Examples

1. Find Users Over 25 with Followers

QUERY FindActiveUsers() =>
    users <- V<Person>()::WHERE(_::Props(Age)::GT(25))
    withFollowers <- users::WHERE(EXISTS(_::In<Follows>))
    RETURN withFollowers

2. Create Friendship Between Users

QUERY CreateFriendship(user1Id, user2Id) =>
    user1 <- V<Person>(user1Id)
    user2 <- V<Person>(user2Id)
    friendship <- AddE<Follows>({Since: "2024"})::From(user1)::To(user2)
    RETURN friendship

3. Get User’s Friends with Age

QUERY GetFriendsWithAge(userId) =>
    user <- V<Person>(userId)
    friends <- user::Out<Follows>::InV::Props(Name, Age)
    RETURN friends

4. Complex Network Analysis

QUERY AnalyzeNetwork(userId) =>
    user <- V<Person>(userId)
    activeConnections <- user::Out<Follows>
        ::WHERE(_::Props(Weight)::GT(0.5))
        ::InV
        ::WHERE(_::Out::COUNT::GT(5))
    result <- activeConnections::{
        Name: _::Props(Name),
        ConnectionCount: _::Out::COUNT
    }
    RETURN result

Best Practices

1. Query Organization

   • Break complex queries into smaller, reusable parts
   • Use meaningful variable names
   • Comment complex traversals

2. Performance

   • Filter early in traversals to reduce data set
   • Use specific vertex/edge types when possible
   • Avoid unnecessary property access

3. Schema Design

   • Use clear, consistent naming conventions
   • Define appropriate property types
   • Document relationships between vertex types