The operation is done; either cancelled or completed.

The operation has been created.

The operation is running.

Unused.

The cluster is being created and set up.

The cluster is being deleted.

The cluster encountered an error.

The cluster is currently running and healthy.

The agent-reported status is out of date (may occur if Cloud Dataproc loses communication with Agent).

The cluster is known to be in an unhealthy state (for example, critical daemons are not running or HDFS capacity is exhausted).

The cluster state is unknown.

The cluster is being updated.

Job attempt has failed.

A CancelJob request has been received, but is pending.

Transient in-flight resources have been canceled, and the request to cancel the running job has been issued to the cluster.

The job cancellation was successful.

The job has completed successfully.

The job has completed, but encountered an error.

The job is pending; it has been submitted, but is not yet running.

The Job has been received and is awaiting execution (it may be waiting for a condition to be met).

The job is running on the cluster.

Job has been received by the service and completed initial setup; it will soon be submitted to the cluster.

The agent-reported status is out of date, which may be caused by a loss of communication between the agent and Cloud Dataproc.

The job state is unknown.

The Job is submitted to the agent.

Only match jobs in non-terminal states: PENDING, RUNNING, or CANCEL_PENDING.

Match all jobs, regardless of state.

Only match jobs in terminal states: CANCELLED, DONE, or ERROR.

Use ALL level for log4j.

Use DEBUG level for log4j.

Use ERROR level for log4j.

Use FATAL level for log4j.

Use INFO level for log4j.

Level is unspecified.

Turn off log4j.

Use TRACE level for log4j.

Use WARN level for log4j.

Status is ACCEPTED.

Status is FAILED.

Status is FINISHED.

Status is KILLED.

Status is NEW.

Status is NEW_SAVING.

Status is RUNNING.

Status is unspecified.

Status is SUBMITTED.

Specifies the type and number of accelerator cards attached to the instances of an instance group (see [GPUs on Compute Engine](/compute/docs/gpus/)).

A request to cancel a job.

Describes the identifying information, config, and status of a cluster of Google Compute Engine instances.

The cluster config.

Contains cluster daemon metrics, such as HDFS and YARN stats.

Metadata describing the operation.

The status of the operation.

The status of a cluster and its instances.

A request to create a cluster.

A request to delete a cluster.

A request to delete a job.

A request to collect cluster diagnostic information.

The location of diagnostic output.

Specifies the config of disk options for a group of VM instances.

Common config settings for resources of Google Compute Engine cluster instances, applicable to all instances in the cluster.

Request to get the resource representation for a cluster in a project.

A request to get the resource representation for a job in a project.

A Cloud Dataproc job for running [Apache Hadoop MapReduce](https://hadoop.apache.org/docs/current/hadoop-mapreduce-client/hadoop-mapreduce-client-core/MapReduceTutorial.html) jobs on [Apache Hadoop YARN](https://hadoop.apache.org/docs/r2.7.1/hadoop-yarn/hadoop-yarn-site/YARN.html).

A Cloud Dataproc job for running [Apache Hive](https://hive.apache.org/) queries on YARN.

Optional.

A Cloud Dataproc job resource.

Cloud Dataproc job config.

Encapsulates the full scoping used to reference a job.

Job scheduling options.

Cloud Dataproc job status.

A request to list the clusters in a project.

The list of all clusters in a project.

A request to list jobs in a project.

A list of jobs in a project.

The runtime logging config of the job.

Specifies the resources used to actively manage an instance group.

Specifies an executable to run on a fully configured node and a timeout period for executable completion.

A Cloud Dataproc job for running [Apache Pig](https://pig.apache.org/) queries on YARN.

A Cloud Dataproc job for running [Apache PySpark](https://spark.apache.org/docs/0.9.0/python-programming-guide.html) applications on YARN.

A list of queries to run on a cluster.

Specifies the selection and config of software inside the cluster.

A Cloud Dataproc job for running [Apache Spark](http://spark.apache.org/) applications on YARN.

A Cloud Dataproc job for running [Apache Spark SQL](http://spark.apache.org/sql/) queries.

A request to submit a job.

A request to update a cluster.

A request to update a job.

A YARN application created by a job.

The operation state.

The cluster state.

The job state.

A matcher that specifies categories of job states.

The Log4j level for job execution.

The application state, corresponding to <code>YarnProtos.YarnApplicationStateProto</code>.