Release Notes
Last updated:2026-01-27 17:21:28
December 2025
Update | Description | Release Date | Documentation |
Explore Data AI SQL Error Correction | Data exploration now supports automatic SQL error correction, offering one-click repair recommendations to drastically improve development efficiency. | 2025-12 | - |
Multilingual Internationalization (Japanese) | The international site console and official documentation are now available in Japanese, supporting global office needs. | 2025-12 | - |
Time-sharing elastic configuration | The standard engine (Spark Monthly Subscription) supports setting multiple auto scaling policies by period to optimize performance during peak hours and reduce cost during off-peak hours. | 2025-12 | - |
Machine Learning Resource Group Monitoring | Newly-added monitoring for Dedicated Resource Groups in machine learning supports real-time dashboards for core metrics like CU, making resource utilization more transparent. | 2025-12 | - |
Spark logsubmission show | The engine log module now shows submission phase logs to help developers accurately locate job initiation issues. | 2025-12 | - |
Native table supports Excel Import | Support direct Excel Format import to the data lake, simplifying the process of importing unstructured office data. | 2025-12 | - |
Computational resource startup speed optimization | Underlying image upgrade optimization enhances computational resource startup speed and shortens job waiting time. | 2025-12 | - |
Upgrade the toolchain dlcutils | Dlcutils supports built-in utility function expansion to further enhance development flexibility. | 2025-12 | - |
Private DNS support | Added support for private DNS, optimized resource access in VPC environment. | 2025-12 | |
Dependency package management optimization | Dependency package management supports batch operations to enhance library file management efficiency. | 2025-12 | |
Spark Streaming monitoring | Add new streaming compute metrics monitoring for real-time monitoring of Spark Streaming job running status. | 2025-12 | - |
New process center module | The process center module goes live, offering task flow orchestration and management capability. | 2025-12 | - |
September 2025
Update | Description | Release Date | Documentation |
DLC APIs integration with the Terraform platform | The DLC APIs are integrated with the Terraform platform, supporting unified management through Terraform. | 2025-09 | |
Standard engine support for GPU heterogeneous resources | The standard engine adds support for GPU heterogeneous resources (this is an allowlist feature; contact the after-sales in advance for purchase). | 2025-09 | |
Standard engine adds job resource group | The standard engine adds the job resource group, enabling fine-grained resource management. | 2025-09 |
July 2025
Update | Description | Release Date | Documentation |
SuperSQL SparkSQL engine supports data desensitization | The SuperSQL SparkSQL engine adds support for the data desensitization feature, ensuring data security and privacy. | 2025-07 | |
Standard engine resource group-level monitoring | The standard engine adds the "SQL analysis only resource group" monitoring, enabling more granular resource management and performance analysis. | 2025-07 | |
Log category separate display | For historical task instances, the logs can be categorized by the type. This supports the display of Log4j, Stdout, and Stderr logs individually, making it easy for log troubleshooting and analysis. | 2025-07 | |
Task resource usage condition | A task-level resource usage fluctuation chart has been added, providing an intuitive display of resource usage trends and improving task monitoring capabilities. | 2025-07 | |
External data source optimization in metadata management | External data sources in metadata management add support for configuring advanced settings, including rollback configurations, enhancing both configuration flexibility and security. | 2025-07 |
June 2025
Update | Description | Release Date | Documentation |
Scheduled scaling policy | The SuperSQL SparkSQL engine and Presto engine support scheduled scaling policies, enhancing resource scheduling flexibility. | 2025-06 | |
Standard engine enables dynamic resource allocation by default | The standard engine configurations enable dynamic resource allocation by default, allowing automatic load adjustment. | 2025-06 | - |
TC-Iceberg optimization | TC-Iceberg supports aggregation merge functions and related performance optimization, enhancing data processing capabilities. | 2025-06 | - |
SuperSQL Presto engine support for ANALYZE syntax | The SuperSQL Presto engine adds support for ANALYZE syntax, optimizing query performance. | 2025-06 | - |
May 2025
Update | Description | Release Date | Documentation |
