Staging - Update Spark Compute
Update environment staging spark compute. If you want to delete a spark property, set its value as null.
Note
This API is a release version of a preview version due to be deprecated on March 1, 2026.
When calling this API - callers must set the query parameter preview to the value false
Permissions
Write permission for the environment item.
Required Delegated Scopes
Item.ReadWrite.All or Environment.ReadWrite.All
Microsoft Entra supported identities
This API supports the Microsoft identities listed in this section.
| Identity | Support |
|---|---|
| User | Yes |
| Service principal and Managed identities | Yes |
Interface
PATCH https://api.fabric.microsoft.com/v1/workspaces/{workspaceId}/environments/{environmentId}/staging/sparkcompute?preview={preview}
URI Parameters
| Name | In | Required | Type | Description |
|---|---|---|---|---|
|
environment
|
path | True |
string (uuid) |
The environment ID. |
|
workspace
|
path | True |
string (uuid) |
The workspace ID. |
|
preview
|
query | True |
boolean |
This parameter specifies which version of the API to use. Set to |
Request Body
| Name | Type | Description |
|---|---|---|
| driverCores |
integer (int32) |
Spark driver core. Must be one of the following values: 4, 8, 16, 32, 64. |
| driverMemory |
Spark driver memory. |
|
| dynamicExecutorAllocation |
Dynamic executor allocation. |
|
| executorCores |
integer (int32) |
Spark executor core. Must be one of the following values: 4, 8, 16, 32, 64. |
| executorMemory |
Spark executor memory. |
|
| instancePool |
Environment pool has to be a valid custom pool. The name for a default workspace pool is Starter Pool. |
|
| runtimeVersion |
string |
Runtime version, find the supported fabric runtimes. For example: 1.3 |
| sparkProperties |
Spark properties. |
Responses
| Name | Type | Description |
|---|---|---|
| 200 OK |
Request completed successfully. |
|
| Other Status Codes |
Common error codes:
|
Examples
| Update environment staging spark compute example |
| Update environment staging spark compute instance pool using pool ID example |
Update environment staging spark compute example
Sample request
PATCH https://api.fabric.microsoft.com/v1/workspaces/f089354e-8366-4e18-aea3-4cb4a3a50b48/environments/707cfd07-cbf1-41da-aad7-dd157ddb8c11/staging/sparkcompute?preview=false
{
"instancePool": {
"name": "MyWorkspacePool",
"type": "Workspace"
},
"driverCores": 4,
"driverMemory": "56g",
"executorCores": 4,
"executorMemory": "56g",
"dynamicExecutorAllocation": {
"enabled": false,
"minExecutors": 1,
"maxExecutors": 1
},
"sparkProperties": [
{
"key": "spark.acls.enable",
"value": "false"
},
{
"key": "spark.admin.acls",
"value": null
}
],
"runtimeVersion": "1.2"
}
Sample response
{
"instancePool": {
"name": "MyWorkspacePool",
"type": "Workspace",
"id": "78942136-106c-4f3e-80fc-7ff4eae11603"
},
"driverCores": 4,
"driverMemory": "56g",
"executorCores": 4,
"executorMemory": "56g",
"dynamicExecutorAllocation": {
"enabled": false,
"minExecutors": 1,
"maxExecutors": 1
},
"sparkProperties": [
{
"key": "spark.acls.enable",
"value": "false"
}
],
"runtimeVersion": "1.2"
}
Update environment staging spark compute instance pool using pool ID example
Sample request
PATCH https://api.fabric.microsoft.com/v1/workspaces/f089354e-8366-4e18-aea3-4cb4a3a50b48/environments/707cfd07-cbf1-41da-aad7-dd157ddb8c11/staging/sparkcompute?preview=false
{
"instancePool": {
"id": "78942136-106c-4f3e-80fc-7ff4eae11603"
}
}
Sample response
{
"instancePool": {
"name": "MyWorkspacePool",
"type": "Workspace",
"id": "78942136-106c-4f3e-80fc-7ff4eae11603"
},
"driverCores": 4,
"driverMemory": "56g",
"executorCores": 4,
"executorMemory": "56g",
"dynamicExecutorAllocation": {
"enabled": false,
"minExecutors": 1,
"maxExecutors": 1
},
"sparkProperties": [
{
"key": "spark.acls.enable",
"value": "false"
}
],
"runtimeVersion": "1.2"
}
Definitions
| Name | Description |
|---|---|
|
Custom |
Custom pool memory for Spark driver or Spark executor. Additional |
|
Custom |
Custom pool type. Additional |
|
Dynamic |
Dynamic executor allocation proerties. |
|
Environment |
|
|
Error |
The error related resource details object. |
|
Error |
The error response. |
|
Error |
The error response details. |
|
Instance |
An instance of a pool. |
|
Spark |
A Spark property key and its value. |
|
Update |
CustomPoolMemory
Custom pool memory for Spark driver or Spark executor. Additional CustomPoolMemory types may be added over time.
