gcp.healthcare.DicomStore
Explore with Pulumi AI
A DicomStore is a datastore inside a Healthcare dataset that conforms to the DICOM (https://www.dicomstandard.org/about/) standard for Healthcare information exchange
To get more information about DicomStore, see:
- API documentation
- How-to Guides
Example Usage
Healthcare Dicom Store Basic
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;
return await Deployment.RunAsync(() =>
{
var topic = new Gcp.PubSub.Topic("topic");
var dataset = new Gcp.Healthcare.Dataset("dataset", new()
{
Location = "us-central1",
});
var @default = new Gcp.Healthcare.DicomStore("default", new()
{
Dataset = dataset.Id,
NotificationConfig = new Gcp.Healthcare.Inputs.DicomStoreNotificationConfigArgs
{
PubsubTopic = topic.Id,
},
Labels =
{
{ "label1", "labelvalue1" },
},
});
});
package main
import (
"github.com/pulumi/pulumi-gcp/sdk/v6/go/gcp/healthcare"
"github.com/pulumi/pulumi-gcp/sdk/v6/go/gcp/pubsub"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
topic, err := pubsub.NewTopic(ctx, "topic", nil)
if err != nil {
return err
}
dataset, err := healthcare.NewDataset(ctx, "dataset", &healthcare.DatasetArgs{
Location: pulumi.String("us-central1"),
})
if err != nil {
return err
}
_, err = healthcare.NewDicomStore(ctx, "default", &healthcare.DicomStoreArgs{
Dataset: dataset.ID(),
NotificationConfig: &healthcare.DicomStoreNotificationConfigArgs{
PubsubTopic: topic.ID(),
},
Labels: pulumi.StringMap{
"label1": pulumi.String("labelvalue1"),
},
})
if err != nil {
return err
}
return nil
})
}
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.pubsub.Topic;
import com.pulumi.gcp.healthcare.Dataset;
import com.pulumi.gcp.healthcare.DatasetArgs;
import com.pulumi.gcp.healthcare.DicomStore;
import com.pulumi.gcp.healthcare.DicomStoreArgs;
import com.pulumi.gcp.healthcare.inputs.DicomStoreNotificationConfigArgs;
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 topic = new Topic("topic");
var dataset = new Dataset("dataset", DatasetArgs.builder()
.location("us-central1")
.build());
var default_ = new DicomStore("default", DicomStoreArgs.builder()
.dataset(dataset.id())
.notificationConfig(DicomStoreNotificationConfigArgs.builder()
.pubsubTopic(topic.id())
.build())
.labels(Map.of("label1", "labelvalue1"))
.build());
}
}
import pulumi
import pulumi_gcp as gcp
topic = gcp.pubsub.Topic("topic")
dataset = gcp.healthcare.Dataset("dataset", location="us-central1")
default = gcp.healthcare.DicomStore("default",
dataset=dataset.id,
notification_config=gcp.healthcare.DicomStoreNotificationConfigArgs(
pubsub_topic=topic.id,
),
labels={
"label1": "labelvalue1",
})
import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const topic = new gcp.pubsub.Topic("topic", {});
const dataset = new gcp.healthcare.Dataset("dataset", {location: "us-central1"});
const _default = new gcp.healthcare.DicomStore("default", {
dataset: dataset.id,
notificationConfig: {
pubsubTopic: topic.id,
},
labels: {
label1: "labelvalue1",
},
});
resources:
default:
type: gcp:healthcare:DicomStore
properties:
dataset: ${dataset.id}
notificationConfig:
pubsubTopic: ${topic.id}
labels:
label1: labelvalue1
topic:
type: gcp:pubsub:Topic
dataset:
type: gcp:healthcare:Dataset
properties:
location: us-central1
Healthcare Dicom Store Bq Stream
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;
return await Deployment.RunAsync(() =>
{
var topic = new Gcp.PubSub.Topic("topic", new()
{
}, new CustomResourceOptions
{
Provider = google_beta,
});
var dataset = new Gcp.Healthcare.Dataset("dataset", new()
{
Location = "us-central1",
}, new CustomResourceOptions
{
Provider = google_beta,
});
var bqDataset = new Gcp.BigQuery.Dataset("bqDataset", new()
{
DatasetId = "dicom_bq_ds",
FriendlyName = "test",
Description = "This is a test description",
Location = "US",
DeleteContentsOnDestroy = true,
}, new CustomResourceOptions
{
Provider = google_beta,
});
var bqTable = new Gcp.BigQuery.Table("bqTable", new()
{
DeletionProtection = false,
DatasetId = bqDataset.DatasetId,
TableId = "dicom_bq_tb",
}, new CustomResourceOptions
{
Provider = google_beta,
});
var @default = new Gcp.Healthcare.DicomStore("default", new()
{
Dataset = dataset.Id,
NotificationConfig = new Gcp.Healthcare.Inputs.DicomStoreNotificationConfigArgs
{
PubsubTopic = topic.Id,
},
Labels =
{
{ "label1", "labelvalue1" },
},
StreamConfigs = new[]
{
new Gcp.Healthcare.Inputs.DicomStoreStreamConfigArgs
{
BigqueryDestination = new Gcp.Healthcare.Inputs.DicomStoreStreamConfigBigqueryDestinationArgs
{
TableUri = Output.Tuple(bqDataset.Project, bqDataset.DatasetId, bqTable.TableId).Apply(values =>
{
var project = values.Item1;
var datasetId = values.Item2;
var tableId = values.Item3;
return $"bq://{project}.{datasetId}.{tableId}";
}),
},
},
},
}, new CustomResourceOptions
{
Provider = google_beta,
});
});
package main
import (
"fmt"
"github.com/pulumi/pulumi-gcp/sdk/v6/go/gcp/bigquery"
"github.com/pulumi/pulumi-gcp/sdk/v6/go/gcp/healthcare"
"github.com/pulumi/pulumi-gcp/sdk/v6/go/gcp/pubsub"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
topic, err := pubsub.NewTopic(ctx, "topic", nil, pulumi.Provider(google_beta))
if err != nil {
return err
}
dataset, err := healthcare.NewDataset(ctx, "dataset", &healthcare.DatasetArgs{
Location: pulumi.String("us-central1"),
}, pulumi.Provider(google_beta))
if err != nil {
return err
}
bqDataset, err := bigquery.NewDataset(ctx, "bqDataset", &bigquery.DatasetArgs{
DatasetId: pulumi.String("dicom_bq_ds"),
FriendlyName: pulumi.String("test"),
Description: pulumi.String("This is a test description"),
Location: pulumi.String("US"),
DeleteContentsOnDestroy: pulumi.Bool(true),
}, pulumi.Provider(google_beta))
if err != nil {
return err
}
bqTable, err := bigquery.NewTable(ctx, "bqTable", &bigquery.TableArgs{
DeletionProtection: pulumi.Bool(false),
DatasetId: bqDataset.DatasetId,
TableId: pulumi.String("dicom_bq_tb"),
}, pulumi.Provider(google_beta))
if err != nil {
return err
}
_, err = healthcare.NewDicomStore(ctx, "default", &healthcare.DicomStoreArgs{
Dataset: dataset.ID(),
NotificationConfig: &healthcare.DicomStoreNotificationConfigArgs{
PubsubTopic: topic.ID(),
},
Labels: pulumi.StringMap{
"label1": pulumi.String("labelvalue1"),
},
StreamConfigs: healthcare.DicomStoreStreamConfigArray{
&healthcare.DicomStoreStreamConfigArgs{
BigqueryDestination: &healthcare.DicomStoreStreamConfigBigqueryDestinationArgs{
TableUri: pulumi.All(bqDataset.Project, bqDataset.DatasetId, bqTable.TableId).ApplyT(func(_args []interface{}) (string, error) {
project := _args[0].(string)
datasetId := _args[1].(string)
tableId := _args[2].(string)
return fmt.Sprintf("bq://%v.%v.%v", project, datasetId, tableId), nil
}).(pulumi.StringOutput),
},
},
},
}, pulumi.Provider(google_beta))
if err != nil {
return err
}
return nil
})
}
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.pubsub.Topic;
import com.pulumi.gcp.pubsub.TopicArgs;
import com.pulumi.gcp.healthcare.Dataset;
import com.pulumi.gcp.healthcare.DatasetArgs;
import com.pulumi.gcp.bigquery.Dataset;
import com.pulumi.gcp.bigquery.DatasetArgs;
import com.pulumi.gcp.bigquery.Table;
import com.pulumi.gcp.bigquery.TableArgs;
import com.pulumi.gcp.healthcare.DicomStore;
import com.pulumi.gcp.healthcare.DicomStoreArgs;
import com.pulumi.gcp.healthcare.inputs.DicomStoreNotificationConfigArgs;
import com.pulumi.gcp.healthcare.inputs.DicomStoreStreamConfigArgs;
import com.pulumi.gcp.healthcare.inputs.DicomStoreStreamConfigBigqueryDestinationArgs;
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 topic = new Topic("topic", TopicArgs.Empty, CustomResourceOptions.builder()
.provider(google_beta)
.build());
