shiyu22

Hi @huan415, can you try with the latest code?

What version of Milvus? Is there incremental data? If you do not have incremental data, you can use the `M2H` function to save the original vector data, but there is...

In Milvus 2.0 cluster, MinIO is used for data persistence of large files such as index and binary log files. And [MinIO](https://min.io/) offers high-performance object storage. If you deploy Minio's...

Of course, you can use your own minio with the settings.

I think this issue is fixed in the main branch but it hasn't published, so you can follow it to reinstall pymilvusdm: ``` $ git clone https://github.com/milvus-io/milvus-tools.git $ cd milvus-tools...

You can refer to #32.

Hi, Thanks for your issue, there are solutions for them. 1. Error with: cannot reshape array of size 357564416 into shape (43648,256) I think this issue is fixed in 1.0...

What is your M2M.yaml?

There is a bug in `read_milvus_data.py`, and I have updated it in 1.0&master, you can update your repo and reinstall.

I think it's an issue out of memory, you can follow [this question](https://stackoverflow.com/questions/57507832/unable-to-allocate-array-with-shape-and-data-type) on StackOverflow.