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] [--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. --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.