2025.10.23 Lakehouse Studio Release Notes

In this release (Release 2025.10.23, v1.9.2), we have introduced a series of new features, enhancements, and fixes. Please note that these updates will be rolled out gradually to the following regions over one to two weeks starting from the release date, depending on your region:

  • Tencent Cloud Shanghai
  • Tencent Cloud Beijing
  • Tencent Cloud Guangzhou
  • Alibaba Cloud Shanghai
  • Alibaba Cloud Singapore
  • AWS Singapore
  • AWS Beijing

Incompatible Changes

  • None

New Features

  • Data Sync:

    • Added multi-table batch sync functionality, supporting batch synchronization of source database tables to Lakehouse through a single task. Supported sources include MySQL, PostgreSQL, SQL Server, Aurora MySQL, Aurora PostgreSQL, PolarDB MySQL, and PolarDB PostgreSQL.
    • Batch Sync: Added support for reading from Amazon OpenSearch data sources.
    • Batch Sync: Added support for reading from Amazon DocumentDB data sources.
    • Batch Sync: Data sync to ElasticSearch now supports custom configuration of document ID field values.
    • Multi-table Real-time Sync: Added adaptation for source-side table truncation scenarios, with corresponding deletion of data in target tables.
    • Multi-table Real-time Sync: PostgreSQL data sources now support user-defined publication specification.

  • Task Development:

    • Composite tasks now support manual triggering for temporary runs, providing testing capability before submitting and publishing to production scheduling environments.
    • Completely upgraded the advanced search interaction experience, optimizing the display and operation of search results to improve search efficiency. Added support for searching by task name with multi-keyword combined retrieval. For example, to search for multiple keywords simultaneously, you can directly enter keywords in the search box separated by spaces, and also supports entering the keyword "AND" for association.
    • Added monitoring notification functionality for temporary task run completion and scheduled task completion, supporting delivery of data query results via email.
    • Added task sharing functionality. Supports sharing task URLs to allow other users to locate and open tasks.

  • Monitoring & Alerting: Added monitoring events for scheduled task instance run completion.

  • Data Catalog:

    • When uploading data to existing tables, users can now select the data range to upload and freely match fields.
    • Added Volume visual management functionality, supporting direct upload and management of various unstructured data types, similar to operating local files.

  • Workspace:

    • Added support for deleting workspaces.
    • Optimized workspace connection string information display. Added support for generating JDBC and MySQL protocol connection strings based on selected login identity and resources, as well as connection sample code for Java, Python, and other languages.

Optimizations

  • Data Sync: Real-time Sync now supports forcibly updating sync object configurations to remove tables that have been deleted from the source from the object list.

  • Task Development:

    • Support for viewing complete Lakehouse SQL error messages in run logs.
    • Composite nodes now support intelligent parsing of task output.
    • Optimized data result columns for cross-row display format.

  • Task Scheduling: Optimized backfill task concurrency behavior. Changed the behavior of splitting by date dimension grouping to the number of instances executed concurrently each time, improving concurrent execution efficiency. For example, if a backfill task spans 1 day but contains 128 task instances, and the concurrency is set to 32, the previous approach would only execute 1 instance at a time (concurrency not taking effect); the new approach executes 32 backfill instances at a time.

  • Monitoring & Alerting: Optimized interaction operations for selecting large numbers of tasks under the task run failure monitoring alert item.

  • Data Catalog:

    • Enhanced recognition capability for time & date types during data upload, supporting matching of different date display formats in documents.
    • Support for sorting tables under a schema by data volume and row count.
    • Optimized data preview mechanism for real-time retrieval.

Bug Fixes

  • Data Sync: Fixed issue where dirty data details were displayed as empty during offline sync for Doris and other data sources.

  • Task Development:

    • Fixed issue in composite node history comparison where too many child nodes caused incomplete display.
    • Fixed issue where code retrieval would directly reuse recalled results when searching with the same keyword multiple times.

  • Operations Center: Fixed permission error when forcibly stopping child tasks during composite node execution.

  • Monitoring & Alerting: Fixed issue where non-administrator users could not subscribe to built-in monitoring rules.

  • Permission Management: Fixed issue where custom roles still lacked permission to run backfill data functionality after authorization.

  • Workspace: Fixed issue where adding workspace members was ineffective when deleting an account and recreating an account with the same name.

Known Limitations

  • There are no known major limitations introduced in this release.
Lakehouse Studio Release Notes
August 25, 2025
Singdata © 2024 Singdata, Inc. All Rights Reserved.