diff --git a/mindspore/ccsrc/dataset/engine/datasetops/filter_op.cc b/mindspore/ccsrc/dataset/engine/datasetops/filter_op.cc
index e6662dea0f..ce312ce3d9 100644
--- a/mindspore/ccsrc/dataset/engine/datasetops/filter_op.cc
+++ b/mindspore/ccsrc/dataset/engine/datasetops/filter_op.cc
@@ -75,7 +75,7 @@ Status FilterOp::EoeReceived(int32_t) { return Status::OK(); }
 
 // Validating if each of the input_columns exists in the DataBuffer.
 Status FilterOp::ValidateInColumns(const std::unordered_map<std::string, int32_t> &col_name_id_map,
-                                   std::vector<std::string> *input_columns) {
+                                   const std::vector<std::string> *input_columns) {
   for (const auto &inCol : *input_columns) {
     bool found = col_name_id_map.find(inCol) != col_name_id_map.end() ? true : false;
     if (!found) {
@@ -202,7 +202,7 @@ Status FilterOp::Collector() {
 }
 
 // Private function for checking the column legality.
-Status FilterOp::CheckColumns(const DataBuffer *in_buf, std::vector<std::string> *input_columns) {
+Status FilterOp::CheckColumns(const DataBuffer *in_buf, const std::vector<std::string> *input_columns) {
   int32_t num_rows = in_buf->NumRows();
   int32_t num_cols = in_buf->NumCols();
   if (num_rows == 0 || num_cols == 0) {
diff --git a/mindspore/ccsrc/dataset/engine/datasetops/filter_op.h b/mindspore/ccsrc/dataset/engine/datasetops/filter_op.h
index b182bf8ce6..92312e0843 100644
--- a/mindspore/ccsrc/dataset/engine/datasetops/filter_op.h
+++ b/mindspore/ccsrc/dataset/engine/datasetops/filter_op.h
@@ -100,6 +100,9 @@ class FilterOp : public ParallelOp {
   FilterOp(const std::vector<std::string> &in_col_names, int32_t num_workers, int32_t op_queue_size,
            py::function predicate_func);
 
+  // Destructor
+  ~FilterOp() = default;
+
   // Class functor operator () override.
   // All dataset ops operate by launching a thread (see ExecutionTree),This class functor will
   // provide the master loop that drives the logic for performing the work.
@@ -163,14 +166,14 @@ class FilterOp : public ParallelOp {
   // @param input_columns The vector of input column names used in the current thread.
   // @return Status The error code return.
   Status ValidateInColumns(const std::unordered_map<std::string, int32_t> &col_name_id_map,
-                           std::vector<std::string> *input_columns);
+                           const std::vector<std::string> *input_columns);
 
   // Private function for checking the column legality
   // @param in_buf A raw pointer to the DataBuffer. A raw pointer is fine because this function does not manage memory
   //     and is not shared with other threads.
   // @param[out] to_process_indices Indices of columns that will feed to predicate.
   // @param input_columns The vector of input column names used in the current thread.
-  Status CheckColumns(const DataBuffer *in_buf, std::vector<std::string> *input_columns);
+  Status CheckColumns(const DataBuffer *in_buf, const std::vector<std::string> *input_columns);
 };
 
 }  // namespace dataset