July 15, 2025 — 1.2 Lakehouse Platform Product Update Release Notes

This release (Release 2025.07.15) introduces a series of new features, enhancements, and bug fixes. These updates will be rolled out gradually to the following regions, expected to complete within one to two weeks from the release date. The exact timing depends on your region.

Domestic Regions

• Alibaba Cloud (Shanghai)
• Tencent Cloud (Shanghai/Beijing/Guangzhou)
• AWS (Beijing)

International Regions

• Alibaba Cloud (Singapore)
• AWS (Singapore)

New Features

Spark On Lakehouse Production-Ready [Invite-Only]

• Volume File Reference Support: When submitting Spark jobs, Volume addresses can be used to reference application files and dependency files.
• Storage Integration: Supports Spark reading from and writing to Lakehouse storage, compatible with Lakehouse Catalog and internal table read/write.
• Job History Integration: Spark jobs are now displayed in Studio Job History.
• Lakehouse Studio Integration: Added single-tenant services, job monitoring and management APIs, strengthening end-to-end management and control capabilities.

Security and Permission Enhancement

• Kerberos Authentication: HDFS connections now support Kerberos authentication, improving enterprise-grade security. See CREATE EXTERNAL CATALOG, Case 4.

Inverted Index Feature Optimization

• Multi-match Query: Supports multi-field multi-match queries, including configurations such as fields, cross_fields, and minimum_should_match. See Multi-match Feature.
• Similarity Algorithm Parameter Tuning: Supports adjusting the BM25 similarity algorithm parameters k1 and b. See Inverted Index BM25 Parameter Tuning.

Ecosystem Integration

• Lakehouse now supports EXTERNAL CATALOG, compatible with the Iceberg REST protocol, enabling direct connection to services such as Snowflake Open Catalog. See Accessing Iceberg Tables from Snowflake OpenCatalog.

Bug Fixes

SQL Engine Fixes

• IFNULL Function: Fixed the return value issue of select if null.
• Dynamic Table Field Types: Supports manually specifying field types when creating a Dynamic Table.
• Table Comment Copy: Fixed an issue where create table like did not copy the source table's comment.

Performance Optimization

• Metadata Performance: Column statistics are no longer collected during PIPE (COPY SQL) ingestion to improve COMMIT efficiency.
• Metadata Cache (Meta Cache): Added an adaptive caching strategy for metadata cache.
• HDFS Write: Resolved Java client compatibility issues when writing to HDFS external tables.

User Experience Improvements

• information_schema: Fixed an issue in the information_schema.tables view where tables with the same name displayed multiple records.
• Job Profile: Enhanced job performance profile information display, supporting the exposure of sub-job information.