pulumi-gcp-kotlin/com.pulumi.gcp.dataplex.kotlin/DatascanArgs

DatascanArgs

data class DatascanArgs(val data: Output<DatascanDataArgs>? = null, val dataProfileSpec: Output<DatascanDataProfileSpecArgs>? = null, val dataQualitySpec: Output<DatascanDataQualitySpecArgs>? = null, val dataScanId: Output<String>? = null, val description: Output<String>? = null, val displayName: Output<String>? = null, val executionSpec: Output<DatascanExecutionSpecArgs>? = null, val labels: Output<Map<String, String>>? = null, val location: Output<String>? = null, val project: Output<String>? = null) : ConvertibleToJava<DatascanArgs>

Represents a user-visible job which provides the insights for the related data source. To get more information about Datascan, see:

Example Usage

Dataplex Datascan Basic Profile

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const basicProfile = new gcp.dataplex.Datascan("basic_profile", {
    location: "us-central1",
    dataScanId: "dataprofile-basic",
    data: {
        resource: "//bigquery.googleapis.com/projects/bigquery-public-data/datasets/samples/tables/shakespeare",
    },
    executionSpec: {
        trigger: {
            onDemand: {},
        },
    },
    dataProfileSpec: {},
    project: "my-project-name",
});
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import pulumi
import pulumi_gcp as gcp
basic_profile = gcp.dataplex.Datascan("basic_profile",
    location="us-central1",
    data_scan_id="dataprofile-basic",
    data={
        "resource": "//bigquery.googleapis.com/projects/bigquery-public-data/datasets/samples/tables/shakespeare",
    },
    execution_spec={
        "trigger": {
            "on_demand": {},
        },
    },
    data_profile_spec={},
    project="my-project-name")
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using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;
return await Deployment.RunAsync(() =>
{
    var basicProfile = new Gcp.DataPlex.Datascan("basic_profile", new()
    {
        Location = "us-central1",
        DataScanId = "dataprofile-basic",
        Data = new Gcp.DataPlex.Inputs.DatascanDataArgs
        {
            Resource = "//bigquery.googleapis.com/projects/bigquery-public-data/datasets/samples/tables/shakespeare",
        },
        ExecutionSpec = new Gcp.DataPlex.Inputs.DatascanExecutionSpecArgs
        {
            Trigger = new Gcp.DataPlex.Inputs.DatascanExecutionSpecTriggerArgs
            {
                OnDemand = null,
            },
        },
        DataProfileSpec = null,
        Project = "my-project-name",
    });
});
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package main
import (
	"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/dataplex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := dataplex.NewDatascan(ctx, "basic_profile", &dataplex.DatascanArgs{
			Location:   pulumi.String("us-central1"),
			DataScanId: pulumi.String("dataprofile-basic"),
			Data: &dataplex.DatascanDataArgs{
				Resource: pulumi.String("//bigquery.googleapis.com/projects/bigquery-public-data/datasets/samples/tables/shakespeare"),
			},
			ExecutionSpec: &dataplex.DatascanExecutionSpecArgs{
				Trigger: &dataplex.DatascanExecutionSpecTriggerArgs{
					OnDemand: nil,
				},
			},
			DataProfileSpec: nil,
			Project:         pulumi.String("my-project-name"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}
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package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.dataplex.Datascan;
import com.pulumi.gcp.dataplex.DatascanArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanDataArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanExecutionSpecArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanExecutionSpecTriggerArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanExecutionSpecTriggerOnDemandArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanDataProfileSpecArgs;
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 basicProfile = new Datascan("basicProfile", DatascanArgs.builder()
            .location("us-central1")
            .dataScanId("dataprofile-basic")
            .data(DatascanDataArgs.builder()
                .resource("//bigquery.googleapis.com/projects/bigquery-public-data/datasets/samples/tables/shakespeare")
                .build())
            .executionSpec(DatascanExecutionSpecArgs.builder()
                .trigger(DatascanExecutionSpecTriggerArgs.builder()
                    .onDemand()
                    .build())
                .build())
            .dataProfileSpec()
            .project("my-project-name")
            .build());
    }
}
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resources:
  basicProfile:
    type: gcp:dataplex:Datascan
    name: basic_profile
    properties:
      location: us-central1
      dataScanId: dataprofile-basic
      data:
        resource: //bigquery.googleapis.com/projects/bigquery-public-data/datasets/samples/tables/shakespeare
      executionSpec:
        trigger:
          onDemand: {}
      dataProfileSpec: {}
      project: my-project-name
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Dataplex Datascan Full Profile

