stanchion
dbhub.io
stanchion | dbhub.io | |
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3 | 8 | |
622 | 360 | |
- | 1.7% | |
8.9 | 9.5 | |
2 months ago | 5 days ago | |
C | Go | |
GNU Lesser General Public License v3.0 only | GNU Affero General Public License v3.0 |
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stanchion
- A SQLite extension that brings column-oriented tables to SQLite
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Show HN: Stanchion – Column-oriented tables in SQLite
The "Data Storage Internals" section[1] of the README sounds to me like it has its own column-oriented format for these tables, at least that's how I'm reading the part about segments. Is that the case? If so, have you tried using Apache Arrow or Parquet to see how they compare?
[1] https://github.com/dgllghr/stanchion#data-storage-internals
dbhub.io
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A SQLite extension that brings column-oriented tables to SQLite
We have a spread of different GitHub Actions based workflows that do stuff whenever a PR is proposed or merged:
https://github.com/sqlitebrowser/sqlitebrowser/tree/master/....
Most of those are oriented around building packages for various OS's (Linux, macOS, Windows) so people can try the latest code.
While there are some tests, they're more like extremely basic sanity tests and don't rely on Docker.
Those tests rely on whichever version of SQLite was downloaded and compiled into the GUI (as per above code snippet).
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That being said, that's for the client side GUI application. There's a server side of things too (https://github.com/sqlitebrowser/dbhub.io -> dbhub.io) that does use docker for it's automated tests:
https://github.com/sqlitebrowser/dbhub.io/tree/master/.githu...
Those are integration tests though (eg "make sure we didn't bust communication with our cli", "make sure our go library still works 100% with the server"), and a reasonably decent set of End to End (E2E) tests of the web interface using Cypress.
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Does that help? :)
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Systemd auto-restarts of units can hide problems from you
> I now have some Go websites running for a long time with daily Systemd restarts.
Are the restarts needed because there's malicious over-size content being sent to it, trying to exhaust the server resources?
If so, then "http.MaxBytesReader" might be helpful:
https://github.com/sqlitebrowser/dbhub.io/blob/5c9e1ab1cfe0f...
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How to Check 2 SQL Tables Are the Same
Not sure if Go code is your kind of thing, but if it is my colleague wrote a SQLite "diff" capability for our online hosting operation:
https://github.com/sqlitebrowser/dbhub.io/blob/5c9e1ab1cfe0f...
The code there can also output a "merge" object out of the differences too, in order to merge the differences from one database object into another.
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What would be the easiest way to make a database available online?
https://dbhub.io/ ?
- DBHub: SQLite Storage “In the Cloud”
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User friendly GUI for OSX
It's open source, free, cross platform and frequently updated. You can also use https://dbhub.io as a way to backup and share your databases.
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Made a Python library for accessing and using SQLite databases on DBHub.io
I just finished my project 'pydbhub ' for accessing and using SQLite databases on DBHub.io.
- DBHub – SQLite Storage “In the Cloud”
What are some alternatives?
sqlitebrowser - Official home of the DB Browser for SQLite (DB4S) project. Previously known as "SQLite Database Browser" and "Database Browser for SQLite". Website at:
nocodb - 🔥 🔥 🔥 Open Source Airtable Alternative
pydbhub - A Python library for accessing and using SQLite databases on DBHub.io
datasette - An open source multi-tool for exploring and publishing data
Sequel-Ace - MySQL/MariaDB database management for macOS
postgres-operator - Postgres operator creates and manages PostgreSQL clusters running in Kubernetes
postgres-operator - Production PostgreSQL for Kubernetes, from high availability Postgres clusters to full-scale database-as-a-service.
merkle-tree-solidity - JS - Solidity sha3 merkle tree bridge. Generate proofs in JS; verify in Solidity.
hfast - Secure HTTP-server focussed on convention over config
diffable-sql
dbt-audit-helper - Useful macros when performing data audits