diff --git a/docs/content.zh/docs/dev/table/sql/gettingStarted.md b/docs/content.zh/docs/dev/table/sql/gettingStarted.md
index 17ee4f11bc27a..d529fc6057536 100644
--- a/docs/content.zh/docs/dev/table/sql/gettingStarted.md
+++ b/docs/content.zh/docs/dev/table/sql/gettingStarted.md
@@ -105,7 +105,7 @@ CREATE TABLE employee_information (
 例如，我们可以过滤出只在部门 `1` 中工作的员工。
 
 ```sql
-SELECT * from employee_information WHERE DeptId = 1;
+SELECT * from employee_information WHERE dept_id = 1;
 ``` 
 
 ---------------
@@ -125,7 +125,7 @@ SELECT
 	dept_id,
 	COUNT(*) as emp_count 
 FROM employee_information 
-GROUP BY dep_id;
+GROUP BY dept_id;
  ``` 
 
 这样的查询被认为是 _有状态的_。Flink 的高级容错机制将维持内部状态和一致性，因此即使遇到硬件故障，查询也始终返回正确结果。
diff --git a/docs/content/docs/dev/table/sql/gettingStarted.md b/docs/content/docs/dev/table/sql/gettingStarted.md
index 2c9559c58b36f..2a909d14e2e95 100644
--- a/docs/content/docs/dev/table/sql/gettingStarted.md
+++ b/docs/content/docs/dev/table/sql/gettingStarted.md
@@ -106,7 +106,7 @@ A continuous query can be defined from this table that reads new rows as they ar
 For example, we can filter for just those employees who work in department `1`. 
 
 ```sql
-SELECT * from employee_information WHERE DeptId = 1;
+SELECT * from employee_information WHERE dept_id = 1;
 ``` 
 
 ---------------
@@ -126,7 +126,7 @@ SELECT
 	dept_id,
 	COUNT(*) as emp_count 
 FROM employee_information 
-GROUP BY dep_id;
+GROUP BY dept_id;
  ``` 
 
 Such queries are considered _stateful_. Flink's advanced fault-tolerance mechanism will maintain internal state and consistency, so queries always return the correct result, even in the face of hardware failure.