JXC | 进销存管理系统，采用SpringBootShiroMyBatisEasyUI | Security Framework library

I want to get the quantity of electores and votes in a single row.

I have this data set:

I have a huge PySpark dataframe and I'm doing a series of Window functions over partitions defined by my key.

The issue with the key is, my partitions gets skewed by this and results in Event Timeline that looks something like this,

I know that I can use salting technique to solve this issue when I'm doing a join. But how can I solve this issue when I'm using Window functions?

I'm using functions like lag, lead etc in the Window functions. I can't do the process with salted key, because I'll get wrong results.

How to solve skewness in this case?

I'm looking for a dynamic way of repartitioning my dataframe without skewness.

Updates based on answer from @jxc

I tried creating a sample df and tried running code over that,

Thanks to @jxc I was able to get a working code in post:

Bash loop to make directory, if numerical id found in file

I'm trying to use awk to create sub-directories in a directory which will already be created in /path/to/directory. If the full string in $2 of file1 is found in $0, second line (always this format) of file2. There will be more lines in file2 then matches.

The directory will already be created in /path/to/directory. In the example below, SubDirectory already exists in /path/to/directory and since 19-0000_Lname-yy-zzz and 19-0001_Lname-yyyy-zzzzz are found in $2 of file1, they are created in the subDirectory. Thank you :).

I thought of, maybe these two lines: