I'm having a table with 3 columns:
DATE_A
, DATE_B
and ISSUE
DATE_A
and DATE_B
can be filled in 3 possible ways:
either both have a value, or only one have, as shown here:
DATE_A | DATE_B | ISSUE
----------+-----------+-----------
20130301 | 20140101 | bla
20150801 | null | foo
null | 20180701 | bar
I need to parse this table to populate a new table, with DATE_A and DATE_B populating both a single column DATE_M
.
If the DATE_A
(or DATE_B
) value to insert into DATE_M
already exists in DATE_M
, then the source ISSUE
must be appended with the existing DATE_M
ISSUE
. The example below show the principle.
Example
Source
DATE_A | DATE_B | ISSUE
----------+-----------+-----------
20130301 | 20140101 | bla1
20150801 | null | foo1
null | 20180701 | bar
20130301 | 20150101 | bla2
20150801 | null | foo2
Destination
DATE_M | ISSUE
----------+-----------
20130301 | bla1; bla2
20140101 | bla1
20150801 | foo1; foo2
20150101 | bla2
20180701 | bar
Question
Is it possible to write a query doing that or should a stored procedure be written ? If a single query can, what could it be ?