diff --git a/include/api/status.h b/include/api/status.h
index ef91a900571..e59f16e4fea 100644
--- a/include/api/status.h
+++ b/include/api/status.h
@@ -141,7 +141,7 @@ class MS_API Status {
 
  private:
   // api without std::string
-  explicit Status(enum StatusCode status_code, const std::vector<char> &status_msg);
+  Status(enum StatusCode status_code, const std::vector<char> &status_msg);
   Status(const enum StatusCode code, int line_of_code, const char *file_name, const std::vector<char> &extra);
   std::vector<char> ToCString() const;
   std::vector<char> GetErrDescriptionChar() const;
diff --git a/mindspore/ccsrc/minddata/dataset/api/execute.cc b/mindspore/ccsrc/minddata/dataset/api/execute.cc
index aed2e5f90a3..e1ee279dd72 100644
--- a/mindspore/ccsrc/minddata/dataset/api/execute.cc
+++ b/mindspore/ccsrc/minddata/dataset/api/execute.cc
@@ -454,6 +454,10 @@ std::vector<float> AippStdFilter(const std::vector<uint32_t> &normalize_para) {
   if (normalize_para.size() == 6) {  // If Normalize operator exist
     auto zeros = std::find(std::begin(normalize_para), std::end(normalize_para), 0);
     if (zeros == std::end(normalize_para)) {
+      if (std::any_of(normalize_para.begin() + 3, normalize_para.end(), [](uint32_t i) { return i == 0; })) {
+        MS_LOG(ERROR) << "value in normalize para got 0.";
+        return {};
+      }
       std::transform(normalize_para.begin() + 3, normalize_para.end(), std::back_inserter(aipp_std),
                      [](uint32_t i) { return 10000 / static_cast<float>(i); });
     } else {  // If 0 occurs in std vector
diff --git a/mindspore/ccsrc/minddata/dataset/api/python/pybind_conversion.cc b/mindspore/ccsrc/minddata/dataset/api/python/pybind_conversion.cc
index 79620e3176a..53af77025b0 100644
--- a/mindspore/ccsrc/minddata/dataset/api/python/pybind_conversion.cc
+++ b/mindspore/ccsrc/minddata/dataset/api/python/pybind_conversion.cc
@@ -83,7 +83,7 @@ std::unordered_map<int32_t, std::vector<pid_t>> toIntMap(const py::dict input_di
 
 std::pair<int64_t, int64_t> toIntPair(const py::tuple tuple) {
   std::pair<int64_t, int64_t> pair;
-  if (!tuple.empty()) {
+  if (tuple.size() == 2) {
     pair = std::make_pair(toInt64((tuple)[0]), toInt64((tuple)[1]));
   }
   return pair;
diff --git a/mindspore/ccsrc/minddata/dataset/engine/ir/datasetops/dataset_node.cc b/mindspore/ccsrc/minddata/dataset/engine/ir/datasetops/dataset_node.cc
index a08adbcdabb..7b904f2c27c 100644
--- a/mindspore/ccsrc/minddata/dataset/engine/ir/datasetops/dataset_node.cc
+++ b/mindspore/ccsrc/minddata/dataset/engine/ir/datasetops/dataset_node.cc
@@ -23,6 +23,7 @@
 
 #include "minddata/dataset/engine/opt/pass.h"
 #include "minddata/dataset/util/random.h"
+#include "minddata/dataset/util/status.h"
 
 namespace mindspore {
 namespace dataset {
@@ -77,6 +78,8 @@ Status ValidateDatasetDirParam(const std::string &dataset_name, std::string data
     RETURN_STATUS_SYNTAX_ERROR(err_msg);
   }
 
+  std::string real_path;
+  RETURN_IF_NOT_OK(Path::RealPath(dataset_dir, real_path));
   Path dir(dataset_dir);
   if (!dir.IsDirectory()) {
     std::string err_msg = dataset_name + ": dataset_dir: [" + dataset_dir + "] is an invalid directory path.";
diff --git a/mindspore/ccsrc/minddata/dataset/include/dataset/data_helper.h b/mindspore/ccsrc/minddata/dataset/include/dataset/data_helper.h
index e51195ba3b9..80aec6ba97f 100644
--- a/mindspore/ccsrc/minddata/dataset/include/dataset/data_helper.h
+++ b/mindspore/ccsrc/minddata/dataset/include/dataset/data_helper.h
@@ -325,6 +325,9 @@ class DataHelper {
         return Status(kMDUnexpectedError, "Error opening Bin file to write");
       }
       size_t length = data.size();
+      if (length == 0) {
+        return Status(kMDUnexpectedError, "size of data is 0 when written into file.");
+      }
       o.write(reinterpret_cast<const char *>(&data[0]), std::streamsize(length * sizeof(T)));
       o.close();
     }
diff --git a/mindspore/ccsrc/minddata/dataset/include/dataset/iterator.h b/mindspore/ccsrc/minddata/dataset/include/dataset/iterator.h
index 7bbb8152ac0..c707c95ccdf 100644
--- a/mindspore/ccsrc/minddata/dataset/include/dataset/iterator.h
+++ b/mindspore/ccsrc/minddata/dataset/include/dataset/iterator.h
@@ -64,6 +64,9 @@ class Iterator {
   /// \param[out] row The output tensor row.
   /// \return Status error code, returns OK if no error encountered.
   Status GetNextRow(MSTensorMap *row) {
+    if (row == nullptr) {
+      return Status(kMDUnexpectedError, "Got nullptr when GetNext row.");
+    }
     MSTensorMapChar row_;
     row_.clear();
     row->clear();
diff --git a/mindspore/ccsrc/minddata/dataset/include/dataset/samplers.h b/mindspore/ccsrc/minddata/dataset/include/dataset/samplers.h
index 710e1317247..d76aee601e8 100644
--- a/mindspore/ccsrc/minddata/dataset/include/dataset/samplers.h
+++ b/mindspore/ccsrc/minddata/dataset/include/dataset/samplers.h
@@ -82,8 +82,8 @@ class DistributedSampler final : public Sampler {
   /// \param[in] offset The starting position where access to elements in the dataset begins (default=-1).
   /// \param[in] even_dist If true, each shard would return the same number of rows (default=true).
   ///     If false the total rows returned by all the shards would not have overlap.
-  explicit DistributedSampler(int64_t num_shards, int64_t shard_id, bool shuffle = true, int64_t num_samples = 0,
-                              uint32_t seed = 1, int64_t offset = -1, bool even_dist = true);
+  DistributedSampler(int64_t num_shards, int64_t shard_id, bool shuffle = true, int64_t num_samples = 0,
+                     uint32_t seed = 1, int64_t offset = -1, bool even_dist = true);
   /// \brief Destructor.
   ~DistributedSampler() = default;