var dataset = new Dataset("dataset", DatasetArgs.builder()
.location("us-central1")
.build(), CustomResourceOptions.builder()
.provider(google_beta)
.build());
var bqDataset = new Dataset("bqDataset", DatasetArgs.builder()
.datasetId("dicom_bq_ds")
.friendlyName("test")
.description("This is a test description")
.location("US")
.deleteContentsOnDestroy(true)
.build(), CustomResourceOptions.builder()
.provider(google_beta)
.build());
var bqTable = new Table("bqTable", TableArgs.builder()
.deletionProtection(false)
.datasetId(bqDataset.datasetId())
.tableId("dicom_bq_tb")
.build(), CustomResourceOptions.builder()
.provider(google_beta)
.build());
var default_ = new DicomStore("default", DicomStoreArgs.builder()
.dataset(dataset.id())
.notificationConfig(DicomStoreNotificationConfigArgs.builder()
.pubsubTopic(topic.id())
.build())
.labels(Map.of("label1", "labelvalue1"))
.streamConfigs(DicomStoreStreamConfigArgs.builder()
.bigqueryDestination(DicomStoreStreamConfigBigqueryDestinationArgs.builder()
.tableUri(Output.tuple(bqDataset.project(), bqDataset.datasetId(), bqTable.tableId()).applyValue(values -> {
var project = values.t1;
var datasetId = values.t2;
var tableId = values.t3;
return String.format("bq://%s.%s.%s", project,datasetId,tableId);
}))
.build())
.build())
.build(), CustomResourceOptions.builder()
.provider(google_beta)
.build());
}
}
import pulumi
import pulumi_gcp as gcp
topic = gcp.pubsub.Topic("topic", opts=pulumi.ResourceOptions(provider=google_beta))
dataset = gcp.healthcare.Dataset("dataset", location="us-central1",
opts=pulumi.ResourceOptions(provider=google_beta))
bq_dataset = gcp.bigquery.Dataset("bqDataset",
dataset_id="dicom_bq_ds",
friendly_name="test",
description="This is a test description",
location="US",
delete_contents_on_destroy=True,
opts=pulumi.ResourceOptions(provider=google_beta))
bq_table = gcp.bigquery.Table("bqTable",
deletion_protection=False,
dataset_id=bq_dataset.dataset_id,
table_id="dicom_bq_tb",
opts=pulumi.ResourceOptions(provider=google_beta))
default = gcp.healthcare.DicomStore("default",
dataset=dataset.id,
notification_config=gcp.healthcare.DicomStoreNotificationConfigArgs(
pubsub_topic=topic.id,
),
labels={
"label1": "labelvalue1",
},
stream_configs=[gcp.healthcare.DicomStoreStreamConfigArgs(
bigquery_destination=gcp.healthcare.DicomStoreStreamConfigBigqueryDestinationArgs(
table_uri=pulumi.Output.all(bq_dataset.project, bq_dataset.dataset_id, bq_table.table_id).apply(lambda project, dataset_id, table_id: f"bq://{project}.{dataset_id}.{table_id}"),
),
)],
opts=pulumi.ResourceOptions(provider=google_beta))
import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const topic = new gcp.pubsub.Topic("topic", {}, {
provider: google_beta,
});
const dataset = new gcp.healthcare.Dataset("dataset", {location: "us-central1"}, {
provider: google_beta,
});
const bqDataset = new gcp.bigquery.Dataset("bqDataset", {
datasetId: "dicom_bq_ds",
friendlyName: "test",
description: "This is a test description",
location: "US",
deleteContentsOnDestroy: true,
}, {
provider: google_beta,
});
const bqTable = new gcp.bigquery.Table("bqTable", {
deletionProtection: false,
datasetId: bqDataset.datasetId,
tableId: "dicom_bq_tb",
}, {
provider: google_beta,
});
const _default = new gcp.healthcare.DicomStore("default", {
dataset: dataset.id,
notificationConfig: {
pubsubTopic: topic.id,
},
labels: {
label1: "labelvalue1",
},
streamConfigs: [{
bigqueryDestination: {
tableUri: pulumi.interpolate`bq://${bqDataset.project}.${bqDataset.datasetId}.${bqTable.tableId}`,
},
}],
}, {
provider: google_beta,
});
resources:
default:
type: gcp:healthcare:DicomStore
properties:
dataset: ${dataset.id}
notificationConfig:
pubsubTopic: ${topic.id}
labels:
label1: labelvalue1
streamConfigs:
- bigqueryDestination:
tableUri: bq://${bqDataset.project}.${bqDataset.datasetId}.${bqTable.tableId}
options:
provider: ${["google-beta"]}
topic:
type: gcp:pubsub:Topic
options:
provider: ${["google-beta"]}
dataset:
type: gcp:healthcare:Dataset
properties:
location: us-central1
options:
provider: ${["google-beta"]}
bqDataset:
type: gcp:bigquery:Dataset
properties:
datasetId: dicom_bq_ds
friendlyName: test
description: This is a test description
location: US
deleteContentsOnDestroy: true
options:
provider: ${["google-beta"]}
bqTable:
type: gcp:bigquery:Table
properties:
deletionProtection: false
datasetId: ${bqDataset.datasetId}
tableId: dicom_bq_tb
options:
provider: ${["google-beta"]}
Create DicomStore Resource
new DicomStore(name: string, args: DicomStoreArgs, opts?: CustomResourceOptions);
@overload
def DicomStore(resource_name: str,
opts: Optional[ResourceOptions] = None,
dataset: Optional[str] = None,
labels: Optional[Mapping[str, str]] = None,
name: Optional[str] = None,
notification_config: Optional[DicomStoreNotificationConfigArgs] = None,
stream_configs: Optional[Sequence[DicomStoreStreamConfigArgs]] = None)
@overload
def DicomStore(resource_name: str,
args: DicomStoreArgs,
opts: Optional[ResourceOptions] = None)
func NewDicomStore(ctx *Context, name string, args DicomStoreArgs, opts ...ResourceOption) (*DicomStore, error)
public DicomStore(string name, DicomStoreArgs args, CustomResourceOptions? opts = null)
public DicomStore(String name, DicomStoreArgs args)
public DicomStore(String name, DicomStoreArgs args, CustomResourceOptions options)
type: gcp:healthcare:DicomStore
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args DicomStoreArgs
- 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 DicomStoreArgs
- 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 DicomStoreArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args DicomStoreArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args DicomStoreArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
DicomStore Resource Properties
To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.
Inputs
The DicomStore resource accepts the following input properties:
- Dataset string
Identifies the dataset addressed by this request. Must be in the format 'projects/{project}/locations/{location}/datasets/{dataset}'
- Labels Dictionary<string, string>
User-supplied key-value pairs used to organize DICOM stores. Label keys must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}][\p{Ll}\p{Lo}\p{N}-]{0,62} Label values are optional, must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}\p{N}-]{0,63} No more than 64 labels can be associated with a given store. An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" }.
- Name string
The resource name for the DicomStore. ** Changing this property may recreate the Dicom store (removing all data) **
- Notification
Config DicomStore Notification Config A nested object resource Structure is documented below.
- Stream
Configs List<DicomStore Stream Config> To enable streaming to BigQuery, configure the streamConfigs object in your DICOM store. streamConfigs is an array, so you can specify multiple BigQuery destinations. You can stream metadata from a single DICOM store to up to five BigQuery tables in a BigQuery dataset. Structure is documented below.
- Dataset string
Identifies the dataset addressed by this request. Must be in the format 'projects/{project}/locations/{location}/datasets/{dataset}'
- Labels map[string]string
User-supplied key-value pairs used to organize DICOM stores. Label keys must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}][\p{Ll}\p{Lo}\p{N}-]{0,62} Label values are optional, must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}\p{N}-]{0,63} No more than 64 labels can be associated with a given store. An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" }.
- Name string
The resource name for the DicomStore. ** Changing this property may recreate the Dicom store (removing all data) **
- Notification
Config DicomStore Notification Config Args A nested object resource Structure is documented below.
- Stream
Configs []DicomStore Stream Config Args To enable streaming to BigQuery, configure the streamConfigs object in your DICOM store. streamConfigs is an array, so you can specify multiple BigQuery destinations. You can stream metadata from a single DICOM store to up to five BigQuery tables in a BigQuery dataset. Structure is documented below.
- dataset String
Identifies the dataset addressed by this request. Must be in the format 'projects/{project}/locations/{location}/datasets/{dataset}'
- labels Map<String,String>
User-supplied key-value pairs used to organize DICOM stores. Label keys must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}][\p{Ll}\p{Lo}\p{N}-]{0,62} Label values are optional, must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}\p{N}-]{0,63} No more than 64 labels can be associated with a given store. An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" }.
- name String
The resource name for the DicomStore. ** Changing this property may recreate the Dicom store (removing all data) **
- notification
Config DicomStore Notification Config A nested object resource Structure is documented below.
- stream
Configs List<DicomStore Stream Config> To enable streaming to BigQuery, configure the streamConfigs object in your DICOM store. streamConfigs is an array, so you can specify multiple BigQuery destinations. You can stream metadata from a single DICOM store to up to five BigQuery tables in a BigQuery dataset. Structure is documented below.
- dataset string
Identifies the dataset addressed by this request. Must be in the format 'projects/{project}/locations/{location}/datasets/{dataset}'
- labels {[key: string]: string}
User-supplied key-value pairs used to organize DICOM stores. Label keys must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}][\p{Ll}\p{Lo}\p{N}-]{0,62} Label values are optional, must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}\p{N}-]{0,63} No more than 64 labels can be associated with a given store. An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" }.
- name string
The resource name for the DicomStore. ** Changing this property may recreate the Dicom store (removing all data) **
- notification
Config DicomStore Notification Config A nested object resource Structure is documented below.
- stream
Configs DicomStore Stream Config[] To enable streaming to BigQuery, configure the streamConfigs object in your DICOM store. streamConfigs is an array, so you can specify multiple BigQuery destinations. You can stream metadata from a single DICOM store to up to five BigQuery tables in a BigQuery dataset. Structure is documented below.
- dataset str
Identifies the dataset addressed by this request. Must be in the format 'projects/{project}/locations/{location}/datasets/{dataset}'
- labels Mapping[str, str]
User-supplied key-value pairs used to organize DICOM stores. Label keys must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}][\p{Ll}\p{Lo}\p{N}-]{0,62} Label values are optional, must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}\p{N}-]{0,63} No more than 64 labels can be associated with a given store. An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" }.
- name str
The resource name for the DicomStore. ** Changing this property may recreate the Dicom store (removing all data) **
- notification_
config DicomStore Notification Config Args A nested object resource Structure is documented below.
- stream_
configs Sequence[DicomStore Stream Config Args] To enable streaming to BigQuery, configure the streamConfigs object in your DICOM store. streamConfigs is an array, so you can specify multiple BigQuery destinations. You can stream metadata from a single DICOM store to up to five BigQuery tables in a BigQuery dataset. Structure is documented below.
- dataset String
Identifies the dataset addressed by this request. Must be in the format 'projects/{project}/locations/{location}/datasets/{dataset}'
- labels Map<String>
User-supplied key-value pairs used to organize DICOM stores. Label keys must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}][\p{Ll}\p{Lo}\p{N}-]{0,62} Label values are optional, must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}\p{N}-]{0,63} No more than 64 labels can be associated with a given store. An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" }.
- name String
The resource name for the DicomStore. ** Changing this property may recreate the Dicom store (removing all data) **
- notification
Config Property Map A nested object resource Structure is documented below.
- stream
Configs List<Property Map> To enable streaming to BigQuery, configure the streamConfigs object in your DICOM store. streamConfigs is an array, so you can specify multiple BigQuery destinations. You can stream metadata from a single DICOM store to up to five BigQuery tables in a BigQuery dataset. Structure is documented below.
