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An efficient way to assign user_ids to huge dataset under certain conditions


use python dictionary as a lookup table to store node_ids and their corresponding user_ids. Retrieve tx_id, node_id list ordered by tx_id, and if a node_id appeared with two tx_ids, the tx which comes later will find that the node_id already stored in python dictionary and get the user_id from dict.

This is union-find partitioning problem, the question is how to unite sets(tx in your case) if they have a common node_id.


Categories : Algorithm

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