NAME
    gcloud beta dataproc sessions create - create a Dataproc session

SYNOPSIS
    gcloud beta dataproc sessions create COMMAND [--async]
        [--container-image=CONTAINER_IMAGE]
        [--history-server-cluster=HISTORY_SERVER_CLUSTER] [--kernel=KERNEL]
        [--kms-key=KMS_KEY] [--labels=[KEY=VALUE,...]] [--max-idle=MAX_IDLE]
        [--metastore-service=METASTORE_SERVICE]
        [--property=[PROPERTY=VALUE,...]] [--request-id=REQUEST_ID]
        [--service-account=SERVICE_ACCOUNT]
        [--session_template=SESSION_TEMPLATE] [--staging-bucket=STAGING_BUCKET]
        [--tags=[TAGS,...]] [--ttl=TTL]
        [--user-workload-authentication-type=USER_WORKLOAD_AUTHENTICATION_TYPE]
        [--version=VERSION] [--network=NETWORK | --subnet=SUBNET]
        [GCLOUD_WIDE_FLAG ...]

DESCRIPTION
    (BETA) Create various sessions, such as Spark.

EXAMPLES
    To create a Spark session, run:

        $ gcloud beta dataproc sessions create spark my-session \
            --location='us-central1'

FLAGS
     --async
        Return immediately without waiting for the operation in progress to
        complete.

     --container-image=CONTAINER_IMAGE
        Optional custom container image to use for the batch/session runtime
        environment. If not specified, a default container image will be used.
        The value should follow the container image naming format:
        {registry}/{repository}/{name}:{tag}, for example,
        gcr.io/my-project/my-image:1.2.3

     --history-server-cluster=HISTORY_SERVER_CLUSTER
        Spark History Server configuration for the batch/session job. Resource
        name of an existing Dataproc cluster to act as a Spark History Server
        for the workload in the format:
        "projects/{project_id}/regions/{region}/clusters/{cluster_name}".

     --kernel=KERNEL
        Jupyter kernel type. The value could be "python" or "scala". KERNEL
        must be one of: python, scala.

     --kms-key=KMS_KEY
        Cloud KMS key to use for encryption.

     --labels=[KEY=VALUE,...]
        List of label KEY=VALUE pairs to add.

        Keys must start with a lowercase character and contain only hyphens
        (-), underscores (_), lowercase characters, and numbers. Values must
        contain only hyphens (-), underscores (_), lowercase characters, and
        numbers.

     --max-idle=MAX_IDLE
        The duration after which an idle session will be automatically
        terminated, for example, "20m" or "2h". A session is considered idle if
        it has no active Spark applications and no active Jupyter kernels. Run
        gcloud topic datetimes
        (https://cloud.google.com/sdk/gcloud/reference/topic/datetimes) for
        information on duration formats.

     --metastore-service=METASTORE_SERVICE
        Name of a Dataproc Metastore service to be used as an external
        metastore in the format:
        "projects/{project-id}/locations/{region}/services/{service-name}".

     --property=[PROPERTY=VALUE,...]
        Specifies configuration properties.

     --request-id=REQUEST_ID
        A unique ID that identifies the request. If the service receives two
        session create requests with the same request_id, the second request is
        ignored and the operation that corresponds to the first session created
        and stored in the backend is returned. Recommendation: Always set this
        value to a UUID. The value must contain only letters (a-z, A-Z),
        numbers (0-9), underscores (), and hyphens (-). The maximum length is
        40 characters.

     --service-account=SERVICE_ACCOUNT
        The IAM service account to be used for a batch/session job.

     --session_template=SESSION_TEMPLATE
        The session template to use for creating the session.

     --staging-bucket=STAGING_BUCKET
        The Cloud Storage bucket to use to store job dependencies, config
        files, and job driver console output. If not specified, the default
        [staging bucket]
        (https://cloud.google.com/dataproc-serverless/docs/concepts/buckets) is
        used.

     --tags=[TAGS,...]
        Network tags for traffic control.

     --ttl=TTL
        The duration after the workload will be unconditionally terminated, for
        example, '20m' or '1h'. Run gcloud topic datetimes
        (https://cloud.google.com/sdk/gcloud/reference/topic/datetimes) for
        information on duration formats.

     --user-workload-authentication-type=USER_WORKLOAD_AUTHENTICATION_TYPE
        Whether to use END_USER_CREDENTIALS or SERVICE_ACCOUNT to run the
        workload.

     --version=VERSION
        Optional runtime version. If not specified, a default version will be
        used.

     At most one of these can be specified:

       --network=NETWORK
          Network URI to connect network to.

       --subnet=SUBNET
          Subnetwork URI to connect network to. Subnet must have Private Google
          Access enabled.

GCLOUD WIDE FLAGS
    These flags are available to all commands: --help.

    Run $ gcloud help for details.

COMMANDS
    COMMAND is one of the following:

     spark
        (BETA) Create a Spark session.

NOTES
    This command is currently in beta and might change without notice.

