bigdata

在10.cluster章节中，第一段提到了“要了解TDengine 2.0的集群管理，需要对集群的基本概念有所了解，请看《TDengine整体架构》一章。”
为了便于用户理解，应该如后面所述的“《立即开始》”一样，为《TDengine整体架构》加上跳转链接。

《TDengine整体架构》这一章的链接如下：https://www.taosdata.com/cn/documentation/architecture

文档仓库如下：[10.cluster](https://github.com/taosdata/TDengine/blob/develop/documentation20/cn/10.cl

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Description
Please provide a clear and concise description of the problem. This should contain all the steps nee

What would you like to be added:

Currently, there are few materials about job plugins(ssh/env/svc) such as scenarios, design and usages, expecially about the available parameters in these plugins.

Why is this needed:

We've got a lot of feedback about how to use the job plugins.

This is to track implementation of the ML-Features: https://spark.apache.org/docs/latest/ml-features

Bucketizer has been implemented in dotnet/spark#378 but there are more features that should be implemented.

• Feature Extractors
  • TF-IDF
  • Word2Vec (dotnet/spark#491)
  • CountVectorizer (https://github.com/dotnet/spark/p

especially for less obvious but lengthy code snippets!