CreateSessionRequest (AWS SDK for Java

java.lang.Object
- com.amazonaws.AmazonWebServiceRequest
- - com.amazonaws.services.glue.model.CreateSessionRequest

All Implemented Interfaces:: HandlerContextAware, ReadLimitInfo, Serializable, Cloneable

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

Request to create a new session.

See Also:: AWS API Documentation, Serialized Form

Field Summary
- Fields inherited from class com.amazonaws.AmazonWebServiceRequest
  NOOP

Constructor Summary

Constructors
Constructor and Description

CreateSessionRequest()

Constructors
Constructor and Description
`CreateSessionRequest()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`CreateSessionRequest`	`addDefaultArgumentsEntry(String key, String value)` Add a single DefaultArguments entry
`CreateSessionRequest`	`addTagsEntry(String key, String value)` Add a single Tags entry
`CreateSessionRequest`	`clearDefaultArgumentsEntries()` Removes all the entries added into DefaultArguments.
`CreateSessionRequest`	`clearTagsEntries()` Removes all the entries added into Tags.
`CreateSessionRequest`	`clone()` Creates a shallow clone of this object for all fields except the handler context.
`boolean`	`equals(Object obj)`
`SessionCommand`	`getCommand()` The `SessionCommand` that runs the job.
`ConnectionsList`	`getConnections()` The number of connections to use for the session.
`Map<String,String>`	`getDefaultArguments()` A map array of key-value pairs.
`String`	`getDescription()` The description of the session.
`String`	`getGlueVersion()` The Glue version determines the versions of Apache Spark and Python that Glue supports.
`String`	`getId()` The ID of the session request.
`Integer`	`getIdleTimeout()` The number of minutes when idle before session times out.
`Double`	`getMaxCapacity()` The number of Glue data processing units (DPUs) that can be allocated when the job runs.
`Integer`	`getNumberOfWorkers()` The number of workers of a defined `WorkerType` to use for the session.
`String`	`getRequestOrigin()` The origin of the request.
`String`	`getRole()` The IAM Role ARN
`String`	`getSecurityConfiguration()` The name of the SecurityConfiguration structure to be used with the session
`Map<String,String>`	`getTags()` The map of key value pairs (tags) belonging to the session.
`Integer`	`getTimeout()` The number of minutes before session times out.
`String`	`getWorkerType()` The type of predefined worker that is allocated when a job runs.
`int`	`hashCode()`
`void`	`setCommand(SessionCommand command)` The `SessionCommand` that runs the job.
`void`	`setConnections(ConnectionsList connections)` The number of connections to use for the session.
`void`	`setDefaultArguments(Map<String,String> defaultArguments)` A map array of key-value pairs.
`void`	`setDescription(String description)` The description of the session.
`void`	`setGlueVersion(String glueVersion)` The Glue version determines the versions of Apache Spark and Python that Glue supports.
`void`	`setId(String id)` The ID of the session request.
`void`	`setIdleTimeout(Integer idleTimeout)` The number of minutes when idle before session times out.
`void`	`setMaxCapacity(Double maxCapacity)` The number of Glue data processing units (DPUs) that can be allocated when the job runs.
`void`	`setNumberOfWorkers(Integer numberOfWorkers)` The number of workers of a defined `WorkerType` to use for the session.
`void`	`setRequestOrigin(String requestOrigin)` The origin of the request.
`void`	`setRole(String role)` The IAM Role ARN
`void`	`setSecurityConfiguration(String securityConfiguration)` The name of the SecurityConfiguration structure to be used with the session
`void`	`setTags(Map<String,String> tags)` The map of key value pairs (tags) belonging to the session.
`void`	`setTimeout(Integer timeout)` The number of minutes before session times out.
`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.
`CreateSessionRequest`	`withCommand(SessionCommand command)` The `SessionCommand` that runs the job.
`CreateSessionRequest`	`withConnections(ConnectionsList connections)` The number of connections to use for the session.
`CreateSessionRequest`	`withDefaultArguments(Map<String,String> defaultArguments)` A map array of key-value pairs.
`CreateSessionRequest`	`withDescription(String description)` The description of the session.
`CreateSessionRequest`	`withGlueVersion(String glueVersion)` The Glue version determines the versions of Apache Spark and Python that Glue supports.
`CreateSessionRequest`	`withId(String id)` The ID of the session request.
`CreateSessionRequest`	`withIdleTimeout(Integer idleTimeout)` The number of minutes when idle before session times out.
`CreateSessionRequest`	`withMaxCapacity(Double maxCapacity)` The number of Glue data processing units (DPUs) that can be allocated when the job runs.
`CreateSessionRequest`	`withNumberOfWorkers(Integer numberOfWorkers)` The number of workers of a defined `WorkerType` to use for the session.
`CreateSessionRequest`	`withRequestOrigin(String requestOrigin)` The origin of the request.
`CreateSessionRequest`	`withRole(String role)` The IAM Role ARN
`CreateSessionRequest`	`withSecurityConfiguration(String securityConfiguration)` The name of the SecurityConfiguration structure to be used with the session
`CreateSessionRequest`	`withTags(Map<String,String> tags)` The map of key value pairs (tags) belonging to the session.
`CreateSessionRequest`	`withTimeout(Integer timeout)` The number of minutes before session times out.
`CreateSessionRequest`	`withWorkerType(String workerType)` The type of predefined worker that is allocated when a job runs.
`CreateSessionRequest`	`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
  - CreateSessionRequest
```
public CreateSessionRequest()
```
- Method Detail
  - setId
```
public void setId(String id)
```
    The ID of the session request.
    
