hanyuzheng7 opened a new pull request, #23173:
URL: https://github.com/apache/flink/pull/23173

   ## What is the purpose of the change
   This is an implementation of ARRAY_EXCEPT function
   ARRAY_EXCEPT(array1, array2) - Returns an array of the elements in array1 
but not in array2, without duplicates.
   
   ## Brief change log
   ARRAY_EXCEPT for Table API and SQL
   
   ## Syntax:
   
   `ARRAY_EXCEPT(array1, array2)`
   
   ## Arguments:
   array: An ARRAY to be handled.
   
   ## Returns: 
   Returns an array of the elements in array1 but not in array2, without 
duplicates.
   
   ## Examples:
   
   ```
   Flink SQL> SELECT array_except(array[1,2,2], array[2,3,4]);
   [1]
   
   Flink SQL> SELECT array_except(array[1,2,2], array[1]);
   [2]
   
   Flink SQL> SELECT array_except(array[1,2,2], array[42]);
   [1, 2]
   
   Flink SQL> SELECT array_except(array[1,2,2], cast(null as array<int>));
   [1, 2]
   
   Flink SQL> SELECT array_except(array[1,2,2], array[null,2]);
   [1]
   
   Flink SQL> SELECT array_except(cast(null as array<int>), array[1,2,3]);
   <NULL>
   
   Flink SQL> SELECT array_except(array[null,null,1], array[42]);
   [NULL, 1]
   
   Flink SQL> SELECT array_except(array[null,null,1], array[null, 42]);
   [1]
   
   Flink SQL> SELECT array_except(array[(TRUE, DATE '2022-04-20'), (TRUE, DATE 
'1990-10-14'), null], array[(TRUE, DATE '1990-10-14')]);
   [(TRUE, 2022-04-20), NULL]
   
   Flink SQL> SELECT array_except(array[(TRUE, DATE '2022-04-20'), (TRUE, DATE 
'1990-10-14'), null], cast(null as array<row<col1 boolean, col2 date>>));
   [(TRUE, 2022-04-20), (TRUE, 1990-10-14), NULL]
   
   Flink SQL> SELECT array_except(array[array[1,null,3], array[0], array[1]], 
array[array[0]]);
   [[1, NULL, 3], [1]]
   
   Flink SQL> SELECT array_except(array[map[1, 'a', 2, 'b'], map[3, 'c', 4, 
'd']], array[map[3, 'c', 4, 'd']]);
   [{1=a, 2=b}]
   
   // Error message with the CommonArrayInputStrategy. Without the 
CommonArrayInputStrategy the output is [1]
   Flink SQL> SELECT array_except(array[1], array['this is a string']);
   [ERROR] Could not execute SQL statement. Reason:
   org.apache.flink.table.api.ValidationException: Could not find a common type 
for arguments: [ARRAY<INT NOT NULL> NOT NULL, ARRAY<CHAR(16) NOT NULL> NOT NULL]
   ```
   
   
   ## Verifying this change
   CollectionFunctionsITCase
   
   ## see also:
   spark:https://spark.apache.org/docs/latest/api/sql/index.html#array_except
   
   ## Does this pull request potentially affect one of the following parts:
   
     - Dependencies (does it add or upgrade a dependency): (yes / no)
     - The public API, i.e., is any changed class annotated with 
`@Public(Evolving)`: (yes / no)
     - The serializers: (yes / no / don't know)
     - The runtime per-record code paths (performance sensitive): (yes / no / 
don't know)
     - Anything that affects deployment or recovery: JobManager (and its 
components), Checkpointing, Kubernetes/Yarn, ZooKeeper: (yes / no / don't know)
     - The S3 file system connector: (yes / no / don't know)
   
   ## Documentation
   
     - Does this pull request introduce a new feature? (yes / no)
     - If yes, how is the feature documented? (not applicable / docs / JavaDocs 
/ not documented)
   


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