I have written some query a few days back when I had a small database, everything was fine. But, the size of database has grown since then and now it takes a large amount of time to run. Is there any way this query can run faster?
explain SELECT job.id, job_title, text_job_description, html_job_description, amp_html_job_desc, destination, created_at, org.id, org.name, org.logo
FROM jobs.job as job LEFT OUTER JOIN
jobs.organization as org
ON job.organization_id = org.id
WHERE job.is_expired = 0 and job.is_hidden = 0 and
deleted_at is NULL
order by job.created_at desc
offset 0 limit 20;
QUERY PLAN
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Limit (cost=10514.03..10514.08 rows=20 width=1456)
-> Sort (cost=10514.03..10594.67 rows=32258 width=1456)
Sort Key: job.created_at DESC
-> Hash Left Join (cost=1.20..9655.65 rows=32258 width=1456)
Hash Cond: (job.organization_id = org.id)
-> Seq Scan on job (cost=0.00..9529.90 rows=32258 width=1384)
Filter: ((deleted_at IS NULL) AND (is_expired = 0) AND (is_hidden = 0))
-> Hash (cost=1.09..1.09 rows=9 width=72)
-> Seq Scan on organization org (cost=0.00..1.09 rows=9 width=72)