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Build cloud applications and infrastructure by combining the safety and reliability of infrastructure as code with the power of the Kotlin programming language.

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@file:Suppress("NAME_SHADOWING", "DEPRECATION")

package com.pulumi.gcp.dataloss.kotlin.inputs

import com.pulumi.core.Output
import com.pulumi.core.Output.of
import com.pulumi.gcp.dataloss.inputs.PreventionDiscoveryConfigActionExportDataArgs.builder
import com.pulumi.kotlin.ConvertibleToJava
import com.pulumi.kotlin.PulumiTagMarker
import com.pulumi.kotlin.applySuspend
import kotlin.Suppress
import kotlin.Unit
import kotlin.jvm.JvmName

/**
 *
 * @property profileTable Store all table and column profiles in an existing table or a new table in an existing dataset. Each re-generation will result in a new row in BigQuery
 * Structure is documented below.
 */
public data class PreventionDiscoveryConfigActionExportDataArgs(
    public val profileTable: Output? =
        null,
) : ConvertibleToJava {
    override fun toJava(): com.pulumi.gcp.dataloss.inputs.PreventionDiscoveryConfigActionExportDataArgs =
        com.pulumi.gcp.dataloss.inputs.PreventionDiscoveryConfigActionExportDataArgs.builder()
            .profileTable(profileTable?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) })).build()
}

/**
 * Builder for [PreventionDiscoveryConfigActionExportDataArgs].
 */
@PulumiTagMarker
public class PreventionDiscoveryConfigActionExportDataArgsBuilder internal constructor() {
    private var profileTable: Output? =
        null

    /**
     * @param value Store all table and column profiles in an existing table or a new table in an existing dataset. Each re-generation will result in a new row in BigQuery
     * Structure is documented below.
     */
    @JvmName("acgjsreanyrvgsti")
    public suspend fun profileTable(`value`: Output) {
        this.profileTable = value
    }

    /**
     * @param value Store all table and column profiles in an existing table or a new table in an existing dataset. Each re-generation will result in a new row in BigQuery
     * Structure is documented below.
     */
    @JvmName("blrenmrbhwnwfqjm")
    public suspend fun profileTable(`value`: PreventionDiscoveryConfigActionExportDataProfileTableArgs?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.profileTable = mapped
    }

    /**
     * @param argument Store all table and column profiles in an existing table or a new table in an existing dataset. Each re-generation will result in a new row in BigQuery
     * Structure is documented below.
     */
    @JvmName("hhqojdplxpbvkncg")
    public suspend fun profileTable(argument: suspend PreventionDiscoveryConfigActionExportDataProfileTableArgsBuilder.() -> Unit) {
        val toBeMapped =
            PreventionDiscoveryConfigActionExportDataProfileTableArgsBuilder().applySuspend {
                argument()
            }.build()
        val mapped = of(toBeMapped)
        this.profileTable = mapped
    }

    internal fun build(): PreventionDiscoveryConfigActionExportDataArgs =
        PreventionDiscoveryConfigActionExportDataArgs(
            profileTable = profileTable,
        )
}




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