tGSConfiguration

Provides the connection configuration to Google Cloud Storage for a Spark
Job.

tGSConfiguration properties for Apache Spark Batch

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

The Spark Batch
tGSConfiguration component belongs to the Storage family.

The component in this framework is available only if you have subscribed to one
of the
Talend
solutions with Big Data.

Basic settings

When you use this component with Google Dataproc:

Google Storage bucket	Enter the name of the bucket to be used by the whole Job. Then the File components such as tFileInputDelimited or tFileOutputDelimited use the directories in this bucket. For example, if you enter `my_bucket` in this field and enter `/user/ychen` in the Folder field of tFileInputDelimited, tFileInputDelimited reads data from gs://my_bucket/user/ychen.

Google Storage bucket

Enter the name of the bucket to be used by the whole
Job. Then the File components such as tFileInputDelimited or tFileOutputDelimited use the directories in this bucket.

For example, if you enter
my_bucket in this field and enter
/user/ychen in the
Folder field of
tFileInputDelimited,
tFileInputDelimited reads data from
gs://my_bucket/user/ychen.

When you use this component with other distributions:

Project identifier	Enter the ID of your Google Cloud Platform project. If you are not certain about your project ID, check it in the Manage Resources page of your Google Cloud Platform services.
Google Storage bucket	Enter the name of the bucket to be used by the whole Job. Then the File components such as tFileInputDelimited or tFileOutputDelimited use the directories in this bucket. For example, if you enter `my_bucket` in this field and enter `/user/ychen` in the Folder field of tFileInputDelimited, tFileInputDelimited reads data from gs://my_bucket/user/ychen.
Use P12 credentials file format	When the Google credentials file to be used is in P12 format, select this check box and then in the Service account Id field that is displayed, enter the ID of the service account for which this P12 credentials file has been created.
Path to Google Credentials file	Enter the path to the credentials file associated to the user account to be used. This file must be stored in the machine in which your Talend Job is actually launched and executed. If you use Talend Jobserver to run your Job, store the credentials file not only in the machine of the Jobserver, in which the Job is launched, but also in the worker machines of the Spark cluster, in which the Job is executed; if you do not use the Jobserver, store the credentials file in your local machine from which you launch the Job and in the worker machines of the Spark cluster.

Global Variables

Global Variables	ERROR_MESSAGE: the error message generated by the component when an error occurs. This is an After variable and it returns a string. This variable functions only if the Die on error check box is cleared, if the component has this check box. A Flow variable functions during the execution of a component while an After variable functions after the execution of the component. To fill up a field or expression with a variable, press Ctrl + Space to access the variable list and choose the variable to use from it. For further information about variables, see Talend Studio User Guide.

ERROR_MESSAGE: the error message generated by the
component when an error occurs. This is an After variable and it returns a string. This
variable functions only if the Die on error check box is
cleared, if the component has this check box.

A Flow variable functions during the execution of a component while an After variable
functions after the execution of the component.

To fill up a field or expression with a variable, press Ctrl +
Space to access the variable list and choose the variable to use from it.

For further information about variables, see
Talend Studio

User Guide.

Usage

Usage rule	This component is used standalone in a Subjob to provide connection configuration to Google Storage for the whole 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.

Usage rule

This component is used standalone in a Subjob to provide connection configuration to Google Storage for the whole 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.