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NAME
gcloud workbench executions create - create a Workbench execution
SYNOPSIS
gcloud workbench executions create --region=REGION
(--display-name=DISPLAY_NAME --gcs-output-uri=GCS_OUTPUT_URI
--service-account=SERVICE_ACCOUNT (--direct-content=DIRECT_CONTENT
| [--gcs-notebook-uri=GCS_NOTEBOOK_URI : --generation=GENERATION])
: --execution-timeout=EXECUTION_TIMEOUT; default="24h"
--kernel-name=KERNEL_NAME; default="python3"
--accelerator-count=ACCELERATOR_COUNT
--accelerator-type=ACCELERATOR_TYPE --machine-type=MACHINE_TYPE;
default="e2-standard-4" --disk-size-gb=DISK_SIZE_GB; default=100
--disk-type=DISK_TYPE; default="PD_STANDARD"
--no-enable-internet-access
--network=NETWORK [--subnetwork=SUBNETWORK
: --subnetwork-region=SUBNETWORK_REGION] [--kms-key=KMS_KEY
: --kms-keyring=KMS_KEYRING
--kms-location=KMS_LOCATION --kms-project=KMS_PROJECT]) [--async]
[GCLOUD_WIDE_FLAG ...]
DESCRIPTION
Create a Workbench notebook execution.
EXAMPLES
To create an execution of a notebook file with Cloud Storage URI
gs://my-bucket/my-notebook.ipynb, with an execution job display name
my-execution, running with service account
my-service-account@my-project.iam.gserviceaccount.com, with results
uploaded to Cloud Storage bucket gs://my-bucket/results, and in region
us-central1, with a compute configuration of n1-standard-4 machine type:
$ gcloud workbench executions create --display-name=my-execution \
--gcs-notebook-uri=gs://my-bucket/my-notebook.ipynb \
--service-account=my-service-account@my-project.iam.gserviceacco\
unt.com --gcs-output-uri=gs://my-bucket/results \
--region=us-central1 --machine-type=n1-standard-4
REQUIRED FLAGS
Region resource - Cloud region to create. This represents a Cloud
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 --region 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.
--region=REGION
ID of the region or fully qualified identifier for the region.
To set the region attribute:
▸ provide the argument --region on the command line.
Configuration of the execution job.
This must be specified.
--display-name=DISPLAY_NAME
The display name of the execution.
This flag argument must be specified if any of the other arguments in
this group are specified.
--gcs-output-uri=GCS_OUTPUT_URI
The Cloud Storage location to upload notebook execution results to.
Format: gs://bucket-name.
This flag argument must be specified if any of the other arguments in
this group are specified.
--service-account=SERVICE_ACCOUNT
The service account to run the execution as
This flag argument must be specified if any of the other arguments in
this group are specified.
--execution-timeout=EXECUTION_TIMEOUT; default="24h"
The max running time of the execution job, as a duration. See '$
gcloud topic datetimes' for details on formatting the input duration.
--kernel-name=KERNEL_NAME; default="python3"
The kernel name to use for the execution.
Source of the notebook to execute.
Exactly one of these must be specified:
--direct-content=DIRECT_CONTENT
The direct notebook content as IPYNB. This can be a local filepath
to an .ipynb file or can be set to - to read content from stdin.
Or at least one of these can be specified:
The Cloud Storage notebook source.
--gcs-notebook-uri=GCS_NOTEBOOK_URI
The Cloud Storage uri pointing to the notebook. Format:
gs://bucket/notebook_file.ipynb
This flag argument must be specified if any of the other
arguments in this group are specified.
--generation=GENERATION
The version of the Cloud Storage object to read. If unset, the
current version of the object will be used.
Compute configuration of the execution job.
The machine configuration of the runtime.
--accelerator-count=ACCELERATOR_COUNT
The number of accelerators used by the runtime.
--accelerator-type=ACCELERATOR_TYPE
The type of hardware accelerator used by the runtime. If specified,
--accelerator-count must also be specified. ACCELERATOR_TYPE must be
one of: NVIDIA_TESLA_V100, NVIDIA_TESLA_T4, NVIDIA_TESLA_A100,
NVIDIA_A100_80GB, NVIDIA_L4.
--machine-type=MACHINE_TYPE; default="e2-standard-4"
The Compute Engine machine type selected for the runtime.
The configuration for the data disk of the runtime.
--disk-size-gb=DISK_SIZE_GB; default=100
The disk size of the runtime in GB. If specified, the --disk-type
must also be specified. The minimum size is 10GB and the maximum is
65536GB.
--disk-type=DISK_TYPE; default="PD_STANDARD"
The type of the persistent disk. DISK_TYPE must be one of:
PD_STANDARD, PD_SSD, PD_BALANCED, PD_EXTREME.
The network configuration for the runtime.
--enable-internet-access
Enable public internet access for the runtime. Enabled by default,
use --no-enable-internet-access to disable.
Network resource - The name of the VPC that this runtime is in. This
represents a Cloud 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 --network on the command line with a fully
specified name;
▸ provide the argument --project on the command line;
▸ set the property core/project.
--network=NETWORK
ID of the network or fully qualified identifier for the network.
To set the network attribute:
▸ provide the argument --network on the command line.
Subnetwork resource - The name of the subnetwork that this runtime is
in. 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 --subnetwork on the command line with a fully
specified name;
▸ provide the argument --project on the command line;
▸ set the property core/project.
--subnetwork=SUBNETWORK
ID of the subnetwork or fully qualified identifier for the
subnetwork.
To set the subnetwork attribute:
▸ provide the argument --subnetwork on the command line.
This flag argument must be specified if any of the other arguments in
this group are specified.
--subnetwork-region=SUBNETWORK_REGION
Google Cloud region of this subnetwork
https://cloud.google.com/compute/docs/regions-zones/#locations.
To set the subnetwork-region attribute:
▸ provide the argument --subnetwork on the command line with a
fully specified name;
▸ provide the argument --subnetwork-region on the command line.
Key resource - The Cloud KMS encryption key (customer-managed encryption
key) used to protect the execution. The key must be in the same region
as the execution. If not specified, Google-managed encryption will be
used. The arguments in this group can be used to specify the attributes
of this resource.
--kms-key=KMS_KEY
ID of the key or fully qualified identifier for the key.
To set the kms-key attribute:
▸ provide the argument --kms-key on the command line.
This flag argument must be specified if any of the other arguments in
this group are specified.
--kms-keyring=KMS_KEYRING
KMS keyring id of the key.
To set the kms-keyring attribute:
▸ provide the argument --kms-key on the command line with a fully
specified name;
▸ provide the argument --kms-keyring on the command line.
--kms-location=KMS_LOCATION
Cloud location for the key.
To set the kms-location attribute:
▸ provide the argument --kms-key on the command line with a fully
specified name;
▸ provide the argument --kms-location on the command line.
--kms-project=KMS_PROJECT
Cloud project id for the key.
To set the kms-project attribute:
▸ provide the argument --kms-key on the command line with a fully
specified name;
▸ provide the argument --kms-project on the command line.
OPTIONAL FLAGS
--async
Return immediately, without waiting for the operation in progress to
complete.
GCLOUD WIDE FLAGS
These flags are available to all commands: --access-token-file, --account,
--billing-project, --configuration, --flags-file, --flatten, --format,
--help, --impersonate-service-account, --log-http, --project, --quiet,
--trace-token, --user-output-enabled, --verbosity.
Run $ gcloud help for details.
NOTES
This variant is also available:
$ gcloud beta workbench executions create