gcloud beta dataproc sessions create spark

gcloud beta dataproc sessions create spark - create a Spark session

gcloud beta dataproc sessions create spark (SESSION : --location=LOCATION) [--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 …]

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

Session resource - ID of the session to create. The arguments in this group can be used to specify the attributes of this resource. (NOTE) Some attributes are not given arguments in this group but can be set in other ways.

To set the project attribute:

• provide the argument session on the command line with a fully specified name;
• provide the argument --project on the command line;
• set the property core/project.

This must be specified.

SESSION

ID of the session or fully qualified identifier for the session.

To set the session attribute:

• provide the argument session on the command line.

This positional argument must be specified if any of the other arguments in this group are specified.

--location=LOCATION

Dataproc location for the session. Each Dataproc location constitutes an independent resource namespace constrained to deploying instances into Compute Engine zones inside the location. Overrides the default dataproc/location property value for this command invocation.

To set the location attribute:

• provide the argument session on the command line with a fully specified name;
• provide the argument --location on the command line;
• set the property dataproc/location.

--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 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 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.

Run $ gcloud help for details.