如何在不插入值的情况下在 sql 中创建动态行?
How to create dynamic row in sql without inserting a value?
我需要根据 SQL 查询获取的结果添加动态行。我编写了一个显示如下结果的查询:
Value
Name
1
Test 1
2
Test 2
.
.
n
n
上面的 SQL 结果将 return 一个动态的行数。 (行数不固定)
所以我想添加一个列,其中包含基于行数的 Parent1、Parent2 等值。假设我的查询 return 总共有 300 行,那么第一行应该在列 Value 和 In name 中命名为 Parent1,然后我的查询结果直到第 150 行,然后是另一个动态行,其值列为 Parent2 字段和像下面这样 table.
Value
Name
Parent1
Parent 1
1
Test 1
2
Test 2
.
.
Parent2
Parent2
151
Test 151
.
.
n
n
请注意:我无法使用 DDL 或 DML 命令来实现此目的。
下面的查询将使用 CONNECT BY
生成 parents/non-parents 的列表。您可以将 300
更改为您要生成的行数,并更改查询中的 150
以使父级生成那么多行数。
SELECT LEVEL,
CASE
WHEN MOD (LEVEL, 150) = 0 OR LEVEL = 1
THEN
'Parent' || TO_CHAR (TRUNC (LEVEL / 150) + 1)
ELSE
TO_CHAR (LEVEL)
END AS VALUE,
CASE
WHEN MOD (LEVEL, 150) = 0 OR LEVEL = 1
THEN
'Parent' || TO_CHAR (TRUNC (LEVEL / 150) + 1)
ELSE
'Test ' || TO_CHAR (LEVEL)
END AS VALUE
FROM DUAL
CONNECT BY LEVEL <= 300;
假设这是您的原始查询
select
to_char(rownum) value, 'Test '||rownum name
from dual
connect by level <= 6
;
VALUE NAME
---------- ----------
1 Test 1
2 Test 2
3 Test 3
4 Test 4
5 Test 5
6 Test 6
并且您想介绍 两行 header Parent
行。
您可以使用 NTILE
将原始查询拆分为按某些列排序的两部分(此处 VALUE
)
NTILE(2) OVER (ORDER BY VALUE) nt
更改 NTILE
中的数字以增加拆分。
下面的查询使用原始查询作为基础,计算拆分的NTILE
,添加UNION ALL
Parent 行。
最重要的是使用 NTILE
数字 (nt
) 涵盖 正确顺序 ,来源(第一个 parent 行比数据)和 value
.
with dt as ( /* your original query */
select
to_char(rownum) value, 'Test '||rownum name
from dual
connect by level <= 6
)
select VALUE, NAME,
NTILE(2) OVER (ORDER BY VALUE) nt, /* modify to change split */
1 src
from dt
union all
select
'Parent'||rownum value,
'Parent'||rownum name,
rownum nt, 0 src
from dual connect by level <= 2 /* modify to change split */
order by nt, src, value;
VALUE NAME NT SRC
---------------------------------------------- ---------------------------------------------- ---------- ----------
Parent1 Parent1 1 0
1 Test 1 1 1
2 Test 2 1 1
3 Test 3 1 1
Parent2 Parent2 2 0
4 Test 4 2 1
5 Test 5 2 1
6 Test 6 2 1
类似的方法,更动态。
col value for 9999
col name for a20
define limit = &1
define split = &2
select level as lvl,
case
when mod (level, &&split) = 0 or level = 1
then
'parent' || to_char (trunc (level / &&split) + 1)
else
to_char (level)
end as name,
case
when mod (level, &&split) = 0 or level = 1
then
'parent' || to_char (trunc (level / &&split) + 1)
else
'test ' || to_char (level)
end as value
from dual
connect by level <= &&limit
/
作为脚本执行,你通知两个参数,值的总数和拆分值。
SQL> @generate.sql 100 50
old 3: when mod (level, &&split) = 0 or level = 1
new 3: when mod (level, 50) = 0 or level = 1
old 5: 'parent' || to_char (trunc (level / &&split) + 1)
new 5: 'parent' || to_char (trunc (level / 50) + 1)
old 10: when mod (level, &&split) = 0 or level = 1
new 10: when mod (level, 50) = 0 or level = 1
old 12: 'parent' || to_char (trunc (level / &&split) + 1)
new 12: 'parent' || to_char (trunc (level / 50) + 1)
old 17: connect by level <= &&limit
new 17: connect by level <= 100
LVL NAME VALUE
---------- -------------------- ----------------------------------------------
1 parent1 parent1
2 2 test 2
3 3 test 3
4 4 test 4
5 5 test 5
6 6 test 6
7 7 test 7
8 8 test 8
9 9 test 9
10 10 test 10
11 11 test 11
LVL NAME VALUE
---------- -------------------- ----------------------------------------------
12 12 test 12
13 13 test 13
14 14 test 14
