Test Data Management 10.4.1
- Test Data Management 10.4.1
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You cannot fetch aggregate logs for applications that run on a Cloudera CDP Public Cloud cluster.
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.
When the Blaze engine runs a mapping with a Parquet target containing the Date data type on a Hortonworks cluster version earlier than 3.1.5, the mapping writes incorrect TIMESTAMP data to the target.
Workaround: Edit the Data Integration Service advanced properties to add the following property-value pair:
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.
When the Blaze engine runs a mapping on Cloudera CDP Public Cloud clusters on AWS, the mapping might fail with the following error:
The mapping fails if either of the following conditions is true: