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

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.DatascanDataProfileSpecArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanExecutionSpecArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanExecutionSpecTriggerArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanExecutionSpecTriggerOnDemandArgs;
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()
            .data(DatascanDataArgs.builder()
                .resource("//bigquery.googleapis.com/projects/bigquery-public-data/datasets/samples/tables/shakespeare")
                .build())
            .dataProfileSpec()
            .dataScanId("dataprofile-basic")
            .executionSpec(DatascanExecutionSpecArgs.builder()
                .trigger(DatascanExecutionSpecTriggerArgs.builder()
                    .onDemand()
                    .build())
                .build())
            .location("us-central1")
            .project("my-project-name")
            .build());
    }
}
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Dataplex Datascan Full Profile

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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Dataplex Datascan Basic Quality

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.DatascanDataQualitySpecArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanExecutionSpecArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanExecutionSpecTriggerArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanExecutionSpecTriggerOnDemandArgs;
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()
            .data(DatascanDataArgs.builder()
                .resource("//bigquery.googleapis.com/projects/bigquery-public-data/datasets/samples/tables/shakespeare")
                .build())
            .dataQualitySpec(DatascanDataQualitySpecArgs.builder()
                .rules(DatascanDataQualitySpecRuleArgs.builder()
                    .description("rule 1 for validity dimension")
                    .dimension("VALIDITY")
                    .name("rule1")
                    .tableConditionExpectation(DatascanDataQualitySpecRuleTableConditionExpectationArgs.builder()
                        .sqlExpression("COUNT(*) 0")
                        .build())
                    .build())
                .build())
            .dataScanId("dataquality-basic")
            .executionSpec(DatascanExecutionSpecArgs.builder()
                .trigger(DatascanExecutionSpecTriggerArgs.builder()
                    .onDemand()
                    .build())
                .build())
            .location("us-central1")
            .project("my-project-name")
            .build());
    }
}
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Dataplex Datascan Full Quality

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.DatascanDataQualitySpecArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanExecutionSpecArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanExecutionSpecTriggerArgs;
import com.pulumi.gcp.dataplex.inputs.DatascanExecutionSpecTriggerScheduleArgs;
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()
            .data(DatascanDataArgs.builder()
                .resource("//bigquery.googleapis.com/projects/bigquery-public-data/datasets/austin_bikeshare/tables/bikeshare_stations")
                .build())
            .dataQualitySpec(DatascanDataQualitySpecArgs.builder()
                .rowFilter("station_id 1000")
                .rules(
                    DatascanDataQualitySpecRuleArgs.builder()
                        .column("address")
                        .dimension("VALIDITY")
                        .nonNullExpectation()
                        .threshold(0.99)
                        .build(),
                    DatascanDataQualitySpecRuleArgs.builder()
                        .column("council_district")
                        .dimension("VALIDITY")
                        .ignoreNull(true)
                        .rangeExpectation(DatascanDataQualitySpecRuleRangeExpectationArgs.builder()
                            .maxValue(10)
                            .minValue(1)
                            .strictMaxEnabled(false)
                            .strictMinEnabled(true)
                            .build())
                        .threshold(0.9)
                        .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()
                            .maxValue(15)
                            .minValue(5)
                            .statistic("MEAN")
                            .strictMaxEnabled(true)
                            .strictMinEnabled(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())
                .samplingPercent(5)
                .build())
            .dataScanId("dataquality-full")
            .description("Example resource - Full Datascan Quality")
            .displayName("Full Datascan Quality")
            .executionSpec(DatascanExecutionSpecArgs.builder()
                .field("modified_date")
                .trigger(DatascanExecutionSpecTriggerArgs.builder()
                    .schedule(DatascanExecutionSpecTriggerScheduleArgs.builder()
                        .cron("TZ=America/New_York 1 1 * * *")
                        .build())
                    .build())
                .build())
            .labels(Map.of("author", "billing"))
            .location("us-central1")
            .project("my-project-name")
            .build());
    }
}
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Import

Datascan can be imported using any of these accepted formats

$ 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. Structure is documented below.

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val dataQualitySpec: Output<DatascanDataQualitySpecArgs>? = null

DataQualityScan related setting. Structure is documented below.

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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 rule. The maximum length is 1,024 characters.

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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.

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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

The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

Functions

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open override fun toJava(): DatascanArgs