15 15 test 15
16 16 test 16
17 17 test 17
18 18 test 18
19 19 test 19
20 20 test 20
21 21 test 21
22 22 test 22
LVL NAME VALUE
---------- -------------------- ----------------------------------------------
23 23 test 23
24 24 test 24
25 25 test 25
26 26 test 26
27 27 test 27
28 28 test 28
29 29 test 29
30 30 test 30
31 31 test 31
32 32 test 32
33 33 test 33
LVL NAME VALUE
---------- -------------------- ----------------------------------------------
34 34 test 34
35 35 test 35
36 36 test 36
37 37 test 37
38 38 test 38
39 39 test 39
40 40 test 40
41 41 test 41
42 42 test 42
43 43 test 43
44 44 test 44
LVL NAME VALUE
---------- -------------------- ----------------------------------------------
45 45 test 45
46 46 test 46
47 47 test 47
48 48 test 48
49 49 test 49
50 parent2 parent2
51 51 test 51
52 52 test 52
53 53 test 53
54 54 test 54
55 55 test 55
LVL NAME VALUE
---------- -------------------- ----------------------------------------------
56 56 test 56
57 57 test 57
58 58 test 58
59 59 test 59
60 60 test 60
61 61 test 61
62 62 test 62
63 63 test 63
64 64 test 64
65 65 test 65
66 66 test 66
LVL NAME VALUE
---------- -------------------- ----------------------------------------------
67 67 test 67
68 68 test 68
69 69 test 69
70 70 test 70
71 71 test 71
72 72 test 72
73 73 test 73
74 74 test 74
75 75 test 75
76 76 test 76
77 77 test 77
LVL NAME VALUE
---------- -------------------- ----------------------------------------------
78 78 test 78
79 79 test 79
80 80 test 80
81 81 test 81
82 82 test 82
83 83 test 83
84 84 test 84
85 85 test 85
86 86 test 86
87 87 test 87
88 88 test 88
LVL NAME VALUE
---------- -------------------- ----------------------------------------------
89 89 test 89
90 90 test 90
91 91 test 91
92 92 test 92
93 93 test 93
94 94 test 94
95 95 test 95
96 96 test 96
97 97 test 97
98 98 test 98
99 99 test 99
LVL NAME VALUE
---------- -------------------- ----------------------------------------------
100 parent3 parent3
100 rows selected.
我需要根据 SQL 查询获取的结果添加动态行。我编写了一个显示如下结果的查询:
Value | Name |
---|---|
1 | Test 1 |
2 | Test 2 |
. | . |
n | n |
上面的 SQL 结果将 return 一个动态的行数。 (行数不固定)
所以我想添加一个列,其中包含基于行数的 Parent1、Parent2 等值。假设我的查询 return 总共有 300 行,那么第一行应该在列 Value 和 In name 中命名为 Parent1,然后我的查询结果直到第 150 行,然后是另一个动态行,其值列为 Parent2 字段和像下面这样 table.
Value | Name |
---|---|
Parent1 | Parent 1 |
1 | Test 1 |
2 | Test 2 |
. | . |
Parent2 | Parent2 |
151 | Test 151 |
. | . |
n | n |
请注意:我无法使用 DDL 或 DML 命令来实现此目的。
下面的查询将使用 CONNECT BY
生成 parents/non-parents 的列表。您可以将 300
更改为您要生成的行数,并更改查询中的 150
以使父级生成那么多行数。
SELECT LEVEL,
CASE
WHEN MOD (LEVEL, 150) = 0 OR LEVEL = 1
THEN
'Parent' || TO_CHAR (TRUNC (LEVEL / 150) + 1)
ELSE
TO_CHAR (LEVEL)
END AS VALUE,
CASE
WHEN MOD (LEVEL, 150) = 0 OR LEVEL = 1
THEN
'Parent' || TO_CHAR (TRUNC (LEVEL / 150) + 1)
ELSE
'Test ' || TO_CHAR (LEVEL)
END AS VALUE
FROM DUAL
CONNECT BY LEVEL <= 300;
假设这是您的原始查询
select
to_char(rownum) value, 'Test '||rownum name
from dual
connect by level <= 6
;
VALUE NAME
---------- ----------
1 Test 1
2 Test 2
3 Test 3
4 Test 4
5 Test 5
6 Test 6
并且您想介绍 两行 header Parent
行。
您可以使用 NTILE
将原始查询拆分为按某些列排序的两部分(此处 VALUE
)
NTILE(2) OVER (ORDER BY VALUE) nt
更改 NTILE
中的数字以增加拆分。
下面的查询使用原始查询作为基础,计算拆分的NTILE
,添加UNION ALL
Parent 行。
最重要的是使用 NTILE
数字 (nt
) 涵盖 正确顺序 ,来源(第一个 parent 行比数据)和 value
.