    Parameters:
    
    id - The ID of the session request.
  - getId
```
public String getId()
```
    The ID of the session request.
    
    Returns:
    
    The ID of the session request.
  - withId
```
public CreateSessionRequest withId(String id)
```
    The ID of the session request.
    
    Parameters:
    
    id - The ID of the session request.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setDescription
```
public void setDescription(String description)
```
    The description of the session.
    
    Parameters:
    
    description - The description of the session.
  - getDescription
```
public String getDescription()
```
    The description of the session.
    
    Returns:
    
    The description of the session.
  - withDescription
```
public CreateSessionRequest withDescription(String description)
```
    The description of the session.
    
    Parameters:
    
    description - The description of the session.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setRole
```
public void setRole(String role)
```
    The IAM Role ARN
    
    Parameters:
    
    role - The IAM Role ARN
  - getRole
```
public String getRole()
```
    The IAM Role ARN
    
    Returns:
    
    The IAM Role ARN
  - withRole
```
public CreateSessionRequest withRole(String role)
```
    The IAM Role ARN
    
    Parameters:
    
    role - The IAM Role ARN
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setCommand
```
public void setCommand(SessionCommand command)
```
    The SessionCommand that runs the job.
    
    Parameters:
    
    command - The SessionCommand that runs the job.
  - getCommand
```
public SessionCommand getCommand()
```
    The SessionCommand that runs the job.
    
    Returns:
    
    The SessionCommand that runs the job.
  - withCommand
```
public CreateSessionRequest withCommand(SessionCommand command)
```
    The SessionCommand that runs the job.
    
    Parameters:
    
    command - The SessionCommand that runs the job.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setTimeout
```
public void setTimeout(Integer timeout)
```
    The number of minutes before session times out. Default for Spark ETL jobs is 48 hours (2880 minutes), the maximum session lifetime for this job type. Consult the documentation for other job types.
    
    Parameters:
    
    timeout - The number of minutes before session times out. Default for Spark ETL jobs is 48 hours (2880 minutes), the maximum session lifetime for this job type. Consult the documentation for other job types.
  - getTimeout
```
public Integer getTimeout()
```
    The number of minutes before session times out. Default for Spark ETL jobs is 48 hours (2880 minutes), the maximum session lifetime for this job type. Consult the documentation for other job types.
    
    Returns:
    
    The number of minutes before session times out. Default for Spark ETL jobs is 48 hours (2880 minutes), the maximum session lifetime for this job type. Consult the documentation for other job types.
  - withTimeout
```
public CreateSessionRequest withTimeout(Integer timeout)
```
    The number of minutes before session times out. Default for Spark ETL jobs is 48 hours (2880 minutes), the maximum session lifetime for this job type. Consult the documentation for other job types.
    
    Parameters:
    
    timeout - The number of minutes before session times out. Default for Spark ETL jobs is 48 hours (2880 minutes), the maximum session lifetime for this job type. Consult the documentation for other job types.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setIdleTimeout
```
public void setIdleTimeout(Integer idleTimeout)
```
    The number of minutes when idle before session times out. Default for Spark ETL jobs is value of Timeout. Consult the documentation for other job types.
    
