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Google Cloud v8.22.0 published on Thursday, Mar 13, 2025 by Pulumi
gcp.colab.Schedule
Explore with Pulumi AI
‘Colab Enterprise Notebook Execution Schedules.’
To get more information about Schedule, see:
- API documentation
- How-to Guides
Example Usage
Colab Schedule Basic
import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const myRuntimeTemplate = new gcp.colab.RuntimeTemplate("my_runtime_template", {
name: "runtime-template",
displayName: "Runtime template",
location: "us-central1",
machineSpec: {
machineType: "e2-standard-4",
},
networkSpec: {
enableInternetAccess: true,
},
});
const outputBucket = new gcp.storage.Bucket("output_bucket", {
name: "my_bucket",
location: "US",
forceDestroy: true,
uniformBucketLevelAccess: true,
});
const notebook = new gcp.storage.BucketObject("notebook", {
name: "hello_world.ipynb",
bucket: outputBucket.name,
content: ` {
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"print(\\"Hello, World!\\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
`,
});
const schedule = new gcp.colab.Schedule("schedule", {
displayName: "basic-schedule",
location: "us-west1",
maxConcurrentRunCount: "2",
cron: "TZ=America/Los_Angeles * * * * *",
createNotebookExecutionJobRequest: {
notebookExecutionJob: {
displayName: "Notebook execution",
gcsNotebookSource: {
uri: pulumi.interpolate`gs://${notebook.bucket}/${notebook.name}`,
generation: notebook.generation,
},
notebookRuntimeTemplateResourceName: pulumi.interpolate`projects/${myRuntimeTemplate.project}/locations/${myRuntimeTemplate.location}/notebookRuntimeTemplates/${myRuntimeTemplate.name}`,
gcsOutputUri: pulumi.interpolate`gs://${outputBucket.name}`,
serviceAccount: "my@service-account.com",
},
},
}, {
dependsOn: [
myRuntimeTemplate,
outputBucket,
],
});
import pulumi
import pulumi_gcp as gcp
my_runtime_template = gcp.colab.RuntimeTemplate("my_runtime_template",
name="runtime-template",
display_name="Runtime template",
location="us-central1",
machine_spec={
"machine_type": "e2-standard-4",
},
network_spec={
"enable_internet_access": True,
})
output_bucket = gcp.storage.Bucket("output_bucket",
name="my_bucket",
location="US",
force_destroy=True,
uniform_bucket_level_access=True)
notebook = gcp.storage.BucketObject("notebook",
name="hello_world.ipynb",
bucket=output_bucket.name,
content=""" {
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"print(\"Hello, World!\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
""")
schedule = gcp.colab.Schedule("schedule",
display_name="basic-schedule",
location="us-west1",
max_concurrent_run_count="2",
cron="TZ=America/Los_Angeles * * * * *",
create_notebook_execution_job_request={
"notebook_execution_job": {
"display_name": "Notebook execution",
"gcs_notebook_source": {
"uri": pulumi.Output.all(
bucket=notebook.bucket,
name=notebook.name
).apply(lambda resolved_outputs: f"gs://{resolved_outputs['bucket']}/{resolved_outputs['name']}")
,
"generation": notebook.generation,
},
"notebook_runtime_template_resource_name": pulumi.Output.all(
project=my_runtime_template.project,
location=my_runtime_template.location,
name=my_runtime_template.name
).apply(lambda resolved_outputs: f"projects/{resolved_outputs['project']}/locations/{resolved_outputs['location']}/notebookRuntimeTemplates/{resolved_outputs['name']}")
,
"gcs_output_uri": output_bucket.name.apply(lambda name: f"gs://{name}"),
"service_account": "my@service-account.com",
},
},
opts = pulumi.ResourceOptions(depends_on=[
my_runtime_template,
output_bucket,
]))
package main
import (
"fmt"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/colab"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/storage"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
myRuntimeTemplate, err := colab.NewRuntimeTemplate(ctx, "my_runtime_template", &colab.RuntimeTemplateArgs{
Name: pulumi.String("runtime-template"),
DisplayName: pulumi.String("Runtime template"),
Location: pulumi.String("us-central1"),
MachineSpec: &colab.RuntimeTemplateMachineSpecArgs{
MachineType: pulumi.String("e2-standard-4"),
},
NetworkSpec: &colab.RuntimeTemplateNetworkSpecArgs{
EnableInternetAccess: pulumi.Bool(true),
},
})
if err != nil {
return err
}
outputBucket, err := storage.NewBucket(ctx, "output_bucket", &storage.BucketArgs{
Name: pulumi.String("my_bucket"),
Location: pulumi.String("US"),
ForceDestroy: pulumi.Bool(true),
UniformBucketLevelAccess: pulumi.Bool(true),
})
if err != nil {
return err
}
notebook, err := storage.NewBucketObject(ctx, "notebook", &storage.BucketObjectArgs{
Name: pulumi.String("hello_world.ipynb"),
Bucket: outputBucket.Name,
Content: pulumi.String(` {
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"print(\"Hello, World!\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
`),
})
if err != nil {
return err
}
_, err = colab.NewSchedule(ctx, "schedule", &colab.ScheduleArgs{
DisplayName: pulumi.String("basic-schedule"),
Location: pulumi.String("us-west1"),
MaxConcurrentRunCount: pulumi.String("2"),
Cron: pulumi.String("TZ=America/Los_Angeles * * * * *"),
CreateNotebookExecutionJobRequest: &colab.ScheduleCreateNotebookExecutionJobRequestArgs{
NotebookExecutionJob: &colab.ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobArgs{
DisplayName: pulumi.String("Notebook execution"),
GcsNotebookSource: &colab.ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobGcsNotebookSourceArgs{
Uri: pulumi.All(notebook.Bucket, notebook.Name).ApplyT(func(_args []interface{}) (string, error) {
bucket := _args[0].(string)
name := _args[1].(string)
return fmt.Sprintf("gs://%v/%v", bucket, name), nil
}).(pulumi.StringOutput),
Generation: notebook.Generation,
},
NotebookRuntimeTemplateResourceName: pulumi.All(myRuntimeTemplate.Project, myRuntimeTemplate.Location, myRuntimeTemplate.Name).ApplyT(func(_args []interface{}) (string, error) {
project := _args[0].(string)
location := _args[1].(string)
name := _args[2].(string)
return fmt.Sprintf("projects/%v/locations/%v/notebookRuntimeTemplates/%v", project, location, name), nil
}).(pulumi.StringOutput),
GcsOutputUri: outputBucket.Name.ApplyT(func(name string) (string, error) {
return fmt.Sprintf("gs://%v", name), nil
}).(pulumi.StringOutput),
ServiceAccount: pulumi.String("my@service-account.com"),
},
},
}, pulumi.DependsOn([]pulumi.Resource{
myRuntimeTemplate,
outputBucket,
}))
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;
return await Deployment.RunAsync(() =>
{
var myRuntimeTemplate = new Gcp.Colab.RuntimeTemplate("my_runtime_template", new()
{
Name = "runtime-template",
DisplayName = "Runtime template",
Location = "us-central1",
MachineSpec = new Gcp.Colab.Inputs.RuntimeTemplateMachineSpecArgs
{
MachineType = "e2-standard-4",
},
NetworkSpec = new Gcp.Colab.Inputs.RuntimeTemplateNetworkSpecArgs
{
EnableInternetAccess = true,
},
});
var outputBucket = new Gcp.Storage.Bucket("output_bucket", new()
{
Name = "my_bucket",
Location = "US",
ForceDestroy = true,
UniformBucketLevelAccess = true,
});
var notebook = new Gcp.Storage.BucketObject("notebook", new()
{
Name = "hello_world.ipynb",
Bucket = outputBucket.Name,
Content = @" {
""cells"": [
{
""cell_type"": ""code"",
""execution_count"": null,
""metadata"": {},
""outputs"": [],
""source"": [
""print(\""Hello, World!\"")""
]
}
],
""metadata"": {
""kernelspec"": {
""display_name"": ""Python 3"",
""language"": ""python"",
""name"": ""python3""
},
""language_info"": {
""codemirror_mode"": {
""name"": ""ipython"",
""version"": 3
},
""file_extension"": "".py"",
""mimetype"": ""text/x-python"",
""name"": ""python"",
""nbconvert_exporter"": ""python"",
""pygments_lexer"": ""ipython3"",
""version"": ""3.8.5""
}
},
""nbformat"": 4,
""nbformat_minor"": 4
}
",
});
var schedule = new Gcp.Colab.Schedule("schedule", new()
{
DisplayName = "basic-schedule",
Location = "us-west1",
MaxConcurrentRunCount = "2",
Cron = "TZ=America/Los_Angeles * * * * *",
CreateNotebookExecutionJobRequest = new Gcp.Colab.Inputs.ScheduleCreateNotebookExecutionJobRequestArgs
{
NotebookExecutionJob = new Gcp.Colab.Inputs.ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobArgs
{
DisplayName = "Notebook execution",
GcsNotebookSource = new Gcp.Colab.Inputs.ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobGcsNotebookSourceArgs
{
Uri = Output.Tuple(notebook.Bucket, notebook.Name).Apply(values =>
{
var bucket = values.Item1;
var name = values.Item2;
return $"gs://{bucket}/{name}";
}),
Generation = notebook.Generation,
},
NotebookRuntimeTemplateResourceName = Output.Tuple(myRuntimeTemplate.Project, myRuntimeTemplate.Location, myRuntimeTemplate.Name).Apply(values =>
{
var project = values.Item1;
var location = values.Item2;
var name = values.Item3;
return $"projects/{project}/locations/{location}/notebookRuntimeTemplates/{name}";
}),
GcsOutputUri = outputBucket.Name.Apply(name => $"gs://{name}"),
ServiceAccount = "my@service-account.com",
},
},
}, new CustomResourceOptions
{
DependsOn =
{
myRuntimeTemplate,
outputBucket,
},
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.colab.RuntimeTemplate;
import com.pulumi.gcp.colab.RuntimeTemplateArgs;
import com.pulumi.gcp.colab.inputs.RuntimeTemplateMachineSpecArgs;
import com.pulumi.gcp.colab.inputs.RuntimeTemplateNetworkSpecArgs;
import com.pulumi.gcp.storage.Bucket;
import com.pulumi.gcp.storage.BucketArgs;
import com.pulumi.gcp.storage.BucketObject;
import com.pulumi.gcp.storage.BucketObjectArgs;
import com.pulumi.gcp.colab.Schedule;
import com.pulumi.gcp.colab.ScheduleArgs;
import com.pulumi.gcp.colab.inputs.ScheduleCreateNotebookExecutionJobRequestArgs;
import com.pulumi.gcp.colab.inputs.ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobArgs;
import com.pulumi.gcp.colab.inputs.ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobGcsNotebookSourceArgs;
import com.pulumi.resources.CustomResourceOptions;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var myRuntimeTemplate = new RuntimeTemplate("myRuntimeTemplate", RuntimeTemplateArgs.builder()
.name("runtime-template")
.displayName("Runtime template")
.location("us-central1")
.machineSpec(RuntimeTemplateMachineSpecArgs.builder()
.machineType("e2-standard-4")
.build())
.networkSpec(RuntimeTemplateNetworkSpecArgs.builder()
.enableInternetAccess(true)
.build())
.build());
var outputBucket = new Bucket("outputBucket", BucketArgs.builder()
.name("my_bucket")
.location("US")
.forceDestroy(true)
.uniformBucketLevelAccess(true)
.build());
