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Implement windowing functions

See original GitHub issue

So far, aggregation can only work without windowing (without the OVER keyword).

Unfortunately, I do (still) not know how to implement the very broad windowing techniques from SQL in dask.

Issue Analytics

  • State:open
  • Created 3 years ago
  • Comments:5

github_iconTop GitHub Comments

2reactions
nils-brauncommented, May 13, 2021

Here is the list of window operations and their implementation status:

  • COUNT
  • AVG
  • SUM
  • MAX
  • MIN
  • RANK
  • DENSE_RANK
  • ROW_NUMBER
  • FIRST_VALUE
  • LAST_VALUE
  • LEAD
  • LAG
  • NTH_VALUE
  • NTILE
1reaction
nils-brauncommented, Apr 6, 2021

Hi @dwy904, @beckernick! It took some time, but I finally managed to add a first implementation of windowing in dask-sql in the PR #157 It might not be optimal already, but at least it works in my tests. If you want, feel free to have a look and test it. I have started with only a few functions, more (e.g. lag and rank) can be added (if you would like to do a PR, that would be really cool! I am very happy to guide you through the process).

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