# frozen_string_literal: true # Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # Auto-generated by gapic-generator-ruby. DO NOT EDIT! module Google module Cloud module Dataproc module V1 # The runtime logging config of the job. # @!attribute [rw] driver_log_levels # @return [::Google::Protobuf::Map{::String => ::Google::Cloud::Dataproc::V1::LoggingConfig::Level}] # The per-package log levels for the driver. This may include # "root" package name to configure rootLogger. # Examples: # 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG' class LoggingConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # @!attribute [rw] key # @return [::String] # @!attribute [rw] value # @return [::Google::Cloud::Dataproc::V1::LoggingConfig::Level] class DriverLogLevelsEntry include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # The Log4j level for job execution. When running an # [Apache Hive](https://hive.apache.org/) job, Cloud # Dataproc configures the Hive client to an equivalent verbosity level. module Level # Level is unspecified. Use default level for log4j. LEVEL_UNSPECIFIED = 0 # Use ALL level for log4j. ALL = 1 # Use TRACE level for log4j. TRACE = 2 # Use DEBUG level for log4j. DEBUG = 3 # Use INFO level for log4j. INFO = 4 # Use WARN level for log4j. WARN = 5 # Use ERROR level for log4j. ERROR = 6 # Use FATAL level for log4j. FATAL = 7 # Turn off log4j. OFF = 8 end end # A 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). # @!attribute [rw] main_jar_file_uri # @return [::String] # The HCFS URI of the jar file containing the main class. # Examples: # 'gs://foo-bucket/analytics-binaries/extract-useful-metrics-mr.jar' # 'hdfs:/tmp/test-samples/custom-wordcount.jar' # 'file:///home/usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar' # @!attribute [rw] main_class # @return [::String] # The name of the driver's main class. The jar file containing the class # must be in the default CLASSPATH or specified in `jar_file_uris`. # @!attribute [rw] args # @return [::Array<::String>] # Optional. The arguments to pass to the driver. Do not # include arguments, such as `-libjars` or `-Dfoo=bar`, that can be set as # job properties, since a collision may occur that causes an incorrect job # submission. # @!attribute [rw] jar_file_uris # @return [::Array<::String>] # Optional. Jar file URIs to add to the CLASSPATHs of the # Hadoop driver and tasks. # @!attribute [rw] file_uris # @return [::Array<::String>] # Optional. HCFS (Hadoop Compatible Filesystem) URIs of files to be copied # to the working directory of Hadoop drivers and distributed tasks. Useful # for naively parallel tasks. # @!attribute [rw] archive_uris # @return [::Array<::String>] # Optional. HCFS URIs of archives to be extracted in the working directory of # Hadoop drivers and tasks. Supported file types: # .jar, .tar, .tar.gz, .tgz, or .zip. # @!attribute [rw] properties # @return [::Google::Protobuf::Map{::String => ::String}] # Optional. A mapping of property names to values, used to configure Hadoop. # Properties that conflict with values set by the Dataproc API may be # overwritten. Can include properties set in /etc/hadoop/conf/*-site and # classes in user code. # @!attribute [rw] logging_config # @return [::Google::Cloud::Dataproc::V1::LoggingConfig] # Optional. The runtime log config for job execution. class HadoopJob include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # @!attribute [rw] key # @return [::String] # @!attribute [rw] value # @return [::String] class PropertiesEntry include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # A Dataproc job for running [Apache Spark](http://spark.apache.org/) # applications on YARN. # @!attribute [rw] main_jar_file_uri # @return [::String] # The HCFS URI of the jar file that contains the main class. # @!attribute [rw] main_class # @return [::String] # The name of the driver's main class. The jar file that contains the class # must be in the default CLASSPATH or specified in `jar_file_uris`. # @!attribute [rw] args # @return [::Array<::String>] # Optional. The arguments to pass to the driver. Do not include arguments, # such as `--conf`, that can be set as job properties, since a collision may # occur that causes an incorrect job submission. # @!attribute [rw] jar_file_uris # @return [::Array<::String>] # Optional. HCFS URIs of jar files to add to the CLASSPATHs of the # Spark driver and tasks. # @!attribute [rw] file_uris # @return [::Array<::String>] # Optional. HCFS URIs of files to be placed in the working directory of # each executor. Useful for naively parallel