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Spark/Hadoop workloads which use Hadoop MR Committer v1/v2 algorithm upload objects to a temporary prefix in a bucket. These objects are 'renamed' to a different prefix on Job commit. Object storage admins are forced to configure separate ILM policies to expire these objects and their versions to reclaim space. Our solution: This can be avoided by simply marking objects under these prefixes to be excluded from versioning, as shown below. Consequently, these objects are excluded from replication, and don't require ILM policies to prune unnecessary versions. - MinIO Extension to Bucket Version Configuration ```xml <VersioningConfiguration xmlns="http://s3.amazonaws.com/doc/2006-03-01/"> <Status>Enabled</Status> <ExcludeFolders>true</ExcludeFolders> <ExcludedPrefixes> <Prefix>app1-jobs/*/_temporary/</Prefix> </ExcludedPrefixes> <ExcludedPrefixes> <Prefix>app2-jobs/*/__magic/</Prefix> </ExcludedPrefixes> <!-- .. up to 10 prefixes in all --> </VersioningConfiguration> ``` Note: `ExcludeFolders` excludes all folders in a bucket from versioning. This is required to prevent the parent folders from accumulating delete markers, especially those which are shared across spark workloads spanning projects/teams. - To enable version exclusion on a list of prefixes ``` mc version enable --excluded-prefixes "app1-jobs/*/_temporary/,app2-jobs/*/_magic," --exclude-prefix-marker myminio/test ``` |
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