[Document] Add OceanBase to supported list (#13700)

README.md

@@ -31,7 +31,7 @@ The key features for DolphinScheduler are as follows:
   DolphinScheduler uses a decentralized multi-master and multi-worker architecture, which naturally supports horizontal scaling and high availability
 - High performance, its performance is N times faster than other orchestration platform and it can support tens of millions of tasks per day
 - Supports multi-tenancy
-- Supports various task types: Shell, MR, Spark, SQL (MySQL, PostgreSQL, Hive, Spark SQL), Python, Procedure, Sub_Workflow,
+- Supports various task types: Shell, MR, Spark, SQL (MySQL, OceanBase, PostgreSQL, Hive, Spark SQL), Python, Procedure, Sub_Workflow,
   Http, K8s, Jupyter, MLflow, SageMaker, DVC, Pytorch, Amazon EMR, etc
 - Orchestrating workflows and dependencies, you can pause/stop/recover task any time, failed tasks can be set to automatically retry
 - Visualizing the running state of the task in real-time and seeing the task runtime log

README_zh_CN.md

@@ -20,7 +20,7 @@ Dolphin Scheduler Official Website
 其主要目标如下：
 
 - 以 DAG 图的方式将 Task 按照任务的依赖关系关联起来，可实时可视化监控任务的运行状态
-- 支持丰富的任务类型：Shell、MR、Spark、SQL(mysql、postgresql、hive、sparksql)、Python、Sub_Process、Procedure 等
+- 支持丰富的任务类型：Shell、MR、Spark、SQL(mysql、oceanbase、postgresql、hive、sparksql)、Python、Sub_Process、Procedure 等
 - 支持工作流定时调度、依赖调度、手动调度、手动暂停/停止/恢复，同时支持失败重试/告警、从指定节点恢复失败、Kill 任务等操作
 - 支持工作流优先级、任务优先级及任务的故障转移及任务超时告警/失败
 - 支持工作流全局参数及节点自定义参数设置