[Bug]: [null & default] Insert rows report error "undefined data type:Int64: invalid parameter" when insert without the default value field

[binbinlv]

Is there an existing issue for this?

• I have searched the existing issues

Environment

- Milvus version: master-20240920-6e430bd4
- Deployment mode(standalone or cluster):both
- MQ type(rocksmq, pulsar or kafka):    all
- SDK version(e.g. pymilvus v2.0.0rc2): 2.5.0rc80
- OS(Ubuntu or CentOS): 
- CPU/Memory: 
- GPU: 
- Others:

Current Behavior

Insert rows report error "undefined data type:Int64: invalid parameter" when insert without the default value field

RPC error: [insert_rows], <MilvusException: (code=1100, message=undefined data type:Int64: invalid parameter)>, <Time:{'RPC start': '2024-09-25 11:12:19.687618', 'RPC error': '2024-09-25 11:12:20.037542'}>
Traceback (most recent call last):
  File "./default_rows.py", line 24, in <module>
    collection.insert(data={"id": 4, "vector": [7,8,9]})
  File "/Users/binbin/milvus_latest/lib/python3.8/site-packages/pymilvus/orm/collection.py", line 507, in insert
    return conn.insert_rows(
  File "/Users/binbin/milvus_latest/lib/python3.8/site-packages/pymilvus/decorators.py", line 141, in handler
    raise e from e
  File "/Users/binbin/milvus_latest/lib/python3.8/site-packages/pymilvus/decorators.py", line 137, in handler
    return func(*args, **kwargs)
  File "/Users/binbin/milvus_latest/lib/python3.8/site-packages/pymilvus/decorators.py", line 176, in handler
    return func(self, *args, **kwargs)
  File "/Users/binbin/milvus_latest/lib/python3.8/site-packages/pymilvus/decorators.py", line 116, in handler
    raise e from e
  File "/Users/binbin/milvus_latest/lib/python3.8/site-packages/pymilvus/decorators.py", line 86, in handler
    return func(*args, **kwargs)
  File "/Users/binbin/milvus_latest/lib/python3.8/site-packages/pymilvus/client/grpc_handler.py", line 496, in insert_rows
    check_status(resp.status)
  File "/Users/binbin/milvus_latest/lib/python3.8/site-packages/pymilvus/client/utils.py", line 63, in check_status
    raise MilvusException(status.code, status.reason, status.error_code)
pymilvus.exceptions.MilvusException: <MilvusException: (code=1100, message=undefined data type:Int64: invalid parameter)>

Expected Behavior

Insert rows successfully when insert without the default value field

Steps To Reproduce

from pymilvus import CollectionSchema, FieldSchema
from pymilvus import Collection
from pymilvus import connections
from pymilvus import DataType
from pymilvus import Partition
from pymilvus import utility
import json
import random


connections.connect()

dim = 3
schema = CollectionSchema(fields=[
    FieldSchema(name="id", dtype=DataType.INT64, is_primary=True, auto_id=False),
    FieldSchema(name="vector", dtype=DataType.FLOAT_VECTOR, dim=3),
    FieldSchema(name="flat", dtype=DataType.INT64, default_value=999),
])

collection = Collection("test_binbin_123", schema=schema)

collection.insert(data={"id": 4, "vector": [7,8,9]})

Milvus Log

No response

Anything else?

No response

[smellthemoon]

related with milvus-io/pymilvus#2275. pr merged, could you please check it? @binbinlv

[smellthemoon]

/assign @binbinlv

[binbinlv]

Verified and fixed:

pymilvus:2.5.0rc88
milvus: master-20241011-3fe0f829-amd64

results:

>>> dim = 3
>>> schema = CollectionSchema(fields=[
...     FieldSchema(name="id", dtype=DataType.INT64, is_primary=True, auto_id=False),
...     FieldSchema(name="vector", dtype=DataType.FLOAT_VECTOR, dim=3),
...     FieldSchema(name="flat", dtype=DataType.INT64, default_value=999),
... ])
>>>
>>>
>>> collection = Collection("test_binbin_12", schema=schema)
>>> collection.insert(data={"id": 4, "vector": [7,8,9]})
(insert count: 1, delete count: 0, upsert count: 0, timestamp: 453149575917862918, success count: 1, err count: 0
>>>
>>>
>>> index_param = {"index_type": "IVF_FLAT", "metric_type": "L2", "params": {"nlist": 100}}
>>> collection.create_index("vector", index_param, index_name="index_name_1")
Status(code=0, message=)
>>>
>>> collection.load()
>>> collection.query(expr="id>=0", output_fields=["flat", "vector"])
data: ["{'flat': 999, 'vector': [7.0, 8.0, 9.0], 'id': 4}"]