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  • Data Integration Connectors
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Table of Contents

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  1. Abstract
  2. Connectors Released for March 2023
  3. Adabas CDC Connector
  4. Adabas Connector
  5. Amazon DynamoDB V2 Connector
  6. Amazon Redshift V2 Connector
  7. Amazon S3 V2 Connector
  8. Anaplan V2 Connector
  9. Coupa V2 Connector
  10. Business 360 Connector
  11. Business 360 FEP Connector
  12. Databricks Delta Connector
  13. Datacom CDC Connector
  14. Datacom Connector
  15. Db2 for i CDC Connector
  16. Db2 for i Connector
  17. Db2 for LUW CDC Connector
  18. Db2 for z/OS CDC Connector
  19. Db2 for z/OS Connector
  20. Google BigQuery V2 Connector
  21. Google Cloud Storage V2 Connector
  22. IDMS CDC Connector
  23. IDMS Connector
  24. IMS CDC Connector
  25. IMS Connector
  26. Hive Connector
  27. Kafka Connector
  28. Microsoft Azure Data Lake Storage Gen2 Connector
  29. Microsoft Azure Synapse SQL Connector
  30. Microsoft SQL Server Connector
  31. Microsoft SQL Server CDC Connector
  32. MySQL CDC Connector
  33. OData V2 Protocol Reader Connector
  34. Oracle CDC V2 Connector
  35. PostgreSQL Connector
  36. PostgreSQL CDC Connector
  37. SAP BAPI Connector
  38. SAP HANA Connector
  39. SAP HANA CDC Connector
  40. SAP ODP Extractor Connector
  41. SAP Table Connector
  42. Sequential File Connector
  43. Snowflake Data Cloud Connector
  44. VSAM CDC Connector
  45. VSAM Connector
  46. Informatica Global Customer Support

Connector Release Notes

Connector Release Notes

Back Next

Google Cloud Storage V2 Connector

Google Cloud Storage V2 Connector

Known issues

The following table describes known issues:
CR
Description
CCON-41487
When you enable the
Optimize Object Metadata Import
 connection property in a mapping configured in advanced mode to read data from or write data to a Google Cloud Storage file, where the file and folder within a Google Cloud Storage bucket has the same name, the metadata import fails with the following error:
Failed to validate the data object because the entry already exists in the collection. Provide a unique name for the entry.
(April 2022)
CCON-33762
When you run a mapping configured in advanced mode to read data from a Google Cloud Storage source and write data to a Google Cloud Storage target, the mapping runs successfully, but the Spark Driver log displays the following error:
GoogleHadoopFileSystemBase - No working directory configured, using default.
Workaround: Ignore the error message.
(July 2021)
CCON-32239
When you run a mapping configured in advanced mode to read data from a Google Cloud Storage flat file in Delimited format and specify % as the delimiter, the data preview displays the following error:
Cannot get data preview for the selected Connection and object. Please verify connection and object details. (URLDecoder: Illegal hex characters in escape (%) pattern - For input string: ""}")
(July 2021)

Third-party known issues

The following table describes third-party known issues:
CR
Description
CCON-37419
Mappings fail when you read data from a Google Cloud Storage source and write data to a Google Cloud Storage target and if the source and the target connections use different Project IDs associated with the same Google service account.
Google ticket reference number: 27958640
(February 2022)
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