Reputation: 14439
I have a table with a string which contains several delimited values, e.g. a;b;c
.
I need to split this string and use its values in a query. For example I have following table:
str
a;b;c
b;c;d
a;c;d
I need to group by a single value from str
column to get following result:
str count(*)
a 1
b 2
c 3
d 2
Is it possible to implement using single select query? I can not create temporary tables to extract values there and query against that temporary table.
Upvotes: 1
Views: 760
Reputation: 373
SELECT NAME,COUNT(NAME) FROM ( SELECT NAME FROM ( (SELECT rownum as ID, REGEXP_SUBSTR('a;b;c', '[^;]+', 1, LEVEL ) NAME
FROM dual CONNECT BY REGEXP_SUBSTR('a;b;c', '[^;]+', 1, LEVEL) IS NOT NULL))
UNION ALL (SELECT NAME FROM ( (SELECT rownum as ID, REGEXP_SUBSTR('b;c;d', '[^;]+', 1, LEVEL ) NAME
FROM dual CONNECT BY REGEXP_SUBSTR('b;c;d', '[^;]+', 1, LEVEL) IS NOT NULL)))
UNION ALL
(SELECT NAME FROM ( (SELECT rownum as ID, REGEXP_SUBSTR('a;c;d', '[^;]+', 1, LEVEL ) NAME
FROM dual CONNECT BY REGEXP_SUBSTR('a;c;d', '[^;]+', 1, LEVEL) IS NOT NULL)))) GROUP BY NAME
NAME COUNT(NAME)
----- -----------
d 2
a 2
b 2
c 3
Upvotes: 0
Reputation: 27251
From your comment to @PrzemyslawKruglej answer
Main problem is with internal query with
connect by
, it generates astonishing amount of rows
The amount of rows generated can be reduced with the following approach:
/* test table populated with sample data from your question */
SQL> create table t1(str) as(
2 select 'a;b;c' from dual union all
3 select 'b;c;d' from dual union all
4 select 'a;c;d' from dual
5 );
Table created
-- number of rows generated will solely depend on the most longest
-- string.
-- If (say) the longest string contains 3 words (wont count separator `;`)
-- and we have 100 rows in our table, then we will end up with 300 rows
-- for further processing , no more.
with occurrence(ocr) as(
select level
from ( select max(regexp_count(str, '[^;]+')) as mx_t
from t1 ) t
connect by level <= mx_t
)
select count(regexp_substr(t1.str, '[^;]+', 1, o.ocr)) as generated_for_3_rows
from t1
cross join occurrence o;
Result: For three rows where the longest one is made up of three words, we will generate 9 rows:
GENERATED_FOR_3_ROWS
--------------------
9
Final query:
with occurrence(ocr) as(
select level
from ( select max(regexp_count(str, '[^;]+')) as mx_t
from t1 ) t
connect by level <= mx_t
)
select res
, count(res) as cnt
from (select regexp_substr(t1.str, '[^;]+', 1, o.ocr) as res
from t1
cross join occurrence o)
where res is not null
group by res
order by res;
Result:
RES CNT
----- ----------
a 2
b 2
c 3
d 2
Find out more about regexp_count()(11g and up) and regexp_substr() regular expression functions.
Note: Regular expression functions relatively expensive to compute, and when it comes to processing a very large amount of data, it might be worth considering to switch to a plain PL/SQL. Here is an example.
Upvotes: 4
Reputation: 8123
This is ugly, but seems to work. The problem with the CONNECT BY
splitting is that it returns duplicate rows. I managed to get rid of them, but you'll have to test it:
WITH
data AS (
SELECT 'a;b;c' AS val FROM dual
UNION ALL SELECT 'b;c;d' AS val FROM dual
UNION ALL SELECT 'a;c;d' AS val FROM dual
)
SELECT token, COUNT(1)
FROM (
SELECT DISTINCT token, lvl, val, p_val
FROM (
SELECT
regexp_substr(val, '[^;]+', 1, level) AS token,
level AS lvl,
val,
NVL(prior val, val) p_val
FROM data
CONNECT BY regexp_substr(val, '[^;]+', 1, level) IS NOT NULL
)
WHERE val = p_val
)
GROUP BY token;
TOKEN COUNT(1) -------------------- ---------- d 2 b 2 a 2 c 3
Upvotes: 1