Milvus Data Migration Tool

Overview

MilvusDM (Milvus Data Migration) is a data migration tool for Milvus that supports importing Faiss and HDF5 data files into Milvus, migrating data between Milvus, and it also supports batch backup of Milvus data to local files. Using milvusdm can help developers improve usage efficiency, reduce operation and maintenance costs.

Getting started

Prerequisites

• Operating system requirements

Operating system	Supported versions
CentOS	7.5 or higher
Ubuntu LTS	18.04 or higher

• Software requirements

Software	Version
Milvus	0.10.x or 1.x or 2.x
Python3	3.7 or higher
pip3	Corresponds to python version.

Install

• Configure environment variables

Add the following two lines to ~/.bashrc file:

export MILVUSDM_PATH='/home/$user/milvusdm'
export LOGS_NUM=0

MILVUSDM_PATH: This parameter defines the working path of milvusdm. Logs and data generated by Milvusdm will be stored in this path. The default value is /home/$user/milvusdm.

LOGS_NUM： Milvusdm log file generates one per day. This parameter defines the number of log files to be saved. The default value is 0, which means all log files are saved.

Make the configured environment variables：

$ source ~/.bashrc

• Install milvusdm by pip

$ pip3 install pymilvusdm==2.0

The pymilvusdm2.0 is used to migrate data from Milvus(0.10.x or 1.x) to Milvus2.x.

How to use

Faiss to Milvus

Export one Faiss index file to Milvus in a specified collection or partition.

In the current version, only flat and ivf_flat indexes for floating data are supported.

• Download the example yaml

$ wget https://raw.githubusercontent.com/milvus-io/milvus-tools/main/yamls/F2M.yaml

• Config the yaml

F2M:
  milvus_version: 1.x
  data_path: '/home/data/faiss1.index'
  dest_host: '127.0.0.1'
  dest_port: 19530
  mode: 'append'
  dest_collection_name: 'test'
  dest_partition_name: ''
  collection_parameter:
    dimension: 256
    index_file_size: 1024
    metric_type: 'L2'

1. Optional parameters: dest_partition_name
2. The Parameter mode can be selected from append, skip, overwrite. This parameter takes effect only when the specified collection name exists in Milvus library.

​ append: Append data to the existing collection

​ skip: Skip the existing collection and do not perform any operations

​ overwrite: Delete the old collection, create a new collection with the same name and then import the data.

• Parameter description

parameter	description	example
F2M	Task: Export data in HDF5 to Milvus.
milvus_version	Version of Milvus.	0.10.5
data_path	Path to the data in Faiss.	'/home/user/data/faiss.index'
dest_host	Milvus server address	'127.0.0.1'
dest_port	Milvus server port.	19530
mode	Mode of migration.	'append'
dest_collection_name	Name of the collection to import data to.	'test'
dest_partition_name	Name of the partition to import data to. (Optional)	'partition'
collection_parameter	Collection-specific information such as vector dimension, index file size, and similarity metric.	dimension: 512 index_file_size: 1024 metric_type: 'HAMMING'

• Usage

$ milvusdm --yaml F2M.yaml

HDF5 to Milvus

Export one or more HDF5 files to Milvus in a specified collection or partition.

We provide the HDF5 examples of float vectors(dim-100) and binary vectors(dim-512) and their corresponding ids.

• Download the yaml

$ wget https://raw.githubusercontent.com/milvus-io/milvus-tools/main/yamls/H2M.yaml

• Config the yaml

H2M:
  milvus-version: 1.x
  data_path:
    - /Users/zilliz/float_1.h5
    - /Users/zilliz/float_2.h5
  data_dir:
  dest_host: '127.0.0.1'
  dest_port: 19530
  mode: 'overwrite'        # 'skip/append/overwrite'
  dest_collection_name: 'test_float'
  dest_partition_name: 'partition_1'
  collection_parameter:
    dimension: 128
    index_file_size: 1024
    metric_type: 'L2'

or

H2M:
  milvus_version: 1.x
  data_path:
  data_dir: '/Users/zilliz/HDF5_data'
  dest_host: '127.0.0.1'
  dest_port: 19530
  mode: 'append'        # 'skip/append/overwrite'
  dest_collection_name: 'test_binary'
  dest_partition_name: 
  collection_parameter:
    dimension: 512
    index_file_size: 1024
    metric_type: 'HAMMING'

1. Optional parameters: dest_partition_name
2. Just configure data_path or data_dir, while the other one is None.

• Parameter description

parameter	description	example
H2M	Task: Export data in HDF5 to Milvus.
milvus_version	Version of Milvus.	0.10.5
data_path	Path to the HDF5 file.	- /Users/zilliz/float_1.h5 - /Users/zilliz/float_1.h5
data_dir	Directory of the HDF5 files.	/Users/zilliz/Desktop/HDF5_data
dest_host	Milvus server address.	'127.0.0.1'
dest_port	Milvus server port.	19530
mode	Mode of migration	'append'
dest_collection_name	Name of the collection to import data to.	'test_float'
dest_partition_name	Name of the partition to import data to.(optional)	'partition_1'
collection_parameter	Collection-specific information such as vector dimension, index file size, and similarity metric.	dimension: 512 index_file_size: 1024 metric_type: 'HAMMING'

• Usage

$ milvusdm --yaml H2M.yaml

Milvus to Milvus

MilvusDM does not support migrating data from Milvus 2.0 standalone to Milvus 2.0 cluster.

