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
Answered
Hi... Loving Clearml On-Prem! But... It Is Starting To Grow To Large Db Sizes, Especially The Elastic Db. Is There Any Way To Understand Which Tasks/Projects Take Up The Most Storage Space In The Elastic Db And Manage The Data Usage? I'M Guessing These Ar

Hi... Loving ClearML On-prem! But... it is starting to grow to large DB sizes, especially the Elastic DB.
Is there any way to understand which Tasks/Projects take up the most storage space in the Elastic DB and manage the data usage? I'm guessing these are DB indices, but what are they connected to? Are there any practices for mitigating these index sizes?
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Posted one month ago
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SuperficialDolphin93
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Hi @<1523708920831414272:profile|SuperficialDolphin93> ,

I would use Kibana to investigate the documents.

  
  
Posted one month ago
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RoundElephant20
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one month ago
one month ago
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