diff --git a/paddle/fluid/framework/channel.h b/paddle/fluid/framework/channel.h
index 503f1513aad20c1598b034ef1fb90bd0aa1a0224..80fee94f1c85d961110bd0a9b9bd8946fa5c91b6 100644
--- a/paddle/fluid/framework/channel.h
+++ b/paddle/fluid/framework/channel.h
@@ -157,7 +157,19 @@ class ChannelObject {
     p.resize(finished);
     return finished;
   }
+  // read once only
+  size_t ReadOnce(std::vector<T>& p, size_t size) {  // NOLINT
+    if (size == 0) {
+      return 0;
+    }
+    std::unique_lock<std::mutex> lock(mutex_);
+    p.resize(size);
+    size_t finished = Read(size, &p[0], lock, true);
+    p.resize(finished);
+    Notify();
 
+    return finished;
+  }
   size_t ReadAll(std::vector<T>& p) {  // NOLINT
     p.clear();
     size_t finished = 0;
@@ -241,17 +253,21 @@ class ChannelObject {
     return !closed_;
   }
 
-  size_t Read(size_t n, T* p, std::unique_lock<std::mutex>& lock) {  // NOLINT
+  size_t Read(size_t n, T* p, std::unique_lock<std::mutex>& lock,  // NOLINT
+              bool once = false) {                                 // NOLINT
     size_t finished = 0;
     CHECK(n <= MaxCapacity() - reading_count_);
     reading_count_ += n;
     while (finished < n && WaitForRead(lock)) {
-      size_t m = std::min(n - finished, data_.size());
+      size_t m = (std::min)(n - finished, data_.size());
       for (size_t i = 0; i < m; i++) {
         p[finished++] = std::move(data_.front());
         data_.pop_front();
       }
       reading_count_ -= m;
+      if (once && m > 0) {
+        break;
+      }
     }
     reading_count_ -= n - finished;
     return finished;
diff --git a/paddle/fluid/framework/data_feed.cc b/paddle/fluid/framework/data_feed.cc
index fdb24ee18eca7dd576904f7e17f77ae1c588f5a5..4463fd9fd534098565f6ccb41f908132b5e0a80a 100644
--- a/paddle/fluid/framework/data_feed.cc
+++ b/paddle/fluid/framework/data_feed.cc
@@ -36,6 +36,107 @@ DLManager& global_dlmanager_pool() {
   return manager;
 }
 
+class BufferedLineFileReader {
+  typedef std::function<bool()> SampleFunc;
+  static const int MAX_FILE_BUFF_SIZE = 4 * 1024 * 1024;
+  class FILEReader {
+   public:
+    explicit FILEReader(FILE* fp) : fp_(fp) {}
+    int read(char* buf, int len) { return fread(buf, sizeof(char), len, fp_); }
+
+   private:
+    FILE* fp_;
+  };
+
+ public:
+  typedef std::function<bool(const std::string&)> LineFunc;
+
+ private:
+  template <typename T>
+  int read_lines(T* reader, LineFunc func, int skip_lines) {
+    int lines = 0;
+    size_t ret = 0;
+    char* ptr = NULL;
+    char* eol = NULL;
+    total_len_ = 0;
+    error_line_ = 0;
+
+    SampleFunc spfunc = get_sample_func();
+    std::string x;
+    while (!is_error() && (ret = reader->read(buff_, MAX_FILE_BUFF_SIZE)) > 0) {
+      total_len_ += ret;
+      ptr = buff_;
+      eol = reinterpret_cast<char*>(memchr(ptr, '\n', ret));
+      while (eol != NULL) {
+        int size = static_cast<int>((eol - ptr) + 1);
+        x.append(ptr, size - 1);
+        ++lines;
+        if (lines > skip_lines && spfunc()) {
+          if (!func(x)) {
+            ++error_line_;
+          }
+        }
+
+        x.clear();
+        ptr += size;
+        ret -= size;
+        eol = reinterpret_cast<char*>(memchr(ptr, '\n', ret));
+      }
+      if (ret > 0) {
+        x.append(ptr, ret);
+      }
+    }
+    if (!is_error() && !x.empty()) {
+      ++lines;
+      if (lines > skip_lines && spfunc()) {
+        if (!func(x)) {
+          ++error_line_;
+        }
+      }
+    }
+    return lines;
+  }
+
+ public:
+  BufferedLineFileReader()
+      : random_engine_(std::random_device()()),
+        uniform_distribution_(0.0f, 1.0f) {
+    total_len_ = 0;
+    sample_line_ = 0;
+    buff_ =
+        reinterpret_cast<char*>(calloc(MAX_FILE_BUFF_SIZE + 1, sizeof(char)));
+  }
+  ~BufferedLineFileReader() { free(buff_); }
+
+  int read_file(FILE* fp, LineFunc func, int skip_lines) {
+    FILEReader reader(fp);
+    return read_lines<FILEReader>(&reader, func, skip_lines);
+  }
+  uint64_t file_size(void) { return total_len_; }
+  void set_sample_rate(float r) { sample_rate_ = r; }
+  size_t get_sample_line() { return sample_line_; }
+  bool is_error(void) { return (error_line_ > 10); }
+
+ private:
+  SampleFunc get_sample_func() {
+    if (std::abs(sample_rate_ - 1.0f) < 1e-5f) {
+      return [this](void) { return true; };
+    }
+    return [this](void) {
+      return (uniform_distribution_(random_engine_) < sample_rate_);
+    };
+  }
+
+ private:
+  char* buff_ = nullptr;
+  uint64_t total_len_ = 0;
+
+  std::default_random_engine random_engine_;
+  std::uniform_real_distribution<float> uniform_distribution_;
+  float sample_rate_ = 1.0f;
+  size_t sample_line_ = 0;
+  size_t error_line_ = 0;
+};
 void RecordCandidateList::ReSize(size_t length) {
   mutex_.lock();
   capacity_ = length;
@@ -301,7 +402,7 @@ int InMemoryDataFeed<T>::Next() {
               << ", thread_id=" << thread_id_;
     }
   } else {
-    VLOG(3) << "enable heter NEXT: " << offset_index_
+    VLOG(3) << "enable heter next: " << offset_index_
             << " batch_offsets: " << batch_offsets_.size();
     if (offset_index_ >= batch_offsets_.size()) {
       VLOG(3) << "offset_index: " << offset_index_
@@ -318,14 +419,7 @@ int InMemoryDataFeed<T>::Next() {
       VLOG(3) << "finish reading for heterps, batch size zero, thread_id="
               << thread_id_;
     }
-    /*
-    if (offset_index_ == batch_offsets_.size() - 1) {
-      std::vector<Record> data;
-      output_channel_->ReadAll(data);
-      consume_channel_->Write(std::move(data));
-    }
-    */
-    VLOG(3) << "#15 enable heter NEXT: " << offset_index_
+    VLOG(3) << "enable heter next: " << offset_index_
             << " batch_offsets: " << batch_offsets_.size()
             << " baych_size: " << this->batch_size_;
   }
diff --git a/paddle/fluid/framework/data_feed.h b/paddle/fluid/framework/data_feed.h
index 198bc51463af3501f05fe21c2dd864de2b5c302a..5527eaf1f6fa4dea8bdd1409c773d294413a7b48 100644
--- a/paddle/fluid/framework/data_feed.h
+++ b/paddle/fluid/framework/data_feed.h
@@ -39,8 +39,14 @@ limitations under the License. */
 #include "paddle/fluid/framework/lod_tensor.h"
 #include "paddle/fluid/framework/reader.h"
 #include "paddle/fluid/framework/variable.h"
+#include "paddle/fluid/platform/timer.h"
 #include "paddle/fluid/string/string_helper.h"
 
+DECLARE_int32(record_pool_max_size);
+DECLARE_int32(slotpool_thread_num);
+DECLARE_bool(enable_slotpool_wait_release);
+DECLARE_bool(enable_slotrecord_reset_shrink);
+
 namespace paddle {
 namespace framework {
 class DataFeedDesc;
@@ -69,6 +75,50 @@ namespace framework {
 //   while (reader->Next()) {
 //      // trainer do something
 //   }
+
+template <typename T>
+struct SlotValues {
+  std::vector<T> slot_values;
+  std::vector<uint32_t> slot_offsets;
+
+  void add_values(const T* values, uint32_t num) {
+    if (slot_offsets.empty()) {
+      slot_offsets.push_back(0);
+    }
+    if (num > 0) {
+      slot_values.insert(slot_values.end(), values, values + num);
+    }
+    slot_offsets.push_back(static_cast<uint32_t>(slot_values.size()));
+  }
+  T* get_values(int idx, size_t* size) {
+    uint32_t& offset = slot_offsets[idx];
+    (*size) = slot_offsets[idx + 1] - offset;
+    return &slot_values[offset];
+  }
+  void add_slot_feasigns(const std::vector<std::vector<T>>& slot_feasigns,
+                         uint32_t fea_num) {
+    slot_values.reserve(fea_num);
+    int slot_num = static_cast<int>(slot_feasigns.size());
+    slot_offsets.resize(slot_num + 1);
+    for (int i = 0; i < slot_num; ++i) {
+      auto& slot_val = slot_feasigns[i];
+      slot_offsets[i] = static_cast<uint32_t>(slot_values.size());
+      uint32_t num = static_cast<uint32_t>(slot_val.size());
+      if (num > 0) {
+        slot_values.insert(slot_values.end(), slot_val.begin(), slot_val.end());
+      }
+    }
+    slot_offsets[slot_num] = slot_values.size();
+  }
+  void clear(bool shrink) {
+    slot_offsets.clear();
+    slot_values.clear();
+    if (shrink) {
+      slot_values.shrink_to_fit();
+      slot_offsets.shrink_to_fit();
+    }
+  }
+};
 union FeatureFeasign {
   uint64_t uint64_feasign_;
   float float_feasign_;
@@ -97,6 +147,38 @@ struct FeatureItem {
   uint16_t slot_;
 };
 
+struct AllSlotInfo {
+  std::string slot;
+  std::string type;
+  int used_idx;
+  int slot_value_idx;
+};
+struct UsedSlotInfo {
+  int idx;
+  int slot_value_idx;
+  std::string slot;
+  std::string type;
+  bool dense;
+  std::vector<int> local_shape;
+  int total_dims_without_inductive;
+  int inductive_shape_index;
+};
+struct SlotRecordObject {
+  uint64_t search_id;
+  uint32_t rank;
+  uint32_t cmatch;
+  std::string ins_id_;
+  SlotValues<uint64_t> slot_uint64_feasigns_;
+  SlotValues<float> slot_float_feasigns_;
+
+  ~SlotRecordObject() { clear(true); }
+  void reset(void) { clear(FLAGS_enable_slotrecord_reset_shrink); }
+  void clear(bool shrink) {
+    slot_uint64_feasigns_.clear(shrink);
+    slot_float_feasigns_.clear(shrink);
+  }
+};
+using SlotRecord = SlotRecordObject*;
 // sizeof Record is much less than std::vector<MultiSlotType>
 struct Record {
   std::vector<FeatureItem> uint64_feasigns_;
@@ -108,6 +190,179 @@ struct Record {
   uint32_t cmatch;
 };
 
+inline SlotRecord make_slotrecord() {
+  static const size_t slot_record_byte_size = sizeof(SlotRecordObject);
+  void* p = malloc(slot_record_byte_size);
+  new (p) SlotRecordObject;
+  return reinterpret_cast<SlotRecordObject*>(p);
+}
+
+inline void free_slotrecord(SlotRecordObject* p) {
+  p->~SlotRecordObject();
+  free(p);
+}
+
+template <class T>
+class SlotObjAllocator {
+ public:
+  explicit SlotObjAllocator(std::function<void(T*)> deleter)
+      : free_nodes_(NULL), capacity_(0), deleter_(deleter) {}
+  ~SlotObjAllocator() { clear(); }
+
+  void clear() {
+    T* tmp = NULL;
+    while (free_nodes_ != NULL) {
+      tmp = reinterpret_cast<T*>(reinterpret_cast<void*>(free_nodes_));
+      free_nodes_ = free_nodes_->next;
+      deleter_(tmp);
+      --capacity_;
+    }
+    CHECK_EQ(capacity_, static_cast<size_t>(0));
+  }
+  T* acquire(void) {
+    T* x = NULL;
+    x = reinterpret_cast<T*>(reinterpret_cast<void*>(free_nodes_));
+    free_nodes_ = free_nodes_->next;
+    --capacity_;
+    return x;
+  }
+  void release(T* x) {
+    Node* node = reinterpret_cast<Node*>(reinterpret_cast<void*>(x));
+    node->next = free_nodes_;
+    free_nodes_ = node;
+    ++capacity_;
+  }
+  size_t capacity(void) { return capacity_; }
+
+ private:
+  struct alignas(T) Node {
+    union {
+      Node* next;
+      char data[sizeof(T)];
+    };
+  };
+  Node* free_nodes_;  // a list
+  size_t capacity_;
+  std::function<void(T*)> deleter_ = nullptr;
+};
+static const int OBJPOOL_BLOCK_SIZE = 10000;
+class SlotObjPool {
+ public:
+  SlotObjPool()
+      : max_capacity_(FLAGS_record_pool_max_size), alloc_(free_slotrecord) {
+    ins_chan_ = MakeChannel<SlotRecord>();
+    ins_chan_->SetBlockSize(OBJPOOL_BLOCK_SIZE);
+    for (int i = 0; i < FLAGS_slotpool_thread_num; ++i) {
+      threads_.push_back(std::thread([this]() { run(); }));
+    }
+    disable_pool_ = false;
+    count_ = 0;
+  }
+  ~SlotObjPool() {
+    ins_chan_->Close();
+    for (auto& t : threads_) {
+      t.join();
+    }
+  }
+  void disable_pool(bool disable) { disable_pool_ = disable; }
+  void set_max_capacity(size_t max_capacity) { max_capacity_ = max_capacity; }
+  void get(std::vector<SlotRecord>* output, int n) {
+    output->resize(n);
+    return get(&(*output)[0], n);
+  }
+  void get(SlotRecord* output, int n) {
+    int size = 0;
+    mutex_.lock();
+    int left = static_cast<int>(alloc_.capacity());
+    if (left > 0) {
+      size = (left >= n) ? n : left;
+      for (int i = 0; i < size; ++i) {
+        output[i] = alloc_.acquire();
+      }
+    }
+    mutex_.unlock();
+    count_ += n;
+    if (size == n) {
+      return;
+    }
+    for (int i = size; i < n; ++i) {
+      output[i] = make_slotrecord();
+    }
+  }
+  void put(std::vector<SlotRecord>* input) {
+    size_t size = input->size();
+    if (size == 0) {
+      return;
+    }
+    put(&(*input)[0], size);
+    input->clear();
+  }
+  void put(SlotRecord* input, size_t size) {
+    CHECK(ins_chan_->WriteMove(size, input) == size);
+  }
+  void run(void) {
+    std::vector<SlotRecord> input;
+    while (ins_chan_->ReadOnce(input, OBJPOOL_BLOCK_SIZE)) {
+      if (input.empty()) {
+        continue;
+      }
+      // over max capacity
+      size_t n = input.size();
+      count_ -= n;
+      if (disable_pool_ || n + capacity() > max_capacity_) {
+        for (auto& t : input) {
+          free_slotrecord(t);
+        }
+      } else {
+        for (auto& t : input) {
+          t->reset();
+        }
+        mutex_.lock();
+        for (auto& t : input) {
+          alloc_.release(t);
+        }
+        mutex_.unlock();
+      }
+      input.clear();
+    }
+  }
+  void clear(void) {
+    platform::Timer timeline;
+    timeline.Start();
+    mutex_.lock();
+    alloc_.clear();
+    mutex_.unlock();
+    // wait release channel data
+    if (FLAGS_enable_slotpool_wait_release) {
+      while (!ins_chan_->Empty()) {
+        sleep(1);
+      }
+    }
+    timeline.Pause();
+    VLOG(3) << "clear slot pool data size=" << count_.load()
+            << ", span=" << timeline.ElapsedSec();
+  }
+  size_t capacity(void) {
+    mutex_.lock();
+    size_t total = alloc_.capacity();
+    mutex_.unlock();
+    return total;
+  }
+
+ private:
+  size_t max_capacity_;
+  Channel<SlotRecord> ins_chan_;
+  std::vector<std::thread> threads_;
+  std::mutex mutex_;
+  SlotObjAllocator<SlotRecordObject> alloc_;
+  bool disable_pool_;
+  std::atomic<long> count_;  // NOLINT
+};
+
+inline SlotObjPool& SlotRecordPool() {
+  static SlotObjPool pool;
+  return pool;
+}
 struct PvInstanceObject {
   std::vector<Record*> ads;
   void merge_instance(Record* ins) { ads.push_back(ins); }
@@ -129,7 +384,21 @@ class CustomParser {
   CustomParser() {}
   virtual ~CustomParser() {}
   virtual void Init(const std::vector<SlotConf>& slots) = 0;
+  virtual bool Init(const std::vector<AllSlotInfo>& slots) = 0;
   virtual void ParseOneInstance(const char* str, Record* instance) = 0;
+  virtual bool ParseOneInstance(
+      const std::string& line,
+      std::function<void(std::vector<SlotRecord>&, int)>
+          GetInsFunc) {  // NOLINT
+    return true;
+  }
+  virtual bool ParseFileInstance(
+      std::function<int(char* buf, int len)> ReadBuffFunc,
+      std::function<void(std::vector<SlotRecord>&, int, int)>
+          PullRecordsFunc,  // NOLINT
+      int& lines) {         // NOLINT
+    return false;
+  }
 };
 
 typedef paddle::framework::CustomParser* (*CreateParserObjectFunc)();
@@ -194,6 +463,34 @@ class DLManager {
     return nullptr;
   }
 
+  paddle::framework::CustomParser* Load(const std::string& name,
+                                        const std::vector<AllSlotInfo>& conf) {
+#ifdef _LINUX
+    std::lock_guard<std::mutex> lock(mutex_);
+    DLHandle handle;
+    std::map<std::string, DLHandle>::iterator it = handle_map_.find(name);
+    if (it != handle_map_.end()) {
+      return it->second.parser;
+    }
+    handle.module = dlopen(name.c_str(), RTLD_NOW);
+    if (handle.module == nullptr) {
+      VLOG(0) << "Create so of " << name << " fail";
+      exit(-1);
+      return nullptr;
+    }
+
+    CreateParserObjectFunc create_parser_func =
+        (CreateParserObjectFunc)dlsym(handle.module, "CreateParserObject");
+    handle.parser = create_parser_func();
+    handle.parser->Init(conf);
+    handle_map_.insert({name, handle});
+
+    return handle.parser;
+#endif
+    VLOG(0) << "Not implement in windows";
+    return nullptr;
+  }
+
   paddle::framework::CustomParser* ReLoad(const std::string& name,
                                           const std::vector<SlotConf>& conf) {
     Close(name);
@@ -415,6 +712,11 @@ class InMemoryDataFeed : public DataFeed {
   virtual void SetCurrentPhase(int current_phase);
   virtual void LoadIntoMemory();
   virtual void LoadIntoMemoryFromSo();
+  virtual void SetRecord(T* records) { records_ = records; }
+  int GetDefaultBatchSize() { return default_batch_size_; }
+  void AddBatchOffset(const std::pair<int, int>& offset) {
+    batch_offsets_.push_back(offset);
+  }
 
  protected:
   virtual bool ParseOneInstance(T* instance) = 0;
@@ -424,6 +726,11 @@ class InMemoryDataFeed : public DataFeed {
   virtual void PutToFeedVec(const std::vector<T>& ins_vec) = 0;
   virtual void PutToFeedVec(const T* ins_vec, int num) = 0;
 
+  std::vector<std::vector<float>> batch_float_feasigns_;
+  std::vector<std::vector<uint64_t>> batch_uint64_feasigns_;
+  std::vector<std::vector<size_t>> offset_;
+  std::vector<bool> visit_;
+
   int thread_id_;
   int thread_num_;
   bool parse_ins_id_;
@@ -783,11 +1090,7 @@ class MultiSlotInMemoryDataFeed : public InMemoryDataFeed<Record> {
   MultiSlotInMemoryDataFeed() {}
   virtual ~MultiSlotInMemoryDataFeed() {}
   virtual void Init(const DataFeedDesc& data_feed_desc);
-  void SetRecord(Record* records) { records_ = records; }
-  int GetDefaultBatchSize() { return default_batch_size_; }
-  void AddBatchOffset(const std::pair<int, int>& offset) {
-    batch_offsets_.push_back(offset);
-  }
+  // void SetRecord(Record* records) { records_ = records; }
 
  protected:
   virtual bool ParseOneInstance(Record* instance);
@@ -798,10 +1101,6 @@ class MultiSlotInMemoryDataFeed : public InMemoryDataFeed<Record> {
   virtual void GetMsgFromLogKey(const std::string& log_key, uint64_t* search_id,
                                 uint32_t* cmatch, uint32_t* rank);
   virtual void PutToFeedVec(const Record* ins_vec, int num);
-  std::vector<std::vector<float>> batch_float_feasigns_;
-  std::vector<std::vector<uint64_t>> batch_uint64_feasigns_;
-  std::vector<std::vector<size_t>> offset_;
-  std::vector<bool> visit_;
 };
 
 class PaddleBoxDataFeed : public MultiSlotInMemoryDataFeed {
diff --git a/paddle/fluid/framework/data_set.cc b/paddle/fluid/framework/data_set.cc
index 08c42a93d1fcbffaf0b39e0583870f5a98474d0b..82a39b206e6bd6db1afedfdd74da149160bdadd0 100644
--- a/paddle/fluid/framework/data_set.cc
+++ b/paddle/fluid/framework/data_set.cc
@@ -351,10 +351,8 @@ static int compute_thread_batch_nccl(
   return thread_avg_batch_num;
 }
 
-template <typename T>
-void DatasetImpl<T>::SetHeterPs(bool enable_heterps) {
+void MultiSlotDataset::PrepareTrain() {
 #ifdef PADDLE_WITH_GLOO
-  enable_heterps_ = enable_heterps;
   if (enable_heterps_) {
     if (input_records_.size() == 0 && input_channel_ != nullptr &&
         input_channel_->Size() != 0) {
@@ -541,22 +539,21 @@ void DatasetImpl<T>::LocalShuffle() {
           << timeline.ElapsedSec() << " seconds";
 }
 
-template <typename T>
-void DatasetImpl<T>::GlobalShuffle(int thread_num) {
+void MultiSlotDataset::GlobalShuffle(int thread_num) {
 #ifdef PADDLE_WITH_PSLIB
-  VLOG(3) << "DatasetImpl<T>::GlobalShuffle() begin";
+  VLOG(3) << "MultiSlotDataset::GlobalShuffle() begin";
   platform::Timer timeline;
   timeline.Start();
   auto fleet_ptr = FleetWrapper::GetInstance();
 
   if (!input_channel_ || input_channel_->Size() == 0) {
-    VLOG(3) << "DatasetImpl<T>::GlobalShuffle() end, no data to shuffle";
+    VLOG(3) << "MultiSlotDataset::GlobalShuffle() end, no data to shuffle";
     return;
   }
 
   // local shuffle
   input_channel_->Close();
-  std::vector<T> data;
+  std::vector<Record> data;
   input_channel_->ReadAll(data);
   std::shuffle(data.begin(), data.end(), fleet_ptr->LocalRandomEngine());
   input_channel_->Open();
@@ -566,10 +563,10 @@ void DatasetImpl<T>::GlobalShuffle(int thread_num) {
 
   input_channel_->Close();
   input_channel_->SetBlockSize(fleet_send_batch_size_);
-  VLOG(3) << "DatasetImpl<T>::GlobalShuffle() input_channel_ size "
+  VLOG(3) << "MultiSlotDataset::GlobalShuffle() input_channel_ size "
           << input_channel_->Size();
 
-  auto get_client_id = [this, fleet_ptr](const T& data) -> size_t {
+  auto get_client_id = [this, fleet_ptr](const Record& data) -> size_t {
     if (!this->merge_by_insid_) {
       return fleet_ptr->LocalRandomEngine()() % this->trainer_num_;
     } else {
@@ -580,7 +577,7 @@ void DatasetImpl<T>::GlobalShuffle(int thread_num) {
 
   auto global_shuffle_func = [this, get_client_id]() {
     auto fleet_ptr = FleetWrapper::GetInstance();
-    std::vector<T> data;
+    std::vector<Record> data;
     while (this->input_channel_->Read(data)) {
       std::vector<paddle::framework::BinaryArchive> ars(this->trainer_num_);
       for (auto& t : data) {
@@ -835,9 +832,6 @@ void DatasetImpl<T>::CreateReaders() {
       channel_idx = 0;
     }
   }
-  if (enable_heterps_) {
-    SetHeterPs(true);
-  }
   VLOG(3) << "readers size: " << readers_.size();
 }
 
@@ -923,9 +917,8 @@ int64_t DatasetImpl<T>::GetShuffleDataSize() {
   return sum;
 }
 
-template <typename T>
-int DatasetImpl<T>::ReceiveFromClient(int msg_type, int client_id,
-                                      const std::string& msg) {
+int MultiSlotDataset::ReceiveFromClient(int msg_type, int client_id,
+                                        const std::string& msg) {
 #ifdef _LINUX
   VLOG(3) << "ReceiveFromClient msg_type=" << msg_type
           << ", client_id=" << client_id << ", msg length=" << msg.length();
@@ -937,9 +930,9 @@ int DatasetImpl<T>::ReceiveFromClient(int msg_type, int client_id,
   if (ar.Cursor() == ar.Finish()) {
     return 0;
   }
-  std::vector<T> data;
+  std::vector<Record> data;
   while (ar.Cursor() < ar.Finish()) {
-    data.push_back(ar.Get<T>());
+    data.push_back(ar.Get<Record>());
   }
   CHECK(ar.Cursor() == ar.Finish());
 
@@ -966,6 +959,20 @@ int DatasetImpl<T>::ReceiveFromClient(int msg_type, int client_id,
 // explicit instantiation
 template class DatasetImpl<Record>;
 
+void MultiSlotDataset::DynamicAdjustReadersNum(int thread_num) {
+  if (thread_num_ == thread_num) {
+    VLOG(3) << "DatasetImpl<T>::DynamicAdjustReadersNum thread_num_="
+            << thread_num_ << ", thread_num_=thread_num, no need to adjust";
+    return;
+  }
+  VLOG(3) << "adjust readers num from " << thread_num_ << " to " << thread_num;
+  thread_num_ = thread_num;
+  std::vector<std::shared_ptr<paddle::framework::DataFeed>>().swap(readers_);
+  CreateReaders();
+  VLOG(3) << "adjust readers num done";
+  PrepareTrain();
+}
+
 void MultiSlotDataset::PostprocessInstance() {
   // divide pv instance, and merge to input_channel_
   if (enable_pv_merge_) {
@@ -1503,5 +1510,126 @@ void MultiSlotDataset::SlotsShuffle(
           << ", cost time=" << timeline.ElapsedSec() << " seconds";
 }
 