var notebook = new BucketObject("notebook", BucketObjectArgs.builder()
.name("hello_world.ipynb")
.bucket(outputBucket.name())
.content("""
{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"print(\"Hello, World!\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
""")
.build());
var schedule = new Schedule("schedule", ScheduleArgs.builder()
.displayName("basic-schedule")
.location("us-west1")
.maxConcurrentRunCount(2)
.cron("TZ=America/Los_Angeles * * * * *")
.createNotebookExecutionJobRequest(ScheduleCreateNotebookExecutionJobRequestArgs.builder()
.notebookExecutionJob(ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobArgs.builder()
.displayName("Notebook execution")
.gcsNotebookSource(ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobGcsNotebookSourceArgs.builder()
.uri(Output.tuple(notebook.bucket(), notebook.name()).applyValue(values -> {
var bucket = values.t1;
var name = values.t2;
return String.format("gs://%s/%s", bucket,name);
}))
.generation(notebook.generation())
.build())
.notebookRuntimeTemplateResourceName(Output.tuple(myRuntimeTemplate.project(), myRuntimeTemplate.location(), myRuntimeTemplate.name()).applyValue(values -> {
var project = values.t1;
var location = values.t2;
var name = values.t3;
return String.format("projects/%s/locations/%s/notebookRuntimeTemplates/%s", project,location,name);
}))
.gcsOutputUri(outputBucket.name().applyValue(name -> String.format("gs://%s", name)))
.serviceAccount("my@service-account.com")
.build())
.build())
.build(), CustomResourceOptions.builder()
.dependsOn(
myRuntimeTemplate,
outputBucket)
.build());
}
}
resources:
myRuntimeTemplate:
type: gcp:colab:RuntimeTemplate
name: my_runtime_template
properties:
name: runtime-template
displayName: Runtime template
location: us-central1
machineSpec:
machineType: e2-standard-4
networkSpec:
enableInternetAccess: true
outputBucket:
type: gcp:storage:Bucket
name: output_bucket
properties:
name: my_bucket
location: US
forceDestroy: true
uniformBucketLevelAccess: true
notebook:
type: gcp:storage:BucketObject
properties:
name: hello_world.ipynb
bucket: ${outputBucket.name}
content: |2
{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"print(\"Hello, World!\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
schedule:
type: gcp:colab:Schedule
properties:
displayName: basic-schedule
location: us-west1
maxConcurrentRunCount: 2
cron: TZ=America/Los_Angeles * * * * *
createNotebookExecutionJobRequest:
notebookExecutionJob:
displayName: Notebook execution
gcsNotebookSource:
uri: gs://${notebook.bucket}/${notebook.name}
generation: ${notebook.generation}
notebookRuntimeTemplateResourceName: projects/${myRuntimeTemplate.project}/locations/${myRuntimeTemplate.location}/notebookRuntimeTemplates/${myRuntimeTemplate.name}
gcsOutputUri: gs://${outputBucket.name}
serviceAccount: my@service-account.com
options:
dependsOn:
- ${myRuntimeTemplate}
- ${outputBucket}
Colab Schedule Paused
import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const myRuntimeTemplate = new gcp.colab.RuntimeTemplate("my_runtime_template", {
name: "runtime-template",
displayName: "Runtime template",
location: "us-central1",
machineSpec: {
machineType: "e2-standard-4",
},
networkSpec: {
enableInternetAccess: true,
},
});
const outputBucket = new gcp.storage.Bucket("output_bucket", {
name: "my_bucket",
location: "US",
forceDestroy: true,
uniformBucketLevelAccess: true,
});
const notebook = new gcp.storage.BucketObject("notebook", {
name: "hello_world.ipynb",
bucket: outputBucket.name,
content: ` {
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"print(\\"Hello, World!\\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
`,
});
const schedule = new gcp.colab.Schedule("schedule", {
displayName: "paused-schedule",
location: "us-west1",
maxConcurrentRunCount: "2",
cron: "TZ=America/Los_Angeles * * * * *",
desiredState: "PAUSED",
createNotebookExecutionJobRequest: {
notebookExecutionJob: {
displayName: "Notebook execution",
gcsNotebookSource: {
uri: pulumi.interpolate`gs://${notebook.bucket}/${notebook.name}`,
generation: notebook.generation,
},
notebookRuntimeTemplateResourceName: pulumi.interpolate`projects/${myRuntimeTemplate.project}/locations/${myRuntimeTemplate.location}/notebookRuntimeTemplates/${myRuntimeTemplate.name}`,
gcsOutputUri: pulumi.interpolate`gs://${outputBucket.name}`,
serviceAccount: "my@service-account.com",
},
},
}, {
dependsOn: [
myRuntimeTemplate,
outputBucket,
],
});
import pulumi
import pulumi_gcp as gcp
my_runtime_template = gcp.colab.RuntimeTemplate("my_runtime_template",
name="runtime-template",
display_name="Runtime template",
location="us-central1",
machine_spec={
"machine_type": "e2-standard-4",
},
network_spec={
"enable_internet_access": True,
})
output_bucket = gcp.storage.Bucket("output_bucket",
name="my_bucket",
location="US",
force_destroy=True,
uniform_bucket_level_access=True)
notebook = gcp.storage.BucketObject("notebook",
name="hello_world.ipynb",
bucket=output_bucket.name,
content=""" {
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"print(\"Hello, World!\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
""")
schedule = gcp.colab.Schedule("schedule",
display_name="paused-schedule",
location="us-west1",
max_concurrent_run_count="2",
cron="TZ=America/Los_Angeles * * * * *",
desired_state="PAUSED",
create_notebook_execution_job_request={
"notebook_execution_job": {
"display_name": "Notebook execution",
"gcs_notebook_source": {
"uri": pulumi.Output.all(
bucket=notebook.bucket,
name=notebook.name
).apply(lambda resolved_outputs: f"gs://{resolved_outputs['bucket']}/{resolved_outputs['name']}")
,
"generation": notebook.generation,
},
"notebook_runtime_template_resource_name": pulumi.Output.all(
project=my_runtime_template.project,
location=my_runtime_template.location,
name=my_runtime_template.name
).apply(lambda resolved_outputs: f"projects/{resolved_outputs['project']}/locations/{resolved_outputs['location']}/notebookRuntimeTemplates/{resolved_outputs['name']}")
,
"gcs_output_uri": output_bucket.name.apply(lambda name: f"gs://{name}"),
"service_account": "my@service-account.com",
},
},
opts = pulumi.ResourceOptions(depends_on=[
my_runtime_template,
output_bucket,
]))
package main
import (
"fmt"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/colab"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/storage"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
myRuntimeTemplate, err := colab.NewRuntimeTemplate(ctx, "my_runtime_template", &colab.RuntimeTemplateArgs{
Name: pulumi.String("runtime-template"),
DisplayName: pulumi.String("Runtime template"),
Location: pulumi.String("us-central1"),
MachineSpec: &colab.RuntimeTemplateMachineSpecArgs{
MachineType: pulumi.String("e2-standard-4"),
},
NetworkSpec: &colab.RuntimeTemplateNetworkSpecArgs{
EnableInternetAccess: pulumi.Bool(true),
},
})
if err != nil {
return err
}
outputBucket, err := storage.NewBucket(ctx, "output_bucket", &storage.BucketArgs{
Name: pulumi.String("my_bucket"),
Location: pulumi.String("US"),
ForceDestroy: pulumi.Bool(true),
UniformBucketLevelAccess: pulumi.Bool(true),
})
if err != nil {
return err
}
notebook, err := storage.NewBucketObject(ctx, "notebook", &storage.BucketObjectArgs{
Name: pulumi.String("hello_world.ipynb"),
Bucket: outputBucket.Name,
Content: pulumi.String(` {
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"print(\"Hello, World!\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
`),
})
if err != nil {
return err
}
_, err = colab.NewSchedule(ctx, "schedule", &colab.ScheduleArgs{
DisplayName: pulumi.String("paused-schedule"),
Location: pulumi.String("us-west1"),
MaxConcurrentRunCount: pulumi.String("2"),
Cron: pulumi.String("TZ=America/Los_Angeles * * * * *"),
DesiredState: pulumi.String("PAUSED"),
CreateNotebookExecutionJobRequest: &colab.ScheduleCreateNotebookExecutionJobRequestArgs{
NotebookExecutionJob: &colab.ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobArgs{
DisplayName: pulumi.String("Notebook execution"),
GcsNotebookSource: &colab.ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobGcsNotebookSourceArgs{
Uri: pulumi.All(notebook.Bucket, notebook.Name).ApplyT(func(_args []interface{}) (string, error) {
bucket := _args[0].(string)
name := _args[1].(string)
return fmt.Sprintf("gs://%v/%v", bucket, name), nil
}).(pulumi.StringOutput),
Generation: notebook.Generation,
},
NotebookRuntimeTemplateResourceName: pulumi.All(myRuntimeTemplate.Project, myRuntimeTemplate.Location, myRuntimeTemplate.Name).ApplyT(func(_args []interface{}) (string, error) {
project := _args[0].(string)
location := _args[1].(string)
name := _args[2].(string)
return fmt.Sprintf("projects/%v/locations/%v/notebookRuntimeTemplates/%v", project, location, name), nil
}).(pulumi.StringOutput),
GcsOutputUri: outputBucket.Name.ApplyT(func(name string) (string, error) {
return fmt.Sprintf("gs://%v", name), nil
}).(pulumi.StringOutput),
ServiceAccount: pulumi.String("my@service-account.com"),
},
},
}, pulumi.DependsOn([]pulumi.Resource{
myRuntimeTemplate,
outputBucket,
}))
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;
return await Deployment.RunAsync(() =>
{
var myRuntimeTemplate = new Gcp.Colab.RuntimeTemplate("my_runtime_template", new()
{
Name = "runtime-template",
DisplayName = "Runtime template",
Location = "us-central1",
MachineSpec = new Gcp.Colab.Inputs.RuntimeTemplateMachineSpecArgs
{
MachineType = "e2-standard-4",
},
NetworkSpec = new Gcp.Colab.Inputs.RuntimeTemplateNetworkSpecArgs
{
EnableInternetAccess = true,
},
});
var outputBucket = new Gcp.Storage.Bucket("output_bucket", new()
{
Name = "my_bucket",
Location = "US",
ForceDestroy = true,
UniformBucketLevelAccess = true,
});
var notebook = new Gcp.Storage.BucketObject("notebook", new()
{
Name = "hello_world.ipynb",
Bucket = outputBucket.Name,
Content = @" {
""cells"": [
{
""cell_type"": ""code"",
""execution_count"": null,
""metadata"": {},
""outputs"": [],
""source"": [
""print(\""Hello, World!\"")""
]
}
],
""metadata"": {
""kernelspec"": {
""display_name"": ""Python 3"",
""language"": ""python"",
""name"": ""python3""
},
""language_info"": {
""codemirror_mode"": {
""name"": ""ipython"",
""version"": 3
},
""file_extension"": "".py"",
""mimetype"": ""text/x-python"",
""name"": ""python"",
""nbconvert_exporter"": ""python"",
""pygments_lexer"": ""ipython3"",
""version"": ""3.8.5""
}
},
""nbformat"": 4,
""nbformat_minor"": 4
}
",
});
var schedule = new Gcp.Colab.Schedule("schedule", new()
{
DisplayName = "paused-schedule",
Location = "us-west1",
MaxConcurrentRunCount = "2",
Cron = "TZ=America/Los_Angeles * * * * *",
DesiredState = "PAUSED",
CreateNotebookExecutionJobRequest = new Gcp.Colab.Inputs.ScheduleCreateNotebookExecutionJobRequestArgs
{
NotebookExecutionJob = new Gcp.Colab.Inputs.ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobArgs
{
DisplayName = "Notebook execution",
GcsNotebookSource = new Gcp.Colab.Inputs.ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobGcsNotebookSourceArgs
{
Uri = Output.Tuple(notebook.Bucket, notebook.Name).Apply(values =>
{
var bucket = values.Item1;
var name = values.Item2;
return $"gs://{bucket}/{name}";
}),
Generation = notebook.Generation,
},
NotebookRuntimeTemplateResourceName = Output.Tuple(myRuntimeTemplate.Project, myRuntimeTemplate.Location, myRuntimeTemplate.Name).Apply(values =>
{
var project = values.Item1;
var location = values.Item2;
var name = values.Item3;
return $"projects/{project}/locations/{location}/notebookRuntimeTemplates/{name}";
}),
GcsOutputUri = outputBucket.Name.Apply(name => $"gs://{name}"),
ServiceAccount = "my@service-account.com",
},
},
}, new CustomResourceOptions
{
DependsOn =
{
myRuntimeTemplate,
outputBucket,
},
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.colab.RuntimeTemplate;
import com.pulumi.gcp.colab.RuntimeTemplateArgs;
import com.pulumi.gcp.colab.inputs.RuntimeTemplateMachineSpecArgs;
import com.pulumi.gcp.colab.inputs.RuntimeTemplateNetworkSpecArgs;
import com.pulumi.gcp.storage.Bucket;
import com.pulumi.gcp.storage.BucketArgs;
import com.pulumi.gcp.storage.BucketObject;
import com.pulumi.gcp.storage.BucketObjectArgs;
import com.pulumi.gcp.colab.Schedule;
import com.pulumi.gcp.colab.ScheduleArgs;
import com.pulumi.gcp.colab.inputs.ScheduleCreateNotebookExecutionJobRequestArgs;
import com.pulumi.gcp.colab.inputs.ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobArgs;
import com.pulumi.gcp.colab.inputs.ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobGcsNotebookSourceArgs;
import com.pulumi.resources.CustomResourceOptions;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var myRuntimeTemplate = new RuntimeTemplate("myRuntimeTemplate", RuntimeTemplateArgs.builder()
.name("runtime-template")
.displayName("Runtime template")
.location("us-central1")
.machineSpec(RuntimeTemplateMachineSpecArgs.builder()
.machineType("e2-standard-4")
.build())
.networkSpec(RuntimeTemplateNetworkSpecArgs.builder()
.enableInternetAccess(true)
.build())
.build());
var outputBucket = new Bucket("outputBucket", BucketArgs.builder()
.name("my_bucket")
.location("US")
.forceDestroy(true)
.uniformBucketLevelAccess(true)
.build());
var notebook = new BucketObject("notebook", BucketObjectArgs.builder()
.name("hello_world.ipynb")
.bucket(outputBucket.name())
.content("""
{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"print(\"Hello, World!\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
""")
.build());
var schedule = new Schedule("schedule", ScheduleArgs.builder()
.displayName("paused-schedule")
.location("us-west1")
.maxConcurrentRunCount(2)
.cron("TZ=America/Los_Angeles * * * * *")
.desiredState("PAUSED")
.createNotebookExecutionJobRequest(ScheduleCreateNotebookExecutionJobRequestArgs.builder()
.notebookExecutionJob(ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobArgs.builder()
.displayName("Notebook execution")
.gcsNotebookSource(ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobGcsNotebookSourceArgs.builder()
.uri(Output.tuple(notebook.bucket(), notebook.name()).applyValue(values -> {
var bucket = values.t1;
var name = values.t2;
return String.format("gs://%s/%s", bucket,name);
}))
.generation(notebook.generation())
.build())
.notebookRuntimeTemplateResourceName(Output.tuple(myRuntimeTemplate.project(), myRuntimeTemplate.location(), myRuntimeTemplate.name()).applyValue(values -> {
var project = values.t1;
var location = values.t2;
var name = values.t3;
return String.format("projects/%s/locations/%s/notebookRuntimeTemplates/%s", project,location,name);
}))
.gcsOutputUri(outputBucket.name().applyValue(name -> String.format("gs://%s", name)))
.serviceAccount("my@service-account.com")
.build())
.build())
.build(), CustomResourceOptions.builder()
.dependsOn(
myRuntimeTemplate,
outputBucket)
.build());
}
}
resources:
myRuntimeTemplate:
type: gcp:colab:RuntimeTemplate
name: my_runtime_template
properties:
name: runtime-template
displayName: Runtime template
location: us-central1
machineSpec:
machineType: e2-standard-4
networkSpec:
enableInternetAccess: true
outputBucket:
type: gcp:storage:Bucket
name: output_bucket
properties:
name: my_bucket
location: US
forceDestroy: true
uniformBucketLevelAccess: true
notebook:
type: gcp:storage:BucketObject
properties:
name: hello_world.ipynb
bucket: ${outputBucket.name}
content: |2
{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"print(\"Hello, World!\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
schedule:
type: gcp:colab:Schedule
properties:
displayName: paused-schedule
location: us-west1
maxConcurrentRunCount: 2
cron: TZ=America/Los_Angeles * * * * *
desiredState: PAUSED
createNotebookExecutionJobRequest:
notebookExecutionJob:
displayName: Notebook execution
gcsNotebookSource:
uri: gs://${notebook.bucket}/${notebook.name}
generation: ${notebook.generation}
notebookRuntimeTemplateResourceName: projects/${myRuntimeTemplate.project}/locations/${myRuntimeTemplate.location}/notebookRuntimeTemplates/${myRuntimeTemplate.name}
gcsOutputUri: gs://${outputBucket.name}
serviceAccount: my@service-account.com
options:
dependsOn:
- ${myRuntimeTemplate}
- ${outputBucket}
Colab Schedule Full
import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const myRuntimeTemplate = new gcp.colab.RuntimeTemplate("my_runtime_template", {
name: "runtime-template",
displayName: "Runtime template",
location: "us-central1",
machineSpec: {
machineType: "e2-standard-4",
},
networkSpec: {
enableInternetAccess: true,
},
});
const outputBucket = new gcp.storage.Bucket("output_bucket", {
name: "my_bucket",
location: "US",
forceDestroy: true,
uniformBucketLevelAccess: true,
});
const secret = new gcp.secretmanager.Secret("secret", {
secretId: "secret",
replication: {
auto: {},
},
});
const secretVersion = new gcp.secretmanager.SecretVersion("secret_version", {
secret: secret.id,
secretData: "secret-data",
});
const dataformRepository = new gcp.dataform.Repository("dataform_repository", {
name: "dataform-repository",
displayName: "dataform_repository",
npmrcEnvironmentVariablesSecretVersion: secretVersion.id,
kmsKeyName: "",
labels: {
label_foo1: "label-bar1",
},
gitRemoteSettings: {
url: "https://github.com/OWNER/REPOSITORY.git",
defaultBranch: "main",
authenticationTokenSecretVersion: secretVersion.id,
},
workspaceCompilationOverrides: {
defaultDatabase: "database",
schemaSuffix: "_suffix",
tablePrefix: "prefix_",
},
});
const schedule = new gcp.colab.Schedule("schedule", {
displayName: "full-schedule",
location: "us-west1",
allowQueueing: true,
maxConcurrentRunCount: "2",
cron: "TZ=America/Los_Angeles * * * * *",
maxRunCount: "5",
startTime: "2014-10-02T15:01:23Z",
endTime: "2014-10-10T15:01:23Z",
desiredState: "ACTIVE",
createNotebookExecutionJobRequest: {
notebookExecutionJob: {
displayName: "Notebook execution",
executionTimeout: "86400s",
dataformRepositorySource: {
commitSha: "randomsha123",
dataformRepositoryResourceName: pulumi.interpolate`projects/my-project-name/locations/us-west1/repositories/${dataformRepository.name}`,
},
notebookRuntimeTemplateResourceName: pulumi.interpolate`projects/${myRuntimeTemplate.project}/locations/${myRuntimeTemplate.location}/notebookRuntimeTemplates/${myRuntimeTemplate.name}`,
gcsOutputUri: pulumi.interpolate`gs://${outputBucket.name}`,
serviceAccount: "my@service-account.com",
},
},
}, {
dependsOn: [
myRuntimeTemplate,
outputBucket,
secretVersion,
dataformRepository,
],
});
import pulumi
import pulumi_gcp as gcp
my_runtime_template = gcp.colab.RuntimeTemplate("my_runtime_template",
name="runtime-template",
display_name="Runtime template",
location="us-central1",
machine_spec={
"machine_type": "e2-standard-4",
},
network_spec={
"enable_internet_access": True,
})
output_bucket = gcp.storage.Bucket("output_bucket",
name="my_bucket",
location="US",
force_destroy=True,
uniform_bucket_level_access=True)
secret = gcp.secretmanager.Secret("secret",
secret_id="secret",
replication={
"auto": {},
})
secret_version = gcp.secretmanager.SecretVersion("secret_version",
secret=secret.id,
secret_data="secret-data")
dataform_repository = gcp.dataform.Repository("dataform_repository",
name="dataform-repository",
display_name="dataform_repository",
npmrc_environment_variables_secret_version=secret_version.id,
kms_key_name="",
labels={
"label_foo1": "label-bar1",
},
git_remote_settings={
"url": "https://github.com/OWNER/REPOSITORY.git",
"default_branch": "main",
"authentication_token_secret_version": secret_version.id,
},
workspace_compilation_overrides={
"default_database": "database",
"schema_suffix": "_suffix",
"table_prefix": "prefix_",
})
schedule = gcp.colab.Schedule("schedule",
display_name="full-schedule",
location="us-west1",
allow_queueing=True,
max_concurrent_run_count="2",
cron="TZ=America/Los_Angeles * * * * *",
max_run_count="5",
start_time="2014-10-02T15:01:23Z",
end_time="2014-10-10T15:01:23Z",
desired_state="ACTIVE",
create_notebook_execution_job_request={
"notebook_execution_job": {
"display_name": "Notebook execution",
"execution_timeout": "86400s",
"dataform_repository_source": {
"commit_sha": "randomsha123",
"dataform_repository_resource_name": dataform_repository.name.apply(lambda name: f"projects/my-project-name/locations/us-west1/repositories/{name}"),
},
"notebook_runtime_template_resource_name": pulumi.Output.all(
project=my_runtime_template.project,
location=my_runtime_template.location,
name=my_runtime_template.name
).apply(lambda resolved_outputs: f"projects/{resolved_outputs['project']}/locations/{resolved_outputs['location']}/notebookRuntimeTemplates/{resolved_outputs['name']}")
,
"gcs_output_uri": output_bucket.name.apply(lambda name: f"gs://{name}"),
"service_account": "my@service-account.com",
},
},
opts = pulumi.ResourceOptions(depends_on=[
my_runtime_template,
output_bucket,
secret_version,
dataform_repository,
]))
package main
import (
"fmt"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/colab"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/dataform"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/secretmanager"
