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  1. Abstract
  2. PowerExchange for Amazon Redshift
  3. PowerExchange for Amazon S3
  4. PowerExchange for Cassandra
  5. PowerExchange for Google BigQuery
  6. PowerExchange for Google Cloud Storage
  7. PowerExchange for Greenplum
  8. PowerExchange for HBase
  9. PowerExchange for HDFS
  10. PowerExchange for Hive
  11. PowerExchange for JDBC V2
  12. PowerExchange for JD Edwards EnterpriseOne
  13. PowerExchange for Kudu
  14. PowerExchange for LDAP
  15. PowerExchange for Microsoft Azure Blob Storage
  16. PowerExchange for Microsoft Azure Cosmos DB SQL API
  17. PowerExchange for Microsoft Azure Data Lake Storage Gen1
  18. PowerExchange for Microsoft Azure Data Lake Storage Gen2
  19. PowerExchange for Microsoft Azure SQL Data Warehouse
  20. PowerExchange for MongoDB
  21. PowerExchange for Netezza
  22. PowerExchange for OData
  23. PowerExchange for Salesforce
  24. PowerExchange for SAP NetWeaver
  25. PowerExchange for Snowflake
  26. PowerExchange for Teradata
  27. Informatica Global Customer Support

PowerExchange Adapters for Informatica Release Notes

PowerExchange Adapters for Informatica Release Notes

PowerExchange for JDBC V2 (10.5)

PowerExchange for JDBC V2 (10.5)

Fixed Issues

The following table describes fixed issues:
Bug
Description
OCON-26481
When you run a JDBC V2 mapping on the Spark or the Databricks Spark engine, the mapping fails with the following error:
java.lang.NoSuchMethodError: scala.Predef$.refArrayOps([Ljava/lang/Object;)Lscala/collection/mutable/ArrayOps;
This issue occurs when you use the Amazon EMR 6.x or the Databricks 7.3 distribution.

Known Issues

The following table describes known issues:
Bug
Description
OCON-27492
When you run a mapping to write data to a JDBC V2 target using the
Create Target
option, the Data Integration Service does not pass the primary key and Not Null information to the target.
BDM-36818
When you run a JDBC V2 mapping on the Spark engine to write Unicode characters using the
Create Target
option, the summary statistics does not appear on the
Monitoring
tab.

Third-Party Known Issues

The following table describes third-party known issues:
Bug
Description
OCON-22649
When you run a JDBC V2 mapping to read or write data with the Time data type and the precision exceeds 3, data is truncated.