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Home/ Questions/Q 7560551
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Editorial Team
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Editorial Team
Asked: May 30, 20262026-05-30T12:55:58+00:00 2026-05-30T12:55:58+00:00

I’ve a complex query with SQLite that seeks to grab a total from 3

  • 0

I’ve a complex query with SQLite that seeks to grab a total from 3 related tables.

The following is an example of my tables:

----
cities
----
id, name

----
surveys
----
id, cities_id

----
population
----
id, survey_id

I need to find the total number of surveyed people for each city.

Here’s the approach I’ve been taking using c#, but I believe there should be a straighter way to do this through SQLite. Plus, my brain is not solving my final step using c#.

                        //get a list of all cities
                        List<string> cities = new List<string>();

                        cmd.CommandText = "SELECT * from cities ";
                        cmd.ExecuteScalar();
                        SqlCeDataReader myReader = cmd.ExecuteReader();
                        while (myReader.Read())
                        {
                                    list_cities.Add(myReader["id"].ToString().Trim());
                        }


                        //get survey ids related to these citities
                        List<list_key_val> list_survey_ids = new List<list_key_val>();
                        foreach (String city_id in cities)
                        {
                            cmd.CommandText = "SELECT * from surveys WHERE city_id = '" + city_id + "'";
                            cmd.ExecuteScalar();
                            SqlCeDataReader myReader = cmd.ExecuteReader();
                            while (myReader.Read())
                            {
                                    list_survey_ids.Add(new list_key_val()
                                    {
                                        key = city_id,
                                        val = myReader["id"].ToString().Trim()
                                    });
                            }
                        }

                        //find total surveyed person count for each survey id.
                        List<list_key_val> list_surveyed_total = new List<list_key_val>();
                        foreach (String survey_id in list_survey_ids)
                        {
                            cmd.CommandText = "SELECT COUNT(*) from population WHERE survey_id = '" + survey_id + "'";
                            cmd.ExecuteScalar();

                            list_surveyed_total.Add(new list_key_val()
                            {
                                key = survey_id,
                                val =  count = (int)cmd.ExecuteScalar();
                            }                   
                        }

                        //find surveyed count as city id -> survey id -> surveyed count
                        List<list_key_val> list_city_surveyed_total = new List<list_key_val>();
                        foreach (String city_id in list_cities)
                        {
                            //dar... complex nested key calculations here, possibly?
                        }

I understand that SQLite has some limitation when it comes to combining queries. Thank you for any and all help!

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-05-30T12:55:59+00:00Added an answer on May 30, 2026 at 12:55 pm

    Hard to tell if I got it right but you should be able to perform the operation in a single query… something like:

    select cities.name, surveys.id, count(*) total
    from cities, surveys, population
    where cities.id = surveys.cities_id and surveys.id=population.survey_id
    group by cities.name, surveys.id
    

    Should give you something like:

    Chicago, 1, 4000
    Chicago, 2, 3355
    Denver, 1, 2580
    etc….

    Ok, here is a dump of a test I just did in sqlite

    sqlite> create table cities (id integer primary key, name text);
    sqlite> create table surveys (id integer primary key, cities_id integer);
    sqlite> create table population (id integer primary key, survey_id integer);
    sqlite> insert into cities values (1, 'Chicago');
    sqlite> insert into cities values (2, 'Denver');
    sqlite> insert into surveys values (1, 1);
    sqlite> insert into surveys values (2, 1);
    sqlite> insert into surveys values (3, 2);
    sqlite> insert into population values (1, 1);
    sqlite> insert into population values (2, 1);
    sqlite> insert into population values (3, 1);
    sqlite> insert into population values (4, 1);
    sqlite> insert into population values (5, 2);
    sqlite> insert into population values (6, 2);
    sqlite> insert into population values (7, 2);
    sqlite> insert into population values (8, 3);
    sqlite> insert into population values (9, 3);
    sqlite> select cities.name, surveys.id, count(*) total
       ...> from cities, surveys, population
       ...> where cities.id = surveys.cities_id and
       ...> surveys.id=population.survey_id
       ...> group by cities.name, surveys.id
       ...> ;
    Chicago|1|4
    Chicago|2|3
    Denver|3|2
    sqlite>
    
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