com.pulumi.azurenative.synapse.kotlin.BigDataPool.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.synapse.kotlin
import com.pulumi.azurenative.synapse.kotlin.outputs.AutoPausePropertiesResponse
import com.pulumi.azurenative.synapse.kotlin.outputs.AutoScalePropertiesResponse
import com.pulumi.azurenative.synapse.kotlin.outputs.DynamicExecutorAllocationResponse
import com.pulumi.azurenative.synapse.kotlin.outputs.LibraryInfoResponse
import com.pulumi.azurenative.synapse.kotlin.outputs.LibraryRequirementsResponse
import com.pulumi.azurenative.synapse.kotlin.outputs.SparkConfigPropertiesResponse
import com.pulumi.core.Output
import com.pulumi.kotlin.KotlinCustomResource
import com.pulumi.kotlin.PulumiTagMarker
import com.pulumi.kotlin.ResourceMapper
import com.pulumi.kotlin.options.CustomResourceOptions
import com.pulumi.kotlin.options.CustomResourceOptionsBuilder
import com.pulumi.resources.Resource
import kotlin.Boolean
import kotlin.Int
import kotlin.String
import kotlin.Suppress
import kotlin.Unit
import kotlin.collections.List
import kotlin.collections.Map
import com.pulumi.azurenative.synapse.kotlin.outputs.AutoPausePropertiesResponse.Companion.toKotlin as autoPausePropertiesResponseToKotlin
import com.pulumi.azurenative.synapse.kotlin.outputs.AutoScalePropertiesResponse.Companion.toKotlin as autoScalePropertiesResponseToKotlin
import com.pulumi.azurenative.synapse.kotlin.outputs.DynamicExecutorAllocationResponse.Companion.toKotlin as dynamicExecutorAllocationResponseToKotlin
import com.pulumi.azurenative.synapse.kotlin.outputs.LibraryInfoResponse.Companion.toKotlin as libraryInfoResponseToKotlin
import com.pulumi.azurenative.synapse.kotlin.outputs.LibraryRequirementsResponse.Companion.toKotlin as libraryRequirementsResponseToKotlin
import com.pulumi.azurenative.synapse.kotlin.outputs.SparkConfigPropertiesResponse.Companion.toKotlin as sparkConfigPropertiesResponseToKotlin
/**
* Builder for [BigDataPool].
*/
@PulumiTagMarker
public class BigDataPoolResourceBuilder internal constructor() {
public var name: String? = null
public var args: BigDataPoolArgs = BigDataPoolArgs()
public var opts: CustomResourceOptions = CustomResourceOptions()
/**
* @param name The _unique_ name of the resulting resource.
*/
public fun name(`value`: String) {
this.name = value
}
/**
* @param block The arguments to use to populate this resource's properties.
*/
public suspend fun args(block: suspend BigDataPoolArgsBuilder.() -> Unit) {
val builder = BigDataPoolArgsBuilder()
block(builder)
this.args = builder.build()
}
/**
* @param block A bag of options that control this resource's behavior.
*/
public suspend fun opts(block: suspend CustomResourceOptionsBuilder.() -> Unit) {
this.opts = com.pulumi.kotlin.options.CustomResourceOptions.opts(block)
}
internal fun build(): BigDataPool {
val builtJavaResource = com.pulumi.azurenative.synapse.BigDataPool(
this.name,
this.args.toJava(),
this.opts.toJava(),
)
return BigDataPool(builtJavaResource)
}
}
/**
* A Big Data pool
* Azure REST API version: 2021-06-01. Prior API version in Azure Native 1.x: 2021-03-01.
* Other available API versions: 2021-05-01, 2021-06-01-preview.
* ## Example Usage
* ### Create or update a Big Data pool
* ```csharp
* using System.Collections.Generic;
* using System.Linq;
* using Pulumi;
* using AzureNative = Pulumi.AzureNative;
* return await Deployment.RunAsync(() =>
* {
* var bigDataPool = new AzureNative.Synapse.BigDataPool("bigDataPool", new()
* {
* AutoPause = new AzureNative.Synapse.Inputs.AutoPausePropertiesArgs
* {
* DelayInMinutes = 15,
* Enabled = true,
* },
* AutoScale = new AzureNative.Synapse.Inputs.AutoScalePropertiesArgs
* {
* Enabled = true,
* MaxNodeCount = 50,
* MinNodeCount = 3,
* },
* BigDataPoolName = "ExamplePool",
* DefaultSparkLogFolder = "/logs",
* IsAutotuneEnabled = false,
* LibraryRequirements = new AzureNative.Synapse.Inputs.LibraryRequirementsArgs
* {
* Content = "",
* Filename = "requirements.txt",
* },
* Location = "West US 2",
* NodeCount = 4,
* NodeSize = AzureNative.Synapse.NodeSize.Medium,
* NodeSizeFamily = AzureNative.Synapse.NodeSizeFamily.MemoryOptimized,
* ResourceGroupName = "ExampleResourceGroup",
* SparkEventsFolder = "/events",
* SparkVersion = "3.3",
* Tags =
* {
* { "key", "value" },
* },
* WorkspaceName = "ExampleWorkspace",
* });
* });
* ```
* ```go
* package main
* import (
* synapse "github.com/pulumi/pulumi-azure-native-sdk/synapse/v2"
* "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
* )
* func main() {
* pulumi.Run(func(ctx *pulumi.Context) error {
* _, err := synapse.NewBigDataPool(ctx, "bigDataPool", &synapse.BigDataPoolArgs{
* AutoPause: &synapse.AutoPausePropertiesArgs{
* DelayInMinutes: pulumi.Int(15),
* Enabled: pulumi.Bool(true),
* },
* AutoScale: &synapse.AutoScalePropertiesArgs{
* Enabled: pulumi.Bool(true),
* MaxNodeCount: pulumi.Int(50),
* MinNodeCount: pulumi.Int(3),
* },
* BigDataPoolName: pulumi.String("ExamplePool"),
* DefaultSparkLogFolder: pulumi.String("/logs"),
* IsAutotuneEnabled: pulumi.Bool(false),
* LibraryRequirements: &synapse.LibraryRequirementsArgs{
* Content: pulumi.String(""),
* Filename: pulumi.String("requirements.txt"),
* },
* Location: pulumi.String("West US 2"),
* NodeCount: pulumi.Int(4),
* NodeSize: pulumi.String(synapse.NodeSizeMedium),
* NodeSizeFamily: pulumi.String(synapse.NodeSizeFamilyMemoryOptimized),
* ResourceGroupName: pulumi.String("ExampleResourceGroup"),
* SparkEventsFolder: pulumi.String("/events"),
* SparkVersion: pulumi.String("3.3"),
* Tags: pulumi.StringMap{
* "key": pulumi.String("value"),
* },
* WorkspaceName: pulumi.String("ExampleWorkspace"),
* })
* if err != nil {
* return err
* }
* return nil
* })
* }
* ```
* ```java
* package generated_program;
* import com.pulumi.Context;
* import com.pulumi.Pulumi;
* import com.pulumi.core.Output;
* import com.pulumi.azurenative.synapse.BigDataPool;
* import com.pulumi.azurenative.synapse.BigDataPoolArgs;
* import com.pulumi.azurenative.synapse.inputs.AutoPausePropertiesArgs;
* import com.pulumi.azurenative.synapse.inputs.AutoScalePropertiesArgs;
* import com.pulumi.azurenative.synapse.inputs.LibraryRequirementsArgs;
* 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 bigDataPool = new BigDataPool("bigDataPool", BigDataPoolArgs.builder()
* .autoPause(AutoPausePropertiesArgs.builder()
* .delayInMinutes(15)
* .enabled(true)
* .build())
* .autoScale(AutoScalePropertiesArgs.builder()
* .enabled(true)
* .maxNodeCount(50)
* .minNodeCount(3)
* .build())
* .bigDataPoolName("ExamplePool")
* .defaultSparkLogFolder("/logs")
* .isAutotuneEnabled(false)
* .libraryRequirements(LibraryRequirementsArgs.builder()
* .content("")
* .filename("requirements.txt")
* .build())
* .location("West US 2")
* .nodeCount(4)
* .nodeSize("Medium")
* .nodeSizeFamily("MemoryOptimized")
* .resourceGroupName("ExampleResourceGroup")
* .sparkEventsFolder("/events")
* .sparkVersion("3.3")
* .tags(Map.of("key", "value"))
* .workspaceName("ExampleWorkspace")
* .build());
* }
* }
* ```
* ## Import
* An existing resource can be imported using its type token, name, and identifier, e.g.
* ```sh
* $ pulumi import azure-native:synapse:BigDataPool ExamplePool /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Synapse/workspaces/{workspaceName}/bigDataPools/{bigDataPoolName}
* ```
*/
public class BigDataPool internal constructor(
override val javaResource: com.pulumi.azurenative.synapse.BigDataPool,
) : KotlinCustomResource(javaResource, BigDataPoolMapper) {
/**
* Auto-pausing properties
*/
public val autoPause: Output?
get() = javaResource.autoPause().applyValue({ args0 ->
args0.map({ args0 ->
args0.let({ args0 ->
autoPausePropertiesResponseToKotlin(args0)
})
}).orElse(null)
})
/**
* Auto-scaling properties
*/
public val autoScale: Output?
get() = javaResource.autoScale().applyValue({ args0 ->
args0.map({ args0 ->
args0.let({ args0 ->
autoScalePropertiesResponseToKotlin(args0)
})
}).orElse(null)
})
/**
* The cache size
*/
public val cacheSize: Output?
get() = javaResource.cacheSize().applyValue({ args0 -> args0.map({ args0 -> args0 }).orElse(null) })
/**
* The time when the Big Data pool was created.
*/
public val creationDate: Output
get() = javaResource.creationDate().applyValue({ args0 -> args0 })
/**
* List of custom libraries/packages associated with the spark pool.
*/
public val customLibraries: Output>?
get() = javaResource.customLibraries().applyValue({ args0 ->
args0.map({ args0 ->
args0.map({ args0 ->
args0.let({ args0 ->
libraryInfoResponseToKotlin(args0)
})
})
}).orElse(null)
})
/**
* The default folder where Spark logs will be written.
*/
public val defaultSparkLogFolder: Output?
get() = javaResource.defaultSparkLogFolder().applyValue({ args0 ->
args0.map({ args0 ->
args0
}).orElse(null)
})
/**
* Dynamic Executor Allocation
*/
public val dynamicExecutorAllocation: Output?
get() = javaResource.dynamicExecutorAllocation().applyValue({ args0 ->
args0.map({ args0 ->
args0.let({ args0 -> dynamicExecutorAllocationResponseToKotlin(args0) })
}).orElse(null)
})
/**
* Whether autotune is required or not.
*/
public val isAutotuneEnabled: Output?
get() = javaResource.isAutotuneEnabled().applyValue({ args0 ->
args0.map({ args0 ->
args0
}).orElse(null)
})
/**
* Whether compute isolation is required or not.
*/
public val isComputeIsolationEnabled: Output?
get() = javaResource.isComputeIsolationEnabled().applyValue({ args0 ->
args0.map({ args0 ->
args0
}).orElse(null)
})
/**
* The time when the Big Data pool was updated successfully.
*/
public val lastSucceededTimestamp: Output
get() = javaResource.lastSucceededTimestamp().applyValue({ args0 -> args0 })
/**
* Library version requirements
*/
public val libraryRequirements: Output?
get() = javaResource.libraryRequirements().applyValue({ args0 ->
args0.map({ args0 ->
args0.let({ args0 -> libraryRequirementsResponseToKotlin(args0) })
}).orElse(null)
})
/**
* The geo-location where the resource lives
*/
public val location: Output
get() = javaResource.location().applyValue({ args0 -> args0 })
/**
* The name of the resource
*/
public val name: Output
get() = javaResource.name().applyValue({ args0 -> args0 })
/**
* The number of nodes in the Big Data pool.
*/
public val nodeCount: Output?
get() = javaResource.nodeCount().applyValue({ args0 -> args0.map({ args0 -> args0 }).orElse(null) })
/**
* The level of compute power that each node in the Big Data pool has.
*/
public val nodeSize: Output?
get() = javaResource.nodeSize().applyValue({ args0 -> args0.map({ args0 -> args0 }).orElse(null) })
/**
* The kind of nodes that the Big Data pool provides.
*/
public val nodeSizeFamily: Output?
get() = javaResource.nodeSizeFamily().applyValue({ args0 ->
args0.map({ args0 ->
args0
}).orElse(null)
})
/**
* The state of the Big Data pool.
*/
public val provisioningState: Output?
get() = javaResource.provisioningState().applyValue({ args0 ->
args0.map({ args0 ->
args0
}).orElse(null)
})
/**
* Whether session level packages enabled.
*/
public val sessionLevelPackagesEnabled: Output?
get() = javaResource.sessionLevelPackagesEnabled().applyValue({ args0 ->
args0.map({ args0 ->
args0
}).orElse(null)
})
/**
* Spark configuration file to specify additional properties
*/
public val sparkConfigProperties: Output?
get() = javaResource.sparkConfigProperties().applyValue({ args0 ->
args0.map({ args0 ->
args0.let({ args0 -> sparkConfigPropertiesResponseToKotlin(args0) })
}).orElse(null)
})
/**
* The Spark events folder
*/
public val sparkEventsFolder: Output?
get() = javaResource.sparkEventsFolder().applyValue({ args0 ->
args0.map({ args0 ->
args0
}).orElse(null)
})
/**
* The Apache Spark version.
*/
public val sparkVersion: Output?
get() = javaResource.sparkVersion().applyValue({ args0 ->
args0.map({ args0 ->
args0
}).orElse(null)
})
/**
* Resource tags.
*/
public val tags: Output>?
get() = javaResource.tags().applyValue({ args0 ->
args0.map({ args0 ->
args0.map({ args0 ->
args0.key.to(args0.value)
}).toMap()
}).orElse(null)
})
/**
* The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
*/
public val type: Output
get() = javaResource.type().applyValue({ args0 -> args0 })
}
public object BigDataPoolMapper : ResourceMapper {
override fun supportsMappingOfType(javaResource: Resource): Boolean =
com.pulumi.azurenative.synapse.BigDataPool::class == javaResource::class
override fun map(javaResource: Resource): BigDataPool = BigDataPool(
javaResource as
com.pulumi.azurenative.synapse.BigDataPool,
)
}
/**
* @see [BigDataPool].
* @param name The _unique_ name of the resulting resource.
* @param block Builder for [BigDataPool].
*/
public suspend fun bigDataPool(name: String, block: suspend BigDataPoolResourceBuilder.() -> Unit): BigDataPool {
val builder = BigDataPoolResourceBuilder()
builder.name(name)
block(builder)
return builder.build()
}
/**
* @see [BigDataPool].
* @param name The _unique_ name of the resulting resource.
*/
public fun bigDataPool(name: String): BigDataPool {
val builder = BigDataPoolResourceBuilder()
builder.name(name)
return builder.build()
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy