test/milvus
1
0
Fork 0
mirror of https://gitee.com/milvus-io/milvus.git synced 2024-11-29 18:38:44 +08:00
Code Issues Actions 11 Packages Projects Releases Wiki Activity
193 Commits 94 Branches 105 Tags 184 MiB
Go 62.8%
C++ 17.6%
Python 17.3%
Shell 0.9%
Groovy 0.6%
Other 0.7%
dfdc514886
Go to file
Xu Peng dfdc514886 feat(db): merge file changes 
Former-commit-id: 806100220b3af5d11d0a6d99ecc16fe55536b9fd
2019-04-16 16:47:22 +08:00
cpp feat(db): merge file changes 2019-04-16 16:47:22 +08:00
install support base dockerfile and update readme 2019-04-03 16:10:52 +08:00
pyengine Update vector engine 2019-04-10 21:06:48 +08:00
.dockerignore support base dockerfile and update readme 2019-04-03 16:10:52 +08:00
.gitignore build debug thrift 2019-04-16 15:41:05 +08:00
Dockerfile support base dockerfile and update readme 2019-04-03 16:10:52 +08:00
environment.yaml support base dockerfile and update readme 2019-04-03 16:10:52 +08:00
README.md Update README.md 2019-04-03 16:14:12 +08:00
requirements.txt Add requirements.txt 2019-03-25 19:40:42 +08:00

README.md

Vecwise Engine Dev Guide

Install via Conda

  1. Install Miniconda first

    • bash vecwise_engine/install/miniconda.sh

  2. Create environment

    • conda env create -f vecwise_engine/environment.yaml

  3. Test your installation

Install via Docker

  1. Install nvidia-docker

  2. docker build -t cuda9.0/VecEngine .

  3. docker run -it cuda9.0/VecEngine bash

Create Database

  1. Install MySQL

    • sudo apt-get update
    • sudo apt-get install mariadb-server

  2. Create user and database:

    • create user vecwise;
    • create database vecdata;
    • grant all privileges on vecdata.* to 'vecwise'@'%';
    • flush privileges;

  3. Create table:

    • cd vecwise_engine/pyengine && python manager.py create_all