cadence
arrow-datafusion
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cadence | arrow-datafusion | |
---|---|---|
19 | 55 | |
7,725 | 4,789 | |
1.6% | 5.7% | |
9.7 | 9.9 | |
5 days ago | 7 days ago | |
Go | Rust | |
MIT License | Apache License 2.0 |
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.
cadence
- Show HN: Hatchet – Open-source distributed task queue
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Ask HN: Who is hiring? (December 2023)
Uber | Software Engineers | Hybrid (Denmark) | https://www.uber.com/dk/en/careers/locations/aarhus/
Work with an amazing team responsible for the infrastructure software that makes Uber’s data centers around the world reliable and scalable. If you want to solve the toughest engineering challenges alongside some of the smartest people in the industry, Uber Aarhus is the right place for you.
The team in Aarhus build and operate the stateless and stateful compute platforms used by nearly every other engineer in the company (Up - https://www.uber.com/en-GB/blog/up-portable-microservices-re... and Odin - https://www.uber.com/en-GB/blog/how-uber-optimized-cassandra...) as well as other related infrastructure projects such as Cadence - https://github.com/uber/cadence.
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Best way to schedule events and handle them in the future?
May be this..https://cadenceworkflow.io/
- Mandala: experiment data management as a built-in (Python) language feature
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Why messaging is much better than REST for inter-microservice communications
Having done a reasonable amount of messaging code in my time, I would say the final form of this sort of thing might look more like Cadence[0] than anything like this.
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cadence VS javactrl-kafka - a user suggested alternative
2 projects | 2 Feb 2023
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[P] My co-founder and I quit our engineering jobs at AWS to build “Tensor Search”. Here is why.
Emit events from your primary DB (postgres, etc.) to something like kafka or rabbitmq and then catch that in your search engine. There's also some end-to-end solutions like temporal (temporal.io) or cadence (https://cadenceworkflow.io/)
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Workflow Engines
Are there any mature workflow engines such as https://github.com/uber/cadence but with Rust client support?
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How can you ensure all Microservices have finished their tasks?
You should definitely check Uber Cadence https://cadenceworkflow.io/
- Apache Hop 2.0
arrow-datafusion
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Velox: Meta's Unified Execution Engine [pdf]
Python's Substrait seems like the biggest/most-used competitor-ish out there. I'd love some compare & contrast; my sense is that Substrait has a smaller ambition, and more wants to be a language for talking about execution rather than a full on execution engine. https://github.com/substrait-io/substrait
We can also see from the DataFusion discussion that they too see themselves as a bit of a Velox competitor. https://github.com/apache/arrow-datafusion/discussions/6441
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What I Talk About When I Talk About Query Optimizer (Part 1): IR Design
Agree, substrait is a really cool project! Related: if you like substrait you might want to check out datafusion too. The project is a query execution engine built on top of Apache Arrow (with SQL parser, query planner & optimizer, execution engine, extensible user defined functions, among others) and it implements a substrait provider and consumer: https://github.com/apache/arrow-datafusion/tree/main/datafus...
BTW you can see a version of what an industrial strength query optimizer / execution engine looks like in Rust https://arrow.apache.org/datafusion/
(can also use it in your own projects)
It is quite similar to what is described in this post
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DuckDB performance improvements with the latest release
The draft contains some preliminary benchmark results, comparing it to DuckDB.
Would be curious how the performance compares to [DataFusion](https://github.com/apache/arrow-datafusion) as one of the top contenders to DuckDB on this area (albeit they being different in a lot of parts, I find it one of the closest compared to all others).
ClickBench (from ClickHouse) has some benchmarks[1] where it can be compared, but am not super sure how up to date it is. At least a while back, they were majorly out of date and haven't looked too closely on whether they are keeping it fair for everyone else :)
[1]: benchmark.clickhouse.com
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GlareDB: An open source SQL database to query and analyze distributed data
Apache Arrow is a pretty common memory structure these days. Datafusion is an open query engine built in Rust started by Andy Grove.
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DuckDB 0.8.0
DuckDB is a great piece of software if you are
If you are looking for a query engine implemented in a safe language (Rust) I definitely suggest checking out DataFusion. It is comparable to DuckDB in performance, has all the standard built in SQL functionality, and is extensible in pretty much all areas (query language, data formats, catalogs, user defined functions, etc)
https://arrow.apache.org/datafusion/
Disclaimer I am a maintainer of DataFusion
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Data Engineering with Rust
https://github.com/jorgecarleitao/arrow2 https://github.com/apache/arrow-datafusion https://github.com/apache/arrow-ballista https://github.com/pola-rs/polars https://github.com/duckdb/duckdb
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Bridging Async and Sync Rust Code - A lesson learned while working with Tokio
Problem comes when you want to do this inside an async context since we couldn't block an async task. https://users.rust-lang.org/t/sync-function-invoking-async/43364/6 You might need to do it in another runtime/thread. It is not recommended to do this, but sometimes it is unavoidable while implementing a third-party trait. https://github.com/apache/arrow-datafusion/issues/3777 However, I believe this isn't a problem particular to tokio, or any specific runtime.
What are some alternatives?
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
temporal - Temporal service
ClickHouse - ClickHouse® is a free analytics DBMS for big data
Flowable (V6) - A compact and highly efficient workflow and Business Process Management (BPM) platform for developers, system admins and business users.
databend - 𝗗𝗮𝘁𝗮, 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗔𝗜. Modern alternative to Snowflake. Cost-effective and simple for massive-scale analytics. https://databend.com
db-benchmark - reproducible benchmark of database-like ops
nushell - A new type of shell
duckdb - DuckDB is an in-process SQL OLAP Database Management System
tikv - Distributed transactional key-value database, originally created to complement TiDB
sea-query - 🔱 A dynamic SQL query builder for MySQL, Postgres and SQLite
gocelery - Celery Distributed Task Queue in Go
Asynq - Simple, reliable, and efficient distributed task queue in Go