--- title: Dataproc Session description: Datadog, the leading service for cloud-scale monitoring. breadcrumbs: Docs > DDSQL Reference > Data Directory > Dataproc Session --- # Dataproc Session Dataproc Session in Google Cloud is a temporary interactive environment for running Spark workloads without managing clusters directly. It allows you to submit jobs, explore data, and test code in a serverless way, with resources automatically provisioned and scaled as needed. Sessions simplify development and experimentation by reducing setup overhead. ``` gcp.dataproc_session ``` ## Fields | Title | ID | Type | Data Type | Description | | --------------------- | ---- | ------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------- | | _key | core | string | | ancestors | core | array | | create_time | core | timestamp | Output only. The time when the session was created. | | creator | core | string | Output only. The email address of the user who created the session. | | datadog_display_name | core | string | | environment_config | core | json | Optional. Environment configuration for the session execution. | | jupyter_session | core | json | Optional. Jupyter session config. | | labels | core | array | Optional. The labels to associate with the session. Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be associated with a session. | | name | core | string | Identifier. The resource name of the session. | | organization_id | core | string | | parent | core | string | | project_id | core | string | | project_number | core | string | | region_id | core | string | | resource_name | core | string | | runtime_config | core | json | Optional. Runtime configuration for the session execution. | | runtime_info | core | json | Output only. Runtime information about session execution. | | session_template | core | string | Optional. The session template used by the session.Only resource names, including project ID and location, are valid.Example: * https://www.googleapis.com/compute/v1/projects/[project_id]/locations/[dataproc_region]/sessionTemplates/[template_id] * projects/[project_id]/locations/[dataproc_region]/sessionTemplates/[template_id]The template must be in the same project and Dataproc region as the session. | | spark_connect_session | core | json | Optional. Spark connect session config. | | state | core | string | Output only. A state of the session. | | state_history | core | json | Output only. Historical state information for the session. | | state_message | core | string | Output only. Session state details, such as the failure description if the state is FAILED. | | state_time | core | timestamp | Output only. The time when the session entered the current state. | | tags | core | hstore_csv | | user | core | string | Optional. The email address of the user who owns the session. | | uuid | core | string | Output only. A session UUID (Unique Universal Identifier). The service generates this value when it creates the session. | | zone_id | core | string |