What type of SQL does Red Query Builder generate?

Question

I have been trying to use Red Query Builder visual query builder on a project, but we are finding that the SQL output is not consistent with the SQL our database (SQLite) expects. That makes me wonder what dialect of SQL is being generated and how can I change it?

Edit:

For example, this is a generated line of SQL.

"SELECT \"x0\".\"ID\", \"x0\".\"NAME\", \"x0\".\"COUNTRYCODE\", \"x0\".\"DISTRICT\", \"x0\".\"POPULATION\" FROM \"CITY\" \"x0\" INNER JOIN \"COUNTRY\" \"x1\" ON \"x0\".\"COUNTRYCODE\" = \"x1\".\"CODE\" WHERE (\"x1\".\"NAME\" = ?)"

From a cursory inspection, the x0 seems to be the alias for the table named CITY, but where is that connection being made?

Answer 1

The query runs just fine for me in SQLite after creating the proper tables. Here's the fully query unescaped and formatted:

SELECT 
    "x0"."ID", 
    "x0"."NAME", 
    "x0"."COUNTRYCODE", 
    "x0"."DISTRICT", 
    "x0"."POPULATION" 
FROM 
    "CITY" "x0" 
            INNER JOIN 
    "COUNTRY" "x1" 
            ON 
        "x0"."COUNTRYCODE" = "x1"."CODE" 
WHERE ("x1"."NAME" = ?)

Here's DDL and inserts to test:

CREATE TABLE Country (CODE text, Name Text);
CREATE TABLE CITY (ID int, Name text, countrycode text, district text, population int);

INSERT INTO Country VALUES ('US', 'United States');
INSERT INTO Country VALUES ('AU', 'Australia');

INSERT INTO City VALUES (1, 'Albany', 'US', 'NY', 1000000);
INSERT INTO City VALUES (2, 'Atlanta', 'US', 'GA', 2000000);
INSERT INTO City VALUES (3, 'Washington', 'US', 'DC', 500000);
INSERT INTO City VALUES (4, 'Melborne', 'AU', 'A', 40000);
INSERT INTO City VALUES (5, 'Sydney', 'AU', 'B', 60000);

Full example (run in console, so query is not parameterized, but ? is accepted parameterization for SQLite).

C:\Windows\System32>sqlite3
SQLite version 3.7.6.3
Enter ".help" for instructions
Enter SQL statements terminated with a ";"
sqlite> CREATE TABLE Country (CODE text, Name Text);
sqlite> CREATE TABLE CITY (ID int, Name text, countrycode text, district text, population int);
sqlite> INSERT INTO Country VALUES ('US', 'United States');
sqlite> INSERT INTO Country VALUES ('AU', 'Australia');
sqlite> INSERT INTO City VALUES (1, 'Albany', 'US', 'NY', 1000000);
sqlite> INSERT INTO City VALUES (2, 'Atlanta', 'US', 'GA', 2000000);
sqlite> INSERT INTO City VALUES (3, 'Washington', 'US', 'DC', 500000);
sqlite> INSERT INTO City VALUES (4, 'Melborne', 'AU', 'A', 40000);
sqlite> INSERT INTO City VALUES (5, 'Sydney', 'AU', 'B', 60000);
sqlite> SELECT
   ...>         "x0"."ID",
   ...>         "x0"."NAME",
   ...>         "x0"."COUNTRYCODE",
   ...>         "x0"."DISTRICT",
   ...>         "x0"."POPULATION"
   ...> FROM
   ...>         "CITY" "x0"
   ...>                         INNER JOIN
   ...>         "COUNTRY" "x1"
   ...>                         ON
   ...>                 "x0"."COUNTRYCODE" = "x1"."CODE"
   ...> WHERE ("x1"."NAME" = 'United States');
1|Albany|US|NY|1000000
2|Atlanta|US|GA|2000000
3|Washington|US|DC|500000
sqlite>