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Big Data

Feature

Description

Available in
Support for Amazon EMR 6.6.0 and 6.7.0 with Spark Universal 3.2.x

You can now run your Spark Jobs on an Amazon EMR cluster using Spark Universal with Spark 3.2.x in Yarn cluster mode. You can configure it either in the Spark Configuration view of your Spark Jobs or in the Hadoop Cluster Connection metadata wizard.

When you select this mode, Talend Studio is compatible with Amazon EMR 6.6.0 and 6.7.0 versions.

All subscription-based Talend products with Big Data

Support for Databricks runtime 11.x with Spark Universal 3.3.x

 You can now run your Spark Batch and Streaming Jobs on job and all-purpose Databricks clusters on Google Cloud Platform (GCP), AWS, and Azure using Spark Universal with Spark 3.3.x. You can configure it either in the Spark Configuration view of your Spark Jobs or in the Hadoop Cluster Connection metadata wizard.

When you select this mode, Talend Studio is compatible with Databricks 11.x version.

With the general availability of this feature, the following previous known issues are now fixed:
  • tGSConfiguration works in Spark Streaming Jobs
  • tS3Configuration works as a storage component for tAvroInput when using AWS
  • tAzureFSConfiguration works as a storage component for tAvroInput when using Azure
  • tFileInputDelimited, tFileInputJSON, tFileInputParquet, tFileInputPositional, tFileInputRegex, and tFileInputXML do not work with tGSConfiguration when using GCP

All subscription-based Talend products with Big Data

Support for BigDecimal in tRedshiftOutput

 You can now use BigDecimal value in the schema of the tRedshiftOutput component in your Spark Batch Jobs.

All subscription-based Talend products with Big Data

Support for tGSConfiguration with Spark Universal

 You can now use the tGSConfiguration component to provide access to Google Storage with other input and output components. This feature applies to both Spark Batch and Spark Streaming Jobs.

All subscription-based Talend products with Big Data

Support for schema registry

 You can now use schema registry in Spark Streaming Jobs with the following components:
  • tKafkaConfiguration
  • tKafkaInputAvro

Schema registry allows Talend Studio to register information about Avro records.

All subscription-based Talend products with Big Data

Support for S3 Select

 You can now use S3 Select with tFileInputDelimited and tFileInputJSON when using tS3Configuration as a storage component in your Spark Jobs running with Spark Universal in either YARN cluster (with an Amazon EMR cluster) or Databricks modes. S3 Select allows you to reduce the amount of data retrieved from S3 using Spark SQL queries.

When you run your Spark Jobs on Databricks, the S3 bucket must be in the same region as the cluster, otherwise you will get an S3 exception on the cluster side.

All subscription-based Talend products with Big Data

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