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