| Value | Description |
|---|---|
| 28g |
28GB memory. |
| 56g |
56G memory. |
| 112g |
112G memory. |
| 224g |
224G memory. |
| 400g |
400G memory. |
CustomPoolType
Custom pool type. Additional CustomPoolType types may be added over time.
| Value | Description |
|---|---|
| Workspace |
Workspace custom pool |
| Capacity |
Capacity custom pool |
DynamicExecutorAllocationProperties
Dynamic executor allocation proerties.
| Name | Type | Description |
|---|---|---|
| enabled |
boolean |
The status of the dynamic executor allocation. False - Disabled, true - Enabled. |
| maxExecutors |
integer (int32) minimum: 1 |
The maximum executor number for dynamic allocation and the minimum for this property is 1. The maximum value has to be lower than the instance pool |
| minExecutors |
integer (int32) minimum: 1 |
The minimum executor number for dynamic allocation and the minimum for this property is 1. The maximum value has to be lower than |
EnvironmentSparkCompute
| Name | Type | Description |
|---|---|---|
| driverCores |
integer (int32) |
Spark driver core. Must be one of the following values: 4, 8, 16, 32, 64. |
| driverMemory |
Spark driver memory. |
|
| dynamicExecutorAllocation |
Dynamic executor allocation. |
|
| executorCores |
integer (int32) |
Spark executor core. Must be one of the following values: 4, 8, 16, 32, 64. |
| executorMemory |
Spark executor memory. |
|
| instancePool |
Environment pool has to be a valid custom pool. "Starter Pool" means use starter pool. |
|
| runtimeVersion |
string |
Runtime version, find the supported fabric runtimes. For example: 1.3 |
| sparkProperties |
Spark properties. |
ErrorRelatedResource
The error related resource details object.
| Name | Type | Description |
|---|---|---|
| resourceId |
string |
The resource ID that's involved in the error. |
| resourceType |
string |
The type of the resource that's involved in the error. |
ErrorResponse
The error response.
| Name | Type | Description |
|---|---|---|
| errorCode |
string |
A specific identifier that provides information about an error condition, allowing for standardized communication between our service and its users. |
| message |
string |
A human readable representation of the error. |
| moreDetails |
List of additional error details. |
|
| relatedResource |
The error related resource details. |
|
| requestId |
string |
ID of the request associated with the error. |
ErrorResponseDetails
The error response details.
| Name | Type | Description |
|---|---|---|
| errorCode |
string |
A specific identifier that provides information about an error condition, allowing for standardized communication between our service and its users. |
| message |
string |
A human readable representation of the error. |
| relatedResource |
The error related resource details. |
InstancePool
An instance of a pool.
| Name | Type | Description |
|---|---|---|
| id |
string (uuid) |
Instance pool ID. |
| name |
string |
Instance pool name. |
| type |
Instance pool type. |
SparkProperty
A Spark property key and its value.
| Name | Type | Description |
|---|---|---|
| key |
string |
The Spark property key. |
| value |
string |
The Spark property value. |
UpdateEnvironmentSparkComputeRequest
| Name | Type | Description |
|---|---|---|
| driverCores |
integer (int32) |
Spark driver core. Must be one of the following values: 4, 8, 16, 32, 64. |
| driverMemory |
Spark driver memory. |
|
| dynamicExecutorAllocation |
Dynamic executor allocation. |
|
| executorCores |
integer (int32) |
Spark executor core. Must be one of the following values: 4, 8, 16, 32, 64. |
| executorMemory |
Spark executor memory. |
|
| instancePool |
Environment pool has to be a valid custom pool. The name for a default workspace pool is Starter Pool. |
|
| runtimeVersion |
string |
Runtime version, find the supported fabric runtimes. For example: 1.3 |
| sparkProperties |
Spark properties. |