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Comment: Published by Scroll Versions from space DEV and version r092

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D s support statement

Release 9.2

Release Release End of Support date:  https://www.trifacta.com/supportpolicy/

ItemStatusDescription
Hortonworks Data Platform (HDP)Deprecated

Integration with Hortonworks Data Platform (HDP) clusters has been deprecated.

Info

NOTE: As part of the above deprecation, the following Hortonworks-only integrations are no longer available for the 

D s platform
:

  • Hive Warehouse Connector
  • High Availability for Hive
  • Zookeeper Quorum

The following Cloudera platforms and versions are still supported for Release 9.2:

  • CDH 6.2, CDH 6.3
  • CDP 7.1

For more information, see Product Support Matrix.

High Availability on AWS using EKSDeprecated

The method for deploying the

D s platform
in a highly available environment on AWS using EKS (Kubernetes) clusters has been deprecated.

The existing method of deploying using failover nodes is still supported for AWS. For more information, see Install for High Availability.

Custom Dictionary typesDeprecated

The ability to add custom data types using a dictionary file has been deprecated. Replacement options:

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ItemStatusDescription
CDH 5.13deprecatedPlease upgrade to CDH 6.0.
CDH 5.12deprecatedPlease upgrade to CDH 6.0.

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Release 5.1

Release End of Support date:  https://www.trifacta.com/supportpolicy/

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ItemStatusDescription
CDH 5.10deprecatedPlease upgrade to CDH 5.13.

 


Release 4.2

Release End of Support date:  https://www.trifacta.com/supportpolicy/

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ItemStatusDescription
CDH 5.9deprecated

Please upgrade to CDH 5.12.

Single-file CLI publishing optiondeprecatedSupport for publishing to a single file as part of a CLI run_job action has been deprecated. Please use the external file method of specifying publishing targets.

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Release 4.1

Release End of Support date:  https://www.trifacta.com/supportpolicy/

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ItemStatusDescription
MapRdeprecated

Support for integration with MapR Hadoop clusters has been deprecated.

Please install a supported version of Cloudera or Hortonworks.

Hadoop Pig running environmentdeprecated

This running environment has been superseded by the Scala-based running environment, which utilizes Spark's in-memory features for faster processing. The Scala Spark version is the default running environment for Hadoop environments. See Running Environment Options.

Python UDFdeprecatedPython UDFs are only supported with Hadoop Pig running environment.
Javascript running environment and profilerend of life

The original Javascript running environment and profiling engine have been superseded by the Photon running environment, which was introduced in Release 3.2.

The Photon running environment is enabled by default for front-end processing. See Running Environment Options.

Hadoop Pig profilerend of lifeThis profiling engine has been superseded by the Scala-based Spark profiler, which utilizes Spark's in-memory features for faster processing. The Scala version of Spark Profiler is the default profiling engine for Hadoop environments. See Profiling Options.
Python-based Spark profilerend of life

In Release 2.7, a Python-based Spark profiler was released. This version of the Spark profiler required that Spark had to be installed on each node of the cluster, reducing efficiency.

This profiling engine has been superseded by the Scala-based Spark profiler, which utilizes Spark's in-memory features for faster processing. The Scala version of Spark Profiler is the default profiling engine for Hadoop environments. See Profiling Options.

/docs URLdeprecated

This URL from the platform points to an in-app page of documentation. All content in this location has been replaced and superseded by product documentation content. 


HDP 2.3.2deprecatedPlease upgrade to HDP 2.4 or 2.5.

 


Release 3.2.1

Release End of Support date:  https://www.trifacta.com/supportpolicy/

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Info

NOTE: These features may be deprecated in the future in favor of their replacements.

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  • New if function is designed to replace the ternary construct.
  • New Spark Profiler on Scala is the default Spark profiler. 
    • The old version, which required Spark, is still available for specific scenarios; we recommend using the new Spark Profiler on Scala.
    • For more information, see Overview of Visual Profiling

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