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greenplum-db
postgres-archive
Data & Databases2019–2021
greenplum-db / postgres-archive · Archived

postgres-archive

Discover this repository through its Hacker News conversations.

3Distinct people
3Mentions
0Explicit recommenders
94GitHub stars
REPOSITORY AT A GLANCE

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What it is

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Where it is used

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What people are saying

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

Also in these discussions

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This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:03:16 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 month3 dated mentions

Observed mentions: 2019-10-31 20:29:45 UTC to 2021-07-12 17:00:24 UTC.

012019-10-01 00:00:00 UTC to 2019-11-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsOct 20192019-11-01 00:00:00 UTC to 2019-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-12-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2020-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-02-01 00:00:00 UTC to 2020-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-03-01 00:00:00 UTC to 2020-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-04-01 00:00:00 UTC to 2020-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-05-01 00:00:00 UTC to 2020-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-06-01 00:00:00 UTC to 2020-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-07-01 00:00:00 UTC to 2020-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-08-01 00:00:00 UTC to 2020-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsAug 20202020-09-01 00:00:00 UTC to 2020-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-10-01 00:00:00 UTC to 2020-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-11-01 00:00:00 UTC to 2020-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-12-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2021-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-02-01 00:00:00 UTC to 2021-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-03-01 00:00:00 UTC to 2021-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-04-01 00:00:00 UTC to 2021-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-05-01 00:00:00 UTC to 2021-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-06-01 00:00:00 UTC to 2021-07-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021-07-01 00:00:00 UTC to 2021-08-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsJul 2021

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
Oct 20192019-10-01 00:00:00 UTC2019-11-01 00:00:00 UTC101
Nov 20192019-11-01 00:00:00 UTC2019-12-01 00:00:00 UTC000
Dec 20192019-12-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
Jan 20202020-01-01 00:00:00 UTC2020-02-01 00:00:00 UTC000
Feb 20202020-02-01 00:00:00 UTC2020-03-01 00:00:00 UTC000
Mar 20202020-03-01 00:00:00 UTC2020-04-01 00:00:00 UTC000
Apr 20202020-04-01 00:00:00 UTC2020-05-01 00:00:00 UTC000
May 20202020-05-01 00:00:00 UTC2020-06-01 00:00:00 UTC000
Jun 20202020-06-01 00:00:00 UTC2020-07-01 00:00:00 UTC000
Jul 20202020-07-01 00:00:00 UTC2020-08-01 00:00:00 UTC000
Aug 20202020-08-01 00:00:00 UTC2020-09-01 00:00:00 UTC000
Sep 20202020-09-01 00:00:00 UTC2020-10-01 00:00:00 UTC000
Oct 20202020-10-01 00:00:00 UTC2020-11-01 00:00:00 UTC000
Nov 20202020-11-01 00:00:00 UTC2020-12-01 00:00:00 UTC000
Dec 20202020-12-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
Jan 20212021-01-01 00:00:00 UTC2021-02-01 00:00:00 UTC000
Feb 20212021-02-01 00:00:00 UTC2021-03-01 00:00:00 UTC000
Mar 20212021-03-01 00:00:00 UTC2021-04-01 00:00:00 UTC000
Apr 20212021-04-01 00:00:00 UTC2021-05-01 00:00:00 UTC000
May 20212021-05-01 00:00:00 UTC2021-06-01 00:00:00 UTC000
Jun 20212021-06-01 00:00:00 UTC2021-07-01 00:00:00 UTC101
Jul 20212021-07-01 00:00:00 UTC2021-08-01 00:00:00 UTC110

What Hacker News says

3 sources

Ask HN: What happened to the zedstore and zheap projects?

For reference: https://github.com/greenplum-db/postgres/tree/zedstore https://www.cybertec-postgresql.com/en/zheap-reinvented-postgresql-storage/ I have been really excited to see some new implementations of storage engines in Postgres ever since the new pluggable storage api was introduced. There has been quite a bit of excitement around these two projects in particular, and I was looking forward to being able to use them myself. However, I ran across this interview with a Postgres contributor, which claims that development has virtually stopped. https://postgresql.life/post/daniel_westermann/ Is anybody here involved in these projects? Can you comment on their progress? Have the projects been abandoned?
1 points · Open discussion
A blog post series I've been meaning to write for over 3 years now: * Every database a Postgres 1: Key/Value store * Every database a Postgres 2: Document stores * Every database a Postgres 3: Logs (Kafka-esque) * Every database a Postgres 4: Timeseries * Every database a Postgres 5: Full Text Search * Every database a Postgres 6: Message Queues Low key, you could make almost every single type of database a modern startup needs out of Postgres, and get the benefits (and drawbacks) of Postgres everywhere. Should you do it? Probably not. Is it good enough for a theoretical ~70% of the startups out there who really don't shuffle around too much data or need to pretend to do any hyper scaling? Maybe. If anyone from 2ndQuadrant/Citus/EDB see this, please do a series like this, make the solutions open source, and I bet we'd get some pretty dece
Read the rest
nt performance out of Postgres compared to the purpose built solutions (remember, TimescaleDB did amazing compared to InfluxDB, a purpose built tool, not too long ago). New features like custom table access methods and stuff also shift the capabilities of Postgres a ton. I'm fairly certain I could write a table access method that "just" allocated some memory and gave it to a redis subprocess (or even a compiled-in version) to use. [EDIT] - It's not clear but the listing is in emacs org mode, those bullet points are expandable and I have tons of notes in each one of these (ex. time series has lots of activity in postgres -- TimescaleDB, native partitioning, Citus, etc). Unfortunately the first bullet point is 43 (!) bullet points down. If someone wants to fund my yak shaving reach out, otherwise someone signal boost this to 2Q/Citus/EDB so professionals can take a stab at it. [EDIT2] - I forgot some, Postgres actually has: - Graph support, w/ AgensGraph now known as AGE[0] - OLAP workloads with Citus Columnar[1] (and zedstore[2]). [0]: https://age.apache.org [1]: https://www.citusdata.com/blog/2021/03/05/citus-10-release-o... [2]: https://github.com/greenplum-db/postgres/tree/zedstore
In Do you really need Redis? How to get away with just PostgreSQL

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