Migrate Data from Milvus to HDF5

You can save data in Milvus as HDF5 files using MilvusDM.

  1. Download M2H.yaml:
$ wget https://raw.githubusercontent.com/milvus-io/milvus-tools/main/yamls/M2H.yaml
  1. Set the following parameters:
  • source_milvus_path: Working directory of Milvus.
  • mysql_parameter: MySQL settings for Milvus. If MySQL is not used, set this parameter as ''.
  • source_collection: Names of the collection and its partitions in Milvus.
  • data_dir: Directory to save HDF5 files.

Example:

M2H:
  milvus_version: 2.x
  source_milvus_path: '/home/user/milvus'
  mysql_parameter:
    host: '127.0.0.1'
    user: 'root'
    port: 3306
    password: '123456'
    database: 'milvus'
  source_collection: # specify the 'partition_1' and 'partition_2' partitions of the 'test' collection.
    test:
      - 'partition_1'
      - 'partition_2'
  data_dir: '/home/user/data'
  1. Run MilvusDM:
$ milvusdm --yaml M2H.yaml

Sample Code

  1. Read the data under milvus/db on your local drive, and retrieve vectors and their corresponding IDs from Milvus according to the metadata of the specified collection or partitions:
collection_parameter, version = milvus_meta.get_collection_info(collection_name)
r_vectors, r_ids, r_rows = milvusdb.read_milvus_file(self.milvus_meta, collection_name, partition_tag)
  1. Save the retrieved data as HDF5 files:
data_save.save_yaml(collection_name, partition_tag, collection_parameter, version, save_hdf5_name)
Is this page helpful?
Scored Successfully!