luoyuxia commented on code in PR #2283:
URL: https://github.com/apache/fluss/pull/2283#discussion_r2659279105


##########
website/docs/table-design/data-types.md:
##########
@@ -28,4 +28,6 @@ Fluss has a rich set of native data types available to users. 
All the data types
 | TIMESTAMP_LTZ(p)                                                         | A 
timestamp WITH local time zone `TIMESTAMP WITH LOCAL TIME ZONE` where p is the 
number of digits of fractional seconds (=precision). p must have a value 
between 0 and 9 (both inclusive). <br/>An instance consists of `year-month-day 
hour:minute:second[.fractional]` with up to nanosecond precision and values 
ranging from 0000-01-01 00:00:00.000000000 to 9999-12-31 23:59:59.999999999. 
<br/> Compared to the SQL standard, leap seconds (23:59:60 and 23:59:61) are 
not supported as the semantics are closer to java.time.Instant   |
 | BINARY(n)                                                                | A 
fixed-length binary string (=a sequence of bytes) where n is the number of 
bytes. n must have a value between 1 and Integer.MAX_VALUE (both inclusive).    
                                                                                
                                                                                
                                                                                
                                                                                
                                                   |
 | BYTES                                                                    | A 
variable-length binary string (=a sequence of bytes).                           
                                                                                
                                                                                
                                                                                
                                                                                
                                                                                
                                              |
+| ARRAY                                                                    | 
An array of elements with same subtype. Compared to the SQL standard, the 
maximum cardinality of an array cannot be specified but is fixed at 
2,147,483,647. Also, any valid type is supported as a subtype.                  
                                                                                
                                                                                
                                                                                
                                                                  |
+| ROW                                                                      | A 
sequence of fields. A field consists of a field name, field type, and an 
optional description. The most specific type of a row of a table is a row type. 
In this case, each column of the row corresponds to the field of the row type 
that has the same ordinal position as the column. Compared to the SQL standard, 
an optional field description simplifies the handling with complex structures.  
                                                                                
                                                       |

Review Comment:
   dito. I think Paimon doc is a good reference



##########
website/docs/table-design/data-types.md:
##########
@@ -28,4 +28,6 @@ Fluss has a rich set of native data types available to users. 
All the data types
 | TIMESTAMP_LTZ(p)                                                         | A 
timestamp WITH local time zone `TIMESTAMP WITH LOCAL TIME ZONE` where p is the 
number of digits of fractional seconds (=precision). p must have a value 
between 0 and 9 (both inclusive). <br/>An instance consists of `year-month-day 
hour:minute:second[.fractional]` with up to nanosecond precision and values 
ranging from 0000-01-01 00:00:00.000000000 to 9999-12-31 23:59:59.999999999. 
<br/> Compared to the SQL standard, leap seconds (23:59:60 and 23:59:61) are 
not supported as the semantics are closer to java.time.Instant   |
 | BINARY(n)                                                                | A 
fixed-length binary string (=a sequence of bytes) where n is the number of 
bytes. n must have a value between 1 and Integer.MAX_VALUE (both inclusive).    
                                                                                
                                                                                
                                                                                
                                                                                
                                                   |
 | BYTES                                                                    | A 
variable-length binary string (=a sequence of bytes).                           
                                                                                
                                                                                
                                                                                
                                                                                
                                                                                
                                              |
+| ARRAY                                                                    | 
An array of elements with same subtype. Compared to the SQL standard, the 
maximum cardinality of an array cannot be specified but is fixed at 
2,147,483,647. Also, any valid type is supported as a subtype.                  
                                                                                
                                                                                
                                                                                
                                                                  |

Review Comment:
   `ARRAY<t>` ?
   Paimon doc is a good reference 
   https://paimon.apache.org/docs/master/concepts/data-types/



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