public static interface CreateSessionRequest.Builder extends GlueRequest.Builder, SdkPojo, CopyableBuilder<CreateSessionRequest.Builder,CreateSessionRequest>
| Modifier and Type | Method and Description |
|---|---|
default CreateSessionRequest.Builder |
command(Consumer<SessionCommand.Builder> command)
The
SessionCommand that runs the job. |
CreateSessionRequest.Builder |
command(SessionCommand command)
The
SessionCommand that runs the job. |
CreateSessionRequest.Builder |
connections(ConnectionsList connections)
The number of connections to use for the session.
|
default CreateSessionRequest.Builder |
connections(Consumer<ConnectionsList.Builder> connections)
The number of connections to use for the session.
|
CreateSessionRequest.Builder |
defaultArguments(Map<String,String> defaultArguments)
A map array of key-value pairs.
|
CreateSessionRequest.Builder |
description(String description)
The description of the session.
|
CreateSessionRequest.Builder |
glueVersion(String glueVersion)
The Glue version determines the versions of Apache Spark and Python that Glue supports.
|
CreateSessionRequest.Builder |
id(String id)
The ID of the session request.
|
CreateSessionRequest.Builder |
idleTimeout(Integer idleTimeout)
The number of minutes when idle before session times out.
|
CreateSessionRequest.Builder |
maxCapacity(Double maxCapacity)
The number of Glue data processing units (DPUs) that can be allocated when the job runs.
|
CreateSessionRequest.Builder |
numberOfWorkers(Integer numberOfWorkers)
The number of workers of a defined
WorkerType to use for the session. |
CreateSessionRequest.Builder |
overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration) |
CreateSessionRequest.Builder |
overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer) |
CreateSessionRequest.Builder |
requestOrigin(String requestOrigin)
The origin of the request.
|
CreateSessionRequest.Builder |
role(String role)
The IAM Role ARN
|
CreateSessionRequest.Builder |
securityConfiguration(String securityConfiguration)
The name of the SecurityConfiguration structure to be used with the session
|
CreateSessionRequest.Builder |
tags(Map<String,String> tags)
The map of key value pairs (tags) belonging to the session.
|
CreateSessionRequest.Builder |
timeout(Integer timeout)
The number of minutes before session times out.
|
CreateSessionRequest.Builder |
workerType(String workerType)
The type of predefined worker that is allocated when a job runs.
|
CreateSessionRequest.Builder |
workerType(WorkerType workerType)
The type of predefined worker that is allocated when a job runs.
|
buildoverrideConfigurationequalsBySdkFields, sdkFieldscopyapplyMutation, buildCreateSessionRequest.Builder id(String id)
The ID of the session request.
id - The ID of the session request.CreateSessionRequest.Builder description(String description)
The description of the session.
description - The description of the session.CreateSessionRequest.Builder role(String role)
The IAM Role ARN
role - The IAM Role ARNCreateSessionRequest.Builder command(SessionCommand command)
The SessionCommand that runs the job.
command - The SessionCommand that runs the job.default CreateSessionRequest.Builder command(Consumer<SessionCommand.Builder> command)
The SessionCommand that runs the job.
SessionCommand.Builder avoiding the need
to create one manually via SessionCommand.builder().
When the Consumer completes, SdkBuilder.build() is called immediately and its
result is passed to command(SessionCommand).
command - a consumer that will call methods on SessionCommand.Buildercommand(SessionCommand)CreateSessionRequest.Builder timeout(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.
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.CreateSessionRequest.Builder idleTimeout(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.
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.CreateSessionRequest.Builder defaultArguments(Map<String,String> defaultArguments)
A map array of key-value pairs. Max is 75 pairs.
defaultArguments - A map array of key-value pairs. Max is 75 pairs.CreateSessionRequest.Builder connections(ConnectionsList connections)
The number of connections to use for the session.
connections - The number of connections to use for the session.default CreateSessionRequest.Builder connections(Consumer<ConnectionsList.Builder> connections)
The number of connections to use for the session.
This is a convenience method that creates an instance of theConnectionsList.Builder avoiding the
need to create one manually via ConnectionsList.builder().
When the Consumer completes, SdkBuilder.build() is called immediately and its
result is passed to connections(ConnectionsList).
connections - a consumer that will call methods on ConnectionsList.Builderconnections(ConnectionsList)CreateSessionRequest.Builder maxCapacity(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.
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.CreateSessionRequest.Builder numberOfWorkers(Integer numberOfWorkers)
The number of workers of a defined WorkerType to use for the session.
numberOfWorkers - The number of workers of a defined WorkerType to use for the session.CreateSessionRequest.Builder workerType(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.
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.
WorkerType,
WorkerTypeCreateSessionRequest.Builder workerType(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.
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.
WorkerType,
WorkerTypeCreateSessionRequest.Builder securityConfiguration(String securityConfiguration)
The name of the SecurityConfiguration structure to be used with the session
securityConfiguration - The name of the SecurityConfiguration structure to be used with the sessionCreateSessionRequest.Builder glueVersion(String glueVersion)
The Glue version determines the versions of Apache Spark and Python that Glue supports. The GlueVersion must be greater than 2.0.
glueVersion - The Glue version determines the versions of Apache Spark and Python that Glue supports. The
GlueVersion must be greater than 2.0.CreateSessionRequest.Builder tags(Map<String,String> tags)
The map of key value pairs (tags) belonging to the session.
tags - The map of key value pairs (tags) belonging to the session.CreateSessionRequest.Builder requestOrigin(String requestOrigin)
The origin of the request.
requestOrigin - The origin of the request.CreateSessionRequest.Builder overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration)
overrideConfiguration in interface AwsRequest.BuilderCreateSessionRequest.Builder overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer)
overrideConfiguration in interface AwsRequest.BuilderCopyright © 2023. All rights reserved.