SQL 3 IDs Change Over Time
I have a logic question which I've been stuck on for a while.
Suppose there is one customer that can be serviced in two separate places, for place A they receive A_ID and place B they receive B_ID. There is a 3rd ID which I will call C_ID which links the two customers together to give a holistic view if they are on both platforms. The customers can be buying from place A only, place B only, or place A and B at the same time.
I want to create a volatile table to back fill populating with A_ID, B_ID, C_ID, on all days if if they are not null.
Currently the data can look like any of the following in the same table:
EXAMPLE A
Date , A_ID , B_ID , C_ID
---------------------------------------------
01/01/17 , 145 , ,
02/01/17 , 145 , ,
03/01/17 , 145 , 201501 , 601888
04/01/17 , 145 , 201502 , 601888
05/01/17 , 145 , 201502 , 601888
OR
EXAMPLE B
Date , A_ID , B_ID , C_ID
---------------------------------------------
01/01/17 , 198 , ,
02/01/17 , 198 , ,
03/01/17 , 198 , ,
04/01/17 , 198 , ,
05/01/17 , 198 , ,
OR
EXAMPLE C
Date , A_ID , B_ID , C_ID
---------------------------------------------
01/01/17 , , 567222 ,
02/01/17 , , 567222 ,
03/01/17 , , 567222 ,
04/01/17 , , 567222 ,
05/01/17 , , 567222 ,
I tried a window function:
SELECT
calendar_date,
MAX(A_ID) OVER(PARTITION BY C_ID) A_ID,
MAX(B_ID) OVER(PARTITION BY C_ID) B_ID,
MAX(C_ID) OVER(PARTITION BY B_ID,A_ID) C_ID,
FROM TABLE A
However this removes all examples which have not yet used both platforms, i.e. example B and example C will not show.
Any ideas?
sql teradata
edited Nov 16 '18 at 16:54
Mihai Chelaru
2,14291022
asked Nov 16 '18 at 16:40
flippinart
1
|
show 3 more comments
I have a logic question which I've been stuck on for a while.
Suppose there is one customer that can be serviced in two separate places, for place A they receive A_ID and place B they receive B_ID. There is a 3rd ID which I will call C_ID which links the two customers together to give a holistic view if they are on both platforms. The customers can be buying from place A only, place B only, or place A and B at the same time.
I want to create a volatile table to back fill populating with A_ID, B_ID, C_ID, on all days if if they are not null.
Currently the data can look like any of the following in the same table:
EXAMPLE A
Date , A_ID , B_ID , C_ID
---------------------------------------------
01/01/17 , 145 , ,
02/01/17 , 145 , ,
03/01/17 , 145 , 201501 , 601888
04/01/17 , 145 , 201502 , 601888
05/01/17 , 145 , 201502 , 601888
OR
EXAMPLE B
Date , A_ID , B_ID , C_ID
---------------------------------------------
01/01/17 , 198 , ,
02/01/17 , 198 , ,
03/01/17 , 198 , ,
04/01/17 , 198 , ,
05/01/17 , 198 , ,
OR
EXAMPLE C
Date , A_ID , B_ID , C_ID
---------------------------------------------
01/01/17 , , 567222 ,
02/01/17 , , 567222 ,
03/01/17 , , 567222 ,
04/01/17 , , 567222 ,
05/01/17 , , 567222 ,
I tried a window function:
SELECT
calendar_date,
MAX(A_ID) OVER(PARTITION BY C_ID) A_ID,
MAX(B_ID) OVER(PARTITION BY C_ID) B_ID,
MAX(C_ID) OVER(PARTITION BY B_ID,A_ID) C_ID,
FROM TABLE A
However this removes all examples which have not yet used both platforms, i.e. example B and example C will not show.
Any ideas?
sql teradata
edited Nov 16 '18 at 16:54
Mihai Chelaru
2,14291022
asked Nov 16 '18 at 16:40
flippinart
1
Hi, and welcome to Stack Overflow. What is the purpose of back filling the data? Is it just to ensure you have all their IDs available in every row?
– Schwern
Nov 16 '18 at 16:54
There are scripts that run a lookback view at each customer later in the process for customer segmentation and analysis - without consistent IDs for each customer in all months previous erroneous results are produced
– flippinart
Nov 16 '18 at 17:08
So yes - just to be clear, I want all "their" IDs to show in everyone. I.E. if a customer has B_ID NOT NULL in the future but NULL in the past, I want that NOT NULL value to show in the past. And thank you!
– flippinart
Nov 16 '18 at 17:21
What result do you expect when there's no id for a place, e.g.B_IDandC_IDin example B?
– dnoeth
Nov 16 '18 at 20:14
Hi @dnoeth thanks for your input - I would expect NULL.
– flippinart
Nov 19 '18 at 10:23
|
show 3 more comments
I have a logic question which I've been stuck on for a while.
Suppose there is one customer that can be serviced in two separate places, for place A they receive A_ID and place B they receive B_ID. There is a 3rd ID which I will call C_ID which links the two customers together to give a holistic view if they are on both platforms. The customers can be buying from place A only, place B only, or place A and B at the same time.
I want to create a volatile table to back fill populating with A_ID, B_ID, C_ID, on all days if if they are not null.
Currently the data can look like any of the following in the same table:
EXAMPLE A
Date , A_ID , B_ID , C_ID
---------------------------------------------
01/01/17 , 145 , ,
02/01/17 , 145 , ,
03/01/17 , 145 , 201501 , 601888
04/01/17 , 145 , 201502 , 601888
05/01/17 , 145 , 201502 , 601888
OR
EXAMPLE B
Date , A_ID , B_ID , C_ID
---------------------------------------------
01/01/17 , 198 , ,
02/01/17 , 198 , ,
03/01/17 , 198 , ,
04/01/17 , 198 , ,
05/01/17 , 198 , ,
OR
EXAMPLE C
Date , A_ID , B_ID , C_ID
---------------------------------------------
01/01/17 , , 567222 ,
02/01/17 , , 567222 ,
03/01/17 , , 567222 ,
04/01/17 , , 567222 ,
05/01/17 , , 567222 ,
I tried a window function:
SELECT
calendar_date,
MAX(A_ID) OVER(PARTITION BY C_ID) A_ID,
MAX(B_ID) OVER(PARTITION BY C_ID) B_ID,
MAX(C_ID) OVER(PARTITION BY B_ID,A_ID) C_ID,
FROM TABLE A
However this removes all examples which have not yet used both platforms, i.e. example B and example C will not show.
Any ideas?
sql teradata
edited Nov 16 '18 at 16:54
Mihai Chelaru
2,14291022
asked Nov 16 '18 at 16:40
flippinart
1
I have a logic question which I've been stuck on for a while.
Suppose there is one customer that can be serviced in two separate places, for place A they receive A_ID and place B they receive B_ID. There is a 3rd ID which I will call C_ID which links the two customers together to give a holistic view if they are on both platforms. The customers can be buying from place A only, place B only, or place A and B at the same time.
I want to create a volatile table to back fill populating with A_ID, B_ID, C_ID, on all days if if they are not null.
Currently the data can look like any of the following in the same table:
EXAMPLE A
Date , A_ID , B_ID , C_ID
---------------------------------------------
01/01/17 , 145 , ,
02/01/17 , 145 , ,
03/01/17 , 145 , 201501 , 601888
04/01/17 , 145 , 201502 , 601888
05/01/17 , 145 , 201502 , 601888
OR
EXAMPLE B
Date , A_ID , B_ID , C_ID
---------------------------------------------
01/01/17 , 198 , ,
02/01/17 , 198 , ,
03/01/17 , 198 , ,
04/01/17 , 198 , ,
05/01/17 , 198 , ,
OR
EXAMPLE C
Date , A_ID , B_ID , C_ID
---------------------------------------------
01/01/17 , , 567222 ,
02/01/17 , , 567222 ,
03/01/17 , , 567222 ,
04/01/17 , , 567222 ,
05/01/17 , , 567222 ,
I tried a window function:
SELECT
calendar_date,
MAX(A_ID) OVER(PARTITION BY C_ID) A_ID,
MAX(B_ID) OVER(PARTITION BY C_ID) B_ID,
MAX(C_ID) OVER(PARTITION BY B_ID,A_ID) C_ID,
FROM TABLE A
However this removes all examples which have not yet used both platforms, i.e. example B and example C will not show.
Any ideas?
sql teradata
sql teradata
edited Nov 16 '18 at 16:54
Mihai Chelaru
2,14291022
asked Nov 16 '18 at 16:40
flippinart
1
edited Nov 16 '18 at 16:54
Mihai Chelaru
2,14291022
asked Nov 16 '18 at 16:40
flippinart
1
edited Nov 16 '18 at 16:54
Mihai Chelaru
2,14291022
edited Nov 16 '18 at 16:54
Mihai Chelaru
2,14291022
edited Nov 16 '18 at 16:54
Mihai Chelaru
2,14291022
2,14291022
asked Nov 16 '18 at 16:40
flippinart
1
asked Nov 16 '18 at 16:40
flippinart
1
asked Nov 16 '18 at 16:40
flippinart
1
1
Hi, and welcome to Stack Overflow. What is the purpose of back filling the data? Is it just to ensure you have all their IDs available in every row?