Data Recycle Bin | The data recycle bin feature is added under the DataLakeCatalog. Once this feature is enabled, when Iceberg native tables in this directory are deleted, these tables in this directory will not be permanently deleted but retained in the data recycle bin. Administrators can perform permanent deletion or restoration operations on these tables, while regular users can restore tables for which they have permissions. | 2025-05 | |
Python-Created UDF | Python-created UDFs support authorization for function operation management by creators and administrators. | 2025-05 | |
Job Access Policy | Configure an access policy under the root account as a resident access policy. After configuring the access policy as a resident access policy, the user under the account will automatically run the policy when running job tasks if not specifically selected. | 2025-05 | - |
Query Result Optimization | For search results that are NULL, use the frontend style to distinguish whether NULL means the data itself is NULL or the character contains NULL. | 2025-05 | - |
DLC Log Shipping | Support shipping log data from CLS directly to DLC, facilitating users to further process and analyze the log data using Spark. | 2025-05 |
March 2025
Update | Description | Release Date | Documentation |
Resource Group Optimization of Standard Engine | Support entering custom parameters. | 2025-03 | - |
Permission Management Feature Upgrade of Standard Engine | Permission control is unified and managed through the CAM platform. | 2025-03 | |
Standard Engine Supporting Startup and Stop Logs | Standard Engine supports the startup and stop log feature. | 2025-03 | |
Historical Task Instance Upgrade | Newly upgraded historical task instances provide an optimization of the user task Ops experience. | 2025-03 | |
Navigation Experience Optimization of DLC Console | Optimize console navigation categorization. | 2025-03 | |
DLC Native Tables Adding TC-Iceberg Table Format (Beta) | The TC-Iceberg batch-stream integrated table format type (beta version) is added to DLC-managed storage native tables, which supports the near-real-time construction capability of data warehouse. | 2025-03 |
January 2025
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Quick configuration of resource group for the standard engine | Support users to conveniently and quickly configure the total specification of resource groups. | 2025-01 | |
Metadata API optimization | Support querying data in Cloud File Storage (CFS) storage formats. | 2025-01 | - |
Optimization of dlcutils functions | dlcutils provides parameter management functionality. | 2025-01 | - |
magic command %run support | Support using %run to call scripts across notebooks | 2025-01 | - |
December 2024
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Smart Storage | Provide an overall view of the current storage situation and governance optimization. Help users diagnose storage-related risks, and then configure data optimization to resolve potential risks. | 2024-12 | |
Task insight and engine usage insight support Standard Spark Engine. | The extended feature of task insight and engine usage insight is applicable to Standard Spark Engine. | 2024-12 | |
Billing mode upgrade | The pay-as-you-go engine switches to the monthly subscription mode. | 2024-12 | - |
UDF function optimization | Support the auto-refresh function of UDF functions. | 2024-12 | - |
November 2024
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Support SDK lightweight writing data | Support writing data in real time via the SDK. | 2024-11 | - |
Optimization of the method for adding users in permission management | DLC administrators can batch add users as DLC users through the DLC workbench. | 2024-11 | - |
Data exploration | Add a new demo experience dataset for data exploration to assist customers in better pre-understanding feature usage. (Test dataset name: tpch / demo_tpch) | 2024-11 | - |
July 2024
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Newly-added SuperSQL spark Engine 3.2 native runtime beta Version | By using the Native runtime environment provided by Tencent Cloud Meson Engine, the execution performance of SQL category applications can be accelerated through technologies such as vectorization. In some scenarios, the performance can be improved by more than 2 times compared to SuperSQL version 1.0. | 2024-07-19 | |
Support Tencent Cloud TCHouse-D federated query of DLC data | Support one-click enabling lakehouse integration functionality through the Tencent Cloud TCHouse-D console. Once enabled, Tencent Cloud TCHouse-D can directly query DLC internal managed data without the need to replicate data or build external tables. | 2024-07-19 |
June 2024
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Newly-added insight management feature | Perform detailed insight analysis on the parallelism, scheduling situation, and tasks of the spark cluster to improve tuning efficiency. Enhance the overall running status observability of the spark engine, and provide insight metrics such as: engine resource usage, engine execution duration, data scan size, and data shuffle size. Add new spark task insight functionality, providing insight metrics such as: resource preemption, shuffle anomaly, insufficient disk space, slow task. | 2024-06-07 |
