From cd26721f525e9bb5bc37ce3397aa62c45c807f1f Mon Sep 17 00:00:00 2001 From: Simon Guan Date: Wed, 11 Mar 2026 16:17:42 +0800 Subject: [PATCH] docs: update roadmap --- docs/en/29-roadmap/index.md | 8 ++++---- docs/zh/29-roadmap/index.md | 8 ++++---- 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/docs/en/29-roadmap/index.md b/docs/en/29-roadmap/index.md index b8002b729199..28c5dbc5b4b9 100644 --- a/docs/en/29-roadmap/index.md +++ b/docs/en/29-roadmap/index.md @@ -6,7 +6,7 @@ The 2026 roadmap for TDengine OSS is described in the following table. | Quarter | Feature | | :----- | :----- | -| 2026Q1 |
  1. Storage: batch tag modification, dynamic adjustment of last cache LRU
  2. Query: subqueries, external windows, ANY/SOME/ALL/EXISTS operators, window and interpolation enhancements, Explain and Show Queries optimization
  3. Virtual Tables: virtual tables support referencing virtual tables, virtual table query performance optimization, subscription to virtual table metadata changes
  4. Stream: triggering by natural week/month/quarter/year, event trigger condition optimization, grouped computation performance optimization, virtual supertable triggering supports child table additions/deletions/modifications
| -| 2026Q2 |
  1. Storage: multi-replica leader switching and node recovery optimization, last cache optimization (such as forced refresh, multi-column write optimization, specified column caching)
  2. Query: join queries, relaxed window query restrictions, time windows support week/month/quarter/year, Interp performance improvement
  3. Functions: window functions and OVER clause
  4. Virtual Tables: support for virtual table inheritance, virtual supertable column name modification
  5. Stream: performance optimization for multiple customer scenarios, performance optimization for multi-measurement point scenarios, historical computation performance optimization, virtual table triggering performance optimization
  6. Others: TDgpt predictive maintenance, minute-level timezone support
| -| 2026Q3 |
  1. Query: complex query performance optimization, scalar correlated subqueries, cumulative windows, further enhancement of join queries, SQL testing tools
  2. Functions: 15 customer-requested functions
  3. Virtual Tables: subscription to virtual table data through continuous queries
  4. Stream: maintainability improvement
  5. Others: TDgpt supports PCA, PLS, cluster analysis
| -| 2026Q4 |
  1. TEXT data type, variable-length string data type, database name modification, column name modification
  2. Query: query parallelization, addition of observability metrics
  3. Functions: support for MySQL operators and functions, UDF function framework refactoring
  4. Others: engine CPU and memory management
| +| 2026Q1 |
  1. Storage: batch tag modification, dynamic adjustment of last cache LRU
  2. Query: subqueries, external windows, ANY/SOME/ALL/EXISTS operators, window and interpolation enhancements, Explain and ShowQueries optimization
  3. Virtual Tables: virtual table query performance optimization, subscription to virtual table metadata changes, validation of references between virtual tables and source tables
  4. Stream: triggering by natural week/month/quarter/year, true_for conditions for event and state window triggers support duration and count, grouped computation performance optimization, virtual supertable triggering supports child table additions/deletions/modifications
| +| 2026Q2 |
  1. Storage: multi-replica leader switching and node recovery optimization, last cache optimization (such as forced refresh, multi-column write optimization, specified column caching)
  2. Query: federated query demo version, relaxed window query restrictions, time windows support week/month/quarter/year, Interp performance improvement
  3. Functions: window functions and OVER clause
  4. Virtual Tables: virtual table inheritance, virtual tables referencing virtual tables, virtual supertable column name modification
  5. Stream: performance optimization for multiple customer scenarios, performance optimization for multi-measurement point scenarios, historical computation performance optimization, virtual table triggering performance optimization
  6. TDgpt: model lifecycle management, predictive maintenance, minute-level timezone support
| +| 2026Q3 |
  1. Storage: improved data splitting and migration performance, data reorganization without affecting writes, disk rate limiting
  2. Query: official release of federated queries, complex query performance optimization, scalar correlated subqueries, cumulative windows, SQL testing tools
  3. Functions: 15 customer-requested functions
  4. Virtual Tables: subscription to virtual table data through continuous queries
  5. Stream: maintainability improvement
  6. Others: TDgpt supports PCA, PLS, cluster analysis
| +| 2026Q4 |
  1. Storage: full and incremental backup, TEXT data type, variable-length string data type, database name modification, column name modification
  2. Query: further enhancement of join queries, query parallelization, addition of observability metrics
  3. Functions: support for MySQL operators and functions, UDF function framework refactoring
  4. Others: engine CPU and memory management
| diff --git a/docs/zh/29-roadmap/index.md b/docs/zh/29-roadmap/index.md index aa9afa15f908..1895011285f4 100644 --- a/docs/zh/29-roadmap/index.md +++ b/docs/zh/29-roadmap/index.md @@ -6,7 +6,7 @@ TDengine TSDB OSS 之 2026 年年度路线图如下表所示。 | 季度 | 功能 | | :----- | :----- | -| 2026Q1 |
  1. 存储：批量标签修改、动态调整数据缓存的 LRU
  2. 查询：子查询、外部窗口、ANY/SOME/ALL/EXISTS 运算符、窗口及插值增强、Explain 和 Show Queries 优化
  3. 虚拟表：虚拟表支持引用虚拟表、虚拟表查询性能优化、订阅虚拟表的元数据变更
  4. 流计算：按自然周/月/季/年触发、事件触发条件优化、分组计算性能优化、虚拟超级表触发支持子表增删改
| -| 2026Q2 |
  1. 存储：多副本切主和节点恢复优化、数据缓存优化（如强制刷新、多列写入优化、指定列缓存）
  2. 查询：关联查询，放宽窗口查询限制、时间窗口支持周/月/季/年、Interp 性能提升
  3. 函数：窗口函数及 OVER 字句
  4. 虚拟表：支持虚拟表继承、虚拟超级表列名修改
  5. 流计算：多个客户场景性能优化、多测点场景性能优化、历史计算性能优化、虚拟表触发性能优化
  6. 其他：TDgpt 预测性维护、分钟级时区
| -| 2026Q3 |
  1. 查询：复杂查询性能优化、标量相关子查询、累计窗口、关联查询进一步增强、SQL 测试工具
  2. 函数：15 个客户需要的函数
  3. 虚拟表：通过连续查询订阅虚拟表数据
  4. 流计算：可维护性提升
  5. 其他：TDgpt 支持 PCA、PLS、聚类分析
| -| 2026Q4 |
  1. 存储：TEXT 数据类型、不定长字符串数据类型、库名修改、列名修改
  2. 查询：查询并行化、增加可观测指标
  3. 函数：支持 MySQL 运算符及函数、UDF 函数框架重构
  4. 其他：引擎的 CPU 和内存管控
| +| 2026Q1 |
  1. 存储：批量标签修改、动态调整数据缓存的 LRU
  2. 查询：子查询、外部窗口、ANY/SOME/ALL/EXISTS 运算符、窗口及插值增强、Explain 和 Show Queries 优化
  3. 虚拟表：虚拟超级表查询性能优化、订阅虚拟表的元数据变更、虚拟表和源表的引用校验
  4. 流计算：按自然周/月/季/年触发、事件和状态窗口触发的 true_for 条件支持持续时间与条数、分组计算性能优化、虚拟超级表触发支持子表增删改
| +| 2026Q2 |
  1. 存储：多副本切主和节点恢复优化、数据缓存优化（如强制刷新、多列写入优化、指定列缓存）
  2. 查询：联合查询演示版本，放宽窗口查询限制、时间窗口支持周/月/季/年、Interp 性能提升
  3. 函数：窗口函数及 OVER 字句
  4. 虚拟表：虚拟表继承、虚拟表引用虚拟表、虚拟超级表列名修改
  5. 流计算：多个客户场景性能优化、多测点场景性能优化、历史计算性能优化、虚拟表触发性能优化
  6. TDgpt：模型生命周期管理、预测性维护、分钟级时区
| +| 2026Q3 |
  1. 存储：提升数据拆分和移动的性能、数据重整不影响写入、磁盘限速
  2. 查询：联合查询正式发布、复杂查询性能优化、标量相关子查询、累计窗口、SQL 测试工具
  3. 函数：15 个客户需要的函数
  4. 虚拟表：通过连续查询订阅虚拟表数据
  5. 流计算：可维护性提升
  6. 其他：TDgpt 支持 PCA、PLS、聚类分析
| +| 2026Q4 |
  1. 存储：全量与增量备份、TEXT 数据类型、不定长字符串数据类型、库名修改、列名修改
  2. 查询：关联查询进一步增强、查询并行化、增加可观测指标
  3. 函数：支持 MySQL 运算符及函数、UDF 函数框架重构
  4. 其他：引擎的 CPU 和内存管控
|