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Table of Contents

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  1. Informatica Intelligent Cloud Services Release Notes
  2. Administrator
  3. API Center
  4. API Manager
  5. API Portal
  6. Application Integration
  7. B2B Gateway
  8. B2B Partners Portal
  9. Business 360 Console
  10. CLAIRE GPT
  11. Cloud Data Integration for PowerCenter (CDI-PC)
  12. Data Accelerator for Azure
  13. Data Access Management
  14. Data Governance and Catalog
  15. Data Ingestion and Replication
  16. Data Integration
  17. Data Marketplace
  18. Data Profiling
  19. Data Quality
  20. Data Validation
  21. Human Tasks
  22. Integration Hub
  23. MDM - Customer 360 SaaS
  24. MDM - Product 360 SaaS
  25. MDM - Reference 360
  26. MDM - Supplier 360 SaaS
  27. Metadata Command Center
  28. Model Serve
  29. Monitor
  30. Multidomain MDM SaaS
  31. Operational Insights

Release Notes

Release Notes

SQL Server

SQL Server

Fixed issues

The following table describes fixed issues:
Issue
Description
DBMI-20002
Database ingestion and replication jobs that have a SQL Server source with IMAGE columns that contain nulls and a SQL Server target might fail if you create a custom data-type mapping that maps the IMAGE data type to the VARBINARY data type. In the case, the following error issued:
[Informatica][SQLServer JDBC Driver][SQLServer]Explicit conversion from data type image to varchar is not allowed.. Error code: 529
(October 2024)
DBMI-19988
A database ingestion and replication incremental load job that has a SQL Server source and contains a table that is not capturing a complete column set, such as excluded LOB or computed columns, might result in corrupted data when performing an Update operation. The job might continue to run without failing.
(October 2024)
DBMI-19743
A database ingestion and replication incremental load or combined load job that has a SQL Server target might not roll back the target transaction if the transaction fails to commit a recovery checkpoint.
(October 2024)
DBMI-19630
Database ingestion and replication initial load jobs that have a SQL Server target and process a large amount of data fail if the target connection drops. The jobs cannot retry the target connection. In this case, you have to restart the jobs from the earliest available position in the log, which is inefficient.
(August 2024)
DBMI-19614
Database ingestion and replication combined load jobs that have a SQL Server source and SQL Server target fail to clean up temporary data files after the initial load phase completes and the data has been loaded to the target. These data files can consume gigabytes of storage unnecessarily.
(August 2024)
DBMI-19122
If you configure a SQL Server connection to use the
Active Directory Password
authentication mode and then use that connection for database ingestion and replication incremental load jobs that connect to an Azure SQL Database source, the jobs use another authentication mode, which causes the connection to fail.
(August 2024)
DBMI-18097
Database ingestion and replication jobs that have a SQL Server source and SQL Server target might fail with the following error when processing large queries to the database:
Caused by: java.sql.SQLSyntaxErrorException: [informatica] [SQLServer JDBC Driver] [SQLServer] There is already an object named '<temp_table_name>_VER' in the database.
The problem persists even after the job is undeployed, the tables on the target are dropped, and the job is deployed again.
(July 2024)

Known issues

The following table describes known issues:
Issue
Description
DBMI-11552
Database ingestion and replication
initial load jobs that use the Informatica-supplied Progress DataDirect JDBC driver for SQL Server to connect to a SQL Server source fail.
Workaround: Download the Microsoft JDBC Driver for SQL Server.
(September 2022)
DBMI-10272
Database ingestion and replication
incremental load or combined initial and incremental load jobs that have a SQL Server source with binary, decimal, or datetimeoffset columns and an Oracle target fail if a DML update operation is followed by an insert.
Workaround: None.
(May 2022)

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