How to get the Max date before a Cut-Off value from the same row?










1















I apologise for the vague question. I have been trying to wrap my head around this query for some time now. A table I have to work with in my company shows the shipment id (id), status codes, the manual values typed in for those statuses and the timestamp. The thing is a bit of a mess. The table contains a lot of unnecessary columns but will break it down below.



SELECT
id,
stat_code,
event_date,
insert_date
FROM
table


The above code returns multiple same stat_code(s) but with different insert_date(s). I was requested to perform an analysis on only the last manual inputs for each id so my next table looked like this:



WITH
last_status AS (SELECT
id,
stat_code,
event_date,
insert_date
ROW_NUMBER() OVER (PARTITION BY id, stat_code ORDER BY insert_date DESC) RN
FROM
table)

SELECT
id,
stat_1.event_date
FROM
table2
LEFT JOIN last_status stat_1 ON table2.id=stat_1.id AND stat_1.stat_code='stat 1' AND stat_1.RN=1


This allows me to add as many statuses I need to the second SELECT statement by recycling the last_status table always selecting RN to be 1.
For a different project I need the last status which was inserted before a different status (which can also be inserted multiple times. The agreement was to compare against the first insertion).
Lets say the event_date for stat_1 is an estimated date when a shipment should arrive to the destination and the event_date for stat_2 is the actual arrival date. My company wants to see how accurate was the estimated value against the actual value. There were some instances where stat_1 was updated after stat_2 but we want to compare only the event_date for stat_1 for which the insert_date <= event_date for first inserted stat_2. This is what I've done so far



WITH
first_status AS (SELECT
id,
stat_code,
event_date,
insert_date,
ROW_NUMBER() OVER (PARTITION BY id, stat_code ORDER BY insert_date ASC) RN
FROM
table),

last_stat_1 AS (SELECT * FROM (SELECT
t.id,
t.event_date,
ROW_NUMBER() OVER (PARTITION BY t.id, t.stat_code ORDER BY t.insert_date DESC) RN
FROM
table t
LEFT JOIN first_status stat_2 ON t.id=stat_2.id and stat_2.stat_code='stat 2' AND RN=1
WHERE
t.stat_code='stat 1' and (t.insert_date < stat_2.event_date OR stat_2.event_date IS NULL) WHERE RN=1)

SELECT
id,
stat_1.event_date
FROM
table2
LEFT JOIN last_stat_1 stat_1 ON table2.id=stat_1.id


This approach is not that clean nor performing well. If I need to add a different status, then I would have to write another table. I would like to have a way to either write a function somehow to perform the following calculation so whenever a new status needs to be mapped into my report I could just recycle the function last_before(). How do I create such a function to get the below result?



SELECT
id,
last_before(stat_1,stat_2) last_stat_1
FROM


Or somehow get the first table and only allow 'stat 1' (s) - all of them which were inserted before the first 'stat 2' (and rules for other statuses).
So in the below example I would like to not see row 3 and 4 because they were inserted on the 15-aug but the event_date for stat 2 was the 14-aug.



id stat_code event_date insert_date
x stat 8 12-AUG-16 16-SEP-16
x stat 7 18-AUG-16 18-AUG-16
x stat 1 14-AUG-16 15-AUG-16
x stat 1 15-AUG-16 15-AUG-16
x stat 2 14-AUG-16 15-AUG-16
x stat 6 08-AUG-16 10-AUG-16
x stat 5 09-AUG-16 10-AUG-16
x stat 4 11-AUG-16 04-AUG-16
x stat 3 23-AUG-16 04-AUG-16
x stat 1 15-AUG-16 04-AUG-16
x stat 1 13-AUG-16 02-AUG-16
x stat 4 09-AUG-16 02-AUG-16
x stat 3 21-AUG-16 02-AUG-16









share|improve this question



















  • 1





    I would find this so much easier to follow with sample data and an explanation of what columns you want to add/change.

    – Gordon Linoff
    Nov 12 '18 at 13:26











  • Hi @GordonLinoff. Please find sample data at the bottom of the description as well as explanation of what changes I want to have.

    – Andrei Budaes
    Nov 12 '18 at 17:36











  • Ok let me explain in a different way. Imagine you order something on Amazon and you get a few notifications if the estimated delivery changed. That is what the event_date where stat_code = 'stat 1' is for me. Once you sign for your order that is my event_date where stat_code = 'stat 2'.

    – Andrei Budaes
    Nov 12 '18 at 18:01











  • The current setup allows the planners to still insert the estimate after the arrival and I want to discourage that by measuring how accurate was the actual arrival date vs the last date they inserted before the actual. Later when this will become a standard procedure we can implement a condition which would not allow them to send updates after we get an actual but at the moment we have issues with them sending the estimates all together.

