Hi all,

I understand that the following question is a long shot without any proper 
proof/tests from my side but it's a little bit difficult to make a test 
case from the specific part of my app so I will just ask anyway in case 
anyone knows anything.

The situation is like this: 

   - I have a hashmap with *3386* items that I pass through few functions 
   in order to append new keys or update existing ones to each hashmap entry.
   - Each hashmap item has 20 keys with various data types (mostly strings)
   - All my transformation functions use `reduce`.

The problem:

I have a top level function which I inside it I call 7 other functions (all 
written by me) and for some reason I haven't discovered is that it needs 
around 2 seconds to return a result even though the items aren't many.
Now, i used `time` to benchmark each function and when I found which one is 
taking a lot of time to return, after I removed it, I discovered that the 
problem still existed but now moved on to a different function.

I did a bunch of tests with those 3386 on the REPL and reduce but I didn't 
notice anything weird/slow so it must be a combination of things. Also, i 
doubt that this is a RAM problem, i have allocated 4GB for the JVM. 

So, my question is, has anyone every seen a situation like this with a 
bunch of `reduce` calls? Is there anything at all that I should check and 
maybe missed it? 

Regards

Alex

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