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const source = new gcp.bigquery.Dataset("source", {
    datasetId: "dataplex_dataset",
    friendlyName: "test",
    description: "This is a test description",
    location: "US",
    deleteContentsOnDestroy: true,
});
const fullProfile = new gcp.dataplex.Datascan("full_profile", {
    location: "us-central1",
    displayName: "Full Datascan Profile",
    dataScanId: "dataprofile-full",
    description: "Example resource - Full Datascan Profile",
    labels: {
        author: "billing",
    },
    data: {
        resource: "//bigquery.googleapis.com/projects/bigquery-public-data/datasets/samples/tables/shakespeare",
    },
    executionSpec: {
        trigger: {
            schedule: {
                cron: "TZ=America/New_York 1 1 * * *",
            },
        },
    },
    dataProfileSpec: {
        samplingPercent: 80,
        rowFilter: "word_count 10",
        includeFields: {
            fieldNames: ["word_count"],
        },
        excludeFields: {
            fieldNames: ["property_type"],
        },
        postScanActions: {
            bigqueryExport: {
                resultsTable: "//bigquery.googleapis.com/projects/my-project-name/datasets/dataplex_dataset/tables/profile_export",
            },
        },
    },
    project: "my-project-name",
}, {
    dependsOn: [source],
});
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import pulumi
import pulumi_gcp as gcp
source = gcp.bigquery.Dataset("source",
    dataset_id="dataplex_dataset",
    friendly_name="test",
    description="This is a test description",
    location="US",
    delete_contents_on_destroy=True)
full_profile = gcp.dataplex.Datascan("full_profile",
    location="us-central1",
    display_name="Full Datascan Profile",
    data_scan_id="dataprofile-full",
    description="Example resource - Full Datascan Profile",
    labels={
        "author": "billing",
    },
    data={
        "resource": "//bigquery.googleapis.com/projects/bigquery-public-data/datasets/samples/tables/shakespeare",
    },
    execution_spec={
        "trigger": {
            "schedule": {
                "cron": "TZ=America/New_York 1 1 * * *",
            },
        },
    },
    data_profile_spec={
        "sampling_percent": 80,
        "row_filter": "word_count 10",
        "include_fields": {
            "field_names": ["word_count"],
        },
        "exclude_fields": {
            "field_names": ["property_type"],
        },
        "post_scan_actions": {
            "bigquery_export": {
                "results_table": "//bigquery.googleapis.com/projects/my-project-name/datasets/dataplex_dataset/tables/profile_export",
            },
        },
    },
    project="my-project-name",
    opts = pulumi.ResourceOptions(depends_on=[source]))
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using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;
return await Deployment.RunAsync(() =>
{
    var source = new Gcp.BigQuery.Dataset("source", new()
    {
        DatasetId = "dataplex_dataset",
        FriendlyName = "test",
        Description = "This is a test description",
        Location = "US",
        DeleteContentsOnDestroy = true,
    });
    var fullProfile = new Gcp.DataPlex.Datascan("full_profile", new()
    {
        Location = "us-central1",
        DisplayName = "Full Datascan Profile",
        DataScanId = "dataprofile-full",
        Description = "Example resource - Full Datascan Profile",
        Labels =
        {
            { "author", "billing" },
        },
        Data = new Gcp.DataPlex.Inputs.DatascanDataArgs
        {
            Resource = "//bigquery.googleapis.com/projects/bigquery-public-data/datasets/samples/tables/shakespeare",
        },
        ExecutionSpec = new Gcp.DataPlex.Inputs.DatascanExecutionSpecArgs
        {
            Trigger = new Gcp.DataPlex.Inputs.DatascanExecutionSpecTriggerArgs
            {
                Schedule = new Gcp.DataPlex.Inputs.DatascanExecutionSpecTriggerScheduleArgs
                {
                    Cron = "TZ=America/New_York 1 1 * * *",
                },
            },
        },
        DataProfileSpec = new Gcp.DataPlex.Inputs.DatascanDataProfileSpecArgs
        {
            SamplingPercent = 80,
            RowFilter = "word_count 10",
            IncludeFields = new Gcp.DataPlex.Inputs.DatascanDataProfileSpecIncludeFieldsArgs
            {
                FieldNames = new[]
                {
                    "word_count",
                },
            },
            ExcludeFields = new Gcp.DataPlex.Inputs.DatascanDataProfileSpecExcludeFieldsArgs
            {
                FieldNames = new[]
                {
                    "property_type",
                },
            },
            PostScanActions = new Gcp.DataPlex.Inputs.DatascanDataProfileSpecPostScanActionsArgs
            {
                BigqueryExport = new Gcp.DataPlex.Inputs.DatascanDataProfileSpecPostScanActionsBigqueryExportArgs
                {
                    ResultsTable = "//bigquery.googleapis.com/projects/my-project-name/datasets/dataplex_dataset/tables/profile_export",
                },
            },
        },
        Project = "my-project-name",
    }, new CustomResourceOptions
    {
        DependsOn =
        {
            source,
        },
    });
});
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package main
import (
	"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/bigquery"
	"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/dataplex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		source, err := bigquery.NewDataset(ctx, "source", &bigquery.DatasetArgs{
			DatasetId:               pulumi.String("dataplex_dataset"),
			FriendlyName:            pulumi.String("test"),
			Description:             pulumi.String("This is a test description"),
			Location:                pulumi.String("US"),
			DeleteContentsOnDestroy: pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		_, err = dataplex.NewDatascan(ctx, "full_profile", &dataplex.DatascanArgs{
			Location:    pulumi.String("us-central1"),
			DisplayName: pulumi.String("Full Datascan Profile"),
			DataScanId:  pulumi.String("dataprofile-full"),
			Description: pulumi.String("Example resource - Full Datascan Profile"),
			Labels: pulumi.StringMap{
				"author": pulumi.String("billing"),
			},
			Data: &dataplex.DatascanDataArgs{
				Resource: pulumi.String("//bigquery.googleapis.com/projects/bigquery-public-data/datasets/samples/tables/shakespeare"),
			},
			ExecutionSpec: &dataplex.DatascanExecutionSpecArgs{
				Trigger: &dataplex.DatascanExecutionSpecTriggerArgs{
					Schedule: &dataplex.DatascanExecutionSpecTriggerScheduleArgs{
						Cron: pulumi.String("TZ=America/New_York 1 1 * * *"),
					},
				},
			},
			DataProfileSpec: &dataplex.DatascanDataProfileSpecArgs{
				SamplingPercent: pulumi.Float64(80),
				RowFilter:       pulumi.String("word_count 10"),
				IncludeFields: &dataplex.DatascanDataProfileSpecIncludeFieldsArgs{
					FieldNames: pulumi.StringArray{
						pulumi.String("word_count"),
					},
				},
				ExcludeFields: &dataplex.DatascanDataProfileSpecExcludeFieldsArgs{
					FieldNames: pulumi.StringArray{
						pulumi.String("property_type"),
					},
				},
				PostScanActions: &dataplex.DatascanDataProfileSpecPostScanActionsArgs{
					BigqueryExport: &dataplex.DatascanDataProfileSpecPostScanActionsBigqueryExportArgs{
						ResultsTable: pulumi.String("//bigquery.googleapis.com/projects/my-project-name/datasets/dataplex_dataset/tables/profile_export"),
					},
				},
			},
			Project: pulumi.String("my-project-name"),
		}, pulumi.DependsOn([]pulumi.Resource{
			source,
		}))
		if err != nil {
			return err
		}
		return nil
	})
}
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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.dataplex.Datascan;
import com.pulumi.gcp.dataplex.DatascanArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanDataArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanExecutionSpecArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanExecutionSpecTriggerArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanExecutionSpecTriggerScheduleArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanDataProfileSpecArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanDataProfileSpecIncludeFieldsArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanDataProfileSpecExcludeFieldsArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanDataProfileSpecPostScanActionsArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanDataProfileSpecPostScanActionsBigqueryExportArgs;
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 source = new Dataset("source", DatasetArgs.builder()
            .datasetId("dataplex_dataset")
            .friendlyName("test")
            .description("This is a test description")
            .location("US")
            .deleteContentsOnDestroy(true)
            .build());
        var fullProfile = new Datascan("fullProfile", DatascanArgs.builder()
            .location("us-central1")
            .displayName("Full Datascan Profile")
            .dataScanId("dataprofile-full")
            .description("Example resource - Full Datascan Profile")
            .labels(Map.of("author", "billing"))
            .data(DatascanDataArgs.builder()
                .resource("//bigquery.googleapis.com/projects/bigquery-public-data/datasets/samples/tables/shakespeare")
                .build())
            .executionSpec(DatascanExecutionSpecArgs.builder()
                .trigger(DatascanExecutionSpecTriggerArgs.builder()
                    .schedule(DatascanExecutionSpecTriggerScheduleArgs.builder()
                        .cron("TZ=America/New_York 1 1 * * *")
                        .build())
                    .build())
                .build())
            .dataProfileSpec(DatascanDataProfileSpecArgs.builder()
                .samplingPercent(80)
                .rowFilter("word_count 10")
                .includeFields(DatascanDataProfileSpecIncludeFieldsArgs.builder()
                    .fieldNames("word_count")
                    .build())
                .excludeFields(DatascanDataProfileSpecExcludeFieldsArgs.builder()
                    .fieldNames("property_type")
                    .build())
                .postScanActions(DatascanDataProfileSpecPostScanActionsArgs.builder()
                    .bigqueryExport(DatascanDataProfileSpecPostScanActionsBigqueryExportArgs.builder()
                        .resultsTable("//bigquery.googleapis.com/projects/my-project-name/datasets/dataplex_dataset/tables/profile_export")
                        .build())
                    .build())
                .build())
            .project("my-project-name")
            .build(), CustomResourceOptions.builder()
                .dependsOn(source)
                .build());
    }
}
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resources:
  fullProfile:
    type: gcp:dataplex:Datascan
    name: full_profile
    properties:
      location: us-central1
      displayName: Full Datascan Profile
      dataScanId: dataprofile-full
      description: Example resource - Full Datascan Profile
      labels:
        author: billing
      data:
        resource: //bigquery.googleapis.com/projects/bigquery-public-data/datasets/samples/tables/shakespeare
      executionSpec:
        trigger:
          schedule:
            cron: TZ=America/New_York 1 1 * * *
      dataProfileSpec:
        samplingPercent: 80
        rowFilter: word_count 10
        includeFields:
          fieldNames:
            - word_count
        excludeFields:
          fieldNames:
            - property_type
        postScanActions:
          bigqueryExport:
            resultsTable: //bigquery.googleapis.com/projects/my-project-name/datasets/dataplex_dataset/tables/profile_export
      project: my-project-name
    options:
      dependson:
        - ${source}
  source:
    type: gcp:bigquery:Dataset
    properties:
      datasetId: dataplex_dataset
      friendlyName: test
      description: This is a test description
      location: US
      deleteContentsOnDestroy: true
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Dataplex Datascan Basic Quality