    – Andrei Budaes
    Nov 12 '18 at 18:01











  • Another way to explain it simple, an id is like an order...it has multiple stat_codes corresponding to certain events. the event_date is a manual inputed value, the insert_date is the timestamp. I want to ge the latest update for each event before the next event kicks in.

    – Andrei Budaes
    Nov 12 '18 at 18:01















1















I apologise for the vague question. I have been trying to wrap my head around this query for some time now. A table I have to work with in my company shows the shipment id (id), status codes, the manual values typed in for those statuses and the timestamp. The thing is a bit of a mess. The table contains a lot of unnecessary columns but will break it down below.



SELECT
id,
stat_code,
event_date,
insert_date
FROM
table


The above code returns multiple same stat_code(s) but with different insert_date(s). I was requested to perform an analysis on only the last manual inputs for each id so my next table looked like this:



WITH
last_status AS (SELECT
id,
stat_code,
event_date,
insert_date
ROW_NUMBER() OVER (PARTITION BY id, stat_code ORDER BY insert_date DESC) RN
FROM
table)

SELECT
id,
stat_1.event_date
FROM
table2
LEFT JOIN last_status stat_1 ON table2.id=stat_1.id AND stat_1.stat_code='stat 1' AND stat_1.RN=1


This allows me to add as many statuses I need to the second SELECT statement by recycling the last_status table always selecting RN to be 1.
For a different project I need the last status which was inserted before a different status (which can also be inserted multiple times. The agreement was to compare against the first insertion).
Lets say the event_date for stat_1 is an estimated date when a shipment should arrive to the destination and the event_date for stat_2 is the actual arrival date. My company wants to see how accurate was the estimated value against the actual value. There were some instances where stat_1 was updated after stat_2 but we want to compare only the event_date for stat_1 for which the insert_date <= event_date for first inserted stat_2. This is what I've done so far



WITH
first_status AS (SELECT
id,
stat_code,
event_date,
insert_date,
ROW_NUMBER() OVER (PARTITION BY id, stat_code ORDER BY insert_date ASC) RN
FROM
table),

last_stat_1 AS (SELECT * FROM (SELECT
t.id,
t.event_date,
ROW_NUMBER() OVER (PARTITION BY t.id, t.stat_code ORDER BY t.insert_date DESC) RN
FROM
table t
LEFT JOIN first_status stat_2 ON t.id=stat_2.id and stat_2.stat_code='stat 2' AND RN=1
WHERE
t.stat_code='stat 1' and (t.insert_date < stat_2.event_date OR stat_2.event_date IS NULL) WHERE RN=1)

SELECT
id,
stat_1.event_date
FROM
table2
LEFT JOIN last_stat_1 stat_1 ON table2.id=stat_1.id


This approach is not that clean nor performing well. If I need to add a different status, then I would have to write another table. I would like to have a way to either write a function somehow to perform the following calculation so whenever a new status needs to be mapped into my report I could just recycle the function last_before(). How do I create such a function to get the below result?



SELECT
id,
last_before(stat_1,stat_2) last_stat_1
FROM


Or somehow get the first table and only allow 'stat 1' (s) - all of them which were inserted before the first 'stat 2' (and rules for other statuses).
So in the below example I would like to not see row 3 and 4 because they were inserted on the 15-aug but the event_date for stat 2 was the 14-aug.



id stat_code event_date insert_date
x stat 8 12-AUG-16 16-SEP-16
x stat 7 18-AUG-16 18-AUG-16
x stat 1 14-AUG-16 15-AUG-16
x stat 1 15-AUG-16 15-AUG-16
x stat 2 14-AUG-16 15-AUG-16
x stat 6 08-AUG-16 10-AUG-16
x stat 5 09-AUG-16 10-AUG-16
x stat 4 11-AUG-16 04-AUG-16
x stat 3 23-AUG-16 04-AUG-16
x stat 1 15-AUG-16 04-AUG-16
x stat 1 13-AUG-16 02-AUG-16
x stat 4 09-AUG-16 02-AUG-16
x stat 3 21-AUG-16 02-AUG-16









share|improve this question



















  • 1





    I would find this so much easier to follow with sample data and an explanation of what columns you want to add/change.

    – Gordon Linoff
    Nov 12 '18 at 13:26











  • Hi @GordonLinoff. Please find sample data at the bottom of the description as well as explanation of what changes I want to have.

    – Andrei Budaes
    Nov 12 '18 at 17:36











  • Ok let me explain in a different way. Imagine you order something on Amazon and you get a few notifications if the estimated delivery changed. That is what the event_date where stat_code = 'stat 1' is for me. Once you sign for your order that is my event_date where stat_code = 'stat 2'.

    – Andrei Budaes
    Nov 12 '18 at 18:01











  • The current setup allows the planners to still insert the estimate after the arrival and I want to discourage that by measuring how accurate was the actual arrival date vs the last date they inserted before the actual. Later when this will become a standard procedure we can implement a condition which would not allow them to send updates after we get an actual but at the moment we have issues with them sending the estimates all together.

    – Andrei Budaes
    Nov 12 '18 at 18:01











  • Another way to explain it simple, an id is like an order...it has multiple stat_codes corresponding to certain events. the event_date is a manual inputed value, the insert_date is the timestamp. I want to ge the latest update for each event before the next event kicks in.

    – Andrei Budaes
    Nov 12 '18 at 18:01













1












1








1








I apologise for the vague question. I have been trying to wrap my head around this query for some time now. A table I have to work with in my company shows the shipment id (id), status codes, the manual values typed in for those statuses and the timestamp. The thing is a bit of a mess. The table contains a lot of unnecessary columns but will break it down below.



SELECT
id,
stat_code,
event_date,
insert_date
FROM
table


The above code returns multiple same stat_code(s) but with different insert_date(s). I was requested to perform an analysis on only the last manual inputs for each id so my next table looked like this:



WITH
last_status AS (SELECT
id,
stat_code,
event_date,
insert_date
ROW_NUMBER() OVER (PARTITION BY id, stat_code ORDER BY insert_date DESC) RN
FROM
table)

SELECT
id,
stat_1.event_date
FROM
table2
LEFT JOIN last_status stat_1 ON table2.id=stat_1.id AND stat_1.stat_code='stat 1' AND stat_1.RN=1


This allows me to add as many statuses I need to the second SELECT statement by recycling the last_status table always selecting RN to be 1.
For a different project I need the last status which was inserted before a different status (which can also be inserted multiple times. The agreement was to compare against the first insertion).
Lets say the event_date for stat_1 is an estimated date when a shipment should arrive to the destination and the event_date for stat_2 is the actual arrival date. My company wants to see how accurate was the estimated value against the actual value. There were some instances where stat_1 was updated after stat_2 but we want to compare only the event_date for stat_1 for which the insert_date <= event_date for first inserted stat_2. This is what I've done so far



WITH
first_status AS (SELECT
id,
stat_code,
event_date,
insert_date,
ROW_NUMBER() OVER (PARTITION BY id, stat_code ORDER BY insert_date ASC) RN
FROM
table),

last_stat_1 AS (SELECT * FROM (SELECT
t.id,
t.event_date,
ROW_NUMBER() OVER (PARTITION BY t.id, t.stat_code ORDER BY t.insert_date DESC) RN
FROM
table t
LEFT JOIN first_status stat_2 ON t.id=stat_2.id and stat_2.stat_code='stat 2' AND RN=1
WHERE
t.stat_code='stat 1' and (t.insert_date < stat_2.event_date OR stat_2.event_date IS NULL) WHERE RN=1)

SELECT
id,
stat_1.event_date
FROM
table2
LEFT JOIN last_stat_1 stat_1 ON table2.id=stat_1.id


This approach is not that clean nor performing well. If I need to add a different status, then I would have to write another table. I would like to have a way to either write a function somehow to perform the following calculation so whenever a new status needs to be mapped into my report I could just recycle the function last_before(). How do I create such a function to get the below result?



SELECT
id,
last_before(stat_1,stat_2) last_stat_1
FROM


Or somehow get the first table and only allow 'stat 1' (s) - all of them which were inserted before the first 'stat 2' (and rules for other statuses).
So in the below example I would like to not see row 3 and 4 because they were inserted on the 15-aug but the event_date for stat 2 was the 14-aug.



id stat_code event_date insert_date
x stat 8 12-AUG-16 16-SEP-16
x stat 7 18-AUG-16 18-AUG-16
x stat 1 14-AUG-16 15-AUG-16
x stat 1 15-AUG-16 15-AUG-16
x stat 2 14-AUG-16 15-AUG-16
x stat 6 08-AUG-16 10-AUG-16
x stat 5 09-AUG-16 10-AUG-16
x stat 4 11-AUG-16 04-AUG-16
x stat 3 23-AUG-16 04-AUG-16
x stat 1 15-AUG-16 04-AUG-16
x stat 1 13-AUG-16 02-AUG-16
x stat 4 09-AUG-16 02-AUG-16
x stat 3 21-AUG-16 02-AUG-16









share|improve this question
















I apologise for the vague question. I have been trying to wrap my head around this query for some time now. A table I have to work with in my company shows the shipment id (id), status codes, the manual values typed in for those statuses and the timestamp. The thing is a bit of a mess. The table contains a lot of unnecessary columns but will break it down below.