"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/storage"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
myRuntimeTemplate, err := colab.NewRuntimeTemplate(ctx, "my_runtime_template", &colab.RuntimeTemplateArgs{
Name: pulumi.String("runtime-template"),
DisplayName: pulumi.String("Runtime template"),
Location: pulumi.String("us-central1"),
MachineSpec: &colab.RuntimeTemplateMachineSpecArgs{
MachineType: pulumi.String("e2-standard-4"),
},
NetworkSpec: &colab.RuntimeTemplateNetworkSpecArgs{
EnableInternetAccess: pulumi.Bool(true),
},
})
if err != nil {
return err
}
outputBucket, err := storage.NewBucket(ctx, "output_bucket", &storage.BucketArgs{
Name: pulumi.String("my_bucket"),
Location: pulumi.String("US"),
ForceDestroy: pulumi.Bool(true),
UniformBucketLevelAccess: pulumi.Bool(true),
})
if err != nil {
return err
}
secret, err := secretmanager.NewSecret(ctx, "secret", &secretmanager.SecretArgs{
SecretId: pulumi.String("secret"),
Replication: &secretmanager.SecretReplicationArgs{
Auto: &secretmanager.SecretReplicationAutoArgs{},
},
})
if err != nil {
return err
}
secretVersion, err := secretmanager.NewSecretVersion(ctx, "secret_version", &secretmanager.SecretVersionArgs{
Secret: secret.ID(),
SecretData: pulumi.String("secret-data"),
})
if err != nil {
return err
}
dataformRepository, err := dataform.NewRepository(ctx, "dataform_repository", &dataform.RepositoryArgs{
Name: pulumi.String("dataform-repository"),
DisplayName: pulumi.String("dataform_repository"),
NpmrcEnvironmentVariablesSecretVersion: secretVersion.ID(),
KmsKeyName: pulumi.String(""),
Labels: pulumi.StringMap{
"label_foo1": pulumi.String("label-bar1"),
},
GitRemoteSettings: &dataform.RepositoryGitRemoteSettingsArgs{
Url: pulumi.String("https://github.com/OWNER/REPOSITORY.git"),
DefaultBranch: pulumi.String("main"),
AuthenticationTokenSecretVersion: secretVersion.ID(),
},
WorkspaceCompilationOverrides: &dataform.RepositoryWorkspaceCompilationOverridesArgs{
DefaultDatabase: pulumi.String("database"),
SchemaSuffix: pulumi.String("_suffix"),
TablePrefix: pulumi.String("prefix_"),
},
})
if err != nil {
return err
}
_, err = colab.NewSchedule(ctx, "schedule", &colab.ScheduleArgs{
DisplayName: pulumi.String("full-schedule"),
Location: pulumi.String("us-west1"),
AllowQueueing: pulumi.Bool(true),
MaxConcurrentRunCount: pulumi.String("2"),
Cron: pulumi.String("TZ=America/Los_Angeles * * * * *"),
MaxRunCount: pulumi.String("5"),
StartTime: pulumi.String("2014-10-02T15:01:23Z"),
EndTime: pulumi.String("2014-10-10T15:01:23Z"),
DesiredState: pulumi.String("ACTIVE"),
CreateNotebookExecutionJobRequest: &colab.ScheduleCreateNotebookExecutionJobRequestArgs{
NotebookExecutionJob: &colab.ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobArgs{
DisplayName: pulumi.String("Notebook execution"),
ExecutionTimeout: pulumi.String("86400s"),
DataformRepositorySource: &colab.ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobDataformRepositorySourceArgs{
CommitSha: pulumi.String("randomsha123"),
DataformRepositoryResourceName: dataformRepository.Name.ApplyT(func(name string) (string, error) {
return fmt.Sprintf("projects/my-project-name/locations/us-west1/repositories/%v", name), nil
}).(pulumi.StringOutput),
},
NotebookRuntimeTemplateResourceName: pulumi.All(myRuntimeTemplate.Project, myRuntimeTemplate.Location, myRuntimeTemplate.Name).ApplyT(func(_args []interface{}) (string, error) {
project := _args[0].(string)
location := _args[1].(string)
name := _args[2].(string)
return fmt.Sprintf("projects/%v/locations/%v/notebookRuntimeTemplates/%v", project, location, name), nil
}).(pulumi.StringOutput),
GcsOutputUri: outputBucket.Name.ApplyT(func(name string) (string, error) {
return fmt.Sprintf("gs://%v", name), nil
}).(pulumi.StringOutput),
ServiceAccount: pulumi.String("my@service-account.com"),
},
},
}, pulumi.DependsOn([]pulumi.Resource{
myRuntimeTemplate,
outputBucket,
secretVersion,
dataformRepository,
}))
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;
return await Deployment.RunAsync(() =>
{
var myRuntimeTemplate = new Gcp.Colab.RuntimeTemplate("my_runtime_template", new()
{
Name = "runtime-template",
DisplayName = "Runtime template",
Location = "us-central1",
MachineSpec = new Gcp.Colab.Inputs.RuntimeTemplateMachineSpecArgs
{
MachineType = "e2-standard-4",
},
NetworkSpec = new Gcp.Colab.Inputs.RuntimeTemplateNetworkSpecArgs
{
EnableInternetAccess = true,
},
});
var outputBucket = new Gcp.Storage.Bucket("output_bucket", new()
{
Name = "my_bucket",
Location = "US",
ForceDestroy = true,
UniformBucketLevelAccess = true,
});
var secret = new Gcp.SecretManager.Secret("secret", new()
{
SecretId = "secret",
Replication = new Gcp.SecretManager.Inputs.SecretReplicationArgs
{
Auto = null,
},
});
var secretVersion = new Gcp.SecretManager.SecretVersion("secret_version", new()
{
Secret = secret.Id,
SecretData = "secret-data",
});
var dataformRepository = new Gcp.Dataform.Repository("dataform_repository", new()
{
Name = "dataform-repository",
DisplayName = "dataform_repository",
NpmrcEnvironmentVariablesSecretVersion = secretVersion.Id,
KmsKeyName = "",
Labels =
{
{ "label_foo1", "label-bar1" },
},
GitRemoteSettings = new Gcp.Dataform.Inputs.RepositoryGitRemoteSettingsArgs
{
Url = "https://github.com/OWNER/REPOSITORY.git",
DefaultBranch = "main",
AuthenticationTokenSecretVersion = secretVersion.Id,
},
WorkspaceCompilationOverrides = new Gcp.Dataform.Inputs.RepositoryWorkspaceCompilationOverridesArgs
{
DefaultDatabase = "database",
SchemaSuffix = "_suffix",
TablePrefix = "prefix_",
},
});
var schedule = new Gcp.Colab.Schedule("schedule", new()
{
DisplayName = "full-schedule",
Location = "us-west1",
AllowQueueing = true,
MaxConcurrentRunCount = "2",
Cron = "TZ=America/Los_Angeles * * * * *",
MaxRunCount = "5",
StartTime = "2014-10-02T15:01:23Z",
EndTime = "2014-10-10T15:01:23Z",
DesiredState = "ACTIVE",
CreateNotebookExecutionJobRequest = new Gcp.Colab.Inputs.ScheduleCreateNotebookExecutionJobRequestArgs
{
NotebookExecutionJob = new Gcp.Colab.Inputs.ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobArgs
{
DisplayName = "Notebook execution",
ExecutionTimeout = "86400s",
DataformRepositorySource = new Gcp.Colab.Inputs.ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobDataformRepositorySourceArgs
{
CommitSha = "randomsha123",
DataformRepositoryResourceName = dataformRepository.Name.Apply(name => $"projects/my-project-name/locations/us-west1/repositories/{name}"),
},
NotebookRuntimeTemplateResourceName = Output.Tuple(myRuntimeTemplate.Project, myRuntimeTemplate.Location, myRuntimeTemplate.Name).Apply(values =>
{
var project = values.Item1;
var location = values.Item2;
var name = values.Item3;
return $"projects/{project}/locations/{location}/notebookRuntimeTemplates/{name}";
}),
GcsOutputUri = outputBucket.Name.Apply(name => $"gs://{name}"),
ServiceAccount = "my@service-account.com",
},
},
}, new CustomResourceOptions
{
DependsOn =
{
myRuntimeTemplate,
outputBucket,
secretVersion,
dataformRepository,
},
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.colab.RuntimeTemplate;
import com.pulumi.gcp.colab.RuntimeTemplateArgs;
import com.pulumi.gcp.colab.inputs.RuntimeTemplateMachineSpecArgs;
import com.pulumi.gcp.colab.inputs.RuntimeTemplateNetworkSpecArgs;
import com.pulumi.gcp.storage.Bucket;
import com.pulumi.gcp.storage.BucketArgs;
import com.pulumi.gcp.secretmanager.Secret;
import com.pulumi.gcp.secretmanager.SecretArgs;
import com.pulumi.gcp.secretmanager.inputs.SecretReplicationArgs;
import com.pulumi.gcp.secretmanager.inputs.SecretReplicationAutoArgs;
import com.pulumi.gcp.secretmanager.SecretVersion;
import com.pulumi.gcp.secretmanager.SecretVersionArgs;
import com.pulumi.gcp.dataform.Repository;
import com.pulumi.gcp.dataform.RepositoryArgs;
import com.pulumi.gcp.dataform.inputs.RepositoryGitRemoteSettingsArgs;
import com.pulumi.gcp.dataform.inputs.RepositoryWorkspaceCompilationOverridesArgs;
import com.pulumi.gcp.colab.Schedule;
import com.pulumi.gcp.colab.ScheduleArgs;
import com.pulumi.gcp.colab.inputs.ScheduleCreateNotebookExecutionJobRequestArgs;
import com.pulumi.gcp.colab.inputs.ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobArgs;
import com.pulumi.gcp.colab.inputs.ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobDataformRepositorySourceArgs;
import com.pulumi.resources.CustomResourceOptions;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var myRuntimeTemplate = new RuntimeTemplate("myRuntimeTemplate", RuntimeTemplateArgs.builder()
.name("runtime-template")
.displayName("Runtime template")
.location("us-central1")
.machineSpec(RuntimeTemplateMachineSpecArgs.builder()
.machineType("e2-standard-4")
.build())
.networkSpec(RuntimeTemplateNetworkSpecArgs.builder()
.enableInternetAccess(true)
.build())
.build());
var outputBucket = new Bucket("outputBucket", BucketArgs.builder()
.name("my_bucket")
.location("US")
.forceDestroy(true)
.uniformBucketLevelAccess(true)
.build());
var secret = new Secret("secret", SecretArgs.builder()
.secretId("secret")
.replication(SecretReplicationArgs.builder()
.auto()
.build())
.build());
var secretVersion = new SecretVersion("secretVersion", SecretVersionArgs.builder()
.secret(secret.id())
.secretData("secret-data")
.build());
var dataformRepository = new Repository("dataformRepository", RepositoryArgs.builder()
.name("dataform-repository")
.displayName("dataform_repository")
.npmrcEnvironmentVariablesSecretVersion(secretVersion.id())
.kmsKeyName("")
.labels(Map.of("label_foo1", "label-bar1"))
.gitRemoteSettings(RepositoryGitRemoteSettingsArgs.builder()
.url("https://github.com/OWNER/REPOSITORY.git")
.defaultBranch("main")
.authenticationTokenSecretVersion(secretVersion.id())
.build())
.workspaceCompilationOverrides(RepositoryWorkspaceCompilationOverridesArgs.builder()
.defaultDatabase("database")
.schemaSuffix("_suffix")
.tablePrefix("prefix_")
.build())
.build());
var schedule = new Schedule("schedule", ScheduleArgs.builder()
.displayName("full-schedule")
.location("us-west1")
.allowQueueing(true)
.maxConcurrentRunCount(2)
.cron("TZ=America/Los_Angeles * * * * *")
.maxRunCount(5)
.startTime("2014-10-02T15:01:23Z")
.endTime("2014-10-10T15:01:23Z")
.desiredState("ACTIVE")
.createNotebookExecutionJobRequest(ScheduleCreateNotebookExecutionJobRequestArgs.builder()
.notebookExecutionJob(ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobArgs.builder()