    Parameters:
    
    idleTimeout - The number of minutes when idle before session times out. Default for Spark ETL jobs is value of Timeout. Consult the documentation for other job types.
  - getIdleTimeout
```
public Integer getIdleTimeout()
```
    The number of minutes when idle before session times out. Default for Spark ETL jobs is value of Timeout. Consult the documentation for other job types.
    
    Returns:
    
    The number of minutes when idle before session times out. Default for Spark ETL jobs is value of Timeout. Consult the documentation for other job types.
  - withIdleTimeout
```
public CreateSessionRequest withIdleTimeout(Integer idleTimeout)
```
    The number of minutes when idle before session times out. Default for Spark ETL jobs is value of Timeout. Consult the documentation for other job types.
    
    Parameters:
    
    idleTimeout - The number of minutes when idle before session times out. Default for Spark ETL jobs is value of Timeout. Consult the documentation for other job types.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getDefaultArguments
```
public Map<String,String> getDefaultArguments()
```
    A map array of key-value pairs. Max is 75 pairs.
    
    Returns:
    
    A map array of key-value pairs. Max is 75 pairs.
  - setDefaultArguments
```
public void setDefaultArguments(Map<String,String> defaultArguments)
```
    A map array of key-value pairs. Max is 75 pairs.
    
    Parameters:
    
    defaultArguments - A map array of key-value pairs. Max is 75 pairs.
  - withDefaultArguments
```
public CreateSessionRequest withDefaultArguments(Map<String,String> defaultArguments)
```
    A map array of key-value pairs. Max is 75 pairs.
    
    Parameters:
    
    defaultArguments - A map array of key-value pairs. Max is 75 pairs.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - addDefaultArgumentsEntry
```
public CreateSessionRequest addDefaultArgumentsEntry(String key,
                                                     String value)
```
    Add a single DefaultArguments entry
    
    See Also:
    
    withDefaultArguments(java.util.Map<java.lang.String, java.lang.String>)
  - clearDefaultArgumentsEntries
```
public CreateSessionRequest clearDefaultArgumentsEntries()
```
    Removes all the entries added into DefaultArguments.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setConnections
```
public void setConnections(ConnectionsList connections)
```
    The number of connections to use for the session.
    
    Parameters:
    
    connections - The number of connections to use for the session.
  - getConnections
```
public ConnectionsList getConnections()
```
    The number of connections to use for the session.
    
    Returns:
    
    The number of connections to use for the session.
  - withConnections
```
public CreateSessionRequest withConnections(ConnectionsList connections)
```
    The number of connections to use for the session.
    
    Parameters:
    
    connections - The number of connections to use for the session.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setMaxCapacity
```
public void setMaxCapacity(Double maxCapacity)
```
    The number of Glue data processing units (DPUs) that can be allocated when the job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB memory.
    
    Parameters:
    
    maxCapacity - The number of Glue data processing units (DPUs) that can be allocated when the job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB memory.
  - getMaxCapacity
```
public Double getMaxCapacity()
```
    The number of Glue data processing units (DPUs) that can be allocated when the job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB memory.
    
    Returns:
    
    The number of Glue data processing units (DPUs) that can be allocated when the job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB memory.
  - withMaxCapacity
```
public CreateSessionRequest withMaxCapacity(Double maxCapacity)
```
    The number of Glue data processing units (DPUs) that can be allocated when the job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB memory.
    
    Parameters:
    
    maxCapacity - The number of Glue data processing units (DPUs) that can be allocated when the job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB memory.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setNumberOfWorkers
```
public void setNumberOfWorkers(Integer numberOfWorkers)
```
    The number of workers of a defined WorkerType to use for the session.
    
    Parameters:
    
    numberOfWorkers - The number of workers of a defined WorkerType to use for the session.
  - getNumberOfWorkers
```
public Integer getNumberOfWorkers()
```
    The number of workers of a defined WorkerType to use for the session.
    
    Returns:
    
    The number of workers of a defined WorkerType to use for the session.
  - withNumberOfWorkers
```
public CreateSessionRequest withNumberOfWorkers(Integer numberOfWorkers)
```
    The number of workers of a defined WorkerType to use for the session.
    
    Parameters:
    
    numberOfWorkers - The number of workers of a defined WorkerType to use for the session.
    
    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 G.1X, G.2X, G.4X, or G.8X for Spark jobs. Accepts the value Z.2X for Ray notebooks.
    - For the G.1X worker type, each worker maps to 1 DPU (4 vCPUs, 16 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.
    - For the G.2X worker type, each worker maps to 2 DPU (8 vCPUs, 32 GB of memory) with 128GB disk (approximately 77GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.
    - For the G.4X worker type, each worker maps to 4 DPU (16 vCPUs, 64 GB of memory) with 256GB disk (approximately 235GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs in the following Amazon Web Services Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm).
    - For the G.8X worker type, each worker maps to 8 DPU (32 vCPUs, 128 GB of memory) with 512GB disk (approximately 487GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs, in the same Amazon Web Services Regions as supported for the G.4X worker type.
    - For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPUs, 64 GB of memory) with 128 GB disk (approximately 120GB free), and provides up to 8 Ray workers based on the autoscaler.
    Parameters:
    workerType - The type of predefined worker that is allocated when a job runs. Accepts a value of G.1X, G.2X, G.4X, or G.8X for Spark jobs. Accepts the value Z.2X for Ray notebooks.
    
    For the G.1X worker type, each worker maps to 1 DPU (4 vCPUs, 16 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.
    
    For the G.2X worker type, each worker maps to 2 DPU (8 vCPUs, 32 GB of memory) with 128GB disk (approximately 77GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.
    
    For the G.4X worker type, each worker maps to 4 DPU (16 vCPUs, 64 GB of memory) with 256GB disk (approximately 235GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs in the following Amazon Web Services Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm).
    
    For the G.8X worker type, each worker maps to 8 DPU (32 vCPUs, 128 GB of memory) with 512GB disk (approximately 487GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs, in the same Amazon Web Services Regions as supported for the G.4X worker type.
    
    For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPUs, 64 GB of memory) with 128 GB disk (approximately 120GB free), and provides up to 8 Ray workers based on the autoscaler.
    See Also:
    
    WorkerType
  - getWorkerType
```
public String getWorkerType()
```
    The type of predefined worker that is allocated when a job runs. Accepts a value of G.1X, G.2X, G.4X, or G.8X for Spark jobs. Accepts the value Z.2X for Ray notebooks.
    - For the G.1X worker type, each worker maps to 1 DPU (4 vCPUs, 16 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.
    - For the G.2X worker type, each worker maps to 2 DPU (8 vCPUs, 32 GB of memory) with 128GB disk (approximately 77GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.
    - For the G.4X worker type, each worker maps to 4 DPU (16 vCPUs, 64 GB of memory) with 256GB disk (approximately 235GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs in the following Amazon Web Services Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm).
    - For the G.8X worker type, each worker maps to 8 DPU (32 vCPUs, 128 GB of memory) with 512GB disk (approximately 487GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs, in the same Amazon Web Services Regions as supported for the G.4X worker type.
    - For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPUs, 64 GB of memory) with 128 GB disk (approximately 120GB free), and provides up to 8 Ray workers based on the autoscaler.
    Returns:
    The type of predefined worker that is allocated when a job runs. Accepts a value of G.1X, G.2X, G.4X, or G.8X for Spark jobs. Accepts the value Z.2X for Ray notebooks.
    
    For the G.1X worker type, each worker maps to 1 DPU (4 vCPUs, 16 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.
    
    For the G.2X worker type, each worker maps to 2 DPU (8 vCPUs, 32 GB of memory) with 128GB disk (approximately 77GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.
    
    For the G.4X worker type, each worker maps to 4 DPU (16 vCPUs, 64 GB of memory) with 256GB disk (approximately 235GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs in the following Amazon Web Services Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm).
    
    For the G.8X worker type, each worker maps to 8 DPU (32 vCPUs, 128 GB of memory) with 512GB disk (approximately 487GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs, in the same Amazon Web Services Regions as supported for the G.4X worker type.
    
