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
Is There A Way To Do S3 -> S3 Copy While Doing A Dataset? I Don’T Want To Get It To Local From S3 And Then Upload As A Dataset To S3

Is there a way to do s3 -> s3 copy while doing a dataset? I don’t want to get it to local from s3 and then upload as a dataset to s3

  
  
Posted 3 years ago
Votes Newest

Answers 4


Hi TrickySheep9 , didnt get the idea, you are using clearml-data ? you just want to upload a local folder to S3?

  
  
Posted 3 years ago

Why not using it directly from S3?

You can https://allegro.ai/clearml/docs/docs/examples/examples_storagehelper.html#downloading-a-file it with the storageManager

  
  
Posted 3 years ago

Yes using clearml-data.

Can I pass a s3 path to ds.add_files() essentially so that I can directly store a dataset without having to get the files to local and then upload again. Makes sense?

  
  
Posted 3 years ago

When uploading the files, hash is being calculated for every entry, and this is done for the local files. so currently clearml-data support local files.

What would you like to do with the dataset? Why not using it directly from S3?

  
  
Posted 3 years ago
1K Views
4 Answers
3 years ago
one year ago
Tags
Similar posts