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  5. DatasetAccess
Google Cloud Classic v8.9.3 published on Monday, Nov 18, 2024 by Pulumi
pulumi/pulumi-gcp

gcp.bigquery.DatasetAccess

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Google Cloud Classic v8.9.3 published on Monday, Nov 18, 2024 by Pulumi
pulumi/pulumi-gcp

    Example Usage

    Bigquery Dataset Access Basic User

    import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const dataset = new gcp.bigquery.Dataset("dataset", {datasetId: "example_dataset"});
const bqowner = new gcp.serviceaccount.Account("bqowner", {accountId: "bqowner"});
const access = new gcp.bigquery.DatasetAccess("access", {
    datasetId: dataset.datasetId,
    role: "OWNER",
    userByEmail: bqowner.email,
});

    import pulumi
import pulumi_gcp as gcp

dataset = gcp.bigquery.Dataset("dataset", dataset_id="example_dataset")
bqowner = gcp.serviceaccount.Account("bqowner", account_id="bqowner")
access = gcp.bigquery.DatasetAccess("access",
    dataset_id=dataset.dataset_id,
    role="OWNER",
    user_by_email=bqowner.email)

    package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/bigquery"
	"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/serviceaccount"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		dataset, err := bigquery.NewDataset(ctx, "dataset", &bigquery.DatasetArgs{
			DatasetId: pulumi.String("example_dataset"),
		})
		if err != nil {
			return err
		}
		bqowner, err := serviceaccount.NewAccount(ctx, "bqowner", &serviceaccount.AccountArgs{
			AccountId: pulumi.String("bqowner"),
		})
		if err != nil {
			return err
		}
		_, err = bigquery.NewDatasetAccess(ctx, "access", &bigquery.DatasetAccessArgs{
			DatasetId:   dataset.DatasetId,
			Role:        pulumi.String("OWNER"),
			UserByEmail: bqowner.Email,
		})
		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 dataset = new Gcp.BigQuery.Dataset("dataset", new()
    {
        DatasetId = "example_dataset",
    });

    var bqowner = new Gcp.ServiceAccount.Account("bqowner", new()
    {
        AccountId = "bqowner",
    });

    var access = new Gcp.BigQuery.DatasetAccess("access", new()
    {
        DatasetId = dataset.DatasetId,
        Role = "OWNER",
        UserByEmail = bqowner.Email,
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.bigquery.Dataset;
import com.pulumi.gcp.bigquery.DatasetArgs;
import com.pulumi.gcp.serviceaccount.Account;
import com.pulumi.gcp.serviceaccount.AccountArgs;
import com.pulumi.gcp.bigquery.DatasetAccess;
import com.pulumi.gcp.bigquery.DatasetAccessArgs;
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 dataset = new Dataset("dataset", DatasetArgs.builder()
            .datasetId("example_dataset")
            .build());

        var bqowner = new Account("bqowner", AccountArgs.builder()
            .accountId("bqowner")
            .build());

        var access = new DatasetAccess("access", DatasetAccessArgs.builder()
            .datasetId(dataset.datasetId())
            .role("OWNER")
            .userByEmail(bqowner.email())
            .build());

    }
}

    resources:
  access:
    type: gcp:bigquery:DatasetAccess
    properties:
      datasetId: ${dataset.datasetId}
      role: OWNER
      userByEmail: ${bqowner.email}
  dataset:
    type: gcp:bigquery:Dataset
    properties:
      datasetId: example_dataset
  bqowner:
    type: gcp:serviceaccount:Account
    properties:
      accountId: bqowner

    Bigquery Dataset Access View

    import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const _private = new gcp.bigquery.Dataset("private", {datasetId: "example_dataset"});
const _public = new gcp.bigquery.Dataset("public", {datasetId: "example_dataset2"});
const publicTable = new gcp.bigquery.Table("public", {
    deletionProtection: false,
    datasetId: _public.datasetId,
    tableId: "example_table",
    view: {
        query: "SELECT state FROM [lookerdata:cdc.project_tycho_reports]",
        useLegacySql: false,
    },
});
const access = new gcp.bigquery.DatasetAccess("access", {
    datasetId: _private.datasetId,
    view: {
        projectId: publicTable.project,
        datasetId: _public.datasetId,
        tableId: publicTable.tableId,
    },
});

    import pulumi
import pulumi_gcp as gcp

private = gcp.bigquery.Dataset("private", dataset_id="example_dataset")
public = gcp.bigquery.Dataset("public", dataset_id="example_dataset2")
public_table = gcp.bigquery.Table("public",
    deletion_protection=False,
    dataset_id=public.dataset_id,
    table_id="example_table",
    view={
        "query": "SELECT state FROM [lookerdata:cdc.project_tycho_reports]",
        "use_legacy_sql": False,
    })
access = gcp.bigquery.DatasetAccess("access",
    dataset_id=private.dataset_id,
    view={
        "project_id": public_table.project,
        "dataset_id": public.dataset_id,
        "table_id": public_table.table_id,
    })

    package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/bigquery"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		private, err := bigquery.NewDataset(ctx, "private", &bigquery.DatasetArgs{
			DatasetId: pulumi.String("example_dataset"),
		})
		if err != nil {
			return err
		}
		public, err := bigquery.NewDataset(ctx, "public", &bigquery.DatasetArgs{
			DatasetId: pulumi.String("example_dataset2"),
		})
		if err != nil {
			return err
		}
		publicTable, err := bigquery.NewTable(ctx, "public", &bigquery.TableArgs{
			DeletionProtection: pulumi.Bool(false),
			DatasetId:          public.DatasetId,
			TableId:            pulumi.String("example_table"),
			View: &bigquery.TableViewArgs{
				Query:        pulumi.String("SELECT state FROM [lookerdata:cdc.project_tycho_reports]"),
				UseLegacySql: pulumi.Bool(false),
			},
		})
		if err != nil {
			return err
		}
		_, err = bigquery.NewDatasetAccess(ctx, "access", &bigquery.DatasetAccessArgs{
			DatasetId: private.DatasetId,
			View: &bigquery.DatasetAccessViewArgs{
				ProjectId: publicTable.Project,
				DatasetId: public.DatasetId,
				TableId:   publicTable.TableId,
			},
		})
		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 @private = new Gcp.BigQuery.Dataset("private", new()
    {
        DatasetId = "example_dataset",
    });

    var @public = new Gcp.BigQuery.Dataset("public", new()
    {
        DatasetId = "example_dataset2",
    });

    var publicTable = new Gcp.BigQuery.Table("public", new()
    {
        DeletionProtection = false,
        DatasetId = @public.DatasetId,
        TableId = "example_table",
        View = new Gcp.BigQuery.Inputs.TableViewArgs
        {
            Query = "SELECT state FROM [lookerdata:cdc.project_tycho_reports]",
            UseLegacySql = false,
        },
    });

    var access = new Gcp.BigQuery.DatasetAccess("access", new()
    {
        DatasetId = @private.DatasetId,
        View = new Gcp.BigQuery.Inputs.DatasetAccessViewArgs
        {
            ProjectId = publicTable.Project,
            DatasetId = @public.DatasetId,
            TableId = publicTable.TableId,
        },
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
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.bigquery.inputs.TableViewArgs;
import com.pulumi.gcp.bigquery.DatasetAccess;
import com.pulumi.gcp.bigquery.DatasetAccessArgs;
import com.pulumi.gcp.bigquery.inputs.DatasetAccessViewArgs;
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 private_ = new Dataset("private", DatasetArgs.builder()
            .datasetId("example_dataset")
            .build());

        var public_ = new Dataset("public", DatasetArgs.builder()
            .datasetId("example_dataset2")
            .build());

        var publicTable = new Table("publicTable", TableArgs.builder()
            .deletionProtection(false)
            .datasetId(public_.datasetId())
            .tableId("example_table")
            .view(TableViewArgs.builder()
                .query("SELECT state FROM [lookerdata:cdc.project_tycho_reports]")
                .useLegacySql(false)
                .build())
            .build());

        var access = new DatasetAccess("access", DatasetAccessArgs.builder()
            .datasetId(private_.datasetId())
            .view(DatasetAccessViewArgs.builder()
                .projectId(publicTable.project())
                .datasetId(public_.datasetId())
                .tableId(publicTable.tableId())
                .build())
            .build());

    }
}

    resources:
  access:
    type: gcp:bigquery:DatasetAccess
    properties:
      datasetId: ${private.datasetId}
      view:
        projectId: ${publicTable.project}
        datasetId: ${public.datasetId}
        tableId: ${publicTable.tableId}
  private:
    type: gcp:bigquery:Dataset
    properties:
      datasetId: example_dataset
  public:
    type: gcp:bigquery:Dataset
    properties:
      datasetId: example_dataset2
  publicTable:
    type: gcp:bigquery:Table
    name: public
    properties:
      deletionProtection: false
      datasetId: ${public.datasetId}
      tableId: example_table
      view:
        query: SELECT state FROM [lookerdata:cdc.project_tycho_reports]
        useLegacySql: false

    Bigquery Dataset Access Authorized Dataset

    import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const _private = new gcp.bigquery.Dataset("private", {datasetId: "private"});
const _public = new gcp.bigquery.Dataset("public", {datasetId: "public"});
const access = new gcp.bigquery.DatasetAccess("access", {
    datasetId: _private.datasetId,
    authorizedDataset: {
        dataset: {
            projectId: _public.project,
            datasetId: _public.datasetId,
        },
        targetTypes: ["VIEWS"],
    },
});

    import pulumi
import pulumi_gcp as gcp

private = gcp.bigquery.Dataset("private", dataset_id="private")
public = gcp.bigquery.Dataset("public", dataset_id="public")
access = gcp.bigquery.DatasetAccess("access",
    dataset_id=private.dataset_id,
    authorized_dataset={
        "dataset": {
            "project_id": public.project,
            "dataset_id": public.dataset_id,
        },
        "target_types": ["VIEWS"],
    })

    package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/bigquery"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		private, err := bigquery.NewDataset(ctx, "private", &bigquery.DatasetArgs{
			DatasetId: pulumi.String("private"),
		})
		if err != nil {
			return err
		}
		public, err := bigquery.NewDataset(ctx, "public", &bigquery.DatasetArgs{
			DatasetId: pulumi.String("public"),
		})
		if err != nil {
			return err
		}
		_, err = bigquery.NewDatasetAccess(ctx, "access", &bigquery.DatasetAccessArgs{
			DatasetId: private.DatasetId,
			AuthorizedDataset: &bigquery.DatasetAccessAuthorizedDatasetArgs{
				Dataset: &bigquery.DatasetAccessAuthorizedDatasetDatasetArgs{
					ProjectId: public.Project,
					DatasetId: public.DatasetId,
				},
				TargetTypes: pulumi.StringArray{
					pulumi.String("VIEWS"),
				},
			},
		})
		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 @private = new Gcp.BigQuery.Dataset("private", new()
    {
        DatasetId = "private",
    });

    var @public = new Gcp.BigQuery.Dataset("public", new()
    {
        DatasetId = "public",
    });

    var access = new Gcp.BigQuery.DatasetAccess("access", new()
    {
        DatasetId = @private.DatasetId,
        AuthorizedDataset = new Gcp.BigQuery.Inputs.DatasetAccessAuthorizedDatasetArgs
        {
            Dataset = new Gcp.BigQuery.Inputs.DatasetAccessAuthorizedDatasetDatasetArgs
            {
                ProjectId = @public.Project,
                DatasetId = @public.DatasetId,
            },
            TargetTypes = new[]
            {
                "VIEWS",
            },
        },
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.bigquery.Dataset;
import com.pulumi.gcp.bigquery.DatasetArgs;
import com.pulumi.gcp.bigquery.DatasetAccess;
import com.pulumi.gcp.bigquery.DatasetAccessArgs;
import com.pulumi.gcp.bigquery.inputs.DatasetAccessAuthorizedDatasetArgs;
import com.pulumi.gcp.bigquery.inputs.DatasetAccessAuthorizedDatasetDatasetArgs;
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 private_ = new Dataset("private", DatasetArgs.builder()
            .datasetId("private")
            .build());

        var public_ = new Dataset("public", DatasetArgs.builder()
            .datasetId("public")
            .build());

        var access = new DatasetAccess("access", DatasetAccessArgs.builder()
            .datasetId(private_.datasetId())
            .authorizedDataset(DatasetAccessAuthorizedDatasetArgs.builder()
                .dataset(DatasetAccessAuthorizedDatasetDatasetArgs.builder()
                    .projectId(public_.project())
                    .datasetId(public_.datasetId())
                    .build())
                .targetTypes("VIEWS")
                .build())
            .build());

    }
}

    resources:
  access:
    type: gcp:bigquery:DatasetAccess
    properties:
      datasetId: ${private.datasetId}
      authorizedDataset:
        dataset:
          projectId: ${public.project}
          datasetId: ${public.datasetId}
        targetTypes:
          - VIEWS
  private:
    type: gcp:bigquery:Dataset
    properties:
      datasetId: private
  public:
    type: gcp:bigquery:Dataset
    properties:
      datasetId: public

    Bigquery Dataset Access Authorized Routine

    import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const _public = new gcp.bigquery.Dataset("public", {
    datasetId: "public_dataset",
    description: "This dataset is public",
});
const publicRoutine = new gcp.bigquery.Routine("public", {
    datasetId: _public.datasetId,
    routineId: "public_routine",
    routineType: "TABLE_VALUED_FUNCTION",
    language: "SQL",
    definitionBody: "SELECT 1 + value AS value\n",
    arguments: [{
        name: "value",
        argumentKind: "FIXED_TYPE",
        dataType: JSON.stringify({
            typeKind: "INT64",
        }),
    }],
    returnTableType: JSON.stringify({
        columns: [{
            name: "value",
            type: {
                typeKind: "INT64",
            },
        }],
    }),
});
const _private = new gcp.bigquery.Dataset("private", {
    datasetId: "private_dataset",
    description: "This dataset is private",
});
const authorizedRoutine = new gcp.bigquery.DatasetAccess("authorized_routine", {
    datasetId: _private.datasetId,
    routine: {
        projectId: publicRoutine.project,
        datasetId: publicRoutine.datasetId,
        routineId: publicRoutine.routineId,
    },
});

    import pulumi
import json
import pulumi_gcp as gcp

public = gcp.bigquery.Dataset("public",
    dataset_id="public_dataset",
    description="This dataset is public")
public_routine = gcp.bigquery.Routine("public",
    dataset_id=public.dataset_id,
    routine_id="public_routine",
    routine_type="TABLE_VALUED_FUNCTION",
    language="SQL",
    definition_body="SELECT 1 + value AS value\n",
    arguments=[{
        "name": "value",
        "argument_kind": "FIXED_TYPE",
        "data_type": json.dumps({
            "typeKind": "INT64",
        }),
    }],
    return_table_type=json.dumps({
        "columns": [{
            "name": "value",
            "type": {
                "typeKind": "INT64",
            },
        }],
    }))
private = gcp.bigquery.Dataset("private",
    dataset_id="private_dataset",
    description="This dataset is private")
authorized_routine = gcp.bigquery.DatasetAccess("authorized_routine",
    dataset_id=private.dataset_id,
    routine={
        "project_id": public_routine.project,
        "dataset_id": public_routine.dataset_id,
        "routine_id": public_routine.routine_id,
    })

    package main

import (
	"encoding/json"

	"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/bigquery"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		public, err := bigquery.NewDataset(ctx, "public", &bigquery.DatasetArgs{
			DatasetId:   pulumi.String("public_dataset"),
			Description: pulumi.String("This dataset is public"),
		})
		if err != nil {
			return err
		}
		tmpJSON0, err := json.Marshal(map[string]interface{}{
			"typeKind": "INT64",
		})
		if err != nil {
			return err
		}
		json0 := string(tmpJSON0)
		tmpJSON1, err := json.Marshal(map[string]interface{}{
			"columns": []map[string]interface{}{
				map[string]interface{}{
					"name": "value",
					"type": map[string]interface{}{
						"typeKind": "INT64",
					},
				},
			},
		})
		if err != nil {
			return err
		}
		json1 := string(tmpJSON1)
		publicRoutine, err := bigquery.NewRoutine(ctx, "public", &bigquery.RoutineArgs{
			DatasetId:      public.DatasetId,
			RoutineId:      pulumi.String("public_routine"),
			RoutineType:    pulumi.String("TABLE_VALUED_FUNCTION"),
			Language:       pulumi.String("SQL"),
			DefinitionBody: pulumi.String("SELECT 1 + value AS value\n"),
			Arguments: bigquery.RoutineArgumentArray{
				&bigquery.RoutineArgumentArgs{
					Name:         pulumi.String("value"),
					ArgumentKind: pulumi.String("FIXED_TYPE"),
					DataType:     pulumi.String(json0),
				},
			},
			ReturnTableType: pulumi.String(json1),
		})
		if err != nil {
			return err
		}
		private, err := bigquery.NewDataset(ctx, "private", &bigquery.DatasetArgs{
			DatasetId:   pulumi.String("private_dataset"),
			Description: pulumi.String("This dataset is private"),
		})
		if err != nil {
			return err
		}
		_, err = bigquery.NewDatasetAccess(ctx, "authorized_routine", &bigquery.DatasetAccessArgs{
			DatasetId: private.DatasetId,
			Routine: &bigquery.DatasetAccessRoutineArgs{
				ProjectId: publicRoutine.Project,
				DatasetId: publicRoutine.DatasetId,
				RoutineId: publicRoutine.RoutineId,
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

    using System.Collections.Generic;
using System.Linq;
using System.Text.Json;
using Pulumi;
using Gcp = Pulumi.Gcp;

return await Deployment.RunAsync(() => 
{
    var @public = new Gcp.BigQuery.Dataset("public", new()
    {
        DatasetId = "public_dataset",
        Description = "This dataset is public",
    });

    var publicRoutine = new Gcp.BigQuery.Routine("public", new()
    {
        DatasetId = @public.DatasetId,
        RoutineId = "public_routine",
        RoutineType = "TABLE_VALUED_FUNCTION",
        Language = "SQL",
        DefinitionBody = @"SELECT 1 + value AS value
",
        Arguments = new[]
        {
            new Gcp.BigQuery.Inputs.RoutineArgumentArgs
            {
                Name = "value",
                ArgumentKind = "FIXED_TYPE",
                DataType = JsonSerializer.Serialize(new Dictionary<string, object?>
                {
                    ["typeKind"] = "INT64",
                }),
            },
        },
        ReturnTableType = JsonSerializer.Serialize(new Dictionary<string, object?>
        {
            ["columns"] = new[]
            {
                new Dictionary<string, object?>
                {
                    ["name"] = "value",
                    ["type"] = new Dictionary<string, object?>
                    {
                        ["typeKind"] = "INT64",
                    },
                },
            },
        }),
    });

    var @private = new Gcp.BigQuery.Dataset("private", new()
    {
        DatasetId = "private_dataset",
        Description = "This dataset is private",
    });

    var authorizedRoutine = new Gcp.BigQuery.DatasetAccess("authorized_routine", new()
    {
        DatasetId = @private.DatasetId,
        Routine = new Gcp.BigQuery.Inputs.DatasetAccessRoutineArgs
        {
            ProjectId = publicRoutine.Project,
            DatasetId = publicRoutine.DatasetId,
            RoutineId = publicRoutine.RoutineId,
        },
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.bigquery.Dataset;
import com.pulumi.gcp.bigquery.DatasetArgs;
import com.pulumi.gcp.bigquery.Routine;
import com.pulumi.gcp.bigquery.RoutineArgs;
import com.pulumi.gcp.bigquery.inputs.RoutineArgumentArgs;
import com.pulumi.gcp.bigquery.DatasetAccess;
import com.pulumi.gcp.bigquery.DatasetAccessArgs;
import com.pulumi.gcp.bigquery.inputs.DatasetAccessRoutineArgs;
import static com.pulumi.codegen.internal.Serialization.*;
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 public_ = new Dataset("public", DatasetArgs.builder()
            .datasetId("public_dataset")
            .description("This dataset is public")
            .build());

        var publicRoutine = new Routine("publicRoutine", RoutineArgs.builder()
            .datasetId(public_.datasetId())
            .routineId("public_routine")
            .routineType("TABLE_VALUED_FUNCTION")
            .language("SQL")
            .definitionBody("""
SELECT 1 + value AS value
            """)
            .arguments(RoutineArgumentArgs.builder()
                .name("value")
                .argumentKind("FIXED_TYPE")
                .dataType(serializeJson(
                    jsonObject(
                        jsonProperty("typeKind", "INT64")
                    )))
                .build())
            .returnTableType(serializeJson(
                jsonObject(
                    jsonProperty("columns", jsonArray(jsonObject(
                        jsonProperty("name", "value"),
                        jsonProperty("type", jsonObject(
                            jsonProperty("typeKind", "INT64")
                        ))
                    )))
                )))
            .build());

        var private_ = new Dataset("private", DatasetArgs.builder()
            .datasetId("private_dataset")
            .description("This dataset is private")
            .build());

        var authorizedRoutine = new DatasetAccess("authorizedRoutine", DatasetAccessArgs.builder()
            .datasetId(private_.datasetId())
            .routine(DatasetAccessRoutineArgs.builder()
                .projectId(publicRoutine.project())
                .datasetId(publicRoutine.datasetId())
                .routineId(publicRoutine.routineId())
                .build())
            .build());

