Github user fhueske commented on a diff in the pull request:
https://github.com/apache/flink/pull/2919#discussion_r91106487
--- Diff: docs/dev/table_api.md ---
@@ -1470,7 +1470,14 @@ The Table API is built on top of Flink's DataSet and
DataStream API. Internally,
| `Types.INTERVAL_MONTHS`| `INTERVAL YEAR TO MONTH` |
`java.lang.Integer` |
| `Types.INTERVAL_MILLIS`| `INTERVAL DAY TO SECOND(3)` | `java.lang.Long`
|
-Advanced types such as generic types, composite types (e.g. POJOs or
Tuples), and arrays can be fields of a row. Generic types and arrays are
treated as a black box within Table API and SQL yet. Composite types, however,
are fully supported types where fields of a composite type can be accessed
using the `.get()` operator in Table API and dot operator (e.g.
`MyTable.pojoColumn.myField`) in SQL. Composite types can also be flattened
using `.flatten()` in Table API or `MyTable.pojoColumn.*` in SQL.
+
+Advanced types such as generic types, composite types (e.g. POJOs or
Tuples), and array types (object or primitive arrays) can be fields of a row.
+
+Generic types are treated as a black box within Table API and SQL yet.
+
+Composite types, however, are fully supported types where fields of a
composite type can be accessed using the `.get()` operator in Table API and dot
operator (e.g. `MyTable.pojoColumn.myField`) in SQL. Composite types can also
be flattened using `.flatten()` in Table API or `MyTable.pojoColumn.*` in SQL.
+
+Array types can be access using the `myArray.at(1)` operator in Table API
and `myArray[1]` operator in SQL. Array literals can be created using `array(1,
2, 3)` in Table API and `ARRAY[1, 2, 3]` in SQL.
--- End diff --
`can be access` -> `can be accessed`
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