pgjdbc
FrameworkBenchmarks
pgjdbc | FrameworkBenchmarks | |
---|---|---|
14 | 366 | |
1,421 | 7,384 | |
0.9% | 0.4% | |
9.3 | 9.8 | |
1 day ago | 7 days ago | |
Java | Java | |
BSD 2-clause "Simplified" License | 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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
pgjdbc
-
Password may not contain: select, insert, update, delete, drop
The method doAppendEscapeLiteral (Line 66) is a good example; https://github.com/pgjdbc/pgjdbc/blob/master/pgjdbc/src/main...
I didn’t take notes all the way down, but at the end of the day this method is invoked when a prepared statements’ parameters are being bound
-
Everything People Don't Get About CVEs
Let's take CVE-2022-21724 which has a base score of 9.8 - Critical from NVD. This vulnerability has the following description on GitHub link:
- For daily Java programmers: after almost one decade of Java 8, are streams and lambdas fully adopted by the Java community?
-
KTor and non-blocking sql
Virtual threads are great but db drivers still have to tweak (mainly to remove synchronized I/O) to be compatible with loom. Postgres just recently merged the changes for loom https://github.com/pgjdbc/pgjdbc/issues/1951
-
loom and database drivers
You can see it for example in the Postgres driver here or the MS SQL driver here. Oracle of course has already released their driver as Loom ready.
- Embracing Virtual Threads with Spring
-
Java 19
See here for details, one of the Project Loom mainainers chimes in with the bad news -- looks like a Loom supported solution is a ways off, so rewriting library/application code that uses synchronized is the only way to actually benefit from Loom's virtual threads.
-
Why is Spring so slow in TechEmpower benchmark?
Any chance you could add a thought / opinion to https://github.com/pgjdbc/pgjdbc/issues/1951 ? Around synchronized & ReentrantLock etc. Any input would be greatly appreciated.
-
I feel like this should be in every model, class and function just to be sure.
This is about types defined outside your business and that means you possibly don't have a chance to do better, e.g. PgPreparedStatement from PostreSQL driver.
- Postgres Java lib returns wrong numeric value after 5 reads
FrameworkBenchmarks
-
Why choose async/await over threads?
Neat. Thanks for sharing!
Interestingly, may-minihttp is faring very well in the TechEmpower benchmark [1], for whatever those benchmarks are worth. The code is also surprisingly straightforward [2].
[1] https://www.techempower.com/benchmarks/
[2] https://github.com/TechEmpower/FrameworkBenchmarks/blob/mast...
-
Ntex: Powerful, pragmatic, fast framework for composable networking services
ntex was formed after a schism in actix-web and Rust safety/unsafety, with ntex allowing more unsafe code for better performance.
ntex is at the top of the TechEmpower benchmarks, although those benchmarks are not apples-to-apples since each uses its own tricks: https://www.techempower.com/benchmarks/#hw=ph&test=fortune&s...
-
A decent VS Code and Ruby on Rails setup
Ruby is slow. Very slow. How much you may ask? https://www.techempower.com/benchmarks/#hw=ph&test=fortune&s... fastest Ruby entry is at 272th place. Sure, top entries tend to have questionable benchmark-golfing implementations, but it gives you a good primer on the overhead imposed by Ruby.
It is also not early 00s anymore, when you pick an interpreted language, you are not getting "better productivity and tooling". In fact, most interpreted languages lag behind other major languages significantly in the form of JS/TS, Python and Ruby suffering from different woes when it comes to package management and publishing. I would say only TS/JS manages to stand apart with being tolerable, and Python sometimes too by a virtue of its popularity and the amount of information out there whenever you need to troubleshoot.
If you liked Go but felt it being a too verbose to your liking, give .NET a try. I am advocating for it here on HN mostly for fun but it is, in fact, highly underappreciated, considered unsexy and boring while it's anything but after a complete change of trajectory in the last 3-5 years. It is actually the* stack people secretly want but simply don't know about because it is bundled together with Java in the public perception.
*productive CLI tooling, high performance, works well in a really wide range of workloads from low to high level, by far the best ORM across all languages and back-end framework that is easier to work with than Node.JS while consuming 0.1x resources
-
The Erlang Ecosystem [video]
Although that seems to have improved in recent years.
https://www.techempower.com/benchmarks/#hw=ph&test=json§...
-
Ruby 3.3
RoR and whatever C++ based web backend there is count as a valid comparison in my book. But comparing the languages itself is maybe a bit off.
On a side note, you can actually compare their performance here if you’re really curious. But take it with a grain of salt since these are synthetic benchmarks.
https://www.techempower.com/benchmarks
-
API: Go, .NET, Rust
Most benchmarks you'll find essentially have someone's thumb on the scale (intentionally or unintentionally). Most people won't know the different languages well enough to create comparable implementations and if you let different people create the implementations, cheating happens. The TechEmpower benchmarks aren't bad, but many implementations put their thumb on the scale (https://www.techempower.com/benchmarks). For example, a lot of the Go implementations avoid the GC by pre-allocating/reusing structs or allocate arrays knowing how big they need to be in advance (despite that being against the rules). At some point, it becomes "how many features have you turned off." Some Go http routers (like fasthttp and those built off it like Atreugo and Fiber) aren't actually correct and a lot of people in the Go community discourage their use, but they certainly top the benchmarks. Gin and Echo are usually the ones that are well-respected in the Go community.
-
Rage: Fast web framework compatible with Rails
There is certainly a lot of speculation in Techempower benchmarks and top entries can utilize questionable techniques like simply writing a byte array literal to output stream instead of constructing a response, or (in the past) DB query coalescing to work around inherent limitations of the DB in case of Fortunes or DB quries.
And yet, the fastest Ruby entry is at 274th place while Rails is at 427th.
https://www.techempower.com/benchmarks/#hw=ph&test=fortune&s...
-
Node.js – v20.8.1
oh what machine? with how many workers? doing what?
search for "node" on this page: https://www.techempower.com/benchmarks/#section=data-r21
-
Strong typing, a hill I'm willing to die on
JustJS would like a word https://www.techempower.com/benchmarks/#section=data-r20&tes...
-
Rust vs Go: A Hands-On Comparison
In terms of RPS, this web service is more-or-less the fortunes benchmark in the techempower benchmarks, once the data hits the cache: https://www.techempower.com/benchmarks/#section=data-r21
Or, at least, they would be after applying optimizations to them.
In short, both of these would serve more rps than you will likely ever need on even the lowest end virtual machines. The underlying API provider will probably cut you off from querying them before you run out of RPS.
What are some alternatives?
pgjdbc-ng - A new JDBC driver for PostgreSQL aimed at supporting the advanced features of JDBC and Postgres
zio-http - A next-generation Scala framework for building scalable, correct, and efficient HTTP clients and servers
HikariCP - 光 HikariCP・A solid, high-performance, JDBC connection pool at last.
drogon - Drogon: A C++14/17 based HTTP web application framework running on Linux/macOS/Unix/Windows [Moved to: https://github.com/drogonframework/drogon]
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
jOOQ - jOOQ is the best way to write SQL in Java
LiteNetLib - Lite reliable UDP library for Mono and .NET
zgc - The Z Garbage Collector https://wiki.openjdk.org/display/zgc
C++ REST SDK - The C++ REST SDK is a Microsoft project for cloud-based client-server communication in native code using a modern asynchronous C++ API design. This project aims to help C++ developers connect to and interact with services.
H2 - H2 is an embeddable RDBMS written in Java.
SQLBoiler - Generate a Go ORM tailored to your database schema.