bigdata

It is dangerous to use the pointer after free. We should use before free.
https://github.com/taosdata/TDengine/blob/develop/src/util/src/tworker.c

https://github.com/taosdata/TDengine/blob/develop/src/util/src/tqueue.c
![image](https://user-images.githubusercontent.com/6055324/14048

Hello,
Considering your amazing efficiency on pandas, numpy, and more, it would seem to make sense for your module to work with even bigger data, such as Audio (for example .mp3 and .wav). This is something that would help a lot considering the nature audio (ie. where one of the lowest and most common sampling rates is still 44,100 samples/sec). For a use case, I would consider vaex.open('Hu

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!