This is an automated email from the ASF dual-hosted git repository.
shaofengshi pushed a commit to branch document
in repository https://gitbox.apache.org/repos/asf/kylin.git
The following commit(s) were added to refs/heads/document by this push:
new a112e7a update roadmap
a112e7a is described below
commit a112e7a365d4138639cc67e00ef625d74533b825
Author: shaofengshi <shaofeng...@apache.org>
AuthorDate: Sat Jun 27 19:42:07 2020 +0800
update roadmap
---
website/_dev/index.cn.md | 15 ++++++++++-----
website/_dev/index.md | 12 +++++++-----
2 files changed, 17 insertions(+), 10 deletions(-)
diff --git a/website/_dev/index.cn.md b/website/_dev/index.cn.md
index 8bca6e0..108f269 100644
--- a/website/_dev/index.cn.md
+++ b/website/_dev/index.cn.md
@@ -26,9 +26,14 @@ Gitbox 的镜像：[https://gitbox.apache.org/repos/asf?p=kylin.git
](https://gi
在 Apache JIRA 上的 "Kylin" 项目追踪
issues（[浏览](http://issues.apache.org/jira/browse/KYLIN))。
### 路线图
-- 支持 Hadoop 3.0（纠偏编码)
-- 完全使用 Spark 的 Cube 引擎
-- 接入更多的源（MySQL，Oracle，Spark SQL 等)
+- 支持 Hadoop 3.0（纠偏编码) ： 完成
+- 完全使用 Spark 的 Cube 引擎 ： 完成
+- 接入更多的源（MySQL，Oracle，Spark SQL 等) ： 完成
+- 支持实时数据分析的 Lambda 架构 ： 完成
+- 更好的存储引擎（Druid，Kudu，Parquet，等) ： Parquet 存储正在开发中(v4.0)
+- 分布式查询执行引擎 ： 与 Parquet 存储一起进行中
+- 容器化/Kubernetes ：进行中
- 无需构建 Cube 的即席查询
-- 更好的存储引擎（Druid，Kudu，等)
-- 支持实时数据分析的 Lambda 架构
+
+
+
diff --git a/website/_dev/index.md b/website/_dev/index.md
index 140ad7c..8793ee2 100644
--- a/website/_dev/index.md
+++ b/website/_dev/index.md
@@ -26,9 +26,11 @@ Static Code Analysis: [SonarCube
dashboard](https://builds.apache.org/analysis/o
Track issues on the "Kylin" Project on the Apache JIRA
([browse](http://issues.apache.org/jira/browse/KYLIN)).
### Roadmap
-- Hadoop 3.0 support (Erasure Coding)
-- Fully on Spark Cube engine
-- Connect more data sources (MySQL, Oracle, SparkSQL, etc)
+- Hadoop 3.0 support (Erasure Coding) : DONE
+- Fully on Spark Cube engine : DONE
+- Connect more data sources (MySQL, Oracle, SparkSQL, etc) : DONE
+- Real-time analytics with Lambda Architecture : DONE
+- Better storage (Druid, Kudu, Parquet, etc) : Parquet storage is in-progress
(v4.0)
+- Distributed query execution engine : Together with Parquet storage
+- Containerlization/Kubernetes : In progress
- Ad-hoc queries without Cubing
-- Better storage (Druid, Kudu, etc)
-- Real-time analytics with Lambda Architecture
