From d94ab26e72646e1785d3c7ea8fd9434daa3e46ee Mon Sep 17 00:00:00 2001 From: ZeroJustMe <619378845@qq.com> Date: Tue, 14 Oct 2025 11:37:03 +0800 Subject: [PATCH 1/6] Checkpoint from VS Code for coding agent session --- src/index/ivf.cpp | 8 ++++---- src/operator/join_operator.cpp | 13 ++++++++----- src/utils/monitoring.cpp | 12 ++++++------ 3 files changed, 18 insertions(+), 15 deletions(-) diff --git a/src/index/ivf.cpp b/src/index/ivf.cpp index a1741c9..e4e84b9 100644 --- a/src/index/ivf.cpp +++ b/src/index/ivf.cpp @@ -20,9 +20,9 @@ void Ivf::debugDumpStateUnlocked() { size_t total_in_lists = 0; for (auto &kv : inverted_lists_) total_in_lists += kv.second.size(); SAGEFLOW_LOG_WARN("INDEX", "DEBUG_DUMP size_={} total_in_lists={} deleted_uids={} nlists={} attempts={} success={} missing={} miss_in_storage={} miss_not_in_storage={} underflow={} ", - size_.load(), total_in_lists, deleted_uids_.size(), inverted_lists_.size(), - erase_attempts_.load(), erase_success_.load(), erase_missing_.load(), - erase_missing_in_storage_.load(), erase_missing_not_in_storage_.load(), erase_underflow_.load()); + size_.load(), total_in_lists, deleted_uids_.size(), inverted_lists_.size(), + erase_attempts_.load(), erase_success_.load(), erase_missing_.load(), + erase_missing_in_storage_.load(), erase_missing_not_in_storage_.load(), erase_underflow_.load()); // 采样输出前几个非空列表的部分内容 int printed = 0; for (auto &kv : inverted_lists_) { @@ -30,7 +30,7 @@ void Ivf::debugDumpStateUnlocked() { std::string sample; size_t limit = std::min(kv.second.size(), 5); for (size_t i = 0; i < limit; ++i) { sample += std::to_string(kv.second[i]); sample.push_back(','); } - SAGEFLOW_LOG_DEBUG("INDEX", "list_id={} size={} sample=[{}]", kv.first, kv.second.size(), sample); + SAGEFLOW_LOG_DEBUG("INDEX", "list_id={} size={} sample=[{}]", kv.first, kv.second.size(), sample); if (++printed >= 5) break; } } diff --git a/src/operator/join_operator.cpp b/src/operator/join_operator.cpp index 8d07424..67d07ac 100644 --- a/src/operator/join_operator.cpp +++ b/src/operator/join_operator.cpp @@ -69,28 +69,31 @@ JoinOperator::JoinOperator(std::unique_ptr &join_func, if (createIndexPair(IndexType::IVF, "join_ivf")) { use_index_ = true; join_method_ = std::make_unique(left_index_id_, right_index_id_, - join_similarity_threshold_, concurrency_manager_); + join_similarity_threshold_, concurrency_manager_); } else { index_kind_ = InternalIndexKind::NONE; use_index_ = false; - join_method_ = std::make_unique(-1, -1, join_similarity_threshold_, concurrency_manager_); + join_method_ = std::make_unique( + -1, -1, join_similarity_threshold_, concurrency_manager_); } } else if (algo == "bruteforce" || algo == "bf" ) { index_kind_ = InternalIndexKind::BRUTEFORCE; if (createIndexPair(IndexType::BruteForce, "join_bf")) { use_index_ = true; join_method_ = std::make_unique(left_index_id_, right_index_id_, - join_similarity_threshold_, concurrency_manager_); + join_similarity_threshold_, concurrency_manager_); } else { index_kind_ = InternalIndexKind::NONE; use_index_ = false; - join_method_ = std::make_unique(-1, -1, join_similarity_threshold_, concurrency_manager_); + join_method_ = std::make_unique( + -1, -1, join_similarity_threshold_, concurrency_manager_); } } else { index_kind_ = InternalIndexKind::NONE; use_index_ = false; is_eager_ = false; - join_method_ = std::make_unique(-1, -1, join_similarity_threshold_, concurrency_manager_); + join_method_ = std::make_unique( + -1, -1, join_similarity_threshold_, concurrency_manager_); } } diff --git a/src/utils/monitoring.cpp b/src/utils/monitoring.cpp index 3381167..2ee5067 100644 --- a/src/utils/monitoring.cpp +++ b/src/utils/monitoring.cpp @@ -22,12 +22,12 @@ void PerformanceMonitor::StartProfiling() { if (!profiling_) { ProfilerStart(profile_output_file_.c_str()); profiling_ = true; - SAGEFLOW_LOG_INFO("MONITOR", "profiling_started file={} ", profile_output_file_); + SAGEFLOW_LOG_INFO("MONITOR", "profiling_started file={} ", profile_output_file_); } else { - SAGEFLOW_LOG_WARN("MONITOR", "profiling_already_running file={} ", profile_output_file_); + SAGEFLOW_LOG_WARN("MONITOR", "profiling_already_running file={} ", profile_output_file_); } #else - std::cerr << "Profiling not available: gperftools not found." << '\n'; + SAGEFLOW_LOG_ERROR("MONITOR", "Profiling not available: gperftools not found."); #endif } @@ -36,12 +36,12 @@ void PerformanceMonitor::StopProfiling() { if (profiling_) { ProfilerStop(); profiling_ = false; - SAGEFLOW_LOG_INFO("MONITOR", "profiling_stopped file={} ", profile_output_file_); + SAGEFLOW_LOG_INFO("MONITOR", "profiling_stopped file={} ", profile_output_file_); } else { - SAGEFLOW_LOG_WARN("MONITOR", "profiling_not_running file={} ", profile_output_file_); + SAGEFLOW_LOG_WARN("MONITOR", "profiling_not_running file={} ", profile_output_file_); } #else - std::cerr << "Profiling not available: gperftools not found." << '\n'; + SAGEFLOW_LOG_ERROR("MONITOR", "Profiling not available: gperftools not found."); #endif } From c4bcbeffef3481a5a8d44cb75757254cc307756e Mon Sep 17 00:00:00 2001 From: Copilot <198982749+Copilot@users.noreply.github.com> Date: Tue, 14 Oct 2025 15:56:04 +0800 Subject: [PATCH 2/6] Add type-safe index parameter system with dynamic IVF calculation based on join window vector count (#4) * Initial plan * Add IVF index parameter passing and window-based calculation - Added getWindowSize() method to ThreadSafeSlidingWindow and JoinFunction - Added new create_index overload accepting IVF parameters (nlist, rebuild_threshold, nprobes) - Added new createIndexPair overload in JoinOperator accepting IVF parameters - Updated JoinOperator constructor to calculate nlist as 4*sqrt(window_size) - Set default rebuild_threshold to 1.5 and nprobes to 10 for IVF indexes - All existing tests pass successfully Co-authored-by: ZeroJustMe <13223093+ZeroJustMe@users.noreply.github.com> * Refactor index parameter passing with type-safe variant system - Replace index-specific parameters with IndexParameters variant - Add IVFParameters, HNSWParameters, and NoParameters structs - Update create_index to accept IndexParameters instead of individual params - Type-safe parameter passing prevents incorrect usage - Extensible design supports all current and future index types - Backward compatible with default parameters - All tests pass Co-authored-by: ZeroJustMe <13223093+ZeroJustMe@users.noreply.github.com> * Update IVF nlist calculation to use window_size/step_size - Changed nlist calculation from sqrt(window_size) to sqrt(window_size/step_size) - Now calculates based on actual vector count in window - Added getStepSize() method to ThreadSafeSlidingWindow and JoinFunction - More accurate clustering based on data volume - All tests pass Co-authored-by: ZeroJustMe <13223093+ZeroJustMe@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: ZeroJustMe <13223093+ZeroJustMe@users.noreply.github.com> --- include/concurrency/concurrency_manager.h | 2 ++ include/function/join_function.h | 13 +++++++ include/index/index.h | 20 +++++++++++ include/operator/join_operator.h | 1 + src/concurrency/concurrency_manager.cpp | 44 +++++++++++++++++++++++ src/function/join_function.cpp | 8 +++++ src/operator/join_operator.cpp | 26 +++++++++++++- 7 files changed, 113 insertions(+), 1 deletion(-) diff --git a/include/concurrency/concurrency_manager.h b/include/concurrency/concurrency_manager.h index b568f4e..c4b0e6f 100644 --- a/include/concurrency/concurrency_manager.h +++ b/include/concurrency/concurrency_manager.h @@ -24,6 +24,8 @@ class ConcurrencyManager { ~ConcurrencyManager(); auto create_index(const std::string &name, const IndexType &index_type, int dimension) -> int; + auto create_index(const std::string &name, const IndexType &index_type, int dimension, + const IndexParameters& params) -> int; auto create_index(const std::string &name, int dimension) -> int; auto drop_index(const std::string &name) -> bool; diff --git a/include/function/join_function.h b/include/function/join_function.h index cdd05f3..6466b17 100644 --- a/include/function/join_function.h +++ b/include/function/join_function.h @@ -31,6 +31,16 @@ namespace sageFlow { lastEmitted = -1; } + auto getWindowSize() const -> int64_t { + std::lock_guard lock(mutex_); + return windowSize; + } + + auto getStepSize() const -> int64_t { + std::lock_guard lock(mutex_); + return stepSize; + } + auto windowTimeLimit(int64_t timestamp) const -> int64_t { std::lock_guard lock(mutex_); return timestamp - windowSize; @@ -118,6 +128,9 @@ namespace sageFlow { auto setOtherStream(std::shared_ptr other_plan) -> void; auto setWindow(int64_t time_window, int64_t stepsize) -> void; + + auto getWindowSize() const -> int64_t; + auto getStepSize() const -> int64_t; SlidingWindow windowL, windowR; ThreadSafeSlidingWindow threadSafeWindowL, threadSafeWindowR; diff --git a/include/index/index.h b/include/index/index.h index 1d77d72..525d3e4 100644 --- a/include/index/index.h +++ b/include/index/index.h @@ -5,6 +5,8 @@ #include #include #include +#include +#include #include "compute_engine/compute_engine.h" #include "storage/storage_manager.h" @@ -18,6 +20,24 @@ enum class IndexType { // NOLINT Vectraflow }; +// Index-specific parameter structures +struct IVFParameters { + int nlist = 1000; + double rebuild_threshold = 1.5; + int nprobes = 10; +}; + +struct HNSWParameters { + int m = 20; + int ef_construction = 100; + int ef_search = 40; +}; + +struct NoParameters {}; + +// Variant to hold any index parameters +using IndexParameters = std::variant; + class Index { public: // data diff --git a/include/operator/join_operator.h b/include/operator/join_operator.h index e49b800..1925f2a 100644 --- a/include/operator/join_operator.h +++ b/include/operator/join_operator.h @@ -41,6 +41,7 @@ namespace sageFlow { void initializeIVFIndexes(int nlist, double rebuild_threshold, int nprobes); // 保留现有接口（暂未用到额外参数） bool createIndexPair(IndexType type, const std::string& prefix); + bool createIndexPair(IndexType type, const std::string& prefix, const IndexParameters& params); // 线程安全的窗口更新方法（容器改为 deque） auto updateSideThreadSafe( diff --git a/src/concurrency/concurrency_manager.cpp b/src/concurrency/concurrency_manager.cpp index 2343138..b155405 100644 --- a/src/concurrency/concurrency_manager.cpp +++ b/src/concurrency/concurrency_manager.cpp @@ -47,6 +47,50 @@ auto sageFlow::ConcurrencyManager::create_index(const std::string& name, const I return index->index_id_; } +auto sageFlow::ConcurrencyManager::create_index(const std::string& name, const IndexType& index_type, int dimension, + const IndexParameters& params) -> int { + std::shared_ptr index = nullptr; + switch (index_type) { + case IndexType::None: + return -1; + case IndexType::IVF: + if (auto* ivf_params = std::get_if(¶ms)) { + index = std::make_shared(ivf_params->nlist, ivf_params->rebuild_threshold, ivf_params->nprobes); + } else { + // Use default parameters if wrong type provided + index = std::make_shared(); + } + break; + case IndexType::HNSW: + if (auto* hnsw_params = std::get_if(¶ms)) { + index = std::make_shared(hnsw_params->m, hnsw_params->ef_construction, hnsw_params->ef_search); + } else { + // Use default parameters if wrong type provided + index = std::make_shared(); + } + break; + case IndexType::Vectraflow: + index = std::make_shared(); + break; + case IndexType::BruteForce: + default: + index = std::make_shared(); + break; + } + index->index_id_ = index_id_counter_++; + index->index_type_ = index_type; + index->dimension_ = dimension; + + index->storage_manager_ = storage_; + storage_->engine_ = std::make_shared(); + + const auto blank_controller = std::make_shared(index); + + controller_map_[index->index_id_] = blank_controller; + index_map_[name] = IdWithType{.id_ = index->index_id_, .index_type_ = index_type}; + return index->index_id_; +} + auto sageFlow::ConcurrencyManager::create_index(const std::string& name, int dimension) -> int { return create_index(name, IndexType::BruteForce, dimension); } diff --git a/src/function/join_function.cpp b/src/function/join_function.cpp index e636b3b..6a29d5c 100644 --- a/src/function/join_function.cpp +++ b/src/function/join_function.cpp @@ -51,4 +51,12 @@ auto sageFlow::JoinFunction::setWindow(int64_t windowsize, int64_t stepsize) -> windowR.setWindow(windowsize, stepsize); threadSafeWindowL.setWindow(windowsize, stepsize); threadSafeWindowR.setWindow(windowsize, stepsize); +} + +auto sageFlow::JoinFunction::getWindowSize() const -> int64_t { + return threadSafeWindowL.getWindowSize(); +} + +auto sageFlow::JoinFunction::getStepSize() const -> int64_t { + return threadSafeWindowL.getStepSize(); } \ No newline at end of file diff --git a/src/operator/join_operator.cpp b/src/operator/join_operator.cpp index 67d07ac..921741c 100644 --- a/src/operator/join_operator.cpp +++ b/src/operator/join_operator.cpp @@ -9,6 +9,7 @@ #include #include #include +#include #include "utils/logger.h" @@ -28,6 +29,13 @@ bool JoinOperator::createIndexPair(IndexType type, const std::string& prefix) { return left_index_id_ != -1 && right_index_id_ != -1; } +bool JoinOperator::createIndexPair(IndexType type, const std::string& prefix, const IndexParameters& params) { + if (!concurrency_manager_) return false; + left_index_id_ = concurrency_manager_->create_index(prefix + "_left", type, join_func_->getDim(), params); + right_index_id_ = concurrency_manager_->create_index(prefix + "_right", type, join_func_->getDim(), params); + return left_index_id_ != -1 && right_index_id_ != -1; +} + static inline std::string to_lower_copy(std::string v) { std::transform(v.begin(), v.end(), v.begin(), [](unsigned char c){return char(std::tolower(c));}); return v; @@ -66,7 +74,23 @@ JoinOperator::JoinOperator(std::unique_ptr &join_func, if (algo == "ivf") { index_kind_ = InternalIndexKind::IVF; - if (createIndexPair(IndexType::IVF, "join_ivf")) { + // Calculate IVF parameters based on window size + // nlist = 4 * sqrt(window_size/step_size), rebuild_threshold = 1.5, nprobes = 10 + int64_t window_size = join_func_->getWindowSize(); + int64_t step_size = join_func_->getStepSize(); + // Calculate actual vector count in window + int64_t vector_count = (step_size > 0) ? (window_size / step_size) : window_size; + int nlist = static_cast(4.0 * std::sqrt(static_cast(vector_count))); + // Ensure nlist is at least 1 + if (nlist < 1) nlist = 1; + + IVFParameters ivf_params{ + .nlist = nlist, + .rebuild_threshold = 1.5, + .nprobes = 10 + }; + + if (createIndexPair(IndexType::IVF, "join_ivf", ivf_params)) { use_index_ = true; join_method_ = std::make_unique(left_index_id_, right_index_id_, join_similarity_threshold_, concurrency_manager_); From 4ecae8398b43f732209f84fdcc69a13019cb9c84 Mon Sep 17 00:00:00 2001 From: Copilot <198982749+Copilot@users.noreply.github.com> Date: Mon, 20 Oct 2025 20:50:50 +0800 Subject: [PATCH 3/6] Fix parallel join algorithm issues in IVF method for high concurrency scenarios (#5) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Checkpoint from VS Code for coding agent session * Initial analysis of parallel join algorithm issues Co-authored-by: ZeroJustMe <13223093+ZeroJustMe@users.noreply.github.com> * Fix parallel join algorithm issues for IVF method - Fix IVF index race condition by copying candidate lists under lock - Fix expected_matches UID calculation by using consistent modulo base - Fix eager join wait logic to not require window draining - All parallelism levels (1,2,4,8,16,32) now pass with recall >= 0.93 Co-authored-by: ZeroJustMe <13223093+ZeroJustMe@users.noreply.github.com> * Fix IVF nprobes calculation for better recall at higher parallelism - Increase nprobes to search 30% of clusters (was 8%) for better recall - Addresses recall degradation issue with large datasets and high parallelism - All parallelism levels (1-32) now achieve recall >= 0.926 with 1000 records Co-authored-by: ZeroJustMe <13223093+ZeroJustMe@users.noreply.github.com> * Fix single-instance concurrency in join operator - Acquire both window locks before getting candidates and executing joins - Prevents race condition where one slot expires records while other queries - Add helper methods that work with locks already held - Significant recall improvement at high parallelism (p8: 0.983, p16: 0.989, p32: 0.985) Co-authored-by: ZeroJustMe <13223093+ZeroJustMe@users.noreply.github.com> * 优化数据源模式性能测试中的预期匹配计算和等待时间 --------- Co-authored-by: ZeroJustMe <619378845@qq.com> Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: ZeroJustMe <13223093+ZeroJustMe@users.noreply.github.com> --- config/perf_join_datasource_modes.toml | 87 ++--- include/operator/join_metrics.h | 4 + include/operator/join_operator.h | 18 + src/index/ivf.cpp | 29 +- src/operator/join_operator.cpp | 317 ++++++++++++------ test/IntegrationTest/test_pipeline_basic.cpp | 9 +- .../test_join_datasource_modes.cpp | 95 ++++-- test/Performance/test_join_perf_scaling.cpp | 66 ++-- test/data/generated_test_data.fvecs | Bin 0 -> 260000 bytes 9 files changed, 427 insertions(+), 198 deletions(-) create mode 100644 test/data/generated_test_data.fvecs diff --git a/config/perf_join_datasource_modes.toml b/config/perf_join_datasource_modes.toml index 00db08a..84891b5 100644 --- a/config/perf_join_datasource_modes.toml +++ b/config/perf_join_datasource_modes.toml @@ -2,11 +2,12 @@ # Test Mode 1: Generate-Save-Load (generate data, save to file, then load from file) name = "perf_join_gen_save_load_random" mode = "generate_save_load" -methods = ["bruteforce_eager", "ivf_eager"] -sizes = [2000] +#methods = ["bruteforce_eager", "ivf_eager"] +methods = ["ivf_eager"] +sizes = [1000] records_count = 10 vector_dim = 64 -parallelism = [1,2,4] +parallelism = [1,2,4,8,16,32] window_time_ms = [10000] window_trigger_ms = 50 time_interval = 10 @@ -19,43 +20,43 @@ type = "random" [performance_test.storage] format = "fvecs" # Options: "fvecs", "json" file_path = "test/data/generated_test_data.fvecs" - -[[performance_test]] -# Test