May 2024
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Optimize the standard engine module (gray version) | Supports the standard Presto and Spark engine (gray version) based on Kyuubi unified gateway. Add new standard engine configurations in the feature layer. The specifications are as follows: Monthly Subscription and pay-as-you-go standard engine supporting Presto native syntax Monthly Subscription and pay-as-you-go standard engine supporting Spark native syntax | 2024-05-08 | |
Newly-added SuperSQL spark Engine Version 3.5 | spark Job engine and SparkSQL engine in Superset support Version 3.5 (gray version) | 2024-05-13 | - |
Support Python to register UDF | Support Python UDF registration for SuperSQL Spark 3.2 cluster | 2024-05-21 |
April 2024
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Support insight into Iceberg native tables | Enrich Iceberg native table data governance configuration items and support visualization insight optimization results | 2024-04-02 |
December 2023
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Expand the scope of function support | Add new support for multiple functions | 2023-12-08 |
November 2023
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Upgrade data optimization feature | Added support for batch clusters to perform data governance | 2023-11-29 | - |
Add new standard engine module (gray version) | Supports the standard Presto and Spark engine (gray version) based on kyuubi unified gateway. Add new standard engine configurations in the feature layer. The specifications are as follows: Monthly Subscription standard engine supporting Presto native syntax Monthly Subscription standard Spark SQL engine supporting Spark native syntax | 2023-11-16 | - |
October 2023
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Product Experience Optimization | Optimize the feature of returning error codes, update more error code types and operational recommendations Optimized the workbench overview page to help new users activate product permissions better. Data exploration: Optimize the product experience of SQL editor Optimize the experience of permission management function: integrate the engine permission and database and table permission configuration links, and enhance the perception of the feature permission configuration link after adding members. | 2023-10-17 | - |
Add default engine operation class permissions | Targeting the engine, permission is granted to select the default open: operation permissions of the engine. Involve: operate, monitor, use. | 2023-10-17 | - |
September 2023
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Performance Optimization | Governance optimization targeting slow queries and slow APIs | 2023-09-15 | - |
Metadata Acceleration Bucket | Metadata Acceleration Bucket Permission Supports Binding to Oceanus | 2023-09-15 | |
Data job supports packaging custom image. | When creating a job, users are allowed to package a custom image on the basis of a basic image. | 2023-09-15 | - |
August 2023
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Elastic resources are supported across multi-AZs by default. | Elastic resources are supported across multi-AZs by default. Resources are more stable when pulled up, with stronger disaster recovery capability. | 2023-08-10 | - |
Default parameters of the optimization engine | Optimize parameters take effect priority. Data exploration supports using engine default parameters. | 2023-08-10 | |
Support destroying managed storage | Support users through the console to destroy managed storage on their own. | 2023-08-10 | |
Optimized Spark Job business log | Show more info in Spark Job business log | 2023-08-10 | - |
Support TDLC Command Line Tool | Submit tasks via TCCLI. Support Spark submit. | 2023-08-10 |
July 2023
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Query script supports finer-grained permission control. | Support controlling the visibility of query scripts for different users. | 2023-07-05 | |
Spark job can be configured with engine dimension parameters. | Support configuring engine dimension parameters. Submitted tasks can refer to engine dimension parameters. | 2023-07-05 | |
Optimized service gateway | Improved Overall Stability | 2023-07-05 | - |
Optimization engine elastic scaling rules | Reduce scenarios of frequent scale-in. The process of engine auto scaling will be smoother. | 2023-07-05 | |
Optimize the metadata acceleration bucket binding process | Optimize the metadata acceleration bucket binding process and reduce the threshold for use. | 2023-07-05 |
June 2023
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Supports viewing statistical data of SQL execution results. | Supports viewing Cache Hit effect, materialized view rewrite status, phase duration, and other data. | 2023-06-20 | |
Support result cache. | Support result cache. It has an obvious acceleration effect in the repetition of the same query scenario. | 2023-06-20 | |
Support materialized view. | Support materialized views to improve query performance. | 2023-06-20 | - |
Presto engine supports running mode. | Presto engine supports two running modes: fast and full. | 2023-06-20 |
May 2023
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Enhancement of data governance capability | Comprehensively enhance the stability and capacity of small file merging and expired snapshot deletion. Optimize governance rules to support easier data governance configuration. | 2023-05-16 | |
Productize Iceberg Upsert Bloom Filter and Bucketing Best Practice | In Iceberg V2 Upsert scenarios, supports configuration of Upsert primary keys, and optimize automatically Bloom Filter and Bucketing rules. | 2023-05-16 | - |
Optimization of the permission binding process for metadata acceleration buckets | Support the creation/destruction of engines and automatic binding/unbinding of metadata acceleration buckets. | 2023-05-16 | - |
Optimization of the permission guide for new users to get started | Provide permission checks when new users explore data, optimizing the user experience for new users. | 2023-05-16 | - |
April 2023
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Spark Job Engine supports SQL capability optimization. | Complement the download capability and log capability of the Spark Job Engine for running SQL, enhancing the experience and stability. | 2023-04-20 | - |
Monthly Subscription of Spark Job Engine supports elastic configuration. | Monthly Subscription of Spark Job Engine supports elastic configuration to meet the diverse elastic resource needs of the business. | 2023-04-20 | - |
March 2023
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Native table managed storage commercialization | Native table managed storage officially commercially charged. For details on specific billing modes, see Billing Overview. | 2023-03-15 | |
Supports configuring a disaster recovery cluster. | Spark, SparkSQL, and Presto clusters all support configuring a disaster recovery cluster. This configuration item is off by default. If needed, it can be manually enabled. | 2023-03-15 | - |
Data permission optimization | Data exploration tasks support configuring exclusive or shared. Exclusive tasks are only visible to developers and administrators. | 2023-03-15 | - |
Support row-level permissions | Support setting row-level permissions for a single table to meet the scenario demand of customers for refined data permission management. For example, users in Shanghai can only see the data of "Region = Shanghai". | 2023-03-15 | - |
Table association optimization | Interactive data exploration supports association of libraries, tables, and column names. | 2023-03-15 | - |
Engine capability enhancement | Iceberg version upgrade to 1.1.0 | 2023-03-15 | - |
Enhancement of monitoring and alarm capabilities | Supports viewing the usage of cluster resource pools, with data refreshing granularity accurate to the minute; supports exporting monitoring results. | 2023-03-15 | - |
Performance Optimization | Optimization of cold startup duration for monthly subscription clusters | 2023-03-15 | - |
February 2023
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Support running Spark SQL through Spark cluster | Explore data, you can choose a Spark cluster as a data engine to run a query job. When choosing a Spark cluster, you need to allocate execution resources for task distribution. | 2023-02-24 | - |
Spark engine capability enhancement | Spark cluster supports dynamic resource allocation; Spark engine parameters can be configured in an open manner. | 2023-02-24 | - |
Data engine performance optimization | Engine auto-suspend optimization; Optimization of startup duration for monthly subscription clusters | 2023-02-24 | - |
Support federated PostgreSQL. | Support registration of PostgreSQL data directory and federated query of PostgreSQL data. | 2023-02-24 | - |
Support encryption in data computing processes. | The SparkSQL engine supports configuring sse-cos and sse-kms encryption. After turning on the encryption switch, data will be encrypted when performing data analysis and writing with this engine. (Note: Encryption causes performance degradation. It is recommended to enable it in scenarios with sensitive data.) | 2023-02-24 | - |
January 2023
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Query Performance Optimization | Optimize the SQL execution link of the Presto engine, supporting synchronous query mode (advisable for scenarios with small data volume and low delay). In synchronous query mode, results are not written to COS but returned directly from the engine, reducing query time by over 50%. | 2023-01-13 | - |
