How to model state change timeline
I've got an app where users can place orders for recurring delivery of a particular service.
The orders
table has columns service_id
and state
, where service_id
links to the service the user has ordered and state
can be active
or inactive
, reflecting whether the user currently wants to receive that service or not. Users can toggle orders on and off as they please.
When a user turns an order on or off (active/inactive) I need to track this, and I need to be able to query for whether an order was active or inactive on a given date.
My question is: What's the best way to to model something like this, specifically so that I can easily write a query like "all orders that were active on (date)"?
I've thought about making a orders_states
table with order_id
, state
, and date
, where each change create a row with the state that was set and the date it was set, but I'm not 100% sure about how I'd query it to get the past state on an arbitrary date, or if there's a better way to model this.
I'm testing / prototyping on this now, but I'm obviously not a SQL expert and would love some suggestions from the pros here. Thanks!
(I'm using Postgres 9.4.1.2 in case that matters, but I figure this is more of a generic SQL modeling question)
postgresql database-design relational-theory
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I've got an app where users can place orders for recurring delivery of a particular service.
The orders
table has columns service_id
and state
, where service_id
links to the service the user has ordered and state
can be active
or inactive
, reflecting whether the user currently wants to receive that service or not. Users can toggle orders on and off as they please.
When a user turns an order on or off (active/inactive) I need to track this, and I need to be able to query for whether an order was active or inactive on a given date.
My question is: What's the best way to to model something like this, specifically so that I can easily write a query like "all orders that were active on (date)"?
I've thought about making a orders_states
table with order_id
, state
, and date
, where each change create a row with the state that was set and the date it was set, but I'm not 100% sure about how I'd query it to get the past state on an arbitrary date, or if there's a better way to model this.
I'm testing / prototyping on this now, but I'm obviously not a SQL expert and would love some suggestions from the pros here. Thanks!
(I'm using Postgres 9.4.1.2 in case that matters, but I figure this is more of a generic SQL modeling question)
postgresql database-design relational-theory
bumped to the homepage by Community♦ 4 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
I've got an app where users can place orders for recurring delivery of a particular service.
The orders
table has columns service_id
and state
, where service_id
links to the service the user has ordered and state
can be active
or inactive
, reflecting whether the user currently wants to receive that service or not. Users can toggle orders on and off as they please.
When a user turns an order on or off (active/inactive) I need to track this, and I need to be able to query for whether an order was active or inactive on a given date.
My question is: What's the best way to to model something like this, specifically so that I can easily write a query like "all orders that were active on (date)"?
I've thought about making a orders_states
table with order_id
, state
, and date
, where each change create a row with the state that was set and the date it was set, but I'm not 100% sure about how I'd query it to get the past state on an arbitrary date, or if there's a better way to model this.
I'm testing / prototyping on this now, but I'm obviously not a SQL expert and would love some suggestions from the pros here. Thanks!
(I'm using Postgres 9.4.1.2 in case that matters, but I figure this is more of a generic SQL modeling question)
postgresql database-design relational-theory
I've got an app where users can place orders for recurring delivery of a particular service.
The orders
table has columns service_id
and state
, where service_id
links to the service the user has ordered and state
can be active
or inactive
, reflecting whether the user currently wants to receive that service or not. Users can toggle orders on and off as they please.
When a user turns an order on or off (active/inactive) I need to track this, and I need to be able to query for whether an order was active or inactive on a given date.
My question is: What's the best way to to model something like this, specifically so that I can easily write a query like "all orders that were active on (date)"?
I've thought about making a orders_states
table with order_id
, state
, and date
, where each change create a row with the state that was set and the date it was set, but I'm not 100% sure about how I'd query it to get the past state on an arbitrary date, or if there's a better way to model this.
I'm testing / prototyping on this now, but I'm obviously not a SQL expert and would love some suggestions from the pros here. Thanks!
(I'm using Postgres 9.4.1.2 in case that matters, but I figure this is more of a generic SQL modeling question)
postgresql database-design relational-theory
postgresql database-design relational-theory
edited Jun 12 '15 at 16:05
Colin 't Hart
6,43882533
6,43882533
asked Jun 12 '15 at 13:36
AndrewAndrew
1063
1063
bumped to the homepage by Community♦ 4 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ 4 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
add a comment |
1 Answer
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I guess you'll need an order state table. You can create a new row every time the state changes for an order (how you do this is up to you: triggers, SP or on the application layer). That table must have a non-null timestamp column to get the time the row was created.
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I guess you'll need an order state table. You can create a new row every time the state changes for an order (how you do this is up to you: triggers, SP or on the application layer). That table must have a non-null timestamp column to get the time the row was created.
add a comment |
I guess you'll need an order state table. You can create a new row every time the state changes for an order (how you do this is up to you: triggers, SP or on the application layer). That table must have a non-null timestamp column to get the time the row was created.
add a comment |
I guess you'll need an order state table. You can create a new row every time the state changes for an order (how you do this is up to you: triggers, SP or on the application layer). That table must have a non-null timestamp column to get the time the row was created.
I guess you'll need an order state table. You can create a new row every time the state changes for an order (how you do this is up to you: triggers, SP or on the application layer). That table must have a non-null timestamp column to get the time the row was created.
answered Jun 12 '15 at 14:24
Rui PachecoRui Pacheco
111
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