pulumi-azure-kotlin/com.pulumi.azure.synapse.kotlin/SparkPool

SparkPool

class SparkPool : KotlinCustomResource

Manages a Synapse Spark Pool.

Import

Synapse Spark Pool can be imported using the resource id, e.g.

$ pulumi import azure:synapse/sparkPool:SparkPool example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/group1/providers/Microsoft.Synapse/workspaces/workspace1/bigDataPools/sparkPool1

Properties

autoPause

val autoPause: Output<SparkPoolAutoPause>?

An auto_pause block as defined below.

autoScale

val autoScale: Output<SparkPoolAutoScale>?

An auto_scale block as defined below. Exactly one of node_count or auto_scale must be specified.

cacheSize

val cacheSize: Output<Int>?

The cache size in the Spark Pool.

computeIsolationEnabled

val computeIsolationEnabled: Output<Boolean>?

Indicates whether compute isolation is enabled or not. Defaults to false.

dynamicExecutorAllocationEnabled

val dynamicExecutorAllocationEnabled: Output<Boolean>?

Indicates whether Dynamic Executor Allocation is enabled or not. Defaults to false.

val id: Output<String>

libraryRequirement

val libraryRequirement: Output<SparkPoolLibraryRequirement>?

A library_requirement block as defined below.

maxExecutors

val maxExecutors: Output<Int>?

The maximum number of executors allocated only when dynamic_executor_allocation_enabled set to true.

minExecutors

val minExecutors: Output<Int>?

The minimum number of executors allocated only when dynamic_executor_allocation_enabled set to true.

name

val name: Output<String>

The name which should be used for this Synapse Spark Pool. Changing this forces a new Synapse Spark Pool to be created.

nodeCount

val nodeCount: Output<Int>?

The number of nodes in the Spark Pool. Exactly one of node_count or auto_scale must be specified.

nodeSize

val nodeSize: Output<String>

The level of node in the Spark Pool. Possible values are Small, Medium, Large, None, XLarge, XXLarge and XXXLarge.

nodeSizeFamily

val nodeSizeFamily: Output<String>

The kind of nodes that the Spark Pool provides. Possible values are HardwareAcceleratedFPGA, HardwareAcceleratedGPU, MemoryOptimized, and None.