diff --git a/paddle/fluid/distributed/ps/table/common_graph_table.cc b/paddle/fluid/distributed/ps/table/common_graph_table.cc
index b326870a3a7b0e7d28417b8d18d002e195fa9d54..dcce46270d02671d2f26ab20e5ac127a72b1a636 100644
--- a/paddle/fluid/distributed/ps/table/common_graph_table.cc
+++ b/paddle/fluid/distributed/ps/table/common_graph_table.cc
@@ -73,7 +73,7 @@ int CompleteGraphSampler::run_graph_sampling() {
   }
   for (size_t i = 0; i < tasks.size(); i++) tasks[i].get();
   tasks.clear();
-  for (size_t i = 0; i < gpu_num; i++) {
+  for (int i = 0; i < gpu_num; i++) {
     tasks.push_back(
         graph_table->_shards_task_pool[i % graph_table->task_pool_size_]
             ->enqueue([&, i, this]() -> int {
@@ -101,7 +101,7 @@ int CompleteGraphSampler::run_graph_sampling() {
     pthread_rwlock_unlock(rw_lock);
     return 0;
   }
-  for (size_t i = 0; i < gpu_num; i++) {
+  for (int i = 0; i < gpu_num; i++) {
     sample_res[i].node_list = sample_nodes[i].data();
     sample_res[i].neighbor_list = sample_neighbors[i].data();
     sample_res[i].node_size = sample_nodes[i].size();
@@ -136,8 +136,7 @@ int BasicBfsGraphSampler::run_graph_sampling() {
     int task_size = 0;
     std::vector<std::future<int>> tasks;
     int init_size = 0;
-    //__sync_fetch_and_add
-    std::function<int(int, int64_t)> bfs = [&, this](int i, int id) -> int {
+    std::function<int(int, int64_t)> bfs = [&, this](int i, int64_t id) -> int {
       if (this->status == GraphSamplerStatus::terminating) {
         int task_left = __sync_sub_and_fetch(&task_size, 1);
         if (task_left == 0) {
@@ -196,7 +195,7 @@ int BasicBfsGraphSampler::run_graph_sampling() {
       pthread_rwlock_unlock(rw_lock);
       return 0;
     }
-    std::cout << "bfs over" << std::endl;
+    VLOG(0) << "BasicBfsGraphSampler finishes the graph searching task";
     sample_nodes.clear();
     sample_neighbors.clear();
     sample_res.clear();
@@ -244,7 +243,7 @@ int BasicBfsGraphSampler::run_graph_sampling() {
       pthread_rwlock_unlock(rw_lock);
       return 0;
     }
-    for (size_t i = 0; i < gpu_num; i++) {
+    for (size_t i = 0; i < (size_t)gpu_num; i++) {
       tasks.push_back(
           graph_table->_shards_task_pool[i % graph_table->task_pool_size_]
               ->enqueue([&, i, this]() -> int {
@@ -253,19 +252,15 @@ int BasicBfsGraphSampler::run_graph_sampling() {
                   return 0;
                 }
                 int total_offset = 0;
-                size_t ind = i % graph_table->task_pool_size_;
                 for (int j = 0; j < this->graph_table->task_pool_size_; j++) {
-                  for (size_t k = 0; k < sample_nodes_ex[j][ind].size(); k++) {
-                    sample_nodes[i].push_back(sample_nodes_ex[j][ind][k]);
+                  for (size_t k = 0; k < sample_nodes_ex[j][i].size(); k++) {
+                    sample_nodes[i].push_back(sample_nodes_ex[j][i][k]);
                     sample_nodes[i].back().neighbor_offset += total_offset;
-                    // neighbor_offset[i].push_back(total_offset +
-                    // neighbor_offset_ex[j][i][k]);
                   }
-                  size_t neighbor_size = sample_neighbors_ex[j][ind].size();
+                  size_t neighbor_size = sample_neighbors_ex[j][i].size();
                   total_offset += neighbor_size;
                   for (size_t k = 0; k < neighbor_size; k++) {
-                    sample_neighbors[ind].push_back(
-                        sample_neighbors_ex[j][ind][k]);
+                    sample_neighbors[i].push_back(sample_neighbors_ex[j][i][k]);
                   }
                 }
                 return 0;
@@ -276,9 +271,7 @@ int BasicBfsGraphSampler::run_graph_sampling() {
       pthread_rwlock_unlock(rw_lock);
       return 0;
     }
-    // int64_t total_neighbors =
-    // std::accumulate(shard_neighbor_size.begin(),shard_neighbor_size.end(),0);
-    for (size_t i = 0; i < gpu_num; i++) {
+    for (int i = 0; i < gpu_num; i++) {
       sample_res[i].node_list = sample_nodes[i].data();
       sample_res[i].neighbor_list = sample_neighbors[i].data();
       sample_res[i].node_size = sample_nodes[i].size();
@@ -683,7 +676,7 @@ int32_t GraphTable::load_edges(const std::string &path, bool reverse_edge) {
   sort(index.begin(), index.end(), [&](int &a, int &b) {
     return has_alloc[a] - alloc[a] < has_alloc[b] - alloc[b];
   });
-  int left = 0, right = index.size() - 1;
+  int left = 0, right = (int)index.size() - 1;
   while (left < right) {
     if (has_alloc[index[right]] - alloc[index[right]] == 0) break;
     int x = std::min(alloc[index[left]] - has_alloc[index[left]],
@@ -1152,7 +1145,7 @@ int32_t GraphTable::initialize(const GraphParameter &graph) {
   shard_end = shard_start + shard_num_per_server;
   VLOG(0) << "in init graph table shard idx = " << _shard_idx << " shard_start "
           << shard_start << " shard_end " << shard_end;
-  for (int i = 0; i < shard_num_per_server; i++) {
+  for (size_t i = 0; i < shard_num_per_server; i++) {
     shards.push_back(new GraphShard());
   }
   use_duplicate_nodes = false;
diff --git a/paddle/fluid/distributed/ps/table/common_graph_table.h b/paddle/fluid/distributed/ps/table/common_graph_table.h
index 4c97cea23eaa277a81538e9c8aeacd6478bc9c51..72600b42b828247a84a344a606cbc08fe8e2b3ef 100644
--- a/paddle/fluid/distributed/ps/table/common_graph_table.h
+++ b/paddle/fluid/distributed/ps/table/common_graph_table.h
@@ -204,7 +204,7 @@ class RandomSampleLRU {
   }
 
   void process_redundant(int process_size) {
-    size_t length = std::min(remove_count, process_size);
+    int length = std::min(remove_count, process_size);
     while (length--) {
       remove(node_head);
       remove_count--;
@@ -306,12 +306,10 @@ class ScaledLRU {
 
     if ((size_t)node_size <= size_t(1.1 * size_limit) + 1) return 0;
     if (pthread_rwlock_wrlock(&rwlock) == 0) {
-      // VLOG(0)<"in shrink\n";
       global_count = 0;
       for (size_t i = 0; i < lru_pool.size(); i++) {
         global_count += lru_pool[i].node_size - lru_pool[i].remove_count;
       }
-      // VLOG(0)<<"global_count "<<global_count<<"\n";
       if ((size_t)global_count > size_limit) {
         size_t remove = global_count - size_limit;
         for (size_t i = 0; i < lru_pool.size(); i++) {
@@ -319,7 +317,6 @@ class ScaledLRU {
           lru_pool[i].remove_count +=
               1.0 * (lru_pool[i].node_size - lru_pool[i].remove_count) /
               global_count * remove;
-          // VLOG(0)<<i<<" "<<lru_pool[i].remove_count<<std::endl;
         }
       }
       pthread_rwlock_unlock(&rwlock);
@@ -332,8 +329,6 @@ class ScaledLRU {
     if (diff != 0) {
       __sync_fetch_and_add(&global_count, diff);
       if (global_count > int(1.25 * size_limit)) {
-        // VLOG(0)<<"global_count too large "<<global_count<<" enter start
-        // shrink task\n";
         thread_pool->enqueue([this]() -> int { return shrink(); });
       }
     }
diff --git a/paddle/fluid/distributed/test/graph_node_test.cc b/paddle/fluid/distributed/test/graph_node_test.cc
index a3f3c48581d6195569747cdf03ac389979caf7df..e55d39cd4834d425025a8084eb88982ef543a6f1 100644
--- a/paddle/fluid/distributed/test/graph_node_test.cc
+++ b/paddle/fluid/distributed/test/graph_node_test.cc
@@ -649,11 +649,12 @@ void testCache() {
   ASSERT_EQ((int)r.size(), 0);
 
   st.insert(0, &skey, result, 1);
-  for (int i = 0; i < st.get_ttl(); i++) {
+  for (size_t i = 0; i < st.get_ttl(); i++) {
     st.query(0, &skey, 1, r);
     ASSERT_EQ((int)r.size(), 1);
     char* p = (char*)r[0].second.buffer.get();
-    for (int j = 0; j < r[0].second.actual_size; j++) ASSERT_EQ(p[j], str[j]);
+    for (size_t j = 0; j < r[0].second.actual_size; j++)
+      ASSERT_EQ(p[j], str[j]);
     r.clear();
   }
   st.query(0, &skey, 1, r);
@@ -662,22 +663,24 @@ void testCache() {
   strcpy(str, "54321678");
   result = new ::paddle::distributed::SampleResult(strlen(str), str);
   st.insert(0, &skey, result, 1);
-  for (int i = 0; i < st.get_ttl() / 2; i++) {
+  for (size_t i = 0; i < st.get_ttl() / 2; i++) {
     st.query(0, &skey, 1, r);
     ASSERT_EQ((int)r.size(), 1);
     char* p = (char*)r[0].second.buffer.get();
-    for (int j = 0; j < r[0].second.actual_size; j++) ASSERT_EQ(p[j], str[j]);
+    for (size_t j = 0; j < r[0].second.actual_size; j++)
+      ASSERT_EQ(p[j], str[j]);
     r.clear();
   }
   str = new char[18];
   strcpy(str, "343332d4321");
   result = new ::paddle::distributed::SampleResult(strlen(str), str);
   st.insert(0, &skey, result, 1);
-  for (int i = 0; i < st.get_ttl(); i++) {
+  for (size_t i = 0; i < st.get_ttl(); i++) {
     st.query(0, &skey, 1, r);
     ASSERT_EQ((int)r.size(), 1);
     char* p = (char*)r[0].second.buffer.get();
-    for (int j = 0; j < r[0].second.actual_size; j++) ASSERT_EQ(p[j], str[j]);
+    for (size_t j = 0; j < r[0].second.actual_size; j++)
+      ASSERT_EQ(p[j], str[j]);
     r.clear();
   }
   st.query(0, &skey, 1, r);