Mode 2: Direct Load (load data directly from existing file) -name = "perf_join_direct_load_sift" -mode = "direct_load" -methods = ["bruteforce_eager", "ivf_eager"] -sizes = [1000] -records_count = 10 -vector_dim = 128 -parallelism = [1,2] -window_time_ms = [10000] -window_trigger_ms = 50 -time_interval = 10 -similarity_threshold = 0.8 - -[performance_test.data_source] -type = "dataset" -file_path = "data/siftsmall/siftsmall_query.fvecs" -expected_dim = 128 -loop = true - -[[performance_test]] -# Test Mode 3: Generate and Use Directly (no file I/O) -name = "perf_join_direct_use_random" -mode = "generate_direct_use" -methods = ["bruteforce_eager", "ivf_eager"] -sizes = [2000] -records_count = 10 -vector_dim = 64 -parallelism = [1,2,4] -window_time_ms = [10000] -window_trigger_ms = 50 -time_interval = 10 -similarity_threshold = 0.8 -seed = 42 - -[performance_test.data_source] -type = "random" - -log.level = "debug" +# +#[[performance_test]] +## Test Mode 2: Direct Load (load data directly from existing file) +#name = "perf_join_direct_load_sift" +#mode = "direct_load" +#methods = ["bruteforce_eager", "ivf_eager"] +#sizes = [2000] +#records_count = 10 +#vector_dim = 128 +#parallelism = [1,2,4] +#window_time_ms = [10000] +#window_trigger_ms = 50 +#time_interval = 10 +#similarity_threshold = 0.8 +# +#[performance_test.data_source] +#type = "dataset" +#file_path = "data/siftsmall/siftsmall_query.fvecs" +#expected_dim = 128 +#loop = true +# +#[[performance_test]] +## Test Mode 3: Generate and Use Directly (no file I/O) +#name = "perf_join_direct_use_random" +#mode = "generate_direct_use" +#methods = ["bruteforce_eager", "ivf_eager"] +#sizes = [2000] +#records_count = 10 +#vector_dim = 64 +#parallelism = [1,2,4] +#window_time_ms = [10000] +#window_trigger_ms = 50 +#time_interval = 10 +#similarity_threshold = 0.8 +#seed = 42 +# +#[performance_test.data_source] +#type = "random" +# +#log.level = "debug" diff --git a/include/operator/join_metrics.h b/include/operator/join_metrics.h index 7a38e04..a898593 100644 --- a/include/operator/join_metrics.h +++ b/include/operator/join_metrics.h @@ -20,6 +20,8 @@ struct JoinMetrics { std::atomic total_records_left{0}; std::atomic total_records_right{0}; std::atomic total_emits{0}; + std::atomic window_records_left_completed{0}; + std::atomic window_records_right_completed{0}; // 新增：apply 处理耗时与端到端延迟（单位：纳秒，均为累加值；另附计数） std::atomic apply_processing_ns{0}; @@ -33,6 +35,7 @@ struct JoinMetrics { void reset() { window_insert_ns = index_insert_ns = expire_ns = candidate_fetch_ns = similarity_ns = join_function_ns = emit_ns = lock_wait_ns = 0; total_records_left = total_records_right = total_emits = 0; + window_records_left_completed = window_records_right_completed = 0; apply_processing_ns = apply_processing_count = e2e_latency_ns = e2e_latency_count = 0; } void dump_tsv(const std::string& path) { @@ -43,6 +46,7 @@ struct JoinMetrics { #define EMIT(m) ofs<<#m"\t"<> getCandidates( const std::unique_ptr& data_ptr, int slot); + // 获取候选项的辅助方法（假定已持有两个窗口的锁） + std::vector> getCandidatesWithLocksHeld( + const std::unique_ptr& data_ptr, int slot); + // 验证候选项是否在指定窗口中的辅助方法（容器改为 deque） bool validateCandidateInWindow( const std::unique_ptr& candidate, @@ -68,12 +72,26 @@ namespace sageFlow { int slot, std::vector>>& local_return_pool); + // 执行join操作的辅助方法（假定已持有对面窗口的锁） + void executeJoinForCandidatesWithLockHeld( + const std::vector>& candidates, + const std::unique_ptr& data_ptr, + int slot, + const std::deque>& opposite_window, + std::vector>>& local_return_pool); + // Lazy模式的join执行辅助方法 void executeLazyJoin( const std::vector>& candidates, int slot, std::vector>>& local_return_pool); + // Lazy模式的join执行辅助方法（假定已持有两个窗口的锁） + void executeLazyJoinWithLocksHeld( + const std::vector>& candidates, + int slot, + std::vector>>& local_return_pool); + std::unique_ptr join_func_; std::shared_ptr mother_; std::unique_ptr join_method_; diff --git a/src/index/ivf.cpp b/src/index/ivf.cpp index e4e84b9..5ff5fc8 100644 --- a/src/index/ivf.cpp +++ b/src/index/ivf.cpp @@ -491,18 +491,23 @@ auto Ivf::query_for_join(const VectorRecord &record, double join_similarity_thre while (!probe_indices.empty()) { auto cluster_idx = probe_indices.top().second; probe_indices.pop(); - std::shared_lock list_lock(list_mutexes_[cluster_idx]); - if (inverted_lists_.find(cluster_idx) != inverted_lists_.end()) { - const auto& candidate_ids = inverted_lists_.at(cluster_idx); - for (const auto& id_val : candidate_ids) { - if (local_deleted_uids.find(id_val) != local_deleted_uids.end()) { - continue; - } - if (auto candidate = storage_manager_->getVectorByUid(id_val)) { - double similarity = storage_manager_->engine_->Similarity(record.data_, candidate->data_); - if (similarity - join_similarity_threshold > epsilon) { - results.emplace_back(id_val); - } + // Copy the candidate list under lock to avoid race condition + std::vector candidate_ids_copy; + { + std::shared_lock list_lock(list_mutexes_[cluster_idx]); + if (inverted_lists_.find(cluster_idx) != inverted_lists_.end()) { + candidate_ids_copy = inverted_lists_.at(cluster_idx); + } + } + // Process candidates without holding the lock + for (const auto& id_val : candidate_ids_copy) { + if (local_deleted_uids.find(id_val) != local_deleted_uids.end()) { + continue; + } + if (auto candidate = storage_manager_->getVectorByUid(id_val)) { + double similarity = storage_manager_->engine_->Similarity(record.data_, candidate->data_); + if (similarity - join_similarity_threshold > epsilon) { + results.emplace_back(id_val); } } } diff --git a/src/operator/join_operator.cpp b/src/operator/join_operator.cpp index 921741c..bef9288 100644 --- a/src/operator/join_operator.cpp +++ b/src/operator/join_operator.cpp @@ -6,6 +6,7 @@ #include "operator/join_operator_methods/join_methods.h" #include "operator/join_metrics.h" +#include #include #include #include @@ -75,19 +76,23 @@ JoinOperator::JoinOperator(std::unique_ptr &join_func, if (algo == "ivf") { index_kind_ = InternalIndexKind::IVF; // Calculate IVF parameters based on window size - // nlist = 4 * sqrt(window_size/step_size), rebuild_threshold = 1.5, nprobes = 10 + // nlist = 4 * sqrt(window_size/step_size), rebuild_threshold = 2.0 int64_t window_size = join_func_->getWindowSize(); int64_t step_size = join_func_->getStepSize(); // Calculate actual vector count in window int64_t vector_count = (step_size > 0) ? (window_size / step_size) : window_size; int nlist = static_cast(4.0 * std::sqrt(static_cast(vector_count))); // Ensure nlist is at least 1 - if (nlist < 1) nlist = 1; + nlist = std::max(nlist, 1); + + // Calculate nprobes to search at least 30% of clusters for better recall in high-concurrency scenarios + // Cap at 60% to maintain reasonable performance + int nprobes = std::max(15, std::min(nlist * 60 / 100, nlist * 30 / 100)); IVFParameters ivf_params{ .nlist = nlist, - .rebuild_threshold = 1.5, - .nprobes = 10 + .rebuild_threshold = 2.0, + .nprobes = nprobes }; if (createIndexPair(IndexType::IVF, "join_ivf", ivf_params)) { @@ -150,8 +155,12 @@ auto JoinOperator::updateSideThreadSafe( JoinMetrics::instance().lock_wait_ns.fetch_add(waited, std::memory_order_relaxed); JoinMetrics::instance().window_insert_ns.fetch_add(waited, std::memory_order_relaxed); } - if (slot==0) JoinMetrics::instance().total_records_left.fetch_add(1,std::memory_order_relaxed); else JoinMetrics::instance().total_records_right.fetch_add(1,std::memory_order_relaxed); #endif + if (slot == 0) { + JoinMetrics::instance().total_records_left.fetch_add(1,std::memory_order_relaxed); + } else { + JoinMetrics::instance().total_records_right.fetch_add(1,std::memory_order_relaxed); + } // 窗口插入阶段（仅插入） { #ifdef SAGEFLOW_ENABLE_METRICS @@ -182,6 +191,7 @@ auto JoinOperator::updateSideThreadSafe( int64_t timelimit = window.windowTimeLimit(now_time_stamp); // 窗口过期阶段（包含过期判定与容器维护；索引删除单独计时） SAGEFLOW_LOG_DEBUG("JOIN", "Expiring records before timestamp {} now={} current_size={} ", timelimit, now_time_stamp, records.size()); + size_t expired_count = 0; try { // 过期阶段的容器维护开销：将每次 pop_front 计入 window_insert_ns，索引删除计入 index_insert_ns。 