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explore-dataset

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part of axiomhq/cliby axiomhq

You have been handed a stream of logs you have never seen before; this works out what is actually in it and writes you a plain summary you can act on.

WHEN TO USE

SCOPE

USE FOR

  • Get oriented in a dataset you have never queried before.
  • Find out which fields exist in a dataset and what type of data each one holds.
  • Check how much data a dataset receives per hour and whether it is still fresh.
  • See the most common values in a field, like status codes or service names.
  • Search a dataset for early signs of errors or failures.

NOT FOR

  • Skip this once you already understand a dataset's schema — just query it directly.
  • Skip this for checking a single field's type — run getschema on its own.
  • Avoid this in production; its search step is expensive, so extract the pattern and optimize it first.
  • Skip re-running this on a dataset you have already explored — reuse what you found the first time.