1 <html><body> 2 <style> 3 4 body, h1, h2, h3, div, span, p, pre, a { 5 margin: 0; 6 padding: 0; 7 border: 0; 8 font-weight: inherit; 9 font-style: inherit; 10 font-size: 100%; 11 font-family: inherit; 12 vertical-align: baseline; 13 } 14 15 body { 16 font-size: 13px; 17 padding: 1em; 18 } 19 20 h1 { 21 font-size: 26px; 22 margin-bottom: 1em; 23 } 24 25 h2 { 26 font-size: 24px; 27 margin-bottom: 1em; 28 } 29 30 h3 { 31 font-size: 20px; 32 margin-bottom: 1em; 33 margin-top: 1em; 34 } 35 36 pre, code { 37 line-height: 1.5; 38 font-family: Monaco, 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', 'Lucida Console', monospace; 39 } 40 41 pre { 42 margin-top: 0.5em; 43 } 44 45 h1, h2, h3, p { 46 font-family: Arial, sans serif; 47 } 48 49 h1, h2, h3 { 50 border-bottom: solid #CCC 1px; 51 } 52 53 .toc_element { 54 margin-top: 0.5em; 55 } 56 57 .firstline { 58 margin-left: 2 em; 59 } 60 61 .method { 62 margin-top: 1em; 63 border: solid 1px #CCC; 64 padding: 1em; 65 background: #EEE; 66 } 67 68 .details { 69 font-weight: bold; 70 font-size: 14px; 71 } 72 73 </style> 74 75 <h1><a href="dataproc_v1alpha1.html">Google Cloud Dataproc API</a> . <a href="dataproc_v1alpha1.projects.html">projects</a> . <a href="dataproc_v1alpha1.projects.regions.html">regions</a> . <a href="dataproc_v1alpha1.projects.regions.jobs.html">jobs</a></h1> 76 <h2>Instance Methods</h2> 77 <p class="toc_element"> 78 <code><a href="#cancel">cancel(projectId, region, jobId, body, x__xgafv=None)</a></code></p> 79 <p class="firstline">Starts a job cancellation request. To access the job resource after cancellation, call regions/{region}/jobs:list or regions/{region}/jobs:get.</p> 80 <p class="toc_element"> 81 <code><a href="#delete">delete(projectId, region, jobId, x__xgafv=None)</a></code></p> 82 <p class="firstline">Deletes the job from the project. If the job is active, the delete fails, and the response returns FAILED_PRECONDITION.</p> 83 <p class="toc_element"> 84 <code><a href="#get">get(projectId, region, jobId, x__xgafv=None)</a></code></p> 85 <p class="firstline">Gets the resource representation for a job in a project.</p> 86 <p class="toc_element"> 87 <code><a href="#list">list(projectId, region, body, x__xgafv=None)</a></code></p> 88 <p class="firstline">Lists regions/{region}/jobs in a project.</p> 89 <p class="toc_element"> 90 <code><a href="#list_next">list_next(previous_request, previous_response)</a></code></p> 91 <p class="firstline">Retrieves the next page of results.</p> 92 <p class="toc_element"> 93 <code><a href="#patch">patch(projectId, region, jobId, body, updateMask=None, x__xgafv=None)</a></code></p> 94 <p class="firstline">Updates a job in a project.</p> 95 <p class="toc_element"> 96 <code><a href="#submit">submit(projectId, region, body, x__xgafv=None)</a></code></p> 97 <p class="firstline">Submits a job to a cluster.</p> 98 <h3>Method Details</h3> 99 <div class="method"> 100 <code class="details" id="cancel">cancel(projectId, region, jobId, body, x__xgafv=None)</code> 101 <pre>Starts a job cancellation request. To access the job resource after cancellation, call regions/{region}/jobs:list or regions/{region}/jobs:get. 102 103 Args: 104 projectId: string, Required The ID of the Google Cloud Platform project that the job belongs to. (required) 105 region: string, Required The Dataproc region in which to handle the request. (required) 106 jobId: string, Required The job ID. (required) 107 body: object, The request body. (required) 108 The object takes the form of: 109 110 { # A request to cancel a job. 111 } 112 113 x__xgafv: string, V1 error format. 114 Allowed values 115 1 - v1 error format 116 2 - v2 error format 117 118 Returns: 119 An object of the form: 120 121 { # A Cloud Dataproc job resource. 122 "status": { # Cloud Dataproc job status. # Output-only The job status. Additional application-specific status information may be contained in the <code>type_job</code> and <code>yarn_applications</code> fields. 123 "stateStartTime": "A String", # Output-only The time when this state was entered. 124 "substate": "A String", # Output-only Additional state information, which includes status reported by the agent. 125 "startTime": "A String", # The time when the server started the job. 126 "state": "A String", # Required A state message specifying the overall job state. 127 "details": "A String", # Optional Job state details, such as an error description if the state is <code>ERROR</code>. 128 "insertTime": "A String", # The time of the job request. 129 "endTime": "A String", # The time when the job completed. 130 }, 131 "hadoopJob": { # A Cloud Dataproc job for running Hadoop MapReduce jobs on YARN. # Job is a Hadoop job. 132 "jarFileUris": [ # Optional Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks. 133 "A String", 134 ], 135 "args": [ # 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. 136 "A String", 137 ], 138 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 139 "driverLogLevels": { # 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 140 "a_key": "A String", 141 }, 142 }, 143 "fileUris": [ # Optional HCFS URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks. 144 "A String", 145 ], 146 "mainClass": "A 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. 147 "archiveUris": [ # 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. 148 "A String", 149 ], 150 "mainJarFileUri": "A String", # The Hadoop Compatible Filesystem (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 151 "properties": { # Optional A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code. 152 "a_key": "A String", 153 }, 154 }, 155 "labels": { # Optional The labels to associate with this job.Label keys must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 64 labels can be associated with a given job. 156 "a_key": "A String", 157 }, 158 "placement": { # Cloud Dataproc job configuration. # Required Job information, including how, when, and where to run the job. 159 "clusterName": "A String", # Required The name of the cluster where the job will be submitted. 160 "clusterUuid": "A String", # Output-only A cluster UUID generated by the Dataproc service when the job is submitted. 161 }, 162 "reference": { # Encapsulates the full scoping used to reference a job. # 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 <code>job_id</code>. 163 "projectId": "A String", # Required The ID of the Google Cloud Platform project that the job belongs to. 164 "jobId": "A String", # Required The job ID, which must be unique within the project. The job ID is generated by the server upon job submission or provided by the user as a means to perform retries without creating duplicate jobs. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 100 characters. 165 }, 166 "sparkSqlJob": { # A Cloud Dataproc job for running Spark SQL queries. # Job is a SparkSql job. 167 "queryFileUri": "A String", # The HCFS URI of the script that contains SQL queries. 168 "scriptVariables": { # Optional Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";). 169 "a_key": "A String", 170 }, 171 "jarFileUris": [ # Optional HCFS URIs of jar files to be added to the Spark CLASSPATH. 172 "A String", 173 ], 174 "queryList": { # A list of queries to run on a cluster. # A list of queries. 175 "queries": [ # Required The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob: 176 # "hiveJob": { 177 # "queryList": { 178 # "queries": [ 179 # "query1", 180 # "query2", 181 # "query3;query4", 182 # ] 183 # } 184 # } 185 "A String", 186 ], 187 }, 188 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 189 "driverLogLevels": { # 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 190 "a_key": "A String", 191 }, 192 }, 193 "properties": { # Optional A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. 194 "a_key": "A String", 195 }, 196 }, 197 "yarnApplications": [ # Output-only The collection of Yarn applications spun up by this job. 198 { # A YARN application created by a job. Application information is a subset of <code>org.apache.hadoop.yarn.proto.YarnProtos.ApplicationReportProto</code>. 199 "progress": 3.14, # Required The numerical progress of the application, from 1 to 100. 200 "state": "A String", # Required The application state. 201 "name": "A String", # Required The application name. 202 "trackingUrl": "A 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. 203 }, 204 ], 205 "driverOutputUri": "A String", # Output-only A URI pointing to the location of the mixed stdout/stderr of the job's driver program—for example, <code>gs://sysbucket123/foo-cluster/jobid-123/driver/output</code>. 206 "pigJob": { # A Cloud Dataproc job for running Pig queries on YARN. # Job is a Pig job. 207 "queryFileUri": "A String", # The HCFS URI of the script that contains the Pig queries. 208 "scriptVariables": { # Optional Mapping of query variable names to values (equivalent to the Pig command: "name=value"). 209 "a_key": "A String", 210 }, 211 "continueOnFailure": True or False, # 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. 212 "jarFileUris": [ # Optional HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs. 213 "A String", 214 ], 215 "queryList": { # A list of queries to run on a cluster. # A list of queries. 216 "queries": [ # Required The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob: 217 # "hiveJob": { 218 # "queryList": { 219 # "queries": [ 220 # "query1", 221 # "query2", 222 # "query3;query4", 223 # ] 224 # } 225 # } 226 "A String", 227 ], 228 }, 229 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 230 "driverLogLevels": { # 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 231 "a_key": "A String", 232 }, 233 }, 234 "properties": { # Optional A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Cloud 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. 235 "a_key": "A String", 236 }, 237 }, 238 "driverOutputResourceUri": "A String", # Output-only A URI pointing to the location of the stdout of the job's driver program. 239 "pysparkJob": { # A Cloud Dataproc job for running PySpark applications on YARN. # Job is a Pyspark job. 240 "mainPythonFileUri": "A String", # Required The Hadoop Compatible Filesystem (HCFS) URI of the main Python file to use as the driver. Must be a .py file. 241 "jarFileUris": [ # Optional HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks. 242 "A String", 243 ], 244 "args": [ # 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. 245 "A String", 246 ], 247 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 248 "driverLogLevels": { # 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 249 "a_key": "A String", 250 }, 251 }, 252 "fileUris": [ # Optional HCFS URIs of files to be copied to the working directory of Python drivers and distributed tasks. Useful for naively parallel tasks. 253 "A String", 254 ], 255 "archiveUris": [ # Optional HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip. 256 "A String", 257 ], 258 "pythonFileUris": [ # Optional HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip. 259 "A String", 260 ], 261 "properties": { # Optional A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code. 262 "a_key": "A String", 263 }, 264 }, 265 "driverControlFilesUri": "A 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. 266 "driverInputResourceUri": "A String", # Output-only A URI pointing to the location of the stdin of the job's driver program, only set if the job is interactive. 267 "sparkJob": { # A Cloud Dataproc job for running Spark applications on YARN. # Job is a Spark job. 268 "args": [ # 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. 269 "A String", 270 ], 271 "jarFileUris": [ # Optional HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks. 272 "A String", 273 ], 274 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 275 "driverLogLevels": { # 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 276 "a_key": "A String", 277 }, 278 }, 279 "fileUris": [ # Optional HCFS URIs of files to be copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks. 280 "A String", 281 ], 282 "mainClass": "A 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. 283 "archiveUris": [ # Optional HCFS URIs of archives to be extracted in the working directory of Spark drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip. 284 "A String", 285 ], 286 "mainJarFileUri": "A String", # The Hadoop Compatible Filesystem (HCFS) URI of the jar file that contains the main class. 287 "properties": { # Optional A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code. 288 "a_key": "A String", 289 }, 290 }, 291 "submittedBy": "A String", # Output-only The email address of the user submitting the job. For jobs submitted on the cluster, the address is <code>username@hostname</code>. 