SELECT
id,
stat_code,
event_date,
insert_date
FROM
table


The above code returns multiple same stat_code(s) but with different insert_date(s). I was requested to perform an analysis on only the last manual inputs for each id so my next table looked like this:



WITH
last_status AS (SELECT
id,
stat_code,
event_date,
insert_date
ROW_NUMBER() OVER (PARTITION BY id, stat_code ORDER BY insert_date DESC) RN
FROM
table)

SELECT
id,
stat_1.event_date
FROM
table2
LEFT JOIN last_status stat_1 ON table2.id=stat_1.id AND stat_1.stat_code='stat 1' AND stat_1.RN=1


This allows me to add as many statuses I need to the second SELECT statement by recycling the last_status table always selecting RN to be 1.
For a different project I need the last status which was inserted before a different status (which can also be inserted multiple times. The agreement was to compare against the first insertion).
Lets say the event_date for stat_1 is an estimated date when a shipment should arrive to the destination and the event_date for stat_2 is the actual arrival date. My company wants to see how accurate was the estimated value against the actual value. There were some instances where stat_1 was updated after stat_2 but we want to compare only the event_date for stat_1 for which the insert_date <= event_date for first inserted stat_2. This is what I've done so far



WITH
first_status AS (SELECT
id,
stat_code,
event_date,
insert_date,
ROW_NUMBER() OVER (PARTITION BY id, stat_code ORDER BY insert_date ASC) RN
FROM
table),

last_stat_1 AS (SELECT * FROM (SELECT
t.id,
t.event_date,
ROW_NUMBER() OVER (PARTITION BY t.id, t.stat_code ORDER BY t.insert_date DESC) RN
FROM
table t
LEFT JOIN first_status stat_2 ON t.id=stat_2.id and stat_2.stat_code='stat 2' AND RN=1
WHERE
t.stat_code='stat 1' and (t.insert_date < stat_2.event_date OR stat_2.event_date IS NULL) WHERE RN=1)

SELECT
id,
stat_1.event_date
FROM
table2
LEFT JOIN last_stat_1 stat_1 ON table2.id=stat_1.id


This approach is not that clean nor performing well. If I need to add a different status, then I would have to write another table. I would like to have a way to either write a function somehow to perform the following calculation so whenever a new status needs to be mapped into my report I could just recycle the function last_before(). How do I create such a function to get the below result?



SELECT
id,
last_before(stat_1,stat_2) last_stat_1
FROM


Or somehow get the first table and only allow 'stat 1' (s) - all of them which were inserted before the first 'stat 2' (and rules for other statuses).
So in the below example I would like to not see row 3 and 4 because they were inserted on the 15-aug but the event_date for stat 2 was the 14-aug.



id stat_code event_date insert_date
x stat 8 12-AUG-16 16-SEP-16
x stat 7 18-AUG-16 18-AUG-16
x stat 1 14-AUG-16 15-AUG-16
x stat 1 15-AUG-16 15-AUG-16
x stat 2 14-AUG-16 15-AUG-16
x stat 6 08-AUG-16 10-AUG-16
x stat 5 09-AUG-16 10-AUG-16
x stat 4 11-AUG-16 04-AUG-16
x stat 3 23-AUG-16 04-AUG-16
x stat 1 15-AUG-16 04-AUG-16
x stat 1 13-AUG-16 02-AUG-16
x stat 4 09-AUG-16 02-AUG-16
x stat 3 21-AUG-16 02-AUG-16






sql oracle






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 12 '18 at 13:23









a_horse_with_no_name

294k46449543




294k46449543










asked Nov 12 '18 at 13:19









Andrei BudaesAndrei Budaes

61




61







  • 1





    I would find this so much easier to follow with sample data and an explanation of what columns you want to add/change.

    – Gordon Linoff
    Nov 12 '18 at 13:26











  • Hi @GordonLinoff. Please find sample data at the bottom of the description as well as explanation of what changes I want to have.

    – Andrei Budaes
    Nov 12 '18 at 17:36











  • Ok let me explain in a different way. Imagine you order something on Amazon and you get a few notifications if the estimated delivery changed. That is what the event_date where stat_code = 'stat 1' is for me. Once you sign for your order that is my event_date where stat_code = 'stat 2'.

