I'm extracting a table of 2000+ rows which are park details. One of the columns is JSON type. Image of the table
We have about 15 attributes like this and we also have a documentation of pre-determined codes assigned to each attribute.
Each row in the extracted table has a different set of attributes that you can see in the image. Right now, I have cast(parks.services AS text) AS "details"
to get all the attributes for a particular park or extract just one of them using the code below:
CASE
WHEN cast(parks.services AS text) LIKE '%uncovered%' THEN '2'
WHEN cast(parks.services AS text) LIKE '%{covered%' THEN '1' END AS "details"
This time around, I need to extract these attributes by assigning them the codes. As an example, let's just say
I have thought of using subquery to pre-assign the codes, but I cannot wrap my head around JSON operators - in fact, I don't know how to extract them on 2000+ rows.
It would be helpful if someone could guide me in this topic. Thanks a lot!
You should really think about normalizing your tables. Don't store arrays. You should add a mapping table to map the parks and the attribute codes. This makes everything much easier and more performant.
SELECT
t.name,
array_agg(c.code ORDER BY elems.index) as codes -- 3
FROM mytable t,
unnest(attributes) WITH ORDINALITY as elems(value, index) -- 1
JOIN codes c ON c.name = elems.value -- 2
GROUP BY t.name
WITH ORDINALITY
to save the original order.index
values created by the WITH ORDINALITY
clause.