    }
}

    resources:
  public:
    type: gcp:bigquery:Dataset
    properties:
      datasetId: public_dataset
      description: This dataset is public
  publicRoutine:
    type: gcp:bigquery:Routine
    name: public
    properties:
      datasetId: ${public.datasetId}
      routineId: public_routine
      routineType: TABLE_VALUED_FUNCTION
      language: SQL
      definitionBody: |
        SELECT 1 + value AS value        
      arguments:
        - name: value
          argumentKind: FIXED_TYPE
          dataType:
            fn::toJSON:
              typeKind: INT64
      returnTableType:
        fn::toJSON:
          columns:
            - name: value
              type:
                typeKind: INT64
  private:
    type: gcp:bigquery:Dataset
    properties:
      datasetId: private_dataset
      description: This dataset is private
  authorizedRoutine:
    type: gcp:bigquery:DatasetAccess
    name: authorized_routine
    properties:
      datasetId: ${private.datasetId}
      routine:
        projectId: ${publicRoutine.project}
        datasetId: ${publicRoutine.datasetId}
        routineId: ${publicRoutine.routineId}

    Create DatasetAccess Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new DatasetAccess(name: string, args: DatasetAccessArgs, opts?: CustomResourceOptions);
    @overload
def DatasetAccess(resource_name: str,
                  args: DatasetAccessInitArgs,
                  opts: Optional[ResourceOptions] = None)

@overload
def DatasetAccess(resource_name: str,
                  opts: Optional[ResourceOptions] = None,
                  dataset_id: Optional[str] = None,
                  authorized_dataset: Optional[DatasetAccessAuthorizedDatasetArgs] = None,
                  domain: Optional[str] = None,
                  group_by_email: Optional[str] = None,
                  iam_member: Optional[str] = None,
                  project: Optional[str] = None,
                  role: Optional[str] = None,
                  routine: Optional[DatasetAccessRoutineArgs] = None,
                  special_group: Optional[str] = None,
                  user_by_email: Optional[str] = None,
                  view: Optional[DatasetAccessViewArgs] = None)
    func NewDatasetAccess(ctx *Context, name string, args DatasetAccessArgs, opts ...ResourceOption) (*DatasetAccess, error)
    public DatasetAccess(string name, DatasetAccessArgs args, CustomResourceOptions? opts = null)
    public DatasetAccess(String name, DatasetAccessArgs args)
public DatasetAccess(String name, DatasetAccessArgs args, CustomResourceOptions options)

    type: gcp:bigquery:DatasetAccess
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 DatasetAccessArgs
    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 DatasetAccessInitArgs
    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 DatasetAccessArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args DatasetAccessArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args DatasetAccessArgs
    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 datasetAccessResource = new Gcp.BigQuery.DatasetAccess("datasetAccessResource", new()
{
    DatasetId = "string",
    AuthorizedDataset = new Gcp.BigQuery.Inputs.DatasetAccessAuthorizedDatasetArgs
    {
        Dataset = new Gcp.BigQuery.Inputs.DatasetAccessAuthorizedDatasetDatasetArgs
        {
            DatasetId = "string",
            ProjectId = "string",
        },
        TargetTypes = new[]
        {
            "string",
        },
    },
    Domain = "string",
    GroupByEmail = "string",
    IamMember = "string",
    Project = "string",
    Role = "string",
    Routine = new Gcp.BigQuery.Inputs.DatasetAccessRoutineArgs
    {
        DatasetId = "string",
        ProjectId = "string",
        RoutineId = "string",
    },
    SpecialGroup = "string",
    UserByEmail = "string",
    View = new Gcp.BigQuery.Inputs.DatasetAccessViewArgs
    {
        DatasetId = "string",
        ProjectId = "string",
        TableId = "string",
    },
});

    example, err := bigquery.NewDatasetAccess(ctx, "datasetAccessResource", &bigquery.DatasetAccessArgs{
	DatasetId: pulumi.String("string"),
	AuthorizedDataset: &bigquery.DatasetAccessAuthorizedDatasetArgs{
		Dataset: &bigquery.DatasetAccessAuthorizedDatasetDatasetArgs{
			DatasetId: pulumi.String("string"),
			ProjectId: pulumi.String("string"),
		},
		TargetTypes: pulumi.StringArray{
			pulumi.String("string"),
		},
	},
	Domain:       pulumi.String("string"),
	GroupByEmail: pulumi.String("string"),
	IamMember:    pulumi.String("string"),
	Project:      pulumi.String("string"),
	Role:         pulumi.String("string"),
	Routine: &bigquery.DatasetAccessRoutineArgs{
		DatasetId: pulumi.String("string"),
		ProjectId: pulumi.String("string"),
		RoutineId: pulumi.String("string"),
	},
	SpecialGroup: pulumi.String("string"),
	UserByEmail:  pulumi.String("string"),
	View: &bigquery.DatasetAccessViewArgs{
		DatasetId: pulumi.String("string"),
		ProjectId: pulumi.String("string"),
		TableId:   pulumi.String("string"),
	},
})

    var datasetAccessResource = new DatasetAccess("datasetAccessResource", DatasetAccessArgs.builder()
    .datasetId("string")
    .authorizedDataset(DatasetAccessAuthorizedDatasetArgs.builder()
        .dataset(DatasetAccessAuthorizedDatasetDatasetArgs.builder()
            .datasetId("string")
            .projectId("string")
            .build())
        .targetTypes("string")
        .build())
    .domain("string")
    .groupByEmail("string")
    .iamMember("string")
    .project("string")
    .role("string")
    .routine(DatasetAccessRoutineArgs.builder()
        .datasetId("string")
        .projectId("string")
        .routineId("string")
        .build())
    .specialGroup("string")
    .userByEmail("string")
    .view(DatasetAccessViewArgs.builder()
        .datasetId("string")
        .projectId("string")
        .tableId("string")
        .build())
    .build());

