Dash 教程

白天 夜间 首页 下载 阅读记录
  我的书签   添加书签   移除书签

Backport Providers

浏览 101 扫码 分享 2023-05-04 08:53:22

    🚀 原文链接：https://airflow.apache.org/docs/apache-airflow/stable/backport-providers.html

    若有收获，就点个赞吧

    0 人点赞

    上一篇:
    下一篇:
    • 书签
    • 添加书签 移除书签
    • Airflow
      • Home
      • Quick start
        • 🎩Running Airflow locally
        • 👓Running Airflow in Docker
      • Installation
      • Upgrade Check Script
      • Tutorial
      • Tutorial on the Taskflow API
      • How-to Guides
        • 🐶Add tags to DAGs and use it for filtering in the UI
        • 🦊Setting Configuration Options
        • 🌼Set up a Database Backend
        • 🐷Using Operators
        • 🌳Customizing state colours in UI
        • 🕸️Customizing DAG UI Header and Airflow Page Titles
        • 🌪️Creating a custom Operator
        • ☄️Managing Connections
        • 🎋Managing Variables
        • 🎄Running Airflow behind a reverse proxy
        • ⛈️Running Airflow with systemd
        • 🐝Running Airflow with upstart
        • 👻Using the Test Mode Configuration
        • 🧛‍♂️Define an operator extra link
        • 🛎️Email Configuration
      • UI / Screenshots
      • Concepts
      • Executor
        • 🦴Debug Executor
        • ⛑️Local Executor
        • 👘Sequential Executor
        • 🩳Celery Executor
        • 👜Dask Executor
        • 🕹️Kubernetes Executor
      • DAG Runs
      • Plugins
      • Logging & Monitoring
        • 🏂Logging and Monitoring architecture
        • 🧶Logging for Tasks
        • 🧲Metrics
        • 🏺Checking Airflow Health Status
        • 💰Error Tracking
      • Time zones
      • Using the Command Line Interface
      • Integration
      • Lineage
      • Modules Management
      • Production Deployment
      • FAQ
      • Privacy Notice
      • References
        • Operators and Hooks Reference
        • Command Line Interface and Environment Variables Reference
        • Macros
        • Python API
          • airflow.operators.bash
          • airflow.operators.latest_only
        • Configurations
        • Extra packages
      • 🔥Others
        • Scheduler
        • Smart Sensor
        • Backport Providers
    • C
      • 循环
      • 编译与运行
      • 🐔函数
      • 🦜数组
    • C
      • 编译与运行
      • 循环
      • 🦜数组
    • Flask
      • Quickstart
      • Tutorial
        • Project Layout
        • Application Setup
        • Define and Access the Database
    • Go
      • 数组
      • 循环
      • 命令行
      • 环境配置
      • 常见问题整理
    • Hadoop
      • General
        • Setting up a Single Node Cluster
    • Impala
      • Examples
        • 🧊TBPROPERTIES
      • Build-In Functions
        • Date and Time Functions
    • Java
      • 数组
      • 循环
    • Jupyter
      • 🏋️‍♀️安装插件
      • 🚴‍♂️常规问题
      • 插件
    • Linux
      • useradd与adduser的区别
      • 💦安装Homebrew
      • ⚡常用命令工具
    • LightGBM
      • 💨常见问题
    • Locust
      • Examples
        • Rasa Bot API压力测试
    • Mac
      • Homebrew
        • FAQ
        • 一键安装部署开发环境
        • 安装
      • 软件
        • 必备软件
    • Matplotlib
      • LaTex文字渲染
    • MySQL
      • Mac安装MySQL 8.0
      • FAQ
    • NuShell
      • 🔱插件
    • NeoVim
      • 常见报错
    • OhMyZsh
      • FAQ
    • Pandas
      • Examples
        • 💦操作Excel
        • 🧢Highlight In Pandas DataFrame
      • API Reference
    • Plotly
      • FAQ
      • Graphing Libraries
        • Home
        • Quick Start
          • Get Started
          • Reference
        • Examples
          • 基础
            • 图形数据结构
    • Python
      • pip
        • 安装poetry太慢
        • 🚄安装时报错缺少VC
      • 字符串
        • 🐯多行字符串去除缩进
      • 类
      • 正则表达式
        • 匹配空格
      • 基础模块
        • os
      • Examples
        • 🌰Python常见报错整理
        • 🐋CentOS下画图中文显示乱码
        • 👖使用URI连接Impala
        • 🚔神器Rich—完美终端工具
        • 📐Python读取YAML文件
        • 📏建模工程的技巧
        • ⛲终端下输出彩色字体
        • 💳开发自定义包
    • PyTorch
    • R
      • Examples
        • 🖲️R读取解压压缩文件中文乱码
    • Redis
      • 🦷Mac下安装Redis
    • Rasa
      • 🌋Examples
        • 🏖️CentOS 7安装Rasa
      • 🥇Building Assistants
        • 🚛Command Line Interface
        • Best Practices
          • 🏰Conversation-Driven Development
          • 💥Generating NLU Data
      • 🖨️Concepts
        • 📷Training Data
          • 📐Training Data Format
    • Sanic
      • 常见问题
      • Basics
        • Response
        • Sanic Application
        • Handlers
        • Request
    • SHAP
      • 💪 Topical Overviews
        • 🙈 An introduction to explainable AI with Shapley values
        • 🙉 Be careful when interpreting predictive models in search of causal insights
      • 🤳 Tabular examples
        • 💐 Tree Based models
          • 🙈 Basic SHAP Interaction Value Example in XGBoost
          • 🙉 Catboost tutorial
    • Scikit-Learn
      • Get started
      • Tutorials
        • An introduction to machine learning with scikit-learn
        • A tutorial on statistical-learning for scientific data processing
        • Working With Text Data
    • Scala
      • 常见问题
    • Spark
      • 💌运行Scala程序
      • 🥘运行Java程序
    • Sphinx
      • 美化文档
      • readthedocs编译显示无nbsphinx模块信息
    • Streamlit
      • Examples
        • 🛶AirFlow项目更新和部署工具
    • TensorFlow2
      • 💎数学操作
      • 教程
        • 1. 面向初学者的快速入门
        • 2. 面向专家的快速入门
        • 初级
          • 机器学习基础（Keras）
            • 2. 基本文本分类
            • 1. 基础图像分类
    • Ubuntu
      • 🦄基础环境搭建
    • VS Code
      • 远程设置Java环境
      • 👕远程设置PYTHONPATH
      • 🥯Terminal
      • 🐙 Plugins
      • 🦀 VS Code for Python
    • Windows
      • Windows必装
      • 挂载阿里云盘
    • XGBoost
      • Get Started with XGBoost
      • XGBoost Tutorials
        • Introduction to Boosted Trees
        • Introduction to Model IO
        • Distributed XGBoost YARN on AWS
        • Distributed XGBoost on Kubernetes
        • Distributed XGBoost with Dask
      • XGBoost Parameters
      • Prediction
      • XGBoost Tree Methods
    • Yolo
      • Home
    暂无相关搜索结果！

      让时间为你证明

      展开/收起文章目录

      分享，让知识传承更久远

      文章二维码

      手机扫一扫，轻松掌上读

      文档下载

      请下载您需要的格式的文档，随时随地，享受汲取知识的乐趣！
      PDF文档 EPUB文档 MOBI文档

      书签列表

        阅读记录

        阅读进度: 0.00% ( 0/0 ) 重置阅读进度
          思维导图备注