Merge branch 'branch-0.4.0' into 'branch-0.4.0'

MS-528 Hide some config used future

See merge request megasearch/milvus!518

Former-commit-id: 74f6c56d57fe7390b83f0145a5ea8b53dcaa0c4d

cpp/CHANGELOG.md

@@ -104,6 +104,9 @@ Please mark all change in change log and use the ticket from JIRA.
 - MS-519 - Add event_test in scheduler
 - MS-520 - Update resource_test in scheduler
 - MS-524 - Add some unittest in event_test and resource_test
+- MS-525 - Disable parallel reduce in SearchTask
+- MS-527 - Update scheduler_test and enable it
+- MS-528 - Hide some config used future
 
 ## New Feature
 - MS-343 - Implement ResourceMgr

cpp/conf/server_config.template

@@ -48,51 +48,38 @@ resource_config:
   # example:
   # resource_name:               # resource name, just using in connections below
   #   type: DISK                 # resource type, optional: DISK/CPU/GPU
-  #   memory: 256                # memory size, unit: GB
   #   device_id: 0
-  #   enable_loader: true        # if is enable loader, optional: true, false
   #   enable_executor: false     # if is enable executor, optional: true, false
 
   resources:
     ssda:
       type: DISK
-      memory: 2048
       device_id: 0
-      enable_loader: true
       enable_executor: false
 
     cpu:
       type: CPU
-      memory: 64
       device_id: 0
-      enable_loader: true
       enable_executor: false
 
     gpu0:
       type: GPU
-      memory: 6
       device_id: 0
-      enable_loader: true
       enable_executor: true
       gpu_resource_num: 2
       pinned_memory: 300
       temp_memory: 300
 
-#    gtx1660:
-#      type: GPU
-#      memory: 6
-#      device_id: 1
-#      enable_loader: true
-#      enable_executor: true
-
   # connection list, length: 0~N
-      # format: -${resource_name}===${resource_name}
+  # example:
+  # connection_name:
+  #   speed: 100                                        # unit: MS/s
+  #   endpoint: ${resource_name}===${resource_name}
   connections:
     io:
       speed: 500
       endpoint: ssda===cpu
-    pcie:
+    pcie0:
       speed: 11000
       endpoint: cpu===gpu0
-#    - cpu===gtx1660
 

cpp/src/scheduler/SchedInst.cpp

@@ -36,7 +36,8 @@ StartSchedulerService() {
             auto type = resconf.GetValue(server::CONFIG_RESOURCE_TYPE);
 //        auto memory = resconf.GetInt64Value(server::CONFIG_RESOURCE_MEMORY);
             auto device_id = resconf.GetInt64Value(server::CONFIG_RESOURCE_DEVICE_ID);
-            auto enable_loader = resconf.GetBoolValue(server::CONFIG_RESOURCE_ENABLE_LOADER);
+//            auto enable_loader = resconf.GetBoolValue(server::CONFIG_RESOURCE_ENABLE_LOADER);
+            auto enable_loader = true;
             auto enable_executor = resconf.GetBoolValue(server::CONFIG_RESOURCE_ENABLE_EXECUTOR);
             auto pinned_memory = resconf.GetInt64Value(server::CONFIG_RESOURCE_PIN_MEMORY);
             auto temp_memory = resconf.GetInt64Value(server::CONFIG_RESOURCE_TEMP_MEMORY);

cpp/src/scheduler/task/SearchTask.cpp

@@ -20,47 +20,47 @@ namespace engine {
 static constexpr size_t PARALLEL_REDUCE_THRESHOLD = 10000;
 static constexpr size_t PARALLEL_REDUCE_BATCH = 1000;
 
