Job (AWS SDK for Java

java.lang.Object
- com.amazonaws.services.glue.model.Job

All Implemented Interfaces:: StructuredPojo, Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class Job
extends Object
implements Serializable, Cloneable, StructuredPojo

Specifies a job definition.

See Also:: AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

Job()

Constructors
Constructor and Description
`Job()`

Method Summary

All Methods Instance Methods Concrete Methods Deprecated Methods
Modifier and Type	Method and Description
`Job`	`addCodeGenConfigurationNodesEntry(String key, CodeGenConfigurationNode value)` Add a single CodeGenConfigurationNodes entry
`Job`	`addDefaultArgumentsEntry(String key, String value)` Add a single DefaultArguments entry
`Job`	`addNonOverridableArgumentsEntry(String key, String value)` Add a single NonOverridableArguments entry
`Job`	`clearCodeGenConfigurationNodesEntries()` Removes all the entries added into CodeGenConfigurationNodes.
`Job`	`clearDefaultArgumentsEntries()` Removes all the entries added into DefaultArguments.
`Job`	`clearNonOverridableArgumentsEntries()` Removes all the entries added into NonOverridableArguments.
`Job`	`clone()`
`boolean`	`equals(Object obj)`
`Integer`	`getAllocatedCapacity()` Deprecated.
`Map<String,CodeGenConfigurationNode>`	`getCodeGenConfigurationNodes()` The representation of a directed acyclic graph on which both the Glue Studio visual component and Glue Studio code generation is based.
`JobCommand`	`getCommand()` The `JobCommand` that runs this job.
`ConnectionsList`	`getConnections()` The connections used for this job.
`Date`	`getCreatedOn()` The time and date that this job definition was created.
`Map<String,String>`	`getDefaultArguments()` The default arguments for this job, specified as name-value pairs.
`String`	`getDescription()` A description of the job.
`ExecutionProperty`	`getExecutionProperty()` An `ExecutionProperty` specifying the maximum number of concurrent runs allowed for this job.
`String`	`getGlueVersion()` Glue version determines the versions of Apache Spark and Python that Glue supports.
`Date`	`getLastModifiedOn()` The last point in time when this job definition was modified.
`String`	`getLogUri()` This field is reserved for future use.
`Double`	`getMaxCapacity()` For Glue version 1.0 or earlier jobs, using the standard worker type, the number of Glue data processing units (DPUs) that can be allocated when this job runs.
`Integer`	`getMaxRetries()` The maximum number of times to retry this job after a JobRun fails.
`String`	`getName()` The name you assign to this job definition.
`Map<String,String>`	`getNonOverridableArguments()` Non-overridable arguments for this job, specified as name-value pairs.
`NotificationProperty`	`getNotificationProperty()` Specifies configuration properties of a job notification.
`Integer`	`getNumberOfWorkers()` The number of workers of a defined `workerType` that are allocated when a job runs.
`String`	`getRole()` The name or Amazon Resource Name (ARN) of the IAM role associated with this job.
`String`	`getSecurityConfiguration()` The name of the `SecurityConfiguration` structure to be used with this job.
`Integer`	`getTimeout()` The job timeout in minutes.
`String`	`getWorkerType()` The type of predefined worker that is allocated when a job runs.
`int`	`hashCode()`
`void`	`marshall(ProtocolMarshaller protocolMarshaller)` Marshalls this structured data using the given `ProtocolMarshaller`.
`void`	`setAllocatedCapacity(Integer allocatedCapacity)` Deprecated.
`void`	`setCodeGenConfigurationNodes(Map<String,CodeGenConfigurationNode> codeGenConfigurationNodes)` The representation of a directed acyclic graph on which both the Glue Studio visual component and Glue Studio code generation is based.
`void`	`setCommand(JobCommand command)` The `JobCommand` that runs this job.
`void`	`setConnections(ConnectionsList connections)` The connections used for this job.
`void`	`setCreatedOn(Date createdOn)` The time and date that this job definition was created.
`void`	`setDefaultArguments(Map<String,String> defaultArguments)` The default arguments for this job, specified as name-value pairs.
`void`	`setDescription(String description)` A description of the job.
`void`	`setExecutionProperty(ExecutionProperty executionProperty)` An `ExecutionProperty` specifying the maximum number of concurrent runs allowed for this job.
`void`	`setGlueVersion(String glueVersion)` Glue version determines the versions of Apache Spark and Python that Glue supports.
`void`	`setLastModifiedOn(Date lastModifiedOn)` The last point in time when this job definition was modified.
`void`	`setLogUri(String logUri)` This field is reserved for future use.
`void`	`setMaxCapacity(Double maxCapacity)` For Glue version 1.0 or earlier jobs, using the standard worker type, the number of Glue data processing units (DPUs) that can be allocated when this job runs.
`void`	`setMaxRetries(Integer maxRetries)` The maximum number of times to retry this job after a JobRun fails.
`void`	`setName(String name)` The name you assign to this job definition.
`void`	`setNonOverridableArguments(Map<String,String> nonOverridableArguments)` Non-overridable arguments for this job, specified as name-value pairs.
`void`	`setNotificationProperty(NotificationProperty notificationProperty)` Specifies configuration properties of a job notification.
`void`	`setNumberOfWorkers(Integer numberOfWorkers)` The number of workers of a defined `workerType` that are allocated when a job runs.
`void`	`setRole(String role)` The name or Amazon Resource Name (ARN) of the IAM role associated with this job.
`void`	`setSecurityConfiguration(String securityConfiguration)` The name of the `SecurityConfiguration` structure to be used with this job.
`void`	`setTimeout(Integer timeout)` The job timeout in minutes.
`void`	`setWorkerType(String workerType)` The type of predefined worker that is allocated when a job runs.
`String`	`toString()` Returns a string representation of this object.
`Job`	`withAllocatedCapacity(Integer allocatedCapacity)` Deprecated.
`Job`	`withCodeGenConfigurationNodes(Map<String,CodeGenConfigurationNode> codeGenConfigurationNodes)` The representation of a directed acyclic graph on which both the Glue Studio visual component and Glue Studio code generation is based.
`Job`	`withCommand(JobCommand command)` The `JobCommand` that runs this job.
`Job`	`withConnections(ConnectionsList connections)` The connections used for this job.
`Job`	`withCreatedOn(Date createdOn)` The time and date that this job definition was created.
`Job`	`withDefaultArguments(Map<String,String> defaultArguments)` The default arguments for this job, specified as name-value pairs.
`Job`	`withDescription(String description)` A description of the job.
`Job`	`withExecutionProperty(ExecutionProperty executionProperty)` An `ExecutionProperty` specifying the maximum number of concurrent runs allowed for this job.
`Job`	`withGlueVersion(String glueVersion)` Glue version determines the versions of Apache Spark and Python that Glue supports.
`Job`	`withLastModifiedOn(Date lastModifiedOn)` The last point in time when this job definition was modified.
`Job`	`withLogUri(String logUri)` This field is reserved for future use.
`Job`	`withMaxCapacity(Double maxCapacity)` For Glue version 1.0 or earlier jobs, using the standard worker type, the number of Glue data processing units (DPUs) that can be allocated when this job runs.
`Job`	`withMaxRetries(Integer maxRetries)` The maximum number of times to retry this job after a JobRun fails.
`Job`	`withName(String name)` The name you assign to this job definition.
`Job`	`withNonOverridableArguments(Map<String,String> nonOverridableArguments)` Non-overridable arguments for this job, specified as name-value pairs.
`Job`	`withNotificationProperty(NotificationProperty notificationProperty)` Specifies configuration properties of a job notification.
`Job`	`withNumberOfWorkers(Integer numberOfWorkers)` The number of workers of a defined `workerType` that are allocated when a job runs.
`Job`	`withRole(String role)` The name or Amazon Resource Name (ARN) of the IAM role associated with this job.
`Job`	`withSecurityConfiguration(String securityConfiguration)` The name of the `SecurityConfiguration` structure to be used with this job.
`Job`	`withTimeout(Integer timeout)` The job timeout in minutes.
`Job`	`withWorkerType(String workerType)` The type of predefined worker that is allocated when a job runs.
`Job`	`withWorkerType(WorkerType workerType)` The type of predefined worker that is allocated when a job runs.

Methods inherited from class java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - Job
```
public Job()
```
- Method Detail
  - setName
```
public void setName(String name)
```
    The name you assign to this job definition.
    
    Parameters:
    
    name - The name you assign to this job definition.
  - getName
```
public String getName()
```
    The name you assign to this job definition.
    
    Returns:
    
    The name you assign to this job definition.
  - withName
```
public Job withName(String name)
```
    The name you assign to this job definition.
    
    Parameters:
    
    name - The name you assign to this job definition.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setDescription
```
public void setDescription(String description)
```
    A description of the job.
    
    Parameters:
    
    description - A description of the job.
  - getDescription
```
public String getDescription()
```
    A description of the job.
    
    Returns:
    
    A description of the job.
  - withDescription
```
public Job withDescription(String description)
```
    A description of the job.
    
    Parameters:
    
    description - A description of the job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setLogUri
```
public void setLogUri(String logUri)
```
    This field is reserved for future use.
    
    Parameters:
    
    logUri - This field is reserved for future use.
  - getLogUri
```
public String getLogUri()
```
    This field is reserved for future use.
    
    Returns:
    
    This field is reserved for future use.
  - withLogUri
```
public Job withLogUri(String logUri)
```
    This field is reserved for future use.
    
    Parameters:
    
    logUri - This field is reserved for future use.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setRole
```
public void setRole(String role)
```
    The name or Amazon Resource Name (ARN) of the IAM role associated with this job.
    
    Parameters:
    
    role - The name or Amazon Resource Name (ARN) of the IAM role associated with this job.
  - getRole
```
public String getRole()
```
    The name or Amazon Resource Name (ARN) of the IAM role associated with this job.
    
    Returns:
    
    The name or Amazon Resource Name (ARN) of the IAM role associated with this job.
  - withRole
```
public Job withRole(String role)
```
    The name or Amazon Resource Name (ARN) of the IAM role associated with this job.
    
    Parameters:
    
    role - The name or Amazon Resource Name (ARN) of the IAM role associated with this job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setCreatedOn
```
public void setCreatedOn(Date createdOn)
```
    The time and date that this job definition was created.
    
    Parameters:
    
    createdOn - The time and date that this job definition was created.
  - getCreatedOn
```
public Date getCreatedOn()
```
    The time and date that this job definition was created.
    
    Returns:
    
    The time and date that this job definition was created.
  - withCreatedOn
```
public Job withCreatedOn(Date createdOn)
```
    The time and date that this job definition was created.
    
    Parameters:
    
    createdOn - The time and date that this job definition was created.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setLastModifiedOn
```
public void setLastModifiedOn(Date lastModifiedOn)
```
    The last point in time when this job definition was modified.
    
    Parameters:
    
    lastModifiedOn - The last point in time when this job definition was modified.
  - getLastModifiedOn
```
public Date getLastModifiedOn()
```
    The last point in time when this job definition was modified.
    
    Returns:
    
    The last point in time when this job definition was modified.
  - withLastModifiedOn
```
public Job withLastModifiedOn(Date lastModifiedOn)
```
    The last point in time when this job definition was modified.
    
    Parameters:
    
    lastModifiedOn - The last point in time when this job definition was modified.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setExecutionProperty
```
public void setExecutionProperty(ExecutionProperty executionProperty)
```
    An ExecutionProperty specifying the maximum number of concurrent runs allowed for this job.
    
    Parameters:
    
    executionProperty - An ExecutionProperty specifying the maximum number of concurrent runs allowed for this job.
  - getExecutionProperty
```
public ExecutionProperty getExecutionProperty()
```
    An ExecutionProperty specifying the maximum number of concurrent runs allowed for this job.
    
    Returns:
    
    An ExecutionProperty specifying the maximum number of concurrent runs allowed for this job.
  - withExecutionProperty
```
public Job withExecutionProperty(ExecutionProperty executionProperty)
```
    An ExecutionProperty specifying the maximum number of concurrent runs allowed for this job.
    
    Parameters:
    
    executionProperty - An ExecutionProperty specifying the maximum number of concurrent runs allowed for this job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setCommand
```
public void setCommand(JobCommand command)
```
    The JobCommand that runs this job.
    
    Parameters:
    
    command - The JobCommand that runs this job.
  - getCommand
```
public JobCommand getCommand()
```
    The JobCommand that runs this job.
    
    Returns:
    
    The JobCommand that runs this job.
  - withCommand
```
public Job withCommand(JobCommand command)
```
    The JobCommand that runs this job.
    
    Parameters:
    
    command - The JobCommand that runs this job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getDefaultArguments
```
public Map<String,String> getDefaultArguments()
```
    The default arguments for this job, specified as name-value pairs.
    
    You can specify arguments here that your own job-execution script consumes, as well as arguments that Glue itself consumes.
    
    For information about how to specify and consume your own Job arguments, see the Calling Glue APIs in Python topic in the developer guide.
    
    For information about the key-value pairs that Glue consumes to set up your job, see the Special Parameters Used by Glue topic in the developer guide.
    
    Returns:
    
    The default arguments for this job, specified as name-value pairs.
    
    You can specify arguments here that your own job-execution script consumes, as well as arguments that Glue itself consumes.
    
    For information about how to specify and consume your own Job arguments, see the Calling Glue APIs in Python topic in the developer guide.
    
    For information about the key-value pairs that Glue consumes to set up your job, see the Special Parameters Used by Glue topic in the developer guide.
  - setDefaultArguments
```
public void setDefaultArguments(Map<String,String> defaultArguments)
```
    The default arguments for this job, specified as name-value pairs.
    
    You can specify arguments here that your own job-execution script consumes, as well as arguments that Glue itself consumes.
    
    For information about how to specify and consume your own Job arguments, see the Calling Glue APIs in Python topic in the developer guide.
    
    For information about the key-value pairs that Glue consumes to set up your job, see the Special Parameters Used by Glue topic in the developer guide.
    
    Parameters:
    
    defaultArguments - The default arguments for this job, specified as name-value pairs.
    
    You can specify arguments here that your own job-execution script consumes, as well as arguments that Glue itself consumes.
    
    For information about how to specify and consume your own Job arguments, see the Calling Glue APIs in Python topic in the developer guide.
    
    For information about the key-value pairs that Glue consumes to set up your job, see the Special Parameters Used by Glue topic in the developer guide.
  - withDefaultArguments
```
public Job withDefaultArguments(Map<String,String> defaultArguments)
```
    The default arguments for this job, specified as name-value pairs.
    
    You can specify arguments here that your own job-execution script consumes, as well as arguments that Glue itself consumes.
    
    For information about how to specify and consume your own Job arguments, see the Calling Glue APIs in Python topic in the developer guide.
    
    For information about the key-value pairs that Glue consumes to set up your job, see the Special Parameters Used by Glue topic in the developer guide.
    
    Parameters:
    
    defaultArguments - The default arguments for this job, specified as name-value pairs.
    
    You can specify arguments here that your own job-execution script consumes, as well as arguments that Glue itself consumes.
    
    For information about how to specify and consume your own Job arguments, see the Calling Glue APIs in Python topic in the developer guide.
    
    For information about the key-value pairs that Glue consumes to set up your job, see the Special Parameters Used by Glue topic in the developer guide.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - addDefaultArgumentsEntry
```
public Job addDefaultArgumentsEntry(String key,
                                    String value)
```
    Add a single DefaultArguments entry
    
    See Also:
    
    withDefaultArguments(java.util.Map<java.lang.String, java.lang.String>)
  - clearDefaultArgumentsEntries
```
public Job clearDefaultArgumentsEntries()
```
    Removes all the entries added into DefaultArguments.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getNonOverridableArguments
```
public Map<String,String> getNonOverridableArguments()
```
    Non-overridable arguments for this job, specified as name-value pairs.
    
    Returns:
    
    Non-overridable arguments for this job, specified as name-value pairs.
  - setNonOverridableArguments
```
public void setNonOverridableArguments(Map<String,String> nonOverridableArguments)
```
    Non-overridable arguments for this job, specified as name-value pairs.
    
    Parameters:
    
    nonOverridableArguments - Non-overridable arguments for this job, specified as name-value pairs.
  - withNonOverridableArguments
```
public Job withNonOverridableArguments(Map<String,String> nonOverridableArguments)
```
    Non-overridable arguments for this job, specified as name-value pairs.
    
    Parameters:
    
    nonOverridableArguments - Non-overridable arguments for this job, specified as name-value pairs.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - addNonOverridableArgumentsEntry
```
public Job addNonOverridableArgumentsEntry(String key,
                                           String value)
```
    Add a single NonOverridableArguments entry
    
    See Also:
    
    withNonOverridableArguments(java.util.Map<java.lang.String, java.lang.String>)
  - clearNonOverridableArgumentsEntries
```
public Job clearNonOverridableArgumentsEntries()
```
    Removes all the entries added into NonOverridableArguments.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setConnections
```
public void setConnections(ConnectionsList connections)
```
    The connections used for this job.
    
    Parameters:
    
    connections - The connections used for this job.
  - getConnections
```
public ConnectionsList getConnections()
```
    The connections used for this job.
    
    Returns:
    
    The connections used for this job.
  - withConnections
```
public Job withConnections(ConnectionsList connections)
```
    The connections used for this job.
    
    Parameters:
    
    connections - The connections used for this job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setMaxRetries
```
public void setMaxRetries(Integer maxRetries)
```
    The maximum number of times to retry this job after a JobRun fails.
    
    Parameters:
    
    maxRetries - The maximum number of times to retry this job after a JobRun fails.
  - getMaxRetries
```
public Integer getMaxRetries()
```
    The maximum number of times to retry this job after a JobRun fails.
    
    Returns:
    
    The maximum number of times to retry this job after a JobRun fails.
  - withMaxRetries
```
public Job withMaxRetries(Integer maxRetries)
```
    The maximum number of times to retry this job after a JobRun fails.
    
    Parameters:
    
    maxRetries - The maximum number of times to retry this job after a JobRun fails.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setAllocatedCapacity
```
@Deprecated
public void setAllocatedCapacity(Integer allocatedCapacity)
```
    Deprecated.
    
    This field is deprecated. Use MaxCapacity instead.
    
    The number of Glue data processing units (DPUs) allocated to runs of this job. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page.
    
    Parameters:
    
    allocatedCapacity - This field is deprecated. Use MaxCapacity instead.
    
    The number of Glue data processing units (DPUs) allocated to runs of this job. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page.
  - getAllocatedCapacity
```
@Deprecated
public Integer getAllocatedCapacity()
```
    Deprecated.
    
    This field is deprecated. Use MaxCapacity instead.
    
    The number of Glue data processing units (DPUs) allocated to runs of this job. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page.
    
    Returns:
    
    This field is deprecated. Use MaxCapacity instead.
    
    The number of Glue data processing units (DPUs) allocated to runs of this job. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page.
  - withAllocatedCapacity
```
@Deprecated
public Job withAllocatedCapacity(Integer allocatedCapacity)
```
    Deprecated.
    
    This field is deprecated. Use MaxCapacity instead.
    
    The number of Glue data processing units (DPUs) allocated to runs of this job. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page.
    
    Parameters:
    
    allocatedCapacity - This field is deprecated. Use MaxCapacity instead.
    
    The number of Glue data processing units (DPUs) allocated to runs of this job. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setTimeout
```
public void setTimeout(Integer timeout)
```
    The job timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters TIMEOUT status. The default is 2,880 minutes (48 hours).
    
    Parameters:
    
    timeout - The job timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters TIMEOUT status. The default is 2,880 minutes (48 hours).
  - getTimeout
```
public Integer getTimeout()
```
    The job timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters TIMEOUT status. The default is 2,880 minutes (48 hours).
    
    Returns:
    
    The job timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters TIMEOUT status. The default is 2,880 minutes (48 hours).
  - withTimeout
```
public Job withTimeout(Integer timeout)
```
    The job timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters TIMEOUT status. The default is 2,880 minutes (48 hours).
    
    Parameters:
    
    timeout - The job timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters TIMEOUT status. The default is 2,880 minutes (48 hours).
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setMaxCapacity
```
public void setMaxCapacity(Double maxCapacity)
```
    For Glue version 1.0 or earlier jobs, using the standard worker type, the number of Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page.
    
    Do not set Max Capacity if using WorkerType and NumberOfWorkers.
    
    The value that can be allocated for MaxCapacity depends on whether you are running a Python shell job, an Apache Spark ETL job, or an Apache Spark streaming ETL job:
    - When you specify a Python shell job (JobCommand.Name="pythonshell"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.
    - When you specify an Apache Spark ETL job (JobCommand.Name="glueetl") or Apache Spark streaming ETL job (JobCommand.Name="gluestreaming"), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.
    For Glue version 2.0 jobs, you cannot instead specify a Maximum capacity. Instead, you should specify a Worker type and the Number of workers.
    Parameters:
    maxCapacity - For Glue version 1.0 or earlier jobs, using the standard worker type, the number of Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page.
    
    Do not set Max Capacity if using WorkerType and NumberOfWorkers.
    
    The value that can be allocated for MaxCapacity depends on whether you are running a Python shell job, an Apache Spark ETL job, or an Apache Spark streaming ETL job:
    
    When you specify a Python shell job (JobCommand.Name="pythonshell"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.
    
    When you specify an Apache Spark ETL job (JobCommand.Name="glueetl") or Apache Spark streaming ETL job (JobCommand.Name="gluestreaming"), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.
    
    For Glue version 2.0 jobs, you cannot instead specify a Maximum capacity. Instead, you should specify a Worker type and the Number of workers.
  - getMaxCapacity
```
public Double getMaxCapacity()
```
    For Glue version 1.0 or earlier jobs, using the standard worker type, the number of Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page.
    
    Do not set Max Capacity if using WorkerType and NumberOfWorkers.
    
    The value that can be allocated for MaxCapacity depends on whether you are running a Python shell job, an Apache Spark ETL job, or an Apache Spark streaming ETL job:
    - When you specify a Python shell job (JobCommand.Name="pythonshell"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.
    - When you specify an Apache Spark ETL job (JobCommand.Name="glueetl") or Apache Spark streaming ETL job (JobCommand.Name="gluestreaming"), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.
    For Glue version 2.0 jobs, you cannot instead specify a Maximum capacity. Instead, you should specify a Worker type and the Number of workers.
    Returns:
    For Glue version 1.0 or earlier jobs, using the standard worker type, the number of Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page.
    
    Do not set Max Capacity if using WorkerType and NumberOfWorkers.
    
    The value that can be allocated for MaxCapacity depends on whether you are running a Python shell job, an Apache Spark ETL job, or an Apache Spark streaming ETL job:
    
    When you specify a Python shell job (JobCommand.Name="pythonshell"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.
    
    When you specify an Apache Spark ETL job (JobCommand.Name="glueetl") or Apache Spark streaming ETL job (JobCommand.Name="gluestreaming"), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.
    
    For Glue version 2.0 jobs, you cannot instead specify a Maximum capacity. Instead, you should specify a Worker type and the Number of workers.
  - withMaxCapacity
```
public Job withMaxCapacity(Double maxCapacity)
```
    For Glue version 1.0 or earlier jobs, using the standard worker type, the number of Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page.
    
    Do not set Max Capacity if using WorkerType and NumberOfWorkers.
    
    The value that can be allocated for MaxCapacity depends on whether you are running a Python shell job, an Apache Spark ETL job, or an Apache Spark streaming ETL job:
    - When you specify a Python shell job (JobCommand.Name="pythonshell"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.
    - When you specify an Apache Spark ETL job (JobCommand.Name="glueetl") or Apache Spark streaming ETL job (JobCommand.Name="gluestreaming"), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.
    For Glue version 2.0 jobs, you cannot instead specify a Maximum capacity. Instead, you should specify a Worker type and the Number of workers.
    Parameters:
    maxCapacity - For Glue version 1.0 or earlier jobs, using the standard worker type, the number of Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page.
    
    Do not set Max Capacity if using WorkerType and NumberOfWorkers.
    
    The value that can be allocated for MaxCapacity depends on whether you are running a Python shell job, an Apache Spark ETL job, or an Apache Spark streaming ETL job:
    
    When you specify a Python shell job (JobCommand.Name="pythonshell"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.
    
    When you specify an Apache Spark ETL job (JobCommand.Name="glueetl") or Apache Spark streaming ETL job (JobCommand.Name="gluestreaming"), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.
    
    For Glue version 2.0 jobs, you cannot instead specify a Maximum capacity. Instead, you should specify a Worker type and the Number of workers.
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setWorkerType
```
public void setWorkerType(String workerType)
```
    The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, or G.2X.
    - For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
    - For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
    - For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
    Parameters:
    workerType - The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, or G.2X.
    
    For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
    
    For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
    
    For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
    See Also:
    
    WorkerType
  - getWorkerType
```
public String getWorkerType()
```
    The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, or G.2X.
    - For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
    - For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
    - For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
    Returns:
    The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, or G.2X.
    
    For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
    
    For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
    
    For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
    See Also:
    
    WorkerType
  - withWorkerType
```
public Job withWorkerType(String workerType)
```
    The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, or G.2X.
    - For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
    - For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
    - For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
    Parameters:
    workerType - The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, or G.2X.
    
    For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
    
    For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
    
    For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    WorkerType
  - withWorkerType
```
public Job withWorkerType(WorkerType workerType)
```
    The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, or G.2X.
    - For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
    - For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
    - For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
    Parameters:
    workerType - The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, or G.2X.
    
    For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
    
    For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
    
    For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    WorkerType
  - setNumberOfWorkers
```
public void setNumberOfWorkers(Integer numberOfWorkers)
```
    The number of workers of a defined workerType that are allocated when a job runs.
    
    The maximum number of workers you can define are 299 for G.1X, and 149 for G.2X.
    
    Parameters:
    
    numberOfWorkers - The number of workers of a defined workerType that are allocated when a job runs.
    
    The maximum number of workers you can define are 299 for G.1X, and 149 for G.2X.
  - getNumberOfWorkers
```
public Integer getNumberOfWorkers()
```
    The number of workers of a defined workerType that are allocated when a job runs.
    
    The maximum number of workers you can define are 299 for G.1X, and 149 for G.2X.
    
    Returns:
    
    The number of workers of a defined workerType that are allocated when a job runs.
    
    The maximum number of workers you can define are 299 for G.1X, and 149 for G.2X.
  - withNumberOfWorkers
```
public Job withNumberOfWorkers(Integer numberOfWorkers)
```
    The number of workers of a defined workerType that are allocated when a job runs.
    
    The maximum number of workers you can define are 299 for G.1X, and 149 for G.2X.
    
    Parameters:
    
    numberOfWorkers - The number of workers of a defined workerType that are allocated when a job runs.
    
    The maximum number of workers you can define are 299 for G.1X, and 149 for G.2X.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setSecurityConfiguration
```
public void setSecurityConfiguration(String securityConfiguration)
```
    The name of the SecurityConfiguration structure to be used with this job.
    
    Parameters:
    
    securityConfiguration - The name of the SecurityConfiguration structure to be used with this job.
  - getSecurityConfiguration
```
public String getSecurityConfiguration()
```
    The name of the SecurityConfiguration structure to be used with this job.
    
    Returns:
    
    The name of the SecurityConfiguration structure to be used with this job.
  - withSecurityConfiguration
```
public Job withSecurityConfiguration(String securityConfiguration)
```
    The name of the SecurityConfiguration structure to be used with this job.
    
    Parameters:
    
    securityConfiguration - The name of the SecurityConfiguration structure to be used with this job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setNotificationProperty
```
public void setNotificationProperty(NotificationProperty notificationProperty)
```
    Specifies configuration properties of a job notification.
    
    Parameters:
    
    notificationProperty - Specifies configuration properties of a job notification.
  - getNotificationProperty
```
public NotificationProperty getNotificationProperty()
```
    Specifies configuration properties of a job notification.
    
    Returns:
    
    Specifies configuration properties of a job notification.
  - withNotificationProperty
```
public Job withNotificationProperty(NotificationProperty notificationProperty)
```
    Specifies configuration properties of a job notification.
    
    Parameters:
    
    notificationProperty - Specifies configuration properties of a job notification.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setGlueVersion
```
public void setGlueVersion(String glueVersion)
```
    Glue version determines the versions of Apache Spark and Python that Glue supports. The Python version indicates the version supported for jobs of type Spark.
    
    For more information about the available Glue versions and corresponding Spark and Python versions, see Glue version in the developer guide.
    
    Jobs that are created without specifying a Glue version default to Glue 0.9.
    
    Parameters:
    
    glueVersion - Glue version determines the versions of Apache Spark and Python that Glue supports. The Python version indicates the version supported for jobs of type Spark.
    
    For more information about the available Glue versions and corresponding Spark and Python versions, see Glue version in the developer guide.
    
    Jobs that are created without specifying a Glue version default to Glue 0.9.
  - getGlueVersion
```
public String getGlueVersion()
```
    Glue version determines the versions of Apache Spark and Python that Glue supports. The Python version indicates the version supported for jobs of type Spark.
    
    For more information about the available Glue versions and corresponding Spark and Python versions, see Glue version in the developer guide.
    
    Jobs that are created without specifying a Glue version default to Glue 0.9.
    
    Returns:
    
    Glue version determines the versions of Apache Spark and Python that Glue supports. The Python version indicates the version supported for jobs of type Spark.
    
    For more information about the available Glue versions and corresponding Spark and Python versions, see Glue version in the developer guide.
    
    Jobs that are created without specifying a Glue version default to Glue 0.9.
  - withGlueVersion
```
public Job withGlueVersion(String glueVersion)
```
    Glue version determines the versions of Apache Spark and Python that Glue supports. The Python version indicates the version supported for jobs of type Spark.
    
    For more information about the available Glue versions and corresponding Spark and Python versions, see Glue version in the developer guide.
    
    Jobs that are created without specifying a Glue version default to Glue 0.9.
    
    Parameters:
    
    glueVersion - Glue version determines the versions of Apache Spark and Python that Glue supports. The Python version indicates the version supported for jobs of type Spark.
    
    For more information about the available Glue versions and corresponding Spark and Python versions, see Glue version in the developer guide.
    
    Jobs that are created without specifying a Glue version default to Glue 0.9.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getCodeGenConfigurationNodes
```
public Map<String,CodeGenConfigurationNode> getCodeGenConfigurationNodes()
```
    The representation of a directed acyclic graph on which both the Glue Studio visual component and Glue Studio code generation is based.
    
    Returns:
    
    The representation of a directed acyclic graph on which both the Glue Studio visual component and Glue Studio code generation is based.
  - setCodeGenConfigurationNodes
```
public void setCodeGenConfigurationNodes(Map<String,CodeGenConfigurationNode> codeGenConfigurationNodes)
```
    The representation of a directed acyclic graph on which both the Glue Studio visual component and Glue Studio code generation is based.
    
    Parameters:
    
    codeGenConfigurationNodes - The representation of a directed acyclic graph on which both the Glue Studio visual component and Glue Studio code generation is based.
  - withCodeGenConfigurationNodes
```
public Job withCodeGenConfigurationNodes(Map<String,CodeGenConfigurationNode> codeGenConfigurationNodes)
```
    The representation of a directed acyclic graph on which both the Glue Studio visual component and Glue Studio code generation is based.
    
    Parameters:
    
    codeGenConfigurationNodes - The representation of a directed acyclic graph on which both the Glue Studio visual component and Glue Studio code generation is based.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - addCodeGenConfigurationNodesEntry
```
public Job addCodeGenConfigurationNodesEntry(String key,
                                             CodeGenConfigurationNode value)
```
    Add a single CodeGenConfigurationNodes entry
    
    See Also:
    
    withCodeGenConfigurationNodes(java.util.Map<java.lang.String, com.amazonaws.services.glue.model.CodeGenConfigurationNode>)
  - clearCodeGenConfigurationNodesEntries
```
public Job clearCodeGenConfigurationNodesEntries()
```
    Removes all the entries added into CodeGenConfigurationNodes.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - toString
```
public String toString()
```
    Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
    
    Overrides:
    
    toString in class Object
    
    Returns:
    
    A string representation of this object.
    
    See Also:
    
    Object.toString()
  - equals
```
public boolean equals(Object obj)
```
    Overrides:
    
    equals in class Object
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - clone
```
public Job clone()
```
    Overrides:
    
    clone in class Object
  - marshall
```
public void marshall(ProtocolMarshaller protocolMarshaller)
```
    Description copied from interface: StructuredPojo
    
    Marshalls this structured data using the given ProtocolMarshaller.
    
    Specified by:
    
    marshall in interface StructuredPojo
    
    Parameters:
    
    protocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.

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Class Job

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

Job

Method Detail

setName

getName

withName

setDescription

getDescription

withDescription

setLogUri

getLogUri

withLogUri

setRole

getRole

withRole

setCreatedOn

getCreatedOn

withCreatedOn

setLastModifiedOn

getLastModifiedOn

withLastModifiedOn

setExecutionProperty

getExecutionProperty

withExecutionProperty

setCommand

getCommand

withCommand

getDefaultArguments

setDefaultArguments

withDefaultArguments

addDefaultArgumentsEntry

clearDefaultArgumentsEntries

getNonOverridableArguments

setNonOverridableArguments

withNonOverridableArguments

addNonOverridableArgumentsEntry

clearNonOverridableArgumentsEntries

setConnections

getConnections

withConnections

setMaxRetries

getMaxRetries

withMaxRetries

setAllocatedCapacity

getAllocatedCapacity

withAllocatedCapacity

setTimeout

getTimeout

withTimeout

setMaxCapacity

getMaxCapacity

withMaxCapacity

setWorkerType

getWorkerType

withWorkerType

withWorkerType

setNumberOfWorkers

getNumberOfWorkers

withNumberOfWorkers

setSecurityConfiguration

getSecurityConfiguration

withSecurityConfiguration

setNotificationProperty

getNotificationProperty

withNotificationProperty

setGlueVersion

getGlueVersion

withGlueVersion

getCodeGenConfigurationNodes

setCodeGenConfigurationNodes

withCodeGenConfigurationNodes

addCodeGenConfigurationNodesEntry

clearCodeGenConfigurationNodesEntries

toString

equals