    For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPUs, 64 GB of memory) with 128 GB disk (approximately 120GB free), and provides up to 8 Ray workers based on the autoscaler.
    See Also:
    
    WorkerType
  - withWorkerType
```
public CreateSessionRequest withWorkerType(String workerType)
```
    The type of predefined worker that is allocated when a job runs. Accepts a value of G.1X, G.2X, G.4X, or G.8X for Spark jobs. Accepts the value Z.2X for Ray notebooks.
    - For the G.1X worker type, each worker maps to 1 DPU (4 vCPUs, 16 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.
    - For the G.2X worker type, each worker maps to 2 DPU (8 vCPUs, 32 GB of memory) with 128GB disk (approximately 77GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.
    - For the G.4X worker type, each worker maps to 4 DPU (16 vCPUs, 64 GB of memory) with 256GB disk (approximately 235GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs in the following Amazon Web Services Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm).
    - For the G.8X worker type, each worker maps to 8 DPU (32 vCPUs, 128 GB of memory) with 512GB disk (approximately 487GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs, in the same Amazon Web Services Regions as supported for the G.4X worker type.
    - For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPUs, 64 GB of memory) with 128 GB disk (approximately 120GB free), and provides up to 8 Ray workers based on the autoscaler.
    Parameters:
    workerType - The type of predefined worker that is allocated when a job runs. Accepts a value of G.1X, G.2X, G.4X, or G.8X for Spark jobs. Accepts the value Z.2X for Ray notebooks.
    
    For the G.1X worker type, each worker maps to 1 DPU (4 vCPUs, 16 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.
    
    For the G.2X worker type, each worker maps to 2 DPU (8 vCPUs, 32 GB of memory) with 128GB disk (approximately 77GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.
    
    For the G.4X worker type, each worker maps to 4 DPU (16 vCPUs, 64 GB of memory) with 256GB disk (approximately 235GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs in the following Amazon Web Services Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm).
    
    For the G.8X worker type, each worker maps to 8 DPU (32 vCPUs, 128 GB of memory) with 512GB disk (approximately 487GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs, in the same Amazon Web Services Regions as supported for the G.4X worker type.
    
    For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPUs, 64 GB of memory) with 128 GB disk (approximately 120GB free), and provides up to 8 Ray workers based on the autoscaler.
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    WorkerType
  - withWorkerType
```
public CreateSessionRequest withWorkerType(WorkerType workerType)
```
    The type of predefined worker that is allocated when a job runs. Accepts a value of G.1X, G.2X, G.4X, or G.8X for Spark jobs. Accepts the value Z.2X for Ray notebooks.
    - For the G.1X worker type, each worker maps to 1 DPU (4 vCPUs, 16 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.
    - For the G.2X worker type, each worker maps to 2 DPU (8 vCPUs, 32 GB of memory) with 128GB disk (approximately 77GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.
    - For the G.4X worker type, each worker maps to 4 DPU (16 vCPUs, 64 GB of memory) with 256GB disk (approximately 235GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs in the following Amazon Web Services Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm).
    - For the G.8X worker type, each worker maps to 8 DPU (32 vCPUs, 128 GB of memory) with 512GB disk (approximately 487GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs, in the same Amazon Web Services Regions as supported for the G.4X worker type.
    - For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPUs, 64 GB of memory) with 128 GB disk (approximately 120GB free), and provides up to 8 Ray workers based on the autoscaler.
    Parameters:
    workerType - The type of predefined worker that is allocated when a job runs. Accepts a value of G.1X, G.2X, G.4X, or G.8X for Spark jobs. Accepts the value Z.2X for Ray notebooks.
    
    For the G.1X worker type, each worker maps to 1 DPU (4 vCPUs, 16 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.
    
    For the G.2X worker type, each worker maps to 2 DPU (8 vCPUs, 32 GB of memory) with 128GB disk (approximately 77GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.
    
    For the G.4X worker type, each worker maps to 4 DPU (16 vCPUs, 64 GB of memory) with 256GB disk (approximately 235GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs in the following Amazon Web Services Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm).
    
    For the G.8X worker type, each worker maps to 8 DPU (32 vCPUs, 128 GB of memory) with 512GB disk (approximately 487GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs, in the same Amazon Web Services Regions as supported for the G.4X worker type.
    
    For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPUs, 64 GB of memory) with 128 GB disk (approximately 120GB free), and provides up to 8 Ray workers based on the autoscaler.
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    WorkerType
  - setSecurityConfiguration
```
public void setSecurityConfiguration(String securityConfiguration)
```
    The name of the SecurityConfiguration structure to be used with the session
    
    Parameters:
    
    securityConfiguration - The name of the SecurityConfiguration structure to be used with the session
  - getSecurityConfiguration
```
public String getSecurityConfiguration()
```
    The name of the SecurityConfiguration structure to be used with the session
    
    Returns:
    
    The name of the SecurityConfiguration structure to be used with the session
  - withSecurityConfiguration
```
public CreateSessionRequest withSecurityConfiguration(String securityConfiguration)
```
    The name of the SecurityConfiguration structure to be used with the session
    
    Parameters:
    
    securityConfiguration - The name of the SecurityConfiguration structure to be used with the session
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setGlueVersion
```
public void setGlueVersion(String glueVersion)
```
    The Glue version determines the versions of Apache Spark and Python that Glue supports. The GlueVersion must be greater than 2.0.
    
