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  • Informatica Data Quality 10.5.4.1
  • All Products

Table of Contents

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  1. Preface
  2. Installation
  3. Before you apply the service pack
  4. Install the service pack
  5. Roll back the service pack
  6. 10.5.4.1 Fixed Issues
  7. 10.5.4.1 Known Issues
  8. Emergency Bug Fixes Merged into 10.5.4.1
  9. Cumulative Known Limitations
  10. Informatica Global Customer Support

Release Notes

Release Notes

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Data Engineering Integration Fixed Issues (10.5.4.1)

Data Engineering Integration Fixed Issues (10.5.4.1)

Review the Release Notes of previous releases for information about previous fixed issues.
The following table describes fixed issues:
Issue
Description
PLAT-30533
Failed to schedule scorecards created on the Hive customized data object.
BDM-41209
The SqoopExecUtils execution fails in a simple JDBC Sqoop pass-through mapping.
BDM-41200
Dynamic mapping fails in mapping compilation.
BDM-41193
When input has multiline data, the mapping containing the Python transformation fails.
BDM-41190
Mappings tasks fail randomly for both the native and Spark jobs on a particular Data Integration Service.
BDM-41179
Mappings tasks fail randomly in the Data Engineering Quality.
BDM-41178
Retry of final state stats failed due to the following error:
"String argument 'objectName' cannot be empty".
BDM-41168
ExecutionContextOptions.Spark.TreatNullCharAs property does not replace the binary null with space.
BDM-41126
Synchronous stat save causes delays for the mapping service.
BDM-41124
When you run a mapping with the operating system profile, the securefileaccess process remains.
BDM-41118
When you reimport the data domains, the data domain group association gets lost.
BDM-41109
Scorecard built on customized data object for Microsoft SQL Server shuts down with the appendError method allocating memory error.
BDM-41066
Spark mappings fails with the
java.util.concurrent.ExecutionException: java.io.FileNotFoundException
 error.
BDM-41065
The start time and execution time or fire time for jobs in the scheduler service logs do not match.
BDM-41064
Unable to add inputs to CONCAT() function in rule specification.
BDM-40982
When you create and run an Flat File (FF) to FF mapping on a Spark engine, the mapping fails with the following error:
java.lang.NoSuchMethodError
.
BDM-40919
When you run mappings on an Amazon EMR cluster version 6.4 with Spark 3.1.3 libraries on the Spark engine, the mappings fail with an exception error.
BDM-40629
Spark fails to process Hive varchar (4) on EMR 6.4.
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