-bool
-NeedParallelReduce(uint64_t nq, uint64_t topk) {
-    server::ServerConfig &config = server::ServerConfig::GetInstance();
-    server::ConfigNode &db_config = config.GetConfig(server::CONFIG_DB);
-    bool need_parallel = db_config.GetBoolValue(server::CONFIG_DB_PARALLEL_REDUCE, false);
-    if (!need_parallel) {
-        return false;
-    }
-
-    return nq * topk >= PARALLEL_REDUCE_THRESHOLD;
-}
-
-void
-ParallelReduce(std::function<void(size_t, size_t)> &reduce_function, size_t max_index) {
-    size_t reduce_batch = PARALLEL_REDUCE_BATCH;
-
-    auto thread_count = std::thread::hardware_concurrency() - 1; //not all core do this work
-    if (thread_count > 0) {
-        reduce_batch = max_index / thread_count + 1;
-    }
-    ENGINE_LOG_DEBUG << "use " << thread_count <<
-                     " thread parallelly do reduce, each thread process " << reduce_batch << " vectors";
-
-    std::vector<std::shared_ptr<std::thread> > thread_array;
-    size_t from_index = 0;
-    while (from_index < max_index) {
-        size_t to_index = from_index + reduce_batch;
-        if (to_index > max_index) {
-            to_index = max_index;
-        }
-
-        auto reduce_thread = std::make_shared<std::thread>(reduce_function, from_index, to_index);
-        thread_array.push_back(reduce_thread);
-
-        from_index = to_index;
-    }
-
-    for (auto &thread_ptr : thread_array) {
-        thread_ptr->join();
-    }
-}
+//bool
+//NeedParallelReduce(uint64_t nq, uint64_t topk) {
+//    server::ServerConfig &config = server::ServerConfig::GetInstance();
+//    server::ConfigNode &db_config = config.GetConfig(server::CONFIG_DB);
+//    bool need_parallel = db_config.GetBoolValue(server::CONFIG_DB_PARALLEL_REDUCE, false);
+//    if (!need_parallel) {
+//        return false;
+//    }
+//
+//    return nq * topk >= PARALLEL_REDUCE_THRESHOLD;
+//}
+//
+//void
+//ParallelReduce(std::function<void(size_t, size_t)> &reduce_function, size_t max_index) {
+//    size_t reduce_batch = PARALLEL_REDUCE_BATCH;
+//
+//    auto thread_count = std::thread::hardware_concurrency() - 1; //not all core do this work
+//    if (thread_count > 0) {
+//        reduce_batch = max_index / thread_count + 1;
+//    }
+//    ENGINE_LOG_DEBUG << "use " << thread_count <<
+//                     " thread parallelly do reduce, each thread process " << reduce_batch << " vectors";
+//
+//    std::vector<std::shared_ptr<std::thread> > thread_array;
+//    size_t from_index = 0;
+//    while (from_index < max_index) {
+//        size_t to_index = from_index + reduce_batch;
+//        if (to_index > max_index) {
+//            to_index = max_index;
+//        }
+//
+//        auto reduce_thread = std::make_shared<std::thread>(reduce_function, from_index, to_index);
+//        thread_array.push_back(reduce_thread);
+//
+//        from_index = to_index;
+//    }
+//
+//    for (auto &thread_ptr : thread_array) {
+//        thread_ptr->join();
+//    }
+//}
 
 void
 CollectFileMetrics(int file_type, size_t file_size) {
@@ -238,11 +238,11 @@ Status XSearchTask::ClusterResult(const std::vector<long> &output_ids,
         }
     };
 
-    if (NeedParallelReduce(nq, topk)) {
-        ParallelReduce(reduce_worker, nq);
-    } else {
+//    if (NeedParallelReduce(nq, topk)) {
+//        ParallelReduce(reduce_worker, nq);
+//    } else {
         reduce_worker(0, nq);
-    }
+//    }
 
     return Status::OK();
 }
@@ -343,11 +343,11 @@ Status XSearchTask::TopkResult(SearchContext::ResultSet &result_src,
         }
     };
 
-    if (NeedParallelReduce(result_src.size(), topk)) {
-        ParallelReduce(ReduceWorker, result_src.size());
-    } else {
+//    if (NeedParallelReduce(result_src.size(), topk)) {
+//        ParallelReduce(ReduceWorker, result_src.size());
+//    } else {
         ReduceWorker(0, result_src.size());
-    }
+//    }
 
     return Status::OK();
 }

cpp/unittest/scheduler/scheduler_test.cpp

@@ -6,6 +6,7 @@
 #include "scheduler/Scheduler.h"
 #include <gtest/gtest.h>
 #include <src/scheduler/tasklabel/DefaultLabel.h>
+#include <src/server/ServerConfig.h>
 #include "cache/DataObj.h"
 #include "cache/GpuCacheMgr.h"
 #include "scheduler/task/TestTask.h"
@@ -15,233 +16,238 @@
 #include "wrapper/knowhere/vec_index.h"
 #include "scheduler/tasklabel/SpecResLabel.h"
 
+
 namespace zilliz {
 namespace milvus {
 namespace engine {
 
-//class MockVecIndex : public engine::VecIndex {
-//public:
-//    virtual server::KnowhereError BuildAll(const long &nb,
-//                                           const float *xb,
-//                                           const long *ids,
-//                                           const engine::Config &cfg,
-//                                           const long &nt = 0,
-//                                           const float *xt = nullptr) {
-//
-//    }
-//
-//    engine::VecIndexPtr Clone() override {
-//        return zilliz::milvus::engine::VecIndexPtr();
-//    }
-//
-//    int64_t GetDeviceId() override {
-//        return 0;
-//    }
-//
-//    engine::IndexType GetType() override {
-//        return engine::IndexType::INVALID;
-//    }
-//
-//    virtual server::KnowhereError Add(const long &nb,
-//                                      const float *xb,
-//                                      const long *ids,
-//                                      const engine::Config &cfg = engine::Config()) {
-//
-//    }
-//
-//    virtual server::KnowhereError Search(const long &nq,
-//                                         const float *xq,
-//                                         float *dist,
-//                                         long *ids,
-//                                         const engine::Config &cfg = engine::Config()) {
-//
-//    }
-//
-//    engine::VecIndexPtr CopyToGpu(const int64_t &device_id, const engine::Config &cfg) override {
-//
-//    }
-//
-//    engine::VecIndexPtr CopyToCpu(const engine::Config &cfg) override {
-//
-//    }
-//
-//    virtual int64_t Dimension() {
-//        return dimension_;
-//    }
-//
-//    virtual int64_t Count() {
-//        return ntotal_;
-//    }
-//
-//    virtual zilliz::knowhere::BinarySet Serialize() {
-//        zilliz::knowhere::BinarySet binset;
-//        return binset;
-//    }
-//
-//    virtual server::KnowhereError Load(const zilliz::knowhere::BinarySet &index_binary) {
-//
-//    }
-//
-//public:
-//    int64_t dimension_ = 512;
-//    int64_t ntotal_ = 0;
-//};
-//
-//
-//class SchedulerTest : public testing::Test {
-//protected:
-//    void
-//    SetUp() override {
-//        ResourcePtr cpu = ResourceFactory::Create("cpu", "CPU", 0, true, false);
-//        ResourcePtr gpu_0 = ResourceFactory::Create("gpu0", "GPU", 0);
-//        ResourcePtr gpu_1 = ResourceFactory::Create("gpu1", "GPU", 1);
-//
-//        res_mgr_ = std::make_shared<ResourceMgr>();
-//        cpu_resource_ = res_mgr_->Add(std::move(cpu));
-//        gpu_resource_0_ = res_mgr_->Add(std::move(gpu_0));
-//        gpu_resource_1_ = res_mgr_->Add(std::move(gpu_1));
-//
-//        auto PCIE = Connection("IO", 11000.0);
-//        res_mgr_->Connect("cpu", "gpu0", PCIE);
-//        res_mgr_->Connect("cpu", "gpu1", PCIE);
-//
-//        scheduler_ = std::make_shared<Scheduler>(res_mgr_);
-//
-//        res_mgr_->Start();
-//        scheduler_->Start();
-//    }
-//
-//    void
-//    TearDown() override {
-//        scheduler_->Stop();
-//        res_mgr_->Stop();
-//    }
-//
-//    ResourceWPtr cpu_resource_;
-//    ResourceWPtr gpu_resource_0_;
-//    ResourceWPtr gpu_resource_1_;
-//
-//    ResourceMgrPtr res_mgr_;
-//    std::shared_ptr<Scheduler> scheduler_;
-//};
-//
-//void
-//insert_dummy_index_into_gpu_cache(uint64_t device_id) {
-//    MockVecIndex* mock_index = new MockVecIndex();
-//    mock_index->ntotal_ = 1000;
-//    engine::VecIndexPtr index(mock_index);
-//
-//    cache::DataObjPtr obj = std::make_shared<cache::DataObj>(index);
-//
-//    cache::GpuCacheMgr::GetInstance(device_id)->InsertItem("location",obj);
-//}
-//
-//TEST_F(SchedulerTest, OnCopyCompleted) {
-//    const uint64_t NUM = 10;
-//    std::vector<std::shared_ptr<TestTask>> tasks;
-//    TableFileSchemaPtr dummy = std::make_shared<meta::TableFileSchema>();
-//    dummy->location_ = "location";
-//
-//    insert_dummy_index_into_gpu_cache(1);
-//
-//    for (uint64_t i = 0; i < NUM; ++i) {
-//        auto task = std::make_shared<TestTask>(dummy);
-//        task->label() = std::make_shared<DefaultLabel>();
-//        tasks.push_back(task);
-//        cpu_resource_.lock()->task_table().Put(task);
-//    }
-//
-//    sleep(3);
+class MockVecIndex : public engine::VecIndex {
+public:
+    virtual ErrorCode BuildAll(const long &nb,
+                               const float *xb,
+                               const long *ids,
+                               const engine::Config &cfg,
+                               const long &nt = 0,
+                               const float *xt = nullptr) {
+
+    }
+
+    engine::VecIndexPtr Clone() override {
+        return zilliz::milvus::engine::VecIndexPtr();
+    }
+
+    int64_t GetDeviceId() override {
+        return 0;
+    }
+
+    engine::IndexType GetType() override {
+        return engine::IndexType::INVALID;
+    }
+
+    virtual ErrorCode Add(const long &nb,
+                          const float *xb,
+                          const long *ids,
+                          const engine::Config &cfg = engine::Config()) {
+
+    }
+
+    virtual ErrorCode Search(const long &nq,
+                             const float *xq,
+                             float *dist,
+                             long *ids,
+                             const engine::Config &cfg = engine::Config()) {
+
+    }
+
+    engine::VecIndexPtr CopyToGpu(const int64_t &device_id, const engine::Config &cfg) override {
+
+    }
+
+    engine::VecIndexPtr CopyToCpu(const engine::Config &cfg) override {
+
+    }
+
+    virtual int64_t Dimension() {
+        return dimension_;
+    }
+
+    virtual int64_t Count() {
+        return ntotal_;
+    }
+
+    virtual zilliz::knowhere::BinarySet Serialize() {
+        zilliz::knowhere::BinarySet binset;
+        return binset;
+    }
+
+    virtual ErrorCode Load(const zilliz::knowhere::BinarySet &index_binary) {
+
+    }
+
+public:
+    int64_t dimension_ = 512;
+    int64_t ntotal_ = 0;
+};
+
+
+class SchedulerTest : public testing::Test {
+protected:
+    void
+    SetUp() override {
+        server::ConfigNode& config = server::ServerConfig::GetInstance().GetConfig(server::CONFIG_CACHE);
+        config.AddSequenceItem(server::CONFIG_GPU_IDS, "0");
+        config.AddSequenceItem(server::CONFIG_GPU_IDS, "1");
+
+        ResourcePtr cpu = ResourceFactory::Create("cpu", "CPU", 0, true, false);
+        ResourcePtr gpu_0 = ResourceFactory::Create("gpu0", "GPU", 0);
+        ResourcePtr gpu_1 = ResourceFactory::Create("gpu1", "GPU", 1);
+
+        res_mgr_ = std::make_shared<ResourceMgr>();
+        cpu_resource_ = res_mgr_->Add(std::move(cpu));
+        gpu_resource_0_ = res_mgr_->Add(std::move(gpu_0));
+        gpu_resource_1_ = res_mgr_->Add(std::move(gpu_1));
+
+        auto PCIE = Connection("IO", 11000.0);
+        res_mgr_->Connect("cpu", "gpu0", PCIE);
+        res_mgr_->Connect("cpu", "gpu1", PCIE);
+
+        scheduler_ = std::make_shared<Scheduler>(res_mgr_);
+
+        res_mgr_->Start();
+        scheduler_->Start();
+    }
+
+    void
+    TearDown() override {
+        scheduler_->Stop();
+        res_mgr_->Stop();
+    }
+
+    ResourceWPtr cpu_resource_;
+    ResourceWPtr gpu_resource_0_;
+    ResourceWPtr gpu_resource_1_;
+
+    ResourceMgrPtr res_mgr_;
+    std::shared_ptr<Scheduler> scheduler_;