Copy a collection of source_milvus or multiple partitions of a collection into the corresponding collection or partition in dest_milvus.

• Download the yaml

$ wget https://raw.githubusercontent.com/milvus-io/milvus-tools/main/yamls/M2M.yaml

• Config the yaml

M2M:
  milvus_version: 1.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'
  dest_host: '127.0.0.1'
  dest_port: 19530
  mode: 'skip' # 'skip/append/overwrite'

Or

M2M:
  milvus_version: 1.x
  source_milvus_path: '/home/user/milvus'
  mysql_parameter:
  source_collection: # specify the collection named 'test'
    test:
  dest_host: '127.0.0.1'
  dest_port: 19530
  mode: 'skip' # 'skip/append/overwrite'

1. Required parameters: source_milvus_path, source_collection, dest_host, dest_port and mode.
2. If you are using MySQL to manage source_milvus metadata, configure the mysql_parameter parameter, which is empty if you are using SQLite.
3. The source_collection parameter must specify a collection name, and the following partition name is optional and multiple partitions can be added.

• Parameter Description

parameter	description	example
M2M	Task: Copy the data from Milvus to the same version of Milvus.
milvus_version	The dest-milvus version.	0.10.5
source_milvus_path	Working directory of the source Milvus.	'/home/user/milvus'
mysql_parameter	MySQL settings for the source Milvus, including mysql host, user, port, password and database parameters.	host: '127.0.0.1' user: 'root' port: 3306 password: '123456' database: 'milvus'
source_collection	Names of the collection and its partitions in the source Milvus.	test: - 'partition_1' - 'partition_2'
dest_host	Target Milvus server address.	'127.0.0.1'
dest_port	Target Milvus server port.	19530
mode	Mode of migration	'skip'

• Usage

  It will copy the source_milvus collection data to dest_milvus.

$ milvusdm --yaml M2M.yaml

Milvus to HDF5

Export a Milvus collection or multiple partitions of a collection to a local HDF5 format file.

• Download the yaml

$ wget https://raw.githubusercontent.com/milvus-io/milvus-tools/main/yamls/M2H.yaml

• Config the yaml

M2H:
  milvus_version: 1.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'

Or

M2H:
  milvus_version: 1.x
  source_milvus_path: '/home/user/milvus'
  mysql_parameter:
  source_collection: # specify the collection named 'test'
    test:
  data_dir: '/home/user/data'

1. The source_milvus_path, source_collection, and data_dir parameters are required.
2. If you are using MySQL to manage source_milvus metadata, configure the mysql_parameter parameter, which is empty if you are using SQLite.
3. The source_collection parameter must specify a collection name, and the following partition name is optional and multiple partitions can be added.

• Parameter description

parameter	description	example
M2H	Task: Export Milvus data to local HDF5 format files.
milvus_version	The source-milvus version.	0.10.5
source_milvus_path	Working directory of Milvus.	'/home/user/milvus'
mysql_parameter	MySQL settings for Milvus， including mysql host, user, port, password and database parameters.	host: '127.0.0.1' user: 'root' port: 3306 password: '123456' database: 'milvus'
source_collection	Names of the collection and its partitions in Milvus.	test: - 'partition_1' - 'partition_2'
data_dir	Directory to save HDF5 files.	'/home/user/data'

• Usage

  It will generate the corresponding hfd5 format file and H2M configuration file in the data_dir directory.

$ milvusdm --yaml M2H.yaml

Code Structure

If you would like to contribute code to this project, you can find out more about our code structure:

• pymilvusdm
  • core
    • milvus_client.py: Performs client operations in Milvus.
    • read_data.py: Reads the HDF5 files on your local drive. (Add your code here to support reading data files in other formats.)
    • read_faiss_data.py: Reads Faiss data files.
    • read_milvus_data.py: Reads Milvus data files.
    • read_milvus_meta.py: Reads Milvus metadata.
    • data_to_milvus.py: Creates collections or partitions as specified in .yaml files and imports vectors and the corresponding IDs into Milvus.
    • save_data.py: Saves data as HDF5 files.
    • write_logs.py: Writes debug/info/error logs during runtime.
  • faiss_to_milvus.py: Imports Faiss data into Milvus.
  • hdf5_to_milvus.py: Imports HDF5 files into Milvus.
  • milvus_to_milvus.py: Migrates data from a source Milvus to a target Milvus.
  • milvus_to_hdf5.py: Saves Milvus data as HDF5 files.
  • main.py: Executes tasks as specified by the received .yaml file.
  • setting.py: Stores configurations for MilvusDM operation.
• setup.py: Creates and uploads pymilvusdm file packages to PyPI (Python Package Index).

Todo

• Faiss to Milvus
  • Supports vector data of binary type.
• Milvus to Milvus
  • Specify multiple collections or multiple partitions based on blocklist and allowlist.
  • When source_collection='*', all Milvus data is exported.
  • Support for merging multiple collections or partitions in source_milvus into one collection in dest_milvus.
• Milvus Dump
• Milvus Restore