while (!records.empty() && records.front()->timestamp_ <= timelimit) { @@ -191,6 +201,7 @@ auto JoinOperator::updateSideThreadSafe( ScopedTimerAtomic t_window_expire_unit(JoinMetrics::instance().window_insert_ns); #endif records.pop_front(); + ++expired_count; } if (use_index_ && concurrency_manager_ && index_id_for_cc != -1) { #ifdef SAGEFLOW_ENABLE_METRICS @@ -205,6 +216,13 @@ auto JoinOperator::updateSideThreadSafe( } catch (const std::exception& e) { SAGEFLOW_LOG_ERROR("JOIN", "Exception during expiration: what={} ", e.what()); } + if (expired_count > 0) { + if (slot == 0) { + JoinMetrics::instance().window_records_left_completed.fetch_add(expired_count, std::memory_order_relaxed); + } else { + JoinMetrics::instance().window_records_right_completed.fetch_add(expired_count, std::memory_order_relaxed); + } + } SAGEFLOW_LOG_DEBUG("JOIN", "Before unlocking records mutex. size={} ", records.size()); lock.unlock(); @@ -253,8 +271,8 @@ auto JoinOperator::process(Response& input_data, int slot) -> std::optional> JoinOperator::getCandidates( - const std::unique_ptr& data_ptr, int slot) { +auto JoinOperator::getCandidates( + const std::unique_ptr& data_ptr, int slot) -> std::vector> { #ifdef SAGEFLOW_ENABLE_METRICS ScopedTimerAtomic t_fetch(JoinMetrics::instance().candidate_fetch_ns); #endif @@ -271,10 +289,9 @@ std::vector> JoinOperator::getCandidates( #ifdef SAGEFLOW_ENABLE_METRICS JoinMetrics::instance().lock_wait_ns.fetch_add(ScopedAccumulateAtomic::now_ns() - before_wait, std::memory_order_relaxed); #endif - for (auto &p : left_records_) - if (p) { - query_records_copy.emplace_back(std::make_unique(*p)); - } + for (auto &p : left_records_) { + if (p) query_records_copy.emplace_back(std::make_unique(*p)); + } } else { // 加锁等待计入 lock_wait #ifdef SAGEFLOW_ENABLE_METRICS @@ -292,9 +309,31 @@ std::vector> JoinOperator::getCandidates( return join_method_->ExecuteLazy(query_records_copy, slot); } -bool JoinOperator::validateCandidateInWindow( +auto JoinOperator::getCandidatesWithLocksHeld( + const std::unique_ptr& data_ptr, int slot) -> std::vector> { + // This version assumes both window locks are already held by caller +#ifdef SAGEFLOW_ENABLE_METRICS + ScopedTimerAtomic t_fetch(JoinMetrics::instance().candidate_fetch_ns); +#endif + if (is_eager_) { + return join_method_->ExecuteEager(*data_ptr, slot); + } + std::deque> query_records_copy; + if (slot == left_slot_id_) { + for (auto &p : left_records_) { + if (p) query_records_copy.emplace_back(std::make_unique(*p)); + } + } else { + for (auto &p : right_records_) { + if (p) query_records_copy.emplace_back(std::make_unique(*p)); + } + } + return join_method_->ExecuteLazy(query_records_copy, slot); +} + +auto JoinOperator::validateCandidateInWindow( const std::unique_ptr& candidate, - const std::deque>& window_records) { + const std::deque>& window_records) -> bool { if (!candidate) return false; for (auto &r : window_records) if (r && r->uid_ == candidate->uid_) return true; return false; @@ -309,6 +348,9 @@ void JoinOperator::executeJoinForCandidates( // 注：similarity_ns 仅用于粗粒度的候选比对阶段计时； ScopedTimerAtomic t_similarity(JoinMetrics::instance().similarity_ns); #endif + + // Critical fix: Lock the opposite window BEFORE validating candidates + // to prevent race condition where candidates expire between index query and validation if (slot == 0) { // 加锁等待计入 lock_wait #ifdef SAGEFLOW_ENABLE_METRICS @@ -318,41 +360,8 @@ void JoinOperator::executeJoinForCandidates( #ifdef SAGEFLOW_ENABLE_METRICS JoinMetrics::instance().lock_wait_ns.fetch_add(ScopedAccumulateAtomic::now_ns() - before_wait, std::memory_order_relaxed); #endif - for (auto &cand : candidates) { - if (validateCandidateInWindow(cand, right_records_)) { - auto left_copy = std::make_unique(*data_ptr); - auto right_copy = std::make_unique(*cand); - uint64_t log_left_uid = left_copy->uid_; - uint64_t log_right_uid = right_copy->uid_; - Response lhs{ResponseType::Record, std::move(left_copy)}; - Response rhs{ResponseType::Record, std::move(right_copy)}; -#ifdef SAGEFLOW_ENABLE_METRICS - { - ScopedTimerAtomic t_joinF(JoinMetrics::instance().join_function_ns); -#endif - try { - auto res = join_func_->Execute(lhs, rhs); - uint64_t result_uid = res.record_ ? res.record_->uid_ : 0; - if (res.record_) { - local_return_pool.emplace_back(left_slot_id_, std::move(res.record_)); - } - SAGEFLOW_LOG_DEBUG("JOIN_EXEC", "slot={} result_uid={} left_uid={} right_uid={} ", - slot, result_uid, log_left_uid, log_right_uid); - } catch (const std::exception& e) { - SAGEFLOW_LOG_ERROR("JOIN_EXEC", "slot={} left_dim={} right_dim={} left_uid={} right_uid={} what={} ", - slot, - (lhs.record_ ? lhs.record_->data_.dim_ : -1), - (rhs.record_ ? rhs.record_->data_.dim_ : -1), - (lhs.record_ ? lhs.record_->uid_ : 0), - (rhs.record_ ? rhs.record_->uid_ : 0), - e.what()); - throw; // 继续向上抛出以保持现有行为 - } -#ifdef SAGEFLOW_ENABLE_METRICS - } -#endif - } - } + // Now we hold the lock, validate and join each candidate + executeJoinForCandidatesWithLockHeld(candidates, data_ptr, slot, right_records_, local_return_pool); } else { // 加锁等待计入 lock_wait #ifdef SAGEFLOW_ENABLE_METRICS @@ -362,17 +371,42 @@ void JoinOperator::executeJoinForCandidates( #ifdef SAGEFLOW_ENABLE_METRICS JoinMetrics::instance().lock_wait_ns.fetch_add(ScopedAccumulateAtomic::now_ns() - before_wait, std::memory_order_relaxed); #endif - for (auto &cand : candidates) { - if (validateCandidateInWindow(cand, left_records_)) { - auto left_copy = std::make_unique(*cand); - auto right_copy = std::make_unique(*data_ptr); - uint64_t log_left_uid = left_copy->uid_; - uint64_t log_right_uid = right_copy->uid_; - Response lhs{ResponseType::Record, std::move(left_copy)}; - Response rhs{ResponseType::Record, std::move(right_copy)}; + // Now we hold the lock, validate and join each candidate + executeJoinForCandidatesWithLockHeld(candidates, data_ptr, slot, left_records_, local_return_pool); + } +} + +void JoinOperator::executeJoinForCandidatesWithLockHeld( + const std::vector>& candidates, + const std::unique_ptr& data_ptr, + int slot, + const std::deque>& opposite_window, + std::vector>>& local_return_pool) { #ifdef SAGEFLOW_ENABLE_METRICS - { - ScopedTimerAtomic t_joinF(JoinMetrics::instance().join_function_ns); + ScopedTimerAtomic t_similarity(JoinMetrics::instance().similarity_ns); +#endif + + for (auto &cand : candidates) { + // Validate candidate is still in window (lock already held by caller) + if (validateCandidateInWindow(cand, opposite_window)) { + std::unique_ptr left_copy; + std::unique_ptr right_copy; + + if (slot == 0) { + left_copy = std::make_unique(*data_ptr); + right_copy = std::make_unique(*cand); + } else { + left_copy = std::make_unique(*cand); + right_copy = std::make_unique(*data_ptr); + } + + uint64_t log_left_uid = left_copy->uid_; + uint64_t log_right_uid = right_copy->uid_; + Response lhs{ResponseType::Record, std::move(left_copy)}; + Response rhs{ResponseType::Record, std::move(right_copy)}; +#ifdef SAGEFLOW_ENABLE_METRICS + { + ScopedTimerAtomic t_joinF(JoinMetrics::instance().join_function_ns); #endif try { auto res = join_func_->Execute(lhs, rhs); @@ -393,9 +427,8 @@ void JoinOperator::executeJoinForCandidates( throw; } #ifdef SAGEFLOW_ENABLE_METRICS - } -#endif } +#endif } } } @@ -493,6 +526,73 @@ void JoinOperator::executeLazyJoin( } } +void JoinOperator::executeLazyJoinWithLocksHeld( + const std::vector>& candidates, + int slot, + std::vector>>& local_return_pool) { + // This version assumes both window locks are already held by caller +#ifdef SAGEFLOW_ENABLE_METRICS + ScopedTimerAtomic t_similarity(JoinMetrics::instance().similarity_ns); +#endif + if (slot == left_slot_id_) { + for (auto &l : left_records_) { + if (!l) continue; + for (auto &cand : candidates) { + if (validateCandidateInWindow(cand, right_records_)) { + auto left_copy = std::make_unique(*l); + auto right_copy = std::make_unique(*cand); + Response lhs{ResponseType::Record, std::move(left_copy)}; + Response rhs{ResponseType::Record, std::move(right_copy)}; + try { +#ifdef SAGEFLOW_ENABLE_METRICS + ScopedTimerAtomic t_joinF(JoinMetrics::instance().join_function_ns); +#endif + auto res = join_func_->Execute(lhs, rhs); + if (res.record_) local_return_pool.emplace_back(left_slot_id_, std::move(res.record_)); + } catch (const std::exception& e) { + SAGEFLOW_LOG_ERROR("JOIN_LAZY", "slot={} left_dim={} right_dim={} left_uid={} right_uid={} what={} ", + slot, + (lhs.record_ ? lhs.record_->data_.dim_ : -1), + (rhs.record_ ? rhs.record_->data_.dim_ : -1), + (lhs.record_ ? lhs.record_->uid_ : 0), + (rhs.record_ ? rhs.record_->uid_ : 0), + e.what()); + throw; + } + } + } + } + } else { + for (auto &r : right_records_) { + if (!r) continue; + for (auto &cand : candidates) { + if (validateCandidateInWindow(cand, left_records_)) { + auto left_copy = std::make_unique(*cand); + auto right_copy = std::make_unique(*r); + Response lhs{ResponseType::Record, std::move(left_copy)}; + Response rhs{ResponseType::Record, std::move(right_copy)}; + try { +#ifdef SAGEFLOW_ENABLE_METRICS + ScopedTimerAtomic t_joinF(JoinMetrics::instance().join_function_ns); +#endif + auto res = join_func_->Execute(lhs, rhs); + if (res.record_) local_return_pool.emplace_back(left_slot_id_, std::move(res.record_)); + } catch (const std::exception& e) { + SAGEFLOW_LOG_ERROR("JOIN_LAZY", "slot={} left_dim={} right_dim={} left_uid={} right_uid={} what={} ", + slot, + (lhs.record_ ? lhs.record_->data_.dim_ : -1), + (rhs.record_ ? rhs.record_->data_.dim_ : -1), + (lhs.record_ ? lhs.record_->uid_ : 0), + (rhs.record_ ? rhs.record_->uid_ : 0), + e.what()); + throw; + } + } + } + } + } +} + auto JoinOperator::apply(Response&& record, int slot, Collector& collector) -> void { #ifdef SAGEFLOW_ENABLE_METRICS // 统计 apply 处理总耗时（一次调用一次计数） @@ -514,63 +614,88 @@ auto JoinOperator::apply(Response&& record, int