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DevEndpoint - AWS Glue
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DevEndpoint

A development endpoint where a developer can remotely debug extract, transform, and load (ETL) scripts.

Contents

Arguments

A map of arguments used to configure the DevEndpoint.

Valid arguments are:

  • "--enable-glue-datacatalog": ""

You can specify a version of Python support for development endpoints by using the Arguments parameter in the CreateDevEndpoint or UpdateDevEndpoint APIs. If no arguments are provided, the version defaults to Python 2.

Type: String to string map

Map Entries: Minimum number of 0 items. Maximum number of 100 items.

Required: No

AvailabilityZone

The AWS Availability Zone where this DevEndpoint is located.

Type: String

Required: No

CreatedTimestamp

The point in time at which this DevEndpoint was created.

Type: Timestamp

Required: No

EndpointName

The name of the DevEndpoint.

Type: String

Required: No

ExtraJarsS3Path

The path to one or more Java .jar files in an S3 bucket that should be loaded in your DevEndpoint.

Note

You can only use pure Java/Scala libraries with a DevEndpoint.

Type: String

Required: No

ExtraPythonLibsS3Path

The paths to one or more Python libraries in an Amazon S3 bucket that should be loaded in your DevEndpoint. Multiple values must be complete paths separated by a comma.

Note

You can only use pure Python libraries with a DevEndpoint. Libraries that rely on C extensions, such as the pandas Python data analysis library, are not currently supported.

Type: String

Required: No

FailureReason

The reason for a current failure in this DevEndpoint.

Type: String

Required: No

GlueVersion

Glue version determines the versions of Apache Spark and Python that AWS Glue supports. The Python version indicates the version supported for running your ETL scripts on development endpoints.

For more information about the available AWS Glue versions and corresponding Spark and Python versions, see Glue version in the developer guide.

Development endpoints that are created without specifying a Glue version default to Glue 0.9.

You can specify a version of Python support for development endpoints by using the Arguments parameter in the CreateDevEndpoint or UpdateDevEndpoint APIs. If no arguments are provided, the version defaults to Python 2.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 255.

Pattern: ^(\w+\.)+\w+$

Required: No

LastModifiedTimestamp

The point in time at which this DevEndpoint was last modified.

Type: Timestamp

Required: No

LastUpdateStatus

The status of the last update.

Type: String

Required: No

NumberOfNodes

The number of AWS Glue Data Processing Units (DPUs) allocated to this DevEndpoint.

Type: Integer

Required: No

NumberOfWorkers

The number of workers of a defined workerType that are allocated to the development endpoint.

The maximum number of workers you can define are 299 for G.1X, and 149 for G.2X.

Type: Integer

Required: No

PrivateAddress

A private IP address to access the DevEndpoint within a VPC if the DevEndpoint is created within one. The PrivateAddress field is present only when you create the DevEndpoint within your VPC.

Type: String

Required: No

PublicAddress

The public IP address used by this DevEndpoint. The PublicAddress field is present only when you create a non-virtual private cloud (VPC) DevEndpoint.

Type: String

Required: No

PublicKey

The public key to be used by this DevEndpoint for authentication. This attribute is provided for backward compatibility because the recommended attribute to use is public keys.

Type: String

Required: No

PublicKeys

A list of public keys to be used by the DevEndpoints for authentication. Using this attribute is preferred over a single public key because the public keys allow you to have a different private key per client.

Note

If you previously created an endpoint with a public key, you must remove that key to be able to set a list of public keys. Call the UpdateDevEndpoint API operation with the public key content in the deletePublicKeys attribute, and the list of new keys in the addPublicKeys attribute.

Type: Array of strings

Array Members: Maximum number of 5 items.

Required: No

RoleArn

The Amazon Resource Name (ARN) of the IAM role used in this DevEndpoint.

Type: String

Pattern: arn:aws:iam::\d{12}:role/.*

Required: No

SecurityConfiguration

The name of the SecurityConfiguration structure to be used with this DevEndpoint.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 255.

Pattern: [\u0020-\uD7FF\uE000-\uFFFD\uD800\uDC00-\uDBFF\uDFFF\t]*

Required: No

SecurityGroupIds

A list of security group identifiers used in this DevEndpoint.

Type: Array of strings

Required: No

Status

The current status of this DevEndpoint.

Type: String

Required: No

SubnetId

The subnet ID for this DevEndpoint.

Type: String

Required: No

VpcId

The ID of the virtual private cloud (VPC) used by this DevEndpoint.

Type: String

Required: No

WorkerType

The type of predefined worker that is allocated to the development endpoint. 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.

Known issue: when a development endpoint is created with the G.2X WorkerType configuration, the Spark drivers for the development endpoint will run on 4 vCPU, 16 GB of memory, and a 64 GB disk.

Type: String

Valid Values: Standard | G.1X | G.2X | G.025X | G.4X | G.8X | Z.2X

Required: No

YarnEndpointAddress

The YARN endpoint address used by this DevEndpoint.

Type: String

Required: No

ZeppelinRemoteSparkInterpreterPort

The Apache Zeppelin port for the remote Apache Spark interpreter.

Type: Integer

Required: No

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following:

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