You could write custom aggregate to handle your specific array of arrays, e.g.:
DROP TABLE IF EXISTS e;
CREATE TABLE e
(
id serial PRIMARY KEY,
alert_type text,
date_happened timestamp with time zone
);
INSERT INTO e(alert_type, date_happened) VALUES
('red', '2011-05-10 10:15:06'),
('yellow', '2011-06-22 20:01:19');
CREATE OR REPLACE FUNCTION array_agg_custom_cut(anyarray)
RETURNS anyarray
AS 'SELECT $1[2:array_length($1, 1)]'
LANGUAGE SQL IMMUTABLE;
DROP AGGREGATE IF EXISTS array_agg_custom(anyarray);
CREATE AGGREGATE array_agg_custom(anyarray)
(
SFUNC = array_cat,
STYPE = anyarray,
FINALFUNC = array_agg_custom_cut,
INITCOND = $${{'', '', ''}}$$
);
Query:
SELECT
array_agg_custom(
ARRAY[
alert_type::text,
id::text,
CAST(extract(epoch FROM date_happened) AS text)
])
FROM e;
Result:
array_agg_custom
--------------------------------------------
{{red,1,1305036906},{yellow,2,1308787279}}
(1 row)
EDIT:
Here is second, shorter way (that is, you don't need array_agg_custom_cut
function, but as you see additional ARRAY
level is necessary in query):
CREATE AGGREGATE array_agg_custom(anyarray)
(
SFUNC = array_cat,
STYPE = anyarray
);
SELECT
array_agg_custom(
ARRAY[
ARRAY[
alert_type::text,
id::text,
CAST(extract(epoch FROM date_happened) AS text)
]
])
FROM e;
Result:
array_agg_custom
--------------------------------------------
{{red,1,1305036906},{yellow,2,1308787279}}
(1 row)
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