Command Line Interface
Ozone shell is the primary interface to interact with Ozone from the command line. Behind the scenes it uses the Java API.
There are some functionality which couldn’t be accessed without using ozone sh
commands. For example:
- Creating volumes with quota
- Managing internal ACLs
- Creating buckets with encryption key
All of these are one-time, administration tasks. Applications can use Ozone without this CLI using other interface like Hadoop Compatible File System (o3fs or ofs) or S3 interface.
Ozone shell help can be invoked at object level or at action level.
For example:
ozone sh volume --help
will show all possible actions for volumes.
Or it can be invoked to explain a specific action like:
ozone sh volume create --help
which will print the command line options of the create
command for volumes.
General Command Format
Ozone shell commands take the following form:
ozone sh object action url
ozone script is used to invoke all Ozone sub-commands. The ozone shell is invoked via sh
command.
Object can be volume, bucket or key. Actions are various verbs like create, list, delete etc.
Depending on the action, Ozone URL can point to a volume, bucket or key in the following format:
[schema][server:port]/volume/bucket/key
Where,
Schema - This should be
o3
which is the native RPC protocol to access Ozone API. The usage of the schema is optional.Server:Port - This is the address of the Ozone Manager. If the port is omitted the default port from ozone-site.xml will be used.
Please see volume commands, bucket commands, and key commands section for more detail.
Volume operations
Volume is the top level element of the hierarchy, managed only by administrators. Optionally, quota and the owner user can be specified.
Example commands:
$ ozone sh volume create /vol1
$ ozone sh volume info /vol1
{
"metadata" : { },
"name" : "vol1",
"admin" : "hadoop",
"owner" : "hadoop",
"creationTime" : "2020-07-28T12:31:50.112Z",
"modificationTime" : "2020-07-28T12:31:50.112Z",
"acls" : [ {
"type" : "USER",
"name" : "hadoop",
"aclScope" : "ACCESS",
"aclList" : [ "ALL" ]
}, {
"type" : "GROUP",
"name" : "users",
"aclScope" : "ACCESS",
"aclList" : [ "ALL" ]
} ],
"quota" : 1152921504606846976
}
$ ozone sh volume list /
{
"metadata" : { },
"name" : "s3v",
"admin" : "hadoop",
"owner" : "hadoop",
"creationTime" : "2020-07-27T11:32:22.314Z",
"modificationTime" : "2020-07-27T11:32:22.314Z",
"acls" : [ {
"type" : "USER",
"name" : "hadoop",
"aclScope" : "ACCESS",
"aclList" : [ "ALL" ]
}, {
"type" : "GROUP",
"name" : "users",
"aclScope" : "ACCESS",
"aclList" : [ "ALL" ]
} ],
"quota" : 1152921504606846976
}
....
Bucket operations
Bucket is the second level of the object hierarchy, and is similar to AWS S3 buckets. Users can create buckets in volumes, if they have the necessary permissions.
Command examples:
$ ozone sh bucket create /vol1/bucket1
```shell
```shell
$ ozone sh bucket info /vol1/bucket1
{
"metadata" : { },
"volumeName" : "vol1",
"name" : "bucket1",
"storageType" : "DISK",
"versioning" : false,
"creationTime" : "2020-07-28T13:14:45.091Z",
"modificationTime" : "2020-07-28T13:14:45.091Z",
"encryptionKeyName" : null,
"sourceVolume" : null,
"sourceBucket" : null
}
Transparent Data Encryption can be enabled at the bucket level.
Key operations
Key is the object which can store the data.
$ ozone sh key put /vol1/bucket1/README.md README.md
In this case the standard ozone sh <object_type> <action> <url>
scheme may be a bit confusing at first, as it results in the syntax ozone sh key put <destination> <source>
instead of the arguably more natural order of <source> <destination>
.
$ ozone sh key info /vol1/bucket1/README.md
{
"volumeName" : "vol1",
"bucketName" : "bucket1",
"name" : "README.md",
"dataSize" : 3841,
"creationTime" : "2020-07-28T13:17:20.749Z",
"modificationTime" : "2020-07-28T13:17:21.979Z",
"replicationType" : "RATIS",
"replicationFactor" : 1,
"ozoneKeyLocations" : [ {
"containerID" : 1,
"localID" : 104591670688743424,
"length" : 3841,
"offset" : 0
} ],
"metadata" : { },
"fileEncryptionInfo" : null
}
$ ozone sh key get /vol1/bucket1/README.md /tmp/