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https://github.com/rustfs/rustfs.git
synced 2026-08-10 23:26:53 +00:00
refactor: simplify initialization flow and modernize string formatting (#548)
This commit is contained in:
@@ -87,7 +87,7 @@ impl LockClient for LocalClient {
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current_owner,
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current_mode,
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}) => Ok(LockResponse::failure(
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format!("Lock conflict: resource held by {} in {:?} mode", current_owner, current_mode),
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format!("Lock conflict: resource held by {current_owner} in {current_mode:?} mode"),
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std::time::Duration::ZERO,
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)),
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Err(crate::fast_lock::LockResult::Acquired) => {
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@@ -131,7 +131,7 @@ impl LockClient for LocalClient {
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current_owner,
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current_mode,
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}) => Ok(LockResponse::failure(
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format!("Lock conflict: resource held by {} in {:?} mode", current_owner, current_mode),
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format!("Lock conflict: resource held by {current_owner} in {current_mode:?} mode"),
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std::time::Duration::ZERO,
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)),
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Err(crate::fast_lock::LockResult::Acquired) => {
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@@ -409,14 +409,14 @@ mod tests {
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// Acquire multiple guards and verify unique IDs
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let mut guards = Vec::new();
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for i in 0..100 {
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let object_name = format!("object_{}", i);
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let object_name = format!("object_{i}");
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let guard = manager
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.acquire_write_lock("bucket", object_name.as_str(), "owner")
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.await
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.expect("Failed to acquire lock");
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let guard_id = guard.guard_id();
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assert!(guard_ids.insert(guard_id), "Guard ID {} is not unique", guard_id);
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assert!(guard_ids.insert(guard_id), "Guard ID {guard_id} is not unique");
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guards.push(guard);
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}
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@@ -501,7 +501,7 @@ mod tests {
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let handle = tokio::spawn(async move {
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for i in 0..10 {
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let object_name = format!("obj_{}_{}", task_id, i);
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let object_name = format!("obj_{task_id}_{i}");
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// Acquire lock
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let mut guard = match manager.acquire_write_lock("bucket", object_name.as_str(), "owner").await {
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@@ -535,7 +535,7 @@ mod tests {
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let blocked = double_release_blocked.load(Ordering::SeqCst);
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// Should have many successful releases and all double releases blocked
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assert!(successes > 150, "Expected many successful releases, got {}", successes);
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assert!(successes > 150, "Expected many successful releases, got {successes}");
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assert_eq!(blocked, successes, "All double releases should be blocked");
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// Verify no active guards remain
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@@ -567,7 +567,7 @@ mod tests {
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// Acquire multiple locks for the same object to ensure they're in the same shard
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let mut guards = Vec::new();
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for i in 0..10 {
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let owner_name = format!("owner_{}", i);
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let owner_name = format!("owner_{i}");
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let guard = manager
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.acquire_read_lock("bucket", "shared_object", owner_name.as_str())
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.await
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@@ -586,7 +586,7 @@ mod tests {
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let cleaned = shard.adaptive_cleanup();
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// Should clean very little due to active guards
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assert!(cleaned <= 5, "Should be conservative with active guards, cleaned: {}", cleaned);
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assert!(cleaned <= 5, "Should be conservative with active guards, cleaned: {cleaned}");
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// Locks should be protected by active guards
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let remaining_locks = shard.lock_count();
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@@ -809,7 +809,7 @@ mod tests {
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let manager_clone = manager.clone();
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let handle = tokio::spawn(async move {
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let _guard = manager_clone
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.acquire_read_lock("bucket", format!("object-{}", i), "background")
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.acquire_read_lock("bucket", format!("object-{i}"), "background")
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.await;
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tokio::time::sleep(tokio::time::Duration::from_millis(100)).await;
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});
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@@ -842,7 +842,7 @@ mod tests {
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// High priority should generally perform reasonably well
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// This is more of a performance validation than a strict requirement
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println!("High priority: {:?}, Normal: {:?}", high_priority_duration, normal_duration);
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println!("High priority: {high_priority_duration:?}, Normal: {normal_duration:?}");
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// Both operations should complete in reasonable time (less than 100ms in test environment)
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// This validates that the priority system isn't causing severe degradation
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@@ -858,7 +858,7 @@ mod tests {
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let mut _guards = Vec::new();
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for i in 0..100 {
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if let Ok(guard) = manager
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.acquire_write_lock("bucket", format!("load-object-{}", i), "loader")
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.acquire_write_lock("bucket", format!("load-object-{i}"), "loader")
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.await
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{
