pg-event-proxy-example
temporal_tables
| pg-event-proxy-example | temporal_tables | |
|---|---|---|
| 1 | 16 | |
| 8 | 900 | |
| - | - | |
| 10.0 | 4.2 | |
| over 2 years ago | 3 months ago | |
| PLpgSQL | C | |
| - | BSD 2-clause "Simplified" License |
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pg-event-proxy-example
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All the ways to capture changes in Postgres
It exists [0] but does not seem to be that interesting to users
[0] https://github.com/subzerocloud/pg-event-proxy-example
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.
What are some alternatives?
maxwell - Maxwell's daemon, a mysql-to-json kafka producer
TimescaleDB - An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
walex - Postgres change events (CDC) in Elixir
pg_bitemporal - Bitemporal tables in Postgres
temporal_tables - Postgresql temporal_tables extension in PL/pgSQL, without the need for external c extension.
pgaudit - PostgreSQL Audit Extension
connectors - Connectors for capturing data from external data sources
dolt - Dolt – Git for Data
airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
datasette - An open source multi-tool for exploring and publishing data
debezium - Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.
beekeeper-studio - Modern and easy to use SQL client for MySQL, Postgres, SQLite, SQL Server, and more. Linux, MacOS, and Windows.