Revert "[feature](function) add json->operator convert to json_extract (#19899)"
because it conflict with lambda syntax
This reverts commit f54a068d82e88e8535f3ed55a4224886b752e46b.
UNIX_TIMESTAMP function data format parameter supports 'yyyy-MM-dd HH:mm:ss'
The implementation is the same as the date_format function
before:
```sql
mysql> select UNIX_TIMESTAMP('2023-09-18 00:00:00','yyyy-MM-dd HH:mm:ss');
+--------------------------------------------------------------+
| unix_timestamp('2023-09-18 00:00:00', 'yyyy-MM-dd HH:mm:ss') |
+--------------------------------------------------------------+
| NULL |
+--------------------------------------------------------------+
1 row in set (0.04 sec)
```
now:
```sql
mysql> select UNIX_TIMESTAMP('2023-09-18 00:00:00','yyyy-MM-dd HH:mm:ss');
+------------+
| 1694966400 |
+------------+
| 1694966400 |
+------------+
1 row in set (0.01 sec)
```
fix array index func with decimal
in old analyzer when sql with array_position or array_contains with decimal , may loss precision to which will make result wrong
FEATURE:
1. enable array type in Nereids
2. support generice on function signature
3. support array and map type in type coercion and type check
4. add element_at and element_slice syntax in Nereids parser
REFACTOR:
1. remove AbstractDataType
BUG FIX:
1. remove FROM from nonReserved keyword list
TODO:
1. support lambda expression
2. use Nereids' way do function type coercion
3. use castIfnotSame when do implict cast on BoundFunction
4. let AnyDataType type coercion do same thing as function type coercion
5. add below array function
- array_apply
- array_concat
- array_filter
- array_sortby
- array_exists
- array_first_index
- array_last_index
- array_count
- array_shuffle shuffle
- array_pushfront
- array_pushback
- array_repeat
- array_zip
- reverse
- concat_ws
- split_by_string
- explode
- bitmap_from_array
- bitmap_to_array
- multi_search_all_positions
- multi_match_any
- tokenize
if we write sql with : `select cast(array() as array<varchar(10)>)`
castexpr in fe will call analyze() with `Type.matchExactType(childType, type, true);`
here array type only check contains_null , but should check inner type to make array matchExactType right
if we write sql with : select array(1.0,2.0,null, null,2.0)
here will pass arg type with uint8 to be which does not match array() func sign with deicmal, and make be core. so here should cast from be and make null tag to cast decimal type
count_by_enum(expr1, expr2, ... , exprN);
Treats the data in a column as an enumeration and counts the number of values in each enumeration. Returns the number of enumerated values for each column, and the number of non-null values versus the number of null values.
Problem:
When window function in aggregation function, executor would report an error like: Required field 'node_type' was not present!
Example:
SELECT SUM(MAX(c1) OVER (PARTITION BY c2, c3)) FROM test_window_in_agg;
Reason:
When analyze aggregate, analytic expr (window function carrior when analyze) transfered to slot and loss message. So when
serialize to thrift package, TExpr can not determine node_type of analytic expr.
Solved:
We do not support aggregate(window function) yet. So we report an error when analyze.
