问题
A colleague of mines encountered this problem while working on a COBOL program and eventually solved it at the application level. Still I am curious if it is possible to solve it on the data access level, with SQL. This is somehow related to this other question, but I'd like to use only ANSI SQL.
I'm looking for a single SQL select query that acts on a VARCHAR field that contains variable length CSV rows. The purpose of the query is to split every CSV field in its own result set row.
Here is an example with schema and data (and here is the fiddle):
CREATE TABLE table1 (`field` varchar(100));
INSERT INTO table1 (`field`)
VALUES
('Hello,world,!') ,
('Haloa,!') ,
('Have,a,nice,day,!');
Here is the output I'd like to have from the query:
Hello
world
!
Haloa
!
Have
a
nice
day
!
The CSV separator used is the comma, and for now I wouldn't worry about escaping.
回答1:
As far as I can tell, this is ANSI SQL:
with recursive word_list (field, word, rest, field_id, level) as (
select field,
substring(field from 1 for position(',' in field) - 1) as word,
substring(field from position(',' in field) + 1) as rest,
row_number() over () as field_id,
1
from table1
union all
select c.field,
case
when position(',' in p.rest) = 0 then p.rest
else substring(p.rest from 1 for position(',' in p.rest) - 1)
end as word,
case
when position(',' in p.rest) = 0 then null
else substring(p.rest from position(',' in p.rest) + 1)
end as rest,
p.field_id,
p.level + 1
from table1 as c
join word_list p on c.field = p.field and position(',' in p.rest) >= 0
)
select word
from word_list
order by field_id, level;
This assumes that the values in field are unique.
Here is a running example
回答2:
In Oracle you could use something like that (maybe it's not the most elegant but it gives the result you want) - simply replace tab with your_table_name:
WITH
tab2 AS (
SELECT t.field,
CASE WHEN INSTR(t.field, ',', 1, 1) > 0 AND regexp_count(t.field,',') >= 1 THEN INSTR(t.field, ',', 1, 1) ELSE NULL END AS pos1,
CASE WHEN INSTR(t.field, ',', 1, 2) > 0 AND regexp_count(t.field,',') >= 2 THEN INSTR(t.field, ',', 1, 2) ELSE NULL END AS pos2,
CASE WHEN INSTR(t.field, ',', 1, 3) > 0 AND regexp_count(t.field,',') >= 3 THEN INSTR(t.field, ',', 1, 3) ELSE NULL END AS pos3,
CASE WHEN INSTR(t.field, ',', 1, 4) > 0 AND regexp_count(t.field,',') >= 4 THEN INSTR(t.field, ',', 1, 4) ELSE NULL END AS pos4,
CASE WHEN INSTR(t.field, ',', 1, 5) > 0 AND regexp_count(t.field,',') >= 5 THEN INSTR(t.field, ',', 1, 5) ELSE NULL END AS pos5,
CASE WHEN INSTR(t.field, ',', 1, 6) > 0 AND regexp_count(t.field,',') >= 6 THEN INSTR(t.field, ',', 1, 6) ELSE NULL END AS pos6
FROM tab t
),
tab3 AS (
SELECT SUBSTR(tt.field,1,tt.pos1-1) AS col1,
SUBSTR(tt.field,tt.pos1+1, CASE WHEN tt.pos2 IS NULL THEN LENGTH(tt.field) - tt.pos1 ELSE tt.pos2 - tt.pos1 - 1 END) AS col2,
SUBSTR(tt.field,tt.pos2+1, CASE WHEN tt.pos3 IS NULL THEN LENGTH(tt.field) - tt.pos2 ELSE tt.pos3 - tt.pos2 - 1 END) AS col3,
