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
Unanswered
I Have A Problem That Might Not Directly Be Clearml Related, But Maybe Someone Here Has An Idea: I Run A Clearml-Server On A Machine With 128Gb Ram, 32 Cores And 2 Gpus. On The Same Machine I Run 2 Clearml-Agent Each With Access To 1 Gpu, 12 Cores, An 48G


ReassuredTiger98 I have a feeling this might be related to elastic search which usually preallocates a lot of RAM (half of the system's RAM, if I'm not mistaken?) and does not play nice with others.... Do you have any specific memory settings for ES in the clearml docker compose?

  
  
Posted 2 years ago
157 Views
0 Answers
2 years ago
one year ago