.displayName("Notebook execution")
.executionTimeout("86400s")
.dataformRepositorySource(ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobDataformRepositorySourceArgs.builder()
.commitSha("randomsha123")
.dataformRepositoryResourceName(dataformRepository.name().applyValue(name -> String.format("projects/my-project-name/locations/us-west1/repositories/%s", name)))
.build())
.notebookRuntimeTemplateResourceName(Output.tuple(myRuntimeTemplate.project(), myRuntimeTemplate.location(), myRuntimeTemplate.name()).applyValue(values -> {
var project = values.t1;
var location = values.t2;
var name = values.t3;
return String.format("projects/%s/locations/%s/notebookRuntimeTemplates/%s", project,location,name);
}))
.gcsOutputUri(outputBucket.name().applyValue(name -> String.format("gs://%s", name)))
.serviceAccount("my@service-account.com")
.build())
.build())
.build(), CustomResourceOptions.builder()
.dependsOn(
myRuntimeTemplate,
outputBucket,
secretVersion,
dataformRepository)
.build());
}
}
resources:
myRuntimeTemplate:
type: gcp:colab:RuntimeTemplate
name: my_runtime_template
properties:
name: runtime-template
displayName: Runtime template
location: us-central1
machineSpec:
machineType: e2-standard-4
networkSpec:
enableInternetAccess: true
outputBucket:
type: gcp:storage:Bucket
name: output_bucket
properties:
name: my_bucket
location: US
forceDestroy: true
uniformBucketLevelAccess: true
secret:
type: gcp:secretmanager:Secret
properties:
secretId: secret
replication:
auto: {}
secretVersion:
type: gcp:secretmanager:SecretVersion
name: secret_version
properties:
secret: ${secret.id}
secretData: secret-data
dataformRepository:
type: gcp:dataform:Repository
name: dataform_repository
properties:
name: dataform-repository
displayName: dataform_repository
npmrcEnvironmentVariablesSecretVersion: ${secretVersion.id}
kmsKeyName: ""
labels:
label_foo1: label-bar1
gitRemoteSettings:
url: https://github.com/OWNER/REPOSITORY.git
defaultBranch: main
authenticationTokenSecretVersion: ${secretVersion.id}
workspaceCompilationOverrides:
defaultDatabase: database
schemaSuffix: _suffix
tablePrefix: prefix_
schedule:
type: gcp:colab:Schedule
properties:
displayName: full-schedule
location: us-west1
allowQueueing: true
maxConcurrentRunCount: 2
cron: TZ=America/Los_Angeles * * * * *
maxRunCount: 5
startTime: 2014-10-02T15:01:23Z
endTime: 2014-10-10T15:01:23Z
desiredState: ACTIVE
createNotebookExecutionJobRequest:
notebookExecutionJob:
displayName: Notebook execution
executionTimeout: 86400s
dataformRepositorySource:
commitSha: randomsha123
dataformRepositoryResourceName: projects/my-project-name/locations/us-west1/repositories/${dataformRepository.name}
notebookRuntimeTemplateResourceName: projects/${myRuntimeTemplate.project}/locations/${myRuntimeTemplate.location}/notebookRuntimeTemplates/${myRuntimeTemplate.name}
gcsOutputUri: gs://${outputBucket.name}
serviceAccount: my@service-account.com
options:
dependsOn:
- ${myRuntimeTemplate}
- ${outputBucket}
- ${secretVersion}
- ${dataformRepository}
Create Schedule Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new Schedule(name: string, args: ScheduleArgs, opts?: CustomResourceOptions);@overload
def Schedule(resource_name: str,
args: ScheduleArgs,
opts: Optional[ResourceOptions] = None)
@overload
def Schedule(resource_name: str,
opts: Optional[ResourceOptions] = None,
create_notebook_execution_job_request: Optional[ScheduleCreateNotebookExecutionJobRequestArgs] = None,
cron: Optional[str] = None,
display_name: Optional[str] = None,
location: Optional[str] = None,
max_concurrent_run_count: Optional[str] = None,
allow_queueing: Optional[bool] = None,
desired_state: Optional[str] = None,
end_time: Optional[str] = None,
max_run_count: Optional[str] = None,
project: Optional[str] = None,
start_time: Optional[str] = None)func NewSchedule(ctx *Context, name string, args ScheduleArgs, opts ...ResourceOption) (*Schedule, error)public Schedule(string name, ScheduleArgs args, CustomResourceOptions? opts = null)
public Schedule(String name, ScheduleArgs args)
public Schedule(String name, ScheduleArgs args, CustomResourceOptions options)
type: gcp:colab:Schedule
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
Parameters
- name string
- The unique name of the resource.
- args ScheduleArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- resource_name str
- The unique name of the resource.
- args ScheduleArgs
- The arguments to resource properties.
- opts ResourceOptions
- Bag of options to control resource's behavior.
- ctx Context
- Context object for the current deployment.
- name string
- The unique name of the resource.
- args ScheduleArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args ScheduleArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args ScheduleArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
Constructor example
The following reference example uses placeholder values for all input properties.
var scheduleResource = new Gcp.Colab.Schedule("scheduleResource", new()
{
CreateNotebookExecutionJobRequest = new Gcp.Colab.Inputs.ScheduleCreateNotebookExecutionJobRequestArgs
{
NotebookExecutionJob = new Gcp.Colab.Inputs.ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobArgs
{
DisplayName = "string",
GcsOutputUri = "string",
NotebookRuntimeTemplateResourceName = "string",
DataformRepositorySource = new Gcp.Colab.Inputs.ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobDataformRepositorySourceArgs
{
DataformRepositoryResourceName = "string",
CommitSha = "string",
},
ExecutionTimeout = "string",
ExecutionUser = "string",
GcsNotebookSource = new Gcp.Colab.Inputs.ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobGcsNotebookSourceArgs
{
Uri = "string",
Generation = "string",
},
ServiceAccount = "string",
},
},
Cron = "string",
DisplayName = "string",
Location = "string",
MaxConcurrentRunCount = "string",
AllowQueueing = false,
DesiredState = "string",
EndTime = "string",
MaxRunCount = "string",
Project = "string",
StartTime = "string",
});
example, err := colab.NewSchedule(ctx, "scheduleResource", &colab.ScheduleArgs{
CreateNotebookExecutionJobRequest: &colab.ScheduleCreateNotebookExecutionJobRequestArgs{
NotebookExecutionJob: &colab.ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobArgs{
DisplayName: pulumi.String("string"),
GcsOutputUri: pulumi.String("string"),
NotebookRuntimeTemplateResourceName: pulumi.String("string"),
DataformRepositorySource: &colab.ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobDataformRepositorySourceArgs{
DataformRepositoryResourceName: pulumi.String("string"),
CommitSha: pulumi.String("string"),
},
ExecutionTimeout: pulumi.String("string"),
ExecutionUser: pulumi.String("string"),
GcsNotebookSource: &colab.ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobGcsNotebookSourceArgs{
Uri: pulumi.String("string"),
Generation: pulumi.String("string"),
},
ServiceAccount: pulumi.String("string"),
},
},
Cron: pulumi.String("string"),
DisplayName: pulumi.String("string"),
Location: pulumi.String("string"),
MaxConcurrentRunCount: pulumi.String("string"),
AllowQueueing: pulumi.Bool(false),
DesiredState: pulumi.String("string"),
EndTime: pulumi.String("string"),
MaxRunCount: pulumi.String("string"),
Project: pulumi.String("string"),
StartTime: pulumi.String("string"),
})
var scheduleResource = new Schedule("scheduleResource", ScheduleArgs.builder()
.createNotebookExecutionJobRequest(ScheduleCreateNotebookExecutionJobRequestArgs.builder()
.notebookExecutionJob(ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobArgs.builder()
.displayName("string")
.gcsOutputUri("string")
.notebookRuntimeTemplateResourceName("string")
.dataformRepositorySource(ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobDataformRepositorySourceArgs.builder()
.dataformRepositoryResourceName("string")
.commitSha("string")
.build())
.executionTimeout("string")
.executionUser("string")
.gcsNotebookSource(ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobGcsNotebookSourceArgs.builder()
.uri("string")
.generation("string")
.build())
.serviceAccount("string")
.build())
.build())
.cron("string")
.displayName("string")
.location("string")
.maxConcurrentRunCount("string")
.allowQueueing(false)
.desiredState("string")
.endTime("string")
.maxRunCount("string")
.project("string")
.startTime("string")
.build());
schedule_resource = gcp.colab.Schedule("scheduleResource",
create_notebook_execution_job_request={
"notebook_execution_job": {
"display_name": "string",
"gcs_output_uri": "string",
"notebook_runtime_template_resource_name": "string",
"dataform_repository_source": {
"dataform_repository_resource_name": "string",
"commit_sha": "string",
},
"execution_timeout": "string",
"execution_user": "string",
"gcs_notebook_source": {
"uri": "string",
"generation": "string",
},
"service_account": "string",
},
},
cron="string",
display_name="string",
location="string",
max_concurrent_run_count="string",
allow_queueing=False,
desired_state="string",
end_time="string",
max_run_count="string",
project="string",
start_time="string")
const scheduleResource = new gcp.colab.Schedule("scheduleResource", {
createNotebookExecutionJobRequest: {
notebookExecutionJob: {
displayName: "string",
gcsOutputUri: "string",
notebookRuntimeTemplateResourceName: "string",
dataformRepositorySource: {
dataformRepositoryResourceName: "string",
commitSha: "string",
},
executionTimeout: "string",
executionUser: "string",
gcsNotebookSource: {
uri: "string",
generation: "string",
},
serviceAccount: "string",
},
},
cron: "string",
displayName: "string",
location: "string",
maxConcurrentRunCount: "string",
allowQueueing: false,
desiredState: "string",
endTime: "string",
maxRunCount: "string",
project: "string",
startTime: "string",
});
type: gcp:colab:Schedule
properties:
allowQueueing: false
createNotebookExecutionJobRequest:
notebookExecutionJob:
dataformRepositorySource:
commitSha: string
dataformRepositoryResourceName: string
displayName: string
executionTimeout: string
executionUser: string
gcsNotebookSource:
generation: string
uri: string
gcsOutputUri: string
notebookRuntimeTemplateResourceName: string
serviceAccount: string
cron: string
desiredState: string
displayName: string
endTime: string
location: string
maxConcurrentRunCount: string
maxRunCount: string
project: string
startTime: string
Schedule Resource Properties
To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.
