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  1. Abstract
  2. PowerExchange for Amazon Redshift
  3. PowerExchange for Amazon S3
  4. PowerExchange for Cassandra
  5. PowerExchange for Cassandra JDBC
  6. PowerExchange for DataSift
  7. PowerExchange for Facebook
  8. PowerExchange for Google Analytics
  9. PowerExchange for Google BigQuery
  10. PowerExchange for Google Cloud Spanner
  11. PowerExchange for Google Cloud Storage
  12. PowerExchange for Greenplum
  13. PowerExchange for HBase
  14. PowerExchange for HDFS (10.4.1)
  15. PowerExchange for HDFS (10.4.0)
  16. PowerExchange for Hive
  17. PowerExchange for JD Edwards EnterpriseOne
  18. PowerExchange for JDBC V2
  19. PowerExchange for LDAP
  20. PowerExchange for LinkedIn
  21. PowerExchange for MapR-DB
  22. PowerExchange for Microsoft Azure Blob Storage
  23. PowerExchange for Microsoft Azure Cosmos DB SQL API
  24. PowerExchange for Microsoft Azure Data Lake Storage Gen1
  25. PowerExchange for Microsoft Azure Data Lake Storage Gen2
  26. PowerExchange for Microsoft Azure SQL Data Warehouse
  27. PowerExchange for Microsoft Dynamics CRM
  28. PowerExchange for MongoDB
  29. PowerExchange for Netezza
  30. PowerExchange for OData
  31. PowerExchange for Salesforce
  32. PowerExchange for Salesforce Marketing Cloud
  33. PowerExchange for SAP NetWeaver
  34. PowerExchange for Snowflake
  35. PowerExchange for Tableau
  36. PowerExchange for Tableau V3
  37. PowerExchange for Teradata Parallel Transporter API
  38. PowerExchange for Twitter
  39. PowerExchange for Web Content-Kapow Katalyst
  40. Informatica Global Customer Support

PowerExchange Adapters for Informatica Release Notes

PowerExchange Adapters for Informatica Release Notes

PowerExchange for Microsoft Azure SQL Data Warehouse Known Limitations (10.4.0)

PowerExchange for Microsoft Azure SQL Data Warehouse Known Limitations (10.4.0)

The following table describes known limitations:
Bug
Description
BDM-28917
When the source data contains a slash
'\'
and you create a mapping to read the source data and retain the default quote character,
0x1f
, the mapping fails with the following error on the Databricks Spark engine:
SEVERE: Exception: com.microsoft.sqlserver.jdbc.SQLServerException: HdfsBridge::recordReaderFillBuffer - Unexpected error encountered filling record reader buffer: HadoopExecutionException: Could not find a delimiter after string delimiter."
OCON-22851
When you use an ODBC data source to connect to Microsoft Azure SQL Data Warehouse and if the imported metadata contains special characters, the mapping fails.
OCON-22639
When you run a dynamic mapping that reads date, datetime, or smalldatetime fields from a source and creates an Azure SQL Data Warehouse target at run time, the mapping fails to run on the Databricks Spark engine.
OCON-17119
When you use the default values for field delimiter or quote character in advance source or target properties, mappings fail with incompatible data types or precision errors or the Data Integration Service writes incorrect data to the target.
OCON-12973
When you run a mapping that contains unconnected ports on the Hive engine, the mapping might fail or data corruption might happen.
OCON-12844
When you upsert or update data to Microsoft Azure SQL Data Warehouse and more than one column in the source table contains same value as the target column on which the primary key is defined, the Data Integration Service updates data incorrectly.