+};
+
+void
+insert_dummy_index_into_gpu_cache(uint64_t device_id) {
+    MockVecIndex *mock_index = new MockVecIndex();
+    mock_index->ntotal_ = 1000;
+    engine::VecIndexPtr index(mock_index);
+
+    cache::DataObjPtr obj = std::make_shared<cache::DataObj>(index);
+
+    cache::GpuCacheMgr::GetInstance(device_id)->InsertItem("location", obj);
+}
+
+TEST_F(SchedulerTest, OnLoadCompleted) {
+    const uint64_t NUM = 10;
+    std::vector<std::shared_ptr<TestTask>> tasks;
+    TableFileSchemaPtr dummy = std::make_shared<meta::TableFileSchema>();
+    dummy->location_ = "location";
+
+    insert_dummy_index_into_gpu_cache(1);
+
+    for (uint64_t i = 0; i < NUM; ++i) {
+        auto task = std::make_shared<TestTask>(dummy);
+        task->label() = std::make_shared<DefaultLabel>();
+        tasks.push_back(task);
+        cpu_resource_.lock()->task_table().Put(task);
+    }
+
+    sleep(3);
+    ASSERT_EQ(res_mgr_->GetResource(ResourceType::GPU, 1)->task_table().Size(), NUM);
+
+}
+
+TEST_F(SchedulerTest, PushTaskToNeighbourRandomlyTest) {
+    const uint64_t NUM = 10;
+    std::vector<std::shared_ptr<TestTask>> tasks;
+    TableFileSchemaPtr dummy1 = std::make_shared<meta::TableFileSchema>();
+    dummy1->location_ = "location";
+
+    tasks.clear();
+
+    for (uint64_t i = 0; i < NUM; ++i) {
+        auto task = std::make_shared<TestTask>(dummy1);
+        task->label() = std::make_shared<DefaultLabel>();
+        tasks.push_back(task);
+        cpu_resource_.lock()->task_table().Put(task);
+    }
+
+    sleep(3);
 //    ASSERT_EQ(res_mgr_->GetResource(ResourceType::GPU, 1)->task_table().Size(), NUM);
-//
-//}
-//
-//TEST_F(SchedulerTest, PushTaskToNeighbourRandomlyTest) {
-//    const uint64_t NUM = 10;
-//    std::vector<std::shared_ptr<TestTask>> tasks;
-//    TableFileSchemaPtr dummy1 = std::make_shared<meta::TableFileSchema>();
-//    dummy1->location_ = "location";
-//
-//    tasks.clear();
-//
-//    for (uint64_t i = 0; i < NUM; ++i) {
-//        auto task = std::make_shared<TestTask>(dummy1);
-//        task->label() = std::make_shared<DefaultLabel>();
-//        tasks.push_back(task);
-//        cpu_resource_.lock()->task_table().Put(task);
-//    }
-//
-//    sleep(3);
-////    ASSERT_EQ(res_mgr_->GetResource(ResourceType::GPU, 1)->task_table().Size(), NUM);
-//}
-//
-//class SchedulerTest2 : public testing::Test {
-// protected:
-//    void
-//    SetUp() override {
-//        ResourcePtr disk = ResourceFactory::Create("disk", "DISK", 0, true, false);
-//        ResourcePtr cpu0 = ResourceFactory::Create("cpu0", "CPU", 0, true, false);
-//        ResourcePtr cpu1 = ResourceFactory::Create("cpu1", "CPU", 1, true, false);
-//        ResourcePtr cpu2 = ResourceFactory::Create("cpu2", "CPU", 2, true, false);
-//        ResourcePtr gpu0 = ResourceFactory::Create("gpu0", "GPU", 0, true, true);
-//        ResourcePtr gpu1 = ResourceFactory::Create("gpu1", "GPU", 1, true, true);
-//
-//        res_mgr_ = std::make_shared<ResourceMgr>();
-//        disk_ = res_mgr_->Add(std::move(disk));
-//        cpu_0_ = res_mgr_->Add(std::move(cpu0));
-//        cpu_1_ = res_mgr_->Add(std::move(cpu1));
-//        cpu_2_ = res_mgr_->Add(std::move(cpu2));
-//        gpu_0_ = res_mgr_->Add(std::move(gpu0));
-//        gpu_1_ = res_mgr_->Add(std::move(gpu1));
-//        auto IO = Connection("IO", 5.0);
-//        auto PCIE1 = Connection("PCIE", 11.0);
-//        auto PCIE2 = Connection("PCIE", 20.0);
-//        res_mgr_->Connect("disk", "cpu0", IO);
-//        res_mgr_->Connect("cpu0", "cpu1", IO);
-//        res_mgr_->Connect("cpu1", "cpu2", IO);
-//        res_mgr_->Connect("cpu0", "cpu2", IO);
-//        res_mgr_->Connect("cpu1", "gpu0", PCIE1);