SUBSTR(tt.field,tt.pos3+1, CASE WHEN tt.pos4 IS NULL THEN LENGTH(tt.field) - tt.pos3 ELSE tt.pos4 - tt.pos3 - 1 END) AS col4,
SUBSTR(tt.field,tt.pos4+1, CASE WHEN tt.pos5 IS NULL THEN LENGTH(tt.field) - tt.pos4 ELSE tt.pos5 - tt.pos4 - 1 END) AS col5,
SUBSTR(tt.field,tt.pos5+1, CASE WHEN tt.pos6 IS NULL THEN LENGTH(tt.field) - tt.pos5 ELSE tt.pos6 - tt.pos5 - 1 END) AS col6
,ROWNUM AS r
FROM tab2 tt
),
tab4 AS (
SELECT ttt.col1 AS col FROM tab3 ttt WHERE r = 1
UNION ALL SELECT ttt.col2 FROM tab3 ttt WHERE r = 1
UNION ALL SELECT ttt.col3 FROM tab3 ttt WHERE r = 1
UNION ALL SELECT ttt.col4 FROM tab3 ttt WHERE r = 1
UNION ALL SELECT ttt.col5 FROM tab3 ttt WHERE r = 1
UNION ALL SELECT ttt.col6 FROM tab3 ttt WHERE r = 1
UNION ALL
SELECT ttt.col1 FROM tab3 ttt WHERE r = 2
UNION ALL SELECT ttt.col2 FROM tab3 ttt WHERE r = 2
UNION ALL SELECT ttt.col3 FROM tab3 ttt WHERE r = 2
UNION ALL SELECT ttt.col4 FROM tab3 ttt WHERE r = 2
UNION ALL SELECT ttt.col5 FROM tab3 ttt WHERE r = 2
UNION ALL SELECT ttt.col6 FROM tab3 ttt WHERE r = 2
UNION ALL
SELECT ttt.col1 FROM tab3 ttt WHERE r = 3
UNION ALL SELECT ttt.col2 FROM tab3 ttt WHERE r = 3
UNION ALL SELECT ttt.col3 FROM tab3 ttt WHERE r = 3
UNION ALL SELECT ttt.col4 FROM tab3 ttt WHERE r = 3
UNION ALL SELECT ttt.col5 FROM tab3 ttt WHERE r = 3
UNION ALL SELECT ttt.col6 FROM tab3 ttt WHERE r = 3
UNION ALL
SELECT ttt.col1 FROM tab3 ttt WHERE r = 4
UNION ALL SELECT ttt.col2 FROM tab3 ttt WHERE r = 4
UNION ALL SELECT ttt.col3 FROM tab3 ttt WHERE r = 4
UNION ALL SELECT ttt.col4 FROM tab3 ttt WHERE r = 4
UNION ALL SELECT ttt.col5 FROM tab3 ttt WHERE r = 4
UNION ALL SELECT ttt.col6 FROM tab3 ttt WHERE r = 4
UNION ALL
SELECT ttt.col1 FROM tab3 ttt WHERE r = 5
UNION ALL SELECT ttt.col2 FROM tab3 ttt WHERE r = 5
UNION ALL SELECT ttt.col3 FROM tab3 ttt WHERE r = 5
UNION ALL SELECT ttt.col4 FROM tab3 ttt WHERE r = 5
UNION ALL SELECT ttt.col5 FROM tab3 ttt WHERE r = 5
UNION ALL SELECT ttt.col6 FROM tab3 ttt WHERE r = 5
)
SELECT col
FROM tab4
WHERE col IS NOT NULL
it gives me the result:
1 Hello
2 world
3 !
4 Haloa
5 !
6 Have
7 a
8 nice
9 day
10 !
回答3:
FWIW, here's another Oracle specific method. Maybe it will give an idea or help a future searcher at least.
SQL> with tbl(rownbr, col1) as (
select 1, 'Hello,world,!' from dual union
select 2, 'Haloa,!' from dual union
select 3, 'Have,a,nice,day,!' from dual
)
SELECT rownbr, column_value substring_nbr,
regexp_substr(col1, '(.*?)(,|$)', 1, column_value, null, 1)
FROM tbl,
TABLE(
CAST(
MULTISET(SELECT LEVEL
FROM dual
CONNECT BY LEVEL <= REGEXP_COUNT(col1, ',')+1
) AS sys.OdciNumberList
)
)
order by rownbr, substring_nbr;
ROWNBR SUBSTRING_NBR REGEXP_SUBSTR(COL
---------- ------------- -----------------
1 1 Hello
1 2 world
1 3 !
2 1 Haloa
2 2 !
3 1 Have
3 2 a
3 3 nice
3 4 day
3 5 !
10 rows selected.
SQL>
来源：https://stackoverflow.com/questions/39368739/split-a-csv-field-into-different-rows-in-sql