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Add troubleshooting information for INSTALL.md and enhance readability (#1274 )

* Update INSTALL.md

1. Add new troubleshooting message;
2. Enhance readability.

Signed-off-by: Lutkin Wang <yamasite@qq.com>

* Update INSTALL.md

Signed-off-by: Lutkin Wang <yamasite@qq.com>

* Update INSTALL.md

Signed-off-by: Lutkin Wang <yamasite@qq.com>

* Update INSTALL.md

Add CentOS link.

Signed-off-by: Lutkin Wang <yamasite@qq.com>

2020-02-20 13:44:02 +08:00

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Install Milvus from Source Code

Build from source
Compile Milvus on Docker
Troubleshooting

Build from source

Requirements

Ubuntu 18.04 or higher
CentOS 7

If your 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

For GPU-enabled version, you will also need:

CUDA 10.0 or higher
NVIDIA driver 418 or higher

Compilation

Step 1 Install dependencies

$ cd [Milvus root path]/core
$ ./ubuntu_build_deps.sh

Step 2 Build

Build in Ubuntu

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

$ ./build.sh -t Release

Build in CentOS

$ cd [Milvus root path]/core
$ ./centos7_build_deps.sh

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, all the stuff 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 run 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:

$ docker run --runtime=nvidia -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, compile it like this:

$ ./build.sh -t Release

If you are using a GPU-enabled image, you need to add a -g parameter:

$ ./build.sh -g -t Release

Then 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:

Make sure you have libcurl4-openssl-dev installed in your system.
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.

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