S3 DataSync error

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Hi, I am trying to run an S3 migration (in the same region) from one bucket to another. I've done this successfully ion the past using the same bucker settings. However, on of the folders fails to copy all the files across. Note that there are folders and files with the same name in this folder. I get the error: [ERROR] Failed to read next entry /inbox/0d4ispqg9n13n286fnafutr9e28it3sb43f4qso1 while processing directory /inbox: S3 Cache type mismatch: two objects with the same key The file can be downloaded and copied to the new bucket manually. It just fails om the DataSync migration.

Any ideas what might be causing the problem?

breen25
asked 9 months ago110 views
1 Answer
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Hi breen25,

The error message "S3 Cache type mismatch: two objects with the same key," indicates that there are two or more objects with the same name (key) in the source S3 bucket's folder you're trying to migrate.

Amazon S3 doesn't allow objects with the same key within the same prefix (folder) because object keys must be unique. This issue can occur when there are files and folders with the same name within the same directory. Since S3 treats objects with the same key as different versions of the same object, it cannot differentiate between files and folders with the same name.

To resolve this issue,:

  1. Rename the conflicting files or folders: Before initiating the migration, locate the files or folders with duplicate names within the same directory and rename them to ensure unique names.

  2. Migrate files individually or use a script: If the number of conflicting objects is small, you can manually download and re-upload the problematic files to the destination bucket, or write a script to handle the migration of these specific files.

  3. Restructure your S3 bucket: If the issue persists across multiple folders or if restructuring is feasible, consider reorganizing your S3 bucket's folder structure to avoid naming conflicts.

By addressing the duplicate object key issue, you should be able to successfully migrate all files and folders from the source bucket to the destination bucket using AWS DataSync or an alternative migration tool.

Hope this helps!

AWS
answered 2 days ago

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