Outputs
All input properties are implicitly available as output properties. Additionally, the DicomStore resource produces the following output properties:
Look up Existing DicomStore Resource
Get an existing DicomStore 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?: DicomStoreState, opts?: CustomResourceOptions): DicomStore
@staticmethod
def get(resource_name: str,
id: str,
opts: Optional[ResourceOptions] = None,
dataset: Optional[str] = None,
labels: Optional[Mapping[str, str]] = None,
name: Optional[str] = None,
notification_config: Optional[DicomStoreNotificationConfigArgs] = None,
self_link: Optional[str] = None,
stream_configs: Optional[Sequence[DicomStoreStreamConfigArgs]] = None) -> DicomStore
func GetDicomStore(ctx *Context, name string, id IDInput, state *DicomStoreState, opts ...ResourceOption) (*DicomStore, error)
public static DicomStore Get(string name, Input<string> id, DicomStoreState? state, CustomResourceOptions? opts = null)
public static DicomStore get(String name, Output<String> id, DicomStoreState state, CustomResourceOptions options)
Resource lookup is not supported in YAML
- 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.
- Dataset string
Identifies the dataset addressed by this request. Must be in the format 'projects/{project}/locations/{location}/datasets/{dataset}'
- Labels Dictionary<string, string>
User-supplied key-value pairs used to organize DICOM stores. Label keys must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}][\p{Ll}\p{Lo}\p{N}-]{0,62} Label values are optional, must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}\p{N}-]{0,63} No more than 64 labels can be associated with a given store. An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" }.
- Name string
The resource name for the DicomStore. ** Changing this property may recreate the Dicom store (removing all data) **
- Notification
Config DicomStore Notification Config A nested object resource Structure is documented below.
- Self
Link string The fully qualified name of this dataset
- Stream
Configs List<DicomStore Stream Config> To enable streaming to BigQuery, configure the streamConfigs object in your DICOM store. streamConfigs is an array, so you can specify multiple BigQuery destinations. You can stream metadata from a single DICOM store to up to five BigQuery tables in a BigQuery dataset. Structure is documented below.
- Dataset string
Identifies the dataset addressed by this request. Must be in the format 'projects/{project}/locations/{location}/datasets/{dataset}'
- Labels map[string]string
User-supplied key-value pairs used to organize DICOM stores. Label keys must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}][\p{Ll}\p{Lo}\p{N}-]{0,62} Label values are optional, must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}\p{N}-]{0,63} No more than 64 labels can be associated with a given store. An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" }.
- Name string
The resource name for the DicomStore. ** Changing this property may recreate the Dicom store (removing all data) **
- Notification
Config DicomStore Notification Config Args A nested object resource Structure is documented below.
- Self
Link string The fully qualified name of this dataset
- Stream
Configs []DicomStore Stream Config Args To enable streaming to BigQuery, configure the streamConfigs object in your DICOM store. streamConfigs is an array, so you can specify multiple BigQuery destinations. You can stream metadata from a single DICOM store to up to five BigQuery tables in a BigQuery dataset. Structure is documented below.
- dataset String
Identifies the dataset addressed by this request. Must be in the format 'projects/{project}/locations/{location}/datasets/{dataset}'
- labels Map<String,String>
User-supplied key-value pairs used to organize DICOM stores. Label keys must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}][\p{Ll}\p{Lo}\p{N}-]{0,62} Label values are optional, must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}\p{N}-]{0,63} No more than 64 labels can be associated with a given store. An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" }.
- name String
The resource name for the DicomStore. ** Changing this property may recreate the Dicom store (removing all data) **
- notification
Config DicomStore Notification Config A nested object resource Structure is documented below.
- self
Link String The fully qualified name of this dataset
- stream
Configs List<DicomStore Stream Config> To enable streaming to BigQuery, configure the streamConfigs object in your DICOM store. streamConfigs is an array, so you can specify multiple BigQuery destinations. You can stream metadata from a single DICOM store to up to five BigQuery tables in a BigQuery dataset. Structure is documented below.
- dataset string
Identifies the dataset addressed by this request. Must be in the format 'projects/{project}/locations/{location}/datasets/{dataset}'
- labels {[key: string]: string}
User-supplied key-value pairs used to organize DICOM stores. Label keys must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}][\p{Ll}\p{Lo}\p{N}-]{0,62} Label values are optional, must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}\p{N}-]{0,63} No more than 64 labels can be associated with a given store. An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" }.
