- Click Run to open its view and then click the Spark Configuration tab to display its view for configuring the Spark connection.
Select the Use local mode check box to test your Job locally.
In the local mode, the Studio builds the Spark environment in itself on the fly in order to run the Job in. Each processor of the local machine is used as a Spark worker to perform the computations.
In this mode, your local file system is used; therefore, deactivate the configuration components such as tS3Configuration or tHDFSConfiguration that provides connection information to a remote file system, if you have placed these components in your Job.
You can launch your Job without any further configuration.
Clear the Use local mode check box to display the
list of the available Hadoop distributions and from this list, select
the distribution corresponding to your Spark cluster to be used.
This distribution could be:
If you cannot find the distribution corresponding to yours from this drop-down list, this means the distribution you want to connect to is not officially supported by Talend . In this situation, you can select Custom, then select the Spark version of the cluster to be connected and click the [+] button to display the dialog box in which you can alternatively:
Select Import from existing version to import an officially supported distribution as base and then add other required jar files which the base distribution does not provide.
Select Import from zip to import the configuration zip for the custom distribution to be used. This zip file should contain the libraries of the different Hadoop/Spark elements and the index file of these libraries.
In Talend Exchange, members of Talend community have shared some ready-for-use configuration zip files which you can download from this Hadoop configuration list and directly use them in your connection accordingly. However, because of the ongoing evolution of the different Hadoop-related projects, you might not be able to find the configuration zip corresponding to your distribution from this list; then it is recommended to use the Import from existing version option to take an existing distribution as base to add the jars required by your distribution.
Note that custom versions are not officially supported by Talend . Talend and its community provide you with the opportunity to connect to custom versions from the Studio but cannot guarantee that the configuration of whichever version you choose will be easy. As such, you should only attempt to set up such a connection if you have sufficient Hadoop and Spark experience to handle any issues on your own.
For a step-by-step example about how to connect to a custom distribution and share this connection, see Connecting to a custom Hadoop distribution.