    – Andrei Budaes
    Nov 12 '18 at 18:01











  • The current setup allows the planners to still insert the estimate after the arrival and I want to discourage that by measuring how accurate was the actual arrival date vs the last date they inserted before the actual. Later when this will become a standard procedure we can implement a condition which would not allow them to send updates after we get an actual but at the moment we have issues with them sending the estimates all together.

    – Andrei Budaes
    Nov 12 '18 at 18:01











  • Another way to explain it simple, an id is like an order...it has multiple stat_codes corresponding to certain events. the event_date is a manual inputed value, the insert_date is the timestamp. I want to ge the latest update for each event before the next event kicks in.

    – Andrei Budaes
    Nov 12 '18 at 18:01












  • 1





    I would find this so much easier to follow with sample data and an explanation of what columns you want to add/change.

    – Gordon Linoff
    Nov 12 '18 at 13:26











  • Hi @GordonLinoff. Please find sample data at the bottom of the description as well as explanation of what changes I want to have.

    – Andrei Budaes
    Nov 12 '18 at 17:36











  • Ok let me explain in a different way. Imagine you order something on Amazon and you get a few notifications if the estimated delivery changed. That is what the event_date where stat_code = 'stat 1' is for me. Once you sign for your order that is my event_date where stat_code = 'stat 2'.

    – Andrei Budaes
    Nov 12 '18 at 18:01











  • The current setup allows the planners to still insert the estimate after the arrival and I want to discourage that by measuring how accurate was the actual arrival date vs the last date they inserted before the actual. Later when this will become a standard procedure we can implement a condition which would not allow them to send updates after we get an actual but at the moment we have issues with them sending the estimates all together.

    – Andrei Budaes
    Nov 12 '18 at 18:01











  • Another way to explain it simple, an id is like an order...it has multiple stat_codes corresponding to certain events. the event_date is a manual inputed value, the insert_date is the timestamp. I want to ge the latest update for each event before the next event kicks in.

    – Andrei Budaes
    Nov 12 '18 at 18:01







1




1





I would find this so much easier to follow with sample data and an explanation of what columns you want to add/change.

– Gordon Linoff
Nov 12 '18 at 13:26





I would find this so much easier to follow with sample data and an explanation of what columns you want to add/change.

– Gordon Linoff
Nov 12 '18 at 13:26













Hi @GordonLinoff. Please find sample data at the bottom of the description as well as explanation of what changes I want to have.

– Andrei Budaes
Nov 12 '18 at 17:36





Hi @GordonLinoff. Please find sample data at the bottom of the description as well as explanation of what changes I want to have.

– Andrei Budaes
Nov 12 '18 at 17:36













Ok let me explain in a different way. Imagine you order something on Amazon and you get a few notifications if the estimated delivery changed. That is what the event_date where stat_code = 'stat 1' is for me. Once you sign for your order that is my event_date where stat_code = 'stat 2'.

– Andrei Budaes
Nov 12 '18 at 18:01





Ok let me explain in a different way. Imagine you order something on Amazon and you get a few notifications if the estimated delivery changed. That is what the event_date where stat_code = 'stat 1' is for me. Once you sign for your order that is my event_date where stat_code = 'stat 2'.

– Andrei Budaes
Nov 12 '18 at 18:01













The current setup allows the planners to still insert the estimate after the arrival and I want to discourage that by measuring how accurate was the actual arrival date vs the last date they inserted before the actual. Later when this will become a standard procedure we can implement a condition which would not allow them to send updates after we get an actual but at the moment we have issues with them sending the estimates all together.

– Andrei Budaes
Nov 12 '18 at 18:01





The current setup allows the planners to still insert the estimate after the arrival and I want to discourage that by measuring how accurate was the actual arrival date vs the last date they inserted before the actual. Later when this will become a standard procedure we can implement a condition which would not allow them to send updates after we get an actual but at the moment we have issues with them sending the estimates all together.

– Andrei Budaes
Nov 12 '18 at 18:01













Another way to explain it simple, an id is like an order...it has multiple stat_codes corresponding to certain events. the event_date is a manual inputed value, the insert_date is the timestamp. I want to ge the latest update for each event before the next event kicks in.

– Andrei Budaes
Nov 12 '18 at 18:01





Another way to explain it simple, an id is like an order...it has multiple stat_codes corresponding to certain events. the event_date is a manual inputed value, the insert_date is the timestamp. I want to ge the latest update for each event before the next event kicks in.

– Andrei Budaes
Nov 12 '18 at 18:01












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