diff --git a/tests/ut/python/mindrecord/test_mindrecord_exception.py b/tests/ut/python/mindrecord/test_mindrecord_exception.py
index 46c2371b244d98deb6f376191f54315a4939faa8..e37d9692a49a313bf6cf6b5224fac82fe0f6dd6d 100644
--- a/tests/ut/python/mindrecord/test_mindrecord_exception.py
+++ b/tests/ut/python/mindrecord/test_mindrecord_exception.py
@@ -15,6 +15,8 @@
 """test mindrecord exception"""
 import os
 import pytest
+
+import numpy as np
 from utils import get_data
 
 from mindspore import log as logger
@@ -341,3 +343,532 @@ def test_mindpage_filename_not_exist(fixture_cv_file):
 
     _ = ["{}{}".format(CV_FILE_NAME, str(x).rjust(1, '0'))
          for x in range(FILES_NUM)]
+
+def test_invalid_schema():
+    mindrecord_file_name = "test.mindrecord"
+    writer = FileWriter(mindrecord_file_name)
+
+    # string  =>  str
+    schema = {"file_name": {"type": "str"},
+              "label": {"type": "int32"},
+              "score": {"type": "float64"},
+              "mask": {"type": "int64", "shape": [-1]},
+              "segments": {"type": "float32", "shape": [2, 2]},
+              "data": {"type": "bytes"}}
+    with pytest.raises(Exception, match="Schema format is error"):
+        writer.add_schema(schema, "data is so cool")
+        writer.write_raw_data(data)
+        writer.commit()
+
+        os.remove("{}".format(mindrecord_file_name))
+        os.remove("{}.db".format(mindrecord_file_name))
+
+    # int32  =>  np.int32
+    schema = {"file_name": {"type": "string"},
+              "label": {"type": "np.int32"},
+              "score": {"type": "float64"},
+              "mask": {"type": "int64", "shape": [-1]},
+              "segments": {"type": "float32", "shape": [2, 2]},
+              "data": {"type": "bytes"}}
+    with pytest.raises(Exception, match="Schema format is error"):
+        writer.add_schema(schema, "data is so cool")
+        writer.write_raw_data(data)
+        writer.commit()
+
+        os.remove("{}".format(mindrecord_file_name))
+        os.remove("{}.db".format(mindrecord_file_name))
+
+    # float64  =>  np.float64
+    schema = {"file_name": {"type": "string"},
+              "label": {"type": "int32"},
+              "score": {"type": "np.float64"},
+              "mask": {"type": "int64", "shape": [-1]},
+              "segments": {"type": "float32", "shape": [2, 2]},
+              "data": {"type": "bytes"}}
+    with pytest.raises(Exception, match="Schema format is error"):
+        writer.add_schema(schema, "data is so cool")
+        writer.write_raw_data(data)
+        writer.commit()
+
+        os.remove("{}".format(mindrecord_file_name))
+        os.remove("{}.db".format(mindrecord_file_name))
+
+    # int64  =>  int8
+    schema = {"file_name": {"type": "string"},
+              "label": {"type": "int32"},
+              "score": {"type": "float64"},
+              "mask": {"type": "int8", "shape": [-1]},
+              "segments": {"type": "float32", "shape": [2, 2]},
+              "data": {"type": "bytes"}}
+    with pytest.raises(Exception, match="Schema format is error"):
+        writer.add_schema(schema, "data is so cool")
+        writer.write_raw_data(data)
+        writer.commit()
+
+        os.remove("{}".format(mindrecord_file_name))
+        os.remove("{}.db".format(mindrecord_file_name))
+
+    # int64  =>  uint64
+    schema = {"file_name": {"type": "string"},
+              "label": {"type": "int32"},
+              "score": {"type": "float64"},
+              "mask": {"type": "uint64", "shape": [-1]},
+              "segments": {"type": "float32", "shape": [2, 2]},
+              "data": {"type": "bytes"}}
+    with pytest.raises(Exception, match="Schema format is error"):
+        writer.add_schema(schema, "data is so cool")
+        writer.write_raw_data(data)
+        writer.commit()
+
+        os.remove("{}".format(mindrecord_file_name))
+        os.remove("{}.db".format(mindrecord_file_name))
+
+    # bytes  =>  byte
