pg_ivm
prawn-stack
| pg_ivm | prawn-stack | |
|---|---|---|
| 19 | 4 | |
| 774 | 6 | |
| 9.9% | - | |
| 6.3 | 4.5 | |
| about 1 month ago | 5 months ago | |
| C | TypeScript | |
| GNU General Public License v3.0 or later | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pg_ivm
- Postgres is eating the database world
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What Is Incremental View Maintenance (IVM)?
FTA, because I don't like Jeopardy questions in headlines:
“Incremental View Maintenance (IVM) provides a method for keeping materialized views current by calculating and applying only the incremental changes, as opposed to the complete recomputation of contents performed by the REFRESH MATERIALIZED VIEW command.”
Article shows using the pg_ivm Postgres extension available here: https://github.com/sraoss/pg_ivm
- Pg_ivm: Incremental View Maintenance as a Postgres Extension
- Anyone have experience with incremental materialized views in postgres?
- Incremental View Maintenance for PostgreSQL
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a temporary-ish table vs materialize view?
There is an extension that provides some limited incremental MVIEW refresh: https://github.com/sraoss/pg_ivm
- Features I'd Like in PostgreSQL
- IVM (Incremental View Maintenance) Implementation as a PostgreSQL Extension
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Materialized View: SQL Queries on Steroids
There’s awesome work being done on incremental view maintenance in postgres:
https://github.com/sraoss/pg_ivm
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Should I replace all db select query REST APIs with a single generic router ?
It makes sense to perform managed denormalization - use a materialized view or automatically refresh a table or foreign server (via FDW) using common triggers (like pg_ivm does). And it's fine to add a TTL to it and use as a read store... update on user login and make a partial index just for that. And that's how you could get CQRS...
prawn-stack
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PostgreSQL Views and Materialized Views and How They Influenced TimescaleDB
I wanted incremental refresh in Postgres as well and found that you can manage your own table to get something close.
Basically you create a regular table in place of a materialised one, only aggregate data newer than what's currently in the table then store the new aggregates in table. Repeat this an interval.
https://github.com/cadbox1/prawn-stack/blob/master/src/backe...
I use this to show page view data aggregated by hour without calculating it on each request using Lambda
https://prawn.cadell.dev/
- A modern page view counter to see unpopular my project is. Powered by a PRAwN stack (Postgres, React, AWS and Node) in the free tier deployed using CDK.
- Show HN: A modern page view counter to see how unpopular my project is
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The Architecture of a One-Man SaaS
I don't have the startup part yet but here's my one-person stack with Postgres, Node and React deployed on AWS with CDK using RDS, Lambda, S3 and Cloudfront. It's 100% in the free tier.
https://github.com/cadbox1/prawn-stack
What are some alternatives?
materialize - The data warehouse for operational workloads.
node-pg-migrate - Node.js database migration management for Postgresql
pg_hint_plan - Extension adding support for optimizer hints in PostgreSQL
litestream - Streaming replication for SQLite.
contour - Contour is a Kubernetes ingress controller using Envoy proxy.
LetsShip - Let's learn devops by shipping a final product in .NET 5
pg_jsonschema - PostgreSQL extension providing JSON Schema validation
diagrams - :art: Diagram as Code for prototyping cloud system architectures
OpenLogReplicator - Open Source Oracle database CDC
graphjin - GraphJin - Build NodeJS / GO APIs in 5 minutes not weeks
risingwave - Cloud-native SQL stream processing, analytics, and management. KsqlDB and Apache Flink alternative. 🚀 10x more productive. 🚀 10x more cost-efficient.
kubernetes-the-hard-way - Bootstrap Kubernetes the hard way. No scripts.