[Bug]: v2.5.0 run text_embedding.py example tip error：pymilvus.exceptions.DataNotMatchException

[danerlt]

Is there an existing issue for this?

• I have searched the existing issues

Describe the bug

当我运行example目录下的text_embedding.py,报错：

pymilvus.exceptions.DataNotMatchException: <DataNotMatchException: (code=1, message=Insert missed an field `dense` to collection without set nullable==true or set default_value)>

下面是我调整之后的代码，加入了创建数据库的逻辑：

# hello_text_embedding.py demonstrates how to insert raw data only into Milvus and perform
# dense vector based ANN search using TextEmbedding.
# 1. connect to Milvus
# 2. create collection
# 3. insert data
# 4. create index
# 5. search
# 6. drop collection
import time

from pymilvus import (
    MilvusClient,
    utility,
    FieldSchema, CollectionSchema, Function, DataType, FunctionType,
    Collection,
)

from pymilvus import connections, db

conn = connections.connect(host="127.0.0.1", port=19530)

databases = db.list_database()
print(databases)
db_name = "my_db"
if db_name not in databases:
    print("需要创建数据库")
    database = db.create_database(db_name)
    print("创建数据库成功")

collection_name = "text_embedding"

milvus_client = MilvusClient("http://127.0.0.1:19530", db_name=db_name)

has_collection = milvus_client.has_collection(collection_name, timeout=5)
schema = milvus_client.create_schema()
schema.add_field("id", DataType.INT64, is_primary=True, auto_id=False)
schema.add_field("document", DataType.VARCHAR, max_length=9000)
schema.add_field("dense", DataType.FLOAT_VECTOR, dim=1536)

text_embedding_function = Function(
    name="openai",
    function_type=FunctionType.TEXTEMBEDDING,
    input_field_names=["document"],
    output_field_names="dense",
    params={
        "provider": "openai",
        "model_name": "text-embedding-3-small",
    }
)

schema.add_function(text_embedding_function)

index_params = milvus_client.prepare_index_params()
index_params.add_index(
    field_name="dense",
    index_name="dense_index",
    index_type="AUTOINDEX",
    metric_type="IP",
)

ret = milvus_client.create_collection(collection_name, schema=schema, index_params=index_params, consistency_level="Strong")

rows = [
        {"id": 1, "document": "Artificial intelligence was founded as an academic discipline in 1956."},
        {"id": 2, "document": "Alan Turing was the first person to conduct substantial research in AI."},
        {"id": 3, "document": "Born in Maida Vale, London, Turing was raised in southern England."},
]

insert_result = milvus_client.insert(collection_name, rows, progress_bar=True)


# -----------------------------------------------------------------------------
search_params = {
    "params": {"nprobe": 10},
}
queries = ["When was artificial intelligence founded",
           "Where was Alan Turing born?"]

start_time = time.time()
result = milvus_client.search(collection_name, data=queries, anns_field="dense", search_params=search_params, limit=3, output_fields=["document"], consistency_level="Strong")
end_time = time.time()

for hits, text in zip(result, queries):
    print(f"result of text: {text}")
    for hit in hits:
        print(f"\thit: {hit}, document field: {hit.get('document')}")

错误详细信息：

RPC error: [insert_rows], <DataNotMatchException: (code=1, message=Insert missed an field `dense` to collection without set nullable==true or set default_value)>, <Time:{'RPC start': '2024-12-19 17:54:08.846455', 'RPC error': '2024-12-19 17:54:08.895140'}>
Traceback (most recent call last):
  File "E:\work\incremental-learning\api\tests\t_milvus.py", line 69, in <module>
    insert_result = milvus_client.insert(collection_name, rows, progress_bar=True)
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "E:\work\incremental-learning\api\.venv\Lib\site-packages\pymilvus\milvus_client\milvus_client.py", line 225, in insert
    raise ex from ex
  File "E:\work\incremental-learning\api\.venv\Lib\site-packages\pymilvus\milvus_client\milvus_client.py", line 221, in insert
    res = conn.insert_rows(
          ^^^^^^^^^^^^^^^^^
  File "E:\work\incremental-learning\api\.venv\Lib\site-packages\pymilvus\decorators.py", line 141, in handler
    raise e from e
  File "E:\work\incremental-learning\api\.venv\Lib\site-packages\pymilvus\decorators.py", line 137, in handler
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "E:\work\incremental-learning\api\.venv\Lib\site-packages\pymilvus\decorators.py", line 176, in handler
    return func(self, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "E:\work\incremental-learning\api\.venv\Lib\site-packages\pymilvus\decorators.py", line 116, in handler
    raise e from e
  File "E:\work\incremental-learning\api\.venv\Lib\site-packages\pymilvus\decorators.py", line 86, in handler
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "E:\work\incremental-learning\api\.venv\Lib\site-packages\pymilvus\client\grpc_handler.py", line 494, in insert_rows
    request = self._prepare_row_insert_request(
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "E:\work\incremental-learning\api\.venv\Lib\site-packages\pymilvus\client\grpc_handler.py", line 520, in _prepare_row_insert_request
    return Prepare.row_insert_param(
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "E:\work\incremental-learning\api\.venv\Lib\site-packages\pymilvus\client\prepare.py", line 601, in row_insert_param
    return cls._parse_row_request(request, fields_info, enable_dynamic, entities)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "E:\work\incremental-learning\api\.venv\Lib\site-packages\pymilvus\client\prepare.py", line 462, in _parse_row_request
    raise DataNotMatchException(
pymilvus.exceptions.DataNotMatchException: <DataNotMatchException: (code=1, message=Insert missed an field `dense` to collection without set nullable==true or set default_value)>

Expected Behavior

运行结果不报错

Steps/Code To Reproduce behavior

如上

Environment details

- Hardware/Softward conditions (OS, CPU, GPU, Memory): 
- Method of installation (Docker, or from source): Docker
- Milvus version (v0.3.1, or v0.4.0): v2.4.1 
- PyMilvus Version: v2.5.0
- Milvus configuration (Settings you made in `server_config.yaml`):

Anything else?

No response