Deprecated Functionality
Deprecated functionality is functionality that is marked for removal in a future release. A stage or feature can be deprecated because it is not commonly used, has been replaced, is no longer maintained, or connects to a system with an end-of-service date.
The following tables list the deprecated features, support, and functionality:
| Deprecated Feature | Details / Alternatives |
|---|---|
| Advanced Error Handling pipeline property | After removal, the JDBC Table origin will no longer include the SQL query and results in the Transformer log. |
| Deprecated Support | Details / Alternatives |
|---|---|
| Spark 2.x | Since Spark 2.x has been supported by Transformer prebuilt with
Scala 2.11, which requires Java JDK 8, Transformer prebuilt with
Scala 2.11 and support for Java JDK 8 are also deprecated.
Maintenance releases for Transformer prebuilt with Scala 2.11 will cease in a future release. If feasible, upgrade to Spark 3.x and Transformer prebuilt with Scala 2.12, which requires Java JDK 11. Support for Spark 4.x through Transformer prebuilt with Scala 2.13 is planned for a future release. For more information about Scala and Spark support, see Scala, Spark, and Java JDK Requirements. |
| Deprecated Cluster | Details / Alternatives |
|---|---|
Cloudera:
|
Cloudera has specified an end-of-life timeline for
Cloudera Enterprise and Hortonworks Data Platform products. As a
result, Transformer is no longer tested with these versions. Upgrade to a supported version of CDP Private Cloud Base or Cloudera Data Engineering. |
| Databricks 5.x - 8.x |
Databricks has specified end-of-life and end-of-support dates for many versions. As a result, Transformer is no longer tested with these versions. Upgrade to a supported version of Databricks. |
Microsoft:
|
Microsoft has specified an end-of-life date for Azure HDInsight 4.0 and a retirement date for SQL Server Big Data Clusters. As a result, Transformer is no longer tested with these products. |