Install Milvus Standalone with Docker Compose

This topic describes how to install Milvus standalone using Docker Compose.

Prerequisites

Check the requirements for hardware and software prior to your installation.

For the users using MacOS 10.14 or later, set the Docker virtual machine (VM) to use a minimum of 2 virtual CPUs (vCPUs) and 8 GB of initial memory. Otherwise, installation might fail.

Download the YAML file

Download milvus-standalone-docker-compose.yml and save it as docker-compose.yml manually, or with the following command.

$ wget https://github.com/milvus-io/milvus/releases/download/v2.2.9/milvus-standalone-docker-compose.yml -O docker-compose.yml

Start Milvus

In the same directory as the docker-compose.yml file, start up Milvus by running:

$ sudo docker-compose up -d

Creating milvus-etcd  ... done
Creating milvus-minio ... done
Creating milvus-standalone ... done

Now check if the containers are up and running.

$ sudo docker-compose ps

After Milvus standalone starts, there will be three docker containers running, including the Milvus standalone service and its two dependencies.

      Name                     Command                  State                            Ports
--------------------------------------------------------------------------------------------------------------------
milvus-etcd         etcd -advertise-client-url ...   Up             2379/tcp, 2380/tcp
milvus-minio        /usr/bin/docker-entrypoint ...   Up (healthy)   9000/tcp
milvus-standalone   /tini -- milvus run standalone   Up             0.0.0.0:19530->19530/tcp, 0.0.0.0:9091->9091/tcp

Stop Milvus

To stop Milvus standalone, run:

sudo docker-compose down

To delete data after stopping Milvus, run:

sudo rm -rf  volumes

What's next

Having installed Milvus, you can:

• Check Hello Milvus to run an example code with different SDKs to see what Milvus can do.

• Learn the basic operations of Milvus:

  • Connect to Milvus server
  • Create a collection
  • Create a partition
  • Insert data
  • Conduct a vector search

• Explore MilvusDM, an open-source tool designed for importing and exporting data in Milvus.

• Monitor Milvus with Prometheus.