beesy-issue-tracker
arroyo
| beesy-issue-tracker | arroyo | |
|---|---|---|
| 2 | 13 | |
| 10 | 3,326 | |
| - | 3.2% | |
| 6.7 | 9.6 | |
| about 2 months ago | 10 days ago | |
| Rust | ||
| - | Apache License 2.0 |
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beesy-issue-tracker
arroyo
- FLaNK AI Weekly 18 March 2024
- Arryo 0.8 released — streaming SQL engine
-
Query Engines: Push vs. Pull
Interesting - I looked into your code a bit. I found your window aggregation library [1]. You may be interested in looking into the Rust implementation of some of the research work I've been a part of [2].
In Flink, I believe the reason they need to implement their own backpressure system is that they multiplex TCP connections. That is, they have multiple logical streams flowing through a single TCP connection. If that's the case, you need to do some work to 1) detect which logical stream is the one that's blocking, and 2) don't block because other logical streams may be able to use the active TCP connection.
Thinking it through, I think what Flink's approach buys is not necessarily better performance, but better just a manageable number of connections. That is, imagine you have a process P1 with operators A, B and C. And then P2 has D, E, F. Now imagine that this is a shuffle, where A, B and C are fully connected to D, E and F. In my old system, you would have 9 TCP connections. In Flink, you will have 1.
[1] https://github.com/ArroyoSystems/arroyo/blob/master/arroyo-w...
- Arroyo
- Show HN: Arroyo – Write SQL on streaming data
- Release v0.3.0 · ArroyoSystems/arroyo - Stream Processing Engine
- Arroyo 0.2 released - Rust stream processing engine, now on Kubernetes
- Distributed stream processing engine written in Rust
- ArroyoSystems/arroyo: Arroyo is a distributed stream processing engine written in Rust
- Arroyo, a new open-source SQL stream processing engine written in Rust
What are some alternatives?
difftastic - a structural diff that understands syntax 🟥🟩
bytewax - Python Stream Processing
trulens - Evaluation and Tracking for LLM Experiments
risingwave - SQL stream processing, analytics, and management. We decouple storage and compute to offer instant failover, dynamic scaling, speedy bootstrapping, and efficient joins.
rnote - Sketch and take handwritten notes.
Benthos - Fancy stream processing made operationally mundane
peerdb - Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
cli - Railway CLI
feldera - Feldera Continuous Analytics Platform
timely-dataflow - A modular implementation of timely dataflow in Rust
sqlglot - Python SQL Parser and Transpiler
tensorbase - TensorBase is a new big data warehousing with modern efforts.