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Install Milvus from Source Code

Build from source

Requirements

  • Operating system

  • Ubuntu 18.04 or higher

  • CentOS 7

Note: If your Linux operating system does not meet the requirements, we recommend that you pull a Docker image of Ubuntu 18.04 or CentOS 7 as your compilation environment.

  • GCC 7.0 or higher to support C++ 17

  • CMake 3.12 or higher

  • Git

For GPU-enabled version, you will also need:

  • CUDA 10.0 or higher

  • NVIDIA driver 418 or higher

Compilation

Step 1 Install dependencies

Install in Ubuntu
$ cd [Milvus root path]/core
$ ./ubuntu_build_deps.sh
Install in CentOS
$ cd [Milvus root path]/core
$ ./centos7_build_deps.sh

Step 2 Build

$ cd [Milvus root path]/core
$ ./build.sh -t Debug

or

$ ./build.sh -t Release

By default, it will build CPU-only version. To build GPU version, add -g option.

$ ./build.sh -g

If you want to know the complete build options, run the following command.

$./build.sh -h

When the build is completed, everything that you need in order to run Milvus will be installed under [Milvus root path]/core/milvus.

Launch Milvus server

$ cd [Milvus root path]/core/milvus

Add lib/ directory to LD_LIBRARY_PATH

$ export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:[Milvus root path]/core/milvus/lib

Then start Milvus server:

$ cd scripts
$ ./start_server.sh

To stop Milvus server, run:

$ ./stop_server.sh

Compile Milvus on Docker

With the following Docker images, you should be able to compile Milvus on any Linux platform that runs Docker. To build a GPU supported Milvus, you need to install NVIDIA Docker first.

Step 1 Pull Milvus Docker images

Pull CPU-only image:

$ docker pull milvusdb/milvus-cpu-build-env:latest

Pull GPU-enabled image:

$ docker pull milvusdb/milvus-gpu-build-env:latest

Step 2 Start the Docker container

Start a CPU-only container:

$ docker run -it -p 19530:19530 -d milvusdb/milvus-cpu-build-env:latest

Start a GPU container:

  • For nvidia docker 2:
$ docker run --runtime=nvidia -it -p 19530:19530 -d milvusdb/milvus-gpu-build-env:latest
  • For nvidia container toolkit:
docker run --gpus all -it -p 19530:19530 -d milvusdb/milvus-gpu-build-env:latest

To enter the container:

$ docker exec -it [container_id] bash

Step 3 Download Milvus source code

Download latest Milvus source code:

$ cd /home
$ git clone https://github.com/milvus-io/milvus

To enter its core directory:

$ cd ./milvus/core

Step 4 Compile Milvus in the container

If you are using a CPU-only image:

  1. run build.sh:
$ ./build.sh -t Release
  1. Start Milvus server：
$ ./start_server.sh

If you are using a GPU-enabled image:

  1. Add cuda library path to LD_LIBRARY_PATH:
$ export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
  1. Add cuda binary path to PATH:
$ export PATH=/usr/local/cuda/bin:$PATH
  1. Add a -g parameter to run build.sh:
$ ./build.sh -g -t Release
  1. Start Milvus server：
$ ./start_server.sh

Troubleshooting

Error message: protocol https not supported or disabled in libcurl

Follow the steps below to solve this problem:

  1. Make sure you have libcurl4-openssl-dev installed in your system.
  2. Try reinstalling the latest CMake from source with --system-curl option:
$ ./bootstrap --system-curl
$ make
$ sudo make install

If the --system-curl command doesn't work, you can also reinstall CMake in Ubuntu Software on your local computer.

Error message: internal compiler error

Try increasing the memory allocated to Docker. If this doesn't work, you can reduce the number of threads in CMake build in [Milvus root path]/core/build.sh.

make -j 8 install || exit 1 # The default number of threads is 8.

Note: You might also need to configure CMake build for faiss in [Milvus root path]/core/src/index/thirdparty/faiss.

Error message: error while loading shared libraries: libmysqlpp.so.3

Follow the steps below to solve this problem:

  1. Check whether libmysqlpp.so.3 is correctly installed.
  2. If libmysqlpp.so.3 is installed, check whether it is added to LD_LIBRARY_PATH.

CMake version is not supported

Follow the steps below to install a supported version of CMake:

  1. Remove the unsupported version of CMake.

  2. Get CMake 3.12 or higher. Here we get CMake 3.12.

    $ wget https://cmake.org/files/v3.12/cmake-3.12.2-Linux-x86_64.tar.gz

  3. Extract the file and install CMake.

    $ tar zxvf cmake-3.12.2-Linux-x86_64.tar.gz
$ mv cmake-3.12.2-Linux-x86_64 /opt/cmake-3.12.2
$ ln -sf /opt/cmake-3.12.2/bin/* /usr/bin/