services:
NebulaGraphDD:
image: ${DESKTOP_PLUGIN_IMAGE}
metad0:
profiles: ["core"]
labels:
- "com.vesoft.scope=core"
image: vesoft/nebula-metad:v3.3.0
environment:
for Docker compose deployment, see https://gist.github.com/wey-gu/950e4f4c673badae375e59007d80d372
a. create services per metad and storaged pod with LoadBalancer type to expose outside the cluster
b. Use TCP Proxy(b.1) or/and DNS(b.2) to resolve endpoint as their : inside the cluster
In this example, in b. I give a demo where both TCP Proxy and DNS are used, actually only DNS is enough if the exposed port remains same of src and target.
- install things needed
brew install node_exporter
deploy dashboard in docker-compose ...
- configuration on dashboard:
Add gh action:
name: release
on:
release:
types:
- published
#!/usr/bin/env bash | |
# http://papers.ch/speeding-up-your-mac-osx-terminal-input/ | |
#echo "Disable press-and-hold for keys in favor of key repeat" | |
#defaults write NSGlobalDomain ApplePressAndHoldEnabled -bool false | |
echo "Set a blazingly fast keyboard repeat rate" | |
defaults write NSGlobalDomain KeyRepeat -int 2 |
For k8s deployment, see https://gist.github.com/wey-gu/699b9a2ef5dff5f0fb5f288d692ddfd5
If not leveraging multiple interfaces, we have to use TLS instead to leverage SNI routing
ip address add 10.1.1.157/24 dev eth0
ip address add 10.1.1.156/24 dev eth0
ip address add 10.1.1.155/24 dev eth0
像一般的 Web 应用之于数据库一样,一个典型的基于 NebulaGraph 的传统线上应用可以又三部分组成:
- 前端,作为人机交互界面,调用后端 API
- 后端,处理基于 Web 的 API,生成 NebulaGraph 图数据库的查询语句,请求 NebulaGraph,处理结果返回 API 调用方
- 图数据库:NebulaGraph
今天,我们给大家简单演示如何开发一个基于 NebulaGraph 的智能机器人应用。本节课旨在快速将我们在 NebulaGraph 入门课程所学与实践开发落地场景连接起来,不会拘泥所有的开发细节, 然而所有的细节在这个示例项目作者的博客中(地址 https://www.siwei.io/siwi/ )都有更详细介绍,如果同学们感兴趣,欢迎访问博客和它的 Github 代码仓库了解。
- Fraud Detection https://siwei.io/fraud-detection-with-nebulagraph/
- 思路是把我这个文章的方式藉由 GraphXR 的能力呈现出来,未来甚至可以用 iframe 来 embed 结果,像这个文章这种 https://distill.pub/2021/gnn-intro/
- Graph Pattern based 方法,章节 1.2.1
- 数据集 https://github.com/wey-gu/fraud-detection-datagen
- 介绍风控专家提供的图模式,展示可视化
MATCH (n) WHERE id(n) == "200000010265"