diff --git a/profiler/msprof_analyze/cluster_analyse/recipes/mstx2commop/mstx2commop.py b/profiler/msprof_analyze/cluster_analyse/recipes/mstx2commop/mstx2commop.py
index 6ca80230abbe90cca79d2a17da466ed5bab83c03..edc65499246624b328f24eba3b859a1ded7ab129 100644
--- a/profiler/msprof_analyze/cluster_analyse/recipes/mstx2commop/mstx2commop.py
+++ b/profiler/msprof_analyze/cluster_analyse/recipes/mstx2commop/mstx2commop.py
@@ -12,7 +12,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-
+import json
 import os
 import pandas as pd
 
@@ -82,13 +82,11 @@ class Mstx2Commop(BaseRecipeAnalysis):
             logger.warning(f"There is no stats data in {profiler_db_path}.")
             return None
 
-        df['value_list'] = df['value'].apply(lambda x: x.split(','))
-        df['value_list_len'] = df['value_list'].apply(len)
-        df = df[df['value_list_len'] == 4]
-        df['opType_primal'] = df['value_list'].apply(lambda x: 'hcom_' + x[0][9:] + '_')
-        df['groupName_primal'] = df['value_list'].apply(lambda x: x[1])
-        df['dataType'] = df['value_list'].apply(lambda x: x[2])
-        df['count'] = df['value_list'].apply(lambda x: x[3])
+        df['value'] = df['value'].apply(lambda x: json.loads(x))
+        df['opType_primal'] = df['value'].apply(lambda x: x['opName'] + '_')
+        df['groupName_primal'] = df['value'].apply(lambda x: x['groupName'])
+        df['dataType'] = df['value'].apply(lambda x: x['dataType'])
+        df['count'] = df['value'].apply(lambda x: x['count'])
 
         df['groupName_hash'] = df['groupName_primal'].apply(double_hash).apply(str)