[SOLVED] How to hard delete objects older than n-days in LakeFS?

How to hard delete objects older than n-days in LakeFS?

How to find and hard delete objects older than n-days in LakeFS? Later it'll be a scheduled job.

Solution

To do that you should use the Garbage Collection (GC) feature in lakeFS.

Note: This feature cleans objects from the storage only after they are deleted from your branches in lakeFS.

You will need to:

Define GC rules to set your desired retention period.

From the lakeFS UI, go to the repository you would like to hard delete objects from -> Settings -> Retention, and define the GC rule for each branch under the repository. For example -
```
{
    "default_retention_days": 21,
    "branches": [
        {"branch_id": "main", "retention_days": 28},
        {"branch_id": "dev", "retention_days": 7}
    ]
}
```

Run the GC Spark job that does the actual cleanup, with -

spark-submit --class io.treeverse.clients.GarbageCollector \
  -c spark.hadoop.lakefs.api.url=https://lakefs.example.com:8000/api/v1  \
  -c spark.hadoop.lakefs.api.access_key=<LAKEFS_ACCESS_KEY> \
  -c spark.hadoop.lakefs.api.secret_key=<LAKEFS_SECRET_KEY> \
  -c spark.hadoop.fs.s3a.access.key=<S3_ACCESS_KEY> \
  -c spark.hadoop.fs.s3a.secret.key=<S3_SECRET_KEY> \
  --packages io.lakefs:lakefs-spark-client-301_2.12:0.5.0 \
  example-repo us-east-1