+    schema = {"file_name": {"type": "strint"},
+              "label": {"type": "int32"},
+              "score": {"type": "float64"},
+              "mask": {"type": "int64", "shape": [-1]},
+              "segments": {"type": "float32", "shape": [2, 2]},
+              "data": {"type": "byte"}}
+    with pytest.raises(Exception, match="Schema format is error"):
+        writer.add_schema(schema, "data is so cool")
+        writer.write_raw_data(data)
+        writer.commit()
+
+        os.remove("{}".format(mindrecord_file_name))
+        os.remove("{}.db".format(mindrecord_file_name))
+
+    # float32  => float3
+    schema = {"file_name": {"type": "string"},
+              "label": {"type": "int32"},
+              "score": {"type": "float64"},
+              "mask": {"type": "int64", "shape": [-1]},
+              "segments": {"type": "float3", "shape": [2, 88]},
+              "data": {"type": "bytes"}}
+    with pytest.raises(Exception, match="Schema format is error"):
+        writer.add_schema(schema, "data is so cool")
+        writer.write_raw_data(data)
+        writer.commit()
+
+        os.remove("{}".format(mindrecord_file_name))
+        os.remove("{}.db".format(mindrecord_file_name))
+
+    # string with shape
+    schema = {"file_name": {"type": "string", "shape": [-1]},
+              "label": {"type": "int32"},
+              "score": {"type": "float64"},
+              "mask": {"type": "int64", "shape": [-1]},
+              "segments": {"type": "float32", "shape": [2, 2]},
+              "data": {"type": "bytes"}}
+    with pytest.raises(Exception, match="Schema format is error"):
+        writer.add_schema(schema, "data is so cool")
+        writer.write_raw_data(data)
+        writer.commit()
+
+        os.remove("{}".format(mindrecord_file_name))
+        os.remove("{}.db".format(mindrecord_file_name))
+
+    # bytes with shape
+    schema = {"file_name": {"type": "string"},
+              "label": {"type": "int32"},
+              "score": {"type": "float64"},
+              "mask": {"type": "int64", "shape": [-1]},
+              "segments": {"type": "float32", "shape": [2, 2]},
+              "data": {"type": "bytes", "shape": [100]}}
+    with pytest.raises(Exception, match="Schema format is error"):
+        writer.add_schema(schema, "data is so cool")
+        writer.write_raw_data(data)
+        writer.commit()
+
+        os.remove("{}".format(mindrecord_file_name))
+        os.remove("{}.db".format(mindrecord_file_name))
+
+def test_write_with_invalid_data():
+    mindrecord_file_name = "test.mindrecord"
+
+    # field: file_name  =>  filename
+    with pytest.raises(Exception, match="Failed to write dataset"):
+        remove_one_file(mindrecord_file_name)
+        remove_one_file(mindrecord_file_name + ".db")
+
+        data = [{"filename": "001.jpg", "label": 43, "score": 0.8, "mask": np.array([3, 6, 9], dtype=np.int64),
+                 "segments": np.array([[5.0, 1.6], [65.2, 8.3]], dtype=np.float32),
+                 "data": bytes("image bytes abc", encoding='UTF-8')},
+                {"filename": "002.jpg", "label": 91, "score": 5.4, "mask": np.array([1, 4, 7], dtype=np.int64),
+                 "segments": np.array([[5.1, 9.1], [2.0, 65.4]], dtype=np.float32),
+                 "data": bytes("image bytes def", encoding='UTF-8')},
+                {"filename": "003.jpg", "label": 61, "score": 6.4, "mask": np.array([7, 6, 3], dtype=np.int64),
+                 "segments": np.array([[0.0, 5.6], [3.0, 16.3]], dtype=np.float32),
+                 "data": bytes("image bytes ghi", encoding='UTF-8')},
+                {"filename": "004.jpg", "label": 29, "score": 8.1, "mask": np.array([2, 8, 0], dtype=np.int64),
+                 "segments": np.array([[5.9, 7.2], [4.0, 89.0]], dtype=np.float32),
+                 "data": bytes("image bytes jkl", encoding='UTF-8')},
+                {"filename": "005.jpg", "label": 78, "score": 7.7, "mask": np.array([3, 1, 2], dtype=np.int64),