    dataset_access_resource = gcp.bigquery.DatasetAccess("datasetAccessResource",
    dataset_id="string",
    authorized_dataset={
        "dataset": {
            "dataset_id": "string",
            "project_id": "string",
        },
        "target_types": ["string"],
    },
    domain="string",
    group_by_email="string",
    iam_member="string",
    project="string",
    role="string",
    routine={
        "dataset_id": "string",
        "project_id": "string",
        "routine_id": "string",
    },
    special_group="string",
    user_by_email="string",
    view={
        "dataset_id": "string",
        "project_id": "string",
        "table_id": "string",
    })

    const datasetAccessResource = new gcp.bigquery.DatasetAccess("datasetAccessResource", {
    datasetId: "string",
    authorizedDataset: {
        dataset: {
            datasetId: "string",
            projectId: "string",
        },
        targetTypes: ["string"],
    },
    domain: "string",
    groupByEmail: "string",
    iamMember: "string",
    project: "string",
    role: "string",
    routine: {
        datasetId: "string",
        projectId: "string",
        routineId: "string",
    },
    specialGroup: "string",
    userByEmail: "string",
    view: {
        datasetId: "string",
        projectId: "string",
        tableId: "string",
    },
});

    type: gcp:bigquery:DatasetAccess
properties:
    authorizedDataset:
        dataset:
            datasetId: string
            projectId: string
        targetTypes:
            - string
    datasetId: string
    domain: string
    groupByEmail: string
    iamMember: string
    project: string
    role: string
    routine:
        datasetId: string
        projectId: string
        routineId: string
    specialGroup: string
    userByEmail: string
    view:
        datasetId: string
        projectId: string
        tableId: string

    DatasetAccess 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 DatasetAccess resource accepts the following input properties:

    DatasetId string
    A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.

    AuthorizedDataset DatasetAccessAuthorizedDataset
    Grants all resources of particular types in a particular dataset read access to the current dataset. Structure is documented below.
    Domain string
    A domain to grant access to. Any users signed in with the domain specified will be granted the specified access
    GroupByEmail string
    An email address of a Google Group to grant access to.
    IamMember string
    Some other type of member that appears in the IAM Policy but isn't a user, group, domain, or special group. For example: allUsers
    Project string
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    Role string
    Describes the rights granted to the user specified by the other member of the access object. Basic, predefined, and custom roles are supported. Predefined roles that have equivalent basic roles are swapped by the API to their basic counterparts, and will show a diff post-create. See official docs.
    Routine DatasetAccessRoutine
    A routine from a different dataset to grant access to. Queries executed against that routine will have read access to tables in this dataset. The role field is not required when this field is set. If that routine is updated by any user, access to the routine needs to be granted again via an update operation. Structure is documented below.
    SpecialGroup string
    A special group to grant access to. Possible values include:

    • projectOwners: Owners of the enclosing project.
    • projectReaders: Readers of the enclosing project.
    • projectWriters: Writers of the enclosing project.
    • allAuthenticatedUsers: All authenticated BigQuery users.
    UserByEmail string
    An email address of a user to grant access to. For example: fred@example.com
    View DatasetAccessView
    A view from a different dataset to grant access to. Queries executed against that view will have read access to tables in this dataset. The role field is not required when this field is set. If that view is updated by any user, access to the view needs to be granted again via an update operation. Structure is documented below.
    DatasetId string
    A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.

    AuthorizedDataset DatasetAccessAuthorizedDatasetArgs
    Grants all resources of particular types in a particular dataset read access to the current dataset. Structure is documented below.
    Domain string
    A domain to grant access to. Any users signed in with the domain specified will be granted the specified access
    GroupByEmail string
    An email address of a Google Group to grant access to.
    IamMember string
    Some other type of member that appears in the IAM Policy but isn't a user, group, domain, or special group. For example: allUsers
    Project string
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    Role string
    Describes the rights granted to the user specified by the other member of the access object. Basic, predefined, and custom roles are supported. Predefined roles that have equivalent basic roles are swapped by the API to their basic counterparts, and will show a diff post-create. See official docs.
    Routine DatasetAccessRoutineArgs
    A routine from a different dataset to grant access to. Queries executed against that routine will have read access to tables in this dataset. The role field is not required when this field is set. If that routine is updated by any user, access to the routine needs to be granted again via an update operation. Structure is documented below.
    SpecialGroup string
    A special group to grant access to. Possible values include:

    • projectOwners: Owners of the enclosing project.
    • projectReaders: Readers of the enclosing project.
    • projectWriters: Writers of the enclosing project.
    • allAuthenticatedUsers: All authenticated BigQuery users.
    UserByEmail string
    An email address of a user to grant access to. For example: fred@example.com
    View DatasetAccessViewArgs
    A view from a different dataset to grant access to. Queries executed against that view will have read access to tables in this dataset. The role field is not required when this field is set. If that view is updated by any user, access to the view needs to be granted again via an update operation. Structure is documented below.
    datasetId String
    A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.

    authorizedDataset DatasetAccessAuthorizedDataset
    Grants all resources of particular types in a particular dataset read access to the current dataset. Structure is documented below.
    domain String
    A domain to grant access to. Any users signed in with the domain specified will be granted the specified access
    groupByEmail String
    An email address of a Google Group to grant access to.
    iamMember String
    Some other type of member that appears in the IAM Policy but isn't a user, group, domain, or special group. For example: allUsers
    project String
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    role String
    Describes the rights granted to the user specified by the other member of the access object. Basic, predefined, and custom roles are supported. Predefined roles that have equivalent basic roles are swapped by the API to their basic counterparts, and will show a diff post-create. See official docs.
    routine DatasetAccessRoutine
    A routine from a different dataset to grant access to. Queries executed against that routine will have read access to tables in this dataset. The role field is not required when this field is set. If that routine is updated by any user, access to the routine needs to be granted again via an update operation. Structure is documented below.
    specialGroup String
    A special group to grant access to. Possible values include:

    • projectOwners: Owners of the enclosing project.
    • projectReaders: Readers of the enclosing project.
    • projectWriters: Writers of the enclosing project.
    • allAuthenticatedUsers: All authenticated BigQuery users.
    userByEmail String
    An email address of a user to grant access to. For example: fred@example.com
    view DatasetAccessView
    A view from a different dataset to grant access to. Queries executed against that view will have read access to tables in this dataset. The role field is not required when this field is set. If that view is updated by any user, access to the view needs to be granted again via an update operation. Structure is documented below.
    datasetId string
    A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.

    authorizedDataset DatasetAccessAuthorizedDataset
    Grants all resources of particular types in a particular dataset read access to the current dataset. Structure is documented below.
    domain string
    A domain to grant access to. Any users signed in with the domain specified will be granted the specified access
    groupByEmail string
    An email address of a Google Group to grant access to.
    iamMember string
    Some other type of member that appears in the IAM Policy but isn't a user, group, domain, or special group. For example: allUsers
    project string
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    role string
    Describes the rights granted to the user specified by the other member of the access object. Basic, predefined, and custom roles are supported. Predefined roles that have equivalent basic roles are swapped by the API to their basic counterparts, and will show a diff post-create. See official docs.
    routine DatasetAccessRoutine
    A routine from a different dataset to grant access to. Queries executed against that routine will have read access to tables in this dataset. The role field is not required when this field is set. If that routine is updated by any user, access to the routine needs to be granted again via an update operation. Structure is documented below.
    specialGroup string
    A special group to grant access to. Possible values include:

    • projectOwners: Owners of the enclosing project.
    • projectReaders: Readers of the enclosing project.
    • projectWriters: Writers of the enclosing project.
    • allAuthenticatedUsers: All authenticated BigQuery users.
    userByEmail string
    An email address of a user to grant access to. For example: fred@example.com
    view DatasetAccessView
    A view from a different dataset to grant access to. Queries executed against that view will have read access to tables in this dataset. The role field is not required when this field is set. If that view is updated by any user, access to the view needs to be granted again via an update operation. Structure is documented below.
    dataset_id str
    A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.

    authorized_dataset DatasetAccessAuthorizedDatasetArgs
    Grants all resources of particular types in a particular dataset read access to the current dataset. Structure is documented below.
    domain str
    A domain to grant access to. Any users signed in with the domain specified will be granted the specified access
    group_by_email str
    An email address of a Google Group to grant access to.
    iam_member str
    Some other type of member that appears in the IAM Policy but isn't a user, group, domain, or special group. For example: allUsers
    project str
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    role str
    Describes the rights granted to the user specified by the other member of the access object. Basic, predefined, and custom roles are supported. Predefined roles that have equivalent basic roles are swapped by the API to their basic counterparts, and will show a diff post-create. See official docs.
    routine DatasetAccessRoutineArgs
    A routine from a different dataset to grant access to. Queries executed against that routine will have read access to tables in this dataset. The role field is not required when this field is set. If that routine is updated by any user, access to the routine needs to be granted again via an update operation. Structure is documented below.
    special_group str
    A special group to grant access to. Possible values include:

    • projectOwners: Owners of the enclosing project.
    • projectReaders: Readers of the enclosing project.
    • projectWriters: Writers of the enclosing project.
    • allAuthenticatedUsers: All authenticated BigQuery users.
    user_by_email str
    An email address of a user to grant access to. For example: fred@example.com
    view DatasetAccessViewArgs
    A view from a different dataset to grant access to. Queries executed against that view will have read access to tables in this dataset. The role field is not required when this field is set. If that view is updated by any user, access to the view needs to be granted again via an update operation. Structure is documented below.
    datasetId String
    A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.

    authorizedDataset Property Map
    Grants all resources of particular types in a particular dataset read access to the current dataset. Structure is documented below.
    domain String
    A domain to grant access to. Any users signed in with the domain specified will be granted the specified access
    groupByEmail String
    An email address of a Google Group to grant access to.
    iamMember String
    Some other type of member that appears in the IAM Policy but isn't a user, group, domain, or special group. For example: allUsers
    project String
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    role String
    Describes the rights granted to the user specified by the other member of the access object. Basic, predefined, and custom roles are supported. Predefined roles that have equivalent basic roles are swapped by the API to their basic counterparts, and will show a diff post-create. See official docs.
    routine Property Map
    A routine from a different dataset to grant access to. Queries executed against that routine will have read access to tables in this dataset. The role field is not required when this field is set. If that routine is updated by any user, access to the routine needs to be granted again via an update operation. Structure is documented below.
    specialGroup String
    A special group to grant access to. Possible values include:

    • projectOwners: Owners of the enclosing project.
    • projectReaders: Readers of the enclosing project.
    • projectWriters: Writers of the enclosing project.
    • allAuthenticatedUsers: All authenticated BigQuery users.
    userByEmail String
    An email address of a user to grant access to. For example: fred@example.com
    view Property Map
    A view from a different dataset to grant access to. Queries executed against that view will have read access to tables in this dataset. The role field is not required when this field is set. If that view is updated by any user, access to the view needs to be granted again via an update operation. Structure is documented below.

    Outputs

    All input properties are implicitly available as output properties. Additionally, the DatasetAccess resource produces the following output properties:

    ApiUpdatedMember bool
    If true, represents that that the iam_member in the config was translated to a different member type by the API, and is stored in state as a different member type
    Id string
    The provider-assigned unique ID for this managed resource.
    ApiUpdatedMember bool
    If true, represents that that the iam_member in the config was translated to a different member type by the API, and is stored in state as a different member type
    Id string
    The provider-assigned unique ID for this managed resource.
    apiUpdatedMember Boolean
    If true, represents that that the iam_member in the config was translated to a different member type by the API, and is stored in state as a different member type
    id String
    The provider-assigned unique ID for this managed resource.
    apiUpdatedMember boolean
    If true, represents that that the iam_member in the config was translated to a different member type by the API, and is stored in state as a different member type
    id string
    The provider-assigned unique ID for this managed resource.
    api_updated_member bool
    If true, represents that that the iam_member in the config was translated to a different member type by the API, and is stored in state as a different member type
    id str
    The provider-assigned unique ID for this managed resource.
    apiUpdatedMember Boolean
    If true, represents that that the iam_member in the config was translated to a different member type by the API, and is stored in state as a different member type
    id String
    The provider-assigned unique ID for this managed resource.

    Look up Existing DatasetAccess Resource

    Get an existing DatasetAccess 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?: DatasetAccessState, opts?: CustomResourceOptions): DatasetAccess
    @staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        api_updated_member: Optional[bool] = None,
        authorized_dataset: Optional[DatasetAccessAuthorizedDatasetArgs] = None,
        dataset_id: Optional[str] = None,
        domain: Optional[str] = None,
        group_by_email: Optional[str] = None,
        iam_member: Optional[str] = None,
        project: Optional[str] = None,
        role: Optional[str] = None,
        routine: Optional[DatasetAccessRoutineArgs] = None,
        special_group: Optional[str] = None,
        user_by_email: Optional[str] = None,
        view: Optional[DatasetAccessViewArgs] = None) -> DatasetAccess
    func GetDatasetAccess(ctx *Context, name string, id IDInput, state *DatasetAccessState, opts ...ResourceOption) (*DatasetAccess, error)
    public static DatasetAccess Get(string name, Input<string> id, DatasetAccessState? state, CustomResourceOptions? opts = null)
    public static DatasetAccess get(String name, Output<String> id, DatasetAccessState 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.
    The following state arguments are supported:
    ApiUpdatedMember bool
    If true, represents that that the iam_member in the config was translated to a different member type by the API, and is stored in state as a different member type
    AuthorizedDataset DatasetAccessAuthorizedDataset
    Grants all resources of particular types in a particular dataset read access to the current dataset. Structure is documented below.
    DatasetId string
    A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.

