New features

Application integration

Feature	Description
New microservice configuration to override authentication activation and configuration	You can now use parameters in an additional properties file to override the authentication configuration for BASIC and JWT Bearer Token types in cREST and tRESTRequest components. This security configuration and the Prometheus endpoint activation in the properties file can be overwritten by using the relevant parameter in Commandline when running the Microservice. For more information, see Running a Microservice.
New Route component available for Azure Service Bus	The cAzureServiceBus component is now available in Routes allowing you to send messages to, or consume messages from Azure Service Bus.

Feature

Description

New microservice configuration to override authentication activation and configuration

You can now use parameters in an additional properties file to override the authentication configuration for BASIC and JWT Bearer Token types in cREST and tRESTRequest components.

This security configuration and the Prometheus endpoint activation in the properties file can be overwritten by using the relevant parameter in Commandline when running the Microservice.

For more information, see Running a Microservice.

New Route component available for Azure Service Bus

The cAzureServiceBus component is now available in Routes allowing you to send messages to, or consume messages from Azure Service Bus.

Big Data

Feature	Description
Support for Dataproc 2.2 with Spark Universal 3.x	You can now run your Spark Jobs on a Google Dataproc cluster using Spark Universal with Spark 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 Dataproc 2.1 and 2.2 versions.
Availability-noteBeta Support for CDP Private Cloud Base 7.3.1 with Spark Universal 3.x	You can now run your Spark Jobs on a CDP Private Cloud Base 7.3.1 cluster with JDK 17 using Spark Universal with Spark 3.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. With the beta version of this feature, Jobs with Iceberg and Kudu components do not work.
Enhancement of tS3Configuration to support multi-buckets with AWS Assume Role	You can now add a role to multiple buckets in your Job with Assume Role in tS3Configuration component.
Support for schema evolution in tIcebergTable in Spark Batch Jobs	New actions are now available in the Action on table property in tIcebergTable component: Add columns, Alter columns, Drop columns, Rename columns and Reorder columns.

Data Integration

Feature	Description
Support for OData API capabilities for SAP in Standard Jobs	New SAP components are now available to read and write data from an SAP OData web service: tSAPODataInput allows you to read data from an existing SAP OData web service and configure the request query parameters. tSAPODataOutput allows you to insert, update, or delete records from an existing SAP OData web service.

Feature

Description

Support for OData API capabilities for SAP in Standard Jobs

New SAP components are now available to read and write data from an SAP OData web service:

tSAPODataInput allows you to read data from an existing SAP OData web service and configure the request query parameters.
tSAPODataOutput allows you to insert, update, or delete records from an existing SAP OData web service.

Data Mapper

Feature	Description
DSQL map editor	The support for DSQL map editor is now generally available (GA). The DSQL map editor allows you to create a map based on Data Shaping Query Language. Like standard maps, you can create DSQL maps to map one or multiple input files to one or multiple output files, using all the representations supported by standard maps. For more information, see Differences between standard and DSQL maps.
New options to create a new parameterized expression	New options are now available in the DSQL map editor to create a new parameterized expression: In the DSQL Parameterized Expressions view, you can right-click the left panel and the New parameterized expression option appears. In the input and output structure, you can right-click an element, and the new DSQL Parameterized Expressions option appears.
New option to store the Test Run results on the file system in DSQL maps	A new option, Execute Test Run to File, is now available in Test Run view in the DSQL map editor and allows you to save the output results of your DSQL map in your file system.

Feature

Description

DSQL map editor

The support for DSQL map editor is now generally available (GA).

The DSQL map editor allows you to create a map based on Data Shaping Query Language.

Like standard maps, you can create DSQL maps to map one or multiple input files to one or multiple output files, using all the representations supported by standard maps. For more information, see Differences between standard and DSQL maps.

New options to create a new parameterized expression

New options are now available in the DSQL map editor to create a new parameterized expression:

In the DSQL Parameterized Expressions view, you can right-click the left panel and the New parameterized expression option appears.
In the input and output structure, you can right-click an element, and the new DSQL Parameterized Expressions option appears.

New option to store the Test Run results on the file system in DSQL maps

A new option, Execute Test Run to File, is now available in Test Run view in the DSQL map editor and allows you to save the output results of your DSQL map in your file system.

Execute Test Run to File option in the Test Run view.

Data Quality

Feature	Description
Validating data using validation rules from Qlik Talend Data Integration	The new tDQRules Standard component lets you connect Talend Studio to Qlik Talend Data Integration and use validation rules.

Application integration

Big Data

Data Integration

Data Mapper

Data Quality

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