+                 "segments": np.array([[0.6, 8.1], [5.3, 49.3]], dtype=np.float32),
+                 "data": bytes("image bytes mno", encoding='UTF-8')},
+                {"filename": "006.jpg", "label": 37, "score": 9.4, "mask": np.array([7, 6, 7], dtype=np.int64),
+                 "segments": np.array([[4.2, 6.3], [8.9, 81.8]], dtype=np.float32),
+                 "data": bytes("image bytes pqr", encoding='UTF-8')}
+                ]
+        writer = FileWriter(mindrecord_file_name)
+        schema = {"file_name": {"type": "string"},
+                  "label": {"type": "int32"},
+                  "score": {"type": "float64"},
+                  "mask": {"type": "int64", "shape": [-1]},
+                  "segments": {"type": "float32", "shape": [2, 2]},
+                  "data": {"type": "bytes"}}
+        writer.add_schema(schema, "data is so cool")
+        writer.write_raw_data(data)
+        writer.commit()
+
+    # field: mask  =>  masks
+    with pytest.raises(Exception, match="Failed to write dataset"):
+        remove_one_file(mindrecord_file_name)
+        remove_one_file(mindrecord_file_name + ".db")
+
+        data = [{"file_name": "001.jpg", "label": 43, "score": 0.8, "masks": np.array([3, 6, 9], dtype=np.int64),
+                 "segments": np.array([[5.0, 1.6], [65.2, 8.3]], dtype=np.float32),
+                 "data": bytes("image bytes abc", encoding='UTF-8')},
+                {"file_name": "002.jpg", "label": 91, "score": 5.4, "masks": np.array([1, 4, 7], dtype=np.int64),
+                 "segments": np.array([[5.1, 9.1], [2.0, 65.4]], dtype=np.float32),
+                 "data": bytes("image bytes def", encoding='UTF-8')},
+                {"file_name": "003.jpg", "label": 61, "score": 6.4, "masks": np.array([7, 6, 3], dtype=np.int64),
+                 "segments": np.array([[0.0, 5.6], [3.0, 16.3]], dtype=np.float32),
+                 "data": bytes("image bytes ghi", encoding='UTF-8')},
+                {"file_name": "004.jpg", "label": 29, "score": 8.1, "masks": np.array([2, 8, 0], dtype=np.int64),
+                 "segments": np.array([[5.9, 7.2], [4.0, 89.0]], dtype=np.float32),
+                 "data": bytes("image bytes jkl", encoding='UTF-8')},
+                {"file_name": "005.jpg", "label": 78, "score": 7.7, "masks": np.array([3, 1, 2], dtype=np.int64),
+                 "segments": np.array([[0.6, 8.1], [5.3, 49.3]], dtype=np.float32),
+                 "data": bytes("image bytes mno", encoding='UTF-8')},
+                {"file_name": "006.jpg", "label": 37, "score": 9.4, "masks": np.array([7, 6, 7], dtype=np.int64),
+                 "segments": np.array([[4.2, 6.3], [8.9, 81.8]], dtype=np.float32),
+                 "data": bytes("image bytes pqr", encoding='UTF-8')}
+                ]
+        writer = FileWriter(mindrecord_file_name)
+        schema = {"file_name": {"type": "string"},
+                  "label": {"type": "int32"},
+                  "score": {"type": "float64"},
+                  "mask": {"type": "int64", "shape": [-1]},
+                  "segments": {"type": "float32", "shape": [2, 2]},
+                  "data": {"type": "bytes"}}
+        writer.add_schema(schema, "data is so cool")
+        writer.write_raw_data(data)
+        writer.commit()
+
+    # field: data  =>  image
+    with pytest.raises(Exception, match="Failed to write dataset"):
+        remove_one_file(mindrecord_file_name)
+        remove_one_file(mindrecord_file_name + ".db")
+
+        data = [{"file_name": "001.jpg", "label": 43, "score": 0.8, "mask": np.array([3, 6, 9], dtype=np.int64),
+                 "segments": np.array([[5.0, 1.6], [65.2, 8.3]], dtype=np.float32),
+                 "image": bytes("image bytes abc", encoding='UTF-8')},
+                {"file_name": "002.jpg", "label": 91, "score": 5.4, "mask": np.array([1, 4, 7], dtype=np.int64),
+                 "segments": np.array([[5.1, 9.1], [2.0, 65.4]], dtype=np.float32),