with dt as ( /* your original query */
select
to_char(rownum) value, 'Test '||rownum name
from dual
connect by level <= 6
)
select VALUE, NAME,
NTILE(2) OVER (ORDER BY VALUE) nt, /* modify to change split */
1 src
from dt
union all
select
'Parent'||rownum value,
'Parent'||rownum name,
rownum nt, 0 src
from dual connect by level <= 2 /* modify to change split */
order by nt, src, value;
VALUE NAME NT SRC
---------------------------------------------- ---------------------------------------------- ---------- ----------
Parent1 Parent1 1 0
1 Test 1 1 1
2 Test 2 1 1
3 Test 3 1 1
Parent2 Parent2 2 0
4 Test 4 2 1
5 Test 5 2 1
6 Test 6 2 1
类似的方法,更动态。
col value for 9999
col name for a20
define limit = &1
define split = &2
select level as lvl,
case
when mod (level, &&split) = 0 or level = 1
then
'parent' || to_char (trunc (level / &&split) + 1)
else
to_char (level)
end as name,
case
when mod (level, &&split) = 0 or level = 1
then
'parent' || to_char (trunc (level / &&split) + 1)
else
'test ' || to_char (level)
end as value
from dual
connect by level <= &&limit
/
作为脚本执行,你通知两个参数,值的总数和拆分值。
SQL> @generate.sql 100 50
old 3: when mod (level, &&split) = 0 or level = 1
new 3: when mod (level, 50) = 0 or level = 1
old 5: 'parent' || to_char (trunc (level / &&split) + 1)
new 5: 'parent' || to_char (trunc (level / 50) + 1)
old 10: when mod (level, &&split) = 0 or level = 1
new 10: when mod (level, 50) = 0 or level = 1
old 12: 'parent' || to_char (trunc (level / &&split) + 1)
new 12: 'parent' || to_char (trunc (level / 50) + 1)
old 17: connect by level <= &&limit
new 17: connect by level <= 100
LVL NAME VALUE
---------- -------------------- ----------------------------------------------
1 parent1 parent1
2 2 test 2
3 3 test 3
4 4 test 4
5 5 test 5
6 6 test 6
7 7 test 7
8 8 test 8
9 9 test 9
10 10 test 10
11 11 test 11
LVL NAME VALUE
---------- -------------------- ----------------------------------------------
12 12 test 12
13 13 test 13
14 14 test 14
15 15 test 15
16 16 test 16
17 17 test 17
18 18 test 18
19 19 test 19
20 20 test 20
21 21 test 21
22 22 test 22
LVL NAME VALUE
---------- -------------------- ----------------------------------------------
23 23 test 23
24 24 test 24
25 25 test 25
26 26 test 26
27 27 test 27
28 28 test 28
29 29 test 29
30 30 test 30
31 31 test 31
32 32 test 32
33 33 test 33
LVL NAME VALUE
---------- -------------------- ----------------------------------------------
34 34 test 34
35 35 test 35
36 36 test 36
37 37 test 37
38 38 test 38
39 39 test 39
40 40 test 40
41 41 test 41
42 42 test 42
43 43 test 43
44 44 test 44
LVL NAME VALUE
---------- -------------------- ----------------------------------------------
45 45 test 45
46 46 test 46
47 47 test 47
48 48 test 48
49 49 test 49
50 parent2 parent2
51 51 test 51
52 52 test 52
53 53 test 53
54 54 test 54
55 55 test 55
LVL NAME VALUE
---------- -------------------- ----------------------------------------------
56 56 test 56
57 57 test 57
58 58 test 58
59 59 test 59
60 60 test 60
61 61 test 61
62 62 test 62
63 63 test 63
64 64 test 64
65 65 test 65
66 66 test 66
LVL NAME VALUE
---------- -------------------- ----------------------------------------------
67 67 test 67
68 68 test 68
69 69 test 69
70 70 test 70
71 71 test 71
72 72 test 72
73 73 test 73
74 74 test 74
75 75 test 75
76 76 test 76
77 77 test 77
LVL NAME VALUE
---------- -------------------- ----------------------------------------------
78 78 test 78
79 79 test 79
80 80 test 80
81 81 test 81
82 82 test 82
83 83 test 83
84 84 test 84
85 85 test 85
86 86 test 86
87 87 test 87
88 88 test 88
LVL NAME VALUE
---------- -------------------- ----------------------------------------------
89 89 test 89
90 90 test 90
91 91 test 91
92 92 test 92
93 93 test 93
94 94 test 94
95 95 test 95
96 96 test 96
97 97 test 97
98 98 test 98
99 99 test 99
LVL NAME VALUE
---------- -------------------- ----------------------------------------------
100 parent3 parent3
100 rows selected.