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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

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Hive Connector

Hive Connector

Known issues

The following table describes known issues:
CR
Description
CLDDI-16393
When you configure a mapping to create a new Hive target at runtime to write data from a Kafka source, where the selected objects in the mapping are parameterized, the mapping fails with the following error:
com.informatica.powercenter.sdk.SDKException: Invalid operation field name
(November 2022)
CLDDI-13771
When you read from multiple Hive objects that have special characters in the columns names, the mapping fails. (July 2022)
CCON-44818
If you enable the Alter and Apply Changes schema handling option for a mapping that creates a new target at runtime and the source column names contain upper or mixed case characters, the alter command does not trigger and the mapping fails. (May 2022)
CLDDI-12044
In advanced mode, a mapping that contains 15 or more Hive targets selected to create at runtime fails with a translation error. (April 2022)
CBDM-18582
In advanced mode, when you include an unassigned data field from an ISD source in a mapping to write to a Hive target, the mapping fails with the following error:
[UnassignedData] in the transformation [Target] because the type configurations do not match
(April 2022)
CBDM-18483
When you configure a Joiner transformation in a mapping in advanced mode to join two Hive tables where the field name for the complex data type column is the same in both the tables, the mapping fails.
Workaround: Ensure that the field names for the complex data type column in both the tables are different. (April 2022)
CLDDI-9467
If the target table column name contains special characters and the update strategy condition is parameterized, the mapping fails. This issue also occurs in mappings configured in advanced mode. (October 2021)
CBDM-15502
A mapping configured with a data driven operation that runs on the
advanced cluster
 can encounter errors in the following scenarios:
  • When the length of the update column name exceeds 128 characters, the name is truncated. The agent fails to recognize the column name as a connected field and the mapping fails with the following error:
    com.informatica.sdk.dtm.InvalidMappingException
  • When the column name in a data driven operation exceeds 74 characters, the name is truncated.
(October 2021)
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