+                 "image": bytes("image bytes def", encoding='UTF-8')},
+                {"file_name": "003.jpg", "label": 61, "score": 6.4, "mask": np.array([7, 6, 3], dtype=np.int64),
+                 "segments": np.array([[0.0, 5.6], [3.0, 16.3]], dtype=np.float32),
+                 "image": bytes("image bytes ghi", encoding='UTF-8')},
+                {"file_name": "004.jpg", "label": 29, "score": 8.1, "mask": np.array([2, 8, 0], dtype=np.int64),
+                 "segments": np.array([[5.9, 7.2], [4.0, 89.0]], dtype=np.float32),
+                 "image": bytes("image bytes jkl", encoding='UTF-8')},
+                {"file_name": "005.jpg", "label": 78, "score": 7.7, "mask": np.array([3, 1, 2], dtype=np.int64),
+                 "segments": np.array([[0.6, 8.1], [5.3, 49.3]], dtype=np.float32),
+                 "image": bytes("image bytes mno", encoding='UTF-8')},
+                {"file_name": "006.jpg", "label": 37, "score": 9.4, "mask": np.array([7, 6, 7], dtype=np.int64),
+                 "segments": np.array([[4.2, 6.3], [8.9, 81.8]], dtype=np.float32),
+                 "image": bytes("image bytes pqr", encoding='UTF-8')}
+                ]
+        writer = FileWriter(mindrecord_file_name)
+        schema = {"file_name": {"type": "string"},
+                  "label": {"type": "int32"},
+                  "score": {"type": "float64"},
+                  "mask": {"type": "int64", "shape": [-1]},
+                  "segments": {"type": "float32", "shape": [2, 2]},
+                  "data": {"type": "bytes"}}
+        writer.add_schema(schema, "data is so cool")
+        writer.write_raw_data(data)
+        writer.commit()
+
+    # field: label  =>  lable
+    with pytest.raises(Exception, match="Failed to write dataset"):
+        remove_one_file(mindrecord_file_name)
+        remove_one_file(mindrecord_file_name + ".db")
+
+        data = [{"file_name": "001.jpg", "lable": 43, "score": 0.8, "mask": np.array([3, 6, 9], dtype=np.int64),
+                 "segments": np.array([[5.0, 1.6], [65.2, 8.3]], dtype=np.float32),
+                 "data": bytes("image bytes abc", encoding='UTF-8')},
+                {"file_name": "002.jpg", "lable": 91, "score": 5.4, "mask": np.array([1, 4, 7], dtype=np.int64),
+                 "segments": np.array([[5.1, 9.1], [2.0, 65.4]], dtype=np.float32),
+                 "data": bytes("image bytes def", encoding='UTF-8')},
+                {"file_name": "003.jpg", "lable": 61, "score": 6.4, "mask": np.array([7, 6, 3], dtype=np.int64),
+                 "segments": np.array([[0.0, 5.6], [3.0, 16.3]], dtype=np.float32),
+                 "data": bytes("image bytes ghi", encoding='UTF-8')},
+                {"file_name": "004.jpg", "lable": 29, "score": 8.1, "mask": np.array([2, 8, 0], dtype=np.int64),
+                 "segments": np.array([[5.9, 7.2], [4.0, 89.0]], dtype=np.float32),
+                 "data": bytes("image bytes jkl", encoding='UTF-8')},
+                {"file_name": "005.jpg", "lable": 78, "score": 7.7, "mask": np.array([3, 1, 2], dtype=np.int64),
+                 "segments": np.array([[0.6, 8.1], [5.3, 49.3]], dtype=np.float32),
+                 "data": bytes("image bytes mno", encoding='UTF-8')},
+                {"file_name": "006.jpg", "lable": 37, "score": 9.4, "mask": np.array([7, 6, 7], dtype=np.int64),
+                 "segments": np.array([[4.2, 6.3], [8.9, 81.8]], dtype=np.float32),
+                 "data": bytes("image bytes pqr", encoding='UTF-8')}
+                ]
+        writer = FileWriter(mindrecord_file_name)
+        schema = {"file_name": {"type": "string"},
+                  "label": {"type": "int32"},
+                  "score": {"type": "float64"},
+                  "mask": {"type": "int64", "shape": [-1]},
+                  "segments": {"type": "float32", "shape": [2, 2]},
+                  "data": {"type": "bytes"}}
+        writer.add_schema(schema, "data is so cool")
+        writer.write_raw_data(data)
+        writer.commit()
+
+    # field: score  =>  scores
+    with pytest.raises(Exception, match="Failed to write dataset"):
+        remove_one_file(mindrecord_file_name)
+        remove_one_file(mindrecord_file_name + ".db")
+
+        data = [{"file_name": "001.jpg", "label": 43, "scores": 0.8, "mask": np.array([3, 6, 9], dtype=np.int64),
+                 "segments": np.array([[5.0, 1.6], [65.2, 8.3]], dtype=np.float32),
+                 "data": bytes("image bytes abc", encoding='UTF-8')},
+                {"file_name": "002.jpg", "label": 91, "scores": 5.4, "mask": np.array([1, 4, 7], dtype=np.int64),
+                 "segments": np.array([[5.1, 9.1], [2.0, 65.4]], dtype=np.float32),
+                 "data": bytes("image bytes def", encoding='UTF-8')},
+                {"file_name": "003.jpg", "label": 61, "scores": 6.4, "mask": np.array([7, 6, 3], dtype=np.int64),
+                 "segments": np.array([[0.0, 5.6], [3.0, 16.3]], dtype=np.float32),
+                 "data": bytes("image bytes ghi", encoding='UTF-8')},
+                {"file_name": "004.jpg", "label": 29, "scores": 8.1, "mask": np.array([2, 8, 0], dtype=np.int64),
+                 "segments": np.array([[5.9, 7.2], [4.0, 89.0]], dtype=np.float32),
+                 "data": bytes("image bytes jkl", encoding='UTF-8')},
+                {"file_name": "005.jpg", "label": 78, "scores": 7.7, "mask": np.array([3, 1, 2], dtype=np.int64),
+                 "segments": np.array([[0.6, 8.1], [5.3, 49.3]], dtype=np.float32),
+                 "data": bytes("image bytes mno", encoding='UTF-8')},
+                {"file_name": "006.jpg", "label": 37, "scores": 9.4, "mask": np.array([7, 6, 7], dtype=np.int64),
+                 "segments": np.array([[4.2, 6.3], [8.9, 81.8]], dtype=np.float32),
+                 "data": bytes("image bytes pqr", encoding='UTF-8')}
+                ]
+        writer = FileWriter(mindrecord_file_name)
+        schema = {"file_name": {"type": "string"},
+                  "label": {"type": "int32"},
+                  "score": {"type": "float64"},
+                  "mask": {"type": "int64", "shape": [-1]},
+                  "segments": {"type": "float32", "shape": [2, 2]},
+                  "data": {"type": "bytes"}}
+        writer.add_schema(schema, "data is so cool")
+        writer.write_raw_data(data)
+        writer.commit()
+
+    # string type with int value
+    with pytest.raises(Exception, match="Failed to write dataset"):
+        remove_one_file(mindrecord_file_name)
+        remove_one_file(mindrecord_file_name + ".db")
+
+        data = [{"file_name": 1, "label": 43, "score": 0.8, "mask": np.array([3, 6, 9], dtype=np.int64),
+                 "segments": np.array([[5.0, 1.6], [65.2, 8.3]], dtype=np.float32),
+                 "data": bytes("image bytes abc", encoding='UTF-8')},
+                {"file_name": 2, "label": 91, "score": 5.4, "mask": np.array([1, 4, 7], dtype=np.int64),
+                 "segments": np.array([[5.1, 9.1], [2.0, 65.4]], dtype=np.float32),
+                 "data": bytes("image bytes def", encoding='UTF-8')},
+                {"file_name": 3, "label": 61, "score": 6.4, "mask": np.array([7, 6, 3], dtype=np.int64),
+                 "segments": np.array([[0.0, 5.6], [3.0, 16.3]], dtype=np.float32),
+                 "data": bytes("image bytes ghi", encoding='UTF-8')},
+                {"file_name": 4, "label": 29, "score": 8.1, "mask": np.array([2, 8, 0], dtype=np.int64),
+                 "segments": np.array([[5.9, 7.2], [4.0, 89.0]], dtype=np.float32),
+                 "data": bytes("image bytes jkl", encoding='UTF-8')},
+                {"file_name": 5, "label": 78, "score": 7.7, "mask": np.array([3, 1, 2], dtype=np.int64),
+                 "segments": np.array([[0.6, 8.1], [5.3, 49.3]], dtype=np.float32),
+                 "data": bytes("image bytes mno", encoding='UTF-8')},
+                {"file_name": 6, "label": 37, "score": 9.4, "mask": np.array([7, 6, 7], dtype=np.int64),