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const basicQuality = new gcp.dataplex.Datascan("basic_quality", {
    location: "us-central1",
    dataScanId: "dataquality-basic",
    data: {
        resource: "//bigquery.googleapis.com/projects/bigquery-public-data/datasets/samples/tables/shakespeare",
    },
    executionSpec: {
        trigger: {
            onDemand: {},
        },
    },
    dataQualitySpec: {
        rules: [{
            dimension: "VALIDITY",
            name: "rule1",
            description: "rule 1 for validity dimension",
            tableConditionExpectation: {
                sqlExpression: "COUNT(*) 0",
            },
        }],
    },
    project: "my-project-name",
});
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import pulumi
import pulumi_gcp as gcp
basic_quality = gcp.dataplex.Datascan("basic_quality",
    location="us-central1",
    data_scan_id="dataquality-basic",
    data={
        "resource": "//bigquery.googleapis.com/projects/bigquery-public-data/datasets/samples/tables/shakespeare",
    },
    execution_spec={
        "trigger": {
            "on_demand": {},
        },
    },
    data_quality_spec={
        "rules": [{
            "dimension": "VALIDITY",
            "name": "rule1",
            "description": "rule 1 for validity dimension",
            "table_condition_expectation": {
                "sql_expression": "COUNT(*) 0",
            },
        }],
    },
    project="my-project-name")
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using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;
return await Deployment.RunAsync(() =>
{
    var basicQuality = new Gcp.DataPlex.Datascan("basic_quality", new()
    {
        Location = "us-central1",
        DataScanId = "dataquality-basic",
        Data = new Gcp.DataPlex.Inputs.DatascanDataArgs
        {
            Resource = "//bigquery.googleapis.com/projects/bigquery-public-data/datasets/samples/tables/shakespeare",
        },
        ExecutionSpec = new Gcp.DataPlex.Inputs.DatascanExecutionSpecArgs
        {
            Trigger = new Gcp.DataPlex.Inputs.DatascanExecutionSpecTriggerArgs
            {
                OnDemand = null,
            },
        },
        DataQualitySpec = new Gcp.DataPlex.Inputs.DatascanDataQualitySpecArgs
        {
            Rules = new[]
            {
                new Gcp.DataPlex.Inputs.DatascanDataQualitySpecRuleArgs
                {
                    Dimension = "VALIDITY",
                    Name = "rule1",
                    Description = "rule 1 for validity dimension",
                    TableConditionExpectation = new Gcp.DataPlex.Inputs.DatascanDataQualitySpecRuleTableConditionExpectationArgs
                    {
                        SqlExpression = "COUNT(*) 0",
                    },
                },
            },
        },
        Project = "my-project-name",
    });
});
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package main
import (
	"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/dataplex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := dataplex.NewDatascan(ctx, "basic_quality", &dataplex.DatascanArgs{
			Location:   pulumi.String("us-central1"),
			DataScanId: pulumi.String("dataquality-basic"),
			Data: &dataplex.DatascanDataArgs{
				Resource: pulumi.String("//bigquery.googleapis.com/projects/bigquery-public-data/datasets/samples/tables/shakespeare"),
			},
			ExecutionSpec: &dataplex.DatascanExecutionSpecArgs{
				Trigger: &dataplex.DatascanExecutionSpecTriggerArgs{
					OnDemand: nil,
				},
			},
			DataQualitySpec: &dataplex.DatascanDataQualitySpecArgs{
				Rules: dataplex.DatascanDataQualitySpecRuleArray{
					&dataplex.DatascanDataQualitySpecRuleArgs{
						Dimension:   pulumi.String("VALIDITY"),
						Name:        pulumi.String("rule1"),
						Description: pulumi.String("rule 1 for validity dimension"),
						TableConditionExpectation: &dataplex.DatascanDataQualitySpecRuleTableConditionExpectationArgs{
							SqlExpression: pulumi.String("COUNT(*) 0"),
						},
					},
				},
			},
			Project: pulumi.String("my-project-name"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}
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package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.dataplex.Datascan;
import com.pulumi.gcp.dataplex.DatascanArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanDataArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanExecutionSpecArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanExecutionSpecTriggerArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanExecutionSpecTriggerOnDemandArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanDataQualitySpecArgs;
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 basicQuality = new Datascan("basicQuality", DatascanArgs.builder()
            .location("us-central1")
            .dataScanId("dataquality-basic")
            .data(DatascanDataArgs.builder()
                .resource("//bigquery.googleapis.com/projects/bigquery-public-data/datasets/samples/tables/shakespeare")
                .build())
            .executionSpec(DatascanExecutionSpecArgs.builder()
                .trigger(DatascanExecutionSpecTriggerArgs.builder()
                    .onDemand()
                    .build())
                .build())
            .dataQualitySpec(DatascanDataQualitySpecArgs.builder()
                .rules(DatascanDataQualitySpecRuleArgs.builder()
                    .dimension("VALIDITY")
                    .name("rule1")
                    .description("rule 1 for validity dimension")
                    .tableConditionExpectation(DatascanDataQualitySpecRuleTableConditionExpectationArgs.builder()
                        .sqlExpression("COUNT(*) 0")
                        .build())
                    .build())
                .build())
            .project("my-project-name")
            .build());
    }
}
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resources:
  basicQuality:
    type: gcp:dataplex:Datascan
    name: basic_quality
    properties:
      location: us-central1
      dataScanId: dataquality-basic
      data:
        resource: //bigquery.googleapis.com/projects/bigquery-public-data/datasets/samples/tables/shakespeare
      executionSpec:
        trigger:
          onDemand: {}
      dataQualitySpec:
        rules:
          - dimension: VALIDITY
            name: rule1
            description: rule 1 for validity dimension
            tableConditionExpectation:
              sqlExpression: COUNT(*) 0
      project: my-project-name
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Dataplex Datascan Full Quality

