"Managed Service for Apache Spark" is the new name for the product formerly known as "Dataproc on Compute Engine" (cluster deployment) and "Google Cloud Serverless for Apache Spark" (serverless deployment).
Managed Service for Apache Spark staging buckets
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Cloud Storage staging buckets let you store workload dependencies, configuration files, and job driver console output for Managed Service for Apache Spark serverless. When you run batch workloads or interactive sessions with Spark runtimes prior to version 3.0, Managed Service for Apache Spark serverless creates a Cloud Storage staging bucket in your project or reuses an existing staging bucket from previous batch creation requests. This is the default bucket created by Managed Service for Apache Spark clusters. For more information, see Managed Service for Apache Spark on clusters staging and temp buckets.
Managed Service for Apache Spark sets regional staging buckets in Cloud Storage locations according to the Compute Engine zone where your workload is deployed, and then creates and manages these project-level, per-location buckets. Staging buckets are shared among workloads in the same region, and are created with a Cloud Storage soft delete retention duration set to 0 seconds.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-11-03 UTC."],[],[]]