+                 "segments": np.array([[4.2, 6.3], [8.9, 81.8]], dtype=np.float32),
+                 "data": bytes("image bytes pqr", encoding='UTF-8')}
+                ]
+        writer = FileWriter(mindrecord_file_name)
+        schema = {"file_name": {"type": "string"},
+                  "label": {"type": "int32"},
+                  "score": {"type": "float64"},
+                  "mask": {"type": "int64", "shape": [-1]},
+                  "segments": {"type": "float32", "shape": [2, 2]},
+                  "data": {"type": "bytes"}}
+        writer.add_schema(schema, "data is so cool")
+        writer.write_raw_data(data)
+        writer.commit()
+
+    # field with int64 type, but the real data is string
+    with pytest.raises(Exception, match="Failed to write dataset"):
+        remove_one_file(mindrecord_file_name)
+        remove_one_file(mindrecord_file_name + ".db")
+
+        data = [{"file_name": "001.jpg", "label": "cat", "score": 0.8, "mask": np.array([3, 6, 9], dtype=np.int64),
+                 "segments": np.array([[5.0, 1.6], [65.2, 8.3]], dtype=np.float32),
+                 "data": bytes("image bytes abc", encoding='UTF-8')},
+                {"file_name": "002.jpg", "label": "dog", "score": 5.4, "mask": np.array([1, 4, 7], dtype=np.int64),
+                 "segments": np.array([[5.1, 9.6], [2.0, 65.4]], dtype=np.float32),
+                 "data": bytes("image bytes def", encoding='UTF-8')},
+                {"file_name": "003.jpg", "label": "bird", "score": 6.4, "mask": np.array([7, 6, 3], dtype=np.int64),
+                 "segments": np.array([[0.0, 5.6], [3.0, 16.3]], dtype=np.float32),
+                 "data": bytes("image bytes ghi", encoding='UTF-8')},
+                {"file_name": "004.jpg", "label": "mouse", "score": 8.1, "mask": np.array([2, 8, 0], dtype=np.int64),
+                 "segments": np.array([[5.9, 7.2], [4.0, 89.0]], dtype=np.float32),
+                 "data": bytes("image bytes jkl", encoding='UTF-8')},
+                {"file_name": "005.jpg", "label": "tiger", "score": 7.7, "mask": np.array([3, 1, 2], dtype=np.int64),
+                 "segments": np.array([[0.6, 8.1], [5.3, 49.3]], dtype=np.float32),
+                 "data": bytes("image bytes mno", encoding='UTF-8')},
+                {"file_name": "006.jpg", "label": "lion", "score": 9.4, "mask": np.array([7, 6, 7], dtype=np.int64),
+                 "segments": np.array([[4.2, 6.3], [8.9, 81.8]], dtype=np.float32),
+                 "data": bytes("image bytes pqr", encoding='UTF-8')}
+                ]
+        writer = FileWriter(mindrecord_file_name)
+        schema = {"file_name": {"type": "string"},
+                  "label": {"type": "int32"},
+                  "score": {"type": "float64"},
+                  "mask": {"type": "int64", "shape": [-1]},
+                  "segments": {"type": "float32", "shape": [2, 2]},
+                  "data": {"type": "bytes"}}
+        writer.add_schema(schema, "data is so cool")
+        writer.write_raw_data(data)
+        writer.commit()
+
+    # bytes field is string
+    with pytest.raises(Exception, match="Failed to write dataset"):
+        remove_one_file(mindrecord_file_name)
+        remove_one_file(mindrecord_file_name + ".db")
+
+        data = [{"file_name": "001.jpg", "label": 43, "score": 0.8, "mask": np.array([3, 6, 9], dtype=np.int64),
+                 "segments": np.array([[5.0, 1.6], [65.2, 8.3]], dtype=np.float32),
+                 "data": "image bytes abc"},
+                {"file_name": "002.jpg", "label": 91, "score": 5.4, "mask": np.array([1, 4, 7], dtype=np.int64),
+                 "segments": np.array([[5.1, 9.1], [2.0, 65.4]], dtype=np.float32),
+                 "data": "image bytes def"},
+                {"file_name": "003.jpg", "label": 61, "score": 6.4, "mask": np.array([7, 6, 3], dtype=np.int64),
+                 "segments": np.array([[0.0, 5.6], [3.0, 16.3]], dtype=np.float32),
+                 "data": "image bytes ghi"},