292 "scheduling": { # Job scheduling options.Beta Feature: These options are available for testing purposes only. They may be changed before final release. # Optional Job scheduling configuration. 293 "maxFailuresPerHour": 42, # Optional Maximum number of times per hour a driver may be restarted as a result of driver terminating 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. 294 }, 295 "statusHistory": [ # Output-only The previous job status. 296 { # Cloud Dataproc job status. 297 "stateStartTime": "A String", # Output-only The time when this state was entered. 298 "substate": "A String", # Output-only Additional state information, which includes status reported by the agent. 299 "startTime": "A String", # The time when the server started the job. 300 "state": "A String", # Required A state message specifying the overall job state. 301 "details": "A String", # Optional Job state details, such as an error description if the state is <code>ERROR</code>. 302 "insertTime": "A String", # The time of the job request. 303 "endTime": "A String", # The time when the job completed. 304 }, 305 ], 306 "hiveJob": { # A Cloud Dataproc job for running Hive queries on YARN. # Job is a Hive job. 307 "queryFileUri": "A String", # The HCFS URI of the script that contains Hive queries. 308 "scriptVariables": { # Optional Mapping of query variable names to values (equivalent to the Hive command: 'SET name="value";'). 309 "a_key": "A String", 310 }, 311 "jarFileUris": [ # 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. 312 "A String", 313 ], 314 "queryList": { # A list of queries to run on a cluster. # A list of queries. 315 "queries": [ # Required The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob: 316 # "hiveJob": { 317 # "queryList": { 318 # "queries": [ 319 # "query1", 320 # "query2", 321 # "query3;query4", 322 # ] 323 # } 324 # } 325 "A String", 326 ], 327 }, 328 "continueOnFailure": True or False, # 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. 329 "properties": { # Optional A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Cloud 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. 330 "a_key": "A String", 331 }, 332 }, 333 "interactive": True or False, # Optional If set to true, then the driver's stdin will be kept open and driver_input_uri will be set to provide a path at which additional input can be sent to the driver. 334 }</pre> 335 </div> 336 337 <div class="method"> 338 <code class="details" id="delete">delete(projectId, region, jobId, x__xgafv=None)</code> 339 <pre>Deletes the job from the project. If the job is active, the delete fails, and the response returns FAILED_PRECONDITION. 340 341 Args: 342 projectId: string, Required The ID of the Google Cloud Platform project that the job belongs to. (required) 343 region: string, Required The Dataproc region in which to handle the request. (required) 344 jobId: string, Required The job ID. (required) 345 x__xgafv: string, V1 error format. 346 Allowed values 347 1 - v1 error format 348 2 - v2 error format 349 350 Returns: 351 An object of the form: 352 353 { # A Cloud Dataproc job resource. 354 "status": { # Cloud Dataproc job status. # Output-only The job status. Additional application-specific status information may be contained in the <code>type_job</code> and <code>yarn_applications</code> fields. 355 "stateStartTime": "A String", # Output-only The time when this state was entered. 356 "substate": "A String", # Output-only Additional state information, which includes status reported by the agent. 357 "startTime": "A String", # The time when the server started the job. 358 "state": "A String", # Required A state message specifying the overall job state. 359 "details": "A String", # Optional Job state details, such as an error description if the state is <code>ERROR</code>. 360 "insertTime": "A String", # The time of the job request. 361 "endTime": "A String", # The time when the job completed. 362 }, 363 "hadoopJob": { # A Cloud Dataproc job for running Hadoop MapReduce jobs on YARN. # Job is a Hadoop job. 364 "jarFileUris": [ # Optional Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks. 365 "A String", 366 ], 367 "args": [ # 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. 368 "A String", 369 ], 370 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 371 "driverLogLevels": { # 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 372 "a_key": "A String", 373 }, 374 }, 375 "fileUris": [ # Optional HCFS URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks. 376 "A String", 377 ], 378 "mainClass": "A 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. 379 "archiveUris": [ # 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. 380 "A String", 381 ], 382 "mainJarFileUri": "A String", # The Hadoop Compatible Filesystem (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 383 "properties": { # Optional A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code. 384 "a_key": "A String", 385 }, 386 }, 387 "labels": { # Optional The labels to associate with this job.Label keys must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 64 labels can be associated with a given job. 388 "a_key": "A String", 389 }, 390 "placement": { # Cloud Dataproc job configuration. # Required Job information, including how, when, and where to run the job. 391 "clusterName": "A String", # Required The name of the cluster where the job will be submitted. 392 "clusterUuid": "A String", # Output-only A cluster UUID generated by the Dataproc service when the job is submitted. 393 }, 394 "reference": { # Encapsulates the full scoping used to reference a job. # 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 <code>job_id</code>. 395 "projectId": "A String", # Required The ID of the Google Cloud Platform project that the job belongs to. 396 "jobId": "A String", # Required The job ID, which must be unique within the project. The job ID is generated by the server upon job submission or provided by the user as a means to perform retries without creating duplicate jobs. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 100 characters. 397 }, 398 "sparkSqlJob": { # A Cloud Dataproc job for running Spark SQL queries. # Job is a SparkSql job. 399 "queryFileUri": "A String", # The HCFS URI of the script that contains SQL queries. 400 "scriptVariables": { # Optional Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";). 401 "a_key": "A String", 402 }, 403 "jarFileUris": [ # Optional HCFS URIs of jar files to be added to the Spark CLASSPATH. 404 "A String", 405 ], 406 "queryList": { # A list of queries to run on a cluster. # A list of queries. 407 "queries": [ # Required The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob: 408 # "hiveJob": { 409 # "queryList": { 410 # "queries": [ 411 # "query1", 412 # "query2", 413 # "query3;query4", 414 # ] 415 # } 416 # } 417 "A String", 418 ], 419 }, 420 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 421 "driverLogLevels": { # 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 422 "a_key": "A String", 423 }, 424 }, 425 "properties": { # Optional A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. 426 "a_key": "A String", 427 }, 428 }, 429 "yarnApplications": [ # Output-only The collection of Yarn applications spun up by this job. 430 { # A YARN application created by a job. Application information is a subset of <code>org.apache.hadoop.yarn.proto.YarnProtos.ApplicationReportProto</code>. 431 "progress": 3.14, # Required The numerical progress of the application, from 1 to 100. 432 "state": "A String", # Required The application state. 433 "name": "A String", # Required The application name. 434 "trackingUrl": "A 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. 435 }, 436 ], 437 "driverOutputUri": "A String", # Output-only A URI pointing to the location of the mixed stdout/stderr of the job's driver program—for example, <code>gs://sysbucket123/foo-cluster/jobid-123/driver/output</code>. 438 "pigJob": { # A Cloud Dataproc job for running Pig queries on YARN. # Job is a Pig job. 439 "queryFileUri": "A String", # The HCFS URI of the script that contains the Pig queries. 440 "scriptVariables": { # Optional Mapping of query variable names to values (equivalent to the Pig command: "name=value"). 441 "a_key": "A String", 442 }, 443 "continueOnFailure": True or False, # 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. 444 "jarFileUris": [ # Optional HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs. 445 "A String", 446 ], 447 "queryList": { # A list of queries to run on a cluster. # A list of queries. 448 "queries": [ # Required The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob: 449 # "hiveJob": { 450 # "queryList": { 451 # "queries": [ 452 # "query1", 453 # "query2", 454 # "query3;query4", 455 # ] 456 # } 457 # } 458 "A String", 459 ], 460 }, 461 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 462 "driverLogLevels": { # 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 463 "a_key": "A String", 464 }, 465 }, 466 "properties": { # Optional A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Cloud 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. 467 "a_key": "A String", 468 }, 469 }, 470 "driverOutputResourceUri": "A String", # Output-only A URI pointing to the location of the stdout of the job's driver program. 471 "pysparkJob": { # A Cloud Dataproc job for running PySpark applications on YARN. # Job is a Pyspark job. 472 "mainPythonFileUri": "A String", # Required The Hadoop Compatible Filesystem (HCFS) URI of the main Python file to use as the driver. Must be a .py file. 473 "jarFileUris": [ # Optional HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks. 474 "A String", 475 ], 476 "args": [ # 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. 477 "A String", 478 ], 479 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 480 "driverLogLevels": { # 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 481 "a_key": "A String", 482 }, 483 }, 484 "fileUris": [ # Optional HCFS URIs of files to be copied to the working directory of Python drivers and distributed tasks. Useful for naively parallel tasks. 485 "A String", 486 ], 487 "archiveUris": [ # Optional HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip. 488 "A String", 489 ], 490 "pythonFileUris": [ # Optional HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip. 491 "A String", 492 ], 493 "properties": { # Optional A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code. 494 "a_key": "A String", 495 }, 496 }, 497 "driverControlFilesUri": "A 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. 498 "driverInputResourceUri": "A String", # Output-only A URI pointing to the location of the stdin of the job's driver program, only set if the job is interactive. 499 "sparkJob": { # A Cloud Dataproc job for running Spark applications on YARN. # Job is a Spark job. 500 "args": [ # 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. 501 "A String", 502 ], 503 "jarFileUris": [ # Optional HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks. 504 "A String", 505 ], 506 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 507 "driverLogLevels": { # 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 508 "a_key": "A String", 509 }, 510 }, 511 "fileUris": [ # Optional HCFS URIs of files to be copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks. 512 "A String", 513 ], 514 "mainClass": "A 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. 515 "archiveUris": [ # Optional HCFS URIs of archives to be extracted in the working directory of Spark drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip. 516 "A String", 517 ], 518 "mainJarFileUri": "A String", # The Hadoop Compatible Filesystem (HCFS) URI of the jar file that contains the main class. 519 "properties": { # Optional A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code. 520 "a_key": "A String", 521 }, 522 }, 523 "submittedBy": "A String", # Output-only The email address of the user submitting the job. For jobs submitted on the cluster, the address is <code>username@hostname</code>. 524 "scheduling": { # Job scheduling options.Beta Feature: These options are available for testing purposes only. They may be changed before final release. # Optional Job scheduling configuration. 525 "maxFailuresPerHour": 42, # Optional Maximum number of times per hour a driver may be restarted as a result of driver terminating 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. 526 }, 527 "statusHistory": [ # Output-only The previous job status. 528 { # Cloud Dataproc job status. 529 "stateStartTime": "A String", # Output-only The time when this state was entered. 530 "substate": "A String", # Output-only Additional state information, which includes status reported by the agent. 531 "startTime": "A String", # The time when the server started the job. 532 "state": "A String", # Required A state message specifying the overall job state. 533 "details": "A String", # Optional Job state details, such as an error description if the state is <code>ERROR</code>. 534 "insertTime": "A String", # The time of the job request. 535 "endTime": "A String", # The time when the job completed. 536 }, 537 ], 538 "hiveJob": { # A Cloud Dataproc job for running Hive queries on YARN. # Job is a Hive job. 539 "queryFileUri": "A String", # The HCFS URI of the script that contains Hive queries. 540 "scriptVariables": { # Optional Mapping of query variable names to values (equivalent to the Hive command: 'SET name="value";'). 541 "a_key": "A String", 542 }, 543 "jarFileUris": [ # 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. 544 "A String", 545 ], 546 "queryList": { # A list of queries to run on a cluster. # A list of queries. 547 "queries": [ # Required The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob: 548 # "hiveJob": { 549 # "queryList": { 550 # "queries": [ 551 # "query1", 552 # "query2", 553 # "query3;query4", 554 # ] 555 # } 556 # } 557 "A String", 558 ], 559 }, 560 "continueOnFailure": True or False, # 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. 561 "properties": { # Optional A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Cloud 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. 562 "a_key": "A String", 563 }, 564 }, 565 "interactive": True or False, # Optional If set to true, then the driver's stdin will be kept open and driver_input_uri will be set to provide a path at which additional input can be sent to the driver. 566 }</pre> 567 </div> 568 569 <div class="method"> 570 <code class="details" id="get">get(projectId, region, jobId, x__xgafv=None)</code> 571 <pre>Gets the resource representation for a job in a project. 572 573 Args: 574 projectId: string, Required The ID of the Google Cloud Platform project that the job belongs to. (required) 575 region: string, Required The Dataproc region in which to handle the request. (required) 576 jobId: string, Required The job ID. (required) 577 x__xgafv: string, V1 error format. 578 Allowed values 579 1 - v1 error format 580 2 - v2 error format 581 582 Returns: 583 An object of the form: 584 585 { # A Cloud Dataproc job resource. 586 "status": { # Cloud Dataproc job status. # Output-only The job status. Additional application-specific status information may be contained in the <code>type_job</code> and <code>yarn_applications</code> fields. 587 "stateStartTime": "A String", # Output-only The time when this state was entered. 588 "substate": "A String", # Output-only Additional state information, which includes status reported by the agent. 589 "startTime": "A String", # The time when the server started the job. 590 "state": "A String", # Required A state message specifying the overall job state. 591 "details": "A String", # Optional Job state details, such as an error description if the state is <code>ERROR</code>. 592 "insertTime": "A String", # The time of the job request. 593 "endTime": "A String", # The time when the job completed. 594 }, 595 "hadoopJob": { # A Cloud Dataproc job for running Hadoop MapReduce jobs on YARN. # Job is a Hadoop job. 596 "jarFileUris": [ # Optional Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks. 597 "A String", 598 ], 599 "args": [ # 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. 600 "A String", 601 ], 602 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 603 "driverLogLevels": { # 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 604 "a_key": "A String", 605 }, 606 }, 607 "fileUris": [ # Optional HCFS URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks. 608 "A String", 609 ], 610 "mainClass": "A 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. 611 "archiveUris": [ # 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. 612 "A String", 613 ], 614 "mainJarFileUri": "A String", # The Hadoop Compatible Filesystem (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 615 "properties": { # Optional A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code. 616 "a_key": "A String", 617 }, 618 }, 619 "labels": { # Optional The labels to associate with this job.Label keys must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 64 labels can be associated with a given job. 620 "a_key": "A String", 621 }, 622 "placement": { # Cloud Dataproc job configuration. # Required Job information, including how, when, and where to run the job. 623 "clusterName": "A String", # Required The name of the cluster where the job will be submitted. 624 "clusterUuid": "A String", # Output-only A cluster UUID generated by the Dataproc service when the job is submitted. 625 }, 626 "reference": { # Encapsulates the full scoping used to reference a job. # 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 <code>job_id</code>. 627 "projectId": "A String", # Required The ID of the Google Cloud Platform project that the job belongs to. 628 "jobId": "A String", # Required The job ID, which must be unique within the project. The job ID is generated by the server upon job submission or provided by the user as a means to perform retries without creating duplicate jobs. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 100 characters. 629 }, 630 "sparkSqlJob": { # A Cloud Dataproc job for running Spark SQL queries. # Job is a SparkSql job. 631 "queryFileUri": "A String", # The HCFS URI of the script that contains SQL queries. 632 "scriptVariables": { # Optional Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";). 633 "a_key": "A String", 634 }, 635 "jarFileUris": [ # Optional HCFS URIs of jar files to be added to the Spark CLASSPATH. 636 "A String", 637 ], 638 "queryList": { # A list of queries to run on a cluster. # A list of queries. 639 "queries": [ # Required The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob: 640 # "hiveJob": { 641 # "queryList": { 642 # "queries": [ 643 # "query1", 644 # "query2", 645 # "query3;query4", 646 # ] 647 # } 648 # } 649 "A String", 650 ], 651 }, 652 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 653 "driverLogLevels": { # 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 654 "a_key": "A String", 655 }, 656 }, 657 "properties": { # Optional A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. 658 "a_key": "A String", 659 }, 660 }, 661 "yarnApplications": [ # Output-only The collection of Yarn applications spun up by this job. 662 { # A YARN application created by a job. Application information is a subset of <code>org.apache.hadoop.yarn.proto.YarnProtos.ApplicationReportProto</code>. 663 "progress": 3.14, # Required The numerical progress of the application, from 1 to 100. 664 "state": "A String", # Required The application state. 665 "name": "A String", # Required The application name. 666 "trackingUrl": "A 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. 667 }, 668 ], 669 "driverOutputUri": "A String", # Output-only A URI pointing to the location of the mixed stdout/stderr of the job's driver program—for example, <code>gs://sysbucket123/foo-cluster/jobid-123/driver/output</code>. 670 "pigJob": { # A Cloud Dataproc job for running Pig queries on YARN. # Job is a Pig job. 671 "queryFileUri": "A String", # The HCFS URI of the script that contains the Pig queries. 672 "scriptVariables": { # Optional Mapping of query variable names to values (equivalent to the Pig command: "name=value"). 673 "a_key": "A String", 674 }, 675 "continueOnFailure": True or False, # 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. 676 "jarFileUris": [ # Optional HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs. 677 "A String", 678 ], 679 "queryList": { # A list of queries to run on a cluster. # A list of queries. 680 "queries": [ # Required The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob: 681 # "hiveJob": { 682 # "queryList": { 683 # "queries": [ 684 # "query1", 685 # "query2", 686 # "query3;query4", 687 # ] 688 # } 689 # } 690 "A String", 691 ], 692 }, 693 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 694 "driverLogLevels": { # 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 695 "a_key": "A String", 696 }, 697 }, 698 "properties": { # Optional A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Cloud 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. 699 "a_key": "A String", 700 }, 701 }, 702 "driverOutputResourceUri": "A String", # Output-only A URI pointing to the location of the stdout of the job's driver program. 703 "pysparkJob": { # A Cloud Dataproc job for running PySpark applications on YARN. # Job is a Pyspark job. 704 "mainPythonFileUri": "A String", # Required The Hadoop Compatible Filesystem (HCFS) URI of the main Python file to use as the driver. Must be a .py file. 705 "jarFileUris": [ # Optional HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks. 706 "A String", 707 ], 708 "args": [ # 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. 709 "A String", 710 ], 711 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 712 "driverLogLevels": { # 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 713 "a_key": "A String", 714 }, 715 }, 716 "fileUris": [ # Optional HCFS URIs of files to be copied to the working directory of Python drivers and distributed tasks. Useful for naively parallel tasks. 717 "A String", 718 ], 719 "archiveUris": [ # Optional HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip. 720 "A String", 721 ], 722 "pythonFileUris": [ # Optional HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip. 723 "A String", 724 ], 725 "properties": { # Optional A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code. 726 "a_key": "A String", 727 }, 728 }, 729 "driverControlFilesUri": "A 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. 730 "driverInputResourceUri": "A String", # Output-only A URI pointing to the location of the stdin of the job's driver program, only set if the job is interactive. 731 "sparkJob": { # A Cloud Dataproc job for running Spark applications on YARN. # Job is a Spark job. 732 "args": [ # 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. 733 "A String", 734 ], 735 "jarFileUris": [ # Optional HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks. 736 "A String", 737 ], 738 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 739 "driverLogLevels": { # 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 740 "a_key": "A String", 741 }, 742 }, 743 "fileUris": [ # Optional HCFS URIs of files to be copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks. 744 "A String", 745 ], 746 "mainClass": "A 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. 747 "archiveUris": [ # Optional HCFS URIs of archives to be extracted in the working directory of Spark drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip. 748 "A String", 749 ], 750 "mainJarFileUri": "A String", # The Hadoop Compatible Filesystem (HCFS) URI of the jar file that contains the main class. 751 "properties": { # Optional A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code. 752 "a_key": "A String", 753 }, 754 }, 755 "submittedBy": "A String", # Output-only The email address of the user submitting the job. For jobs submitted on the cluster, the address is <code>username@hostname</code>. 756 "scheduling": { # Job scheduling options.Beta Feature: These options are available for testing purposes only. They may be changed before final release. # Optional Job scheduling configuration. 757 "maxFailuresPerHour": 42, # Optional Maximum number of times per hour a driver may be restarted as a result of driver terminating 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. 758 }, 759 "statusHistory": [ # Output-only The previous job status. 760 { # Cloud Dataproc job status. 761 "stateStartTime": "A String", # Output-only The time when this state was entered. 762 "substate": "A String", # Output-only Additional state information, which includes status reported by the agent. 763 "startTime": "A String", # The time when the server started the job. 764 "state": "A String", # Required A state message specifying the overall job state. 765 "details": "A String", # Optional Job state details, such as an error description if the state is <code>ERROR</code>. 766 "insertTime": "A String", # The time of the job request. 767 "endTime": "A String", # The time when the job completed. 768 }, 769 ], 770 "hiveJob": { # A Cloud Dataproc job for running Hive queries on YARN. # Job is a Hive job. 771 "queryFileUri": "A String", # The HCFS URI of the script that contains Hive queries. 772 "scriptVariables": { # Optional Mapping of query variable names to values (equivalent to the Hive command: 'SET name="value";'). 773 "a_key": "A String", 774 }, 775 "jarFileUris": [ # 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. 776 "A String", 777 ], 778 "queryList": { # A list of queries to run on a cluster. # A list of queries. 779 "queries": [ # Required The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob: 780 # "hiveJob": { 781 # "queryList": { 782 # "queries": [ 783 # "query1", 784 # "query2", 785 # "query3;query4", 786 # ] 787 # } 788 # } 789 "A String", 790 ], 791 }, 792 "continueOnFailure": True or False, # 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. 793 "properties": { # Optional A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Cloud 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. 794 "a_key": "A String", 795 }, 796 }, 797 "interactive": True or False, # Optional If set to true, then the driver's stdin will be kept open and driver_input_uri will be set to provide a path at which additional input can be sent to the driver. 798 }</pre> 799 </div> 800 801 <div class="method"> 802 <code class="details" id="list">list(projectId, region, body, x__xgafv=None)</code> 803 <pre>Lists regions/{region}/jobs in a project. 804 805 Args: 806 projectId: string, Required The ID of the Google Cloud Platform project that the job belongs to. (required) 807 region: string, Required The Dataproc region in which to handle the request. (required) 808 body: object, The request body. (required) 809 The object takes the form of: 810 811 { # A request to list jobs in a project. 812 "filter": "A String", # Optional A filter constraining which jobs to list. Valid filters contain job state and label terms such as: labels.key1 = val1 AND (labels.k2 = val2 OR labels.k3 = val3) 813 "pageToken": "A String", # Optional The page token, returned by a previous call, to request the next page of results. 814 "clusterName": "A String", # Optional If set, the returned jobs list includes only jobs that were submitted to the named cluster. 815 "jobStateMatcher": "A String", # Optional Specifies enumerated categories of jobs to list. 816 "pageSize": 42, # Optional The number of results to return in each response. 817 } 818 819 x__xgafv: string, V1 error format. 820 Allowed values 821 1 - v1 error format 822 2 - v2 error format 823 824 Returns: 825 An object of the form: 826 827 { # A response to a request to list jobs in a project. 828 "nextPageToken": "A 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 <code>ListJobsRequest</code>. 829 "jobs": [ # Output-only Jobs list. 830 { # A Cloud Dataproc job resource. 831 "status": { # Cloud Dataproc job status. # Output-only The job status. Additional application-specific status information may be contained in the <code>type_job</code> and <code>yarn_applications</code> fields. 832 "stateStartTime": "A String", # Output-only The time when this state was entered. 833 "substate": "A String", # Output-only Additional state information, which includes status reported by the agent. 834 "startTime": "A String", # The time when the server started the job. 835 "state": "A String", # Required A state message specifying the overall job state. 836 "details": "A String", # Optional Job state details, such as an error description if the state is <code>ERROR</code>. 837 "insertTime": "A String", # The time of the job request. 838 "endTime": "A String", # The time when the job completed. 839 }, 840 "hadoopJob": { # A Cloud Dataproc job for running Hadoop MapReduce jobs on YARN. # Job is a Hadoop job. 841 "jarFileUris": [ # Optional Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks. 842 "A String", 843 ], 844 "args": [ # 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. 845 "A String", 846 ], 847 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 848 "driverLogLevels": { # 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 849 "a_key": "A String", 850 }, 851 }, 852 "fileUris": [ # Optional HCFS URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks. 853 "A String", 854 ], 855 "mainClass": "A 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. 856 "archiveUris": [ # 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. 857 "A String", 858 ], 859 "mainJarFileUri": "A String", # The Hadoop Compatible Filesystem (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 860 "properties": { # Optional A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code. 861 "a_key": "A String", 862 }, 863 }, 864 "labels": { # Optional The labels to associate with this job.Label keys must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 64 labels can be associated with a given job. 865 "a_key": "A String", 866 }, 867 "placement": { # Cloud Dataproc job configuration. # Required Job information, including how, when, and where to run the job. 868 "clusterName": "A String", # Required The name of the cluster where the job will be submitted. 869 "clusterUuid": "A String", # Output-only A cluster UUID generated by the Dataproc service when the job is submitted. 870 }, 871 "reference": { # Encapsulates the full scoping used to reference a job. # 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 <code>job_id</code>. 872 "projectId": "A String", # Required The ID of the Google Cloud Platform project that the job belongs to. 873 "jobId": "A String", # Required The job ID, which must be unique within the project. The job ID is generated by the server upon job submission or provided by the user as a means to perform retries without creating duplicate jobs. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 100 characters. 874 }, 875 "sparkSqlJob": { # A Cloud Dataproc job for running Spark SQL queries. # Job is a SparkSql job. 876 "queryFileUri": "A String", # The HCFS URI of the script that contains SQL queries. 877 "scriptVariables": { # Optional Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";). 878 "a_key": "A String", 879 }, 880 "jarFileUris": [ # Optional HCFS URIs of jar files to be added to the Spark CLASSPATH. 881 "A String", 882 ], 883 "queryList": { # A list of queries to run on a cluster. # A list of queries. 884 "queries": [ # Required The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob: 885 # "hiveJob": { 886 # "queryList": { 887 # "queries": [ 888 # "query1", 889 # "query2", 890 # "query3;query4", 891 # ] 892 # } 893 # } 894 "A String", 895 ], 896 }, 897 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 898 "driverLogLevels": { # 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 899 "a_key": "A String", 900 }, 901 }, 902 "properties": { # Optional A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. 903 "a_key": "A String", 904 }, 905 }, 906 "yarnApplications": [ # Output-only The collection of Yarn applications spun up by this job. 907 { # A YARN application created by a job. Application information is a subset of <code>org.apache.hadoop.yarn.proto.YarnProtos.ApplicationReportProto</code>. 908 "progress": 3.14, # Required The numerical progress of the application, from 1 to 100. 909 "state": "A String", # Required The application state. 910 "name": "A String", # Required The application name. 911 "trackingUrl": "A 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. 912 }, 913 ], 914 "driverOutputUri": "A String", # Output-only A URI pointing to the location of the mixed stdout/stderr of the job's driver program—for example, <code>gs://sysbucket123/foo-cluster/jobid-123/driver/output</code>. 915 "pigJob": { # A Cloud Dataproc job for running Pig queries on YARN. # Job is a Pig job. 916 "queryFileUri": "A String", # The HCFS URI of the script that contains the Pig queries. 917 "scriptVariables": { # Optional Mapping of query variable names to values (equivalent to the Pig command: "name=value"). 918 "a_key": "A String", 919 }, 920 "continueOnFailure": True or False, # 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. 921 "jarFileUris": [ # Optional HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs. 922 "A String", 923 ], 924 "queryList": { # A list of queries to run on a cluster. # A list of queries. 925 "queries": [ # Required The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob: 926 # "hiveJob": { 927 # "queryList": { 928 # "queries": [ 929 # "query1", 930 # "query2", 931 # "query3;query4", 932 # ] 933 # } 934 # } 935 "A String", 936 ], 937 }, 938 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 939 "driverLogLevels": { # 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 940 "a_key": "A String", 941 }, 942 }, 943 "properties": { # Optional A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Cloud 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. 944 "a_key": "A String", 945 }, 946 }, 947 "driverOutputResourceUri": "A String", # Output-only A URI pointing to the location of the stdout of the job's driver program. 948 "pysparkJob": { # A Cloud Dataproc job for running PySpark applications on YARN. # Job is a Pyspark job. 949 "mainPythonFileUri": "A String", # Required The Hadoop Compatible Filesystem (HCFS) URI of the main Python file to use as the driver. Must be a .py file. 950 "jarFileUris": [ # Optional HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks. 951 "A String", 952 ], 953 "args": [ # 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. 954 "A String", 955 ], 956 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 957 "driverLogLevels": { # 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 958 "a_key": "A String", 959 }, 960 }, 961 "fileUris": [ # Optional HCFS URIs of files to be copied to the working directory of Python drivers and distributed tasks. Useful for naively parallel tasks. 962 "A String", 963 ], 964 "archiveUris": [ # Optional HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip. 965 "A String", 966 ], 967 "pythonFileUris": [ # Optional HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip. 968 "A String", 969 ], 970 "properties": { # Optional A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code. 971 "a_key": "A String", 972 }, 973 }, 974 "driverControlFilesUri": "A 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. 975 "driverInputResourceUri": "A String", # Output-only A URI pointing to the location of the stdin of the job's driver program, only set if the job is interactive. 976 "sparkJob": { # A Cloud Dataproc job for running Spark applications on YARN. # Job is a Spark job. 977 "args": [ # 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. 978 "A String", 979 ], 980 "jarFileUris": [ # Optional HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks. 981 "A String", 982 ], 983 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 984 "driverLogLevels": { # 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 985 "a_key": "A String", 986 }, 987 }, 988 "fileUris": [ # Optional HCFS URIs of files to be copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks. 989 "A String", 990 ], 991 "mainClass": "A 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. 992 "archiveUris": [ # Optional HCFS URIs of archives to be extracted in the working directory of Spark drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip. 993 "A String", 994 ], 995 "mainJarFileUri": "A String", # The Hadoop Compatible Filesystem (HCFS) URI of the jar file that contains the main class. 996 "properties": { # Optional A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code. 997 "a_key": "A String", 998 }, 999 }, 1000 "submittedBy": "A String", # Output-only The email address of the user submitting the job. For jobs submitted on the cluster, the address is <code>username@hostname</code>. 1001 "scheduling": { # Job scheduling options.Beta Feature: These options are available for testing purposes only. They may be changed before final release. # Optional Job scheduling configuration. 1002 "maxFailuresPerHour": 42, # Optional Maximum number of times per hour a driver may be restarted as a result of driver terminating 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. 1003 }, 1004 "statusHistory": [ # Output-only The previous job status. 1005 { # Cloud Dataproc job status. 1006 "stateStartTime": "A String", # Output-only The time when this state was entered. 1007 "substate": "A String", # Output-only Additional state information, which includes status reported by the agent. 1008 "startTime": "A String", # The time when the server started the job. 1009 "state": "A String", # Required A state message specifying the overall job state. 1010 "details": "A String", # Optional Job state details, such as an error description if the state is <code>ERROR</code>. 