![JAR search and dependency download from the Maven repository](/logo.png)
com.pulumi.azurenative.datafactory.kotlin.outputs.SapTablePartitionSettingsResponse.kt Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of pulumi-azure-native-kotlin Show documentation
Show all versions of pulumi-azure-native-kotlin Show documentation
Build cloud applications and infrastructure by combining the safety and reliability of infrastructure as code with the power of the Kotlin programming language.
@file:Suppress("NAME_SHADOWING", "DEPRECATION")
package com.pulumi.azurenative.datafactory.kotlin.outputs
import kotlin.Any
import kotlin.Suppress
/**
* The settings that will be leveraged for SAP table source partitioning.
* @property maxPartitionsNumber The maximum value of partitions the table will be split into. Type: integer (or Expression with resultType string).
* @property partitionColumnName The name of the column that will be used for proceeding range partitioning. Type: string (or Expression with resultType string).
* @property partitionLowerBound The minimum value of column specified in partitionColumnName that will be used for proceeding range partitioning. Type: string (or Expression with resultType string).
* @property partitionUpperBound The maximum value of column specified in partitionColumnName that will be used for proceeding range partitioning. Type: string (or Expression with resultType string).
*/
public data class SapTablePartitionSettingsResponse(
public val maxPartitionsNumber: Any? = null,
public val partitionColumnName: Any? = null,
public val partitionLowerBound: Any? = null,
public val partitionUpperBound: Any? = null,
) {
public companion object {
public fun toKotlin(javaType: com.pulumi.azurenative.datafactory.outputs.SapTablePartitionSettingsResponse): SapTablePartitionSettingsResponse = SapTablePartitionSettingsResponse(
maxPartitionsNumber = javaType.maxPartitionsNumber().map({ args0 -> args0 }).orElse(null),
partitionColumnName = javaType.partitionColumnName().map({ args0 -> args0 }).orElse(null),
partitionLowerBound = javaType.partitionLowerBound().map({ args0 -> args0 }).orElse(null),
partitionUpperBound = javaType.partitionUpperBound().map({ args0 -> args0 }).orElse(null),
)
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy