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  • PowerExchange Adapters for Informatica 10.5
  • All Products

Table of Contents

Search

  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

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PowerExchange for Microsoft Azure Cosmos DB SQL API (10.5)

PowerExchange for Microsoft Azure Cosmos DB SQL API (10.5)

Known Issues

The following table describes known issues:
Bug
Description
OCON-26473
Microsoft Azure Cosmos DB SQL API mappings that run on the Databricks Spark engine 7.2 might fail with the following error:
java.lang.NoSuchMethodError: scala.Predef$.refArrayOps
OCON-11892
When you create a data object, the system fields, for example
_ts
,
_etag
, appear by default in the write operation.
Workaround: Go to
Column Projection
 and edit the schema to remove the system fields.
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