David creates a SaK and sends it to Cesar. Well, the SaK ensures a smooth connection between your local environment and GCS, but not between GEE and GCS.įor instance, imagine that you have access to 2 Google user accounts, one personal and one for your work (in this example, we will call them David and Cesar). Why does this occur if I have successfully configured my SaK in my local system?. This error arises when GEE tries to send an exported task results but your EE USER does not have enough privileges to write/read the bucket.
However, if for some reason a user needs to change the access control policy (maybe to reduce the data exposure), from rgee v.1.2.0 all the rgee GCS functions ( sf_as_ee, local_to_gcs, raster_as_ee, and stars_as_ee) support the predefinedAcl argument too (Thanks to jsocolar).ĮRROR in Earth Engine servers: Unable to write to bucket demo_0001 (permission denied). This simple change should avoid users dealing with access control issues. To avoid this issue, from rgee v.1.3 we opt to change the default predefinedAcl argument from ‘private’ to ‘bucketLevel’. It happens due that googleCloudStorageaR by default expects buckets created with fine-grained access (ACL support, see cloudyr/googleCloudStorageR#111). Read more at # Good - googleCloudStorageR :: gcs_upload ( file = demo_data, name = "demo_data.csv", bucket = "demo_0002", # Bucket with uniform control access predefinedAcl = "bucketLevel" )
Demo_data <- ame (a = 1 : 10, b = 1 : 10 ) # Bad - googleCloudStorageR :: gcs_upload ( file = demo_data, name = "demo_data.csv", bucket = "demo_0002" # Bucket with uniform control access ) # Error: Insert legacy ACL for an object when uniform bucket-level access # is enabled.
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