chore: import upstream snapshot with attribution

docs/en/integrations/serverless-spark/source.md

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+---
+title: "Serverless for Apache Spark Source"
+linkTitle: "Source"
+type: docs
+weight: 1
+description: >
+  Google Cloud Serverless for Apache Spark lets you run Spark workloads without requiring you to provision and manage your own Spark cluster.
+no_list: true
+---
+
+## About
+
+The [Serverless for Apache
+Spark](https://cloud.google.com/dataproc-serverless/docs/overview) source allows
+Toolbox to interact with Spark batches hosted on Google Cloud Serverless for
+Apache Spark.
+
+
+
+## Available Tools
+
+{{< list-tools >}}
+
+## Requirements
+
+### IAM Permissions
+
+Serverless for Apache Spark uses [Identity and Access Management
+(IAM)](https://cloud.google.com/bigquery/docs/access-control) to control user
+and group access to serverless Spark resources like batches and sessions.
+
+Toolbox will use your [Application Default Credentials
+(ADC)](https://cloud.google.com/docs/authentication#adc) to authorize and
+authenticate when interacting with Google Cloud Serverless for Apache Spark.
+When using this method, you need to ensure the IAM identity associated with your
+ADC has the correct
+[permissions](https://cloud.google.com/dataproc-serverless/docs/concepts/iam)
+for the actions you intend to perform. Common roles include
+`roles/dataproc.serverlessEditor` (which includes permissions to run batches) or
+`roles/dataproc.serverlessViewer`. Follow this
+[guide](https://cloud.google.com/docs/authentication/provide-credentials-adc) to
+set up your ADC.
+
+## Example
+
+```yaml
+kind: source
+name: my-serverless-spark-source
+type: serverless-spark
+project: my-project-id
+location: us-central1
+```
+
+## Reference
+
+| **field** | **type** | **required** | **description**                                                   |
+| --------- | :------: | :----------: | ----------------------------------------------------------------- |
+| type      |  string  |     true     | Must be "serverless-spark".                                       |
+| project   |  string  |     true     | ID of the GCP project with Serverless for Apache Spark resources. |
+| location  |  string  |     true     | Location containing Serverless for Apache Spark resources.        |