GitHub user aglinxinyuan added a comment to the discussion: Why State flows 
with Data instead of being Centralized by the controller?

The reason we want to avoid global state in a pipelined distributed workflow 
system is probably similar to why we avoid global variables in a multithreaded 
program. We don't want one thread to modify a variable while another thread is 
using it.

The same principle applies to the workflow. We don't want a downstream operator 
to modify some shared state while an upstream operator is still using it. We 
had a similar issue with large binaries. You can look at the previous 
discussions to see why we need locking for large binaries. The same concept is 
also covered in CS223, Transaction Processing and Distributed Data Management.


GitHub link: 
https://github.com/apache/texera/discussions/7429#discussioncomment-17949468

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