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const fullQuality = new gcp.dataplex.Datascan("full_quality", {
    location: "us-central1",
    displayName: "Full Datascan Quality",
    dataScanId: "dataquality-full",
    description: "Example resource - Full Datascan Quality",
    labels: {
        author: "billing",
    },
    data: {
        resource: "//bigquery.googleapis.com/projects/bigquery-public-data/datasets/austin_bikeshare/tables/bikeshare_stations",
    },
    executionSpec: {
        trigger: {
            schedule: {
                cron: "TZ=America/New_York 1 1 * * *",
            },
        },
        field: "modified_date",
    },
    dataQualitySpec: {
        samplingPercent: 5,
        rowFilter: "station_id 1000",
        rules: [
            {
                column: "address",
                dimension: "VALIDITY",
                threshold: 0.99,
                nonNullExpectation: {},
            },
            {
                column: "council_district",
                dimension: "VALIDITY",
                ignoreNull: true,
                threshold: 0.9,
                rangeExpectation: {
                    minValue: "1",
                    maxValue: "10",
                    strictMinEnabled: true,
                    strictMaxEnabled: false,
                },
            },
            {
                column: "power_type",
                dimension: "VALIDITY",
                ignoreNull: false,
                regexExpectation: {
                    regex: ".*solar.*",
                },
            },
            {
                column: "property_type",
                dimension: "VALIDITY",
                ignoreNull: false,
                setExpectation: {
                    values: [
                        "sidewalk",
                        "parkland",
                    ],
                },
            },
            {
                column: "address",
                dimension: "UNIQUENESS",
                uniquenessExpectation: {},
            },
            {
                column: "number_of_docks",
                dimension: "VALIDITY",
                statisticRangeExpectation: {
                    statistic: "MEAN",
                    minValue: "5",
                    maxValue: "15",
                    strictMinEnabled: true,
                    strictMaxEnabled: true,
                },
            },
            {
                column: "footprint_length",
                dimension: "VALIDITY",
                rowConditionExpectation: {
                    sqlExpression: "footprint_length 0 AND footprint_length <= 10",
                },
            },
            {
                dimension: "VALIDITY",
                tableConditionExpectation: {
                    sqlExpression: "COUNT(*) 0",
                },
            },
            {
                dimension: "VALIDITY",
                sqlAssertion: {
                    sqlStatement: "select * from bigquery-public-data.austin_bikeshare.bikeshare_stations where station_id is null",
                },
            },
        ],
    },
    project: "my-project-name",
});
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import pulumi
import pulumi_gcp as gcp
full_quality = gcp.dataplex.Datascan("full_quality",
    location="us-central1",
    display_name="Full Datascan Quality",
    data_scan_id="dataquality-full",
    description="Example resource - Full Datascan Quality",
    labels={
        "author": "billing",
    },
    data={
        "resource": "//bigquery.googleapis.com/projects/bigquery-public-data/datasets/austin_bikeshare/tables/bikeshare_stations",
    },
    execution_spec={
        "trigger": {
            "schedule": {
                "cron": "TZ=America/New_York 1 1 * * *",
            },
        },
        "field": "modified_date",
    },
    data_quality_spec={
        "sampling_percent": 5,
        "row_filter": "station_id 1000",
        "rules": [
            {
                "column": "address",
                "dimension": "VALIDITY",
                "threshold": 0.99,
                "non_null_expectation": {},
            },
            {
                "column": "council_district",
                "dimension": "VALIDITY",
                "ignore_null": True,
                "threshold": 0.9,
                "range_expectation": {
                    "min_value": "1",
                    "max_value": "10",
                    "strict_min_enabled": True,
                    "strict_max_enabled": False,
                },
            },
            {
                "column": "power_type",
                "dimension": "VALIDITY",
                "ignore_null": False,
                "regex_expectation": {
                    "regex": ".*solar.*",
                },
            },
            {
                "column": "property_type",
                "dimension": "VALIDITY",
                "ignore_null": False,
                "set_expectation": {
                    "values": [
                        "sidewalk",
                        "parkland",
                    ],
                },
            },
            {
                "column": "address",
                "dimension": "UNIQUENESS",
                "uniqueness_expectation": {},
            },
            {
                "column": "number_of_docks",
                "dimension": "VALIDITY",
                "statistic_range_expectation": {
                    "statistic": "MEAN",
                    "min_value": "5",
                    "max_value": "15",
                    "strict_min_enabled": True,
                    "strict_max_enabled": True,
                },
            },
            {
                "column": "footprint_length",
                "dimension": "VALIDITY",
                "row_condition_expectation": {
                    "sql_expression": "footprint_length 0 AND footprint_length <= 10",
                },
            },
            {
                "dimension": "VALIDITY",
                "table_condition_expectation": {
                    "sql_expression": "COUNT(*) 0",
                },
            },
            {
                "dimension": "VALIDITY",
                "sql_assertion": {
                    "sql_statement": "select * from bigquery-public-data.austin_bikeshare.bikeshare_stations where station_id is null",
                },
            },
        ],
    },
    project="my-project-name")
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using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;
return await Deployment.RunAsync(() =>
{
    var fullQuality = new Gcp.DataPlex.Datascan("full_quality", new()
    {
        Location = "us-central1",
        DisplayName = "Full Datascan Quality",
        DataScanId = "dataquality-full",
        Description = "Example resource - Full Datascan Quality",
        Labels =
        {
            { "author", "billing" },
        },
        Data = new Gcp.DataPlex.Inputs.DatascanDataArgs
        {
            Resource = "//bigquery.googleapis.com/projects/bigquery-public-data/datasets/austin_bikeshare/tables/bikeshare_stations",
        },
        ExecutionSpec = new Gcp.DataPlex.Inputs.DatascanExecutionSpecArgs
        {
            Trigger = new Gcp.DataPlex.Inputs.DatascanExecutionSpecTriggerArgs
            {
                Schedule = new Gcp.DataPlex.Inputs.DatascanExecutionSpecTriggerScheduleArgs
                {
                    Cron = "TZ=America/New_York 1 1 * * *",
                },
            },
            Field = "modified_date",
        },
        DataQualitySpec = new Gcp.DataPlex.Inputs.DatascanDataQualitySpecArgs
        {
            SamplingPercent = 5,
            RowFilter = "station_id 1000",
            Rules = new[]
            {
                new Gcp.DataPlex.Inputs.DatascanDataQualitySpecRuleArgs
                {
                    Column = "address",
                    Dimension = "VALIDITY",
                    Threshold = 0.99,
                    NonNullExpectation = null,
                },