Inputs
In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.
The Schedule resource accepts the following input properties:
- Create
Notebook ScheduleExecution Job Request Create Notebook Execution Job Request - Request for google_colab_notebook_execution. Structure is documented below.
- Cron string
- Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs.
- Display
Name string - Required. The display name of the Schedule.
- Location string
- The location for the resource: https://cloud.google.com/colab/docs/locations
- Max
Concurrent stringRun Count - Maximum number of runs that can be started concurrently for this Schedule. This is the limit for starting the scheduled requests and not the execution of the notebook execution jobs created by the requests.
- Allow
Queueing bool - Whether new scheduled runs can be queued when max_concurrent_runs limit is reached. If set to true, new runs will be queued instead of skipped. Default to false.
- Desired
State string - Desired state of the Colab Schedule. Set this field to 'ACTIVE' to start/resume the schedule, and 'PAUSED' to pause the schedule.
- End
Time string - Timestamp after which no new runs can be scheduled. If specified, the schedule will be completed when either end_time is reached or when scheduled_run_count >= max_run_count. Must be in the RFC 3339 (https://www.ietf.org/rfc/rfc3339.txt) format.
- Max
Run stringCount - Maximum run count of the schedule. If specified, The schedule will be completed when either startedRunCount >= maxRunCount or when endTime is reached. If not specified, new runs will keep getting scheduled until this Schedule is paused or deleted. Already scheduled runs will be allowed to complete. Unset if not specified.
- Project string
- Start
Time string - The timestamp after which the first run can be scheduled. Defaults to the schedule creation time. Must be in the RFC 3339 (https://www.ietf.org/rfc/rfc3339.txt) format.
- Create
Notebook ScheduleExecution Job Request Create Notebook Execution Job Request Args - Request for google_colab_notebook_execution. Structure is documented below.
- Cron string
- Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs.
- Display
Name string - Required. The display name of the Schedule.
- Location string
- The location for the resource: https://cloud.google.com/colab/docs/locations
- Max
Concurrent stringRun Count - Maximum number of runs that can be started concurrently for this Schedule. This is the limit for starting the scheduled requests and not the execution of the notebook execution jobs created by the requests.
- Allow
Queueing bool - Whether new scheduled runs can be queued when max_concurrent_runs limit is reached. If set to true, new runs will be queued instead of skipped. Default to false.
- Desired
State string - Desired state of the Colab Schedule. Set this field to 'ACTIVE' to start/resume the schedule, and 'PAUSED' to pause the schedule.
- End
Time string - Timestamp after which no new runs can be scheduled. If specified, the schedule will be completed when either end_time is reached or when scheduled_run_count >= max_run_count. Must be in the RFC 3339 (https://www.ietf.org/rfc/rfc3339.txt) format.
- Max
Run stringCount - Maximum run count of the schedule. If specified, The schedule will be completed when either startedRunCount >= maxRunCount or when endTime is reached. If not specified, new runs will keep getting scheduled until this Schedule is paused or deleted. Already scheduled runs will be allowed to complete. Unset if not specified.
- Project string
- Start
Time string - The timestamp after which the first run can be scheduled. Defaults to the schedule creation time. Must be in the RFC 3339 (https://www.ietf.org/rfc/rfc3339.txt) format.
- create
Notebook ScheduleExecution Job Request Create Notebook Execution Job Request - Request for google_colab_notebook_execution. Structure is documented below.
- cron String
- Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs.
- display
Name String - Required. The display name of the Schedule.
- location String
- The location for the resource: https://cloud.google.com/colab/docs/locations
- max
Concurrent StringRun Count - Maximum number of runs that can be started concurrently for this Schedule. This is the limit for starting the scheduled requests and not the execution of the notebook execution jobs created by the requests.
- allow
Queueing Boolean - Whether new scheduled runs can be queued when max_concurrent_runs limit is reached. If set to true, new runs will be queued instead of skipped. Default to false.
- desired
State String - Desired state of the Colab Schedule. Set this field to 'ACTIVE' to start/resume the schedule, and 'PAUSED' to pause the schedule.
- end
Time String - Timestamp after which no new runs can be scheduled. If specified, the schedule will be completed when either end_time is reached or when scheduled_run_count >= max_run_count. Must be in the RFC 3339 (https://www.ietf.org/rfc/rfc3339.txt) format.
- max
Run StringCount - Maximum run count of the schedule. If specified, The schedule will be completed when either startedRunCount >= maxRunCount or when endTime is reached. If not specified, new runs will keep getting scheduled until this Schedule is paused or deleted. Already scheduled runs will be allowed to complete. Unset if not specified.
- project String
- start
Time String - The timestamp after which the first run can be scheduled. Defaults to the schedule creation time. Must be in the RFC 3339 (https://www.ietf.org/rfc/rfc3339.txt) format.
- create
Notebook ScheduleExecution Job Request Create Notebook Execution Job Request - Request for google_colab_notebook_execution. Structure is documented below.
- cron string
- Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs.
- display
Name string - Required. The display name of the Schedule.
- location string
- The location for the resource: https://cloud.google.com/colab/docs/locations
- max
Concurrent stringRun Count - Maximum number of runs that can be started concurrently for this Schedule. This is the limit for starting the scheduled requests and not the execution of the notebook execution jobs created by the requests.
- allow
Queueing boolean - Whether new scheduled runs can be queued when max_concurrent_runs limit is reached. If set to true, new runs will be queued instead of skipped. Default to false.
- desired
State string - Desired state of the Colab Schedule. Set this field to 'ACTIVE' to start/resume the schedule, and 'PAUSED' to pause the schedule.
- end
Time string - Timestamp after which no new runs can be scheduled. If specified, the schedule will be completed when either end_time is reached or when scheduled_run_count >= max_run_count. Must be in the RFC 3339 (https://www.ietf.org/rfc/rfc3339.txt) format.
- max
Run stringCount - Maximum run count of the schedule. If specified, The schedule will be completed when either startedRunCount >= maxRunCount or when endTime is reached. If not specified, new runs will keep getting scheduled until this Schedule is paused or deleted. Already scheduled runs will be allowed to complete. Unset if not specified.
- project string
- start
Time string - The timestamp after which the first run can be scheduled. Defaults to the schedule creation time. Must be in the RFC 3339 (https://www.ietf.org/rfc/rfc3339.txt) format.
- create_
notebook_ Scheduleexecution_ job_ request Create Notebook Execution Job Request Args - Request for google_colab_notebook_execution. Structure is documented below.
- cron str
- Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs.
- display_
name str - Required. The display name of the Schedule.
- location str
- The location for the resource: https://cloud.google.com/colab/docs/locations
- max_
concurrent_ strrun_ count - Maximum number of runs that can be started concurrently for this Schedule. This is the limit for starting the scheduled requests and not the execution of the notebook execution jobs created by the requests.
- allow_
queueing bool - Whether new scheduled runs can be queued when max_concurrent_runs limit is reached. If set to true, new runs will be queued instead of skipped. Default to false.
- desired_
state str - Desired state of the Colab Schedule. Set this field to 'ACTIVE' to start/resume the schedule, and 'PAUSED' to pause the schedule.
- end_
time str - Timestamp after which no new runs can be scheduled. If specified, the schedule will be completed when either end_time is reached or when scheduled_run_count >= max_run_count. Must be in the RFC 3339 (https://www.ietf.org/rfc/rfc3339.txt) format.
- max_
run_ strcount - Maximum run count of the schedule. If specified, The schedule will be completed when either startedRunCount >= maxRunCount or when endTime is reached. If not specified, new runs will keep getting scheduled until this Schedule is paused or deleted. Already scheduled runs will be allowed to complete. Unset if not specified.
- project str
- start_
time str - The timestamp after which the first run can be scheduled. Defaults to the schedule creation time. Must be in the RFC 3339 (https://www.ietf.org/rfc/rfc3339.txt) format.
- create
Notebook Property MapExecution Job Request - Request for google_colab_notebook_execution. Structure is documented below.
- cron String
- Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs.
- display
Name String - Required. The display name of the Schedule.
- location String
- The location for the resource: https://cloud.google.com/colab/docs/locations
- max
Concurrent StringRun Count - Maximum number of runs that can be started concurrently for this Schedule. This is the limit for starting the scheduled requests and not the execution of the notebook execution jobs created by the requests.
- allow
Queueing Boolean - Whether new scheduled runs can be queued when max_concurrent_runs limit is reached. If set to true, new runs will be queued instead of skipped. Default to false.
