SQL, output associated records having many-to-many relationship row by row
Two database tables – Primary and Secondary – have same structure, where W, H and D are primary key fields.
Primary table:
Name |
W |
H |
D |
Primary item 1 |
100 |
500 |
300 |
Primary item 2 |
100 |
600 |
300 |
Primary item 3 |
200 |
500 |
300 |
Primary item 4 |
100 |
500 |
300 |
Primary item 5 |
100 |
600 |
300 |
Primary item 6 |
200 |
500 |
300 |
Secondary table:
Name |
W |
H |
D |
Secondary item 1 |
100 |
500 |
300 |
Secondary item 2 |
100 |
600 |
300 |
Secondary item 3 |
200 |
500 |
300 |
Secondary item 4 |
100 |
500 |
300 |
Secondary item 5 |
100 |
600 |
300 |
Secondary item 6 |
200 |
500 |
300 |
Task: Find records meeting the condition W=100, H=500, and D=300 from both tables, and output the eligible record in Primary table first and then each related record in Secondary table. Below is the expected result:
Name |
W |
H |
D |
Primary item 1 |
100 |
500 |
300 |
Secondary item 1 |
100 |
500 |
300 |
Secondary item 4 |
100 |
500 |
300 |
Primary item 4 |
100 |
500 |
300 |
Secondary item 1 |
100 |
500 |
300 |
Secondary item 4 |
100 |
500 |
300 |
Write the following SPL code:
A |
|
1 |
=sqlServer1.query("select * from Primary where W = 100 and H = 500 and D = 300") |
2 |
=sqlServer1.query("select * from Secondary where W = 100 and H = 500 and D = 300") |
3 |
=if(A2,A1.conj(~|A2)) |
A1, A2: Run simple SQL statements to perform conditional queries.
A3: Return null if A2 is empty; and if A2 isn’t empty, loop through each record of A1 (represented by ~), concatenate ~ and A2, and then concatenate results of all rounds of loops.
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