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_guards.push(guard);
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@@ -909,8 +909,8 @@ mod tests {
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// Try to acquire all locks for this "query"
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for obj_id in 0..objects_per_query {
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let bucket = "databend";
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let object = format!("table_partition_{}_{}", query_id, obj_id);
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let owner = format!("query_{}", query_id);
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let object = format!("table_partition_{query_id}_{obj_id}");
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let owner = format!("query_{query_id}");
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match manager_clone.acquire_high_priority_read_lock(bucket, object, owner).await {
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Ok(guard) => query_locks.push(guard),
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@@ -935,8 +935,8 @@ mod tests {
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let manager_clone = manager.clone();
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let handle = tokio::spawn(async move {
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let bucket = "databend";
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let object = format!("write_target_{}", write_id);
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let owner = format!("writer_{}", write_id);
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let object = format!("write_target_{write_id}");
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let owner = format!("writer_{write_id}");
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match manager_clone.acquire_write_lock(bucket, object, owner).await {
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Ok(_guard) => {
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@@ -988,7 +988,7 @@ mod tests {
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let handle = tokio::spawn(async move {
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let bucket = "test";
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let object = format!("extreme_load_object_{}", i % 20); // Force some contention
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let owner = format!("user_{}", i);
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let owner = format!("user_{i}");
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// Mix of read and write locks to create realistic contention
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let result = if i % 3 == 0 {
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@@ -1066,8 +1066,8 @@ mod tests {
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};
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let bucket = "datacenter-shared";
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let object = format!("table_{}_{}_partition_{}", table_id, client_id, table_idx);
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let owner = format!("client_{}_query_{}", client_id, query_id);
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let object = format!("table_{table_id}_{client_id}_partition_{table_idx}");
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let owner = format!("client_{client_id}_query_{query_id}");
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// Mix of operations - mostly reads with some writes
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let lock_result = if table_idx == 0 && query_id % 7 == 0 {
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@@ -1129,10 +1129,10 @@ mod tests {
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}
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println!("\n=== Multi-Client Datacenter Simulation Results ===");
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println!("Total execution time: {:?}", total_time);
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println!("Total clients: {}", num_clients);
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println!("Queries per client: {}", queries_per_client);
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println!("Total queries executed: {}", total_queries);
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println!("Total execution time: {total_time:?}");
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println!("Total clients: {num_clients}");
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println!("Queries per client: {queries_per_client}");
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println!("Total queries executed: {total_queries}");
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println!(
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"Successful queries: {} ({:.1}%)",
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successful_queries,
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@@ -1179,8 +1179,7 @@ mod tests {
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// Performance assertion - should complete in reasonable time
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assert!(
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total_time < std::time::Duration::from_secs(120),
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"Multi-client test took too long: {:?}",
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total_time
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"Multi-client test took too long: {total_time:?}"
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);
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}
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@@ -1209,8 +1208,8 @@ mod tests {
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client_attempts += 1;
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let bucket = "hot-data";
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let object = format!("popular_table_{}", obj_id);
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let owner = format!("thundering_client_{}", client_id);
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let object = format!("popular_table_{obj_id}");
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let owner = format!("thundering_client_{client_id}");
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// Simulate different access patterns
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let result = match obj_id % 3 {
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@@ -1265,12 +1264,12 @@ mod tests {
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let success_rate = total_successes as f64 / total_attempts as f64;
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println!("\n=== Thundering Herd Scenario Results ===");
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println!("Concurrent clients: {}", num_concurrent_clients);
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println!("Hot objects: {}", hot_objects);
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println!("Total attempts: {}", total_attempts);
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println!("Total successes: {}", total_successes);
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println!("Concurrent clients: {num_concurrent_clients}");
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println!("Hot objects: {hot_objects}");
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println!("Total attempts: {total_attempts}");
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println!("Total successes: {total_successes}");
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println!("Success rate: {:.1}%", success_rate * 100.0);
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println!("Total time: {:?}", total_time);
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println!("Total time: {total_time:?}");
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println!(
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"Average time per operation: {:.1}ms",
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total_time.as_millis() as f64 / total_attempts as f64
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@@ -1286,8 +1285,7 @@ mod tests {
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// Should handle this volume in reasonable time
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assert!(
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total_time < std::time::Duration::from_secs(180),
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"Thundering herd test took too long: {:?}",
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total_time
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"Thundering herd test took too long: {total_time:?}"
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);
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}
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@@ -1314,7 +1312,7 @@ mod tests {
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for op_id in 0..operations_per_transaction {
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let bucket = "oltp-data";
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let object = format!("record_{}_{}", oltp_id * 10 + tx_id, op_id);
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let owner = format!("oltp_{}_{}", oltp_id, tx_id);
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let owner = format!("oltp_{oltp_id}_{tx_id}");
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// OLTP is mostly writes
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let result = manager_clone.acquire_write_lock(bucket, object, owner).await;
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@@ -1358,7 +1356,7 @@ mod tests {
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table_id % 20, // Some overlap between queries
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query_id
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);
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let owner = format!("olap_{}_{}", olap_id, query_id);
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let owner = format!("olap_{olap_id}_{query_id}");
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// OLAP is mostly reads with high priority
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let result = manager_clone.acquire_critical_read_lock(bucket, object, owner).await;
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@@ -1408,7 +1406,7 @@ mod tests {
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let olap_success_rate = olap_successes as f64 / olap_attempts as f64;
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println!("\n=== Mixed Workload Stress Test Results ===");
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println!("Total time: {:?}", total_time);
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println!("Total time: {total_time:?}");
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println!(
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"OLTP: {}/{} transactions succeeded ({:.1}%)",
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oltp_successes,
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@@ -152,14 +152,14 @@ pub mod performance_comparison {
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for i in 0..1000 {
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let guard = fast_manager
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.acquire_write_lock("bucket", format!("object_{}", i), owner)
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.acquire_write_lock("bucket", format!("object_{i}"), owner)
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.await
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.expect("Failed to acquire fast lock");
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guards.push(guard);
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}
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let fast_duration = start.elapsed();
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println!("Fast lock: 1000 acquisitions in {:?}", fast_duration);
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println!("Fast lock: 1000 acquisitions in {fast_duration:?}");
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// Release all
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drop(guards);
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@@ -27,7 +27,7 @@ mod tests {
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let mut guards = Vec::new();
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for i in 0..100 {
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let bucket = format!("test-bucket-{}", i % 10); // Reuse some bucket names
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let object = format!("test-object-{}", i);
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let object = format!("test-object-{i}");
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let guard = manager
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.acquire_write_lock(bucket.as_str(), object.as_str(), "test-owner")
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@@ -53,10 +53,7 @@ mod tests {
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0.0
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};
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println!(
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"Pool stats - Hits: {}, Misses: {}, Releases: {}, Pool size: {}",
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hits, misses, releases, pool_size
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);
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println!("Pool stats - Hits: {hits}, Misses: {misses}, Releases: {releases}, Pool size: {pool_size}");
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println!("Hit rate: {:.2}%", hit_rate * 100.0);
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// We should see some pool activity
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@@ -82,7 +79,7 @@ mod tests {
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.expect("Failed to acquire second read lock");
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let duration = start.elapsed();
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println!("Two read locks on different objects took: {:?}", duration);
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println!("Two read locks on different objects took: {duration:?}");
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// Should be very fast since no contention
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assert!(duration < Duration::from_millis(10), "Read locks should be fast with no contention");
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@@ -103,7 +100,7 @@ mod tests {
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.expect("Failed to acquire second read lock on same object");
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let duration = start.elapsed();
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println!("Two read locks on same object took: {:?}", duration);
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println!("Two read locks on same object took: {duration:?}");
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// Should still be fast since read locks are compatible
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assert!(duration < Duration::from_millis(10), "Compatible read locks should be fast");
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@@ -132,7 +129,7 @@ mod tests {
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.expect("Failed to acquire second read lock");
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let second_duration = start.elapsed();
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println!("First lock: {:?}, Second lock: {:?}", first_duration, second_duration);
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println!("First lock: {first_duration:?}, Second lock: {second_duration:?}");
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// Both should be very fast (sub-millisecond typically)
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assert!(first_duration < Duration::from_millis(10));
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@@ -157,7 +154,7 @@ mod tests {
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let result = manager.acquire_locks_batch(batch).await;
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let duration = start.elapsed();
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println!("Batch operation took: {:?}", duration);
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println!("Batch operation took: {duration:?}");
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assert!(result.all_acquired, "All locks should be acquired");
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assert_eq!(result.successful_locks.len(), 3);
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