Flag a newly added subid within a ID - oracle

Question

Hi I have a dataframe as below with thousands of ID's. It has a list of ID's which have sub id's within them as shown. The subid's may get changed on daily basis, either a new sub id may be added, or an existing sub id maybe lost.
I need to create 2 new columns, which will flag whenever a sub id is added/lost.
So, in the below format you can see that on the 12th, a new sub id 'D' is added
and on the 13th, and existing sub id (c) is lost.
i want to create a new column/flag to track these sub ids. Can you please help me with this?
I am using Python 3.5. Thanks
Sample format for one ID:
ID Sub Id Date is_new
1 a 3/11/2016 0
1 b 3/11/2016 0
1 c 3/11/2016 0
1 a 3/12/2016 0
1 b 3/12/2016 0
1 c 3/12/2016 0
1 d 3/12/2016 1
1 a 3/13/2016 0
1 b 3/13/2016 0
1 d 3/13/2016 0

Answer 1

Below query will indicate when a sub-id is added or deleted. Hope this helps.
Get the max and min update date per id, I put it in a temp table name: min_max
If update date is same with min and max then mark them as 1
Lag and lead functions will get the previous and next sub id per ID, subid order by
Put everything on a subquery (table s)
If update date is not the start or end date per ID, then it can be added (is_mindte=0) or deleted (is_maxdte=0)
If is_added column is null, then it is added on that date (is_added is null); If is_deleted column is null, then it is deleted the next update date (is_added is null)
select s.id,
s.subid,
s.upddate,
(case when is_mindte=0 and is_added is null
then 1 else 0 end ) is_new,
(case when is_maxdte=0 and is_deleted is null
then 1 else 0 end) is_removed
from (
with min_max as
(select id,min(upddate) mindate,max(upddate) maxdate
from myTable
group by id)
select t.id,
t.subid,
t.upddate,
case when t.upddate=m.mindate
then 1 else 0 end is_mindte,
case when t.upddate=m.maxdate
then 1 else 0 end is_maxdte,
lag(t.subid) over (partition by t.id, t.subid order by t.upddate) is_added,
lead(t.subid) over (partition by t.id, t.subid order by t.upddate) is_deleted
from myTable t, min_max m
where t.id=m.id) s
order by s.id,
s.upddate,
s.subid
sample result:
ID SUBID UPDDATE IS_NEW IS_REMOVED
1 a 2016-03-11T00:00:00Z 0 0
1 b 2016-03-11T00:00:00Z 0 0
1 c 2016-03-11T00:00:00Z 0 0
1 a 2016-03-12T00:00:00Z 0 0
1 b 2016-03-12T00:00:00Z 0 0
1 c 2016-03-12T00:00:00Z 0 1
1 d 2016-03-12T00:00:00Z 1 0
1 a 2016-03-13T00:00:00Z 0 0
1 b 2016-03-13T00:00:00Z 0 0
1 d 2016-03-13T00:00:00Z 0 0
2 a 2016-03-11T00:00:00Z 0 0
2 b 2016-03-11T00:00:00Z 0 0
2 c 2016-03-11T00:00:00Z 0 0