Batch

Optional. The ID to use for the batch, which will become the final component of the batch's resource name.This value must be 4-63 characters. Valid characters are /0-9-/.

The time when the batch was created.

The email address of the user who created the batch.

Optional. Environment configuration for the batch execution.

Optional. The labels to associate with this batch. 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 batch.

The resource name of the batch.

The resource name of the operation associated with this batch.

Optional. PySpark batch config.

Optional. A unique ID used to identify the request. If the service receives two CreateBatchRequest (https://cloud.google.com/dataproc/docs/reference/rpc/google.cloud.dataproc.v1#google.cloud.dataproc.v1.CreateBatchRequest)s with the same request_id, the second request is ignored and the Operation that corresponds to the first Batch created and stored in the backend is returned.Recommendation: Set this value to a UUID (https://en.wikipedia.org/wiki/Universally_unique_identifier).The value must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). The maximum length is 40 characters.

Optional. Runtime configuration for the batch execution.

Runtime information about batch execution.

Optional. Spark batch config.

Optional. SparkR batch config.

Optional. SparkSql batch config.

The state of the batch.

Historical state information for the batch.

Batch state details, such as a failure description if the state is FAILED.

The time when the batch entered a current state.

A batch UUID (Unique Universal Identifier). The service generates this value when it creates the batch.