Glue.Paginator.
GetDevEndpoints
¶paginator = client.get_paginator('get_dev_endpoints')
paginate
(**kwargs)¶Creates an iterator that will paginate through responses from Glue.Client.get_dev_endpoints()
.
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken
will be provided in the output that you can use to resume pagination.
The size of each page.
A token to specify where to start paginating. This is the NextToken
from a previous response.
{
'DevEndpoints': [
{
'EndpointName': 'string',
'RoleArn': 'string',
'SecurityGroupIds': [
'string',
],
'SubnetId': 'string',
'YarnEndpointAddress': 'string',
'PrivateAddress': 'string',
'ZeppelinRemoteSparkInterpreterPort': 123,
'PublicAddress': 'string',
'Status': 'string',
'WorkerType': 'Standard'|'G.1X'|'G.2X'|'G.025X',
'GlueVersion': 'string',
'NumberOfWorkers': 123,
'NumberOfNodes': 123,
'AvailabilityZone': 'string',
'VpcId': 'string',
'ExtraPythonLibsS3Path': 'string',
'ExtraJarsS3Path': 'string',
'FailureReason': 'string',
'LastUpdateStatus': 'string',
'CreatedTimestamp': datetime(2015, 1, 1),
'LastModifiedTimestamp': datetime(2015, 1, 1),
'PublicKey': 'string',
'PublicKeys': [
'string',
],
'SecurityConfiguration': 'string',
'Arguments': {
'string': 'string'
}
},
],
}
Response Structure
A list of DevEndpoint
definitions.
A development endpoint where a developer can remotely debug extract, transform, and load (ETL) scripts.
The name of the DevEndpoint
.
The Amazon Resource Name (ARN) of the IAM role used in this DevEndpoint
.
A list of security group identifiers used in this DevEndpoint
.
The subnet ID for this DevEndpoint
.
The YARN endpoint address used by this DevEndpoint
.
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.
The Apache Zeppelin port for the remote Apache Spark interpreter.
The public IP address used by this DevEndpoint
. The PublicAddress
field is present only when you create a non-virtual private cloud (VPC) DevEndpoint
.
The current status of this DevEndpoint
.
The type of predefined worker that is allocated to the development endpoint. Accepts a value of Standard, G.1X, or G.2X.
Standard
worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.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.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.
Glue version determines the versions of Apache Spark and Python that Glue supports. The Python version indicates the version supported for running your ETL scripts on development endpoints.
For more information about the available 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.
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
.
The number of Glue Data Processing Units (DPUs) allocated to this DevEndpoint
.
The Amazon Web Services Availability Zone where this DevEndpoint
is located.
The ID of the virtual private cloud (VPC) used by this DevEndpoint
.
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.
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
.
The reason for a current failure in this DevEndpoint
.
The status of the last update.
The point in time at which this DevEndpoint was created.
The point in time at which this DevEndpoint
was last modified.
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.
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.
The name of the SecurityConfiguration
structure to be used with this DevEndpoint
.
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.