                new Gcp.DataPlex.Inputs.DatascanDataQualitySpecRuleArgs
                {
                    Column = "council_district",
                    Dimension = "VALIDITY",
                    IgnoreNull = true,
                    Threshold = 0.9,
                    RangeExpectation = new Gcp.DataPlex.Inputs.DatascanDataQualitySpecRuleRangeExpectationArgs
                    {
                        MinValue = "1",
                        MaxValue = "10",
                        StrictMinEnabled = true,
                        StrictMaxEnabled = false,
                    },
                },
                new Gcp.DataPlex.Inputs.DatascanDataQualitySpecRuleArgs
                {
                    Column = "power_type",
                    Dimension = "VALIDITY",
                    IgnoreNull = false,
                    RegexExpectation = new Gcp.DataPlex.Inputs.DatascanDataQualitySpecRuleRegexExpectationArgs
                    {
                        Regex = ".*solar.*",
                    },
                },
                new Gcp.DataPlex.Inputs.DatascanDataQualitySpecRuleArgs
                {
                    Column = "property_type",
                    Dimension = "VALIDITY",
                    IgnoreNull = false,
                    SetExpectation = new Gcp.DataPlex.Inputs.DatascanDataQualitySpecRuleSetExpectationArgs
                    {
                        Values = new[]
                        {
                            "sidewalk",
                            "parkland",
                        },
                    },
                },
                new Gcp.DataPlex.Inputs.DatascanDataQualitySpecRuleArgs
                {
                    Column = "address",
                    Dimension = "UNIQUENESS",
                    UniquenessExpectation = null,
                },
                new Gcp.DataPlex.Inputs.DatascanDataQualitySpecRuleArgs
                {
                    Column = "number_of_docks",
                    Dimension = "VALIDITY",
                    StatisticRangeExpectation = new Gcp.DataPlex.Inputs.DatascanDataQualitySpecRuleStatisticRangeExpectationArgs
                    {
                        Statistic = "MEAN",
                        MinValue = "5",
                        MaxValue = "15",
                        StrictMinEnabled = true,
                        StrictMaxEnabled = true,
                    },
                },
                new Gcp.DataPlex.Inputs.DatascanDataQualitySpecRuleArgs
                {
                    Column = "footprint_length",
                    Dimension = "VALIDITY",
                    RowConditionExpectation = new Gcp.DataPlex.Inputs.DatascanDataQualitySpecRuleRowConditionExpectationArgs
                    {
                        SqlExpression = "footprint_length 0 AND footprint_length <= 10",
                    },
                },
                new Gcp.DataPlex.Inputs.DatascanDataQualitySpecRuleArgs
                {
                    Dimension = "VALIDITY",
                    TableConditionExpectation = new Gcp.DataPlex.Inputs.DatascanDataQualitySpecRuleTableConditionExpectationArgs
                    {
                        SqlExpression = "COUNT(*) 0",
                    },
                },
                new Gcp.DataPlex.Inputs.DatascanDataQualitySpecRuleArgs
                {
                    Dimension = "VALIDITY",
                    SqlAssertion = new Gcp.DataPlex.Inputs.DatascanDataQualitySpecRuleSqlAssertionArgs
                    {
                        SqlStatement = "select * from bigquery-public-data.austin_bikeshare.bikeshare_stations where station_id is null",
                    },
                },
            },
        },
        Project = "my-project-name",
    });
});
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package main
import (
	"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/dataplex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := dataplex.NewDatascan(ctx, "full_quality", &dataplex.DatascanArgs{
			Location:    pulumi.String("us-central1"),
			DisplayName: pulumi.String("Full Datascan Quality"),
			DataScanId:  pulumi.String("dataquality-full"),
			Description: pulumi.String("Example resource - Full Datascan Quality"),
			Labels: pulumi.StringMap{
				"author": pulumi.String("billing"),
			},
			Data: &dataplex.DatascanDataArgs{
				Resource: pulumi.String("//bigquery.googleapis.com/projects/bigquery-public-data/datasets/austin_bikeshare/tables/bikeshare_stations"),
			},
			ExecutionSpec: &dataplex.DatascanExecutionSpecArgs{
				Trigger: &dataplex.DatascanExecutionSpecTriggerArgs{
					Schedule: &dataplex.DatascanExecutionSpecTriggerScheduleArgs{
						Cron: pulumi.String("TZ=America/New_York 1 1 * * *"),
					},
				},
				Field: pulumi.String("modified_date"),
			},
			DataQualitySpec: &dataplex.DatascanDataQualitySpecArgs{
				SamplingPercent: pulumi.Float64(5),
				RowFilter:       pulumi.String("station_id 1000"),
				Rules: dataplex.DatascanDataQualitySpecRuleArray{
					&dataplex.DatascanDataQualitySpecRuleArgs{
						Column:             pulumi.String("address"),
						Dimension:          pulumi.String("VALIDITY"),
						Threshold:          pulumi.Float64(0.99),
						NonNullExpectation: nil,
					},
					&dataplex.DatascanDataQualitySpecRuleArgs{
						Column:     pulumi.String("council_district"),
						Dimension:  pulumi.String("VALIDITY"),
						IgnoreNull: pulumi.Bool(true),
						Threshold:  pulumi.Float64(0.9),
						RangeExpectation: &dataplex.DatascanDataQualitySpecRuleRangeExpectationArgs{
							MinValue:         pulumi.String("1"),
							MaxValue:         pulumi.String("10"),
							StrictMinEnabled: pulumi.Bool(true),
							StrictMaxEnabled: pulumi.Bool(false),
						},
					},
					&dataplex.DatascanDataQualitySpecRuleArgs{
						Column:     pulumi.String("power_type"),
						Dimension:  pulumi.String("VALIDITY"),
						IgnoreNull: pulumi.Bool(false),
						RegexExpectation: &dataplex.DatascanDataQualitySpecRuleRegexExpectationArgs{
							Regex: pulumi.String(".*solar.*"),
						},
					},
					&dataplex.DatascanDataQualitySpecRuleArgs{
						Column:     pulumi.String("property_type"),
						Dimension:  pulumi.String("VALIDITY"),
						IgnoreNull: pulumi.Bool(false),
						SetExpectation: &dataplex.DatascanDataQualitySpecRuleSetExpectationArgs{
							Values: pulumi.StringArray{
								pulumi.String("sidewalk"),
								pulumi.String("parkland"),
							},
						},
					},
					&dataplex.DatascanDataQualitySpecRuleArgs{
						Column:                pulumi.String("address"),
						Dimension:             pulumi.String("UNIQUENESS"),
						UniquenessExpectation: nil,
					},
					&dataplex.DatascanDataQualitySpecRuleArgs{
						Column:    pulumi.String("number_of_docks"),
						Dimension: pulumi.String("VALIDITY"),
						StatisticRangeExpectation: &dataplex.DatascanDataQualitySpecRuleStatisticRangeExpectationArgs{
							Statistic:        pulumi.String("MEAN"),
							MinValue:         pulumi.String("5"),
							MaxValue:         pulumi.String("15"),
							StrictMinEnabled: pulumi.Bool(true),
							StrictMaxEnabled: pulumi.Bool(true),
						},
					},
					&dataplex.DatascanDataQualitySpecRuleArgs{
						Column:    pulumi.String("footprint_length"),
						Dimension: pulumi.String("VALIDITY"),
						RowConditionExpectation: &dataplex.DatascanDataQualitySpecRuleRowConditionExpectationArgs{
							SqlExpression: pulumi.String("footprint_length 0 AND footprint_length <= 10"),
						},
					},
					&dataplex.DatascanDataQualitySpecRuleArgs{
						Dimension: pulumi.String("VALIDITY"),
						TableConditionExpectation: &dataplex.DatascanDataQualitySpecRuleTableConditionExpectationArgs{
							SqlExpression: pulumi.String("COUNT(*) 0"),
						},
					},
					&dataplex.DatascanDataQualitySpecRuleArgs{
						Dimension: pulumi.String("VALIDITY"),
						SqlAssertion: &dataplex.DatascanDataQualitySpecRuleSqlAssertionArgs{
							SqlStatement: pulumi.String("select * from bigquery-public-data.austin_bikeshare.bikeshare_stations where station_id is null"),
						},
					},
				},
			},
