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"
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Unanswered
Hey There, I Moved The Clearml S3 Bucket Where I Stored All My Clearml Data From One S3 Bucket To Another And Now I Realized That All The Models/Experiments Logged In The Clearml-Server Still Refer To The Old S3 Bucket. Is There A Way To Update All The Re


Well, in case you do want to try it out:

For models, assuming your original URLs start with s3://<old-bucket-name>/ , you'll need a JS script, something like:
db.model.find({uri:{$regex:/^s3/}}).forEach(function(e,i) { e.uri = e.uri.replace("s3://<old-bucket-name>/","s3://<new-bucket-name>/"); db.model.save(e); });
And than:
` sudo docker exec -it clearml-mongo /bin/bash

paste script into this file and exit nano

nano script.js

this should run the script against the backend db

mongo backend script.js `
Please take care : since I'm not in front of computer right now, I can't test it, so please back up your data before trying it , and let me know if you encounter any errors...

  
  
Posted 3 years ago
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3 years ago
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