pg_plan_guarantee
Hashids.java
pg_plan_guarantee | Hashids.java | |
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4 | 32 | |
83 | 1,015 | |
- | 0.3% | |
0.0 | 0.0 | |
almost 2 years ago | 7 months ago | |
C | Java | |
PostgreSQL License | MIT License |
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pg_plan_guarantee
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Features I'd Like in PostgreSQL
For 4) I've heard there's this available https://github.com/DrPostgres/pg_plan_guarantee
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Demystifying Database Performance for Developers
Shameless plug(s). To address both the problems you described, I have developed the following Postgres extensions.
Index Adviser can be used to automatically analyze your workload, and it will suggest the indexes that might help your queries perform better.
Postgres Plan Guarantee (under development) helps you generate+freeze a plan, and ensure that the Query Optimizer will never pick a different plan for your query.
Postgres Index Advisor: https://github.com/DrPostgres/pg_adviser
Postgres Plan Guarantee: https://github.com/DrPostgres/pg_plan_guarantee
- New extension: pg_plan_guarantee – Guarantee that your (query) plans will never change
- Show HN: Pg_plan_guarantee – Guarantee that your (query) plans will never change
Hashids.java
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Why Choose ULIDs over Traditional UUIDs or IDs for Database Identification?
My preference: using traditional incremental numeric IDs and obfuscate them with Hashids (https://hashids.org) when exposed publicly
- Hashids: Generate short unique ids from integers
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Auto Generate Sequential UIID
You basically want Hashids but sequential? Why not simple convert a base 10 (0-9) number to hex? (0-F)
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Features I'd Like in PostgreSQL
I found hashids [1] to be a great compromise between integer ids in the database and copyable non-enumerable strings on the client.
[1] https://hashids.org/
- Short, friendly base32 slugs from timestamps
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We Chose NanoIDs for PlanetScale’s API
I wonder how this might compare to just storing regular autoincrementing ints in the database, and converting to/from hashids (https://hashids.org/) at the edge. It eliminates the collision concern and stores more compactly at the cost of a tiny amount of encode/decode when processing requests. You’d want to push it down as close to the database layer as possible to avoid inadvertent int ID leaks; I added native hashids support to clickhouse but I’m not sure what other database support might entail.
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How can I generate truly unique slugs?
Since hashids are not really hashes and are not secure at all this is not even achieved. Hashids can be easily decoded without the salt by a simple brute-force attack described by the authors of hashid themselves right on their website: https://hashids.org/
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How to handle id-based routes with UUID
You don't necessarily need to use UUIDs. You could use something like Hashids to generate random strings from your sequential IDs in a reversible way, so that users can't predict what their values will be, but you can decode them as needed.
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All of my database models have id replaced with UUID4s. Is there any risk to using these in URLs?
You should not use UUIDv4 as a primary key. You can use normal int values and then use hashids to make them safe for URL. UUIDv7 might be good to use as well once they are more widely supported as well.
- What’s Django’s argument for using 64-bit int as default pk over uuid. Can anyone point me to something I can read?
What are some alternatives?
plpgsql_check - plpgsql_check is a linter tool (does source code static analyze) for the PostgreSQL language plpgsql (the native language for PostgreSQL store procedures).
BLAKE3 - the official Rust and C implementations of the BLAKE3 cryptographic hash function
pg_hint_plan - Extension adding support for optimizer hints in PostgreSQL
uuid7 - UUID version 7, which are time-sortable (following the Peabody RFC4122 draft)
pg_adviser - Postgres' index adviser
Guava - Google core libraries for Java
ora2pg - Ora2Pg is a free tool used to migrate an Oracle database to a PostgreSQL compatible schema. It connects your Oracle database, scan it automatically and extracts its structure or data, it then generates SQL scripts that you can load into PostgreSQL.
JGit - JGit project repository (jgit)
sqlite-gui - Lightweight SQLite editor for Windows
Embulk - Embulk: Pluggable Bulk Data Loader.
pg_jsonschema - PostgreSQL extension providing JSON Schema validation
JADE - a pug implementation written in Java (formerly known as jade)