tSetKeystore properties for Apache Spark Streaming - 7.0

Keystore

author
Talend Documentation Team
EnrichVersion
7.0
EnrichProdName
Talend Big Data
Talend Big Data Platform
Talend Data Fabric
Talend Data Integration
Talend Data Management Platform
Talend Data Services Platform
Talend ESB
Talend MDM Platform
Talend Open Studio for Big Data
Talend Open Studio for Data Integration
Talend Open Studio for ESB
Talend Open Studio for MDM
Talend Real-Time Big Data Platform
task
Data Governance > Third-party systems > Authentication components > Keystore components
Data Quality and Preparation > Third-party systems > Authentication components > Keystore components
Design and Development > Third-party systems > Authentication components > Keystore components
EnrichPlatform
Talend Studio

These properties are used to configure tSetKeystore running in the Spark Streaming Job framework.

The Spark Streaming tSetKeystore component belongs to the Authentication family.

The streaming version of this component is available in Talend Real Time Big Data Platform and in Talend Data Fabric.

Basic settings

TrustStore type

Select the type of the TrustStore to be used. It may be PKCS 12 or JKS.

TrustStore file

Type in the path, or browse to the certificate TrustStore file (including filename) that contains the list of certificates that the client trusts.

TrustStore password

Type in the password used to check the integrity of the TrustStore data.

Need Client authentication

Select this check box to validate the keystore data. Once doing so, you need complete three fields:

- KeyStore type: select the type of the keystore to be used. It may be PKCS 12 or JKS.

- KeyStore file: type in the path, or browse to the file (including filename) containing the keystore data.

- KeyStore password: type in the password for this keystore.

Check server identity

Select this check box to make the Job verify the match between the hostname of the URL and the hostname of the server. If they mismatch, the verification mechanism asks whether this connection should be allowed.

Usage

Usage rule

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

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

Note that in this documentation, unless otherwise explicitly stated, a scenario presents only Standard Jobs, that is to say traditional Talend data integration Jobs.

Spark Connection

In the Spark Configuration tab in the Run view, 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 (Yarn client or Yarn cluster):
    • When using Google Dataproc, specify a bucket in the Google Storage staging bucket field in the Spark configuration tab.

    • When using HDInsight, specify the blob to be used for Job deployment in the Windows Azure Storage configuration area in the Spark configuration tab.

    • When using Altus, specify the S3 bucket or the Azure Data Lake store (technical preview) for Job deployment in the Spark configuration tab.
    • When using other distributions, use the configuration component corresponding to the file system your cluster is using. Typically, this system is HDFS and so use tHDFSConfiguration.

  • Standalone mode: use the configuration component corresponding to the file system your cluster is using, such as tHDFSConfiguration or tS3Configuration.

This connection is effective on a per-Job basis.