5.24.2023 Release Notes

These are the release notes for May 24, 2023

🎁 PREVIEWS 🎁

• Data Shares - Private Preview (Gen2 environments only):
  • 🚀 Scheduled Data Shares - another exciting enhancement!
    • Customize the refresh schedule for materialized Data Share Connectors (the subscribing side of a Data Share).
    • You can also choose "Continuous" scheduling mode so that Data Share Connectors (subscriber) will refresh automatically when the upstream Data Share (publisher) changes!
  • Enable easy and secure sharing of data products across all supported Data Planes:
    • Key enabler of an Ascend for Data Mesh strategy.
    • Contact your Ascend representative to request early access!

✨ ENHANCEMENTS ✨

• We now offer enhanced, detailed billing reports in our Observe functionality:
  • Supports per cluster & warehouse usage, helping you identify your most expensive use cases! 💸
• Add support for Databricks Unity Catalog:
  • Users can configure which catalog to ingest from (Read Connectors) or write to (Write Connectors).
  • On Databricks Data Planes, you can configure the catalog in the Data Plane Configuration to persist Read Connectors and Transforms into the specified catalog.
• Ascend Hosted Cloud:
  • Users with access to multiple Cloud Cells can choose from a menu of authorized cells during the login process.
  • Improve button navigation user experience in the Ascend Cloud onboarding workflow.

🔧 BUGFIXES 🔧

• All environments (Gen1/Gen2):
  • Prevent a race condition that could impact certain Read Connectors, particularly those with incremental ingest strategies. This condition could cause a Read Connector to sporadically become stuck and unable to ingest new data.
  • Fix two internal issues that caused the component error "java.util.NoSuchElementException: None.get":
    • Fix race condition affecting statistics computation during evaluation of partition filters.
    • Handle empty input partitions during evaluation of partition filters.
  • Fix UI for partition join when upstream is a Data Feed Connector.
• Gen2 environments:
  • BigQuery Data Plane:
    • Fix a bug where a Transform would fail downstream from a non-materialized BigQuery Read Connector (registered through "My Tables") when the upstream table contained a DATETIME column.
  • Snowflake Data Plane:
    • Add a mechanism to help recover job processing in rare cases of encountering a deadlock while connecting to Snowflake using the official vendor-supported Snowflake Python Connector.