			Project: pulumi.String("my-project-name"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}
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package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.dataplex.Datascan;
import com.pulumi.gcp.dataplex.DatascanArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanDataArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanExecutionSpecArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanExecutionSpecTriggerArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanExecutionSpecTriggerScheduleArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanDataQualitySpecArgs;
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 fullQuality = new Datascan("fullQuality", DatascanArgs.builder()
            .location("us-central1")
            .displayName("Full Datascan Quality")
            .dataScanId("dataquality-full")
            .description("Example resource - Full Datascan Quality")
            .labels(Map.of("author", "billing"))
            .data(DatascanDataArgs.builder()
                .resource("//bigquery.googleapis.com/projects/bigquery-public-data/datasets/austin_bikeshare/tables/bikeshare_stations")
                .build())
            .executionSpec(DatascanExecutionSpecArgs.builder()
                .trigger(DatascanExecutionSpecTriggerArgs.builder()
                    .schedule(DatascanExecutionSpecTriggerScheduleArgs.builder()
                        .cron("TZ=America/New_York 1 1 * * *")
                        .build())
                    .build())
                .field("modified_date")
                .build())
            .dataQualitySpec(DatascanDataQualitySpecArgs.builder()
                .samplingPercent(5)
                .rowFilter("station_id 1000")
                .rules(
                    DatascanDataQualitySpecRuleArgs.builder()
                        .column("address")
                        .dimension("VALIDITY")
                        .threshold(0.99)
                        .nonNullExpectation()
                        .build(),
                    DatascanDataQualitySpecRuleArgs.builder()
                        .column("council_district")
                        .dimension("VALIDITY")
                        .ignoreNull(true)
                        .threshold(0.9)
                        .rangeExpectation(DatascanDataQualitySpecRuleRangeExpectationArgs.builder()
                            .minValue(1)
                            .maxValue(10)
                            .strictMinEnabled(true)
                            .strictMaxEnabled(false)
                            .build())
                        .build(),
                    DatascanDataQualitySpecRuleArgs.builder()
                        .column("power_type")
                        .dimension("VALIDITY")
                        .ignoreNull(false)
                        .regexExpectation(DatascanDataQualitySpecRuleRegexExpectationArgs.builder()
                            .regex(".*solar.*")
                            .build())
                        .build(),
                    DatascanDataQualitySpecRuleArgs.builder()
                        .column("property_type")
                        .dimension("VALIDITY")
                        .ignoreNull(false)
                        .setExpectation(DatascanDataQualitySpecRuleSetExpectationArgs.builder()
                            .values(
                                "sidewalk",
                                "parkland")
                            .build())
                        .build(),
                    DatascanDataQualitySpecRuleArgs.builder()
                        .column("address")
                        .dimension("UNIQUENESS")
                        .uniquenessExpectation()
                        .build(),
                    DatascanDataQualitySpecRuleArgs.builder()
                        .column("number_of_docks")
                        .dimension("VALIDITY")
                        .statisticRangeExpectation(DatascanDataQualitySpecRuleStatisticRangeExpectationArgs.builder()
                            .statistic("MEAN")
                            .minValue(5)
                            .maxValue(15)
                            .strictMinEnabled(true)
                            .strictMaxEnabled(true)
                            .build())
                        .build(),
                    DatascanDataQualitySpecRuleArgs.builder()
                        .column("footprint_length")
                        .dimension("VALIDITY")
                        .rowConditionExpectation(DatascanDataQualitySpecRuleRowConditionExpectationArgs.builder()
                            .sqlExpression("footprint_length 0 AND footprint_length <= 10")
                            .build())
                        .build(),
                    DatascanDataQualitySpecRuleArgs.builder()
                        .dimension("VALIDITY")
                        .tableConditionExpectation(DatascanDataQualitySpecRuleTableConditionExpectationArgs.builder()
                            .sqlExpression("COUNT(*) 0")
                            .build())
                        .build(),
                    DatascanDataQualitySpecRuleArgs.builder()
                        .dimension("VALIDITY")
                        .sqlAssertion(DatascanDataQualitySpecRuleSqlAssertionArgs.builder()
                            .sqlStatement("select * from bigquery-public-data.austin_bikeshare.bikeshare_stations where station_id is null")
                            .build())
                        .build())
                .build())
            .project("my-project-name")
            .build());
    }
}
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resources:
  fullQuality:
    type: gcp:dataplex:Datascan
    name: full_quality
    properties:
      location: us-central1
      displayName: Full Datascan Quality
      dataScanId: dataquality-full
      description: Example resource - Full Datascan Quality
      labels:
        author: billing
      data:
        resource: //bigquery.googleapis.com/projects/bigquery-public-data/datasets/austin_bikeshare/tables/bikeshare_stations
      executionSpec:
        trigger:
          schedule:
            cron: TZ=America/New_York 1 1 * * *
        field: modified_date
      dataQualitySpec:
        samplingPercent: 5
        rowFilter: station_id 1000
        rules:
          - column: address
            dimension: VALIDITY
            threshold: 0.99
            nonNullExpectation: {}
          - column: council_district
            dimension: VALIDITY
            ignoreNull: true
            threshold: 0.9
            rangeExpectation:
              minValue: 1
              maxValue: 10
              strictMinEnabled: true
              strictMaxEnabled: false
          - column: power_type
            dimension: VALIDITY
            ignoreNull: false
            regexExpectation:
              regex: .*solar.*
          - column: property_type
            dimension: VALIDITY
            ignoreNull: false
            setExpectation:
              values:
                - sidewalk
                - parkland
          - column: address
            dimension: UNIQUENESS
            uniquenessExpectation: {}
          - column: number_of_docks
            dimension: VALIDITY
            statisticRangeExpectation:
              statistic: MEAN
              minValue: 5
              maxValue: 15
              strictMinEnabled: true
              strictMaxEnabled: true
          - column: footprint_length
            dimension: VALIDITY
            rowConditionExpectation:
              sqlExpression: footprint_length 0 AND footprint_length <= 10
          - dimension: VALIDITY
            tableConditionExpectation:
              sqlExpression: COUNT(*) 0
          - dimension: VALIDITY
            sqlAssertion:
              sqlStatement: select * from bigquery-public-data.austin_bikeshare.bikeshare_stations where station_id is null
      project: my-project-name
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Import

