extracting data in table using REGEXP_REPLACE - regex

Question

I already asked this question, but I am not sure why no one is answering back.
I got a partial answer, maybe because I marked it as correct answer... Not sure, but will try my luck here again.
My data looks like this:
reported_name
--------------
HEMA using TM-0497
TEGDMA
Blue HEMA using TM-0510
Norbloc using TM-0545
SIMAA2 using TM-0547
Tensile Strength using
Appearance using TM-0011
Haze using TM-0561
Blue HEMA using CRM-0126
t-Amyl Alcohol
Transmittance TM-0509
DK (edge corrected) TM-0534
Decanoic Acid CRM-0200
Glycol using CRM-0094
% Ketotifen Released using TM-0578_V2_RELEASE
TMPTMA using CRM-0208
% Ketotifen Released using TM-0578_V2_RE
Ca2DTPA Assay using USP_541 (3 day drying)
Water using TM-0449 OOS Analyst 1, Equip 1, set 2
Leachable Polymer using CRM-0225 Sample B
DMA using TM-0500 2333-30e
Decanoic Acid using TM-0622 - Rev # 1
Ketotifen Fumarate Assay using TM-0624_ASSAY_RC - Rev # 2
Refractive Index using TM-0589 - Day 8
Refractive Index using TM-0589 - Rev # 0 - Day 5
I need my output to be like:
reported_name analysis_method revision_number
-------------- -------------- ------------------
HEMA using TM-0497 TM-0497 null
TEGDMA null null
Blue HEMA using TM-0510 TM-0510 null
Norbloc using TM-0545 TM-0545 null
SIMAA2 using TM-0547 TM-0547 null
Tensile Strength using null null
Appearance using TM-0011 TM-0011 null
Haze using TM-0561 TM-0561 null
Blue HEMA using CRM-0126 CRM-0126 null
t-Amyl Alcohol null null
Transmittance TM-0509 TM-0509 null
DK () TM-0534 TM-0534 null
Decanoic Acid CRM-0200 null null
Glycol using CRM-0094 CRM-0094 null
% Ketotifen Released
using TM-0578_V2_RELEASE TM-0578_V2_RELEASE null
TMPTMA using CRM-0208 CRM-0208 null
% Ketotifen Released
using TM-0578_V2_RE TM-0578_V2_RE null
Ca2DTPA Assay using
USP_541 (3 day drying) USP_541 null
Water using TM-0449
OOS Analyst 1 TM-0449 null
Leachable Polymer
using CRM-0225 Sample B CRM-0225 null
DMA using TM-0500 2333- TM-0500 null
Decanoic Acid using
TM-0622 - Rev # 1 TM-0622 Rev # 1
Ketotifen Fumarate Assay
using TM-0624_ASSAY_RC
- Rev # 2 TM-0624_ASSAY_RC Rev # 2
Refractive Index using
TM-0589 - Day 8 TM-0589 null
Refractive Index using
TM-0589 - Rev # 0
- Day 5 TM-0589 Rev # 0
Is this possible, because I can't seem to make it work right.
I still need to find the way to extract analysis_method, when I see things like CRM-0200 in string : 'Decanoic Acid CRM-0200'
This is what I got so far:
select distinct t.reported_name,
(case
when regexp_like(t.reported_name, '.* using (.*)([ ]?[-]?[ ]?Rev.*)')
then regexp_replace(t.reported_name, '.* using (.*)([ ]?- Rev.*)', '\1')
when regexp_like(t.reported_name, '.* using (.*)')
then regexp_replace(t.reported_name, '.* using (.*)', '\1')
else '' end) as analysis_method_regexp,
(case when regexp_like(t.reported_name, '.*[ ]?[-]?[ ]?(Rev[ ]?#[ ]?[0-9]+).*')
then regexp_replace(t.reported_name, '.*[ ]?[-]?[ ]?(Rev[ ]?#[ ]?[0-9]+).*', '\1')
else '' end) as revision_regexp
from test t;

Answer 1

Here's how I approached the problem. First describe the search criteria for each output column:
- 1st column is the whole line.
- If the line has "using" in it, then the 2nd column is the string following the word "using".
- If the line has the string "Rev #" in it, the 3rd column is the "Rev # " plus the string following it.
Then code the rules using regular expressions for the matching rules:
with sel as(
-- Test data that matches all combinations.
select 'TEGMA' str from dual
union
select 'Blue HEMA using TM-0510' str from dual
union
select 'Decanoic Acid using TM-0622 - Rev # 1' str from dual
union
select '% Ketotifen Released using TM-0578_V2_RELEASE' str from dual
union
select 'Leachable Polymer using CRM-0225 Sample B' str from dual
union
select 'Ketotifen Fumarate Assay using TM-0624_ASSAY_RC - Rev # 2' str from dual
)
SELECT str reported_name,
CASE
-- if line contains " using " then...
WHEN regexp_like(str, '.* using .*') THEN
-- use groups. 1st group is the beginning of the line, ending with
-- "...using ". The second group starts right after the space after
-- "using ", and matches any number of characters that are not a
-- space or the end of the line. Followed by any number of any
-- characters that we do not care about.
-- Return the second group only.
regexp_replace(str, '^(.* using )([^ $]*).*', '\2')
END analysis_method,
CASE
-- if line contains " Rev # (a number)" then..
WHEN regexp_like(str, '.* Rev # \d.*') THEN
regexp_replace(str, '(.* )(Rev # [^ $]).*', '\2')
END revision_number
from sel;
Output: