[spark] Fix docs, fix bug that spark sort for order should be non-global

docs/content/engines/spark3.md

@@ -441,9 +441,9 @@ This section introduce all available spark procedures about paimon.
     <tbody style="font-size: 12px; ">
     <tr>
       <td>compact</td>
-      <td><nobr>CALL [paimon.]sys.compact('&ltidentifier&gt','&ltpartitions&gt','&ltsort_type&gt','&ltcolumns&gt')</nobr><br>CALL [paimon.]sys.compact(table => '&ltidentifier&gt' [,partitions => '&ltpartitions&gt'] [, order_strategy =>'&ltsort_type&gt'] [,order_by => '&ltcolumns&gt'])</td>
+      <td><nobr>CALL [paimon.]sys.compact(table => '&ltidentifier&gt' [,partitions => '&ltpartitions&gt'] </nobr><br>[, order_strategy =>'&ltsort_type&gt'] [,order_by => '&ltcolumns&gt'])</td>
       <td>identifier: the target table identifier. Cannot be empty.<br><br><nobr>partitions: partition filter. Left empty for all partitions.<br> "," means "AND"<br>";" means "OR"</nobr><br><br>order_strategy: 'order' or 'zorder' or 'none'. Left empty for 'none'. <br><br><nobr>order_columns: the columns need to be sort. Left empty if 'order_strategy' is 'none'. </nobr><br><br>If you want sort compact two partitions date=01 and date=02, you need to write 'date=01;date=02'<br><br>If you want sort one partition with date=01 and day=01, you need to write 'date=01,day=01'</td>
-      <td><nobr>SET spark.sql.shuffle.partitions=10; --set the sort parallelism</nobr> <nobr>CALL paimon.sys.compact('my_db.Orders1','f0=0,f1=1;f0=1,f1=1', 'zorder', 'f1,f2');</nobr><br><nobr>CALL paimon.sys.compact(table => 'T', partitions => 'p=0',  order_strategy => 'zorder', order_by => 'a,b')</nobr></td>
+      <td><nobr>SET spark.sql.shuffle.partitions=10; --set the compact parallelism</nobr><br><nobr>CALL sys.compact(table => 'T', partitions => 'p=0',  order_strategy => 'zorder', order_by => 'a,b')</nobr></td>
     </tr>
     </tbody>
 </table>

paimon-spark/paimon-spark-common/src/main/java/org/apache/paimon/spark/sort/OrderSorter.java

@@ -37,6 +37,6 @@ public OrderSorter(FileStoreTable table, List<String> orderColNames) {
     @Override
     public Dataset<Row> sort(Dataset<Row> input) {
         Column[] sortColumns = orderColNames.stream().map(input::col).toArray(Column[]::new);
-        return input.repartitionByRange(sortColumns).sort(sortColumns);
+        return input.repartitionByRange(sortColumns).sortWithinPartitions(sortColumns);
     }
 }