Datascan can be imported using any of these accepted formats:

  • projects/{{project}}/locations/{{location}}/dataScans/{{data_scan_id}}

  • {{project}}/{{location}}/{{data_scan_id}}

  • {{location}}/{{data_scan_id}}

  • {{data_scan_id}} When using the pulumi import command, Datascan can be imported using one of the formats above. For example:

$ pulumi import gcp:dataplex/datascan:Datascan default projects/{{project}}/locations/{{location}}/dataScans/{{data_scan_id}}
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$ pulumi import gcp:dataplex/datascan:Datascan default {{project}}/{{location}}/{{data_scan_id}}
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$ pulumi import gcp:dataplex/datascan:Datascan default {{location}}/{{data_scan_id}}
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$ pulumi import gcp:dataplex/datascan:Datascan default {{data_scan_id}}
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Constructors

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constructor(data: Output<DatascanDataArgs>? = null, dataProfileSpec: Output<DatascanDataProfileSpecArgs>? = null, dataQualitySpec: Output<DatascanDataQualitySpecArgs>? = null, dataScanId: Output<String>? = null, description: Output<String>? = null, displayName: Output<String>? = null, executionSpec: Output<DatascanExecutionSpecArgs>? = null, labels: Output<Map<String, String>>? = null, location: Output<String>? = null, project: Output<String>? = null)

Properties

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val data: Output<DatascanDataArgs>? = null

The data source for DataScan. Structure is documented below.

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val dataProfileSpec: Output<DatascanDataProfileSpecArgs>? = null

DataProfileScan related setting.

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val dataQualitySpec: Output<DatascanDataQualitySpecArgs>? = null

DataQualityScan related setting.

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val dataScanId: Output<String>? = null

DataScan identifier. Must contain only lowercase letters, numbers and hyphens. Must start with a letter. Must end with a number or a letter.

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val description: Output<String>? = null

Description of the scan.

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val displayName: Output<String>? = null

User friendly display name.

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val executionSpec: Output<DatascanExecutionSpecArgs>? = null

DataScan execution settings. Structure is documented below.

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val labels: Output<Map<String, String>>? = null

User-defined labels for the scan. A list of key->value pairs. Note: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field 'effective_labels' for all of the labels present on the resource.

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val location: Output<String>? = null

The location where the data scan should reside.

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val project: Output<String>? = null

Functions

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open override fun toJava(): DatascanArgs