+template class DatasetImpl<SlotRecord>;
+void SlotRecordDataset::CreateChannel() {
+  if (input_channel_ == nullptr) {
+    input_channel_ = paddle::framework::MakeChannel<SlotRecord>();
+  }
+}
+void SlotRecordDataset::CreateReaders() {
+  VLOG(3) << "Calling CreateReaders()";
+  VLOG(3) << "thread num in Dataset: " << thread_num_;
+  VLOG(3) << "Filelist size in Dataset: " << filelist_.size();
+  VLOG(3) << "channel num in Dataset: " << channel_num_;
+  CHECK(thread_num_ > 0) << "thread num should > 0";
+  CHECK(channel_num_ > 0) << "channel num should > 0";
+  CHECK(channel_num_ <= thread_num_) << "channel num should <= thread num";
+  VLOG(3) << "readers size: " << readers_.size();
+  if (readers_.size() != 0) {
+    VLOG(3) << "readers_.size() = " << readers_.size()
+            << ", will not create again";
+    return;
+  }
+  VLOG(3) << "data feed class name: " << data_feed_desc_.name();
+  for (int i = 0; i < thread_num_; ++i) {
+    readers_.push_back(DataFeedFactory::CreateDataFeed(data_feed_desc_.name()));
+    readers_[i]->Init(data_feed_desc_);
+    readers_[i]->SetThreadId(i);
+    readers_[i]->SetThreadNum(thread_num_);
+    readers_[i]->SetFileListMutex(&mutex_for_pick_file_);
+    readers_[i]->SetFileListIndex(&file_idx_);
+    readers_[i]->SetFeaNumMutex(&mutex_for_fea_num_);
+    readers_[i]->SetFeaNum(&total_fea_num_);
+    readers_[i]->SetFileList(filelist_);
+    readers_[i]->SetParseInsId(parse_ins_id_);
+    readers_[i]->SetParseContent(parse_content_);
+    readers_[i]->SetParseLogKey(parse_logkey_);
+    readers_[i]->SetEnablePvMerge(enable_pv_merge_);
+    readers_[i]->SetCurrentPhase(current_phase_);
+    if (input_channel_ != nullptr) {
+      readers_[i]->SetInputChannel(input_channel_.get());
+    }
+  }
+  VLOG(3) << "readers size: " << readers_.size();
+}
+
+void SlotRecordDataset::ReleaseMemory() {
+  VLOG(3) << "SlotRecordDataset::ReleaseMemory() begin";
+  platform::Timer timeline;
+  timeline.Start();
+
+  if (input_channel_) {
+    input_channel_->Clear();
+    input_channel_ = nullptr;
+  }
+  if (enable_heterps_) {
+    VLOG(3) << "put pool records size: " << input_records_.size();
+    SlotRecordPool().put(&input_records_);
+    input_records_.clear();
+    input_records_.shrink_to_fit();
+    VLOG(3) << "release heterps input records records size: "
+            << input_records_.size();
+  }
+
+  readers_.clear();
+  readers_.shrink_to_fit();
+
+  std::vector<std::shared_ptr<paddle::framework::DataFeed>>().swap(readers_);
+
+  VLOG(3) << "SlotRecordDataset::ReleaseMemory() end";
+  VLOG(3) << "total_feasign_num_(" << STAT_GET(STAT_total_feasign_num_in_mem)
+          << ") - current_fea_num_(" << total_fea_num_ << ") = ("
+          << STAT_GET(STAT_total_feasign_num_in_mem) - total_fea_num_ << ")"
+          << " object pool size=" << SlotRecordPool().capacity();  // For Debug
+  STAT_SUB(STAT_total_feasign_num_in_mem, total_fea_num_);
+}
+void SlotRecordDataset::GlobalShuffle(int thread_num) {
+  // TODO(yaoxuefeng)
+  return;
+}
+
+void SlotRecordDataset::DynamicAdjustChannelNum(int channel_num,
+                                                bool discard_remaining_ins) {
+  if (channel_num_ == channel_num) {
+    VLOG(3) << "DatasetImpl<T>::DynamicAdjustChannelNum channel_num_="
+            << channel_num_ << ", channel_num_=channel_num, no need to adjust";
+    return;
+  }
+  VLOG(3) << "adjust channel num from " << channel_num_ << " to "
+          << channel_num;
+  channel_num_ = channel_num;
+
+  if (static_cast<int>(input_channel_->Size()) >= channel_num) {
+    input_channel_->SetBlockSize(input_channel_->Size() / channel_num +
+                                 (discard_remaining_ins ? 0 : 1));
+  }
+
+  VLOG(3) << "adjust channel num done";
+}
+
+void SlotRecordDataset::PrepareTrain() {
+#ifdef PADDLE_WITH_GLOO
+  return;
+#else
+  PADDLE_THROW(platform::errors::Unavailable(
+      "dataset set heterps need compile with GLOO"));
+#endif
+  return;
+}
+
+void SlotRecordDataset::DynamicAdjustReadersNum(int thread_num) {
+  if (thread_num_ == thread_num) {
+    VLOG(3) << "DatasetImpl<T>::DynamicAdjustReadersNum thread_num_="
+            << thread_num_ << ", thread_num_=thread_num, no need to adjust";
+    return;
+  }
+  VLOG(3) << "adjust readers num from " << thread_num_ << " to " << thread_num;
+  thread_num_ = thread_num;
+  std::vector<std::shared_ptr<paddle::framework::DataFeed>>().swap(readers_);
+  CreateReaders();
+  VLOG(3) << "adjust readers num done";
+  PrepareTrain();
+}
+
 }  // end namespace framework
 }  // end namespace paddle
diff --git a/paddle/fluid/framework/data_set.h b/paddle/fluid/framework/data_set.h
index f3ee96fab8297f4c489579f530f5e6eb697facdd..981fb694e0fec902ac07c9edbb1b4456d723c918 100644
--- a/paddle/fluid/framework/data_set.h
+++ b/paddle/fluid/framework/data_set.h
@@ -149,7 +149,6 @@ class Dataset {
   virtual void DynamicAdjustReadersNum(int thread_num) = 0;
   // set fleet send sleep seconds
   virtual void SetFleetSendSleepSeconds(int seconds) = 0;
-  virtual void SetHeterPs(bool enable_heterps) = 0;
 
  protected:
   virtual int ReceiveFromClient(int msg_type, int client_id,
@@ -207,7 +206,7 @@ class DatasetImpl : public Dataset {
   virtual void WaitPreLoadDone();
   virtual void ReleaseMemory();
   virtual void LocalShuffle();
-  virtual void GlobalShuffle(int thread_num = -1);
+  virtual void GlobalShuffle(int thread_num = -1) {}
   virtual void SlotsShuffle(const std::set<std::string>& slots_to_replace) {}
   virtual const std::vector<T>& GetSlotsOriginalData() {
     return slots_shuffle_original_data_;
@@ -233,7 +232,11 @@ class DatasetImpl : public Dataset {
                                        bool discard_remaining_ins = false);
   virtual void DynamicAdjustReadersNum(int thread_num);
   virtual void SetFleetSendSleepSeconds(int seconds);
-  virtual void SetHeterPs(bool enable_heterps);
+  /* for enable_heterps_
+  virtual void EnableHeterps(bool enable_heterps) {
+    enable_heterps_ = enable_heterps;
+  }
+  */
 
   std::vector<paddle::framework::Channel<T>>& GetMultiOutputChannel() {
     return multi_output_channel_;
@@ -251,7 +254,10 @@ class DatasetImpl : public Dataset {
 
