select (level - 1) * row_dif + 1 as a, (level - 1) * row_dif + 2 as b, (level - 1) * row_dif + 3 as c
    from dual 
    connect by level <= number_of_rows;

就像这样

select (level - 1) * 3 + 1 as a, (level - 1) * 3 + 2 as b, (level - 1) * 3 + 3 as c
    from dual 
    connect by level <= 3;

SELECT * 
FROM DUAL 
CONNECT BY ROWNUM <= 9;

下面是一种直接用MySQL请求SELECT创建自定义行的方法:

SELECT ALL *
FROM (
    VALUES
        ROW (1, 2, 3),
        ROW (4, 5, 6),
        ROW (7, 8, 9)
) AS dummy (c1, c2, c3)

给我们一个表假人:

c1   c2   c3
-------------
 1    2    3
 4    5    6
 7    8    9

用MySQL 8测试

在Oracle中

SELECT
  CASE
    WHEN level = 1
    THEN 'HI'
    WHEN level = 2
    THEN 'BYE'
  END TEST
FROM dual
  CONNECT BY level <= 2;

下面是我如何使用一个简洁的XML技巧在Oracle 10+中填充静态数据。

create table prop
(ID NUMBER,
 NAME varchar2(10),
 VAL varchar2(10),
 CREATED timestamp,
 CONSTRAINT PK_PROP PRIMARY KEY(ID)
);

merge into Prop p
using (
select 
  extractValue(value(r), '/R/ID') ID,
  extractValue(value(r), '/R/NAME') NAME,
  extractValue(value(r), '/R/VAL') VAL
from
(select xmltype('
<ROWSET>
   <R><ID>1</ID><NAME>key1</NAME><VAL>value1</VAL></R>
   <R><ID>2</ID><NAME>key2</NAME><VAL>value2</VAL></R>
   <R><ID>3</ID><NAME>key3</NAME><VAL>value3</VAL></R>
</ROWSET>
') xml from dual) input,
 table(xmlsequence(input.xml.extract('/ROWSET/R'))) r
) p_new
on (p.ID = p_new.ID)
when not matched then
insert
(ID, NAME, VAL, CREATED)
values
( p_new.ID, p_new.NAME, p_new.VAL, SYSTIMESTAMP );

merge只插入原始表中缺少的行，这很方便 如果您想重新运行插入脚本。

在Oracle SQL中，您可以使用JSON_TABLE从JSON创建表:

SELECT
   t.emp_name,
   t.emp_age
FROM
   JSON_TABLE (
   '{
     "employees": [{name:"Alice", age: 19}, {name: "Bob", age: 23}]
  }',
  '$'
  COLUMNS (
     NESTED PATH '$.employees[*]'
     COLUMNS (
        emp_name VARCHAR2(50) PATH '$.name',
        emp_age NUMBER(3,0) PATH '$.age'
     )
  )
) t;