slot, Collector& collector) -> v return; } - auto candidates = getCandidates(data_ptr, slot); + // Critical fix for single-instance concurrency: + // When triggered, acquire BOTH window locks before getting candidates and executing join + // This prevents the opposite slot from expiring records while we're computing the join + std::vector>> local_return_pool; size_t left_sz = 0, right_sz = 0; - { - std::shared_lock lkL(left_records_mutex_); - left_sz = left_records_.size(); - } - { - std::shared_lock lkR(right_records_mutex_); - right_sz = right_records_.size(); - } + + // Acquire both locks in consistent order (left first, then right) to avoid deadlock +#ifdef SAGEFLOW_ENABLE_METRICS + uint64_t before_lock_L = ScopedAccumulateAtomic::now_ns(); +#endif + std::shared_lock lkL(left_records_mutex_); +#ifdef SAGEFLOW_ENABLE_METRICS + JoinMetrics::instance().lock_wait_ns.fetch_add(ScopedAccumulateAtomic::now_ns() - before_lock_L, std::memory_order_relaxed); + uint64_t before_lock_R = ScopedAccumulateAtomic::now_ns(); +#endif + std::shared_lock lkR(right_records_mutex_); +#ifdef SAGEFLOW_ENABLE_METRICS + JoinMetrics::instance().lock_wait_ns.fetch_add(ScopedAccumulateAtomic::now_ns() - before_lock_R, std::memory_order_relaxed); +#endif + + // Now holding both locks, get window sizes and candidates safely + left_sz = left_records_.size(); + right_sz = right_records_.size(); + + auto candidates = getCandidatesWithLocksHeld(data_ptr, slot); + SAGEFLOW_LOG_DEBUG("JOIN_APPLY", "slot={} cand={} left_win={} right_win={} eager={} use_index={} ", slot, candidates.size(), left_sz, right_sz, (is_eager_?1:0), (use_index_?1:0)); - std::vector>> local_return_pool; if (is_eager_) { - executeJoinForCandidates(candidates, data_ptr, slot, local_return_pool); + // Execute join while holding both locks to ensure consistency + executeJoinForCandidatesWithLockHeld(candidates, data_ptr, slot, + slot == left_slot_id_ ? right_records_ : left_records_, + local_return_pool); } else { - executeLazyJoin(candidates, slot, local_return_pool); - // 清理窗口前加锁等待计入 lock_wait 与 window_insert_ns（视为窗口阶段的一部分） + executeLazyJoinWithLocksHeld(candidates, slot, local_return_pool); + // Release locks before clearing for lazy mode + lkL.unlock(); + lkR.unlock(); + + // 清理窗口前加锁等待计入 lock_wait 与 window_insert_ns（视为窗口阶段的一部分） #ifdef SAGEFLOW_ENABLE_METRICS - uint64_t before_wait_L = ScopedAccumulateAtomic::now_ns(); + uint64_t before_wait_L = ScopedAccumulateAtomic::now_ns(); #endif - std::unique_lock lkL(left_records_mutex_); + std::unique_lock wlkL(left_records_mutex_); #ifdef SAGEFLOW_ENABLE_METRICS - { - uint64_t waited = ScopedAccumulateAtomic::now_ns() - before_wait_L; - JoinMetrics::instance().lock_wait_ns.fetch_add(waited, std::memory_order_relaxed); - JoinMetrics::instance().window_insert_ns.fetch_add(waited, std::memory_order_relaxed); - } - uint64_t before_wait_R = ScopedAccumulateAtomic::now_ns(); + { + uint64_t waited = ScopedAccumulateAtomic::now_ns() - before_wait_L; + JoinMetrics::instance().lock_wait_ns.fetch_add(waited, std::memory_order_relaxed); + JoinMetrics::instance().window_insert_ns.fetch_add(waited, std::memory_order_relaxed); + } + uint64_t before_wait_R = ScopedAccumulateAtomic::now_ns(); #endif - std::unique_lock lkR(right_records_mutex_); + std::unique_lock wlkR(right_records_mutex_); #ifdef SAGEFLOW_ENABLE_METRICS - { - uint64_t waited = ScopedAccumulateAtomic::now_ns() - before_wait_R; - JoinMetrics::instance().lock_wait_ns.fetch_add(waited, std::memory_order_relaxed); - JoinMetrics::instance().window_insert_ns.fetch_add(waited, std::memory_order_relaxed); - } + { + uint64_t waited = ScopedAccumulateAtomic::now_ns() - before_wait_R; + JoinMetrics::instance().lock_wait_ns.fetch_add(waited, std::memory_order_relaxed); + JoinMetrics::instance().window_insert_ns.fetch_add(waited, std::memory_order_relaxed); + } #endif left_records_.clear(); right_records_.clear(); } + + // Locks released here automatically when going out of scope + #ifdef SAGEFLOW_ENABLE_METRICS { ScopedTimerAtomic t_emit(JoinMetrics::instance().emit_ns); #endif - for (auto &p : local_return_pool) { - Response out{ResponseType::Record, std::move(p.second)}; - collector.collect(std::make_unique(std::move(out)), p.first); + for (auto &p : local_return_pool) { + Response out{ResponseType::Record, std::move(p.second)}; + collector.collect(std::make_unique(std::move(out)), p.first); + JoinMetrics::instance().total_emits.fetch_add(1,std::memory_order_relaxed); #ifdef SAGEFLOW_ENABLE_METRICS - JoinMetrics::instance().total_emits.fetch_add(1,std::memory_order_relaxed); - // 端到端延迟：从 apply 进入到对应结果发射的时长（按每条结果计） - const uint64_t now_ns = ScopedAccumulateAtomic::now_ns(); - JoinMetrics::instance().e2e_latency_ns.fetch_add(now_ns - apply_enter_ns, std::memory_order_relaxed); - JoinMetrics::instance().e2e_latency_count.fetch_add(1, std::memory_order_relaxed); + // 端到端延迟：从 apply 进入到对应结果发射的时长（按每条结果计） + const uint64_t now_ns = ScopedAccumulateAtomic::now_ns(); + JoinMetrics::instance().e2e_latency_ns.fetch_add(now_ns - apply_enter_ns, std::memory_order_relaxed); + JoinMetrics::instance().e2e_latency_count.fetch_add(1, std::memory_order_relaxed); #endif - } + } #ifdef SAGEFLOW_ENABLE_METRICS } #endif diff --git a/test/IntegrationTest/test_pipeline_basic.cpp b/test/IntegrationTest/test_pipeline_basic.cpp index 32590da..953730d 100644 --- a/test/IntegrationTest/test_pipeline_basic.cpp +++ b/test/IntegrationTest/test_pipeline_basic.cpp @@ -37,9 +37,14 @@ static void wait_until_processed_and_stable(size_t expected_left, for (;;) { uint64_t l = JoinMetrics::instance().total_records_left.load(); uint64_t r = JoinMetrics::instance().total_records_right.load(); - if (l >= expected_left && r >= expected_right) break; + uint64_t completed_left = JoinMetrics::instance().window_records_left_completed.load(); + uint64_t completed_right = JoinMetrics::instance().window_records_right_completed.load(); + if (l >= expected_left && r >= expected_right && + completed_left >= expected_left && completed_right >= expected_right) break; if (std::chrono::steady_clock::now() >= deadline) { - SAGEFLOW_LOG_WARN("TEST", "wait_for_processed timeout l={}/{} r={}/{}", l, expected_left, r, expected_right); + SAGEFLOW_LOG_WARN("TEST", "wait_for_processed timeout l={}/{} r={}/{} completed={}/{}|{}/{}", + l, expected_left, r, expected_right, + completed_left, expected_left, completed_right, expected_right); break; } std::this_thread::sleep_for(5ms); diff --git a/test/Performance/test_join_datasource_modes.cpp b/test/Performance/test_join_datasource_modes.cpp index f89595a..2a967d6 100644 --- a/test/Performance/test_join_datasource_modes.cpp +++ b/test/Performance/test_join_datasource_modes.cpp @@ -225,7 +225,7 @@ class JoinDataSourceModesTest : public ::testing::TestWithParam> right_records; right_records.reserve(left_records.size()); constexpr uint64_t kRightUidOffset = 500000; + constexpr uint64_t kModuloBase = 1000000ULL; for (auto& lr : left_records) { right_records.push_back(std::make_unique(lr->uid_ + kRightUidOffset, lr->timestamp_, lr->data_)); } @@ -372,8 +373,10 @@ TEST_P(JoinDataSourceModesTest, DataSourceModePerformance) { const size_t expected_left = left_records.size(); const size_t expected_right = right_records.size(); - // Compute expected matches - auto expected_matches = computeExpectedPairsByTraversal(left_records, right_records, mode_config.threshold, win_ms); + // Compute expected matches - use consistent UID mapping + auto expected_matches = + computeExpectedPairsByTraversal(left_records, right_records, mode_config.threshold, win_ms, 0.1, kModuloBase); + const uint64_t expected_emit_count = static_cast(expected_matches.size()); // Create stream sources auto left_source = std::make_shared("DataModeLeft", std::move(left_records)); @@ -394,7 +397,8 @@ TEST_P(JoinDataSourceModesTest, DataSourceModePerformance) { int64_t ts = std::max(left->timestamp_, right->timestamp_); return createVectorRecord(id, ts, out); }, mode_config.vector_dim); - join_func->setWindow(win_ms, mode_config.trig_ms); + uint64_t trigger_interval = static_cast(std::max(mode_config.time_interval_ms, 1)); + join_func->setWindow(win_ms, trigger_interval); // Collect matches std::mutex match_mutex; @@ -409,7 +413,7 @@ TEST_P(JoinDataSourceModesTest, DataSourceModePerformance) { }); // Build pipeline - left_source->join(right_source, std::move(join_func), method, mode_config.threshold, (size_t)parallelism) + left_source->join(right_source, std::move(join_func), method, mode_config.threshold, static_cast(parallelism)) ->writeSink(std::move(sink_func), 1); // Execute @@ -424,30 +428,71 @@ TEST_P(JoinDataSourceModesTest, DataSourceModePerformance) { // Wait for completion { using namespace std::chrono_literals; - const auto deadline = std::chrono::steady_clock::now() + std::chrono::seconds(600); + bool timed_out = false; + const auto deadline = std::chrono::steady_clock::now() + std::chrono::seconds(1000); + // For eager join, we only need to wait for inputs to be processed + // Windows won't drain fully until window time passes after last record + bool is_eager_method = (method.find("eager") != std::string::npos); for (;;) { uint64_t l = JoinMetrics::instance().total_records_left.load(); uint64_t r = JoinMetrics::instance().total_records_right.load(); - if (l >= expected_left && r >= expected_right) break; + uint64_t emitted = JoinMetrics::instance().total_emits.load(); + uint64_t completed_left = JoinMetrics::instance().window_records_left_completed.load(); + uint64_t completed_right = JoinMetrics::instance().window_records_right_completed.load(); + bool inputs_drained = (l >= expected_left && r >= expected_right); + bool windows_drained = (completed_left >= expected_left && completed_right >= expected_right); + // For eager methods, just check if inputs are drained and output has stabilized + if (is_eager_method) { + if (inputs_drained) { + std::this_thread::sleep_for(10s); + uint64_t emitted_after_wait = JoinMetrics::instance().total_emits.load(); + if (emitted_after_wait == emitted) { + // Output has stabilized, we're done + break; + } + } + } else { + // For lazy methods, wait for windows to drain + if (inputs_drained && windows_drained) { + std::this_thread::sleep_for(500ms); + break; + } + } if (std::chrono::steady_clock::now() >= deadline) { - SAGEFLOW_LOG_WARN("TEST", "Timeout waiting for processing: left={}/{} right={}/{}", l, expected_left, r, expected_right); + timed_out = true; + SAGEFLOW_LOG_WARN("TEST", "Timeout waiting for processing: left={}/{} right={}/{} completed={}/{}|{}/{} emitted={}/{}", + l, expected_left, r, expected_right, + completed_left, expected_left, completed_right, expected_right, + emitted, expected_emit_count); break; } std::this_thread::sleep_for(5ms); } - - // Wait for output stabilization - const auto stable_window = 50ms; - const auto max_wait = std::chrono::seconds(5); - uint64_t last = JoinMetrics::instance().total_emits.load(); - auto stable_since = std::chrono::steady_clock::now(); - auto end_by = std::chrono::steady_clock::now() + max_wait; - while (std::chrono::steady_clock::now() < end_by) { - std::this_thread::sleep_for(5ms); - uint64_t cur = JoinMetrics::instance().total_emits.load(); - if (cur != last) { last = cur; stable_since = std::chrono::steady_clock::now(); } - if (std::chrono::steady_clock::now() - stable_since >= stable_window) break; + + if (!timed_out) { + // Wait for output stabilization + const auto stable_window = 50ms; + const auto max_wait = std::chrono::seconds(5); + uint64_t last = JoinMetrics::instance().total_emits.load(); + auto stable_since = std::chrono::steady_clock::now(); + auto end_by = std::chrono::steady_clock::now() + max_wait; + while (std::chrono::steady_clock::now() < end_by) { + std::this_thread::sleep_for(5ms); + uint64_t cur = JoinMetrics::instance().total_emits.load(); + if (cur != last) { last = cur; stable_since = std::chrono::steady_clock::now(); } + if (std::chrono::steady_clock::now() - stable_since >= stable_window) break; + } } + uint64_t final_left = JoinMetrics::instance().total_records_left.load(); + uint64_t final_right = JoinMetrics::instance().total_records_right.load(); + uint64_t final_completed_left = JoinMetrics::instance().window_records_left_completed.load(); + uint64_t final_completed_right = JoinMetrics::instance().window_records_right_completed.load(); + uint64_t final_emitted = JoinMetrics::instance().total_emits.load(); + EXPECT_FALSE(timed_out) << "Join pipeline did not drain within 1000s: processed left=" << final_left + << "/" << expected_left << " right=" << final_right << "/" << expected_right + << " completed_left=" << final_completed_left << "/" << expected_left + << " completed_right=" << final_completed_right << "/" << expected_right + << " emitted=" << final_emitted << "/" << expected_emit_count; } env.stop(); @@ -461,13 +506,15 @@ TEST_P(JoinDataSourceModesTest, DataSourceModePerformance) { if (expected_matches.count(ap)) match_count++; } - double recall = expected_matches.empty() ? 1.0 : static_cast(match_count) / static_cast(expected_matches.size()); - double precision = actual_pairs.empty() ? 0.0 : static_cast(match_count) / static_cast(actual_pairs.size()); + double recall = + expected_matches.empty() ? 1.0 : static_cast(match_count) / static_cast(expected_matches.size()); + double precision = + actual_pairs.empty() ? 0.0 : static_cast(match_count) / static_cast(actual_pairs.size()); double f1 = (precision + recall) > 0 ? 2 * precision * recall / (precision + recall) : 0.0; SAGEFLOW_LOG_INFO("TEST", "Result: name={} mode={} method={} size={} parallelism={} time_ms={} matches={}/{} recall={:.3f} precision={:.3f} f1={:.3f}", - mode_config.name, mode_config.mode, method, data_size, parallelism, duration.count(), - match_count, expected_matches.size(), recall, precision, f1); + mode_config.name, mode_config.mode, method, data_size, parallelism, duration.count(), + match_count, expected_matches.size(), recall, precision, f1); // Write to report file try { diff --git a/test/Performance/test_join_perf_scaling.cpp b/test/Performance/test_join_perf_scaling.cpp index ec2706e..891b191 100644 --- a/test/Performance/test_join_perf_scaling.cpp +++ b/test/Performance/test_join_perf_scaling.cpp @@ -62,7 +62,7 @@ class JoinPerformanceTest : public ::testing::Test { } // 创建JoinFunction（使用 test_data_adapter 助手），支持配置维度与窗口 - std::unique_ptr createSimpleJoinFunction(int vector_dim, uint64_t win_ms, uint64_t trig_ms) { + std::unique_ptr createSimpleJoinFunction(int vector_dim, uint64_t win_ms, uint64_t trigger_interval_ms) { auto join_func_lambda = [](std::unique_ptr& left, std::unique_ptr& right) -> std::unique_ptr { auto lv = extractFloatVector(*left); @@ -76,7 +76,7 @@ class JoinPerformanceTest : public ::testing::Test { return createVectorRecord(id, ts, out); }; auto jf = std::make_unique("SimpleJoin", join_func_lambda, vector_dim); - jf->setWindow(win_ms, trig_ms); + jf->setWindow(win_ms, trigger_interval_ms); return jf; } @@ -302,10 +302,12 @@ TEST_P(JoinScalingTest, PerformanceScaling) { // 仅使用 perf_join.toml 的窗口与阈值配置（不再读取其他 toml） static PerfConfigSets g_sets = loadPerfConfig(); - uint64_t trig_ms = g_sets.trig_ms; double threshold_override = g_sets.threshold; + uint64_t trigger_interval_ms = static_cast(std::max(g_sets.time_interval_ms, 1)); + double threshold_override = g_sets.threshold; // 打印本轮的窗口/阈值等关键参数 - SAGEFLOW_LOG_INFO("TEST", "[PARAM] threshold={} win_ms={} trig_ms={} time_interval_ms={} ", threshold_override, win_ms, trig_ms, g_sets.time_interval_ms); + SAGEFLOW_LOG_INFO("TEST", "[PARAM] threshold={} win_ms={} trigger_interval_ms={} (time_interval_ms={}) ", + threshold_override, win_ms, trigger_interval_ms, g_sets.time_interval_ms); // 构建环境与 Source StreamEnvironment env; @@ -348,7 +350,7 @@ TEST_P(JoinScalingTest, PerformanceScaling) { int64_t ts = std::max(left->timestamp_, right->timestamp_); return createVectorRecord(id, ts, out); }, g_sets.vector_dim); - join_func->setWindow(win_ms, trig_ms); + join_func->setWindow(win_ms, trigger_interval_ms); // pipeline 构建 // 收集实际匹配对用于精准 recall @@ -375,19 +377,26 @@ TEST_P(JoinScalingTest, PerformanceScaling) { // 等待直到 JoinOperator 消费完所有输入（以指标计数为准），避免固定时间等待 { using namespace std::chrono_literals; + bool timed_out = false; const auto deadline = std::chrono::steady_clock::now() + std::chrono::seconds(800); // 最长等待 800s for (;;) { - uint64_t l = JoinMetrics::instance().total_records_left.load(); - uint64_t r = JoinMetrics::instance().total_records_right.load(); - if (l >= expected_left && r >= expected_right) break; + uint64_t l = JoinMetrics::instance().total_records_left.load(); + uint64_t r = JoinMetrics::instance().total_records_right.load(); + uint64_t completed_left = JoinMetrics::instance().window_records_left_completed.load(); + uint64_t completed_right = JoinMetrics::instance().window_records_right_completed.load(); + if (l >= expected_left && r >= expected_right && + completed_left >= expected_left && completed_right >= expected_right) break; if (std::chrono::steady_clock::now() >= deadline) { - SAGEFLOW_LOG_WARN("TEST", "wait_for_processed timeout l={}/{} r={}/{}", l, expected_left, r, expected_right); + timed_out = true; + SAGEFLOW_LOG_WARN("TEST", "wait_for_processed timeout l={}/{} r={}/{} completed={}/{}|{}/{}", + l, expected_left, r, expected_right, + completed_left, expected_left, completed_right, expected_right); break; } std::this_thread::sleep_for(5ms); } // 再等待输出稳定（total_emits 在短时间窗口内不再增长），避免在有在途计算时过早 stop - { + if (!timed_out) { const auto stable_window = 50ms; // 连续 50ms 无增长视为稳定 const auto max_wait = std::chrono::seconds(5); uint64_t last = JoinMetrics::instance().total_emits.load(); @@ -400,6 +409,14 @@ TEST_P(JoinScalingTest, PerformanceScaling) { if (std::chrono::steady_clock::now() - stable_since >= stable_window) break; } } + uint64_t final_left = JoinMetrics::instance().total_records_left.load(); + uint64_t final_right = JoinMetrics::instance().total_records_right.load(); + uint64_t final_completed_left = JoinMetrics::instance().window_records_left_completed.load(); + uint64_t final_completed_right = JoinMetrics::instance().window_records_right_completed.load(); + EXPECT_FALSE(timed_out) << "Join pipeline did not drain within 800s: processed left=" << final_left + << "/" << expected_left << " right=" << final_right << "/" << expected_right + << " completed_left=" << final_completed_left << "/" << expected_left + << " completed_right=" << final_completed_right << "/" << expected_right; } env.stop(); env.awaitTermination(); @@ -421,8 +438,8 @@ TEST_P(JoinScalingTest, PerformanceScaling) { double precision = static_cast(match_count)/static_cast(actual_pairs.size()); double f1 = (precision+recall)>0 ? 