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    REST Resource: projects.locations.batches

    Resource: Batch

    A representation of a batch workload in the service.

    JSON representation 
     { 
 "name" 
 : 
 string 
 , 
 "uuid" 
 : 
 string 
 , 
 "createTime" 
 : 
 string 
 , 
 "runtimeInfo" 
 : 
 { 
 object (  RuntimeInfo 
 
) 
 } 
 , 
 "state" 
 : 
 enum (  State 
 
) 
 , 
 "stateMessage" 
 : 
 string 
 , 
 "stateTime" 
 : 
 string 
 , 
 "creator" 
 : 
 string 
 , 
 "labels" 
 : 
 { 
 string 
 : 
 string 
 , 
 ... 
 } 
 , 
 "runtimeConfig" 
 : 
 { 
 object (  RuntimeConfig 
 
) 
 } 
 , 
 "environmentConfig" 
 : 
 { 
 object (  EnvironmentConfig 
 
) 
 } 
 , 
 "operation" 
 : 
 string 
 , 
 "stateHistory" 
 : 
 [ 
 { 
 object (  StateHistory 
 
) 
 } 
 ] 
 , 
 // Union field batch_config 
can be only one of the following: 
 "pysparkBatch" 
 : 
 { 
 object (  PySparkBatch 
 
) 
 } 
 , 
 "sparkBatch" 
 : 
 { 
 object (  SparkBatch 
 
) 
 } 
 , 
 "sparkRBatch" 
 : 
 { 
 object (  SparkRBatch 
 
) 
 } 
 , 
 "sparkSqlBatch" 
 : 
 { 
 object (  SparkSqlBatch 
 
) 
 } 
 // End of list of possible types for union field batch_config 
. 
 }
    Fields
    name

    string

    Output only. The resource name of the batch.

    uuid

    string

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

    createTime

    string ( Timestamp format)

    Output only. The time when the batch was created.

    Uses RFC 3339, where generated output will always be Z-normalized and uses 0, 3, 6 or 9 fractional digits. Offsets other than "Z" are also accepted. Examples: "2014-10-02T15:01:23Z" , "2014-10-02T15:01:23.045123456Z" or "2014-10-02T15:01:23+05:30" .

    runtimeInfo

    object ( RuntimeInfo )

    Output only. Runtime information about batch execution.

    state

    enum ( State )

    Output only. The state of the batch.

    stateMessage

    string

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

    stateTime

    string ( Timestamp format)

    Output only. The time when the batch entered a current state.

    Uses RFC 3339, where generated output will always be Z-normalized and uses 0, 3, 6 or 9 fractional digits. Offsets other than "Z" are also accepted. Examples: "2014-10-02T15:01:23Z" , "2014-10-02T15:01:23.045123456Z" or "2014-10-02T15:01:23+05:30" .

    creator

    string

    Output only. The email address of the user who created the batch.

    labels

    map (key: string, value: string)

    Optional. The labels to associate with this batch. Label keysmust contain 1 to 63 characters, and must conform to RFC 1035 . Label valuesmay be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035 . No more than 32 labels can be associated with a batch.

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

    runtimeConfig

    object ( RuntimeConfig )

    Optional. Runtime configuration for the batch execution.

    environmentConfig

    object ( EnvironmentConfig )

    Optional. Environment configuration for the batch execution.

    operation

    string

    Output only. The resource name of the operation associated with this batch.

    stateHistory[]

    object ( StateHistory )

    Output only. Historical state information for the batch.

    Union field batch_config . The application/framework-specific portion of the batch configuration. batch_config can be only one of the following:
    pysparkBatch

    object ( PySparkBatch )

    Optional. PySpark batch config.

    sparkBatch

    object ( SparkBatch )

    Optional. Spark batch config.

    sparkRBatch

    object ( SparkRBatch )

    Optional. SparkR batch config.

    sparkSqlBatch

    object ( SparkSqlBatch )

    Optional. SparkSql batch config.

    PySparkBatch

    A configuration for running an Apache PySpark batch workload.

    JSON representation 
     { 
 "mainPythonFileUri" 
 : 
 string 
 , 
 "args" 
 : 
 [ 
 string 
 ] 
 , 
 "pythonFileUris" 
 : 
 [ 
 string 
 ] 
 , 
 "jarFileUris" 
 : 
 [ 
 string 
 ] 
 , 
 "fileUris" 
 : 
 [ 
 string 
 ] 
 , 
 "archiveUris" 
 : 
 [ 
 string 
 ] 
 }
    Fields
    mainPythonFileUri

    string

    Required. The HCFS URI of the main Python file to use as the Spark driver. Must be a .py file.
    args[]

    string

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

    string

    Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py , .egg , and .zip .
    jarFileUris[]

    string

    Optional. HCFS URIs of jar files to add to the classpath of the Spark driver and tasks.
    fileUris[]

    string

    Optional. HCFS URIs of files to be placed in the working directory of each executor.
    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 .

    SparkBatch

    A configuration for running an Apache Spark batch workload.

    JSON representation 
     { 
 "args" 
 : 
 [ 
 string 
 ] 
 , 
 "jarFileUris" 
 : 
 [ 
 string 
 ] 
 , 
 "fileUris" 
 : 
 [ 
 string 
 ] 
 , 
 "archiveUris" 
 : 
 [ 
 string 
 ] 
 , 
 // 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 that can be set as batch properties, such as --conf , since a collision can occur that causes an incorrect batch submission.

    jarFileUris[]

    string

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

    fileUris[]

    string

    Optional. HCFS URIs of files to be placed in the working directory of each executor.

    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 .

    Union field driver . The specification of the main method to call to drive the Spark workload. 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 jar_file_uris , and then specify the main class name in main_class . driver can be only one of the following:
    mainJarFileUri

    string

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

    mainClass

    string

    Optional. The name of the driver main class. The jar file that contains the class must be in the classpath or specified in jarFileUris .

    SparkRBatch

    A configuration for running an Apache SparkR batch workload.

    JSON representation 
     { 
 "mainRFileUri" 
 : 
 string 
 , 
 "args" 
 : 
 [ 
 string 
 ] 
 , 
 "fileUris" 
 : 
 [ 
 string 
 ] 
 , 
 "archiveUris" 
 : 
 [ 
 string 
 ] 
 }
    Fields
    mainRFileUri

    string

    Required. The HCFS URI of the main R file to use as the driver. Must be a .R or .r file.
    args[]

    string

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

    string

    Optional. HCFS URIs of files to be placed in the working directory of each executor.
    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 .

    SparkSqlBatch

    A configuration for running Apache Spark SQL queries as a batch workload.

    JSON representation 
     { 
 "queryFileUri" 
 : 
 string 
 , 
 "queryVariables" 
 : 
 { 
 string 
 : 
 string 
 , 
 ... 
 } 
 , 
 "jarFileUris" 
 : 
 [ 
 string 
 ] 
 }
    Fields
    queryFileUri

    string

    Required. The HCFS URI of the script that contains Spark SQL queries to execute.
    queryVariables

    map (key: string, value: string)

    Optional. Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value"; ).

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

    string

    Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.

    State

    The batch state.

    Enums
    STATE_UNSPECIFIED The batch state is unknown.
    PENDING The batch is created before running.
    RUNNING The batch is running.
    CANCELLING The batch is cancelling.
    CANCELLED The batch cancellation was successful.
    SUCCEEDED The batch completed successfully.
    FAILED The batch is no longer running due to an error.

    StateHistory

    Historical state information.

    JSON representation 
     { 
 "state" 
 : 
 enum (  State 
 
) 
 , 
 "stateMessage" 
 : 
 string 
 , 
 "stateStartTime" 
 : 
 string 
 }
    Fields
    state

    enum ( State )

    Output only. The state of the batch at this point in history.
    stateMessage

    string

    Output only. Details about the state at this point in history.
    stateStartTime

    string ( Timestamp format)

    Output only. The time when the batch entered the historical state.

    Uses RFC 3339, where generated output will always be Z-normalized and uses 0, 3, 6 or 9 fractional digits. Offsets other than "Z" are also accepted. Examples: "2014-10-02T15:01:23Z" , "2014-10-02T15:01:23.045123456Z" or "2014-10-02T15:01:23+05:30" .

    Methods

    create

    		Creates a batch workload that executes asynchronously.

    delete

    		Deletes the batch workload resource.

    get

    		Gets the batch workload resource representation.

    list

    		Lists batch workloads.
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