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The Amazon Redshift data source in Databricks seems to be using S3 for storing intermediate results. Are there any ways to automatically cleanup temporary files created in S3
You could use storage lifecycle policy for the s3 bucket used for storing intermediate results and configure expiration actions. This way temporary/intermediate results would be automatically cleaned up
You could use storage lifecycle policy for the s3 bucket used for storing intermediate results and configure expiration actions. This way temporary/intermediate results would be automatically cleaned up
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