- desired
State String - Desired state of the Colab Schedule. Set this field to 'ACTIVE' to start/resume the schedule, and 'PAUSED' to pause the schedule.
- end
Time String - Timestamp after which no new runs can be scheduled. If specified, the schedule will be completed when either end_time is reached or when scheduled_run_count >= max_run_count. Must be in the RFC 3339 (https://www.ietf.org/rfc/rfc3339.txt) format.
- max
Run StringCount - Maximum run count of the schedule. If specified, The schedule will be completed when either startedRunCount >= maxRunCount or when endTime is reached. If not specified, new runs will keep getting scheduled until this Schedule is paused or deleted. Already scheduled runs will be allowed to complete. Unset if not specified.
- project String
- start
Time String - The timestamp after which the first run can be scheduled. Defaults to the schedule creation time. Must be in the RFC 3339 (https://www.ietf.org/rfc/rfc3339.txt) format.
Outputs
All input properties are implicitly available as output properties. Additionally, the Schedule resource produces the following output properties:
Look up Existing Schedule Resource
Get an existing Schedule resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.
public static get(name: string, id: Input<ID>, state?: ScheduleState, opts?: CustomResourceOptions): Schedule@staticmethod
def get(resource_name: str,
id: str,
opts: Optional[ResourceOptions] = None,
allow_queueing: Optional[bool] = None,
create_notebook_execution_job_request: Optional[ScheduleCreateNotebookExecutionJobRequestArgs] = None,
cron: Optional[str] = None,
desired_state: Optional[str] = None,
display_name: Optional[str] = None,
end_time: Optional[str] = None,
location: Optional[str] = None,
max_concurrent_run_count: Optional[str] = None,
max_run_count: Optional[str] = None,
name: Optional[str] = None,
project: Optional[str] = None,
start_time: Optional[str] = None,
state: Optional[str] = None) -> Schedulefunc GetSchedule(ctx *Context, name string, id IDInput, state *ScheduleState, opts ...ResourceOption) (*Schedule, error)public static Schedule Get(string name, Input<string> id, ScheduleState? state, CustomResourceOptions? opts = null)public static Schedule get(String name, Output<String> id, ScheduleState state, CustomResourceOptions options)resources: _: type: gcp:colab:Schedule get: id: ${id}- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- resource_name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- Allow
Queueing bool - Whether new scheduled runs can be queued when max_concurrent_runs limit is reached. If set to true, new runs will be queued instead of skipped. Default to false.
- Create
Notebook ScheduleExecution Job Request Create Notebook Execution Job Request - Request for google_colab_notebook_execution. Structure is documented below.
- Cron string
- Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs.
- Desired
State string - Desired state of the Colab Schedule. Set this field to 'ACTIVE' to start/resume the schedule, and 'PAUSED' to pause the schedule.
- Display
Name string - Required. The display name of the Schedule.
- End
Time string - Timestamp after which no new runs can be scheduled. If specified, the schedule will be completed when either end_time is reached or when scheduled_run_count >= max_run_count. Must be in the RFC 3339 (https://www.ietf.org/rfc/rfc3339.txt) format.
- Location string
- The location for the resource: https://cloud.google.com/colab/docs/locations
- Max
Concurrent stringRun Count - Maximum number of runs that can be started concurrently for this Schedule. This is the limit for starting the scheduled requests and not the execution of the notebook execution jobs created by the requests.
- Max
Run stringCount - Maximum run count of the schedule. If specified, The schedule will be completed when either startedRunCount >= maxRunCount or when endTime is reached. If not specified, new runs will keep getting scheduled until this Schedule is paused or deleted. Already scheduled runs will be allowed to complete. Unset if not specified.
- Name string
- The resource name of the Schedule
- Project string
- Start
Time string - The timestamp after which the first run can be scheduled. Defaults to the schedule creation time. Must be in the RFC 3339 (https://www.ietf.org/rfc/rfc3339.txt) format.
- State string
- Output only. The state of the schedule.
- Allow
Queueing bool - Whether new scheduled runs can be queued when max_concurrent_runs limit is reached. If set to true, new runs will be queued instead of skipped. Default to false.
- Create
Notebook ScheduleExecution Job Request Create Notebook Execution Job Request Args - Request for google_colab_notebook_execution. Structure is documented below.
- Cron string
- Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs.
- Desired
State string - Desired state of the Colab Schedule. Set this field to 'ACTIVE' to start/resume the schedule, and 'PAUSED' to pause the schedule.
- Display
Name string - Required. The display name of the Schedule.
- End
Time string - Timestamp after which no new runs can be scheduled. If specified, the schedule will be completed when either end_time is reached or when scheduled_run_count >= max_run_count. Must be in the RFC 3339 (https://www.ietf.org/rfc/rfc3339.txt) format.
- Location string
- The location for the resource: https://cloud.google.com/colab/docs/locations
- Max
Concurrent stringRun Count - Maximum number of runs that can be started concurrently for this Schedule. This is the limit for starting the scheduled requests and not the execution of the notebook execution jobs created by the requests.
- Max
Run stringCount - Maximum run count of the schedule. If specified, The schedule will be completed when either startedRunCount >= maxRunCount or when endTime is reached. If not specified, new runs will keep getting scheduled until this Schedule is paused or deleted. Already scheduled runs will be allowed to complete. Unset if not specified.
- Name string
- The resource name of the Schedule
- Project string
- Start
Time string - The timestamp after which the first run can be scheduled. Defaults to the schedule creation time. Must be in the RFC 3339 (https://www.ietf.org/rfc/rfc3339.txt) format.
- State string
- Output only. The state of the schedule.
- allow
Queueing Boolean - Whether new scheduled runs can be queued when max_concurrent_runs limit is reached. If set to true, new runs will be queued instead of skipped. Default to false.
- create
Notebook ScheduleExecution Job Request Create Notebook Execution Job Request - Request for google_colab_notebook_execution. Structure is documented below.
- cron String
- Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs.
- desired
State String - Desired state of the Colab Schedule. Set this field to 'ACTIVE' to start/resume the schedule, and 'PAUSED' to pause the schedule.
- display
Name String - Required. The display name of the Schedule.
- end
Time String - Timestamp after which no new runs can be scheduled. If specified, the schedule will be completed when either end_time is reached or when scheduled_run_count >= max_run_count. Must be in the RFC 3339 (https://www.ietf.org/rfc/rfc3339.txt) format.
- location String
- The location for the resource: https://cloud.google.com/colab/docs/locations
- max
Concurrent StringRun Count - Maximum number of runs that can be started concurrently for this Schedule. This is the limit for starting the scheduled requests and not the execution of the notebook execution jobs created by the requests.
- max
Run StringCount - Maximum run count of the schedule. If specified, The schedule will be completed when either startedRunCount >= maxRunCount or when endTime is reached. If not specified, new runs will keep getting scheduled until this Schedule is paused or deleted. Already scheduled runs will be allowed to complete. Unset if not specified.
- name String
- The resource name of the Schedule
- project String
- start
Time String - The timestamp after which the first run can be scheduled. Defaults to the schedule creation time. Must be in the RFC 3339 (https://www.ietf.org/rfc/rfc3339.txt) format.
- state String
- Output only. The state of the schedule.
- allow
Queueing boolean - Whether new scheduled runs can be queued when max_concurrent_runs limit is reached. If set to true, new runs will be queued instead of skipped. Default to false.
- create
Notebook ScheduleExecution Job Request Create Notebook Execution Job Request - Request for google_colab_notebook_execution. Structure is documented below.
- cron string
- Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs.
- desired
State string - Desired state of the Colab Schedule. Set this field to 'ACTIVE' to start/resume the schedule, and 'PAUSED' to pause the schedule.
- display
Name string - Required. The display name of the Schedule.
- end
Time string - Timestamp after which no new runs can be scheduled. If specified, the schedule will be completed when either end_time is reached or when scheduled_run_count >= max_run_count. Must be in the RFC 3339 (https://www.ietf.org/rfc/rfc3339.txt) format.
- location string
- The location for the resource: https://cloud.google.com/colab/docs/locations
- max
Concurrent stringRun Count - Maximum number of runs that can be started concurrently for this Schedule. This is the limit for starting the scheduled requests and not the execution of the notebook execution jobs created by the requests.
- max
Run stringCount - Maximum run count of the schedule. If specified, The schedule will be completed when either startedRunCount >= maxRunCount or when endTime is reached. If not specified, new runs will keep getting scheduled until this Schedule is paused or deleted. Already scheduled runs will be allowed to complete. Unset if not specified.
- name string
- The resource name of the Schedule
- project string
- start
Time string - The timestamp after which the first run can be scheduled. Defaults to the schedule creation time. Must be in the RFC 3339 (https://www.ietf.org/rfc/rfc3339.txt) format.
- state string
- Output only. The state of the schedule.
- allow_
queueing bool - Whether new scheduled runs can be queued when max_concurrent_runs limit is reached. If set to true, new runs will be queued instead of skipped. Default to false.
- create_
notebook_ Scheduleexecution_ job_ request Create Notebook Execution Job Request Args - Request for google_colab_notebook_execution. Structure is documented below.
- cron str
- Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs.
- desired_
state str - Desired state of the Colab Schedule. Set this field to 'ACTIVE' to start/resume the schedule, and 'PAUSED' to pause the schedule.
- display_
name str - Required. The display name of the Schedule.
- end_
time str - Timestamp after which no new runs can be scheduled. If specified, the schedule will be completed when either end_time is reached or when scheduled_run_count >= max_run_count. Must be in the RFC 3339 (https://www.ietf.org/rfc/rfc3339.txt) format.
- location str
- The location for the resource: https://cloud.google.com/colab/docs/locations
- max_
concurrent_ strrun_ count - Maximum number of runs that can be started concurrently for this Schedule. This is the limit for starting the scheduled requests and not the execution of the notebook execution jobs created by the requests.
- max_
run_ strcount - Maximum run count of the schedule. If specified, The schedule will be completed when either startedRunCount >= maxRunCount or when endTime is reached. If not specified, new runs will keep getting scheduled until this Schedule is paused or deleted. Already scheduled runs will be allowed to complete. Unset if not specified.
- name str
- The resource name of the Schedule
- project str
- start_
time str - The timestamp after which the first run can be scheduled. Defaults to the schedule creation time. Must be in the RFC 3339 (https://www.ietf.org/rfc/rfc3339.txt) format.
- state str
- Output only. The state of the schedule.
- allow
Queueing Boolean - Whether new scheduled runs can be queued when max_concurrent_runs limit is reached. If set to true, new runs will be queued instead of skipped. Default to false.
- create
Notebook Property MapExecution Job Request - Request for google_colab_notebook_execution. Structure is documented below.
- cron String
- Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs.
- desired
State String - Desired state of the Colab Schedule. Set this field to 'ACTIVE' to start/resume the schedule, and 'PAUSED' to pause the schedule.
- display
Name String - Required. The display name of the Schedule.
- end
Time String - Timestamp after which no new runs can be scheduled. If specified, the schedule will be completed when either end_time is reached or when scheduled_run_count >= max_run_count. Must be in the RFC 3339 (https://www.ietf.org/rfc/rfc3339.txt) format.
- location String
- The location for the resource: https://cloud.google.com/colab/docs/locations
- max
Concurrent StringRun Count - Maximum number of runs that can be started concurrently for this Schedule. This is the limit for starting the scheduled requests and not the execution of the notebook execution jobs created by the requests.
- max
Run StringCount - Maximum run count of the schedule. If specified, The schedule will be completed when either startedRunCount >= maxRunCount or when endTime is reached. If not specified, new runs will keep getting scheduled until this Schedule is paused or deleted. Already scheduled runs will be allowed to complete. Unset if not specified.
- name String
- The resource name of the Schedule
- project String
- start
Time String - The timestamp after which the first run can be scheduled. Defaults to the schedule creation time. Must be in the RFC 3339 (https://www.ietf.org/rfc/rfc3339.txt) format.
- state String
- Output only. The state of the schedule.
Supporting Types
ScheduleCreateNotebookExecutionJobRequest, ScheduleCreateNotebookExecutionJobRequestArgs
- Notebook
Execution ScheduleJob Create Notebook Execution Job Request Notebook Execution Job - The NotebookExecutionJob to create. Structure is documented below.
- Notebook
Execution ScheduleJob Create Notebook Execution Job Request Notebook Execution Job - The NotebookExecutionJob to create. Structure is documented below.
- notebook
Execution ScheduleJob Create Notebook Execution Job Request Notebook Execution Job - The NotebookExecutionJob to create. Structure is documented below.
- notebook
Execution ScheduleJob Create Notebook Execution Job Request Notebook Execution Job - The NotebookExecutionJob to create. Structure is documented below.
- notebook_
execution_ Schedulejob Create Notebook Execution Job Request Notebook Execution Job - The NotebookExecutionJob to create. Structure is documented below.
- notebook
Execution Property MapJob - The NotebookExecutionJob to create. Structure is documented below.
ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJob, ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobArgs
- Display
Name string - Required. The display name of the Notebook Execution.
- Gcs
Output stringUri - The Cloud Storage location to upload the result to. Format:
gs://bucket-name - Notebook
Runtime stringTemplate Resource Name - The NotebookRuntimeTemplate to source compute configuration from.
- Dataform
Repository ScheduleSource Create Notebook Execution Job Request Notebook Execution Job Dataform Repository Source - The Dataform Repository containing the input notebook. Structure is documented below.
- Execution
Timeout string - Max running time of the execution job in seconds (default 86400s / 24 hrs). A duration in seconds with up to nine fractional digits, ending with "s". Example: "3.5s".
- Execution
User string - The user email to run the execution as.
- Gcs
Notebook ScheduleSource Create Notebook Execution Job Request Notebook Execution Job Gcs Notebook Source - The Cloud Storage uri for the input notebook. Structure is documented below.
- Service
Account string - The service account to run the execution as.
- Display
Name string - Required. The display name of the Notebook Execution.
- Gcs
Output stringUri - The Cloud Storage location to upload the result to. Format:
gs://bucket-name - Notebook
Runtime stringTemplate Resource Name - The NotebookRuntimeTemplate to source compute configuration from.
- Dataform
Repository ScheduleSource Create Notebook Execution Job Request Notebook Execution Job Dataform Repository Source - The Dataform Repository containing the input notebook. Structure is documented below.
- Execution
Timeout string - Max running time of the execution job in seconds (default 86400s / 24 hrs). A duration in seconds with up to nine fractional digits, ending with "s". Example: "3.5s".
- Execution
User string - The user email to run the execution as.
- Gcs
Notebook ScheduleSource Create Notebook Execution Job Request Notebook Execution Job Gcs Notebook Source - The Cloud Storage uri for the input notebook. Structure is documented below.
- Service
Account string - The service account to run the execution as.
- display
Name String - Required. The display name of the Notebook Execution.
- gcs
Output StringUri - The Cloud Storage location to upload the result to. Format:
gs://bucket-name - notebook
Runtime StringTemplate Resource Name - The NotebookRuntimeTemplate to source compute configuration from.
- dataform
Repository ScheduleSource Create Notebook Execution Job Request Notebook Execution Job Dataform Repository Source - The Dataform Repository containing the input notebook. Structure is documented below.
- execution
Timeout String - Max running time of the execution job in seconds (default 86400s / 24 hrs). A duration in seconds with up to nine fractional digits, ending with "s". Example: "3.5s".
- execution
User String - The user email to run the execution as.
- gcs
Notebook ScheduleSource Create Notebook Execution Job Request Notebook Execution Job Gcs Notebook Source - The Cloud Storage uri for the input notebook. Structure is documented below.
- service
Account String - The service account to run the execution as.
- display
Name string - Required. The display name of the Notebook Execution.
- gcs
Output stringUri - The Cloud Storage location to upload the result to. Format:
gs://bucket-name - notebook
Runtime stringTemplate Resource Name - The NotebookRuntimeTemplate to source compute configuration from.
- dataform
Repository ScheduleSource Create Notebook Execution Job Request Notebook Execution Job Dataform Repository Source - The Dataform Repository containing the input notebook. Structure is documented below.
- execution
Timeout string - Max running time of the execution job in seconds (default 86400s / 24 hrs). A duration in seconds with up to nine fractional digits, ending with "s". Example: "3.5s".
- execution
User string - The user email to run the execution as.
- gcs
Notebook ScheduleSource Create Notebook Execution Job Request Notebook Execution Job Gcs Notebook Source - The Cloud Storage uri for the input notebook. Structure is documented below.
- service
Account string - The service account to run the execution as.
- display_
name str - Required. The display name of the Notebook Execution.
- gcs_
output_ struri - The Cloud Storage location to upload the result to. Format:
gs://bucket-name - notebook_
runtime_ strtemplate_ resource_ name - The NotebookRuntimeTemplate to source compute configuration from.
- dataform_
repository_ Schedulesource Create Notebook Execution Job Request Notebook Execution Job Dataform Repository Source - The Dataform Repository containing the input notebook. Structure is documented below.
- execution_
timeout str - Max running time of the execution job in seconds (default 86400s / 24 hrs). A duration in seconds with up to nine fractional digits, ending with "s". Example: "3.5s".
- execution_
user str - The user email to run the execution as.
- gcs_
notebook_ Schedulesource Create Notebook Execution Job Request Notebook Execution Job Gcs Notebook Source - The Cloud Storage uri for the input notebook. Structure is documented below.
- service_
account str - The service account to run the execution as.
- display
Name String - Required. The display name of the Notebook Execution.
- gcs
Output StringUri - The Cloud Storage location to upload the result to. Format:
gs://bucket-name - notebook
Runtime StringTemplate Resource Name - The NotebookRuntimeTemplate to source compute configuration from.
- dataform
Repository Property MapSource - The Dataform Repository containing the input notebook. Structure is documented below.
- execution
Timeout String - Max running time of the execution job in seconds (default 86400s / 24 hrs). A duration in seconds with up to nine fractional digits, ending with "s". Example: "3.5s".
- execution
User String - The user email to run the execution as.
- gcs
Notebook Property MapSource - The Cloud Storage uri for the input notebook. Structure is documented below.
- service
Account String - The service account to run the execution as.
ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobDataformRepositorySource, ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobDataformRepositorySourceArgs
- Dataform
Repository stringResource Name - The resource name of the Dataform Repository.
- Commit
Sha string - The commit SHA to read repository with. If unset, the file will be read at HEAD.
- Dataform
Repository stringResource Name - The resource name of the Dataform Repository.
- Commit
Sha string - The commit SHA to read repository with. If unset, the file will be read at HEAD.
- dataform
Repository StringResource Name - The resource name of the Dataform Repository.
- commit
Sha String - The commit SHA to read repository with. If unset, the file will be read at HEAD.
- dataform
Repository stringResource Name - The resource name of the Dataform Repository.
- commit
Sha string - The commit SHA to read repository with. If unset, the file will be read at HEAD.
- dataform_
repository_ strresource_ name - The resource name of the Dataform Repository.
- commit_
sha str - The commit SHA to read repository with. If unset, the file will be read at HEAD.
- dataform
Repository StringResource Name - The resource name of the Dataform Repository.
- commit
Sha String - The commit SHA to read repository with. If unset, the file will be read at HEAD.
ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobGcsNotebookSource, ScheduleCreateNotebookExecutionJobRequestNotebookExecutionJobGcsNotebookSourceArgs
- Uri string
- The Cloud Storage uri pointing to the ipynb file. Format: gs://bucket/notebook_file.ipynb
- Generation string
- The version of the Cloud Storage object to read. If unset, the current version of the object is read. See https://cloud.google.com/storage/docs/metadata#generation-number.
- Uri string
- The Cloud Storage uri pointing to the ipynb file. Format: gs://bucket/notebook_file.ipynb
- Generation string
- The version of the Cloud Storage object to read. If unset, the current version of the object is read. See https://cloud.google.com/storage/docs/metadata#generation-number.
- uri String
- The Cloud Storage uri pointing to the ipynb file. Format: gs://bucket/notebook_file.ipynb
- generation String
- The version of the Cloud Storage object to read. If unset, the current version of the object is read. See https://cloud.google.com/storage/docs/metadata#generation-number.
- uri string
- The Cloud Storage uri pointing to the ipynb file. Format: gs://bucket/notebook_file.ipynb
- generation string
- The version of the Cloud Storage object to read. If unset, the current version of the object is read. See https://cloud.google.com/storage/docs/metadata#generation-number.
- uri str
- The Cloud Storage uri pointing to the ipynb file. Format: gs://bucket/notebook_file.ipynb
- generation str
- The version of the Cloud Storage object to read. If unset, the current version of the object is read. See https://cloud.google.com/storage/docs/metadata#generation-number.
- uri String
- The Cloud Storage uri pointing to the ipynb file. Format: gs://bucket/notebook_file.ipynb
- generation String
- The version of the Cloud Storage object to read. If unset, the current version of the object is read. See https://cloud.google.com/storage/docs/metadata#generation-number.
Import
Schedule can be imported using any of these accepted formats:
projects/{{project}}/locations/{{location}}/schedules/{{name}}{{project}}/{{location}}/{{name}}{{location}}/{{name}}
When using the pulumi import command, Schedule can be imported using one of the formats above. For example:
$ pulumi import gcp:colab/schedule:Schedule default projects/{{project}}/locations/{{location}}/schedules/{{name}}
$ pulumi import gcp:colab/schedule:Schedule default {{project}}/{{location}}/{{name}}
$ pulumi import gcp:colab/schedule:Schedule default {{location}}/{{name}}
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- Google Cloud (GCP) Classic pulumi/pulumi-gcp
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the
google-betaTerraform Provider.