数据迁移 Quick Start

by BenedictJin 5 years ago

macOS ◆ xterm-256color ◆ zsh 15050 views

# 首先，检查 Java 和 Python 是否安装成功，版本是否正确
java -version
python -V
# 接下来，创建空目录
mkdir -p /tmp/datax
cd /tmp/datax
# 下载 DataX
wget https://tsdbopensource.oss-cn-beijing.aliyuncs.com/datax.tar.gz
# 解压 DataX
tar zxvf datax.tar.gz
ll
ll datax
ll datax/job/job.json
# 使用 DataX 自带的迁移任务，检验流程是否能走通
cat datax/job/job.json
# 通过配置文件可以看出，数据源是 Stream Reader，该数据源会随机产生字符串
# 目标源是 Stream Writer，会将从 Stream Reader 中接受到的字符串打印到控制台
# 现在，通过 datax.py 脚本启动任务
python datax/bin/datax.py datax/job/job.json
# 看到上面的汇总信息，说明最简单的 DataX 迁移任务就走通了，也说明整个流程已经没问题了

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You can download this recording in asciicast v2 format, as a .cast file.

Download

Replay in terminal

You can replay the downloaded recording in your terminal using the asciinema play command:

asciinema play 246811.cast

If you don't have asciinema CLI installed then see installation instructions.

Use with stand-alone player on your website

Download asciinema player from the releases page (you only need .js and .css file), then use it like this:

<!DOCTYPE html>
<html>
<head>
  <link rel="stylesheet" type="text/css" href="asciinema-player.css" />
</head>
<body>
  <div id="player"></div>
  <script src="asciinema-player.min.js"></script>
  <script>
    AsciinemaPlayer.create(
      '/assets/246811.cast',
      document.getElementById('player'),
      { cols: 178, rows: 48 }
    );
  </script>
</body>
</html>

See asciinema player quick-start guide for full usage instructions.

While this site doesn't provide GIF conversion at the moment, you can still do it yourself with the help of asciinema GIF generator utility - agg.

Once you have it installed, generate a GIF with the following command:

agg https://asciinema.org/a/246811 demo.gif

Or, if you already downloaded the recording file:

agg demo.cast demo.gif

Check agg --help for all available options. You can change font family and size, select color theme, adjust speed and more.

See agg manual for full usage instructions.