update MD by dispatch event pingcap/docs feature/preview-cloud-lake

Author: github-actions

markdown-pages/en/tidb/release-8.5/tidb-cloud-lake/guides/aggregating-index.md

@@ -124,12 +124,14 @@ EXPLAIN SELECT MIN(a), MAX(c) FROM agg;
 ## Important Notes
 
 **When to Use Aggregating Indexes:**
+
 - Frequent analytical queries (dashboards, reports)
 - Large datasets with repeated aggregations
 - Stable query patterns
 - Performance-critical applications
 
 **When NOT to Use:**
+
 - Frequently changing data
 - One-time analytical queries
 - Simple queries on small tables

markdown-pages/en/tidb/release-8.5/tidb-cloud-lake/guides/audit-trail.md

@@ -8,6 +8,7 @@ summary: Databend system history tables automatically capture detailed records o
 Databend system history tables automatically capture detailed records of database activities, providing a complete audit trail for compliance and security monitoring.
 
 Allows the auditing of the user:
+
 - **Query execution** - Complete SQL execution audit trail (`query_history`)
 - **Data access** - Database object access and modifications (`access_history`)
 - **Authentication** - Login attempts and session tracking (`login_history`)
@@ -39,6 +40,7 @@ ORDER BY event_time DESC;
 ```
 
 Example output:
+
 ```
 event_time: 2025-06-03 06:07:32.512021
 user_name: root1
@@ -61,6 +63,7 @@ ORDER BY query_start DESC;
 ```
 
 Example for `CREATE TABLE` operation:
+
 ```
 query_id: c2c1c7be-cee4-4868-a28e-8862b122c365
 query_start: 2025-06-12 03:31:19.042128
@@ -95,6 +98,7 @@ ORDER BY query_start_time DESC;
 ```
 
 Example output:
+
 ```
 query_id: 4e1f50a9-bce2-45cc-86e4-c7a36b9b8d43
 sql_user: root

markdown-pages/en/tidb/release-8.5/tidb-cloud-lake/guides/authenticate-with-aws-iam-role.md

@@ -26,7 +26,7 @@ After Databend Cloud support shares the trusted principal information for your o
 
 2. Goto AWS Console:
 
-   https://us-east-2.console.aws.amazon.com/iam/home?region=us-east-2#/policies
+   <https://us-east-2.console.aws.amazon.com/iam/home?region=us-east-2#/policies>
 
    Click `Create policy`, and select `Custom trust policy`, and input the policy document for S3 bucket access:
 
@@ -52,7 +52,7 @@ After Databend Cloud support shares the trusted principal information for your o
 
 3. Goto AWS Console:
 
-   https://us-east-2.console.aws.amazon.com/iam/home?region=us-east-2#/roles
+   <https://us-east-2.console.aws.amazon.com/iam/home?region=us-east-2#/roles>
 
    Click `Create role`, and select `Custom trust policy` in `Trusted entity type`:
 

markdown-pages/en/tidb/release-8.5/tidb-cloud-lake/guides/automate-data-loading-with-tasks.md

@@ -10,33 +10,42 @@ Tasks wrap SQL so Databend can run it for you on a schedule or when a condition
 ![alt text](https://docs-download.pingcap.com/media/images/docs/tidb-cloud-lake/task.png)
 
 - **Name & warehouse** – every task needs a warehouse.
+
     ```sql
     CREATE TASK ingest_orders
     WAREHOUSE = 'etl_wh'
     AS SELECT 1;
     ```
+
 - **Trigger** – fixed interval, CRON, or `AFTER another_task`.
+
     ```sql
     CREATE TASK mytask
     WAREHOUSE = 'default'
     SCHEDULE = 2 MINUTE
     AS ...;
     ```
+
 - **Guards** – only run when a predicate is true.
+
     ```sql
     CREATE TASK mytask
     WAREHOUSE = 'default'
     WHEN STREAM_STATUS('mystream') = TRUE
     AS ...;
     ```
+
 - **Error handling** – pause after N failures or send notifications.
+
     ```sql
     CREATE TASK mytask
     WAREHOUSE = 'default'
     SUSPEND_TASK_AFTER_NUM_FAILURES = 3
     AS ...;
     ```
+
 - **SQL payload** – whatever you place after `AS` is what the task executes.
+
     ```sql
     CREATE TASK bump_age
     WAREHOUSE = 'default'

markdown-pages/en/tidb/release-8.5/tidb-cloud-lake/guides/cluster-key-performance.md

@@ -25,12 +25,14 @@ Large tables without proper organization create significant performance and main
 ## Benefits of Automatic Clustering
 
 **Ease-of-Maintenance**: Databend eliminates the need for:
+
 - Monitoring the state of clustered tables
 - Manually triggering re-clustering operations
 - Designating compute resources for clustering
 - Scheduling maintenance windows
 
 **How it Works**: After you define a cluster key, Databend automatically:
+
 - Monitors table changes from DML operations
 - Evaluates when tables would benefit from re-clustering
 - Performs background clustering optimization
@@ -114,6 +116,7 @@ ALTER TABLE your_table RECLUSTER;
 ## Performance Tuning
 
 ### Custom Block Size
+
 Adjust block size for better performance:
 
 ```sql
@@ -125,6 +128,7 @@ ALTER TABLE sales SET OPTIONS(
 ```
 
 ### Automatic Re-clustering
+
 - `COPY INTO` and `REPLACE INTO` automatically trigger re-clustering
 - Monitor clustering metrics regularly
 - Re-cluster when `average_depth` becomes too high
@@ -142,12 +146,14 @@ ALTER TABLE sales SET OPTIONS(
 ## Important Notes
 
 **When to Use Cluster Keys:**
+
 - Large tables (millions+ rows)
 - Slow query performance
 - Frequent filter-based queries
 - Analytical workloads
 
 **When NOT to Use:**
+
 - Small tables
 - Random access patterns
 - Frequently changing data

markdown-pages/en/tidb/release-8.5/tidb-cloud-lake/guides/connect-using-bendsql.md

@@ -460,7 +460,7 @@ root,%,no_password,YES,account_admin,false
 // highlight-next-line
 root@localhost:8000/default> !set output_format tsv
 root@localhost:8000/default> show users;
-root	%	no_password	YES	account_admin	false
+root % no_password YES account_admin false
 1 row read in 0.076 sec. Processed 1 row, 113 B (13.16 rows/s, 1.45 KiB/s)
 
 // highlight-next-line

markdown-pages/en/tidb/release-8.5/tidb-cloud-lake/guides/connect-using-java.md

@@ -115,6 +115,7 @@ conn.close();
 ## Configuration Reference
 
 For complete databend-jdbc driver configuration options including:
+
 - Connection string parameters
 - SSL/TLS configuration
 - Authentication methods

markdown-pages/en/tidb/release-8.5/tidb-cloud-lake/guides/connect-using-python.md

@@ -23,6 +23,7 @@ Choose your preferred approach:
 ## databend-driver (Recommended)
 
 ### Features
+
 - ✅ **Native Performance**: Direct connection to Databend
 - ✅ **Async/Sync Support**: Choose your programming style
 - ✅ **PEP 249 Compatible**: Standard Python DB API

markdown-pages/en/tidb/release-8.5/tidb-cloud-lake/guides/connect-using-rust.md

@@ -32,6 +32,7 @@ tokio = { version = "1", features = ["full"] }
 ## Data Type Mappings
 
 ### Basic Types
+
 | Databend  | Rust                  | Notes                    |
 | --------- | --------------------- | ------------------------ |
 | BOOLEAN   | bool                  |                          |
@@ -46,12 +47,14 @@ tokio = { version = "1", features = ["full"] }
 | BINARY    | `Vec<u8>`             |                          |
 
 ### Date/Time Types
+
 | Databend  | Rust                  | Notes                    |
 | --------- | --------------------- | ------------------------ |
 | DATE      | chrono::NaiveDate     | Requires chrono crate    |
 | TIMESTAMP | chrono::NaiveDateTime | Requires chrono crate    |
 
 ### Complex Types
+
 | Databend    | Rust            | Notes                    |
 | ----------- | --------------- | ------------------------ |
 | ARRAY[T]    | `Vec<T>`        | Nested arrays supported  |

markdown-pages/en/tidb/release-8.5/tidb-cloud-lake/guides/connect-with-aws-privatelink.md

@@ -40,7 +40,7 @@ After Databend Cloud approves the cloud account or project you plan to connect,
 
 5. Goto AWS Console:
 
-   https://us-east-2.console.aws.amazon.com/vpcconsole/home?region=us-east-2#Endpoints:
+   <https://us-east-2.console.aws.amazon.com/vpcconsole/home?region=us-east-2#Endpoints>:
 
    Click `Create endpoint`: