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  • 安装、启动和测试

    下一步 安装进度显示在屏幕上。 Ambari 安装、启动并对每个组件运行简单的测试。进程的总体状态显示在屏幕顶部的进度栏中,逐个主机的状态显示在主要部分中。在此过程中请勿刷新浏览器。刷新浏览器可能会中断进度指示器。 要查看有关每个主机已完成哪些任务的具体信息,请单击相应主机的 Message 列中的链接。在 Tasks 弹出窗口中,单击单个任务以查...
  • Install, Start and Test

    Next Step The progress of the install displays on the screen. Ambari installs, starts, and runs a simple test on each component. Overall status of the process displays in progres...
  • Development Roadmap

    Development Roadmap List of Features and Milestones Connector Implementation Status Event Store Implementation Status Development Roadmap The development roadmap of Apache Ev...
  • Docker Integration

    2677 2025-03-19 《Apache Gobblin 0.17.0》
    Introduction Docker Docker Repositories Run the docker image with simple wikipedia jobs Use Gobblin Standalone on Docker for Kafka and HDFS Ingestion Run Gobblin as a Service ...
  • EventMesh Schema Registry (OpenSchema)

    EventMesh Schema Registry (OpenSchema) Overview of Schema and Schema Registry Schema Schema Registry Comparison of Schema Registry in Different Projects Overview of OpenSchema ...
  • Tailwind CSS 响应式官网开发

    本节将介绍如何使用 Tailwind CSS 开发一个现代化的响应式企业官网,包括页面布局、组件开发、响应式设计等方面。 页面布局 导航栏组件 // components/Navbar.tsx import { useState } from 'react' ; const Navbar = () => ...
  • Tailwind CSS 动画和过渡效果

    在现代 Web 应用中,合理使用动画和过渡效果可以大大提升用户体验。Tailwind CSS 提供了丰富的动画和过渡工具类,让我们能够轻松实现各种交互效果。本节将详细介绍如何在项目中运用这些特性。 过渡效果基础 基础过渡属性 Tailwind CSS 提供了几个核心的过渡工具类: <button class = "transition-all d...
  • Issue Tracking

    2524 2024-05-25 《Apache JDO 3.2.1》
    JIRA View Issues JIRA The JDO project uses JIRA to track issues. We use the following workflow for our JIRA issues: Open→Resolved(<→Reopened)→Closed When the engineer has ...
  • Connectors

    Connectors Connector Source Sink CloudEvents Implements Technical Solution Structure and process Design Detail Description Worker Connector ConnectorRecord with CloudEvent...
  • Google BigQuery

    Querying from Google BigQuery Iceberg tables To read an Apache XTable™ (Incubating) synced Iceberg table from BigQuery , you have two options: Using Iceberg JSON metadata file ...