Hi, I'm Ask INFA!
What would you like to know?
ASK INFAPreview
Please to access Ask INFA.
This page is the closest match. If it�s the page you were looking for, you might want to bookmark it for future use.

Table of Contents

Search

  1. Informatica Intelligent Cloud Services Release Notes
  2. Administrator
  3. API Center
  4. API Manager
  5. API Portal
  6. Application Integration
  7. B2B Gateway
  8. B2B Partners Portal
  9. Business 360 Console
  10. CLAIRE GPT
  11. Cloud Data Integration for PowerCenter (CDI-PC)
  12. Data Accelerator for Azure
  13. Data Access Management
  14. Data Governance and Catalog
  15. Data Ingestion and Replication
  16. Data Integration
  17. Data Marketplace
  18. Data Profiling
  19. Data Quality
  20. Data Validation
  21. Human Tasks
  22. Integration Hub
  23. MDM - Customer 360 SaaS
  24. MDM - Product 360 SaaS
  25. MDM - Reference 360
  26. MDM - Supplier 360 SaaS
  27. Metadata Command Center
  28. Model Serve
  29. Monitor
  30. Multidomain MDM SaaS
  31. Operational Insights

Release Notes

Release Notes

Databricks Connector

Databricks Connector

Fixed issues

The following table describes fixed issues:
Issue
Description
CCON-95737
When you use the Databricks runtime version 14 and run a Databricks mapping in advanced mode, the mapping fails with the following error:
Error:org.apache.spark.sql.delta.actions.InvalidProtocolVersionException: Delta protocol version is too new for this version of the Databricks Runtime. Please upgrade to a newer release.
(July 2024)

Known issues

The following table describes known issues:
Issue
Description
CCON-101731
When you run a mapping task that is based on a mapping in SQL ELT mode, and the mapping contains a parameterized unconnected Lookup transformation, the task fails with the following error:
An error occurred during mapping translation: Internal error.
(October 2024)

Third-party known issues

The following table describes third-party known issues:
Issue
Description
CCON-70459
When you read more than 10 GB of data from Databricks, the mappings intermittently fail with the following error:
[ERROR] Read from Delta table failed
(November 2023)
Databricks ticket number: 2310230030003014

0 COMMENTS

We’d like to hear from you!