Dataproc has API quota limits that are enforced at the project level. The quotas reset every sixty seconds (one-minute).
The following table lists the specific and default per-project Dataproc API quota types, quota limits, and the methods to which they apply.
|Quota Type||Limit||Applicable API Methods|
|AutoscalingOperationRequestsPerMinutePerProject||400||CreateAutoscalingPolicy, GetAutoscalingPolicy, ListAutoscalingPolicies, UpdateAutoscalingPolicy, DeleteAutoscalingPolicy|
|ClusterOperationRequestsPerMinutePerProject||200||CreateCluster, DeleteCluster, UpdateCluster, DiagnoseCluster|
|JobOperationRequestsPerMinutePerProject||400||SubmitJob, UpdateJob, CancelJob, DeleteJob|
|WorkflowOperationRequestsPerMinutePerProject||400||CreateWorkflowTemplate, InstantiateWorkflowTemplate, InstantiateInlineWorkflowTemplate, UpdateWorkflowTemplate, DeleteWorkflowTemplate|
|DefaultRequestsPerMinutePerProject||7500||All other operations (primarily Get operations)|
Other Google Cloud quotas
Cloud Dataproc clusters utilize other Google Cloud products. These products have project-level quotas, which include quotas that apply to Dataproc use. Some services are required to use Dataproc, such as Compute Engine and Cloud Storage. Other services, such as BigQuery and Cloud Bigtable, can optionally be used with Dataproc.
The following services, which enforce quota limits, are automatically (required to be) used to create Cloud Dataproc clusters.
Cloud Dataproc clusters utilize Compute Engine virtual machines.
The Compute Engine quotas
are split into regional and global limits. These limits apply to clusters you
create. For example, to create a cluster with one
n1-standard-4 master node
n1-standard-4 worker nodes, you will use 12 virtual CPUs (
4 * 3).
This cluster usage will count against the regional quota limit of 24 virtual CPUs.
When you create a Cloud Dataproc cluster with default settings, the following Compute Engine resources are used.
|Virtual Machine (VM) Instances||3|
|Persistent disk||1500 GB|
The following services, which have quota limits, can optionally be used with Cloud Dataproc clusters.
When reading or writing data into BigQuery, the BigQuery quota applies.
When reading or writing data into Bigtable, the Bigtable quota applies.