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New features

Shared features

Feature Description
Support for more components for Job lineage in Qlik Cloud Talend Studio can now generate datasets and lineage to Qlik Cloud for the following components:
  • tSnowflakeOutputBulk
  • tSnowflakeOutputBulkExec
  • tSnowflakeBulkExec
  • tBigQueryInput
  • tBigQueryOutput
Update of the Data Mapper tile in the new Talend Studio landing page The Data Mapper tile from the Talend Studio landing page is updated to Create a new hierarchical mapper. When clicking the tile, you now have the possibility to create:
  • Database
  • Map
  • Namespace
  • Structure

Application integration

Feature Description
Support for browsing REST API contract details in the Repository You can now expand REST API definition entries in the Repository tree view to browse the full structure of your API contracts without leaving Talend Studio. The expanded contract node shows:
  • Paths (API endpoints)
  • Operations (GET, POST, PUT, DELETE, HEAD, OPTIONS)
  • Operation responses
  • Data types
Icons now align with the Talend Cloud API Designer visual style. API definitions imported from a local file are identified by a file decoration icon.

Big Data

Feature Description
Support for CDP Private Cloud Base 7.3.2 with Spark 3.5.x You can now run your Spark Jobs on a CDP Private Cloud Base 7.3.2 cluster using Spark Universal with Spark 3.x in Cloudera Private Cloud mode. You can configure it either in the Spark Configuration view of your Spark Jobs or in the Hadoop Cluster Connection metadata wizard.

When using Kudu with CDP Private Cloud Base 7.3.2, select Kudu version 1.17.

Spark Configuration view of a Spark Batch Job.
Support for Databricks 17.3 LTS with Spark Universal 4.x in Spark Batch Jobs You can now run your Spark Batch Jobs on job and all-purpose Databricks clusters on AWS and Azure using Spark Universal with Spark 4.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 17.3 LTS version.

Databricks 17.3 LTS with Spark Universal 4.x in Spark Configuration.

Continuous Integration

Feature Description

Upgrade of Talend CI Builder to version 8.0.32

Talend CI Builder is upgraded to version 8.0.32.

Use Talend CI Builder 8.0.32 in your CI commands or pipeline scripts from this monthly version onwards until a new version of Talend CI Builder is released.

Data Integration

Feature Description
Support for transactional mode for tKafkaOutput in Standard Jobs The tKafkaOutput component now supports transactional mode to use Kafka transactions for exactly-once delivery, rollback on failure, and grouped message commits.
Support for directory upload mode for tQlikOutput in Standard Jobs The tQlikOutput component now supports a Directory Upload mode to upload all valid files from a selected local directory to Qlik Cloud. Files in subdirectories are ignored.

Data Mapper

Feature Description
Support for @emit annotation in the DSQL map editor The @emit annotation is now available in DSQL maps. This annotation controls whether an output field is produced based on a specified condition. It is placed before an assignment statement and requires the condition parameter. If the condition evaluates to true, the output field is produced; if false, the field is omitted from the output.

In this example, the rating field is included in the output only when it has a value:

FROM customer
SELECT {
  name = name,
  @emit ( condition = hasValue(rating) )
  rating = rating
}
Support for getMapProperty function in DSQL maps The getMapProperty function is now available in DSQL maps. This function is useful in Routes including the cMap component, to access exchange inbound headers, and in Job including tHMap to access context variables that are automatically set as execution properties.
Support for Dataset library in tHMapFile The tHMapFile component now supports the Dataset library, allowing better optimization and performance.
Support for Spark 4 in tHMapFile You can now use the tHMapFile component with Spark 4.

Data Quality

Feature Description
Support for Databricks 17.3 LTS with Spark Universal 4.x in Spark Batch Jobs You can now run Spark Batch Jobs using Data Quality components on job and all-purpose Databricks clusters on AWS and Azure using Spark Universal with Spark 4.x. For more information, see the Big Data section.

Support for JSON schema in tSchemaComplianceCheck

The Standard tSchemaComplianceCheck component now supports validating data against a JSON schema.

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