SparkJob

JSON representation

A Dataproc job for running Apache Spark applications on YARN.

JSON representation

JSON representation
{ "args" : [ string ] , "jarFileUris" : [ string ] , "fileUris" : [ string ] , "archiveUris" : [ string ] , "properties" : { string : string , ... } , "loggingConfig" : { object ( `LoggingConfig` ) } , // Union field `driver` can be only one of the following: "mainJarFileUri" : string , "mainClass" : string // End of list of possible types for union field `driver` . }

 { 
 "args" 
 : 
 [ 
 string 
 ] 
 , 
 "jarFileUris" 
 : 
 [ 
 string 
 ] 
 , 
 "fileUris" 
 : 
 [ 
 string 
 ] 
 , 
 "archiveUris" 
 : 
 [ 
 string 
 ] 
 , 
 "properties" 
 : 
 { 
 string 
 : 
 string 
 , 
 ... 
 } 
 , 
 "loggingConfig" 
 : 
 { 
 object (  LoggingConfig 
 
) 
 } 
 , 
 // Union field driver 
can be only one of the following: 
 "mainJarFileUri" 
 : 
 string 
 , 
 "mainClass" 
 : 
 string 
 // End of list of possible types for union field driver 
. 
 }

Fields

args[]

string

Optional. The arguments to pass to the driver. Do not include arguments, such as --conf , that can be set as job properties, since a collision may occur that causes an incorrect job submission.

jarFileUris[]

string

Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.

fileUris[]

string

Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.

archiveUris[]

string

Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.

properties

map (key: string, value: string)

Optional. A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" } .

loggingConfig

object ( LoggingConfig )

Optional. The runtime log config for job execution.

Union field driver . Required. The specification of the main method to call to drive the job. Specify either the jar file that contains the main class or the main class name. To pass both a main jar and a main class in that jar, add the jar to

 jarFileUris

, and then specify the main class name in

 mainClass

. driver can be only one of the following:

mainJarFileUri

string

The HCFS URI of the jar file that contains the main class.

mainClass

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 SparkJob.jar_file_uris.