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  1. Preface
  2. New Features
  3. Support Changes
  4. Verify System Requirements
  5. Installation
  6. Post-installation Steps
  7. Emergency Bug Fixes Merged into 10.4.0.2
  8. Emergency Bug Fixes Merged into 10.4.0.1
  9. 10.4.0.2 Fixed Limitations
  10. 10.4.0.2 Known Limitations
  11. 10.4.0.1 Fixed Limitations and Closed Enhancements
  12. 10.4.0.1 Known Limitations
  13. Informatica Global Customer Support

Release Notes (10.4.0.2)

Release Notes (10.4.0.2)

Data Engineering Integration Fixed Limitations (10.4.0.2)

Data Engineering Integration Fixed Limitations (10.4.0.2)

Review the Release Notes of previous releases for information about previous fixed limitations.
The following table describes fixed limitations:
Bug
Description
BDM-32012
When you specify a file path as the value for the Databricks Create Cluster task advanced properties Cluster Tags, Spark Configurations, or Environment Variables, the Create Cluster task fails with the following error:
java.lang.RuntimeException: Failed to create Databricks Cluster with name [<name>] due to invalid character at [<position>] in [<file location>].
BDM-31794
BDM-32126
Mappings that use the Spark engine to run on HDInsight 3.6 fail after an Azure update with the error:
java.lang.ClassNotFoundException: org.wildfly.openssl.OpenSSLProvider
BDM-31589
BDM-31614
BDM-32010
When the path to the physical data object source includes spaces in the name of a file or directory, the path that is rendered in the source output has the characters
%20
for spaces. For example,
C:\\testdirectory\flat file.txt
is rendered as
C:\\testdirectory\flat%20file.txt
. This behavior happens for flat file and complex files.
BDM-31589
BDM-32010
When the path to the physical data object source includes spaces in the name of a file or directory, the path that is rendered in the source output has the characters
%20
for spaces. For example,
C:\\testdirectory\flat file.txt
is rendered as
C:\\testdirectory\flat%20file.txt
. This behavior happens for flat file and complex files.
BDM-31416
On the Spark engine, writing to a Hive ACID target and using "Retain" target schema strategy / advanced properties, mappings fail with the following error:
java.io.IOException: No service instances found in registry

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