I have dataset like this:
SELECT
1 as text_id,
'The first is A.ACCOUNT_ID and the second one is B.IDENTITY_NO and third one is plate_number .' as full_text
FROM DUAL
UNION
SELECT
2,
'The first is ARC.PREV_RECORD and the second one is ARC.NEXT_RECORD .'
FROM DUAL
I should parse all the phrases starts with " is " ; ends with first space character for each row.
So the result that I want to achieve from full_text is:
| text_id | parsed_part |
|---|---|
| 1 | A.ACCOUNT_ID |
| 1 | B.IDENTITY_NO |
| 1 | plate_number |
| 2 | ARC.PREV_RECORD |
| 2 | ARC.NEXT_RECORD |
It could be less or more than 3 phrases so the row count of result could be change.
I tried to reverse text first and find the part between " si " and space but couldn't succeed
reverse(regexp_substr(reverse(full_text), ' si ([^_]*) ',1, 1))
CodePudding user response:
Based on what you posted, see if this helps.
Sample data
SQL> with test as
2 (SELECT
3 1 as text_id,
4 'The first is A.ACCOUNT_ID and the second one is B.IDENTITY_NO and third one is plate_number .' as full_text
5 FROM DUAL
6 UNION
7 SELECT
8 2,
9 'The first is ARC.PREV_RECORD and the second one is ARC.NEXT_RECORD .'
10 FROM DUAL
11 )
Query itself
12 select text_id,
13 ltrim(regexp_substr(full_text, 'is \w .\w ', 1, column_value), 'is ') parsed_part
14 from test cross join
15 table(cast(multiset(select level from dual
16 connect by level <= regexp_count(full_text, ' is ')
17 ) as sys.odcinumberlist))
18 order by text_id, column_value;
TEXT_ID PARSED_PART
---------- --------------------
1 A.ACCOUNT_ID
1 B.IDENTITY_NO
1 plate_number
2 ARC.PREV_RECORD
2 ARC.NEXT_RECORD
SQL>
regexp_substrsearches for theisstring followed by two words split by a dot- ltrim removes leading
is
CodePudding user response:
Although Littlefoot beat me to it, here's my approach:
WITH tbl(text_id, full_text) AS (
SELECT 1, 'The first is A.ACCOUNT_ID and the second one is B.IDENTITY_NO and third one is plate_number .' FROM DUAL UNION ALL
SELECT 2, 'The first is ARC.PREV_RECORD and the second one is ARC.NEXT_RECORD .' FROM DUAL
)
SELECT text_id,
REGEXP_SUBSTR(full_text, ' is (.*?)( |$)', 1, LEVEL, NULL, 1) parsed_part
FROM tbl
CONNECT BY LEVEL <= REGEXP_COUNT(full_text, ' is .*?( |$)')
AND PRIOR text_id = text_id
AND PRIOR SYS_GUID() IS NOT NULL;
TEXT_ID PARSED_PART
---------- --------------------
1 A.ACCOUNT_ID
1 B.IDENTITY_NO
1 plate_number
2 ARC.PREV_RECORD
2 ARC.NEXT_RECORD
5 rows selected.
CodePudding user response:
With a lateral join on the unfolding of the dotted words via a connect by.
WITH DATA AS ( SELECT 1 as textid, 'The first is A.ACCOUNT_ID and the second one is B.IDENTITY_NO and third one is plate_number .' as full_text FROM DUAL UNION ALL SELECT 2, 'The first is ARC.PREV_RECORD and the second one is ARC.NEXT_RECORD .' FROM DUAL ) SELECT t.textid, w.word FROM DATA t CROSS JOIN LATERAL ( SELECT level AS lvl, REGEXP_SUBSTR(full_text, ' is ([A-Z._] )',1, LEVEL, 'i', 1) AS word FROM DUAL CONNECT BY LEVEL <= REGEXP_COUNT(full_text, ' is ([A-Z._] )', 1, 'i') ) w ORDER BY t.textid;
TEXTID | WORD
-----: | :--------------
1 | A.ACCOUNT_ID
1 | B.IDENTITY_NO
1 | plate_number
2 | ARC.PREV_RECORD
2 | ARC.NEXT_RECORD
db<>fiddle here
CodePudding user response:
You do not need to use (slow) regular expressions and can do it with simple string functions in a recursive sub-query:
WITH bounds (text_id, full_text, start_pos, end_pos) AS (
SELECT text_id,
full_text,
INSTR(full_text, ' is ', 1),
INSTR(full_text, ' ', INSTR(full_text, ' is ', 1) 4 )
FROM table_name
WHERE INSTR(full_text, ' is ', 1) > 0
UNION ALL
SELECT text_id,
full_text,
INSTR(full_text, ' is ', end_pos),
INSTR(full_text, ' ', INSTR(full_text, ' is ', end_pos) 4 )
FROM bounds
WHERE start_pos > 0
AND end_pos > 0
)
SEARCH DEPTH FIRST BY text_id SET order_rn
SELECT text_id,
SUBSTR(full_text, start_pos 4, end_pos - start_pos - 4) AS parsed_part
FROM bounds
WHERE start_pos > 0
AND end_pos > 0;
Which, for the sample data:
CREATE TABLE table_name (text_id, full_text) AS
SELECT 1,
'The first is A.ACCOUNT_ID and the second one is B.IDENTITY_NO and third one is plate_number .'
FROM DUAL
UNION ALL
SELECT 2,
'The first is ARC.PREV_RECORD and the second one is ARC.NEXT_RECORD .'
FROM DUAL
Outputs:
TEXT_ID PARSED_PART 1 A.ACCOUNT_ID 1 B.IDENTITY_NO 1 plate_number 2 ARC.PREV_RECORD 2 ARC.NEXT_RECORD
db<>fiddle here
