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How to query out schedules who has slot_details which have empty appointment_id. Here is an example data set:

    id: 98,
  consulting_location_doctor_id: 498,
  schedule_date: Thu, 15 Jan 2015 00:00:00 IST +05:30,
  slot_details:
   [{"end"=>"2015-01-15T15:00:00.000+00:00", "start"=>"2015-01-15T14:30:00.000+00:00", "title"=>" 2:30 pm to  3:00 pm", appointment_id: ""},
    {"end"=>"2015-01-15T15:30:00.000+00:00", "start"=>"2015-01-15T15:00:00.000+00:00", "title"=>" 3:00 pm to  3:30 pm", appointment_id: ""},
    {"end"=>"2015-01-15T16:00:00.000+00:00", "start"=>"2015-01-15T15:30:00.000+00:00", "title"=>" 3:30 pm to  4:00 pm", appointment_id: ""},
    {"end"=>"2015-01-15T16:30:00.000+00:00", "start"=>"2015-01-15T16:00:00.000+00:00", "title"=>" 4:00 pm to  4:30 pm", appointment_id: ""},
    {"end"=>"2015-01-15T17:00:00.000+00:00", "start"=>"2015-01-15T16:30:00.000+00:00", "title"=>" 4:30 pm to  5:00 pm", appointment_id: ""},
    {"end"=>"2015-01-15T17:30:00.000+00:00", "start"=>"2015-01-15T17:00:00.000+00:00", "title"=>" 5:00 pm to  5:30 pm", appointment_id: ""},
    {"end"=>"2015-01-15T18:00:00.000+00:00", "start"=>"2015-01-15T17:30:00.000+00:00", "title"=>" 5:30 pm to  6:00 pm", appointment_id: ""},
    {"end"=>"2015-01-15T18:30:00.000+00:00", "start"=>"2015-01-15T18:00:00.000+00:00", "title"=>" 6:00 pm to  6:30 pm", appointment_id: ""},
    {"end"=>"2015-01-15T19:00:00.000+00:00", "start"=>"2015-01-15T18:30:00.000+00:00", "title"=>" 6:30 pm to  7:00 pm", appointment_id: ""},
    {"end"=>"2015-01-15T19:30:00.000+00:00", "start"=>"2015-01-15T19:00:00.000+00:00", "title"=>" 7:00 pm to  7:30 pm", appointment_id: ""},
    {"end"=>"2015-01-15T20:00:00.000+00:00", "start"=>"2015-01-15T19:30:00.000+00:00", "title"=>" 7:30 pm to  8:00 pm", appointment_id: ""},
    {"end"=>"2015-01-15T20:30:00.000+00:00", "start"=>"2015-01-15T20:00:00.000+00:00", "title"=>" 8:00 pm to  8:30 pm", appointment_id: ""},
    {"end"=>"2015-01-15T21:00:00.000+00:00", "start"=>"2015-01-15T20:30:00.000+00:00", "title"=>" 8:30 pm to  9:00 pm", appointment_id: ""},
    {"end"=>"2015-01-15T21:30:00.000+00:00", "start"=>"2015-01-15T21:00:00.000+00:00", "title"=>" 9:00 pm to  9:30 pm", appointment_id: ""},
    {"end"=>"2015-01-15T22:00:00.000+00:00", "start"=>"2015-01-15T21:30:00.000+00:00", "title"=>" 9:30 pm to 10:00 pm", appointment_id: ""},
    {"end"=>"2015-01-15T22:30:00.000+00:00", "start"=>"2015-01-15T22:00:00.000+00:00", "title"=>"10:00 pm to 10:30 pm", appointment_id: ""},
    {"end"=>"2015-01-15T23:00:00.000+00:00", "start"=>"2015-01-15T22:30:00.000+00:00", "title"=>"10:30 pm to 11:00 pm", appointment_id: ""},
    {"end"=>"2015-01-15T23:30:00.000+00:00", "start"=>"2015-01-15T23:00:00.000+00:00", "title"=>"11:00 pm to 11:30 pm", appointment_id: ""},
    {"end"=>"2015-01-16T00:00:00.000+00:00", "start"=>"2015-01-15T23:30:00.000+00:00", "title"=>"11:30 pm to 12:00 am", appointment_id: ""}],
  start_and_end_time: Thu, 15 Jan 2015...Fri, 16 Jan 2015,
  deleted_at: nil,
  deleted_by_id: nil,
  created_at: Tue, 30 Dec 2014 04:28:06 IST +05:30,
  updated_at: Tue, 30 Dec 2014 04:28:06 IST +05:30>

I tried the example in guides as well. There is no example for where query on array of json. Please help.

share|improve this question
    
possible duplicate of How to make Rails 4.2 work with Postgres Jsonb? –  khampson Dec 30 '14 at 1:34
    
Any particular reason you're using JSON for this? Your slot_details looks to be very consistently structured, a separate table would probably be a better idea. –  mu is too short Dec 30 '14 at 1:35
    
@muistooshort I decided to go with this structure because. The row you see is for a single day for a single consulting_location of a doctor. A doctor can has many such consulting_location each having multiple slots for a single day. If I bring this out as a seperate table, won't become too big very soon? –  Aravind Dec 30 '14 at 7:49
    
Also the question has not been answered before, I have tried the solution there and it was not helpful. There was no pointers as to how to query array of json. –  Aravind Dec 30 '14 at 14:39
    
How would it be bigger as a separate table than as embedded JSON? I'd guess that it would be smaller, faster, easier to work with, and have access to a richer set of data types. You could even set up proper integrity constraints. –  mu is too short Dec 30 '14 at 17:57

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