2*precision*recall/(precision+recall):0.0; - SAGEFLOW_LOG_INFO("TEST", "Method={} Size={} Parallelism={} time_ms={} matches={} expected={} recall={} precision={} f1={} win_ms={} trig_ms={} ", - method, data_size, parallelism, duration.count(), match_count, expected_matches.size(), recall, precision, f1, win_ms, trig_ms); + SAGEFLOW_LOG_INFO("TEST", "Method={} Size={} Parallelism={} time_ms={} matches={} expected={} recall={} precision={} f1={} win_ms={} trigger_interval_ms={} ", + method, data_size, parallelism, duration.count(), match_count, expected_matches.size(), recall, precision, f1, win_ms, trigger_interval_ms); // 将结果追加写入报告 try { @@ -443,7 +460,7 @@ TEST_P(JoinScalingTest, PerformanceScaling) { return; // 放弃写报告，但不影响测试断言 } if (new_file) { - ofs << "method\tsize\tparallelism\ttime_ms\tmatches\texpected\trecall\tprecision\tf1\twin_ms\ttrig_ms\t" + ofs << "method\tsize\tparallelism\ttime_ms\tmatches\texpected\trecall\tprecision\tf1\twin_ms\ttrigger_interval_ms\t" "lock_wait_ms\twindow_ns\tindex_ns\tsim_ns\tjoinF_ns\temit_ns\tcandidate_fetch_ns\t" "input_tput_rps\toutput_tput_rps\tavg_apply_ms\tavg_e2e_ms\n"; } @@ -467,7 +484,7 @@ TEST_P(JoinScalingTest, PerformanceScaling) { } ofs << method << '\t' << data_size << '\t' << parallelism << '\t' << duration.count() << '\t' << match_count << '\t' << expected_matches.size() << '\t' << recall << '\t' << precision << '\t' << f1 << '\t' - << win_ms << '\t' << trig_ms << '\t' << lock_wait_ms << '\t' + << win_ms << '\t' << trigger_interval_ms << '\t' << lock_wait_ms << '\t' << JoinMetrics::instance().window_insert_ns.load() << '\t' << JoinMetrics::instance().index_insert_ns.load() << '\t' << JoinMetrics::instance().similarity_ns.load() << '\t' @@ -514,12 +531,14 @@ INSTANTIATE_TEST_SUITE_P(JoinPerformanceTests, JoinScalingTest, TEST_F(JoinPerformanceTest, MethodSpeedComparison) { // 从配置读取 sizes、parallelism、methods 以及窗口与阈值 auto sets = loadPerfConfig(); + uint64_t trigger_interval_ms = static_cast(std::max(sets.time_interval_ms, 1)); for (auto data_size : sets.sizes) { for (auto par : sets.parallelism) { for (auto win_ms : sets.win_ms_list) { - SAGEFLOW_LOG_INFO("TEST", "[BEGIN] MethodSpeedComparison size={} parallelism={} win_ms={} ", data_size, par, win_ms); - SAGEFLOW_LOG_INFO("TEST", "[PARAM] threshold={} win_ms={} trig_ms={} ", sets.threshold, win_ms, sets.trig_ms); + SAGEFLOW_LOG_INFO("TEST", "[BEGIN] MethodSpeedComparison size={} parallelism={} win_ms={} ", data_size, par, win_ms); + SAGEFLOW_LOG_INFO("TEST", "[PARAM] threshold={} win_ms={} trigger_interval_ms={} (time_interval_ms={}) ", + sets.threshold, win_ms, trigger_interval_ms, sets.time_interval_ms); std::vector> method_times; @@ -554,7 +573,7 @@ TEST_F(JoinPerformanceTest, MethodSpeedComparison) { auto left_source = std::make_shared("MSLeft", std::move(left_records)); auto right_source = std::make_shared("MSRight", std::move(right_records)); - auto join_func = createSimpleJoinFunction(sets.vector_dim, win_ms, sets.trig_ms); + auto join_func = createSimpleJoinFunction(sets.vector_dim, win_ms, trigger_interval_ms); std::atomic match_count{0}; auto sink_func = std::make_unique("MSSink", [&](std::unique_ptr& rec){ if (rec) match_count++; }); @@ -576,9 +595,14 @@ TEST_F(JoinPerformanceTest, MethodSpeedComparison) { for (;;) { uint64_t l = JoinMetrics::instance().total_records_left.load(); uint64_t r = JoinMetrics::instance().total_records_right.load(); - if (l >= expected_left && r >= expected_right) break; + uint64_t completed_left = JoinMetrics::instance().window_records_left_completed.load(); + uint64_t completed_right = JoinMetrics::instance().window_records_right_completed.load(); + if (l >= expected_left && r >= expected_right && + completed_left >= expected_left && completed_right >= expected_right) break; if (std::chrono::steady_clock::now() >= deadline) { - SAGEFLOW_LOG_WARN("TEST", "wait_for_processed timeout l={}/{} r={}/{}", l, expected_left, r, expected_right); + SAGEFLOW_LOG_WARN("TEST", "wait_for_processed timeout l={}/{} r={}/{} completed={}/{}|{}/{}", + l, expected_left, r, expected_right, + completed_left, expected_left, completed_right, expected_right); break; } std::this_thread::sleep_for(5ms); @@ -590,8 +614,8 @@ TEST_F(JoinPerformanceTest, MethodSpeedComparison) { auto duration = std::chrono::duration_cast(end - start); method_times.emplace_back(method, duration.count()); - SAGEFLOW_LOG_INFO("TEST", "Method={} Size={} Par={} time_ms={} matches={} win_ms={} trig_ms={} ", - method, data_size, par, duration.count(), (size_t)match_count.load(), win_ms, sets.trig_ms); + SAGEFLOW_LOG_INFO("TEST", "Method={} Size={} Par={} time_ms={} matches={} win_ms={} trigger_interval_ms={} ", + method, data_size, par, duration.count(), (size_t)match_count.load(), win_ms, trigger_interval_ms); } // 验证：在较大规模（>=5000）下 IVF 应当快于 Bruteforce（放宽倍数关系以避免偶然波动） diff --git a/test/data/generated_test_data.fvecs b/test/data/generated_test_data.fvecs new file mode 100644 index 0000000000000000000000000000000000000000..268d1ebb627817889d01a61133e67b0b9a8f421a GIT binary patch literal 260000 zcmX6^cR-K-_ob;+nkpKEN|aJ*yq|mDrIdzIRz@j%M6$Qi5~698rjnL?BBS^7x^L1_ zG{}mOlud}N^6TsO|MS;*?mhS3bI!|Qz<>dnvqxgs{sZhwRtH?!L2!%r!dba<(BMoZ zf8eDKx&M^rO;bvl@huPbDd0J%70c7hA-drE<_|0iFvB$K72vBioK7UXfrfHVIy1A2 zFC2c|z9rI)AUjr9qetN8 zlXrPdQ$6zu4LU$DdU*i?ZYF zc9Slic~Jun{TTcyzl$kmmUOxF7%rCDi5t$y376X{2-jW?W!FC4rVTB{ysH0t+IUTx 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z3p^i7$6fu)i9?~7y84(f(qVr7t-X#|r!1iF0;-_2{5npIET_(!jUZGk~TJghuN;;?pv?Z%QJkK7H93%=y1*Agb8VE(xn9?M}_X11elCFk&IU1zGCmn|$ z2b1y3DrmkbWv*Aw`uj0v?5;(p%8(}8w0_KIm^AS0J6G#8Ul<~5;XK+LRHgnSTz-&WPe3UYhY3xeqhAze*`#+R&ItR{jnlW$C?o}w{Sk1z+)emrO z$^dLN(j~FIZ(-?fPM*VWMqM}7BW5Kja?O@d5dXtxt(Ud4Q>;A(D_o=_(tgN@9>nZ# zLC(38$QS+c=(s?uv#lOKPhhht_W6X!?x@r#r-ZLjK|%UJs-3oU8|1M)%NrcPydr zv<+!e7C~9B1*omiAXmp1A Date: Mon, 20 Oct 2025 23:14:26 +0800 Subject: [PATCH 4/6] Add CI performance testing workflow and configuration (#7) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Checkpoint from VS Code for coding agent session * Initial analysis of parallel join algorithm issues Co-authored-by: ZeroJustMe <13223093+ZeroJustMe@users.noreply.github.com> * Fix parallel join algorithm issues for IVF method - Fix IVF index race condition by copying candidate lists under lock - Fix expected_matches UID calculation by using consistent modulo base - Fix eager join wait logic to not require window draining - All parallelism levels (1,2,4,8,16,32) now pass with recall >= 0.93 Co-authored-by: ZeroJustMe <13223093+ZeroJustMe@users.noreply.github.com> * Fix IVF nprobes calculation for better recall at higher parallelism - Increase nprobes to search 30% of clusters (was 8%) for better recall - Addresses recall degradation issue with large datasets and high parallelism - All parallelism levels (1-32) now achieve recall >= 0.926 with 1000 records Co-authored-by: ZeroJustMe <13223093+ZeroJustMe@users.noreply.github.com> * Fix single-instance concurrency in join operator - Acquire both window locks before getting candidates and executing joins - Prevents race condition where one slot expires records while other queries - Add helper methods that work with locks already held - Significant recall improvement at high parallelism (p8: 0.983, p16: 0.989, p32: 0.985) Co-authored-by: ZeroJustMe <13223093+ZeroJustMe@users.noreply.github.com> * 优化数据源模式性能测试中的预期匹配计算和等待时间 * [WIP] Add new performance test file for ci (#6) * Checkpoint from VS Code for coding agent session * Add CI performance testing workflow and configuration - Created perf-ci-tests.yml workflow for parallel join performance testing - Created perf_join_datasource_modes_ci.toml with smaller dataset (1000 records) - Tests parallelism levels 1, 2, 4, 8, 16, 32 for both bruteforce_eager and ivf_eager - Verified locally: tests pass with recall > 0.98 (above 0.85 threshold) Co-authored-by: ZeroJustMe <13223093+ZeroJustMe@users.noreply.github.com> --------- Co-authored-by: ZeroJustMe <619378845@qq.com> Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: ZeroJustMe <13223093+ZeroJustMe@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: ZeroJustMe <13223093+ZeroJustMe@users.noreply.github.com> --- .github/workflows/perf-ci-tests.yml | 90 +++++++++++++++++++++++ config/perf_join_datasource_modes.toml | 86 +++++++++++----------- config/perf_join_datasource_modes_ci.toml | 20 +++++ 3 files changed, 153 insertions(+), 43 deletions(-) create mode 100644 .github/workflows/perf-ci-tests.yml create mode 100644 config/perf_join_datasource_modes_ci.toml diff --git a/.github/workflows/perf-ci-tests.yml b/.github/workflows/perf-ci-tests.yml new file mode 100644 index 0000000..09093ad --- /dev/null +++ b/.github/workflows/perf-ci-tests.yml @@ -0,0 +1,90 @@ +name: Performance Testing - Parallel Join + +on: + pull_request: + branches: [ main, main-dev ] + push: + branches: [ main ] + +concurrency: + group: ${{ github.workflow }}-${{ github.ref }} + cancel-in-progress: true + +jobs: + performance-test: + name: ${{ matrix.os }} | Performance Test + runs-on: ${{ matrix.os }} + env: + # Set log level to info for CI performance tests + SAGEFLOW_LOG_LEVEL: info + strategy: + fail-fast: false + matrix: + os: [ ubuntu-latest ] + build_type: [ Release ] + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + # Install C++ toolchain (consistent with main-ci-tests.yml) + - name: Install C++ toolchain (Ubuntu) + if: runner.os == 'Linux' + run: | + sudo apt-get update + sudo apt-get install -y --no-install-recommends \ + build-essential \ + cmake \ + pkg-config + + - name: Show compiler versions + if: runner.os == 'Linux' + run: | + g++ --version || true + gcc --version || true + cmake --version || true + + - name: Configure CMake + run: | + cmake -S . -B build \ + -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} \ + -DBUILD_TESTING=ON \ + -DSAGEFLOW_ENABLE_METRICS=ON \ + -DSAGEFLOW_BUILD_PYBIND=OFF \ + -DCMAKE_POSITION_INDEPENDENT_CODE=ON + + - name: Build + run: | + cmake --build build --config ${{ matrix.build_type }} --parallel + + - name: Run parallel join performance tests + run: | + # Run performance test with CI-specific configuration + # Using the perf_join_datasource_modes_ci.toml configuration + cd build + # Copy the CI config to the expected location for the test + cp ../config/perf_join_datasource_modes_ci.toml ../config/perf_join_datasource_modes.toml.bak + # Temporarily use CI config + mv ../config/perf_join_datasource_modes.toml ../config/perf_join_datasource_modes.toml.orig || true + cp ../config/perf_join_datasource_modes_ci.toml ../config/perf_join_datasource_modes.toml + # Run the performance test + ctest --test-dir . --output-on-failure -R "test_join_datasource_modes" -L PERF + # Restore original config + mv ../config/perf_join_datasource_modes.toml.orig ../config/perf_join_datasource_modes.toml || true + + - name: Upload performance metrics + if: always() + uses: actions/upload-artifact@v4 + with: + name: performance-metrics + path: | + build/metrics/** + test/result/** + + - name: Upload test logs on failure + if: failure() + uses: actions/upload-artifact@v4 + with: + name: ctest-logs-perf + path: | + build/Testing/** + build/*.log diff --git a/config/perf_join_datasource_modes.toml b/config/perf_join_datasource_modes.toml index 84891b5..6d3040b 100644 --- a/config/perf_join_datasource_modes.toml +++ b/config/perf_join_datasource_modes.toml @@ -2,9 +2,9 @@ # Test Mode 1: Generate-Save-Load (generate data, save to file, then load from file) name = "perf_join_gen_save_load_random" mode = "generate_save_load" -#methods = ["bruteforce_eager", "ivf_eager"] -methods = ["ivf_eager"] -sizes = [1000] +methods = ["bruteforce_eager", "ivf_eager"] +#methods = ["ivf_eager"] +sizes = [4000] records_count = 10 vector_dim = 64 parallelism = [1,2,4,8,16,32] @@ -20,43 +20,43 @@ type = "random" [performance_test.storage] format = "fvecs" # Options: "fvecs", "json" file_path = "test/data/generated_test_data.fvecs" -# -#[[performance_test]] -## Test Mode 2: Direct Load (load data directly from existing file) -#name = "perf_join_direct_load_sift" -#mode = "direct_load" -#methods = ["bruteforce_eager", "ivf_eager"] -#sizes = [2000] -#records_count = 10 -#vector_dim = 128 -#parallelism = [1,2,4] -#window_time_ms = [10000] -#window_trigger_ms = 50 -#time_interval = 10 -#similarity_threshold = 0.8 -# -#[performance_test.data_source] -#type = "dataset" -#file_path = "data/siftsmall/siftsmall_query.fvecs" -#expected_dim = 128 -#loop = true -# -#[[performance_test]] -## Test Mode 3: Generate and Use Directly (no file I/O) -#name = "perf_join_direct_use_random" -#mode = "generate_direct_use" -#methods = ["bruteforce_eager", "ivf_eager"] -#sizes = [2000] -#records_count = 10 -#vector_dim = 64 -#parallelism = [1,2,4] -#window_time_ms = [10000] -#window_trigger_ms = 50 -#time_interval = 10 -#similarity_threshold = 0.8 -#seed = 42 -# -#[performance_test.data_source] -#type = "random" -# -#log.level = "debug" + +[[performance_test]] +# Test Mode 2: Direct Load (load data directly from existing file) +name = "perf_join_direct_load_sift" +mode = "direct_load" +methods = ["bruteforce_eager", "ivf_eager"] +sizes = [2000] +records_count = 10 +vector_dim = 128 +parallelism = [1,2,4,8,16,32] +window_time_ms = [10000] +window_trigger_ms = 50 +time_interval = 10 +similarity_threshold = 0.8 + +[performance_test.data_source] +type = "dataset" +file_path = "data/siftsmall/siftsmall_query.fvecs" +expected_dim = 128 +loop = true + +[[performance_test]] +# Test Mode 3: Generate and Use Directly (no file I/O) +name = "perf_join_direct_use_random" +mode = "generate_direct_use" +methods = ["bruteforce_eager", "ivf_eager"] +sizes = [2000] +records_count = 10 +vector_dim = 64 +parallelism = [1,2,4,8,16,32] +window_time_ms = [10000] +window_trigger_ms = 50 +time_interval = 10 +similarity_threshold = 0.8 +seed = 42 + +[performance_test.data_source] +type = "random" + +log.level = "debug" diff --git a/config/perf_join_datasource_modes_ci.toml b/config/perf_join_datasource_modes_ci.toml new file mode 100644 index 0000000..b46493c --- /dev/null +++ b/config/perf_join_datasource_modes_ci.toml @@ -0,0 +1,20 @@ +[[performance_test]] +# CI Performance Test: Generate-Direct-Use (no file I/O for faster CI execution) +# Using smaller dataset size optimized for CI environment +name = "ci_perf_join_parallel_test" +mode = "generate_direct_use" +methods = ["bruteforce_eager", "ivf_eager"] +sizes = [1000] # Smaller size for CI - fast execution while testing parallelism +records_count = 1000 +vector_dim = 64 +parallelism = [1, 2, 4, 8, 16, 32] # Test all parallelism levels from 1 to 32 +window_time_ms = [10000] +window_trigger_ms = 50 +time_interval = 10 +similarity_threshold = 0.8 +seed = 42 + +[performance_test.data_source] +type = "random" + +log.level = "info" From 2bca13f8ad18bdb43ac6174324b303a70091a0e4 Mon Sep 17 00:00:00 2001 From: Ziao Wang <619378845@qq.com> Date: Mon, 27 Oct 2025 10:33:55 +0800 Subject: [PATCH 5/6] Update test/Performance/test_join_datasource_modes.cpp Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --- test/Performance/test_join_datasource_modes.cpp | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/test/Performance/test_join_datasource_modes.cpp b/test/Performance/test_join_datasource_modes.cpp index 2a967d6..a5cf2ab 100644 --- a/test/Performance/test_join_datasource_modes.cpp +++ b/test/Performance/test_join_datasource_modes.cpp @@ -374,8 +374,9 @@ TEST_P(JoinDataSourceModesTest, DataSourceModePerformance) { const size_t expected_right = right_records.size(); // Compute expected matches - use consistent UID mapping + constexpr double kAlpha = 0.1; auto expected_matches = - computeExpectedPairsByTraversal(left_records, right_records, mode_config.threshold, win_ms, 0.1, kModuloBase); + computeExpectedPairsByTraversal(left_records, right_records, mode_config.threshold, win_ms, kAlpha, kModuloBase); const uint64_t expected_emit_count = static_cast(expected_matches.size()); // Create stream sources From 7805b6a7cd496a181774522493c1163ed7dd3fc8 Mon Sep 17 00:00:00 2001 From: Ziao Wang <619378845@qq.com> Date: Mon, 27 Oct 2025 11:06:09 +0800 Subject: [PATCH 6/6] Update src/operator/join_operator.cpp Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --- src/operator/join_operator.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/operator/join_operator.cpp b/src/operator/join_operator.cpp index bef9288..91c628c 100644 --- a/src/operator/join_operator.cpp +++ b/src/operator/join_operator.cpp @@ -688,8 +688,8 @@ auto JoinOperator::apply(Response&& record, int slot, Collector& collector) -> v for (auto &p : local_return_pool) { Response out{ResponseType::Record, std::move(p.second)}; collector.collect(std::make_unique(std::move(out)), p.first); - JoinMetrics::instance().total_emits.fetch_add(1,std::memory_order_relaxed); #ifdef SAGEFLOW_ENABLE_METRICS + JoinMetrics::instance().total_emits.fetch_add(1,std::memory_order_relaxed); // 端到端延迟：从 apply 进入到对应结果发射的时长（按每条结果计） const uint64_t now_ns = ScopedAccumulateAtomic::now_ns(); JoinMetrics::instance().e2e_latency_ns.fetch_add(now_ns - apply_enter_ns, std::memory_order_relaxed);