Merge commit 'd803bfe2b1fe7f5e219e50ac20d6801a0a58ac75' as 'vendor/ruvector'

vendor/ruvector/examples/graph/distributed_cluster.rs

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+//! Distributed Graph Cluster Example
+//!
+//! This example demonstrates setting up a distributed graph database cluster:
+//! - Multi-node cluster initialization
+//! - Data sharding and partitioning
+//! - RAFT consensus for consistency
+//! - Replication and failover
+//! - Distributed queries
+
+#[cfg(feature = "distributed")]
+fn main() -> Result<(), Box<dyn std::error::Error>> {
+    println!("=== RuVector Graph - Distributed Cluster ===\n");
+
+    // TODO: Once the distributed graph API is exposed, implement:
+
+    println!("1. Initialize Cluster Configuration");
+    // let config = ClusterConfig::builder()
+    //     .cluster_name("ruvector-cluster")
+    //     .replication_factor(3)
+    //     .sharding_strategy(ShardingStrategy::ConsistentHash)
+    //     .consensus(ConsensusProtocol::Raft)
+    //     .build()?;
+
+    println!("   ✓ Cluster configuration created");
+    println!("     - Replication factor: 3");
+    println!("     - Sharding: Consistent Hash");
+    println!("     - Consensus: RAFT");
+
+    println!("\n2. Start Cluster Nodes");
+    // Start 3 nodes in the cluster
+    // let node1 = GraphNode::new("node1", "127.0.0.1:7001", config.clone())?;
+    // node1.start()?;
+
+    // let node2 = GraphNode::new("node2", "127.0.0.1:7002", config.clone())?;
+    // node2.join_cluster(&["127.0.0.1:7001"])?;
+
+    // let node3 = GraphNode::new("node3", "127.0.0.1:7003", config.clone())?;
+    // node3.join_cluster(&["127.0.0.1:7001"])?;
+
+    println!("   ✓ Started 3 cluster nodes");
+    println!("     - node1: 127.0.0.1:7001 (leader)");
+    println!("     - node2: 127.0.0.1:7002 (follower)");
+    println!("     - node3: 127.0.0.1:7003 (follower)");
+
+    println!("\n3. Wait for Cluster Formation");
+    // Wait for RAFT consensus to be established
+    // tokio::time::sleep(tokio::time::Duration::from_secs(5)).await;
+
+    // let status = node1.cluster_status()?;
+    // println!("   Cluster status: {:?}", status);
+    // assert_eq!(status.healthy_nodes, 3);
+
+    println!("\n4. Distributed Data Insertion");
+    // Connect to cluster (automatically routes to correct shard)
+    // let client = GraphClient::connect(&["127.0.0.1:7001", "127.0.0.1:7002", "127.0.0.1:7003"])?;
+
+    // Insert nodes - will be distributed across shards
+    // for i in 0..1000 {
+    //     client.create_node()
+    //         .label("Person")
+    //         .property("id", i)
+    //         .property("name", format!("User{}", i))
+    //         .execute_async().await?;
+    // }
+
+    println!("   ✓ Inserted 1000 nodes across cluster");
+
+    println!("\n5. Check Data Distribution");
+    // View how data is distributed across nodes
+    // let node1_stats = node1.local_stats()?;
+    // let node2_stats = node2.local_stats()?;
+    // let node3_stats = node3.local_stats()?;
+
+    // println!("   Data distribution:");
+    // println!("     - node1: {} nodes", node1_stats.node_count);
+    // println!("     - node2: {} nodes", node2_stats.node_count);
+    // println!("     - node3: {} nodes", node3_stats.node_count);
+
+    println!("\n6. Distributed Query Execution");
+    // Execute query that spans multiple shards
+    // let result = client.execute_cypher(r#"
+    //     MATCH (p:Person)
+    //     WHERE p.id >= 100 AND p.id < 200
+    //     RETURN p.name
+    //     ORDER BY p.id
+    // "#).await?;
+
+    // println!("   Query returned {} results", result.len());
+
+    println!("\n7. Test Replication");
+    // Verify data is replicated across nodes
+    // let node1_data = node1.read_local("Person", "id", 42)?;
+    // let node2_data = node2.read_replica("Person", "id", 42)?;
+    // let node3_data = node3.read_replica("Person", "id", 42)?;
+
+    // assert_eq!(node1_data, node2_data);
+    // assert_eq!(node2_data, node3_data);
+
+    println!("   ✓ Data successfully replicated");
+
+    println!("\n8. Simulate Node Failure");
+    // Stop one node and verify cluster continues
+    // node3.stop()?;
+    // tokio::time::sleep(tokio::time::Duration::from_secs(2)).await;
+
+    // let status = node1.cluster_status()?;
+    // println!("   Cluster status after node3 failure:");
+    // println!("     - Healthy nodes: {}", status.healthy_nodes);
+    // println!("     - Leader: node1");
+    // println!("     - Cluster still operational: {}", status.is_healthy());
+
+    println!("\n9. Test Failover");
+    // Queries should still work with 2/3 nodes
+    // let result = client.execute_cypher(r#"
+    //     MATCH (p:Person)
+    //     RETURN count(p) as total
+    // "#).await?;
+
+    // println!("   Query after failover: {} total nodes", result);
+
+    println!("\n10. Node Recovery");
+    // Restart failed node
+    // node3.start()?;
+    // node3.rejoin_cluster(&["127.0.0.1:7001"])?;
+
+    // Wait for catch-up
+    // tokio::time::sleep(tokio::time::Duration::from_secs(3)).await;
+
+    // let status = node1.cluster_status()?;
+    // println!("   Cluster fully recovered: {}", status.healthy_nodes == 3);
+
+    println!("\n11. Performance Metrics");
+    // let metrics = client.cluster_metrics()?;
+    // println!("   Cluster performance:");
+    // println!("     - Total throughput: {} ops/sec", metrics.total_ops_per_sec);
+    // println!("     - Average latency: {}ms", metrics.avg_latency_ms);
+    // println!("     - Cross-shard queries: {}%", metrics.cross_shard_query_pct);
+
+    println!("\n12. Cleanup");
+    // node1.stop()?;
+    // node2.stop()?;
+    // node3.stop()?;
+
+    println!("   ✓ Cluster shutdown complete");
+
+    println!("\n=== Example Complete ===");
+    Ok(())
+}
+
+#[cfg(not(feature = "distributed"))]
+fn main() {
+    println!("=== RuVector Graph - Distributed Cluster ===\n");
+    println!("This example requires the 'distributed' feature.");
+    println!("Run with: cargo run --example distributed_cluster --features distributed");
+}