    Domain string
    A domain to grant access to. Any users signed in with the domain specified will be granted the specified access
    GroupByEmail string
    An email address of a Google Group to grant access to.
    IamMember string
    Some other type of member that appears in the IAM Policy but isn't a user, group, domain, or special group. For example: allUsers
    Project string
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    Role string
    Describes the rights granted to the user specified by the other member of the access object. Basic, predefined, and custom roles are supported. Predefined roles that have equivalent basic roles are swapped by the API to their basic counterparts, and will show a diff post-create. See official docs.
    Routine DatasetAccessRoutine
    A routine from a different dataset to grant access to. Queries executed against that routine will have read access to tables in this dataset. The role field is not required when this field is set. If that routine is updated by any user, access to the routine needs to be granted again via an update operation. Structure is documented below.
    SpecialGroup string
    A special group to grant access to. Possible values include:

    • projectOwners: Owners of the enclosing project.
    • projectReaders: Readers of the enclosing project.
    • projectWriters: Writers of the enclosing project.
    • allAuthenticatedUsers: All authenticated BigQuery users.
    UserByEmail string
    An email address of a user to grant access to. For example: fred@example.com
    View DatasetAccessView
    A view from a different dataset to grant access to. Queries executed against that view will have read access to tables in this dataset. The role field is not required when this field is set. If that view is updated by any user, access to the view needs to be granted again via an update operation. Structure is documented below.
    ApiUpdatedMember bool
    If true, represents that that the iam_member in the config was translated to a different member type by the API, and is stored in state as a different member type
    AuthorizedDataset DatasetAccessAuthorizedDatasetArgs
    Grants all resources of particular types in a particular dataset read access to the current dataset. Structure is documented below.
    DatasetId string
    A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.

    Domain string
    A domain to grant access to. Any users signed in with the domain specified will be granted the specified access
    GroupByEmail string
    An email address of a Google Group to grant access to.
    IamMember string
    Some other type of member that appears in the IAM Policy but isn't a user, group, domain, or special group. For example: allUsers
    Project string
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    Role string
    Describes the rights granted to the user specified by the other member of the access object. Basic, predefined, and custom roles are supported. Predefined roles that have equivalent basic roles are swapped by the API to their basic counterparts, and will show a diff post-create. See official docs.
    Routine DatasetAccessRoutineArgs
    A routine from a different dataset to grant access to. Queries executed against that routine will have read access to tables in this dataset. The role field is not required when this field is set. If that routine is updated by any user, access to the routine needs to be granted again via an update operation. Structure is documented below.
    SpecialGroup string
    A special group to grant access to. Possible values include:

    • projectOwners: Owners of the enclosing project.
    • projectReaders: Readers of the enclosing project.
    • projectWriters: Writers of the enclosing project.
    • allAuthenticatedUsers: All authenticated BigQuery users.
    UserByEmail string
    An email address of a user to grant access to. For example: fred@example.com
    View DatasetAccessViewArgs
    A view from a different dataset to grant access to. Queries executed against that view will have read access to tables in this dataset. The role field is not required when this field is set. If that view is updated by any user, access to the view needs to be granted again via an update operation. Structure is documented below.
    apiUpdatedMember Boolean
    If true, represents that that the iam_member in the config was translated to a different member type by the API, and is stored in state as a different member type
    authorizedDataset DatasetAccessAuthorizedDataset
    Grants all resources of particular types in a particular dataset read access to the current dataset. Structure is documented below.
    datasetId String
    A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.

    domain String
    A domain to grant access to. Any users signed in with the domain specified will be granted the specified access
    groupByEmail String
    An email address of a Google Group to grant access to.
    iamMember String
    Some other type of member that appears in the IAM Policy but isn't a user, group, domain, or special group. For example: allUsers
    project String
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    role String
    Describes the rights granted to the user specified by the other member of the access object. Basic, predefined, and custom roles are supported. Predefined roles that have equivalent basic roles are swapped by the API to their basic counterparts, and will show a diff post-create. See official docs.
    routine DatasetAccessRoutine
    A routine from a different dataset to grant access to. Queries executed against that routine will have read access to tables in this dataset. The role field is not required when this field is set. If that routine is updated by any user, access to the routine needs to be granted again via an update operation. Structure is documented below.
    specialGroup String
    A special group to grant access to. Possible values include:

    • projectOwners: Owners of the enclosing project.
    • projectReaders: Readers of the enclosing project.
    • projectWriters: Writers of the enclosing project.
    • allAuthenticatedUsers: All authenticated BigQuery users.
    userByEmail String
    An email address of a user to grant access to. For example: fred@example.com
    view DatasetAccessView
    A view from a different dataset to grant access to. Queries executed against that view will have read access to tables in this dataset. The role field is not required when this field is set. If that view is updated by any user, access to the view needs to be granted again via an update operation. Structure is documented below.
    apiUpdatedMember boolean
    If true, represents that that the iam_member in the config was translated to a different member type by the API, and is stored in state as a different member type
    authorizedDataset DatasetAccessAuthorizedDataset
    Grants all resources of particular types in a particular dataset read access to the current dataset. Structure is documented below.
    datasetId string
    A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.

    domain string
    A domain to grant access to. Any users signed in with the domain specified will be granted the specified access
    groupByEmail string
    An email address of a Google Group to grant access to.
    iamMember string
    Some other type of member that appears in the IAM Policy but isn't a user, group, domain, or special group. For example: allUsers
    project string
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    role string
    Describes the rights granted to the user specified by the other member of the access object. Basic, predefined, and custom roles are supported. Predefined roles that have equivalent basic roles are swapped by the API to their basic counterparts, and will show a diff post-create. See official docs.
    routine DatasetAccessRoutine
    A routine from a different dataset to grant access to. Queries executed against that routine will have read access to tables in this dataset. The role field is not required when this field is set. If that routine is updated by any user, access to the routine needs to be granted again via an update operation. Structure is documented below.
    specialGroup string
    A special group to grant access to. Possible values include:

    • projectOwners: Owners of the enclosing project.
    • projectReaders: Readers of the enclosing project.
    • projectWriters: Writers of the enclosing project.
    • allAuthenticatedUsers: All authenticated BigQuery users.
    userByEmail string
    An email address of a user to grant access to. For example: fred@example.com
    view DatasetAccessView
    A view from a different dataset to grant access to. Queries executed against that view will have read access to tables in this dataset. The role field is not required when this field is set. If that view is updated by any user, access to the view needs to be granted again via an update operation. Structure is documented below.
    api_updated_member bool
    If true, represents that that the iam_member in the config was translated to a different member type by the API, and is stored in state as a different member type
    authorized_dataset DatasetAccessAuthorizedDatasetArgs
    Grants all resources of particular types in a particular dataset read access to the current dataset. Structure is documented below.
    dataset_id str
    A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.

    domain str
    A domain to grant access to. Any users signed in with the domain specified will be granted the specified access
    group_by_email str
    An email address of a Google Group to grant access to.
    iam_member str
    Some other type of member that appears in the IAM Policy but isn't a user, group, domain, or special group. For example: allUsers
    project str
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    role str
    Describes the rights granted to the user specified by the other member of the access object. Basic, predefined, and custom roles are supported. Predefined roles that have equivalent basic roles are swapped by the API to their basic counterparts, and will show a diff post-create. See official docs.
    routine DatasetAccessRoutineArgs
    A routine from a different dataset to grant access to. Queries executed against that routine will have read access to tables in this dataset. The role field is not required when this field is set. If that routine is updated by any user, access to the routine needs to be granted again via an update operation. Structure is documented below.
    special_group str
    A special group to grant access to. Possible values include:

    • projectOwners: Owners of the enclosing project.
    • projectReaders: Readers of the enclosing project.
    • projectWriters: Writers of the enclosing project.
    • allAuthenticatedUsers: All authenticated BigQuery users.
    user_by_email str
    An email address of a user to grant access to. For example: fred@example.com
    view DatasetAccessViewArgs
    A view from a different dataset to grant access to. Queries executed against that view will have read access to tables in this dataset. The role field is not required when this field is set. If that view is updated by any user, access to the view needs to be granted again via an update operation. Structure is documented below.
    apiUpdatedMember Boolean
    If true, represents that that the iam_member in the config was translated to a different member type by the API, and is stored in state as a different member type
    authorizedDataset Property Map
    Grants all resources of particular types in a particular dataset read access to the current dataset. Structure is documented below.
    datasetId String
    A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.

    domain String
    A domain to grant access to. Any users signed in with the domain specified will be granted the specified access
    groupByEmail String
    An email address of a Google Group to grant access to.
    iamMember String
    Some other type of member that appears in the IAM Policy but isn't a user, group, domain, or special group. For example: allUsers
    project String
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    role String
    Describes the rights granted to the user specified by the other member of the access object. Basic, predefined, and custom roles are supported. Predefined roles that have equivalent basic roles are swapped by the API to their basic counterparts, and will show a diff post-create. See official docs.
    routine Property Map
    A routine from a different dataset to grant access to. Queries executed against that routine will have read access to tables in this dataset. The role field is not required when this field is set. If that routine is updated by any user, access to the routine needs to be granted again via an update operation. Structure is documented below.
    specialGroup String
    A special group to grant access to. Possible values include:

    • projectOwners: Owners of the enclosing project.
    • projectReaders: Readers of the enclosing project.
    • projectWriters: Writers of the enclosing project.
    • allAuthenticatedUsers: All authenticated BigQuery users.
    userByEmail String
    An email address of a user to grant access to. For example: fred@example.com
    view Property Map
    A view from a different dataset to grant access to. Queries executed against that view will have read access to tables in this dataset. The role field is not required when this field is set. If that view is updated by any user, access to the view needs to be granted again via an update operation. Structure is documented below.

    Supporting Types

    DatasetAccessAuthorizedDataset, DatasetAccessAuthorizedDatasetArgs

    Dataset DatasetAccessAuthorizedDatasetDataset
    The dataset this entry applies to Structure is documented below.
    TargetTypes List<string>
    Which resources in the dataset this entry applies to. Currently, only views are supported, but additional target types may be added in the future. Possible values: VIEWS
    Dataset DatasetAccessAuthorizedDatasetDataset
    The dataset this entry applies to Structure is documented below.
    TargetTypes []string
    Which resources in the dataset this entry applies to. Currently, only views are supported, but additional target types may be added in the future. Possible values: VIEWS
    dataset DatasetAccessAuthorizedDatasetDataset
    The dataset this entry applies to Structure is documented below.
    targetTypes List<String>
    Which resources in the dataset this entry applies to. Currently, only views are supported, but additional target types may be added in the future. Possible values: VIEWS
    dataset DatasetAccessAuthorizedDatasetDataset
    The dataset this entry applies to Structure is documented below.
    targetTypes string[]
    Which resources in the dataset this entry applies to. Currently, only views are supported, but additional target types may be added in the future. Possible values: VIEWS
    dataset DatasetAccessAuthorizedDatasetDataset
    The dataset this entry applies to Structure is documented below.
    target_types Sequence[str]
    Which resources in the dataset this entry applies to. Currently, only views are supported, but additional target types may be added in the future. Possible values: VIEWS
    dataset Property Map
    The dataset this entry applies to Structure is documented below.
    targetTypes List<String>
    Which resources in the dataset this entry applies to. Currently, only views are supported, but additional target types may be added in the future. Possible values: VIEWS

    DatasetAccessAuthorizedDatasetDataset, DatasetAccessAuthorizedDatasetDatasetArgs

    DatasetId string
    The ID of the dataset containing this table.
    ProjectId string
    The ID of the project containing this table.
    DatasetId string
    The ID of the dataset containing this table.
    ProjectId string
    The ID of the project containing this table.
    datasetId String
    The ID of the dataset containing this table.
    projectId String
    The ID of the project containing this table.
    datasetId string
    The ID of the dataset containing this table.
    projectId string
    The ID of the project containing this table.
    dataset_id str
    The ID of the dataset containing this table.
    project_id str
    The ID of the project containing this table.
    datasetId String
    The ID of the dataset containing this table.
    projectId String
    The ID of the project containing this table.

    DatasetAccessRoutine, DatasetAccessRoutineArgs

    DatasetId string
    The ID of the dataset containing this table.
    ProjectId string
    The ID of the project containing this table.
    RoutineId string
    The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
    DatasetId string
    The ID of the dataset containing this table.
    ProjectId string
    The ID of the project containing this table.
    RoutineId string
    The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
    datasetId String
    The ID of the dataset containing this table.
    projectId String
    The ID of the project containing this table.
    routineId String
    The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
    datasetId string
    The ID of the dataset containing this table.
    projectId string
    The ID of the project containing this table.
    routineId string
    The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
    dataset_id str
    The ID of the dataset containing this table.
    project_id str
    The ID of the project containing this table.
    routine_id str
    The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
    datasetId String
    The ID of the dataset containing this table.
    projectId String
    The ID of the project containing this table.
    routineId String
    The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.

    DatasetAccessView, DatasetAccessViewArgs

    DatasetId string
    The ID of the dataset containing this table.
    ProjectId string
    The ID of the project containing this table.
    TableId string
    The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    DatasetId string
    The ID of the dataset containing this table.
    ProjectId string
    The ID of the project containing this table.
    TableId string
    The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    datasetId String
    The ID of the dataset containing this table.
    projectId String
    The ID of the project containing this table.
    tableId String
    The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    datasetId string
    The ID of the dataset containing this table.
    projectId string
    The ID of the project containing this table.
    tableId string
    The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    dataset_id str
    The ID of the dataset containing this table.
    project_id str
    The ID of the project containing this table.
    table_id str
    The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    datasetId String
    The ID of the dataset containing this table.
    projectId String
    The ID of the project containing this table.
    tableId String
    The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.

    Import

    This resource does not support import.

    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-beta Terraform Provider.
    gcp logo
    Google Cloud Classic v8.9.3 published on Monday, Nov 18, 2024 by Pulumi
    pulumi/pulumi-gcp