  protected:
   virtual int ReceiveFromClient(int msg_type, int client_id,
-                                const std::string& msg);
+                                const std::string& msg) {
+    // TODO(yaoxuefeng) for SlotRecordDataset
+    return -1;
+  }
   std::vector<std::shared_ptr<paddle::framework::DataFeed>> readers_;
   std::vector<std::shared_ptr<paddle::framework::DataFeed>> preload_readers_;
   paddle::framework::Channel<T> input_channel_;
@@ -327,6 +333,32 @@ class MultiSlotDataset : public DatasetImpl<Record> {
       const std::unordered_set<uint16_t>& slots_to_replace,
       std::vector<Record>* result);
   virtual ~MultiSlotDataset() {}
+  virtual void GlobalShuffle(int thread_num = -1);
+  virtual void DynamicAdjustReadersNum(int thread_num);
+  virtual void PrepareTrain();
+
+ protected:
+  virtual int ReceiveFromClient(int msg_type, int client_id,
+                                const std::string& msg);
+};
+class SlotRecordDataset : public DatasetImpl<SlotRecord> {
+ public:
+  SlotRecordDataset() { SlotRecordPool(); }
+  virtual ~SlotRecordDataset() {}
+  // create input channel
+  virtual void CreateChannel();
+  // create readers
+  virtual void CreateReaders();
+  // release memory
+  virtual void ReleaseMemory();
+  virtual void GlobalShuffle(int thread_num = -1);
+  virtual void DynamicAdjustChannelNum(int channel_num,
+                                       bool discard_remaining_ins);
+  virtual void PrepareTrain();
+  virtual void DynamicAdjustReadersNum(int thread_num);
+
+ protected:
+  bool enable_heterps_ = true;
 };
 
 }  // end namespace framework
diff --git a/paddle/fluid/framework/dataset_factory.cc b/paddle/fluid/framework/dataset_factory.cc
index aeaf9611853238c7cc1dcd726ac23c9dfb71d9b6..38200927c5586f32403358dc6fcdaf6a34ffb495 100644
--- a/paddle/fluid/framework/dataset_factory.cc
+++ b/paddle/fluid/framework/dataset_factory.cc
@@ -53,7 +53,7 @@ std::unique_ptr<Dataset> DatasetFactory::CreateDataset(
     std::string dataset_class) {
   if (g_dataset_map.count(dataset_class) < 1) {
     LOG(WARNING) << "Your Dataset " << dataset_class
-                 << "is not supported currently";
+                 << " is not supported currently";
     LOG(WARNING) << "Supported Dataset: " << DatasetTypeList();
     exit(-1);
   }
@@ -61,5 +61,6 @@ std::unique_ptr<Dataset> DatasetFactory::CreateDataset(
 }
 
 REGISTER_DATASET_CLASS(MultiSlotDataset);
+REGISTER_DATASET_CLASS(SlotRecordDataset);
 }  // namespace framework
 }  // namespace paddle
diff --git a/paddle/fluid/platform/flags.cc b/paddle/fluid/platform/flags.cc
index b97c3106439bede55a6faafee980e7226702733f..1a19bb3aa97f0219470ed708699e24ab6bb9d4f3 100644
--- a/paddle/fluid/platform/flags.cc
+++ b/paddle/fluid/platform/flags.cc
@@ -673,3 +673,11 @@ PADDLE_DEFINE_EXPORTED_int32(get_host_by_name_time, 120,
 PADDLE_DEFINE_EXPORTED_bool(
     apply_pass_to_program, false,
     "It controls whether to apply IR pass to program when using Fleet APIs");
+
+DEFINE_int32(record_pool_max_size, 2000000,
+             "SlotRecordDataset slot record pool max size");
+DEFINE_int32(slotpool_thread_num, 1, "SlotRecordDataset slot pool thread num");
+DEFINE_bool(enable_slotpool_wait_release, false,
+            "enable slotrecord obejct wait release, default false");
+DEFINE_bool(enable_slotrecord_reset_shrink, false,
+            "enable slotrecord obejct reset shrink memory, default false");
\ No newline at end of file
diff --git a/paddle/fluid/pybind/data_set_py.cc b/paddle/fluid/pybind/data_set_py.cc
index 41cf0189d3d9d0930acd9cc08621aa00559a0d1f..7a32d8729fc6ca48a00f319d5c2fd278d3736288 100644
--- a/paddle/fluid/pybind/data_set_py.cc
+++ b/paddle/fluid/pybind/data_set_py.cc
@@ -309,8 +309,6 @@ void BindDataset(py::module *m) {
            &framework::Dataset::SetFleetSendSleepSeconds,
            py::call_guard<py::gil_scoped_release>())
       .def("enable_pv_merge", &framework::Dataset::EnablePvMerge,
-           py::call_guard<py::gil_scoped_release>())
-      .def("set_heter_ps", &framework::Dataset::SetHeterPs,
            py::call_guard<py::gil_scoped_release>());
 
   py::class_<IterableDatasetWrapper>(*m, "IterableDatasetWrapper")