ClassificationJobArgs

data class ClassificationJobArgs(val customDataIdentifierIds: Output<List<String>>? = null, val description: Output<String>? = null, val initialRun: Output<Boolean>? = null, val jobStatus: Output<String>? = null, val jobType: Output<String>? = null, val name: Output<String>? = null, val namePrefix: Output<String>? = null, val s3JobDefinition: Output<ClassificationJobS3JobDefinitionArgs>? = null, val samplingPercentage: Output<Int>? = null, val scheduleFrequency: Output<ClassificationJobScheduleFrequencyArgs>? = null, val tags: Output<Map<String, String>>? = null) : ConvertibleToJava<ClassificationJobArgs>

Provides a resource to manage an AWS Macie Classification Job.

Example Usage

package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.macie2.Account;
import com.pulumi.aws.macie2.ClassificationJob;
import com.pulumi.aws.macie2.ClassificationJobArgs;
import com.pulumi.aws.macie2.inputs.ClassificationJobS3JobDefinitionArgs;
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 testAccount = new Account("testAccount");
var testClassificationJob = new ClassificationJob("testClassificationJob", ClassificationJobArgs.builder()
.jobType("ONE_TIME")
.s3JobDefinition(ClassificationJobS3JobDefinitionArgs.builder()
.bucketDefinitions(ClassificationJobS3JobDefinitionBucketDefinitionArgs.builder()
.accountId("ACCOUNT ID")
.buckets("S3 BUCKET NAME")
.build())
.build())
.build(), CustomResourceOptions.builder()
.dependsOn(testAccount)
.build());
}
}

Import

aws_macie2_classification_job can be imported using the id, e.g.,

$ pulumi import aws:macie2/classificationJob:ClassificationJob example abcd1

Constructors

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constructor(customDataIdentifierIds: Output<List<String>>? = null, description: Output<String>? = null, initialRun: Output<Boolean>? = null, jobStatus: Output<String>? = null, jobType: Output<String>? = null, name: Output<String>? = null, namePrefix: Output<String>? = null, s3JobDefinition: Output<ClassificationJobS3JobDefinitionArgs>? = null, samplingPercentage: Output<Int>? = null, scheduleFrequency: Output<ClassificationJobScheduleFrequencyArgs>? = null, tags: Output<Map<String, String>>? = null)

Properties

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val customDataIdentifierIds: Output<List<String>>? = null

The custom data identifiers to use for data analysis and classification.

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val description: Output<String>? = null

A custom description of the job. The description can contain as many as 200 characters.

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val initialRun: Output<Boolean>? = null

Specifies whether to analyze all existing, eligible objects immediately after the job is created.

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val jobStatus: Output<String>? = null

The status for the job. Valid values are: CANCELLED, RUNNING and USER_PAUSED

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val jobType: Output<String>? = null

The schedule for running the job. Valid values are: ONE_TIME - Run the job only once. If you specify this value, don't specify a value for the schedule_frequency property. SCHEDULED - Run the job on a daily, weekly, or monthly basis. If you specify this value, use the schedule_frequency property to define the recurrence pattern for the job.

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val name: Output<String>? = null

A custom name for the job. The name can contain as many as 500 characters. If omitted, the provider will assign a random, unique name. Conflicts with name_prefix.

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val namePrefix: Output<String>? = null

Creates a unique name beginning with the specified prefix. Conflicts with name.

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The S3 buckets that contain the objects to analyze, and the scope of that analysis. (documented below)

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val samplingPercentage: Output<Int>? = null

The sampling depth, as a percentage, to apply when processing objects. This value determines the percentage of eligible objects that the job analyzes. If this value is less than 100, Amazon Macie selects the objects to analyze at random, up to the specified percentage, and analyzes all the data in those objects.

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The recurrence pattern for running the job. To run the job only once, don't specify a value for this property and set the value for the job_type property to ONE_TIME. (documented below)

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

A map of key-value pairs that specifies the tags to associate with the job. A job can have a maximum of 50 tags. Each tag consists of a tag key and an associated tag value. The maximum length of a tag key is 128 characters. The maximum length of a tag value is 256 characters.

Functions

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open override fun toJava(): ClassificationJobArgs