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An example of creating a recursive postgresql query to generate data about parent-child relationships within a single table.
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CREATE TABLE test | |
( | |
id INTEGER, | |
parent INTEGER | |
); | |
INSERT INTO test (id, parent) VALUES | |
(1, NULL), | |
(2, 1), | |
(3, 1), | |
(4, NULL), | |
(5, 4), | |
(6, 4), | |
(7, 2), | |
(8, 3), | |
(9, 5), | |
(10, 5), | |
(11, 8), | |
(12, 8); | |
-- 1 4 | |
-- / \ / \ | |
-- 2 3 5 6 | |
-- / / / \ | |
-- 7 8 9 10 | |
-- / \ | |
-- 11 12 | |
WITH RECURSIVE parents AS | |
( | |
SELECT | |
id AS id, | |
0 AS number_of_ancestors, | |
ARRAY [id] AS ancestry, | |
NULL :: INTEGER AS parent, | |
id AS start_of_ancestry | |
FROM test | |
WHERE | |
parent IS NULL | |
UNION | |
SELECT | |
child.id AS id, | |
p.number_of_ancestors + 1 AS ancestry_size, | |
array_append(p.ancestry, child.id) AS ancestry, | |
child.parent AS parent, | |
coalesce(p.start_of_ancestry, child.parent) AS start_of_ancestry | |
FROM test child | |
INNER JOIN parents p ON p.id = child.parent | |
) | |
SELECT | |
id, | |
number_of_ancestors, | |
ancestry, | |
parent, | |
start_of_ancestry | |
FROM parents; | |
-- id | number_of_ancestors | ancestry | parent | start_of_ancestry | |
-- 1 | 0 | {1} | NULL | 1 | |
-- 2 | 1 | {1,2} | 1 | 1 | |
-- 3 | 1 | {1,3} | 1 | 1 | |
-- 4 | 0 | {4} | NULL | 4 | |
-- 5 | 1 | {4,5} | 4 | 4 | |
-- 6 | 1 | {4,6} | 4 | 4 | |
-- 7 | 2 | {1,2,7} | 2 | 1 | |
-- 8 | 2 | {1,3,8} | 3 | 1 | |
-- 9 | 2 | {4,5,9} | 5 | 4 | |
-- 10 | 2 | {4,5,10} | 5 | 4 | |
-- 11 | 3 | {1,3,8,11} | 8 | 1 | |
-- 12 | 3 | {1,3,8,12} | 8 | 1 |
Thanks. Would it be beneficial to create an index for the parent
field or a combined index for both id
and parent
?
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Nice hack with the coalesce and the array append. I'm used to using list_agg but this is better for some use cases.