diff --git a/ticdc/ticdc-upstream-downstream-check.md b/ticdc/ticdc-upstream-downstream-check.md
index 6493a591fb459..eac6209281543 100644
--- a/ticdc/ticdc-upstream-downstream-check.md
+++ b/ticdc/ticdc-upstream-downstream-check.md
@@ -59,7 +59,7 @@ select * from tidb_cdc.syncpoint_v1;
 +------------------+----------------+--------------------+--------------------+---------------------+
 | ticdc_cluster_id | changefeed     | primary_ts         | secondary_ts       | created_at          |
 +------------------+----------------+--------------------+--------------------+---------------------+
-| default          | test-2 | 435953225454059520 | 435953235516456963 | 2022-09-13 08:40:15 |
+| default          | test-2         | 435953225454059520 | 435953235516456963 | 2022-09-13 08:40:15 |
 +------------------+----------------+--------------------+--------------------+---------------------+
 ```
 
@@ -103,4 +103,4 @@ Here is a configuration example of the `Datasource config` section:
     - Whenever TiCDC generates a new `primary_ts`, its value must be an integer multiple of `sync-point-interval`.
     - For each new changefeed, TiCDC calculates an initial `primary_ts`. This initial value is greater than or equal to the changefeed start time (`startTs`), and is the smallest integer multiple of `sync-point-interval`.
 
-  This setting is used to align the Syncpoints of different changefeeds during data replication. For example, multiple downstream clusters can restore to the `secondary_ts` of a Syncpoint with the same `primary_ts` by executing the [`FLASHBACK TABLE`](/sql-statements/sql-statement-flashback-table.md) statement, achieving data consistency across downstream clusters.
\ No newline at end of file
+  This setting is used to align the Syncpoints of different changefeeds during data replication. For example, multiple downstream clusters can restore to the `secondary_ts` of a Syncpoint with the same `primary_ts` by executing the [`FLASHBACK TABLE`](/sql-statements/sql-statement-flashback-table.md) statement, achieving data consistency across downstream clusters.