Thanks for the example, it was exactly what I was looking for.

On Friday, July 21, 2017 at 10:47:16 AM UTC-6, Mike Bayer wrote:
>
> On Fri, Jul 21, 2017 at 11:40 AM, Nathan Mooth <nat.d...@gmail.com 
> <javascript:>> wrote: 
> > So I have a tree-like data structure that I need to store in a way so 
> that I 
> > can see all children or all parents of a query as well as their relative 
> > depth from the query item. In the past I have been using the closure 
> table 
> > method demonstrated in this blog post, however now that I am switching 
> to 
> > sqlAlchemy I am wondering if there is a better way to do this. So 
> basically 
> > I am trying to figure out how to run a series of inserts on my closure 
> table 
> > whenever an item is added to the main table, as well as what would be 
> the 
> > best way to load the child or parent items of a query. 
>
> you'd likely want to use the same approaches illustrated in the nested 
> sets example at 
>
> http://docs.sqlalchemy.org/en/latest/_modules/examples/nested_sets/nested_sets.html
>  
> - basically intercept before_insert(), or after_insert(), the run the 
> additional SQL you need on the given connection within the flush 
> process.    The query approach is also illustrated there. 
>
> If you're just going for in-memory, "load a node, then access 
> node.children", and you don't need elaborate cross-depth searching and 
> set operations, then all of these approaches are far too complicated, 
> just use adjacency list. 
>
>
>
>
>
> > 
> > -- 
> > SQLAlchemy - 
> > The Python SQL Toolkit and Object Relational Mapper 
> > 
> > http://www.sqlalchemy.org/ 
> > 
> > To post example code, please provide an MCVE: Minimal, Complete, and 
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-- 
SQLAlchemy - 
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http://www.sqlalchemy.org/

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