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  1. Abstract
  2. 10.2.2 HotFix 1 Installation and Upgrade
  3. 10.2.2 HotFix 1 Fixed Limitations
  4. 10.2.2 HotFix 1 Known Limitations
  5. 10.2.2 Service Pack 1 Fixed Limitations
  6. 10.2.2 Service Pack 1 Known Limitations
  7. 10.2.2 Fixed Limitations and Closed Enhancements
  8. 10.2.2 Known Limitations
  9. Emergency Bug Fixes Merged into 10.2.2 HotFix 1
  10. Informatica Global Customer Support

Big Data Release Notes

Big Data Release Notes

Third-Party Known Limitations (10.2.2 HotFix 1)

Third-Party Known Limitations (10.2.2 HotFix 1)

The following table describes third-party known limitations:
Bug
Description
BDM-25924
Mappings that run on Hortonworks HDP 3.1 cluster might fail when the following conditions are true:
  • The mapping reads from custom data object with LLAP enabled.
  • The mapping runs on the Blaze engine.
You might see an error like:
"Data partitioning is not supported for the mapping due to [Index: 0, Size: 0]
Read the Data Integration Service logs for more information about the failure.
Cloudera ticket reference number: 00228458
BDM-25513
When you have a mapping with a Hive ACID source and target tables that runs on the Spark engine, the Summary Statistics view does not reflect any throughput statistics for the mapping job.
Cloudera ticket reference number: 00225986
BDM-25490
BDM-25491
When a mapping that runs on a Hortonworks HDP 3.1 cluster uses an Update Strategy transformation, and you enabled the Hive Warehouse Connector, the mapping writes incorrect data to rows marked with DD_INSERT.
Cloudera ticket reference number: 00228458
BDM-23068
Due to a MapR performance issue, mappings that run on a non-Kerberos MapR cluster might hang with a message like "HDFS encryption zones are different."
IIS-3381
On a Hortonworks HDP 3.1 cluster, Spark engine incorrectly converts string data type to binary data type.
Hortonworks ticket reference number: 270

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