I have some working code which pulls records from a forms table where 'mail@example.com' appears as a JSON value in one of the JSONB fields, column_a
, column_b
, column_c
, or column_d
.
SELECT *
FROM forms f
WHERE exists (SELECT *
FROM jsonb_each_text(f.column_a) as e(ky,val)
WHERE e.val = 'mail@example.com')
UNION
SELECT *
FROM forms f
WHERE exists (SELECT *
FROM jsonb_each_text(f.column_b) as e(ky,val)
WHERE e.val = 'mail@example.com')
UNION
SELECT *
FROM forms f
WHERE exists (SELECT *
FROM jsonb_each_text(f.column_c) as e(ky,val)
WHERE e.val = 'mail@example.com')
UNION
SELECT *
FROM forms f
WHERE exists (SELECT *
FROM jsonb_each_text(f.column_d) as e(ky,val)
WHERE e.val = 'mail@example.com');
The JSON in the columns is similar to:
{ "xyz":"mail@example.com", "def":"mail2@example.com", "lmn":"mail3@example.com" }
Although the code works, it looks highly repetitive/long-winded. Given that I can't change the JSON structure, is there are more concise way of building this query, and what indexes should I be building for those columns for the best performance?
Why not use or
?
SELECT f.*
FROM forms f
WHERE EXISTS (SELECT *
FROM jsonb_each_text(f.column_a) as e(ky,val)
WHERE e.val = 'mail@example.com'
) OR
EXISTS (SELECT *
FROM jsonb_each_text(f.column_b) as e(ky,val)
WHERE e.val = 'mail@example.com'
) OR
. . .
Presumably, this also eliminates the need for duplicate elimination, so the query should be faster as well.
EDIT:
If you want the sources, you can use correlated subqueries:
SELECT f.*
FROM (SELECT f.*,
EXISTS (SELECT *
FROM jsonb_each_text(f.column_a) as e(ky,val)
WHERE e.val = 'mail@example.com'
) as in_column_a,
EXISTS (SELECT *
FROM jsonb_each_text(f.column_b) as e(ky,val)
WHERE e.val = 'mail@example.com'
) as in_column_b,
. . .
FROM forms f
)
WHERE in_column_a OR in_column_b OR . . .
This is not quite as efficient, because it does not short-circuit the evaluation when it finds a match. On the other hand, it lists all columns that have a match.
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