User experience optimization | Data exploration supports directory tree, library, and table search. | 2023-01-13 | - |
Optimization of cluster startup time consumption | Cluster startup time optimization, average startup duration reduced by 50% | 2023-01-13 | - |
December 2022
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Native tables support asynchronous data deletion. | When deleting a native table, in addition to deleting metadata, the underlying data will also be deleted. An asynchronous data deletion mechanism is added to avoid excessive waiting time. | 2022-12-30 | - |
Monthly Subscription Clusters support friendly restart. | Support restarting monthly subscription clusters on the data engine page. Restart will interrupt jobs running on the current engine. | 2022-12-30 | - |
Support more diverse cluster rules. | Spark engine supports cluster specification of 1:8 CU (This feature is in internal testing currently. If you want to experience it, please submit a ticket to apply). | 2022-12-30 | - |
Enhancement of Ops Capability | Spark job supports log filtering and downloading. | 2022-12-30 | - |
Enhancement of Spark job capability | Besides Python3, Spark job also supports Python 2.7. | 2022-12-30 | - |
Wedata connectivity experience optimization | Connect user permissions of both parties, optimize operation experience (users do not need to additionally input user key information when registering a data source in Wedata) Wedata seamless integration with DLC data exploration capacity | 2022-12-30 | - |
November 2022
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Native tables support data governance. | After enabling the native table, you can configure data governance policies for databases and data tables. It supports four types of operations: small file merging, expired snapshot deletion, orphaned file deletion, and metadata consolidation. After completing the policy configuration, the trigger conditions can automatically conduct data governance. | 2022-11-25 | |
Preview data with the option of SparkSQL engine. | In data management, when previewing a table, you can select the SparkSQL engine in addition to the Presto engine. | 2022-11-25 | - |
SparkSQL supports customization of the maximum timeout duration. | SparkSQL can set the maximum job execution timeout with the parameter dlc.query.execution.timeout in the SQL compilation box. | 2022-11-25 | - |
Supports multi-version management of data engines. | Add multi-version management for Spark, SparkSQL, and Presto engines, support users to manually upgrade and rollback versions. | 2022-11-25 | - |
Enhanced function capability | Added support for functions such as MAP_UNION_SUM, MAP_UNION. | 2022-11-25 | - |
Optimization of COS read and write request fees | Optimize COS read/write and shard strategies to reduce the problem of excessive COS read/write requests caused by too many small files and reduce relevant fees. | 2022-11-25 | - |
October 2022
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Export Query Results Optimization | Add encoding options when exporting CSV, compatible with common software such as Excel | 2022-10-26 | |
Support Notebook | Notebook support, tool support for Zeppelin, Jupyter, etc. to directly connect to DLC | 2022-10-26 | - |
Support Hudi tables | Support Hudi table creation and querying through SparkSQL, and provide more data table format support. | 2022-10-26 | - |
Query Performance Optimization | Presto exclusive engine performance optimization, supports segment result cache, dynamic filtering, cache optimization, providing data tasks with an acceleration effect of more than 10 times. | 2022-10-26 | - |
Native tables are fully launched. | DLC native tables are fully launched, supporting storing data in DLC native tables and providing more convenient data storage services. | 2022-10-26 | The billing of native tables is subject to the COS service billing. Customers who were enabled through the allowlist in the past will not be charged for the time being. Subsequent commercial billing solutions will be notified through the customer base and message center notifications. |
Support purchasing larger-scale clusters. | Support purchasing clusters exceeding 1024 CU, offering more engine specification options for actual production demands. | 2022-10-26 | To purchase large-scale clusters, to prevent insufficient resources, please contact us by submitting a ticket to reserve resources in advance. |
Support PrestoUI | Supports viewing PrestoUI, analyzing cluster resource usage, as well as specific SQL task resource usage. | 2022-10-26 | - |
September 2022
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Enhancement of Monitoring and Alarm Capabilities | Integrate with Tencent Cloud Observability Platform (TCOP). Support configuring DLC data engine and data job monitoring and alerts through TCOP. | 2022-09-30 | |
Support log audit. | Docking operation with CloudAudit. Support auditing and viewing operation logs. | 2022-09-30 | |
Added support for data engine network configuration | Support unified management of the network VPC of data engines. | 2022-09-06 | |
SparkSQL kernel supports federated query analysis. | Support using the SparkSQL kernel engine to perform cross-origin federated query analysis. | 2022-09-06 | - |
New additions of data source support for federated query analysis | Add new data source support for PostgreSQL, SQL Server and ClickHouse in federated query analysis. | 2022-09-06 | - |
The data engine auto-suspend supports the configuration activation rule. | Support configuring minute-level suspension response rules for pay-as-you-go data engines. | 2022-09-06 |
August 2022
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Support international site | Support international site: Eastern United States - Silicon Valley, Singapore region | 2022-08-30 | |
Support Shanghai Financial Zone | Support purchasing resources in Shanghai Financial Zone. | 2022-08-30 | |
Presto Query Performance Enhancement | Presto supports RaptorX precomputation, significantly accelerating analysis performance. | 2022-08-30 | - |
WeData metadata information connection | Support viewing DLC metadata information and data lineage information through WeData | 2022-08-30 | - |
Support InLong real-time import. | Support real-time import and file governance of data through InLong | 2022-08-30 | - |
July 2022
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Support Lingguang BI | When using Lingguang BI, you can use DLC as a data source to perform BI analysis on query results. | 2022-07-21 | - |
New additions of data source support for federated query analysis | Add new CHDFS data source support | 2022-07-21 | - |
Data jobs support multiple task instances. | Data jobs support concurrent running of multiple task instances. | 2022-07-21 | - |
New kernel parameter configuration added for data exploration | Support session parameter configuration for SparkSQL and Presto kernels. | 2022-07-13 | |
Presto built-in function support | Supports the use of Presto built-in functions. | 2022-07-13 | |
Expand the scope of function support | Add new support for multiple functions | 2022-07-13 |
June 2022
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Data jobs support PySpark. | Data jobs support PySpark for data modeling analysis and data science applications. | 2022-06-29 | |
Presto engine upgrade | Reuse intermediate computing results during the query through RaptorX by leveraging Fragment Cache to accelerate aggregate queries and improve aggregate query performance. | 2022-06-29 | - |
Spark engine upgrade | Upgrade Spark3.2 Support dynamic partition push down for Iceberg tables | 2022-06-29 | - |
Iceberg feature upgrade | Iceberg tables support metadata queries such as Snapshot, History, Manifest, and Partitions. Call syntax supports snapshot management, metadata management. | 2022-06-29 | - |
May 2022
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Federation query enhancement | Federated analysis data source support: emr-cos, emr-hdfs, chdfs; support hive2.X, hive3.X versions | 2022-05-31 | - |
Support fusion bucket acceleration | Support COS fusion bucket acceleration to improve query analysis performance | 2022-05-31 | |
Fusion WeData supports offline integration and task scheduling. | Fusion WeData realizes data integration capabilities, quickly connects and fuses various self-built data on or off the cloud, achieves offline integration of multi-source data, realizes data development and operation and maintenance in complex scenarios, and performs scheduling of complex tasks. | 2022-05-23 | - |
Data job | Support the creation of Spark job clusters. Can submit Spark jar, Spark streaming. Support the creation of scheduling tasks for Spark jobs. | 2022-05-19 | |
| Support Spark UI | 2022-05-19 | - |
Support lightweight level task scheduling. | Support creating scheduling tasks and managing scheduling plans. | 2022-05-10 | |
March 2022
Dynamic Name | Dynamic Description | Release Time | Related Documentation |
Data engine supports monthly subscribed purchase. | Support purchasing a dedicated cluster by monthly subscription. | 2022-03-31 | |
Privilege Escalation | Support fine-grained permission control for data and engines under centralized management, and support view, function, engine permission management, and administrator user type. | 2022-03-16 | |
API upgrade | Support offline import and export of COS data. | 2022-03-16 | |
Experience upgrade | New usage overview and use guidance | 2022-03-16 | - |
Query Performance Upgrade | The exclusive cluster supports Presto + Alluxio adaptive, enhancing Ad-hoc query speed. | 2022-03-16 | - |
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