temporal_tables
pg_bitemporal
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temporal_tables | pg_bitemporal | |
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16 | 7 | |
897 | 140 | |
- | 1.4% | |
4.2 | 0.0 | |
2 months ago | about 2 years ago | |
C | PLpgSQL | |
BSD 2-clause "Simplified" License | BSD 3-clause "New" or "Revised" License |
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temporal_tables
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All the ways to capture changes in Postgres
There is also the temporal_tables extension.
[0] https://github.com/arkhipov/temporal_tables
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Show HN: I made a CMS that uses Git to store your data
- https://github.com/arkhipov/temporal_tables
I haven't used any of these but I work on https://xtdb.com which is also implementing SQL:2011's temporal features :)
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Data point versioning infrastructure for time traveling to a precise point in time?
It seems like PG has this extension here anyone ever use it?
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Questions about history table pattern
You could look at that or ask me questions about it (disclaimer, I am the author). Also there is https://github.com/arkhipov/temporal_tables/
- Modern solutions for database auditing?
- How Postgres Audit Tables Saved Us from Taking Down Production
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spring-data-jpa-temporal: a lightweight temporal auditing library
All good. Note there is also https://github.com/arkhipov/temporal_tables/ (which is also type 4 as a postgres extension - pretty similar to what ebean orm is doing)
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Time-travel options for databases
The Temporal Tables Postgres extension works well. https://github.com/arkhipov/temporal_tables
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easy master<->master postgresql 11 cluster solution?
If you're doing this across regions, you really really should reconsider. If you're doing it in the same data center you might be able to get away with it (but then I'm not sure why you're doing it in the first place, if the system fits in one DC then you probably can just scale up). It might be worth considering a sharded & passively combined approach -- i.e. every country has it's own data, and there's some huge public schema which consists of all the data that is drip fed in to materialized views or tables at regular intervals. You could also combine this with temporal_tables to get a very delayed but theoretically time-consistent (well, aside from clock skew across regions of course...) view of your DB to query... Really depends on the use case.
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SQLite the only database you will ever need in most cases
One of postgres's most underrated features. RLS is amazing, can be unseen/basically work silently if your programming language-side tools are good enough, and is documented well (like everything else):
https://www.postgresql.org/docs/current/ddl-rowsecurity.html
But the power of PG is that it doesn't stop there, if you combine this with a plugin like temporal_tables and you can segment by user and time:
https://github.com/arkhipov/temporal_tables
All of this mostly unknown to the thing that's accessing the DB. If that's not enough for you, why not add some auditing with pgaudit:
https://www.pgaudit.org/#section_three
I think it might not actually be hyperbole to say that Postgres is the greatest RDBMS database that has ever existed.
pg_bitemporal
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The Guide to PostgreSQL Data Change Tracking
I feel like i keep yelling the following, but bitemporal tables.
- https://aiven.io/blog/two-dimensional-time-with-bitemporal-d...
- https://github.com/scalegenius/pg_bitemporal
4 timestamps and some ugly queries.
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Eventual Business Consistency
People here may also be interested to see this analysis of the state of SQL:2011 "temporal table" feature adoption: https://illuminatedcomputing.com/posts/2019/08/sql2011-surve...
I don't think much has really changed since, and I'm not sure Postgres is any closer to addressing this natively (although there have been extensions, e.g. https://github.com/scalegenius/pg_bitemporal).
- Show HN: I made a CMS that uses Git to store your data
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Record history / Temporal table question
Something more sophisticated would be https://github.com/scalegenius/pg_bitemporal
- PostgreSQL 14 Released
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Bitemporal History
Sure, I can appreciate that native support for a feature like this is nice.
As I understand it, most implementations (including another one for bitemporality[1]) involve either audit tables, as you mention, and/or additional support columns. It's as if the "now" representation is simply a narrow lens onto the underlying data.
That said, PostgreSQL encodes and has battle-tested decades of database functionality including an ecosystem around those, so I'd be a little wary of switching technology even if it does solve one individual problem thoroughly. Everything has to start somewhere, though.
[1] - https://github.com/scalegenius/pg_bitemporal
What are some alternatives?
TimescaleDB - An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
Reladomo - Reladomo is an enterprise grade object-relational mapping framework for Java.
pgaudit - PostgreSQL Audit Extension
crux - General purpose bitemporal database for SQL, Datalog & graph queries. Backed by @juxt [Moved to: https://github.com/xtdb/xtdb]
dolt - Dolt – Git for Data
wasmer.io - The Wasmer.io website
datasette - An open source multi-tool for exploring and publishing data
outstatic - Outstatic - A static CMS for Next.js
beekeeper-studio - Modern and easy to use SQL client for MySQL, Postgres, SQLite, SQL Server, and more. Linux, MacOS, and Windows.
Kirby - Kirby's core application folder
debezium - Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.
Publii - The most intuitive Static Site CMS designed for SEO-optimized and privacy-focused websites.