- name string
The resource name for the DicomStore. ** Changing this property may recreate the Dicom store (removing all data) **
- notification
Config DicomStore Notification Config A nested object resource Structure is documented below.
- self
Link string The fully qualified name of this dataset
- stream
Configs DicomStore Stream Config[] To enable streaming to BigQuery, configure the streamConfigs object in your DICOM store. streamConfigs is an array, so you can specify multiple BigQuery destinations. You can stream metadata from a single DICOM store to up to five BigQuery tables in a BigQuery dataset. Structure is documented below.
- dataset str
Identifies the dataset addressed by this request. Must be in the format 'projects/{project}/locations/{location}/datasets/{dataset}'
- labels Mapping[str, str]
User-supplied key-value pairs used to organize DICOM stores. Label keys must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}][\p{Ll}\p{Lo}\p{N}-]{0,62} Label values are optional, must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}\p{N}-]{0,63} No more than 64 labels can be associated with a given store. An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" }.
- name str
The resource name for the DicomStore. ** Changing this property may recreate the Dicom store (removing all data) **
- notification_
config DicomStore Notification Config Args A nested object resource Structure is documented below.
- self_
link str The fully qualified name of this dataset
- stream_
configs Sequence[DicomStore Stream Config Args] To enable streaming to BigQuery, configure the streamConfigs object in your DICOM store. streamConfigs is an array, so you can specify multiple BigQuery destinations. You can stream metadata from a single DICOM store to up to five BigQuery tables in a BigQuery dataset. Structure is documented below.
- dataset String
Identifies the dataset addressed by this request. Must be in the format 'projects/{project}/locations/{location}/datasets/{dataset}'
- labels Map<String>
User-supplied key-value pairs used to organize DICOM stores. Label keys must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}][\p{Ll}\p{Lo}\p{N}-]{0,62} Label values are optional, must be between 1 and 63 characters long, have a UTF-8 encoding of maximum 128 bytes, and must conform to the following PCRE regular expression: [\p{Ll}\p{Lo}\p{N}-]{0,63} No more than 64 labels can be associated with a given store. An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" }.
- name String
The resource name for the DicomStore. ** Changing this property may recreate the Dicom store (removing all data) **
- notification
Config Property Map A nested object resource Structure is documented below.
- self
Link String The fully qualified name of this dataset
- stream
Configs List<Property Map> To enable streaming to BigQuery, configure the streamConfigs object in your DICOM store. streamConfigs is an array, so you can specify multiple BigQuery destinations. You can stream metadata from a single DICOM store to up to five BigQuery tables in a BigQuery dataset. Structure is documented below.
Supporting Types
DicomStoreNotificationConfig, DicomStoreNotificationConfigArgs
- Pubsub
Topic string The Cloud Pub/Sub topic that notifications of changes are published on. Supplied by the client. PubsubMessage.Data will contain the resource name. PubsubMessage.MessageId is the ID of this message. It is guaranteed to be unique within the topic. PubsubMessage.PublishTime is the time at which the message was published. Notifications are only sent if the topic is non-empty. Topic names must be scoped to a project. service-PROJECT_NUMBER@gcp-sa-healthcare.iam.gserviceaccount.com must have publisher permissions on the given Cloud Pub/Sub topic. Not having adequate permissions will cause the calls that send notifications to fail.
- Pubsub
Topic string The Cloud Pub/Sub topic that notifications of changes are published on. Supplied by the client. PubsubMessage.Data will contain the resource name. PubsubMessage.MessageId is the ID of this message. It is guaranteed to be unique within the topic. PubsubMessage.PublishTime is the time at which the message was published. Notifications are only sent if the topic is non-empty. Topic names must be scoped to a project. service-PROJECT_NUMBER@gcp-sa-healthcare.iam.gserviceaccount.com must have publisher permissions on the given Cloud Pub/Sub topic. Not having adequate permissions will cause the calls that send notifications to fail.
- pubsub
Topic String The Cloud Pub/Sub topic that notifications of changes are published on. Supplied by the client. PubsubMessage.Data will contain the resource name. PubsubMessage.MessageId is the ID of this message. It is guaranteed to be unique within the topic. PubsubMessage.PublishTime is the time at which the message was published. Notifications are only sent if the topic is non-empty. Topic names must be scoped to a project. service-PROJECT_NUMBER@gcp-sa-healthcare.iam.gserviceaccount.com must have publisher permissions on the given Cloud Pub/Sub topic. Not having adequate permissions will cause the calls that send notifications to fail.
- pubsub
Topic string The Cloud Pub/Sub topic that notifications of changes are published on. Supplied by the client. PubsubMessage.Data will contain the resource name. PubsubMessage.MessageId is the ID of this message. It is guaranteed to be unique within the topic. PubsubMessage.PublishTime is the time at which the message was published. Notifications are only sent if the topic is non-empty. Topic names must be scoped to a project. service-PROJECT_NUMBER@gcp-sa-healthcare.iam.gserviceaccount.com must have publisher permissions on the given Cloud Pub/Sub topic. Not having adequate permissions will cause the calls that send notifications to fail.
- pubsub_
topic str The Cloud Pub/Sub topic that notifications of changes are published on. Supplied by the client. PubsubMessage.Data will contain the resource name. PubsubMessage.MessageId is the ID of this message. It is guaranteed to be unique within the topic. PubsubMessage.PublishTime is the time at which the message was published. Notifications are only sent if the topic is non-empty. Topic names must be scoped to a project. service-PROJECT_NUMBER@gcp-sa-healthcare.iam.gserviceaccount.com must have publisher permissions on the given Cloud Pub/Sub topic. Not having adequate permissions will cause the calls that send notifications to fail.
- pubsub
Topic String The Cloud Pub/Sub topic that notifications of changes are published on. Supplied by the client. PubsubMessage.Data will contain the resource name. PubsubMessage.MessageId is the ID of this message. It is guaranteed to be unique within the topic. PubsubMessage.PublishTime is the time at which the message was published. Notifications are only sent if the topic is non-empty. Topic names must be scoped to a project. service-PROJECT_NUMBER@gcp-sa-healthcare.iam.gserviceaccount.com must have publisher permissions on the given Cloud Pub/Sub topic. Not having adequate permissions will cause the calls that send notifications to fail.
DicomStoreStreamConfig, DicomStoreStreamConfigArgs
- Bigquery
Destination DicomStore Stream Config Bigquery Destination BigQueryDestination to include a fully qualified BigQuery table URI where DICOM instance metadata will be streamed. Structure is documented below.
- Bigquery
Destination DicomStore Stream Config Bigquery Destination BigQueryDestination to include a fully qualified BigQuery table URI where DICOM instance metadata will be streamed. Structure is documented below.
- bigquery
Destination DicomStore Stream Config Bigquery Destination BigQueryDestination to include a fully qualified BigQuery table URI where DICOM instance metadata will be streamed. Structure is documented below.
- bigquery
Destination DicomStore Stream Config Bigquery Destination BigQueryDestination to include a fully qualified BigQuery table URI where DICOM instance metadata will be streamed. Structure is documented below.
- bigquery_
destination DicomStore Stream Config Bigquery Destination BigQueryDestination to include a fully qualified BigQuery table URI where DICOM instance metadata will be streamed. Structure is documented below.
- bigquery
Destination Property Map BigQueryDestination to include a fully qualified BigQuery table URI where DICOM instance metadata will be streamed. Structure is documented below.
DicomStoreStreamConfigBigqueryDestination, DicomStoreStreamConfigBigqueryDestinationArgs
- Table
Uri string a fully qualified BigQuery table URI where DICOM instance metadata will be streamed.
- Table
Uri string a fully qualified BigQuery table URI where DICOM instance metadata will be streamed.
- table
Uri String a fully qualified BigQuery table URI where DICOM instance metadata will be streamed.
- table
Uri string a fully qualified BigQuery table URI where DICOM instance metadata will be streamed.
- table_
uri str a fully qualified BigQuery table URI where DICOM instance metadata will be streamed.
- table
Uri String a fully qualified BigQuery table URI where DICOM instance metadata will be streamed.
Import
DicomStore can be imported using any of these accepted formats
$ pulumi import gcp:healthcare/dicomStore:DicomStore default {{dataset}}/dicomStores/{{name}}
$ pulumi import gcp:healthcare/dicomStore:DicomStore default {{dataset}}/{{name}}
Package Details
- Repository
- Google Cloud (GCP) Classic pulumi/pulumi-gcp
- License
- Apache-2.0
- Notes
This Pulumi package is based on the
google-beta
Terraform Provider.