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Efficient Dataset Sorting or Search
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Efficient Dataset Sorting or Search

MediumPython

Problem

Criteo's observability workflows may receive event records in arbitrary timestamp order. Implement a function that sorts the records by timestamp and efficiently returns every event whose timestamp falls within an inclusive range.

Formal Specification

Each event is represented as a two-element list [timestamp, event_id], where timestamp is an integer and event_id is a string. Given a list of events, start_time, and end_time, return a two-element list:

  1. All events sorted in ascending timestamp order. Events with equal timestamps must retain their original relative order.
  2. The sorted events whose timestamps satisfy start_time <= timestamp <= end_time, in sorted order.

You may sort the input list in place. The range result may be empty.

Constraints

  • 0 <= events.length <= 10^5
  • 0 <= events[i][0] <= 10^9
  • 0 <= start_time <= end_time <= 10^9
  • Event identifiers are non-empty strings
  • Equal timestamps must preserve input order

Function Signature

def find_events_in_time_range(events, start_time, end_time):
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