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Create Session

glue_create_session R Documentation

Creates a new session

Description

Creates a new session.

Usage

glue_create_session(Id, Description, Role, Command, Timeout,
  IdleTimeout, DefaultArguments, Connections, MaxCapacity,
  NumberOfWorkers, WorkerType, SecurityConfiguration, GlueVersion, Tags,
  RequestOrigin)

Arguments

Id

[required] The ID of the session request.

Description

The description of the session.

Role

[required] The IAM Role ARN

Command

[required] The SessionCommand that runs the job.

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.

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.

DefaultArguments

A map array of key-value pairs. Max is 75 pairs.

Connections

The number of connections to use for the session.

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.

NumberOfWorkers

The number of workers of a defined WorkerType to use for the session.

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.

SecurityConfiguration

The name of the SecurityConfiguration structure to be used with the session

GlueVersion

The Glue version determines the versions of Apache Spark and Python that Glue supports. The GlueVersion must be greater than 2.0.

Tags

The map of key value pairs (tags) belonging to the session.

RequestOrigin

The origin of the request.

Value

A list with the following syntax: 

list(
  Session = list(
    Id = "string",
    CreatedOn = as.POSIXct(
      "2015-01-01"
    ),
    Status = "PROVISIONING"|"READY"|"FAILED"|"TIMEOUT"|"STOPPING"|"STOPPED",
    ErrorMessage = "string",
    Description = "string",
    Role = "string",
    Command = list(
      Name = "string",
      PythonVersion = "string"
    ),
    DefaultArguments = list(
      "string"
    ),
    Connections = list(
      Connections = list(
        "string"
      )
    ),
    Progress = 123.0,
    MaxCapacity = 123.0,
    SecurityConfiguration = "string",
    GlueVersion = "string",
    NumberOfWorkers = 123,
    WorkerType = "Standard"|"G.1X"|"G.2X"|"G.025X"|"G.4X"|"G.8X"|"Z.2X",
    CompletedOn = as.POSIXct(
      "2015-01-01"
    ),
    ExecutionTime = 123.0,
    DPUSeconds = 123.0,
    IdleTimeout = 123,
    ProfileName = "string"
  )
)

Request syntax

svc$create_session(
  Id = "string",
  Description = "string",
  Role = "string",
  Command = list(
    Name = "string",
    PythonVersion = "string"
  ),
  Timeout = 123,
  IdleTimeout = 123,
  DefaultArguments = list(
    "string"
  ),
  Connections = list(
    Connections = list(
      "string"
    )
  ),
  MaxCapacity = 123.0,
  NumberOfWorkers = 123,
  WorkerType = "Standard"|"G.1X"|"G.2X"|"G.025X"|"G.4X"|"G.8X"|"Z.2X",
  SecurityConfiguration = "string",
  GlueVersion = "string",
  Tags = list(
    "string"
  ),
  RequestOrigin = "string"
)