Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escaping: Escape characters +-&|!(){}[]^"~*?:\ with \, e.g. \+
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
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Hi, I Have A Few Questions Regards To


VivaciousPenguin66 What's your thought on Prefect? There are so many pipeline library and I wasn't so sure how different are they. I have experience with Airflow. With Kedro, we were in hope that data scientist will write the pipeline themselves with minimal effort to handover to another engineer to work on. For serious production (need to scale), we consider convert Kedro pipeline to Airflow, there are plugin to do that, tho I am not sure how mature they are.

  
  
Posted 3 years ago
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