//! Cypher Query Examples //! //! This example demonstrates Neo4j-compatible Cypher queries: //! - CREATE: Creating nodes and relationships //! - MATCH: Pattern matching //! - WHERE: Filtering results //! - RETURN: Projecting results //! - Aggregations and complex queries fn main() { println!("=== RuVector Graph - Cypher Queries ===\n"); // TODO: Once the graph API is exposed, implement: println!("1. Simple CREATE Query"); // let query = "CREATE (n:Person {name: 'Charlie', age: 28}) RETURN n"; // let result = db.execute_cypher(query)?; // println!(" Query: {}", query); // println!(" Result: {:?}", result); println!("\n2. Pattern Matching"); // let query = r#" // MATCH (p:Person) // WHERE p.age > 25 // RETURN p.name, p.age // ORDER BY p.age DESC // "#; // let result = db.execute_cypher(query)?; // println!(" Query: {}", query); // println!(" Result: {:?}", result); println!("\n3. Creating Relationships"); // let query = r#" // MATCH (a:Person {name: 'Alice'}) // MATCH (b:Person {name: 'Charlie'}) // CREATE (a)-[r:KNOWS {since: 2023}]->(b) // RETURN r // "#; // let result = db.execute_cypher(query)?; // println!(" Query: {}", query); // println!(" Result: {:?}", result); println!("\n4. Traversal Queries"); // let query = r#" // MATCH (start:Person {name: 'Alice'})-[:KNOWS*1..3]->(end:Person) // RETURN end.name, length((start)-[:KNOWS*]->(end)) as distance // ORDER BY distance // "#; // let result = db.execute_cypher(query)?; // println!(" Query: {}", query); // println!(" Result: {:?}", result); println!("\n5. Aggregation Queries"); // let query = r#" // MATCH (p:Person) // RETURN // count(p) as total_people, // avg(p.age) as average_age, // min(p.age) as youngest, // max(p.age) as oldest // "#; // let result = db.execute_cypher(query)?; // println!(" Query: {}", query); // println!(" Result: {:?}", result); println!("\n6. Shortest Path"); // let query = r#" // MATCH path = shortestPath( // (a:Person {name: 'Alice'})-[:KNOWS*]-(b:Person {name: 'Bob'}) // ) // RETURN path, length(path) as distance // "#; // let result = db.execute_cypher(query)?; // println!(" Query: {}", query); // println!(" Result: {:?}", result); println!("\n7. Pattern Comprehension"); // let query = r#" // MATCH (p:Person) // RETURN p.name, [(p)-[:KNOWS]->(friend) | friend.name] as friends // "#; // let result = db.execute_cypher(query)?; // println!(" Query: {}", query); // println!(" Result: {:?}", result); println!("\n8. Complex Multi-Pattern Query"); // let query = r#" // MATCH (p:Person)-[:LIVES_IN]->(city:City) // MATCH (p)-[:WORKS_AT]->(company:Company) // WHERE city.name = 'San Francisco' AND company.industry = 'Tech' // RETURN p.name, company.name, p.salary // ORDER BY p.salary DESC // LIMIT 10 // "#; // let result = db.execute_cypher(query)?; // println!(" Query: {}", query); // println!(" Result: {:?}", result); println!("\n9. Updating Properties with Cypher"); // let query = r#" // MATCH (p:Person {name: 'Alice'}) // SET p.age = p.age + 1, p.updated_at = timestamp() // RETURN p // "#; // let result = db.execute_cypher(query)?; // println!(" Query: {}", query); // println!(" Result: {:?}", result); println!("\n10. Conditional Creation (MERGE)"); // let query = r#" // MERGE (p:Person {email: 'alice@example.com'}) // ON CREATE SET p.name = 'Alice', p.created_at = timestamp() // ON MATCH SET p.last_seen = timestamp() // RETURN p // "#; // let result = db.execute_cypher(query)?; // println!(" Query: {}", query); // println!(" Result: {:?}", result); println!("\n=== Example Complete ==="); println!("\nNote: This is a template. Actual implementation pending graph API exposure."); }