Release Notes (10.4.1.3)

Release Notes (10.4.1.3)

Data Engineering Integration Fixed Issues (10.4.1.3)

Data Engineering Integration Fixed Issues (10.4.1.3)

The following table describes fixed issues:
Issue
Description
BDM-36452
When the Spark engine runs a mapping, the mapping fails with an error like:
SEVERE: Data integration service failed to create DTM instance because of the following error: java.lang.UnsupportedOperationException: PARAM_READ ...
BDM-35582
When the Spark engine runs a mapping on an EMR 6.0 cluster using a Rank transformation that accesses flat file sources and targets, the mapping fails.
BDM-35519
The Spark engine writes an incorrect date to a Hive target on Amazon EMR 6.0 when the mapping source is a flat file Hive source.
BDM-36351
When you run an EDC Resource that profiles a high number of objects (400 or more), some of the DTM processes (pmdtmsvc2) hang permanently.
BDM-36561
When the Spark execution stops unexpectedly, a Null Pointer Exception error occurs and data is not collected for subsequent mapping runs.
OCON-26500
When the Spark engine runs a Sqoop mapping on the Amazon EMR 6.0 cluster to write data that contains the date or time data types to Netezza, Greenplum, or Microsoft SQL Server, the mapping fails.


Updated February 02, 2021