1011 "insertTime": "A String", # The time of the job request. 1012 "endTime": "A String", # The time when the job completed. 1013 }, 1014 ], 1015 "hiveJob": { # A Cloud Dataproc job for running Hive queries on YARN. # Job is a Hive job. 1016 "queryFileUri": "A String", # The HCFS URI of the script that contains Hive queries. 1017 "scriptVariables": { # Optional Mapping of query variable names to values (equivalent to the Hive command: 'SET name="value";'). 1018 "a_key": "A String", 1019 }, 1020 "jarFileUris": [ # 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. 1021 "A String", 1022 ], 1023 "queryList": { # A list of queries to run on a cluster. # A list of queries. 1024 "queries": [ # Required The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob: 1025 # "hiveJob": { 1026 # "queryList": { 1027 # "queries": [ 1028 # "query1", 1029 # "query2", 1030 # "query3;query4", 1031 # ] 1032 # } 1033 # } 1034 "A String", 1035 ], 1036 }, 1037 "continueOnFailure": True or False, # 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. 1038 "properties": { # Optional A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Cloud 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. 1039 "a_key": "A String", 1040 }, 1041 }, 1042 "interactive": True or False, # Optional If set to true, then the driver's stdin will be kept open and driver_input_uri will be set to provide a path at which additional input can be sent to the driver. 1043 }, 1044 ], 1045 }</pre> 1046 </div> 1047 1048 <div class="method"> 1049 <code class="details" id="list_next">list_next(previous_request, previous_response)</code> 1050 <pre>Retrieves the next page of results. 1051 1052 Args: 1053 previous_request: The request for the previous page. (required) 1054 previous_response: The response from the request for the previous page. (required) 1055 1056 Returns: 1057 A request object that you can call 'execute()' on to request the next 1058 page. Returns None if there are no more items in the collection. 1059 </pre> 1060 </div> 1061 1062 <div class="method"> 1063 <code class="details" id="patch">patch(projectId, region, jobId, body, updateMask=None, x__xgafv=None)</code> 1064 <pre>Updates a job in a project. 1065 1066 Args: 1067 projectId: string, Required The ID of the Google Cloud Platform project that the job belongs to. (required) 1068 region: string, Required The Dataproc region in which to handle the request. (required) 1069 jobId: string, Required The job ID. (required) 1070 body: object, The request body. (required) 1071 The object takes the form of: 1072 1073 { # A Cloud Dataproc job resource. 1074 "status": { # Cloud Dataproc job status. # Output-only The job status. Additional application-specific status information may be contained in the <code>type_job</code> and <code>yarn_applications</code> fields. 1075 "stateStartTime": "A String", # Output-only The time when this state was entered. 1076 "substate": "A String", # Output-only Additional state information, which includes status reported by the agent. 1077 "startTime": "A String", # The time when the server started the job. 1078 "state": "A String", # Required A state message specifying the overall job state. 1079 "details": "A String", # Optional Job state details, such as an error description if the state is <code>ERROR</code>. 1080 "insertTime": "A String", # The time of the job request. 1081 "endTime": "A String", # The time when the job completed. 1082 }, 1083 "hadoopJob": { # A Cloud Dataproc job for running Hadoop MapReduce jobs on YARN. # Job is a Hadoop job. 1084 "jarFileUris": [ # Optional Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks. 1085 "A String", 1086 ], 1087 "args": [ # 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. 1088 "A String", 1089 ], 1090 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 1091 "driverLogLevels": { # 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 1092 "a_key": "A String", 1093 }, 1094 }, 1095 "fileUris": [ # Optional HCFS URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks. 1096 "A String", 1097 ], 1098 "mainClass": "A 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. 1099 "archiveUris": [ # 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. 1100 "A String", 1101 ], 1102 "mainJarFileUri": "A String", # The Hadoop Compatible Filesystem (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 1103 "properties": { # Optional A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code. 1104 "a_key": "A String", 1105 }, 1106 }, 1107 "labels": { # Optional The labels to associate with this job.Label keys must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 64 labels can be associated with a given job. 1108 "a_key": "A String", 1109 }, 1110 "placement": { # Cloud Dataproc job configuration. # Required Job information, including how, when, and where to run the job. 1111 "clusterName": "A String", # Required The name of the cluster where the job will be submitted. 1112 "clusterUuid": "A String", # Output-only A cluster UUID generated by the Dataproc service when the job is submitted. 1113 }, 1114 "reference": { # Encapsulates the full scoping used to reference a job. # 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 <code>job_id</code>. 1115 "projectId": "A String", # Required The ID of the Google Cloud Platform project that the job belongs to. 1116 "jobId": "A String", # Required The job ID, which must be unique within the project. The job ID is generated by the server upon job submission or provided by the user as a means to perform retries without creating duplicate jobs. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 100 characters. 1117 }, 1118 "sparkSqlJob": { # A Cloud Dataproc job for running Spark SQL queries. # Job is a SparkSql job. 1119 "queryFileUri": "A String", # The HCFS URI of the script that contains SQL queries. 1120 "scriptVariables": { # Optional Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";). 1121 "a_key": "A String", 1122 }, 1123 "jarFileUris": [ # Optional HCFS URIs of jar files to be added to the Spark CLASSPATH. 1124 "A String", 1125 ], 1126 "queryList": { # A list of queries to run on a cluster. # A list of queries. 1127 "queries": [ # Required The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob: 1128 # "hiveJob": { 1129 # "queryList": { 1130 # "queries": [ 1131 # "query1", 1132 # "query2", 1133 # "query3;query4", 1134 # ] 1135 # } 1136 # } 1137 "A String", 1138 ], 1139 }, 1140 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 1141 "driverLogLevels": { # 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 1142 "a_key": "A String", 1143 }, 1144 }, 1145 "properties": { # Optional A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. 1146 "a_key": "A String", 1147 }, 1148 }, 1149 "yarnApplications": [ # Output-only The collection of Yarn applications spun up by this job. 1150 { # A YARN application created by a job. Application information is a subset of <code>org.apache.hadoop.yarn.proto.YarnProtos.ApplicationReportProto</code>. 1151 "progress": 3.14, # Required The numerical progress of the application, from 1 to 100. 1152 "state": "A String", # Required The application state. 1153 "name": "A String", # Required The application name. 1154 "trackingUrl": "A 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. 1155 }, 1156 ], 1157 "driverOutputUri": "A String", # Output-only A URI pointing to the location of the mixed stdout/stderr of the job's driver program—for example, <code>gs://sysbucket123/foo-cluster/jobid-123/driver/output</code>. 1158 "pigJob": { # A Cloud Dataproc job for running Pig queries on YARN. # Job is a Pig job. 1159 "queryFileUri": "A String", # The HCFS URI of the script that contains the Pig queries. 1160 "scriptVariables": { # Optional Mapping of query variable names to values (equivalent to the Pig command: "name=value"). 1161 "a_key": "A String", 1162 }, 1163 "continueOnFailure": True or False, # 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. 1164 "jarFileUris": [ # Optional HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs. 1165 "A String", 1166 ], 1167 "queryList": { # A list of queries to run on a cluster. # A list of queries. 1168 "queries": [ # Required The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob: 1169 # "hiveJob": { 1170 # "queryList": { 1171 # "queries": [ 1172 # "query1", 1173 # "query2", 1174 # "query3;query4", 1175 # ] 1176 # } 1177 # } 1178 "A String", 1179 ], 1180 }, 1181 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 1182 "driverLogLevels": { # 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 1183 "a_key": "A String", 1184 }, 1185 }, 1186 "properties": { # Optional A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Cloud 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. 1187 "a_key": "A String", 1188 }, 1189 }, 1190 "driverOutputResourceUri": "A String", # Output-only A URI pointing to the location of the stdout of the job's driver program. 1191 "pysparkJob": { # A Cloud Dataproc job for running PySpark applications on YARN. # Job is a Pyspark job. 1192 "mainPythonFileUri": "A String", # Required The Hadoop Compatible Filesystem (HCFS) URI of the main Python file to use as the driver. Must be a .py file. 1193 "jarFileUris": [ # Optional HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks. 1194 "A String", 1195 ], 1196 "args": [ # 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. 1197 "A String", 1198 ], 1199 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 1200 "driverLogLevels": { # 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 1201 "a_key": "A String", 1202 }, 1203 }, 1204 "fileUris": [ # Optional HCFS URIs of files to be copied to the working directory of Python drivers and distributed tasks. Useful for naively parallel tasks. 1205 "A String", 1206 ], 1207 "archiveUris": [ # Optional HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip. 1208 "A String", 1209 ], 1210 "pythonFileUris": [ # Optional HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip. 1211 "A String", 1212 ], 1213 "properties": { # Optional A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code. 1214 "a_key": "A String", 1215 }, 1216 }, 1217 "driverControlFilesUri": "A 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. 1218 "driverInputResourceUri": "A String", # Output-only A URI pointing to the location of the stdin of the job's driver program, only set if the job is interactive. 1219 "sparkJob": { # A Cloud Dataproc job for running Spark applications on YARN. # Job is a Spark job. 1220 "args": [ # 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. 1221 "A String", 1222 ], 1223 "jarFileUris": [ # Optional HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks. 1224 "A String", 1225 ], 1226 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 1227 "driverLogLevels": { # 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 1228 "a_key": "A String", 1229 }, 1230 }, 1231 "fileUris": [ # Optional HCFS URIs of files to be copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks. 1232 "A String", 1233 ], 1234 "mainClass": "A 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. 1235 "archiveUris": [ # Optional HCFS URIs of archives to be extracted in the working directory of Spark drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip. 1236 "A String", 1237 ], 1238 "mainJarFileUri": "A String", # The Hadoop Compatible Filesystem (HCFS) URI of the jar file that contains the main class. 1239 "properties": { # Optional A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code. 1240 "a_key": "A String", 1241 }, 1242 }, 1243 "submittedBy": "A String", # Output-only The email address of the user submitting the job. For jobs submitted on the cluster, the address is <code>username@hostname</code>. 1244 "scheduling": { # Job scheduling options.Beta Feature: These options are available for testing purposes only. They may be changed before final release. # Optional Job scheduling configuration. 1245 "maxFailuresPerHour": 42, # Optional Maximum number of times per hour a driver may be restarted as a result of driver terminating 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. 1246 }, 1247 "statusHistory": [ # Output-only The previous job status. 1248 { # Cloud Dataproc job status. 1249 "stateStartTime": "A String", # Output-only The time when this state was entered. 1250 "substate": "A String", # Output-only Additional state information, which includes status reported by the agent. 1251 "startTime": "A String", # The time when the server started the job. 1252 "state": "A String", # Required A state message specifying the overall job state. 1253 "details": "A String", # Optional Job state details, such as an error description if the state is <code>ERROR</code>. 1254 "insertTime": "A String", # The time of the job request. 1255 "endTime": "A String", # The time when the job completed. 1256 }, 1257 ], 1258 "hiveJob": { # A Cloud Dataproc job for running Hive queries on YARN. # Job is a Hive job. 1259 "queryFileUri": "A String", # The HCFS URI of the script that contains Hive queries. 1260 "scriptVariables": { # Optional Mapping of query variable names to values (equivalent to the Hive command: 'SET name="value";'). 1261 "a_key": "A String", 1262 }, 1263 "jarFileUris": [ # 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. 1264 "A String", 1265 ], 1266 "queryList": { # A list of queries to run on a cluster. # A list of queries. 1267 "queries": [ # Required The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob: 1268 # "hiveJob": { 1269 # "queryList": { 1270 # "queries": [ 1271 # "query1", 1272 # "query2", 1273 # "query3;query4", 1274 # ] 1275 # } 1276 # } 1277 "A String", 1278 ], 1279 }, 1280 "continueOnFailure": True or False, # 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. 1281 "properties": { # Optional A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Cloud 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. 1282 "a_key": "A String", 1283 }, 1284 }, 1285 "interactive": True or False, # Optional If set to true, then the driver's stdin will be kept open and driver_input_uri will be set to provide a path at which additional input can be sent to the driver. 1286 } 1287 1288 updateMask: string, Required Specifies the path, relative to <code>Job</code>, of the field to update. For example, to update the labels of a Job the <code>update_mask</code> parameter would be specified as <code>labels</code>, and the PATCH request body would specify the new value. <strong>Note:</strong> Currently, <code>labels</code> is the only field that can be updated. 1289 x__xgafv: string, V1 error format. 1290 Allowed values 1291 1 - v1 error format 1292 2 - v2 error format 1293 1294 Returns: 1295 An object of the form: 1296 1297 { # A Cloud Dataproc job resource. 1298 "status": { # Cloud Dataproc job status. # Output-only The job status. Additional application-specific status information may be contained in the <code>type_job</code> and <code>yarn_applications</code> fields. 1299 "stateStartTime": "A String", # Output-only The time when this state was entered. 1300 "substate": "A String", # Output-only Additional state information, which includes status reported by the agent. 1301 "startTime": "A String", # The time when the server started the job. 1302 "state": "A String", # Required A state message specifying the overall job state. 1303 "details": "A String", # Optional Job state details, such as an error description if the state is <code>ERROR</code>. 1304 "insertTime": "A String", # The time of the job request. 1305 "endTime": "A String", # The time when the job completed. 1306 }, 1307 "hadoopJob": { # A Cloud Dataproc job for running Hadoop MapReduce jobs on YARN. # Job is a Hadoop job. 1308 "jarFileUris": [ # Optional Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks. 1309 "A String", 1310 ], 1311 "args": [ # 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. 1312 "A String", 1313 ], 1314 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 1315 "driverLogLevels": { # 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 1316 "a_key": "A String", 1317 }, 1318 }, 1319 "fileUris": [ # Optional HCFS URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks. 1320 "A String", 1321 ], 1322 "mainClass": "A 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. 1323 "archiveUris": [ # 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. 1324 "A String", 1325 ], 1326 "mainJarFileUri": "A String", # The Hadoop Compatible Filesystem (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 1327 "properties": { # Optional A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code. 1328 "a_key": "A String", 1329 }, 1330 }, 1331 "labels": { # Optional The labels to associate with this job.Label keys must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 64 labels can be associated with a given job. 1332 "a_key": "A String", 1333 }, 1334 "placement": { # Cloud Dataproc job configuration. # Required Job information, including how, when, and where to run the job. 1335 "clusterName": "A String", # Required The name of the cluster where the job will be submitted. 1336 "clusterUuid": "A String", # Output-only A cluster UUID generated by the Dataproc service when the job is submitted. 1337 }, 1338 "reference": { # Encapsulates the full scoping used to reference a job. # 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 <code>job_id</code>. 1339 "projectId": "A String", # Required The ID of the Google Cloud Platform project that the job belongs to. 1340 "jobId": "A String", # Required The job ID, which must be unique within the project. The job ID is generated by the server upon job submission or provided by the user as a means to perform retries without creating duplicate jobs. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 100 characters. 1341 }, 1342 "sparkSqlJob": { # A Cloud Dataproc job for running Spark SQL queries. # Job is a SparkSql job. 1343 "queryFileUri": "A String", # The HCFS URI of the script that contains SQL queries. 1344 "scriptVariables": { # Optional Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";). 1345 "a_key": "A String", 1346 }, 1347 "jarFileUris": [ # Optional HCFS URIs of jar files to be added to the Spark CLASSPATH. 1348 "A String", 1349 ], 1350 "queryList": { # A list of queries to run on a cluster. # A list of queries. 1351 "queries": [ # Required The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob: 1352 # "hiveJob": { 1353 # "queryList": { 1354 # "queries": [ 1355 # "query1", 1356 # "query2", 1357 # "query3;query4", 1358 # ] 1359 # } 1360 # } 1361 "A String", 1362 ], 1363 }, 1364 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 1365 "driverLogLevels": { # 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 1366 "a_key": "A String", 1367 }, 1368 }, 1369 "properties": { # Optional A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. 1370 "a_key": "A String", 1371 }, 1372 }, 1373 "yarnApplications": [ # Output-only The collection of Yarn applications spun up by this job. 1374 { # A YARN application created by a job. Application information is a subset of <code>org.apache.hadoop.yarn.proto.YarnProtos.ApplicationReportProto</code>. 1375 "progress": 3.14, # Required The numerical progress of the application, from 1 to 100. 1376 "state": "A String", # Required The application state. 1377 "name": "A String", # Required The application name. 1378 "trackingUrl": "A 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. 1379 }, 1380 ], 1381 "driverOutputUri": "A String", # Output-only A URI pointing to the location of the mixed stdout/stderr of the job's driver program—for example, <code>gs://sysbucket123/foo-cluster/jobid-123/driver/output</code>. 1382 "pigJob": { # A Cloud Dataproc job for running Pig queries on YARN. # Job is a Pig job. 1383 "queryFileUri": "A String", # The HCFS URI of the script that contains the Pig queries. 1384 "scriptVariables": { # Optional Mapping of query variable names to values (equivalent to the Pig command: "name=value"). 1385 "a_key": "A String", 1386 }, 1387 "continueOnFailure": True or False, # 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. 1388 "jarFileUris": [ # Optional HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs. 1389 "A String", 1390 ], 1391 "queryList": { # A list of queries to run on a cluster. # A list of queries. 1392 "queries": [ # Required The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob: 1393 # "hiveJob": { 1394 # "queryList": { 1395 # "queries": [ 1396 # "query1", 1397 # "query2", 1398 # "query3;query4", 1399 # ] 1400 # } 1401 # } 1402 "A String", 1403 ], 1404 }, 1405 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 1406 "driverLogLevels": { # 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 1407 "a_key": "A String", 1408 }, 1409 }, 1410 "properties": { # Optional A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Cloud 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. 1411 "a_key": "A String", 1412 }, 1413 }, 1414 "driverOutputResourceUri": "A String", # Output-only A URI pointing to the location of the stdout of the job's driver program. 1415 "pysparkJob": { # A Cloud Dataproc job for running PySpark applications on YARN. # Job is a Pyspark job. 1416 "mainPythonFileUri": "A String", # Required The Hadoop Compatible Filesystem (HCFS) URI of the main Python file to use as the driver. Must be a .py file. 1417 "jarFileUris": [ # Optional HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks. 1418 "A String", 1419 ], 1420 "args": [ # 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. 1421 "A String", 1422 ], 1423 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 1424 "driverLogLevels": { # 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 1425 "a_key": "A String", 1426 }, 1427 }, 1428 "fileUris": [ # Optional HCFS URIs of files to be copied to the working directory of Python drivers and distributed tasks. Useful for naively parallel tasks. 1429 "A String", 1430 ], 1431 "archiveUris": [ # Optional HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip. 1432 "A String", 1433 ], 1434 "pythonFileUris": [ # Optional HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip. 1435 "A String", 1436 ], 1437 "properties": { # Optional A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code. 1438 "a_key": "A String", 1439 }, 1440 }, 1441 "driverControlFilesUri": "A 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. 1442 "driverInputResourceUri": "A String", # Output-only A URI pointing to the location of the stdin of the job's driver program, only set if the job is interactive. 1443 "sparkJob": { # A Cloud Dataproc job for running Spark applications on YARN. # Job is a Spark job. 1444 "args": [ # 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. 1445 "A String", 1446 ], 1447 "jarFileUris": [ # Optional HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks. 1448 "A String", 1449 ], 1450 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 1451 "driverLogLevels": { # 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 1452 "a_key": "A String", 1453 }, 1454 }, 1455 "fileUris": [ # Optional HCFS URIs of files to be copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks. 1456 "A String", 1457 ], 1458 "mainClass": "A 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. 1459 "archiveUris": [ # Optional HCFS URIs of archives to be extracted in the working directory of Spark drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip. 1460 "A String", 1461 ], 1462 "mainJarFileUri": "A String", # The Hadoop Compatible Filesystem (HCFS) URI of the jar file that contains the main class. 1463 "properties": { # Optional A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code. 1464 "a_key": "A String", 1465 }, 1466 }, 1467 "submittedBy": "A String", # Output-only The email address of the user submitting the job. For jobs submitted on the cluster, the address is <code>username@hostname</code>. 1468 "scheduling": { # Job scheduling options.Beta Feature: These options are available for testing purposes only. They may be changed before final release. # Optional Job scheduling configuration. 1469 "maxFailuresPerHour": 42, # Optional Maximum number of times per hour a driver may be restarted as a result of driver terminating 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. 1470 }, 1471 "statusHistory": [ # Output-only The previous job status. 1472 { # Cloud Dataproc job status. 1473 "stateStartTime": "A String", # Output-only The time when this state was entered. 1474 "substate": "A String", # Output-only Additional state information, which includes status reported by the agent. 1475 "startTime": "A String", # The time when the server started the job. 1476 "state": "A String", # Required A state message specifying the overall job state. 1477 "details": "A String", # Optional Job state details, such as an error description if the state is <code>ERROR</code>. 1478 "insertTime": "A String", # The time of the job request. 1479 "endTime": "A String", # The time when the job completed. 1480 }, 1481 ], 1482 "hiveJob": { # A Cloud Dataproc job for running Hive queries on YARN. # Job is a Hive job. 1483 "queryFileUri": "A String", # The HCFS URI of the script that contains Hive queries. 1484 "scriptVariables": { # Optional Mapping of query variable names to values (equivalent to the Hive command: 'SET name="value";'). 