cargo-semver-checks
materialize
cargo-semver-checks | materialize | |
---|---|---|
18 | 117 | |
921 | 5,580 | |
- | 0.4% | |
9.4 | 10.0 | |
9 days ago | 1 day ago | |
Rust | Rust | |
Apache License 2.0 | 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.
cargo-semver-checks
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Semver violations are common, better tooling is the answer
If you'd like to dig deeper, here are some links:
- cargo-semver-checks: https://github.com/obi1kenobi/cargo-semver-checks
- Trustfall query engine, which powers cargo-semver-checks: https://github.com/obi1kenobi/trustfall
- Trustfall playground, where you can query Rust library APIs in your browser -- for example, "which structs in `itertools` are importable by more than one path": https://play.predr.ag/rustdoc#?f=2&q=*3-Structs-importable-f...
- 10min conference talk on Trustfall: https://www.hytradboi.com/2022/how-to-query-almost-everythin...
I'm also giving a talk at P99 CONF in a few months about how Trustfall's new optimizations API made cargo-semver-checks over 2300x faster: https://twitter.com/PredragGruevski/status/16893002495908003...
- Cargo-semver-checks: Scan your Rust crate for semver violations
- cargo-semver-checks v0.20 and Trustfall v0.4 released — semver-check up to 2354x faster
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err-as-you-go crate - anyhow meets thiserror
I strongly recommend that anybody creating new error types for public APIs read Study of std::io::Error by u/matklad to see some ways that error types can [need to] be future-proofed. I don't know if cargo-semver-checks can catch these issues when they're generated by a macro, but it'd be something people using this crate should carefully look into.
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Re-exporting an enum with a type alias is breaking, but not major
cargo-semver-checks will implement a check for cases like this, and many other hazards like it. The check will be major, or minor, or just a hazard — whatever the overall community decides is right.
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cargo-semver-checks v0.18.0: rustdoc caching, new lints & more
Full release notes: https://github.com/obi1kenobi/cargo-semver-checks/releases/tag/v0.18.0
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cargo-semver-checks v0.17 is out: correct re-export handling
Release notes, TL;DR: Rust 1.65+ only, no more false positives due to moved+re-exported items.
- Semver implications of `#[non_exhaustive]` behavior on tuple/unit enum variants · Issue #304 · obi1kenobi/cargo-semver-checks
materialize
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Ask HN: How Can I Make My Front End React to Database Changes in Real-Time?
[2] https://materialize.com/
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Choosing Between a Streaming Database and a Stream Processing Framework in Python
To fully leverage the data is the new oil concept, companies require a special database designed to manage vast amounts of data instantly. This need has led to different database forms, including NoSQL databases, vector databases, time-series databases, graph databases, in-memory databases, and in-memory data grids. Recent years have seen the rise of cloud-based streaming databases such as RisingWave, Materialize, DeltaStream, and TimePlus. While they each have distinct commercial and technical approaches, their overarching goal remains consistent: to offer users cloud-based streaming database services.
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Proton, a fast and lightweight alternative to Apache Flink
> Materialize no longer provide the latest code as an open-source software that you can download and try. It turned from a single binary design to cloud-only micro-service
Materialize CTO here. Just wanted to clarify that Materialize has always been source available, not OSS. Since our initial release in 2020, we've been licensed under the Business Source License (BSL), like MariaDB and CockroachDB. Under the BSL, each release does eventually transition to Apache 2.0, four years after its initial release.
Our core codebase is absolutely still publicly available on GitHub [0], and our developer guide for building and running Materialize on your own machine is still public [1].
It is true that we substantially rearchitected Materialize in 2022 to be more "cloud-native". Our new cloud offering offers horizontal scalability and fault tolerance—our two most requested features in the single-binary days. I wouldn't call the new architecture a microservices design though! There are only 2-3 services, each quite substantial, in the new architecture (loosely: a compute service, an orchestration service, and, soon, a load balancing service).
We do push folks to sign up for a free trial of our hosted cloud offering [2] these days, rather than trying to start off by running things locally, as we generally want folks' first impression of Materialize to be of the version that we support for production use cases. A all-in-one single machine Docker image does still exist, if you know where to look, but it's very much use-at-your-own-risk, and we don't recommend using it for anything serious, but it's there to support e.g. academic work that wants to evaluate Materialize's capabilities to incrementally maintain recursive SQL queries.
If folks have questions about Materialize, we've got a lively community Slack [3] where you can connect directly with our product and engineering teams.
[0]: https://github.com/MaterializeInc/materialize/tree/main
- What I Talk About When I Talk About Query Optimizer (Part 1): IR Design
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We Built a Streaming SQL Engine
Some recent solutions to this problem include Differential Dataflow and Materialize. It would be neat if postgres adopted something similar for live-updating materialized views.
https://github.com/timelydataflow/differential-dataflow
https://materialize.com/
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Ask HN: Who is hiring? (October 2023)
Materialize | Full-Time | NYC Office or Remote | https://materialize.com
Materialize is an Operational Data Warehouse: A cloud data warehouse with streaming internals, built for work that needs action on what’s happening right now. Keep the familiar SQL, keep the proven architecture of cloud warehouses but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that are always up-to-date.
Materialize is the operational data warehouse built from the ground up to meet the needs of modern data products: Fresh, Correct, Scalable — all in a familiar SQL UI.
Senior/Staff Product Manager - https://grnh.se/69754ebf4us
Senior Frontend Engineer - https://grnh.se/7010bdb64us
===
Investors include Redpoint, Lightspeed and Kleiner Perkins.
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Ask HN: Who is hiring? (June 2023)
Materialize | EM (Compute), Senior PM | New York, New York | https://materialize.com/
You shouldn't have to throw away the database to build with fast-changing data. Keep the familiar SQL, keep the proven architecture of cloud warehouses, but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that are always up-to-date.
That is Materialize, the only true SQL streaming database built from the ground up to meet the needs of modern data products: Fresh, Correct, Scalable — all in a familiar SQL UI.
Engineering Manager, Compute - https://grnh.se/4e14099f4us
Senior Product Manager - https://grnh.se/587c36804us
VP of Marketing - https://grnh.se/9caac4b04us
- What are your favorite tools or components in the Kafka ecosystem?
- Ask HN: Who is hiring? (May 2023)
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Dozer: A scalable Real-Time Data APIs backend written in Rust
How does it compare to https://materialize.com/ ?
What are some alternatives?
octosql-plugin-postgres
ClickHouse - ClickHouse® is a free analytics DBMS for big data
ddl-diff - Generates SQL migrations by parsing and diffing DDL
risingwave - Cloud-native SQL stream processing, analytics, and management. KsqlDB and Apache Flink alternative. 🚀 10x more productive. 🚀 10x more cost-efficient.
octosql-plugin-random_data - OctoSQL plugin serving random data
openpilot - openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for 250+ supported car makes and models.
prql-query - Query and transform data with PRQL
rust-kafka-101 - Getting started with Rust and Kafka
argfile - Load additional CLI args from file
dbt-expectations - Port(ish) of Great Expectations to dbt test macros
go-sqlite3-stdlib - A standard library for mattn/go-sqlite3 including best-effort date parsing, url parsing, math/string functions, and stats aggregation functions
scryer-prolog - A modern Prolog implementation written mostly in Rust.