    Parameters:
    
    glueVersion - The Glue version determines the versions of Apache Spark and Python that Glue supports. The GlueVersion must be greater than 2.0.
  - getGlueVersion
```
public String getGlueVersion()
```
    The Glue version determines the versions of Apache Spark and Python that Glue supports. The GlueVersion must be greater than 2.0.
    
    Returns:
    
    The Glue version determines the versions of Apache Spark and Python that Glue supports. The GlueVersion must be greater than 2.0.
  - withGlueVersion
```
public CreateSessionRequest withGlueVersion(String glueVersion)
```
    The Glue version determines the versions of Apache Spark and Python that Glue supports. The GlueVersion must be greater than 2.0.
    
    Parameters:
    
    glueVersion - The Glue version determines the versions of Apache Spark and Python that Glue supports. The GlueVersion must be greater than 2.0.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getTags
```
public Map<String,String> getTags()
```
    The map of key value pairs (tags) belonging to the session.
    
    Returns:
    
    The map of key value pairs (tags) belonging to the session.
  - setTags
```
public void setTags(Map<String,String> tags)
```
    The map of key value pairs (tags) belonging to the session.
    
    Parameters:
    
    tags - The map of key value pairs (tags) belonging to the session.
  - withTags
```
public CreateSessionRequest withTags(Map<String,String> tags)
```
    The map of key value pairs (tags) belonging to the session.
    
    Parameters:
    
    tags - The map of key value pairs (tags) belonging to the session.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - addTagsEntry
```
public CreateSessionRequest addTagsEntry(String key,
                                         String value)
```
    Add a single Tags entry
    
    See Also:
    
    withTags(java.util.Map<java.lang.String, java.lang.String>)
  - clearTagsEntries
```
public CreateSessionRequest clearTagsEntries()
```
    Removes all the entries added into Tags.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setRequestOrigin
```
public void setRequestOrigin(String requestOrigin)
```
    The origin of the request.
    
    Parameters:
    
    requestOrigin - The origin of the request.
  - getRequestOrigin
```
public String getRequestOrigin()
```
    The origin of the request.
    
    Returns:
    
    The origin of the request.
  - withRequestOrigin
```
public CreateSessionRequest withRequestOrigin(String requestOrigin)
```
    The origin of the request.
    
    Parameters:
    
    requestOrigin - The origin of the request.
    
    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 CreateSessionRequest clone()
```
    Description copied from class: AmazonWebServiceRequest
    
    Creates a shallow clone of this object for all fields except the handler context. Explicitly does not clone the deep structure of the other fields in the message.
    
    Overrides:
    
    clone in class AmazonWebServiceRequest
    
    See Also:
    
    Object.clone()

AWS SDK for Java 1.x API Reference - 1.12.778

Class CreateSessionRequest

Field Summary

Fields inherited from class com.amazonaws.AmazonWebServiceRequest

Constructor Summary

Method Summary

Methods inherited from class com.amazonaws.AmazonWebServiceRequest

Methods inherited from class java.lang.Object

Constructor Detail

CreateSessionRequest

Method Detail

setId

getId

withId

setDescription

getDescription

withDescription

setRole

getRole

withRole

setCommand

getCommand

withCommand

setTimeout

getTimeout

withTimeout

setIdleTimeout

getIdleTimeout

withIdleTimeout

getDefaultArguments

setDefaultArguments

withDefaultArguments

addDefaultArgumentsEntry

clearDefaultArgumentsEntries

setConnections

getConnections

withConnections

setMaxCapacity

getMaxCapacity

withMaxCapacity

setNumberOfWorkers

getNumberOfWorkers

withNumberOfWorkers

setWorkerType

getWorkerType

withWorkerType

withWorkerType

setSecurityConfiguration

getSecurityConfiguration

withSecurityConfiguration

setGlueVersion

getGlueVersion

withGlueVersion

getTags

setTags

withTags

addTagsEntry

clearTagsEntries

setRequestOrigin

getRequestOrigin

withRequestOrigin

toString

equals

hashCode

clone