Thanks a lot for detailed notes.

The problem with customization of foreign keys is on my TODO list. I hope 
to fix that before releasing version 1.0. That would solve the problem with 
SupervisorId and AnalystId. 

What you said about deeper result structure (race -> meeting -> venue) is 
very inspiring. You can't do that with this library (you can fetch records 
with their - potentially indirect - relations, but those relations won't 
have own relations included), but definitely it's something worth 
considering. I added it to my TODO list in the README but I don't have a 
clear idea about how to do it well yet. 

Cheers, 
Krzysiek

On Monday, February 29, 2016 at 12:54:31 PM UTC+8, Oliver George wrote:
>
> Oops, one more.
>
> There was also a Users table (Id, Username, ...)
>
> I didn't see a way to handle join from Races to Users based on 
> SupervisorId and AnalystId.  
>
>
> On Monday, 29 February 2016 15:52:48 UTC+11, Oliver George wrote:
>>
>> Thanks for the details.
>>
>> I did a little experimenting and it works as advertised.  Notes below 
>> show what I did and found.
>>
>> I was interested to see if this might be suitable as a simple om.next 
>> remote for a relational database.  Potentially fanciful but it's a topic of 
>> interest for me at the moment.
>>
>> I used an existing database so I had a semi interesting dataset to play 
>> with.  
>>
>> Races (Id, RaceNumber, RaceTime, MeetingId, SupervisorId, AnalystId...)
>> Meetings (Id, MeetingDate, MeetingTypeId, VenueId, JurisdictionId, ...)
>> Venues (Id, Name)
>> Jurisdiction (Id, Name, Code)
>>
>>
>> The table and foreign key naming conventions didn't match so I created 
>> views for each table.  If that was configurable then you'd open yourself to 
>> a wider audience.  (e.g. MeetingId vs meetings_id)
>>
>> It was easy to setup some associations
>>
>> (def associations
>>   {:meeting {:race         :has-many
>>              :jurisdiction :belongs-to
>>              :venue        :belongs-to}
>>    :race    {:meeting      :belongs-to
>>              :jurisdiction [:through :meeting :belongs-to]}
>>    :venue   {}})
>>
>> My queries all worked as expected.  
>>
>> (find-one db-state :meeting #{:race} [[:= :meeting.id 5617]])
>> (find-one db-state :meeting #{:venue} [[:= :meeting.id 5617]])
>> (find-one db-state :race #{:meeting :jurisdiction} [[:= :race.id 42792]])
>>
>> I couldn't see how I might pull data which requires three levels of 
>> information (e.g. race -> meeting -> venue).  I didn't dig deep enough to 
>> be sure.
>>
>> Incidentally, in case you haven't come across the datomic pull inspired 
>> om.next remote pull syntax this is what it might look like:
>>
>> [{:meeting [:race]}]
>> (find-one db-state :meeting #{:race} [])
>>
>> [({:meeting [:race]} [:= :meeting.id 5617])]
>> (find-one db-state :meeting #{:race} [[:= :meeting.id 5617]])
>>
>> [{:meeting [:venue]}]
>> (find-one db-state :meeting #{:venue} [[:= :meeting.id 5617]])
>>
>> [{:race [{:meeting [{:venue :jurisdiction}]}]}]
>>
>> Not prettier necessarily but allows for composing multiple queries into a 
>> request and for drilling deeper into available data.  
>>
>> cheers, Oliver
>>  
>>
>>
>>
>>
>>
>>
>> On Sunday, 28 February 2016 20:02:15 UTC+11, Krzysiek Herod wrote:
>>>
>>> Thanks Oliver for the feedback, 
>>>
>>> actually I came up with the idea of relational_mapper while working on a 
>>> project in which I had one "data-model" that contained all the database 
>>> related information, but the database related code contained a lot of 
>>> features, and I really like working with small, focused clojure libraries, 
>>> so in the end relational_mapper is as small as I could think of it. 
>>>
>>> Also as you can see in this commit: 
>>> https://github.com/netizer/relational_mapper/commit/6b4d79f92570bf723e4092d329978d484c01d2ab#diff-2b44df73d826687086fd1972295f8bd0L8
>>>  
>>> I actually was storing both: relations and fields in the same structure, 
>>> but I changed that because I needed "fields" only for migrations that I 
>>> used in tests, and because the whole structure was unnecessarily complex 
>>> (it was much easier to make mistake modifying the fields/associations 
>>> structure). 
>>>
>>> Relational Mapper is meant only for reading data because whenever I 
>>> tried to use complex structures to write data, I was unhappy with the 
>>> result (often you have to update indexes of related records after one of 
>>> them - with auto-increment field - is created, and there is a problem of 
>>> determining if the related record has to be created or updated).
>>>
>>> I didn't write compare/contrast points because I couldn't find similar 
>>> libraries in clojure. I mentioned ActiveRecord in README mostly because of 
>>> the wording in types of relations, but even ActiveRecord is very far from 
>>> Relational Mapper (it's much bigger, and has features that go way beyond 
>>> simple relational mapping). 
>>>
>>> Thanks again, 
>>> Krzysiek
>>>
>>> On Sunday, February 28, 2016 at 10:54:57 AM UTC+8, Oliver George wrote:
>>>>
>>>>
>>>> Seems pretty nice to me.  Like a light weight version of the Django's 
>>>> migrate and queryset features which build on model definitions.
>>>>
>>>> It seems like this would allow me to define a database schema (tables, 
>>>> relations and fields) as data and use it to both create the database and 
>>>> run select/insert/update/delete queries against it.  
>>>>
>>>> Is that your intention for the library?
>>>>
>>>> I've not explored the options in this space before.  It might be good 
>>>> to have a section in the README pointing out to other related tools with 
>>>> some compare/contrast points.
>>>>
>>>> Thanks.
>>>>
>>>>
>>>> On Friday, 26 February 2016 17:51:10 UTC+11, Krzysiek Herod wrote:
>>>>>
>>>>> I created Relational Mapper, for situations where there is a 
>>>>> relational database with certain amount of relations between tables and 
>>>>> it's just not cool to fetch data from each table separately nor to write 
>>>>> custom code for each such project so, with this library, you can just 
>>>>> call: 
>>>>>
>>>>> (find_all db-state :posts #{:authors :attachments} [:= post.id 1])
>>>>>
>>>>> and assuming you have appropriate relations between these tables, you'll 
>>>>> get:
>>>>>
>>>>> {:posts {:title "Christmas"
>>>>>          :body "Merry Christmas!"
>>>>>          :id 1
>>>>>          :authors_id 10
>>>>>          :authors {:name "Rudolf" :id 10}
>>>>>          :attachments [{:name "rudolf.png" :id 100 :posts_id 1}
>>>>>                        {:name "santa.png" :id 101 :posts_id 1}]
>>>>>
>>>>>
>>>>> The code is here: https://github.com/netizer/relational_mapper
>>>>>
>>>>> Please, guys, let me know what do you think, and if you have any ideas 
>>>>> about improvements. If somebody would be so kind to take a look at the 
>>>>> code, it would be awesome to read some feedback.
>>>>>
>>>>> Krzysiek HerĂ³d
>>>>>
>>>>

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