+                {"file_name": "004.jpg", "label": 29, "score": 8.1, "mask": np.array([2, 8, 0], dtype=np.int64),
+                 "segments": np.array([[5.9, 7.2], [4.0, 89.0]], dtype=np.float32),
+                 "data": "image bytes jkl"},
+                {"file_name": "005.jpg", "label": 78, "score": 7.7, "mask": np.array([3, 1, 2], dtype=np.int64),
+                 "segments": np.array([[0.6, 8.1], [5.3, 49.3]], dtype=np.float32),
+                 "data": "image bytes mno"},
+                {"file_name": "006.jpg", "label": 37, "score": 9.4, "mask": np.array([7, 6, 7], dtype=np.int64),
+                 "segments": np.array([[4.2, 6.3], [8.9, 81.8]], dtype=np.float32),
+                 "data": "image bytes pqr"}
+                ]
+        writer = FileWriter(mindrecord_file_name)
+        schema = {"file_name": {"type": "string"},
+                  "label": {"type": "int32"},
+                  "score": {"type": "float64"},
+                  "mask": {"type": "int64", "shape": [-1]},
+                  "segments": {"type": "float32", "shape": [2, 2]},
+                  "data": {"type": "bytes"}}
+        writer.add_schema(schema, "data is so cool")
+        writer.write_raw_data(data)
+        writer.commit()
+
+    # field is not numpy type
+    with pytest.raises(Exception, match="Failed to write dataset"):
+        remove_one_file(mindrecord_file_name)
+        remove_one_file(mindrecord_file_name + ".db")
+
+        data = [{"file_name": "001.jpg", "label": 43, "score": 0.8, "mask": [3, 6, 9],
+                 "segments": np.array([[5.0, 1.6], [65.2, 8.3]], dtype=np.float32),
+                 "data": bytes("image bytes abc", encoding='UTF-8')},
+                {"file_name": "002.jpg", "label": 91, "score": 5.4, "mask": [1, 4, 7],
+                 "segments": np.array([[5.1, 9.1], [2.0, 65.4]], dtype=np.float32),
+                 "data": bytes("image bytes def", encoding='UTF-8')},
+                {"file_name": "003.jpg", "label": 61, "score": 6.4, "mask": [7, 6, 3],
+                 "segments": np.array([[0.0, 5.6], [3.0, 16.3]], dtype=np.float32),
+                 "data": bytes("image bytes ghi", encoding='UTF-8')},
+                {"file_name": "004.jpg", "label": 29, "score": 8.1, "mask": [2, 8, 0],
+                 "segments": np.array([[5.9, 7.2], [4.0, 89.0]], dtype=np.float32),
+                 "data": bytes("image bytes jkl", encoding='UTF-8')},
+                {"file_name": "005.jpg", "label": 78, "score": 7.7, "mask": [3, 1, 2],
+                 "segments": np.array([[0.6, 8.1], [5.3, 49.3]], dtype=np.float32),
+                 "data": bytes("image bytes mno", encoding='UTF-8')},
+                {"file_name": "006.jpg", "label": 37, "score": 9.4, "mask": [7, 6, 7],
+                 "segments": np.array([[4.2, 6.3], [8.9, 81.8]], dtype=np.float32),
+                 "data": bytes("image bytes pqr", encoding='UTF-8')}
+                ]
+        writer = FileWriter(mindrecord_file_name)
+        schema = {"file_name": {"type": "string"},
+                  "label": {"type": "int32"},
+                  "score": {"type": "float64"},
+                  "mask": {"type": "int64", "shape": [-1]},
+                  "segments": {"type": "float32", "shape": [2, 2]},
+                  "data": {"type": "bytes"}}
+        writer.add_schema(schema, "data is so cool")
+        writer.write_raw_data(data)
+        writer.commit()
+
+    # not enough field
+    with pytest.raises(Exception, match="Failed to write dataset"):
+        remove_one_file(mindrecord_file_name)
+        remove_one_file(mindrecord_file_name + ".db")
+
+        data = [{"file_name": "001.jpg", "score": 0.8, "mask": np.array([3, 6, 9], dtype=np.int64),
+                 "segments": np.array([[5.0, 1.6], [65.2, 8.3]], dtype=np.float32),
+                 "data": bytes("image bytes abc", encoding='UTF-8')},
+                {"file_name": "002.jpg", "score": 5.4, "mask": np.array([1, 4, 7], dtype=np.int64),
