tS3Configuration properties for Apache Spark Batch

Amazon S3

author
Talend Documentation Team
EnrichVersion
6.5
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Talend Open Studio for MDM
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task
Data Quality and Preparation > Third-party systems > Amazon services (Integration) > Amazon S3 components
Design and Development > Third-party systems > Amazon services (Integration) > Amazon S3 components
Data Governance > Third-party systems > Amazon services (Integration) > Amazon S3 components
EnrichPlatform
Talend Studio

These properties are used to configure tS3Configuration running in the Spark Batch Job framework.

The Spark Batch tS3Configuration component belongs to the Storage family.

The component in this framework is available in all subscription-based Talend products with Big Data and Talend Data Fabric.

Basic settings

Access Key

Enter the access key ID that uniquely identifies an AWS Account. For further information about how to get your Access Key and Secret Key, see Getting Your AWS Access Keys.

Access Secret

Enter the secret access key, constituting the security credentials in combination with the access Key.

To enter the secret key, click the [...] button next to the secret key field, and then in the pop-up dialog box enter the password between double quotes and click OK to save the settings.

Bucket name

Enter the bucket name and its folder you need to use. You need to separate the bucket name and the folder name using a slash (/).

Temp folder

Enter the location of the temp folder in S3. This folder will be automatically created if it has not existed by the time of the execution.

Use s3a filesystem

Select this check box to use the S3A filesystem instead of S3N, the filesystem used by default by tS3Configuration.

This feature is available when you are using one of the following distributions with Spark:
  • Amazon EMR
    • V4.5

    • V.4.6

  • MapR
    • V5.0

    • V5.1

    • V5.2

  • Hortonworks Data Platform
    • V2.3

    • V2.4

Set region

Select this check box and select the region to connect to.

This feature is available when you are using one of the following distributions with Spark:
  • Amazon EMR
    • V4.5

    • V.4.6

  • MapR
    • V5.0

    • V5.1

    • V5.2

  • Hortonworks Data Platform
    • V2.3

    • V2.4

Set endpoint

Select this check box and in the Endpoint field that is displayed, enter the Amazon region endpoint you need to use. For a list of the available endpoints, see Regions and Endpoints.

If you leave this check box clear, the endpoint will be the default one defined by your Hadoop distribution, while this check box is not available when you have selected the Set region check box and in this situation the value selected from the Set region list is used.

This feature is available when you are using one of the following distributions with Spark:
  • Amazon EMR
    • V4.5

    • V.4.6

  • MapR
    • V5.0

    • V5.1

    • V5.2

  • Hortonworks Data Platform
    • V2.3

    • V2.4

Usage

Usage rule

This component is used with no need to be connected to other components.

You need to drop tS3Configuration along with the file system related Subjob to be run in the same Job so that the configuration is used by the whole Job at runtime.

This component, along with the Spark Batch component Palette it belongs to, appears only when you are creating a Spark Batch Job.

But only one tS3Configuration component is allowed per Job.

Spark Connection

You need to use the Spark Configuration tab in the Run view to define the connection to a given Spark cluster for the whole Job. In addition, since the Job expects its dependent jar files for execution, you must specify the directory in the file system to which these jar files are transferred so that Spark can access these files:
  • Yarn mode: when using Google Dataproc, specify a bucket in the Google Storage staging bucket field in the Spark configuration tab; when using other distributions, use a tHDFSConfiguration component to specify the directory.

  • Standalone mode: you need to choose the configuration component depending on the file system you are using, such as tHDFSConfiguration or tS3Configuration.

This connection is effective on a per-Job basis.

Limitation

Due to license incompatibility, one or more JARs required to use this component are not provided. You can install the missing JARs for this particular component by clicking the Install button on the Component tab view. You can also find out and add all missing JARs easily on the Modules tab in the Integration perspective of your studio. For details, see Installing external modules.