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pgexperts
pg_plan_filter
C2015–2019
pgexperts / pg_plan_filter

pg_plan_filter

filter statements by their execution plans.

2Distinct people
3Mentions
0Explicit recommenders
99GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

filter statements by their execution plans.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 1:49:46 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year3 dated mentions

Observed mentions: 2015-03-16 22:15:36 UTC to 2019-03-08 21:34:17 UTC.

012015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20152016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20172018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2019

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC101
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC000
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC000
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC101
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC101

What Hacker News says

3 sources
You could get a more complete solution with PostgreSQL + PostgREST. Regarding the concerns: > Security: we don’t want people messing up our data Row level security + roles/grants should be enough to cover this one. > On performance: SQLite has a mechanism for canceling queries that take longer than a certain threshold. With a timeout, what you'll need is to request the expensive queries in parallel to ddos the service. Would be better to filter by the query plan, in PostgreSQL there's an extension for this https://github.com/pgexperts/pg_plan_filter. Though pg also has a `statement_timeout`. > Hiding implementation details You can expose a dedicated schema for you API that doesn't contain a single table but only views and stored functions. Migrating this schema should be easy thanks to transactional DDL. That being said, I agree with the
Read the rest
sentiment about GraphQL, besides the extra query language, there's an additional impedance mismatch since now you have to map your DB schema to the GraphQL schema.
In SQL as an API language

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