[Bug]: not supported to do arithmetic operations between multiple fields

Is there an existing issue for this?

• I have searched the existing issues

Environment

- Milvus version: 2.5.4
- Deployment mode(standalone or cluster): standalone  
- SDK version(e.g. pymilvus v2.0.0rc2): pymilvus 2.5.4
- OS(Ubuntu or CentOS): Ubuntu

Current Behavior

The basic operators docs contain examples of multi field arithmetic operations but it fails with the following error while testing on my local machine running milvus on docker:

pymilvus.exceptions.MilvusException: <MilvusException: (code=1100, message=failed to create query plan: cannot parse expression: price * quantity > 100, error: not supported to do arithmetic operations between multiple fields: invalid parameter)>

Multi field arithmetic operations are something I wish to use so would appreciate some help here. Is this a bug or something I've misconfigured?

Expected Behavior

Should parse the filter and execute the query as suggested in the linked docs

Steps To Reproduce

Run milvus on docker

curl -sfL https://raw.githubusercontent.com/milvus-io/milvus/master/scripts/standalone_embed.sh -o standalone_embed.sh

bash standalone_embed.sh start

Python script to reproduce

from pymilvus import MilvusClient, DataType
import random
import numpy as np

client = MilvusClient(uri="http://localhost:19530")

# Create schema
schema = MilvusClient.create_schema(
    auto_id=True,
    enable_dynamic_field=True,
)

schema.add_field(field_name="id", datatype=DataType.INT64, is_primary=True)
schema.add_field(field_name="price", datatype=DataType.INT64)
schema.add_field(field_name="quantity", datatype=DataType.INT64)
schema.add_field(field_name="embedding", datatype=DataType.FLOAT_VECTOR, dim=5)

# Create index
index_params = client.prepare_index_params()

index_params.add_index(field_name="embedding",
                       index_type="AUTOINDEX",
                       metric_type="COSINE")

# Create collection
collection_name = "product"
client.create_collection(collection_name=collection_name,
                         schema=schema,
                         index_params=index_params)

# Insert sample data
num_samples = 10
data = [{
    "price": random.randint(1, 1000),
    "quantity": random.randint(1, 50),
    "embedding": np.random.rand(5).tolist()
} for _ in range(num_samples)]
client.insert(collection_name, data)

# Load collection
client.load_collection(collection_name)

# Query
expr = "price * quantity > 100"
results = client.query(collection_name,
                       expr,
                       output_fields=["price", "quantity"])

for result in results:
    print(result)

Milvus Log

No response

Anything else?

No response