diff --git a/mindspore/ccsrc/minddata/dataset/engine/datasetops/source/clue_op.cc b/mindspore/ccsrc/minddata/dataset/engine/datasetops/source/clue_op.cc
index 7b0650e962e59a0d37744a3d90b67883dfeae6d1..3a63ecb866fdbffbb335c09514e79bff7bd51b92 100644
--- a/mindspore/ccsrc/minddata/dataset/engine/datasetops/source/clue_op.cc
+++ b/mindspore/ccsrc/minddata/dataset/engine/datasetops/source/clue_op.cc
@@ -122,16 +122,6 @@ Status ClueOp::Reset() {
   return Status::OK();
 }
 
-Status ClueOp::LoadTensor(const std::string &line, std::unique_ptr<TensorQTable> *tensor_table, int64_t row) {
-  TensorRow tRow(1, nullptr);
-  (*tensor_table)->push_back(std::move(tRow));
-
-  std::shared_ptr<Tensor> tensor;
-  RETURN_IF_NOT_OK(Tensor::CreateScalar(line, &tensor));
-  (**tensor_table)[row][0] = std::move(tensor);
-  return Status::OK();
-}
-
 Status ClueOp::GetValue(const nlohmann::json &js, std::vector<std::string> key_chain, std::shared_ptr<Tensor> *t) {
   nlohmann::json cursor = js;
   for (int i = 0; i < key_chain.size(); i++) {
@@ -191,25 +181,24 @@ Status ClueOp::LoadFile(const std::string &file, const int64_t start_offset, con
       continue;
     }
 
+    nlohmann::json js;
     try {
-      nlohmann::json js = nlohmann::json::parse(line);
-      int cols_count = cols_to_keyword_.size();
-      TensorRow tRow(cols_count, nullptr);
-      tensor_table->push_back(std::move(tRow));
-
-      int cout = 0;
-      for (auto &p : cols_to_keyword_) {
-        std::shared_ptr<Tensor> tensor;
-        RETURN_IF_NOT_OK(GetValue(js, p.second, &tensor));
-        (*tensor_table)[rows_each_buffer][cout] = std::move(tensor);
-        cout++;
-      }
+      js = nlohmann::json::parse(line);
     } catch (const std::exception &err) {
       // Catch any exception and convert to Status return code
       RETURN_STATUS_UNEXPECTED("Failed to load json file");
     }
+    int cols_count = cols_to_keyword_.size();
+    TensorRow tRow(cols_count, nullptr);
+    tensor_table->push_back(std::move(tRow));
+    int cout = 0;
+    for (auto &p : cols_to_keyword_) {
+      std::shared_ptr<Tensor> tensor;
+      RETURN_IF_NOT_OK(GetValue(js, p.second, &tensor));
+      (*tensor_table)[rows_each_buffer][cout] = std::move(tensor);
+      cout++;
+    }
 
-    // RETURN_IF_NOT_OK(LoadTensor(line, &tensor_table, rows_each_buffer));
     rows_each_buffer++;
     rows_total++;
     if (rows_each_buffer == rows_per_buffer_) {
diff --git a/mindspore/ccsrc/minddata/dataset/engine/datasetops/source/clue_op.h b/mindspore/ccsrc/minddata/dataset/engine/datasetops/source/clue_op.h
index da7f86b34e37c9acaf8216339af8cd12925fc7b9..eea6b5aa7ecdd39a0768a60ede744b894b04f006 100644
--- a/mindspore/ccsrc/minddata/dataset/engine/datasetops/source/clue_op.h
+++ b/mindspore/ccsrc/minddata/dataset/engine/datasetops/source/clue_op.h
@@ -179,13 +179,6 @@ class ClueOp : public ParallelOp {
   // @return Status - the error code returned.
   Status WorkerEntry(int32_t worker_id) override;
 
-  // Parses a single row and puts the data into a tensor table.
-  // @param line - the content of the row.
-  // @param tensor_table - the tensor table to put the parsed data in.
-  // @param row - the id of the row filled in the tensor table.
-  // @return Status - the error code returned.
-  Status LoadTensor(const std::string &line, std::unique_ptr<TensorQTable> *tensor_table, int64_t row);
-
   // Reads a clue file and loads the data into multiple buffers.
   // @param file - the file to read.
   // @param start_offset - the start offset of file.