node is from the known node (or leaf node - whatever I can get to work most easily).

I tried: match path=(n:Leaf)-[:R*]->(:Parent {Parent_ID: $known_value}) with n, length(nodes(path)) as hops set n.Level2=hops;

and path=(n:Leaf)-[:R*]->(:Parent {Parent_ID: $known_value}) with n, path, length(nodes(path)) as hops foreach (n IN relationships (path) | set n.Level=hops);

The first assigns property with value of full length of path to only leaf nodes. The second assigns property with value of full length of path to all relationships in path.

Should I be using shortestpath instead, create a bogus property with value =1 for all nodes and iteratively add weight of that property?

2) I need to find the common children for a given parent node. For example, my children each [:like] lots of movies, and I would like to create [:like] relationships from myself to just the movies that my children all like in common (so if 1 of 1 likes a movie, then I like it too, but if only 2 of 3 like a movie, nothing happens).

I found a solution with three paths here: Need only common nodes across multiple paths - Neo4j Cypher But I need a solution that works for any number of paths (starting from 1).

3) Then I plan to start at my furthest leaf nodes, create relationships to children's movies, and move level by level toward my known node and repeat create relationships, so that the top-most grandparent likes only the movies that all children [of all children of all children...] like in common and if there's one that everybody agrees on, that's the movie the entire extended family will watch Saturday night.

Can this be done with neo4j and how hard a task is it for someone with rudimentary Cypher? This is mostly how I did it in my relational database / Should I be looking at implementing this totally differently in graph database?

Most grateful for any advice. Thanks!

I want to delete the the special "root" node in my Neo4j Database.

I already found some Question/Answer in SO, but they are not useful, from different reason.

We uses a db:DATABASE node for store the tenant data in Neo4j, and all other node is somehow connected to this node. So the real Neo4j Root Node just have connections to this DATABASE-s. It means whet a new node is created under the tenant, this new node intermediately has a connection to DATABASE node, and the connection name is CONTAINS.

here is the creation code of the DATABASE node