+                 "segments": np.array([[5.1, 9.1], [2.0, 65.4]], dtype=np.float32),
+                 "data": bytes("image bytes def", encoding='UTF-8')},
+                {"file_name": "003.jpg", "score": 6.4, "mask": np.array([7, 6, 3], dtype=np.int64),
+                 "segments": np.array([[0.0, 5.6], [3.0, 16.3]], dtype=np.float32),
+                 "data": bytes("image bytes ghi", encoding='UTF-8')},
+                {"file_name": "004.jpg", "score": 8.1, "mask": np.array([2, 8, 0], dtype=np.int64),
+                 "segments": np.array([[5.9, 7.2], [4.0, 89.0]], dtype=np.float32),
+                 "data": bytes("image bytes jkl", encoding='UTF-8')},
+                {"file_name": "005.jpg", "score": 7.7, "mask": np.array([3, 1, 2], dtype=np.int64),
+                 "segments": np.array([[0.6, 8.1], [5.3, 49.3]], dtype=np.float32),
+                 "data": bytes("image bytes mno", encoding='UTF-8')},
+                {"file_name": "006.jpg", "score": 9.4, "mask": np.array([7, 6, 7], dtype=np.int64),
+                 "segments": np.array([[4.2, 6.3], [8.9, 81.8]], dtype=np.float32),
+                 "data": bytes("image bytes pqr", encoding='UTF-8')}
+                ]
+        writer = FileWriter(mindrecord_file_name)
+        schema = {"file_name": {"type": "string"},
+                  "label": {"type": "int32"},
+                  "score": {"type": "float64"},
+                  "mask": {"type": "int64", "shape": [-1]},
+                  "segments": {"type": "float32", "shape": [2, 2]},
+                  "data": {"type": "bytes"}}
+        writer.add_schema(schema, "data is so cool")
+        writer.write_raw_data(data)
+        writer.commit()
+
+    # more field is ok
+    remove_one_file(mindrecord_file_name)
+    remove_one_file(mindrecord_file_name + ".db")
+
+    data = [{"file_name": "001.jpg", "label": 43, "score": 0.8, "mask": np.array([3, 6, 9], dtype=np.int64),
+             "segments": np.array([[5.0, 1.6], [65.2, 8.3]], dtype=np.float32),
+             "data": bytes("image bytes abc", encoding='UTF-8'), "test": 0},
+            {"file_name": "002.jpg", "label": 91, "score": 5.4, "mask": np.array([1, 4, 7], dtype=np.int64),
+             "segments": np.array([[5.1, 9.1], [2.0, 65.4]], dtype=np.float32),
+             "data": bytes("image bytes def", encoding='UTF-8'), "test": 1},
+            {"file_name": "003.jpg", "label": 61, "score": 6.4, "mask": np.array([7, 6, 3], dtype=np.int64),
+             "segments": np.array([[0.0, 5.6], [3.0, 16.3]], dtype=np.float32),
+             "data": bytes("image bytes ghi", encoding='UTF-8'), "test": 2},
+            {"file_name": "004.jpg", "label": 29, "score": 8.1, "mask": np.array([2, 8, 0], dtype=np.int64),
+             "segments": np.array([[5.9, 7.2], [4.0, 89.0]], dtype=np.float32),
+             "data": bytes("image bytes jkl", encoding='UTF-8'), "test": 3},
+            {"file_name": "005.jpg", "label": 78, "score": 7.7, "mask": np.array([3, 1, 2], dtype=np.int64),
+             "segments": np.array([[0.6, 8.1], [5.3, 49.3]], dtype=np.float32),
+             "data": bytes("image bytes mno", encoding='UTF-8'), "test": 4},
+            {"file_name": "006.jpg", "label": 37, "score": 9.4, "mask": np.array([7, 6, 7], dtype=np.int64),
+             "segments": np.array([[4.2, 6.3], [8.9, 81.8]], dtype=np.float32),
+             "data": bytes("image bytes pqr", encoding='UTF-8'), "test": 5}
+            ]
+    writer = FileWriter(mindrecord_file_name)
+    schema = {"file_name": {"type": "string"},
+              "label": {"type": "int32"},
+              "score": {"type": "float64"},
+              "mask": {"type": "int64", "shape": [-1]},
+              "segments": {"type": "float32", "shape": [2, 2]},
+              "data": {"type": "bytes"}}
+    writer.add_schema(schema, "data is so cool")
+    writer.write_raw_data(data)
+    writer.commit()
+
+    remove_one_file(mindrecord_file_name)
+    remove_one_file(mindrecord_file_name + ".db")