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  1. Abstract
  2. PowerExchange for Amazon Redshift
  3. PowerExchange for Amazon S3
  4. PowerExchange for Cassandra
  5. PowerExchange for Google Analytics
  6. PowerExchange for Google BigQuery
  7. PowerExchange for Google Cloud Spanner
  8. PowerExchange for Google Cloud Storage
  9. PowerExchange for Greenplum
  10. PowerExchange for HBase
  11. PowerExchange for HDFS
  12. PowerExchange for Hive
  13. PowerExchange for JDBC V2
  14. PowerExchange for JD Edwards EnterpriseOne
  15. PowerExchange for Kudu
  16. PowerExchange for LDAP
  17. PowerExchange for Microsoft Azure Blob Storage
  18. PowerExchange for Microsoft Azure Cosmos DB SQL API
  19. PowerExchange for Microsoft Azure Data Lake Storage Gen1
  20. PowerExchange for Microsoft Azure Data Lake Storage Gen2
  21. PowerExchange for Microsoft Azure SQL Data Warehouse
  22. PowerExchange for Microsoft Dynamics CRM
  23. PowerExchange for MongoDB
  24. PowerExchange for Netezza
  25. PowerExchange for OData
  26. PowerExchange for Salesforce
  27. PowerExchange for SAP NetWeaver
  28. PowerExchange for Snowflake
  29. PowerExchange for Tableau
  30. PowerExchange for Tableau V3
  31. PowerExchange for Teradata Parallel Transporter API
  32. 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.

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