tasks. # @!attribute [rw] archive_uris # @return [::Array<::String>] # Optional. HCFS URIs of archives to be extracted into the working directory # of each executor. Supported file types: # .jar, .tar, .tar.gz, .tgz, and .zip. # @!attribute [rw] properties # @return [::Google::Protobuf::Map{::String => ::String}] # Optional. A mapping of property names to values, used to configure Spark. # Properties that conflict with values set by the Dataproc API may be # overwritten. Can include properties set in # /etc/spark/conf/spark-defaults.conf and classes in user code. # @!attribute [rw] logging_config # @return [::Google::Cloud::Dataproc::V1::LoggingConfig] # Optional. The runtime log config for job execution. class SparkJob include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # @!attribute [rw] key # @return [::String] # @!attribute [rw] value # @return [::String] class PropertiesEntry include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # A Dataproc job for running # [Apache # PySpark](https://spark.apache.org/docs/0.9.0/python-programming-guide.html) # applications on YARN. # @!attribute [rw] main_python_file_uri # @return [::String] # Required. The HCFS URI of the main Python file to use as the driver. Must # be a .py file. # @!attribute [rw] args # @return [::Array<::String>] # Optional. The arguments to pass to the driver. Do not include arguments, # such as `--conf`, that can be set as job properties, since a collision may # occur that causes an incorrect job submission. # @!attribute [rw] python_file_uris # @return [::Array<::String>] # Optional. HCFS file URIs of Python files to pass to the PySpark # framework. Supported file types: .py, .egg, and .zip. # @!attribute [rw] jar_file_uris # @return [::Array<::String>] # Optional. HCFS URIs of jar files to add to the CLASSPATHs of the # Python driver and tasks. # @!attribute [rw] file_uris # @return [::Array<::String>] # Optional. HCFS URIs of files to be placed in the working directory of # each executor. Useful for naively parallel tasks. # @!attribute [rw] archive_uris # @return [::Array<::String>] # Optional. HCFS URIs of archives to be extracted into the working directory # of each executor. Supported file types: # .jar, .tar, .tar.gz, .tgz, and .zip. # @!attribute [rw] properties # @return [::Google::Protobuf::Map{::String => ::String}] # Optional. A mapping of property names to values, used to configure PySpark. # Properties that conflict with values set by the Dataproc API may be # overwritten. Can include properties set in # /etc/spark/conf/spark-defaults.conf and classes in user code. # @!attribute [rw] logging_config # @return [::Google::Cloud::Dataproc::V1::LoggingConfig] # Optional. The runtime log config for job execution. class PySparkJob include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # @!attribute [rw] key # @return [::String] # @!attribute [rw] value # @return [::String] class PropertiesEntry include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # A list of queries to run on a cluster. # @!attribute [rw] queries # @return [::Array<::String>] # Required. The queries to execute. You do not need to end a query expression # with a semicolon. Multiple queries can be specified in one # string by separating each with a semicolon. Here is an example of a # Dataproc API snippet that uses a QueryList to specify a HiveJob: # # "hiveJob": { # "queryList": { # "queries": [ # "query1", # "query2", # "query3;query4", # ] # } # } class QueryList include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # A Dataproc job for running [Apache Hive](https://hive.apache.org/) # queries on YARN. # @!attribute [rw] query_file_uri # @return [::String] # The HCFS URI of the script that contains Hive queries. # @!attribute [rw] query_list # @return [::Google::Cloud::Dataproc::V1::QueryList] # A list of queries. # @!attribute [rw] continue_on_failure # @return [::Boolean] # Optional. Whether to continue executing queries if a query fails. # The default value is `false`. Setting to `true` can be useful when # executing independent parallel queries. # @!attribute [rw] script_variables # @return [::Google::Protobuf::Map{::String => ::String}] # Optional. Mapping of query variable names to values (equivalent to the # Hive command: `SET name="value";`). # @!attribute [rw] properties # @return [::Google::Protobuf::Map{::String => ::String}] # Optional. A mapping of property names and values, used to configure Hive. # Properties that conflict with values set by the Dataproc API may be # overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, # /etc/hive/conf/hive-site.xml, and classes in user code. # @!attribute [rw] jar_file_uris # @return [::Array<::String>] # Optional. HCFS URIs of jar files to add to the CLASSPATH of the # Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes # and UDFs. class HiveJob include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # @!attribute [rw] key # @return [::String] # @!attribute [rw] value # @return [::String] class ScriptVariablesEntry include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # @!attribute [rw] key # @return [::String] # @!attribute [rw] value # @return [::String] class PropertiesEntry include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # A Dataproc job for running [Apache Spark # SQL](http://spark.apache.org/sql/) queries. # @!attribute [rw] query_file_uri # @return [::String] # The HCFS URI of the script that contains SQL queries. # @!attribute [rw] query_list # @return [::Google::Cloud::Dataproc::V1::QueryList] # A list of queries. # @!attribute [rw] script_variables # @return [::Google::Protobuf::Map{::String => ::String}] # Optional. Mapping of query variable names to values (equivalent to the # Spark SQL command: SET `name="value";`). # @!attribute [rw] properties # @return [::Google::Protobuf::Map{::String => ::String}] # Optional. A mapping of property names to values, used to configure # Spark SQL's SparkConf. Properties that conflict with values set by the # Dataproc API may be overwritten. # @!attribute [rw] jar_file_uris # @return [::Array<::String>] # Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH. # @!attribute [rw] logging_config # @return [::Google::Cloud::Dataproc::V1::LoggingConfig] # Optional. The runtime log config for job execution. class SparkSqlJob include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # @!attribute [rw] key # @return [::String] # @!attribute [rw] value # @return [::String] class ScriptVariablesEntry include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # @!attribute [rw] key # @return [::String] # @!attribute [rw] value # @return [::String] class PropertiesEntry include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # A Dataproc job for running [Apache Pig](https://pig.apache.org/) # queries on YARN. # @!attribute [rw] query_file_uri # @return [::String] # The HCFS URI of the script that contains the Pig queries. # @!attribute [rw] query_list # @return [::Google::Cloud::Dataproc::V1::QueryList] # A list of queries. # @!attribute [rw] continue_on_failure # @return [::Boolean] # Optional. Whether to continue executing queries if a query fails. # The default value is `false`. Setting to `true` can be useful when # executing independent parallel queries. # @!attribute [rw] script_variables # @return [::Google::Protobuf::Map{::String => ::String}] # Optional. Mapping of query variable names to values (equivalent to the Pig # command: `name=[value]`). # @!attribute [rw] properties # @return [::Google::Protobuf::Map{::String => ::String}] # Optional. A mapping of property names to values, used to configure Pig. # Properties that conflict with values set by the Dataproc API may be # overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, # /etc/pig/conf/pig.properties, and classes in user code. # @!attribute [rw] jar_file_uris # @return [::Array<::String>] # Optional. HCFS URIs of jar files to add to the CLASSPATH of # the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs. # @!attribute [rw] logging_config # @return [::Google::Cloud::Dataproc::V1::LoggingConfig] # Optional. The runtime log config for job execution. class PigJob include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # @!attribute [rw] key # @return [::String] # @!attribute [rw] value # @return [::String] class ScriptVariablesEntry include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # @!attribute [rw] key # @return [::String] # @!attribute [rw] value # @return [::String] class PropertiesEntry include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # A Dataproc job for running # [Apache SparkR](https://spark.apache.org/docs/latest/sparkr.html) # applications on YARN. # @!attribute [rw] main_r_file_uri # @return [::String] # Required. The HCFS URI of the main R file to use as the driver. # Must be a .R file. # @!attribute [rw] args # @return [::Array<::String>] # Optional. The arguments to pass to the driver. Do not include arguments, # such as `--conf`, that can be set as job properties, since a collision may # occur that causes an incorrect job submission. # @!attribute [rw] file_uris # @return [::Array<::String>] # Optional. HCFS URIs of files to be placed in the working directory of # each executor. Useful for naively parallel tasks. # @!attribute [rw] archive_uris # @return [::Array<::String>] # Optional. HCFS URIs of archives to be extracted into the working directory # of each executor. Supported file types: # .jar, .tar, .tar.gz, .tgz, and .zip. # @!attribute [rw] properties # @return [::Google::Protobuf::Map{::String => ::String}] # Optional. A mapping of property names to values, used to configure SparkR. # Properties that conflict with values set by the Dataproc API may be # overwritten. Can include properties set in # /etc/spark/conf/spark-defaults.conf and classes in user code. # @!attribute [rw] logging_config # @return [::Google::Cloud::Dataproc::V1::LoggingConfig] # Optional. The runtime log config for job execution. class SparkRJob include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # @!attribute [rw] key # @return [::String] # @!attribute [rw] value # @return [::String] class PropertiesEntry include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # A Dataproc job for running [Presto](https://prestosql.io/) queries. # **IMPORTANT**: The [Dataproc Presto Optional # Component](https://cloud.google.com/dataproc/docs/concepts/components/presto) # must be enabled when the cluster is created to submit a Presto job to the # cluster. # @!attribute [rw] query_file_uri # @return [::String] # The HCFS URI of the script that contains SQL queries. # @!attribute [rw] query_list # @return [::Google::Cloud::Dataproc::V1::QueryList] # A list of queries. # @!attribute [rw] continue_on_failure # @return [::Boolean] # Optional. Whether to continue executing queries if a query fails. # The default value is `false`. Setting to `true` can be useful when # executing independent parallel queries. # @!attribute [rw] output_format # @return [::String] # Optional. The format in which query output will be displayed. See the # Presto documentation for supported output formats # @!attribute [rw] client_tags # @return [::Array<::String>] # Optional. Presto client tags to attach to this query # @!attribute [rw] properties # @return [::Google::Protobuf::Map{::String => ::String}] # Optional. A mapping of property names to values. Used to set Presto # [session properties](https://prestodb.io/docs/current/sql/set-session.html) # Equivalent to using the --session flag in the Presto CLI # @!attribute [rw] logging_config # @return [::Google::Cloud::Dataproc::V1::LoggingConfig] # Optional. The runtime log config for job execution. class PrestoJob include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # @!attribute [rw] key # @return [::String] # @!attribute [rw] value # @return [::String] class PropertiesEntry include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Dataproc job config. # @!attribute [rw] cluster_name # @return [::String] # Required. The name of the cluster where the job will be submitted. # @!attribute [r] cluster_uuid # @return [::String] # Output only. A cluster UUID generated by the Dataproc service when # the job is submitted. # @!attribute [rw] cluster_labels # @return [::Google::Protobuf::Map{::String => ::String}] # Optional. Cluster labels to identify a cluster where the job will be submitted. class JobPlacement include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # @!attribute [rw] key # @return [::String] # @!attribute [rw] value # @return [::String] class ClusterLabelsEntry include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Dataproc job status. # @!attribute [r] state # @return [::Google::Cloud::Dataproc::V1::JobStatus::State] # Output only. A state message specifying the overall job state. # @!attribute [r] details # @return [::String] # Optional. Output only. Job state details, such as an error # description if the state is ERROR. # @!attribute [r] state_start_time # @return [::Google::Protobuf::Timestamp] # Output only. The time when this state was entered. # @!attribute [r] substate # @return [::Google::Cloud::Dataproc::V1::JobStatus::Substate] # Output only. Additional state information, which includes # status reported by the agent. class JobStatus include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # The job state. module State # The job state is unknown. STATE_UNSPECIFIED = 0 # The job is pending; it has been submitted, but is not yet running. PENDING = 1 # Job has been received by the service and completed initial setup; # it will soon be submitted to the cluster. SETUP_DONE = 8 # The job is running on the cluster. RUNNING = 2 # A