1485 "a_key": "A String", 1486 }, 1487 "jarFileUris": [ # 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. 1488 "A String", 1489 ], 1490 "queryList": { # A list of queries to run on a cluster. # A list of queries. 1491 "queries": [ # Required The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob: 1492 # "hiveJob": { 1493 # "queryList": { 1494 # "queries": [ 1495 # "query1", 1496 # "query2", 1497 # "query3;query4", 1498 # ] 1499 # } 1500 # } 1501 "A String", 1502 ], 1503 }, 1504 "continueOnFailure": True or False, # 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. 1505 "properties": { # Optional A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Cloud 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. 1506 "a_key": "A String", 1507 }, 1508 }, 1509 "interactive": True or False, # Optional If set to true, then the driver's stdin will be kept open and driver_input_uri will be set to provide a path at which additional input can be sent to the driver. 1510 }</pre> 1511 </div> 1512 1513 <div class="method"> 1514 <code class="details" id="submit">submit(projectId, region, body, x__xgafv=None)</code> 1515 <pre>Submits a job to a cluster. 1516 1517 Args: 1518 projectId: string, Required The ID of the Google Cloud Platform project that the job belongs to. (required) 1519 region: string, Required The Dataproc region in which to handle the request. (required) 1520 body: object, The request body. (required) 1521 The object takes the form of: 1522 1523 { # A job submission request. 1524 "job": { # A Cloud Dataproc job resource. # Required The job resource. 1525 "status": { # Cloud Dataproc job status. # Output-only The job status. Additional application-specific status information may be contained in the <code>type_job</code> and <code>yarn_applications</code> fields. 1526 "stateStartTime": "A String", # Output-only The time when this state was entered. 1527 "substate": "A String", # Output-only Additional state information, which includes status reported by the agent. 1528 "startTime": "A String", # The time when the server started the job. 1529 "state": "A String", # Required A state message specifying the overall job state. 1530 "details": "A String", # Optional Job state details, such as an error description if the state is <code>ERROR</code>. 1531 "insertTime": "A String", # The time of the job request. 1532 "endTime": "A String", # The time when the job completed. 1533 }, 1534 "hadoopJob": { # A Cloud Dataproc job for running Hadoop MapReduce jobs on YARN. # Job is a Hadoop job. 1535 "jarFileUris": [ # Optional Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks. 1536 "A String", 1537 ], 1538 "args": [ # 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. 1539 "A String", 1540 ], 1541 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 1542 "driverLogLevels": { # 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 1543 "a_key": "A String", 1544 }, 1545 }, 1546 "fileUris": [ # Optional HCFS URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks. 1547 "A String", 1548 ], 1549 "mainClass": "A 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. 1550 "archiveUris": [ # 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. 1551 "A String", 1552 ], 1553 "mainJarFileUri": "A String", # The Hadoop Compatible Filesystem (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 1554 "properties": { # Optional A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code. 1555 "a_key": "A String", 1556 }, 1557 }, 1558 "labels": { # Optional The labels to associate with this job.Label keys must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 64 labels can be associated with a given job. 1559 "a_key": "A String", 1560 }, 1561 "placement": { # Cloud Dataproc job configuration. # Required Job information, including how, when, and where to run the job. 1562 "clusterName": "A String", # Required The name of the cluster where the job will be submitted. 1563 "clusterUuid": "A String", # Output-only A cluster UUID generated by the Dataproc service when the job is submitted. 1564 }, 1565 "reference": { # Encapsulates the full scoping used to reference a job. # 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 <code>job_id</code>. 1566 "projectId": "A String", # Required The ID of the Google Cloud Platform project that the job belongs to. 1567 "jobId": "A String", # Required The job ID, which must be unique within the project. The job ID is generated by the server upon job submission or provided by the user as a means to perform retries without creating duplicate jobs. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 100 characters. 1568 }, 1569 "sparkSqlJob": { # A Cloud Dataproc job for running Spark SQL queries. # Job is a SparkSql job. 1570 "queryFileUri": "A String", # The HCFS URI of the script that contains SQL queries. 1571 "scriptVariables": { # Optional Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";). 1572 "a_key": "A String", 1573 }, 1574 "jarFileUris": [ # Optional HCFS URIs of jar files to be added to the Spark CLASSPATH. 1575 "A String", 1576 ], 1577 "queryList": { # A list of queries to run on a cluster. # A list of queries. 1578 "queries": [ # Required The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob: 1579 # "hiveJob": { 1580 # "queryList": { 1581 # "queries": [ 1582 # "query1", 1583 # "query2", 1584 # "query3;query4", 1585 # ] 1586 # } 1587 # } 1588 "A String", 1589 ], 1590 }, 1591 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 1592 "driverLogLevels": { # 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 1593 "a_key": "A String", 1594 }, 1595 }, 1596 "properties": { # Optional A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. 1597 "a_key": "A String", 1598 }, 1599 }, 1600 "yarnApplications": [ # Output-only The collection of Yarn applications spun up by this job. 1601 { # A YARN application created by a job. Application information is a subset of <code>org.apache.hadoop.yarn.proto.YarnProtos.ApplicationReportProto</code>. 1602 "progress": 3.14, # Required The numerical progress of the application, from 1 to 100. 1603 "state": "A String", # Required The application state. 1604 "name": "A String", # Required The application name. 1605 "trackingUrl": "A 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. 1606 }, 1607 ], 1608 "driverOutputUri": "A String", # Output-only A URI pointing to the location of the mixed stdout/stderr of the job's driver program—for example, <code>gs://sysbucket123/foo-cluster/jobid-123/driver/output</code>. 1609 "pigJob": { # A Cloud Dataproc job for running Pig queries on YARN. # Job is a Pig job. 1610 "queryFileUri": "A String", # The HCFS URI of the script that contains the Pig queries. 1611 "scriptVariables": { # Optional Mapping of query variable names to values (equivalent to the Pig command: "name=value"). 1612 "a_key": "A String", 1613 }, 1614 "continueOnFailure": True or False, # 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. 1615 "jarFileUris": [ # Optional HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs. 1616 "A String", 1617 ], 1618 "queryList": { # A list of queries to run on a cluster. # A list of queries. 1619 "queries": [ # Required The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob: 1620 # "hiveJob": { 1621 # "queryList": { 1622 # "queries": [ 1623 # "query1", 1624 # "query2", 1625 # "query3;query4", 1626 # ] 1627 # } 1628 # } 1629 "A String", 1630 ], 1631 }, 1632 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 1633 "driverLogLevels": { # 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 1634 "a_key": "A String", 1635 }, 1636 }, 1637 "properties": { # Optional A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Cloud 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. 1638 "a_key": "A String", 1639 }, 1640 }, 1641 "driverOutputResourceUri": "A String", # Output-only A URI pointing to the location of the stdout of the job's driver program. 1642 "pysparkJob": { # A Cloud Dataproc job for running PySpark applications on YARN. # Job is a Pyspark job. 1643 "mainPythonFileUri": "A String", # Required The Hadoop Compatible Filesystem (HCFS) URI of the main Python file to use as the driver. Must be a .py file. 1644 "jarFileUris": [ # Optional HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks. 1645 "A String", 1646 ], 1647 "args": [ # 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. 1648 "A String", 1649 ], 1650 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 1651 "driverLogLevels": { # 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 1652 "a_key": "A String", 1653 }, 1654 }, 1655 "fileUris": [ # Optional HCFS URIs of files to be copied to the working directory of Python drivers and distributed tasks. Useful for naively parallel tasks. 1656 "A String", 1657 ], 1658 "archiveUris": [ # Optional HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip. 1659 "A String", 1660 ], 1661 "pythonFileUris": [ # Optional HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip. 1662 "A String", 1663 ], 1664 "properties": { # Optional A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code. 1665 "a_key": "A String", 1666 }, 1667 }, 1668 "driverControlFilesUri": "A 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. 1669 "driverInputResourceUri": "A String", # Output-only A URI pointing to the location of the stdin of the job's driver program, only set if the job is interactive. 1670 "sparkJob": { # A Cloud Dataproc job for running Spark applications on YARN. # Job is a Spark job. 1671 "args": [ # 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. 1672 "A String", 1673 ], 1674 "jarFileUris": [ # Optional HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks. 1675 "A String", 1676 ], 1677 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 1678 "driverLogLevels": { # 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 1679 "a_key": "A String", 1680 }, 1681 }, 1682 "fileUris": [ # Optional HCFS URIs of files to be copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks. 1683 "A String", 1684 ], 1685 "mainClass": "A 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. 1686 "archiveUris": [ # Optional HCFS URIs of archives to be extracted in the working directory of Spark drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip. 1687 "A String", 1688 ], 1689 "mainJarFileUri": "A String", # The Hadoop Compatible Filesystem (HCFS) URI of the jar file that contains the main class. 1690 "properties": { # Optional A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code. 1691 "a_key": "A String", 1692 }, 1693 }, 1694 "submittedBy": "A String", # Output-only The email address of the user submitting the job. For jobs submitted on the cluster, the address is <code>username@hostname</code>. 1695 "scheduling": { # Job scheduling options.Beta Feature: These options are available for testing purposes only. They may be changed before final release. # Optional Job scheduling configuration. 1696 "maxFailuresPerHour": 42, # Optional Maximum number of times per hour a driver may be restarted as a result of driver terminating 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. 1697 }, 1698 "statusHistory": [ # Output-only The previous job status. 1699 { # Cloud Dataproc job status. 1700 "stateStartTime": "A String", # Output-only The time when this state was entered. 1701 "substate": "A String", # Output-only Additional state information, which includes status reported by the agent. 1702 "startTime": "A String", # The time when the server started the job. 1703 "state": "A String", # Required A state message specifying the overall job state. 1704 "details": "A String", # Optional Job state details, such as an error description if the state is <code>ERROR</code>. 1705 "insertTime": "A String", # The time of the job request. 1706 "endTime": "A String", # The time when the job completed. 1707 }, 1708 ], 1709 "hiveJob": { # A Cloud Dataproc job for running Hive queries on YARN. # Job is a Hive job. 1710 "queryFileUri": "A String", # The HCFS URI of the script that contains Hive queries. 1711 "scriptVariables": { # Optional Mapping of query variable names to values (equivalent to the Hive command: 'SET name="value";'). 1712 "a_key": "A String", 1713 }, 1714 "jarFileUris": [ # 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. 1715 "A String", 1716 ], 1717 "queryList": { # A list of queries to run on a cluster. # A list of queries. 1718 "queries": [ # Required The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob: 1719 # "hiveJob": { 1720 # "queryList": { 1721 # "queries": [ 1722 # "query1", 1723 # "query2", 1724 # "query3;query4", 1725 # ] 1726 # } 1727 # } 1728 "A String", 1729 ], 1730 }, 1731 "continueOnFailure": True or False, # 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. 1732 "properties": { # Optional A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Cloud 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. 1733 "a_key": "A String", 1734 }, 1735 }, 1736 "interactive": True or False, # Optional If set to true, then the driver's stdin will be kept open and driver_input_uri will be set to provide a path at which additional input can be sent to the driver. 1737 }, 1738 } 1739 1740 x__xgafv: string, V1 error format. 1741 Allowed values 1742 1 - v1 error format 1743 2 - v2 error format 1744 1745 Returns: 1746 An object of the form: 1747 1748 { # A Cloud Dataproc job resource. 1749 "status": { # Cloud Dataproc job status. # Output-only The job status. Additional application-specific status information may be contained in the <code>type_job</code> and <code>yarn_applications</code> fields. 1750 "stateStartTime": "A String", # Output-only The time when this state was entered. 1751 "substate": "A String", # Output-only Additional state information, which includes status reported by the agent. 1752 "startTime": "A String", # The time when the server started the job. 1753 "state": "A String", # Required A state message specifying the overall job state. 1754 "details": "A String", # Optional Job state details, such as an error description if the state is <code>ERROR</code>. 1755 "insertTime": "A String", # The time of the job request. 1756 "endTime": "A String", # The time when the job completed. 1757 }, 1758 "hadoopJob": { # A Cloud Dataproc job for running Hadoop MapReduce jobs on YARN. # Job is a Hadoop job. 1759 "jarFileUris": [ # Optional Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks. 1760 "A String", 1761 ], 1762 "args": [ # 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. 1763 "A String", 1764 ], 1765 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 1766 "driverLogLevels": { # 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 1767 "a_key": "A String", 1768 }, 1769 }, 1770 "fileUris": [ # Optional HCFS URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks. 1771 "A String", 1772 ], 1773 "mainClass": "A 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. 1774 "archiveUris": [ # 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. 1775 "A String", 1776 ], 1777 "mainJarFileUri": "A String", # The Hadoop Compatible Filesystem (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 1778 "properties": { # Optional A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code. 1779 "a_key": "A String", 1780 }, 1781 }, 1782 "labels": { # Optional The labels to associate with this job.Label keys must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}{0,62}Label values must be between 1 and 63 characters long, and must conform to the following regular expression: \p{Ll}\p{Lo}\p{N}_-{0,63}No more than 64 labels can be associated with a given job. 1783 "a_key": "A String", 1784 }, 1785 "placement": { # Cloud Dataproc job configuration. # Required Job information, including how, when, and where to run the job. 1786 "clusterName": "A String", # Required The name of the cluster where the job will be submitted. 1787 "clusterUuid": "A String", # Output-only A cluster UUID generated by the Dataproc service when the job is submitted. 1788 }, 1789 "reference": { # Encapsulates the full scoping used to reference a job. # 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 <code>job_id</code>. 1790 "projectId": "A String", # Required The ID of the Google Cloud Platform project that the job belongs to. 1791 "jobId": "A String", # Required The job ID, which must be unique within the project. The job ID is generated by the server upon job submission or provided by the user as a means to perform retries without creating duplicate jobs. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 100 characters. 1792 }, 1793 "sparkSqlJob": { # A Cloud Dataproc job for running Spark SQL queries. # Job is a SparkSql job. 1794 "queryFileUri": "A String", # The HCFS URI of the script that contains SQL queries. 1795 "scriptVariables": { # Optional Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";). 1796 "a_key": "A String", 1797 }, 1798 "jarFileUris": [ # Optional HCFS URIs of jar files to be added to the Spark CLASSPATH. 1799 "A String", 1800 ], 1801 "queryList": { # A list of queries to run on a cluster. # A list of queries. 1802 "queries": [ # Required The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob: 1803 # "hiveJob": { 1804 # "queryList": { 1805 # "queries": [ 1806 # "query1", 1807 # "query2", 1808 # "query3;query4", 1809 # ] 1810 # } 1811 # } 1812 "A String", 1813 ], 1814 }, 1815 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 1816 "driverLogLevels": { # 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 1817 "a_key": "A String", 1818 }, 1819 }, 1820 "properties": { # Optional A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. 1821 "a_key": "A String", 1822 }, 1823 }, 1824 "yarnApplications": [ # Output-only The collection of Yarn applications spun up by this job. 1825 { # A YARN application created by a job. Application information is a subset of <code>org.apache.hadoop.yarn.proto.YarnProtos.ApplicationReportProto</code>. 1826 "progress": 3.14, # Required The numerical progress of the application, from 1 to 100. 1827 "state": "A String", # Required The application state. 1828 "name": "A String", # Required The application name. 1829 "trackingUrl": "A 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. 1830 }, 1831 ], 1832 "driverOutputUri": "A String", # Output-only A URI pointing to the location of the mixed stdout/stderr of the job's driver program—for example, <code>gs://sysbucket123/foo-cluster/jobid-123/driver/output</code>. 1833 "pigJob": { # A Cloud Dataproc job for running Pig queries on YARN. # Job is a Pig job. 1834 "queryFileUri": "A String", # The HCFS URI of the script that contains the Pig queries. 1835 "scriptVariables": { # Optional Mapping of query variable names to values (equivalent to the Pig command: "name=value"). 1836 "a_key": "A String", 1837 }, 1838 "continueOnFailure": True or False, # 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. 1839 "jarFileUris": [ # Optional HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs. 1840 "A String", 1841 ], 1842 "queryList": { # A list of queries to run on a cluster. # A list of queries. 1843 "queries": [ # Required The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob: 1844 # "hiveJob": { 1845 # "queryList": { 1846 # "queries": [ 1847 # "query1", 1848 # "query2", 1849 # "query3;query4", 1850 # ] 1851 # } 1852 # } 1853 "A String", 1854 ], 1855 }, 1856 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 1857 "driverLogLevels": { # 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 1858 "a_key": "A String", 1859 }, 1860 }, 1861 "properties": { # Optional A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Cloud 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. 1862 "a_key": "A String", 1863 }, 1864 }, 1865 "driverOutputResourceUri": "A String", # Output-only A URI pointing to the location of the stdout of the job's driver program. 1866 "pysparkJob": { # A Cloud Dataproc job for running PySpark applications on YARN. # Job is a Pyspark job. 1867 "mainPythonFileUri": "A String", # Required The Hadoop Compatible Filesystem (HCFS) URI of the main Python file to use as the driver. Must be a .py file. 1868 "jarFileUris": [ # Optional HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks. 1869 "A String", 1870 ], 1871 "args": [ # 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. 1872 "A String", 1873 ], 1874 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 1875 "driverLogLevels": { # 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 1876 "a_key": "A String", 1877 }, 1878 }, 1879 "fileUris": [ # Optional HCFS URIs of files to be copied to the working directory of Python drivers and distributed tasks. Useful for naively parallel tasks. 1880 "A String", 1881 ], 1882 "archiveUris": [ # Optional HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip. 1883 "A String", 1884 ], 1885 "pythonFileUris": [ # Optional HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip. 1886 "A String", 1887 ], 1888 "properties": { # Optional A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code. 1889 "a_key": "A String", 1890 }, 1891 }, 1892 "driverControlFilesUri": "A 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. 1893 "driverInputResourceUri": "A String", # Output-only A URI pointing to the location of the stdin of the job's driver program, only set if the job is interactive. 1894 "sparkJob": { # A Cloud Dataproc job for running Spark applications on YARN. # Job is a Spark job. 1895 "args": [ # 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. 1896 "A String", 1897 ], 1898 "jarFileUris": [ # Optional HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks. 1899 "A String", 1900 ], 1901 "loggingConfiguration": { # The runtime logging configuration of the job. # Optional The runtime log configuration for job execution. 1902 "driverLogLevels": { # 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 1903 "a_key": "A String", 1904 }, 1905 }, 1906 "fileUris": [ # Optional HCFS URIs of files to be copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks. 1907 "A String", 1908 ], 1909 "mainClass": "A 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. 1910 "archiveUris": [ # Optional HCFS URIs of archives to be extracted in the working directory of Spark drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip. 1911 "A String", 1912 ], 1913 "mainJarFileUri": "A String", # The Hadoop Compatible Filesystem (HCFS) URI of the jar file that contains the main class. 1914 "properties": { # Optional A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code. 1915 "a_key": "A String", 1916 }, 1917 }, 1918 "submittedBy": "A String", # Output-only The email address of the user submitting the job. For jobs submitted on the cluster, the address is <code>username@hostname</code>. 1919 "scheduling": { # Job scheduling options.Beta Feature: These options are available for testing purposes only. They may be changed before final release. # Optional Job scheduling configuration. 1920 "maxFailuresPerHour": 42, # Optional Maximum number of times per hour a driver may be restarted as a result of driver terminating 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. 1921 }, 1922 "statusHistory": [ # Output-only The previous job status. 1923 { # Cloud Dataproc job status. 1924 "stateStartTime": "A String", # Output-only The time when this state was entered. 1925 "substate": "A String", # Output-only Additional state information, which includes status reported by the agent. 1926 "startTime": "A String", # The time when the server started the job. 1927 "state": "A String", # Required A state message specifying the overall job state. 1928 "details": "A String", # Optional Job state details, such as an error description if the state is <code>ERROR</code>. 1929 "insertTime": "A String", # The time of the job request. 1930 "endTime": "A String", # The time when the job completed. 1931 }, 1932 ], 1933 "hiveJob": { # A Cloud Dataproc job for running Hive queries on YARN. # Job is a Hive job. 1934 "queryFileUri": "A String", # The HCFS URI of the script that contains Hive queries. 1935 "scriptVariables": { # Optional Mapping of query variable names to values (equivalent to the Hive command: 'SET name="value";'). 1936 "a_key": "A String", 1937 }, 1938 "jarFileUris": [ # 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. 1939 "A String", 1940 ], 1941 "queryList": { # A list of queries to run on a cluster. # A list of queries. 1942 "queries": [ # Required The queries to execute. You do not need to terminate a query with a semicolon. Multiple queries can be specified in one string by separating each with a semicolon. Here is an example of an Cloud Dataproc API snippet that uses a QueryList to specify a HiveJob: 1943 # "hiveJob": { 1944 # "queryList": { 1945 # "queries": [ 1946 # "query1", 1947 # "query2", 1948 # "query3;query4", 1949 # ] 1950 # } 1951 # } 1952 "A String", 1953 ], 1954 }, 1955 "continueOnFailure": True or False, # 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. 1956 "properties": { # Optional A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Cloud 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. 1957 "a_key": "A String", 1958 }, 1959 }, 1960 "interactive": True or False, # Optional If set to true, then the driver's stdin will be kept open and driver_input_uri will be set to provide a path at which additional input can be sent to the driver. 1961 }</pre> 1962 </div> 1963 1964 </body></html>