– Schwern
Nov 16 '18 at 16:54
There are scripts that run a lookback view at each customer later in the process for customer segmentation and analysis - without consistent IDs for each customer in all months previous erroneous results are produced
– flippinart
Nov 16 '18 at 17:08
So yes - just to be clear, I want all "their" IDs to show in everyone. I.E. if a customer has B_ID NOT NULL in the future but NULL in the past, I want that NOT NULL value to show in the past. And thank you!
– flippinart
Nov 16 '18 at 17:21
What result do you expect when there's no id for a place, e.g.B_IDandC_IDin example B?
– dnoeth
Nov 16 '18 at 20:14
Hi @dnoeth thanks for your input - I would expect NULL.
– flippinart
Nov 19 '18 at 10:23
|
show 3 more comments
Hi, and welcome to Stack Overflow. What is the purpose of back filling the data? Is it just to ensure you have all their IDs available in every row?
– Schwern
Nov 16 '18 at 16:54
There are scripts that run a lookback view at each customer later in the process for customer segmentation and analysis - without consistent IDs for each customer in all months previous erroneous results are produced
– flippinart
Nov 16 '18 at 17:08
So yes - just to be clear, I want all "their" IDs to show in everyone. I.E. if a customer has B_ID NOT NULL in the future but NULL in the past, I want that NOT NULL value to show in the past. And thank you!
– flippinart
Nov 16 '18 at 17:21
What result do you expect when there's no id for a place, e.g.B_IDandC_IDin example B?
– dnoeth
Nov 16 '18 at 20:14
Hi @dnoeth thanks for your input - I would expect NULL.
– flippinart
Nov 19 '18 at 10:23
Hi, and welcome to Stack Overflow. What is the purpose of back filling the data? Is it just to ensure you have all their IDs available in every row?
– Schwern
Nov 16 '18 at 16:54
Hi, and welcome to Stack Overflow. What is the purpose of back filling the data? Is it just to ensure you have all their IDs available in every row?
– Schwern
Nov 16 '18 at 16:54
There are scripts that run a lookback view at each customer later in the process for customer segmentation and analysis - without consistent IDs for each customer in all months previous erroneous results are produced
– flippinart
Nov 16 '18 at 17:08
There are scripts that run a lookback view at each customer later in the process for customer segmentation and analysis - without consistent IDs for each customer in all months previous erroneous results are produced
– flippinart
Nov 16 '18 at 17:08
So yes - just to be clear, I want all "their" IDs to show in everyone. I.E. if a customer has B_ID NOT NULL in the future but NULL in the past, I want that NOT NULL value to show in the past. And thank you!
– flippinart
Nov 16 '18 at 17:21
So yes - just to be clear, I want all "their" IDs to show in everyone. I.E. if a customer has B_ID NOT NULL in the future but NULL in the past, I want that NOT NULL value to show in the past. And thank you!
– flippinart
Nov 16 '18 at 17:21
What result do you expect when there's no id for a place, e.g.
B_ID and C_ID in example B?– dnoeth
Nov 16 '18 at 20:14
What result do you expect when there's no id for a place, e.g.
B_ID and C_ID in example B?– dnoeth
Nov 16 '18 at 20:14
Hi @dnoeth thanks for your input - I would expect NULL.
– flippinart
Nov 19 '18 at 10:23
Hi @dnoeth thanks for your input - I would expect NULL.
– flippinart
Nov 19 '18 at 10:23
|
show 3 more comments
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Hi, and welcome to Stack Overflow. What is the purpose of back filling the data? Is it just to ensure you have all their IDs available in every row?
– Schwern
Nov 16 '18 at 16:54
There are scripts that run a lookback view at each customer later in the process for customer segmentation and analysis - without consistent IDs for each customer in all months previous erroneous results are produced
– flippinart
Nov 16 '18 at 17:08
So yes - just to be clear, I want all "their" IDs to show in everyone. I.E. if a customer has B_ID NOT NULL in the future but NULL in the past, I want that NOT NULL value to show in the past. And thank you!
– flippinart
Nov 16 '18 at 17:21
What result do you expect when there's no id for a place, e.g.
B_IDandC_IDin example B?– dnoeth
Nov 16 '18 at 20:14
Hi @dnoeth thanks for your input - I would expect NULL.
– flippinart
Nov 19 '18 at 10:23