[Feature]: More informative error messages on inserting to collection

[jmugan]

Is there an existing issue for this?

• I have searched the existing issues

Is your feature request related to a problem? Please describe.

Inserting vectors into a collection requires a lot of fumbling in the dark.

Describe the solution you'd like.

My vectors are in numpy and I have to convert them to a list, but I keep getting errors like pymilvus.orm.exceptions.DataTypeNotSupportException: <DataTypeNotSupportException: (code=0, message=Data type is not support.)> or pymilvus.orm.exceptions.SchemaNotReadyException: <SchemaNotReadyException: (code=0, message=The types of schema and data do not match.)>.

It reminds me of the matrix size mismatch problem in deep learning, but PyTorch and TensorFlow will say something like "expected xyz" and got "xyk" to help clue you in on what is going on.

Describe an alternate solution.

No response

Anything else? (Additional Context)

No response

[XuanYang-cn]

@jmugan Good advice!
/assign
/unassign @xiaofan-luan

[xiaofan-luan]

but PyTorch and TensorFlow will say something like "expected xyz" and got "xyk" to help clue you in on what is going on.

Emmm, feel free to send pull request, the current error message is confusing~

[stale]

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[xiaofan-luan]

keep it open

[XuanYang-cn]

fixed at pymilvus==2.2.0, Feel free to reopen this if anything similar occurs again