```
KEY:
storage_class  define object level redundancy

ARGS:
standard  (string)    set the parity count for default standard storage class e.g. "EC:4"
rrs       (string)    set the parity count for reduced redundancy storage class e.g. "EC:2"
comment   (sentence)  optionally add a comment to this setting
```

or environment variables

```
KEY:

        System.out.println("my-bucketname is created successfully");
      }

      boolean isVersioningEnabled =
          minioClient.isVersioningEnabled(
              IsVersioningEnabledArgs.builder().bucket("my-bucketname").build());
      if (isVersioningEnabled) {
        System.out.println("Bucket versioning is enabled");
      } else {
        System.out.println("Bucket versioning is disabled");

scala> counts.saveAsTextFile("s3a://testbucket/wordcount")
```

Use one of the following approaches to view job output:

View output in the Scala shell:

```
scala> counts.count()
364
```

To view the output from MinIO exit the Scala shell. View WordCount job status:

```
hadoop fs -ls s3a://testbucket/wordcount
```

The output should be similar to the following:

- Supports source and destination buckets to have the same name unlike AWS S3, addresses variety of usecases such as *Splunk*, *Veeam* site to site DR.
- Supports object locking/retention across source and destination buckets natively out of the box, unlike AWS S3.