-//        res_mgr_->Connect("cpu2", "gpu1", PCIE2);
-//
-//        scheduler_ = std::make_shared<Scheduler>(res_mgr_);
-//
-//        res_mgr_->Start();
-//        scheduler_->Start();
-//    }
-//
-//    void
-//    TearDown() override {
-//        scheduler_->Stop();
-//        res_mgr_->Stop();
-//    }
-//
-//    ResourceWPtr disk_;
-//    ResourceWPtr cpu_0_;
-//    ResourceWPtr cpu_1_;
-//    ResourceWPtr cpu_2_;
-//    ResourceWPtr gpu_0_;
-//    ResourceWPtr gpu_1_;
-//    ResourceMgrPtr res_mgr_;
-//
-//    std::shared_ptr<Scheduler> scheduler_;
-//};
-//
-//
-//TEST_F(SchedulerTest2, SpecifiedResourceTest) {
-//    const uint64_t NUM = 10;
-//    std::vector<std::shared_ptr<TestTask>> tasks;
-//    TableFileSchemaPtr dummy = std::make_shared<meta::TableFileSchema>();
-//    dummy->location_ = "location";
-//
-//    for (uint64_t i = 0; i < NUM; ++i) {
-//        std::shared_ptr<TestTask> task = std::make_shared<TestTask>(dummy);
-//        task->label() = std::make_shared<SpecResLabel>(disk_);
-//        tasks.push_back(task);
-//        disk_.lock()->task_table().Put(task);
-//    }
-//
-////    ASSERT_EQ(res_mgr_->GetResource(ResourceType::GPU, 1)->task_table().Size(), NUM);
-//}
+}
+
+class SchedulerTest2 : public testing::Test {
+protected:
+    void
+    SetUp() override {
+        ResourcePtr disk = ResourceFactory::Create("disk", "DISK", 0, true, false);
+        ResourcePtr cpu0 = ResourceFactory::Create("cpu0", "CPU", 0, true, false);
+        ResourcePtr cpu1 = ResourceFactory::Create("cpu1", "CPU", 1, true, false);
+        ResourcePtr cpu2 = ResourceFactory::Create("cpu2", "CPU", 2, true, false);
+        ResourcePtr gpu0 = ResourceFactory::Create("gpu0", "GPU", 0, true, true);
+        ResourcePtr gpu1 = ResourceFactory::Create("gpu1", "GPU", 1, true, true);
+
+        res_mgr_ = std::make_shared<ResourceMgr>();
+        disk_ = res_mgr_->Add(std::move(disk));
+        cpu_0_ = res_mgr_->Add(std::move(cpu0));
+        cpu_1_ = res_mgr_->Add(std::move(cpu1));
+        cpu_2_ = res_mgr_->Add(std::move(cpu2));
+        gpu_0_ = res_mgr_->Add(std::move(gpu0));
+        gpu_1_ = res_mgr_->Add(std::move(gpu1));
+        auto IO = Connection("IO", 5.0);
+        auto PCIE1 = Connection("PCIE", 11.0);
+        auto PCIE2 = Connection("PCIE", 20.0);
+        res_mgr_->Connect("disk", "cpu0", IO);
+        res_mgr_->Connect("cpu0", "cpu1", IO);
+        res_mgr_->Connect("cpu1", "cpu2", IO);
+        res_mgr_->Connect("cpu0", "cpu2", IO);
+        res_mgr_->Connect("cpu1", "gpu0", PCIE1);
+        res_mgr_->Connect("cpu2", "gpu1", PCIE2);
+
+        scheduler_ = std::make_shared<Scheduler>(res_mgr_);
+
+        res_mgr_->Start();
+        scheduler_->Start();
+    }
+
+    void
+    TearDown() override {
+        scheduler_->Stop();
+        res_mgr_->Stop();
+    }
+
+    ResourceWPtr disk_;
+    ResourceWPtr cpu_0_;
+    ResourceWPtr cpu_1_;
+    ResourceWPtr cpu_2_;
+    ResourceWPtr gpu_0_;
+    ResourceWPtr gpu_1_;
+    ResourceMgrPtr res_mgr_;
+
+    std::shared_ptr<Scheduler> scheduler_;
+};
+
+
+TEST_F(SchedulerTest2, SpecifiedResourceTest) {
+    const uint64_t NUM = 10;
+    std::vector<std::shared_ptr<TestTask>> tasks;
+    TableFileSchemaPtr dummy = std::make_shared<meta::TableFileSchema>();
+    dummy->location_ = "location";
+
+    for (uint64_t i = 0; i < NUM; ++i) {
+        std::shared_ptr<TestTask> task = std::make_shared<TestTask>(dummy);
+        task->label() = std::make_shared<SpecResLabel>(disk_);
+        tasks.push_back(task);
+        disk_.lock()->task_table().Put(task);
+    }
+
+//    ASSERT_EQ(res_mgr_->GetResource(ResourceType::GPU, 1)->task_table().Size(), NUM);
+}
 
 }
 }