CancelJob request has been received, but is pending. CANCEL_PENDING = 3 # Transient in-flight resources have been canceled, and the request to # cancel the running job has been issued to the cluster. CANCEL_STARTED = 7 # The job cancellation was successful. CANCELLED = 4 # The job has completed successfully. DONE = 5 # The job has completed, but encountered an error. ERROR = 6 # Job attempt has failed. The detail field contains failure details for # this attempt. # # Applies to restartable jobs only. ATTEMPT_FAILURE = 9 end # The job substate. module Substate # The job substate is unknown. UNSPECIFIED = 0 # The Job is submitted to the agent. # # Applies to RUNNING state. SUBMITTED = 1 # The Job has been received and is awaiting execution (it may be waiting # for a condition to be met). See the "details" field for the reason for # the delay. # # Applies to RUNNING state. QUEUED = 2 # The agent-reported status is out of date, which may be caused by a # loss of communication between the agent and Dataproc. If the # agent does not send a timely update, the job will fail. # # Applies to RUNNING state. STALE_STATUS = 3 end end # Encapsulates the full scoping used to reference a job. # @!attribute [rw] project_id # @return [::String] # Optional. The ID of the Google Cloud Platform project that the job belongs to. If # specified, must match the request project ID. # @!attribute [rw] job_id # @return [::String] # Optional. The job ID, which must be unique within the project. # # The ID must contain only letters (a-z, A-Z), numbers (0-9), # underscores (_), or hyphens (-). The maximum length is 100 characters. # # If not specified by the caller, the job ID will be provided by the server. class JobReference include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # A YARN application created by a job. Application information is a subset of # org.apache.hadoop.yarn.proto.YarnProtos.ApplicationReportProto. # # **Beta Feature**: This report is available for testing purposes only. It may # be changed before final release. # @!attribute [rw] name # @return [::String] # Required. The application name. # @!attribute [rw] state # @return [::Google::Cloud::Dataproc::V1::YarnApplication::State] # Required. The application state. # @!attribute [rw] progress # @return [::Float] # Required. The numerical progress of the application, from 1 to 100. # @!attribute [rw] tracking_url # @return [::String] # Optional. The HTTP URL of the ApplicationMaster, HistoryServer, or # TimelineServer that provides application-specific information. The URL uses # the internal hostname, and requires a proxy server for resolution and, # possibly, access. class YarnApplication include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # The application state, corresponding to # YarnProtos.YarnApplicationStateProto. module State # Status is unspecified. STATE_UNSPECIFIED = 0 # Status is NEW. NEW = 1 # Status is NEW_SAVING. NEW_SAVING = 2 # Status is SUBMITTED. SUBMITTED = 3 # Status is ACCEPTED. ACCEPTED = 4 # Status is RUNNING. RUNNING = 5 # Status is FINISHED. FINISHED = 6 # Status is FAILED. FAILED = 7 # Status is KILLED. KILLED = 8 end end # A Dataproc job resource. # @!attribute [rw] reference # @return [::Google::Cloud::Dataproc::V1::JobReference] # Optional. The fully qualified reference to the job, which can be used to # obtain the equivalent REST path of the job resource. If this property # is not specified when a job is created, the server generates a # job_id. # @!attribute [rw] placement # @return [::Google::Cloud::Dataproc::V1::JobPlacement] # Required. Job information, including how, when, and where to # run the job. # @!attribute [rw] hadoop_job # @return [::Google::Cloud::Dataproc::V1::HadoopJob] # Optional. Job is a Hadoop job. # @!attribute [rw] spark_job # @return [::Google::Cloud::Dataproc::V1::SparkJob] # Optional. Job is a Spark job. # @!attribute [rw] pyspark_job # @return [::Google::Cloud::Dataproc::V1::PySparkJob] # Optional. Job is a PySpark job. # @!attribute [rw] hive_job # @return [::Google::Cloud::Dataproc::V1::HiveJob] # Optional. Job is a Hive job. # @!attribute [rw] pig_job # @return [::Google::Cloud::Dataproc::V1::PigJob] # Optional. Job is a Pig job. # @!attribute [rw] spark_r_job # @return [::Google::Cloud::Dataproc::V1::SparkRJob] # Optional. Job is a SparkR job. # @!attribute [rw] spark_sql_job # @return [::Google::Cloud::Dataproc::V1::SparkSqlJob] # Optional. Job is a SparkSql job. # @!attribute [rw] presto_job # @return [::Google::Cloud::Dataproc::V1::PrestoJob] # Optional. Job is a Presto job. # @!attribute [r] status # @return [::Google::Cloud::Dataproc::V1::JobStatus] # Output only. The job status. Additional application-specific # status information may be contained in the type_job # and yarn_applications fields. # @!attribute [r] status_history # @return [::Array<::Google::Cloud::Dataproc::V1::JobStatus>] # Output only. The previous job status. # @!attribute [r] yarn_applications # @return [::Array<::Google::Cloud::Dataproc::V1::YarnApplication>] # Output only. The collection of YARN applications spun up by this job. # # **Beta** Feature: This report is available for testing purposes only. It # may be changed before final release. # @!attribute [r] driver_output_resource_uri # @return [::String] # Output only. A URI pointing to the location of the stdout of the job's # driver program. # @!attribute [r] driver_control_files_uri # @return [::String] # Output only. If present, the location of miscellaneous control files # which may be used as part of job setup and handling. If not present, # control files may be placed in the same location as `driver_output_uri`. # @!attribute [rw] labels # @return [::Google::Protobuf::Map{::String => ::String}] # Optional. The labels to associate with this job. # 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 job. # @!attribute [rw] scheduling # @return [::Google::Cloud::Dataproc::V1::JobScheduling] # Optional. Job scheduling configuration. # @!attribute [r] job_uuid # @return [::String] # Output only. A UUID that uniquely identifies a job within the project # over time. This is in contrast to a user-settable reference.job_id that # may be reused over time. # @!attribute [r] done # @return [::Boolean] # Output only. Indicates whether the job is completed. If the value is `false`, # the job is still in progress. If `true`, the job is completed, and # `status.state` field will indicate if it was successful, failed, # or cancelled. class Job include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # @!attribute [rw] key # @return [::String] # @!attribute [rw] value # @return [::String] class LabelsEntry include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Job scheduling options. # @!attribute [rw] max_failures_per_hour # @return [::Integer] # Optional. Maximum number of times per hour a driver may be restarted as # a result of driver exiting with non-zero code before job is # reported failed. # # A job may be reported as thrashing if driver exits with non-zero code # 4 times within 10 minute window. # # Maximum value is 10. # @!attribute [rw] max_failures_total # @return [::Integer] # Optional. Maximum number of times in total a driver may be restarted as a result of # driver exiting with non-zero code before job is reported failed. # Maximum value is 240. class JobScheduling include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # A request to submit a job. # @!attribute [rw] project_id # @return [::String] # Required. The ID of the Google Cloud Platform project that the job # belongs to. # @!attribute [rw] region # @return [::String] # Required. The Dataproc region in which to handle the request. # @!attribute [rw] job # @return [::Google::Cloud::Dataproc::V1::Job] # Required. The job resource. # @!attribute [rw] request_id # @return [::String] # Optional. A unique id used to identify the request. If the server # receives two # [SubmitJobRequest](https://cloud.google.com/dataproc/docs/reference/rpc/google.cloud.dataproc.v1#google.cloud.dataproc.v1.SubmitJobRequest)s # with the same id, then the second request will be ignored and the # first {::Google::Cloud::Dataproc::V1::Job Job} created and stored in the backend # is returned. # # It is recommended to always set this value to a # [UUID](https://en.wikipedia.org/wiki/Universally_unique_identifier). # # The id must contain only letters (a-z, A-Z), numbers (0-9), # underscores (_), and hyphens (-). The maximum length is 40 characters. class SubmitJobRequest include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Job Operation metadata. # @!attribute [r] job_id # @return [::String] # Output only. The job id. # @!attribute [r] status # @return [::Google::Cloud::Dataproc::V1::JobStatus] # Output only. Most recent job status. # @!attribute [r] operation_type # @return [::String] # Output only. Operation type. # @!attribute [r] start_time # @return [::Google::Protobuf::Timestamp] # Output only. Job submission time. class JobMetadata include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # A request to get the resource representation for a job in a project. # @!attribute [rw] project_id # @return [::String] # Required. The ID of the Google Cloud Platform project that the job # belongs to. # @!attribute [rw] region # @return [::String] # Required. The Dataproc region in which to handle the request. # @!attribute [rw] job_id # @return [::String] # Required. The job ID. class GetJobRequest include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # A request to list jobs in a project. # @!attribute [rw] project_id # @return [::String] # Required. The ID of the Google Cloud Platform project that the job # belongs to. # @!attribute [rw] region # @return [::String] # Required. The Dataproc region in which to handle the request. # @!attribute [rw] page_size # @return [::Integer] # Optional. The number of results to return in each response. # @!attribute [rw] page_token # @return [::String] # Optional. The page token, returned by a previous call, to request the # next page of results. # @!attribute [rw] cluster_name # @return [::String] # Optional. If set, the returned jobs list includes only jobs that were # submitted to the named cluster. # @!attribute [rw] job_state_matcher # @return [::Google::Cloud::Dataproc::V1::ListJobsRequest::JobStateMatcher] # Optional. Specifies enumerated categories of jobs to list. # (default = match ALL jobs). # # If `filter` is provided, `jobStateMatcher` will be ignored. # @!attribute [rw] filter # @return [::String] # Optional. A filter constraining the jobs to list. Filters are # case-sensitive and have the following syntax: # # [field = value] AND [field [= value]] ... # # where **field** is `status.state` or `labels.[KEY]`, and `[KEY]` is a label # key. **value** can be `*` to match all values. # `status.state` can be either `ACTIVE` or `NON_ACTIVE`. # Only the logical `AND` operator is supported; space-separated items are # treated as having an implicit `AND` operator. # # Example filter: # # status.state = ACTIVE AND labels.env = staging AND labels.starred = * class ListJobsRequest include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # A matcher that specifies categories of job states. module JobStateMatcher # Match all jobs, regardless of state. ALL = 0 # Only match jobs in non-terminal states: PENDING, RUNNING, or # CANCEL_PENDING. ACTIVE = 1 # Only match jobs in terminal states: CANCELLED, DONE, or ERROR. NON_ACTIVE = 2 end end # A request to update a job. # @!attribute [rw] project_id # @return [::String] # Required. The ID of the Google Cloud Platform project that the job # belongs to. # @!attribute [rw] region # @return [::String] # Required. The Dataproc region in which to handle the request. # @!attribute [rw] job_id # @return [::String] # Required. The job ID. # @!attribute [rw] job # @return [::Google::Cloud::Dataproc::V1::Job] # Required. The changes to the job. # @!attribute [rw] update_mask # @return [::Google::Protobuf::FieldMask] # Required. Specifies the path, relative to Job, of # the field to update. For example, to update the labels of a Job the # update_mask parameter would be specified as # labels, and the `PATCH` request body would specify the new # value. Note: Currently, labels is the only # field that can be updated. class UpdateJobRequest include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # A list of jobs in a project. # @!attribute [r] jobs # @return [::Array<::Google::Cloud::Dataproc::V1::Job>] # Output only. Jobs list. # @!attribute [rw] next_page_token # @return [::String] # Optional. This token is included in the response if there are more results # to fetch. To fetch additional results, provide this value as the # `page_token` in a subsequent ListJobsRequest. class ListJobsResponse include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # A request to cancel a job. # @!attribute [rw] project_id # @return [::String] # Required. The ID of the Google Cloud Platform project that the job # belongs to. # @!attribute [rw] region # @return [::String] # Required. The Dataproc region in which to handle the request. # @!attribute [rw] job_id # @return [::String] # Required. The job ID. class CancelJobRequest include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # A request to delete a job. # @!attribute [rw] project_id # @return [::String] # Required. The ID of the Google Cloud Platform project that the job # belongs to. # @!attribute [rw] region # @return [::String] # Required. The Dataproc region in which to handle the request. # @!attribute [rw] job_id # @return [::String] # Required. The job ID. class DeleteJobRequest include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end end end end