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  1. Abstract
  2. Installation and Upgrade
  3. 10.1.1 HotFix 1 Fixed Limitations and Closed Enhancements
  4. 10.1.1 HotFix 1 Known Limitations
  5. 10.1.1 Update 2 Fixed Limitations and Closed Enhancements
  6. 10.1.1 Update 2 Known Limitations
  7. 10.1.1 Update 1 Fixed Limitations and Closed Enhancements
  8. 10.1.1 Update 1 Known Limitations
  9. 10.1.1 Fixed Limitations and Closed Enhancements
  10. 10.1.1 Known Limitations
  11. Informatica Global Customer Support

Big Data Fixed Limitations (10.1.1 HotFix 1)

Big Data Fixed Limitations (10.1.1 HotFix 1)

Review the Release Notes of previous releases for information about previous fixed limitations.
The following table describes fixed limitations:
Bug
Description
PLAT-17115
The Data Integration Service might become unresponsive when running multiple mappings in parallel that contain expressions on the Hive engine for the first time.
PLAT-17087
The Data Integration Service fails to delete .bin and .dat files in the disTemp directory after you view the execution plan for a mapping that runs in a Hadoop environment.
PLAT-13744
When you use Sqoop and define a join condition in the custom query, the mapping fails. (457397)
OCON-8987
A mapping that reads data from Netezza fails on the Blaze engine when all of the following conditions are true:
  • You run the mapping on one of the following clusters:
    • Hortonworks HDP 2.5 clusters
    • Hortonworks HDP 2.3 clusters
    • MapR Ticket clusters
    • MapR Kerberos clusters
  • You enable SSL and Kerberos authentication for the cluster, or enable only Kerberos authentication for the cluster.
OCON-8717
Sqoop mappings that write data to a target fail on Tez.
BDM-8769
The target contains duplicate data when map-side join is enabled and full outer or detail outer join should are selected in a Joiner transformation.
BDM-8709
Blaze mappings fail at run time with a validation error if the data types of the Hive table do not match the data types in the physical data object that is used as a Source or Target transformation in the mapping.
BDM-8703
Memory consumption might impact the performance of an active Java transformation included in a mapping run on the Spark engine.
BDM-8589
When configuring BDM for a MapR cluster, the Hadoop Configuration Manager requests an hdfs-site.xml file that is not available in the MapR cluster.
BDM-8614
Some edits to the Logical data object might corrupt virtual table logic in a deployed SQL data service. Run-time components that use the SQL data service might fail.
BDM-8589
The Hadoop Configuration Manager fails to configure Big Data Management for the MapR Hadoop distribution if the hdfs-site.xml file is not available on the MapR cluster.
BDM-8582
The Spark engine fails mappings when the mapping applies an LTRIM or RTRIM function to a column with null values or when the function trims the whole string.
BDM-8566
When a mapping runs in an Apache Hive environment, the mapping statistics do not record the correct number of source rows. The mapping reports the number of rows as double the correct number. The issue is visible in the Monitoring tool and in the Mapping task output in a workflow.
BDM-8564
When a mapping runs in an Apache Hive environment, the mapping statistics do not record the correct number of target rows. The mapping reports the number of rows as 0. The issue is visible in the Monitoring tool and in the Mapping task output in a workflow.


Updated January 17, 2019