[docs] Add docs for alter table properties

Author: LiebingYu

website/docs/apis/java-client.md

@@ -144,6 +144,17 @@ TableInfo tableInfo = admin.getTableInfo(tablePath).get(); // blocking call
 System.out.println(tableInfo);
 ```
 
+## Altering Tables
+```java
+// set client.connect-timeout to 240s
+TableChange setOption = TableChange.set("client.connect-timeout", "240s");
+// remove client.writer.batch-size
+TableChange resetOption = TableChange.reset("client.writer.batch-size");
+List<TableChange> tableChanges = Arrays.asList(setOption, resetOption);
+// alter table
+admin.alterTable(tablePath, tableChanges, false).get();
+```
+
 ## Table API
 ### Writers
 In order to write data to Fluss tables, first you need to create a Table instance.

website/docs/engine-flink/ddl.md

@@ -209,6 +209,23 @@ CREATE TABLE my_table LIKE datagen (EXCLUDING OPTIONS);
 
 For more details, refer to the [Flink CREATE TABLE](https://nightlies.apache.org/flink/flink-docs-release-1.20/docs/dev/table/sql/create/#like) documentation.
 
+## Alter Table
+
+### Change/Add Table Properties
+
+The following SQL sets `client.connect-timeout` table property to `240s`.
+
+```sql title="Flink SQL"
+ALTER TABLE my_table SET ('client.connect-timeout' = '240s');
+```
+
+### Reset Table Properties
+
+The following SQL removes `client.connect-timeout` table property.
+
+```sql title="Flink SQL"
+ALTER TABLE my_table RESET ('client.connect-timeout');
+```
 
 ## Drop Table
 

website/docs/maintenance/tiered-storage/lakehouse-storage.md

@@ -102,4 +102,11 @@ To enable lakehouse storage for a table, the table must be created with the opti
 Another option `table.datalake.freshness`, allows per-table configuration of data freshness in the datalake.
 It defines the maximum amount of time that the datalake table's content should lag behind updates to the Fluss table. 
 Based on this target freshness, the Fluss tiering service automatically moves data from the Fluss table and updates to the datalake table, so that the data in the datalake table is kept up to date within this target.
-The default is `3min`, if the data does not need to be as fresh, you can specify a longer target freshness time to reduce costs.
+The default is `3min`, if the data does not need to be as fresh, you can specify a longer target freshness time to reduce costs.
+
+## Disable Lakehouse Storage
+
+### Disable Lakehouse Storage Per Table
+
+To disable lakehouse storage for a table, you can set the option 'table.datalake.enabled' = 'false'.
+Note: Currently, once lake storage is disabled for a table, it cannot be enabled again. In the future, repeated disabling and enabling will be supported.