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• ReferenceDataSource.kt

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commonMain.aws.sdk.kotlin.services.kinesisanalytics.model.ReferenceDataSource.kt Maven / Gradle / Ivy

// Code generated by smithy-kotlin-codegen. DO NOT EDIT!

package aws.sdk.kotlin.services.kinesisanalytics.model

import aws.smithy.kotlin.runtime.SdkDsl

/**
 * Describes the reference data source by providing the source information (S3 bucket name and object key name), the resulting in-application table name that is created, and the necessary schema to map the data elements in the Amazon S3 object to the in-application table.
 */
public class ReferenceDataSource private constructor(builder: Builder) {
    /**
     * Describes the format of the data in the streaming source, and how each data element maps to corresponding columns created in the in-application stream.
     */
    public val referenceSchema: aws.sdk.kotlin.services.kinesisanalytics.model.SourceSchema? = builder.referenceSchema
    /**
     * Identifies the S3 bucket and object that contains the reference data. Also identifies the IAM role Amazon Kinesis Analytics can assume to read this object on your behalf. An Amazon Kinesis Analytics application loads reference data only once. If the data changes, you call the `UpdateApplication` operation to trigger reloading of data into your application.
     */
    public val s3ReferenceDataSource: aws.sdk.kotlin.services.kinesisanalytics.model.S3ReferenceDataSource? = builder.s3ReferenceDataSource
    /**
     * Name of the in-application table to create.
     */
    public val tableName: kotlin.String = requireNotNull(builder.tableName) { "A non-null value must be provided for tableName" }

    public companion object {
        public operator fun invoke(block: Builder.() -> kotlin.Unit): aws.sdk.kotlin.services.kinesisanalytics.model.ReferenceDataSource = Builder().apply(block).build()
    }

    override fun toString(): kotlin.String = buildString {
        append("ReferenceDataSource(")
        append("referenceSchema=$referenceSchema,")
        append("s3ReferenceDataSource=$s3ReferenceDataSource,")
        append("tableName=$tableName")
        append(")")
    }

    override fun hashCode(): kotlin.Int {
        var result = referenceSchema?.hashCode() ?: 0
        result = 31 * result + (s3ReferenceDataSource?.hashCode() ?: 0)
        result = 31 * result + (tableName.hashCode())
        return result
    }

    override fun equals(other: kotlin.Any?): kotlin.Boolean {
        if (this === other) return true
        if (other == null || this::class != other::class) return false

        other as ReferenceDataSource

        if (referenceSchema != other.referenceSchema) return false
        if (s3ReferenceDataSource != other.s3ReferenceDataSource) return false
        if (tableName != other.tableName) return false

        return true
    }

    public inline fun copy(block: Builder.() -> kotlin.Unit = {}): aws.sdk.kotlin.services.kinesisanalytics.model.ReferenceDataSource = Builder(this).apply(block).build()

    @SdkDsl
    public class Builder {
        /**
         * Describes the format of the data in the streaming source, and how each data element maps to corresponding columns created in the in-application stream.
         */
        public var referenceSchema: aws.sdk.kotlin.services.kinesisanalytics.model.SourceSchema? = null
        /**
         * Identifies the S3 bucket and object that contains the reference data. Also identifies the IAM role Amazon Kinesis Analytics can assume to read this object on your behalf. An Amazon Kinesis Analytics application loads reference data only once. If the data changes, you call the `UpdateApplication` operation to trigger reloading of data into your application.
         */
        public var s3ReferenceDataSource: aws.sdk.kotlin.services.kinesisanalytics.model.S3ReferenceDataSource? = null
        /**
         * Name of the in-application table to create.
         */
        public var tableName: kotlin.String? = null

        @PublishedApi
        internal constructor()
        @PublishedApi
        internal constructor(x: aws.sdk.kotlin.services.kinesisanalytics.model.ReferenceDataSource) : this() {
            this.referenceSchema = x.referenceSchema
            this.s3ReferenceDataSource = x.s3ReferenceDataSource
            this.tableName = x.tableName
        }

        @PublishedApi
        internal fun build(): aws.sdk.kotlin.services.kinesisanalytics.model.ReferenceDataSource = ReferenceDataSource(this)

        /**
         * construct an [aws.sdk.kotlin.services.kinesisanalytics.model.SourceSchema] inside the given [block]
         */
        public fun referenceSchema(block: aws.sdk.kotlin.services.kinesisanalytics.model.SourceSchema.Builder.() -> kotlin.Unit) {
            this.referenceSchema = aws.sdk.kotlin.services.kinesisanalytics.model.SourceSchema.invoke(block)
        }

        /**
         * construct an [aws.sdk.kotlin.services.kinesisanalytics.model.S3ReferenceDataSource] inside the given [block]
         */
        public fun s3ReferenceDataSource(block: aws.sdk.kotlin.services.kinesisanalytics.model.S3ReferenceDataSource.Builder.() -> kotlin.Unit) {
            this.s3ReferenceDataSource = aws.sdk.kotlin.services.kinesisanalytics.model.S3ReferenceDataSource.invoke(block)
        }

        internal fun correctErrors(): Builder {
            if (tableName == null) tableName = ""
            return this
        }
    }
}