arroyo
sqlglot
| arroyo | sqlglot | |
|---|---|---|
| 13 | 56 | |
| 3,326 | 5,623 | |
| 3.2% | - | |
| 9.6 | 9.9 | |
| 6 days ago | 5 days ago | |
| Rust | Python | |
| Apache License 2.0 | MIT License |
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.
arroyo
- FLaNK AI Weekly 18 March 2024
- Arryo 0.8 released — streaming SQL engine
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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
sqlglot
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The Future of MySQL is PostgreSQL: an extension for the MySQL wire protocol
This is probably referring to "zero changes to your driver code" and not "zero changes to the SQL you send over this driver".
Translating between SQL dialects is notoriously hard and attempts to translate [1] are working in 95% of cases. But the last 5% would require 5x amount of work. That's because "SQL dialect" also includes weird edge cases of type inference of things like COALESCE(5, FALSE) and emulation of system catalogs (pg_catalog, information_schema).
[1] https://github.com/tobymao/sqlglot
- FLaNK AI Weekly 18 March 2024
- SQLGlot: No-dependency SQL parser, transpiler, optimizer for 21 SQL dialects
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Transpile Any SQL to PostgreSQL Dialect
Recommend checking out https://github.com/tobymao/sqlglot if you are interested in this capability for other SQL dialects
Tools like this are helpful for:
- Rendering SQL in a consistent way, eg for snapshot testing
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This Week In Python
sqlglot – Python SQL Parser and Transpiler
- SQLglot: Python SQL Parser and Transpiler
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Build the dependency graph of your BigQuery pipelines at no cost: a Python implementation
In the project we used Python lib networkx and a DiGraph object (Direct Graph). To detect a table reference in a Query, we use sqlglot, a SQL parser (among other things) that works well with Bigquery.
- A Primer on SQLGlot's Abstract Syntax Tree
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Show HN: SQL Polyglot
Cool! Is this built with sqlglot[1] on the back end?
[1] https://github.com/tobymao/sqlglot
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sqlglot - Amazing SQL parsing library
Wanted to give sqlglot a shoutout as it saved me a ton of time.
What are some alternatives?
bytewax - Python Stream Processing
sqloxide - Python bindings for sqlparser-rs
risingwave - SQL stream processing, analytics, and management. We decouple storage and compute to offer speedy bootstrapping, dynamic scaling, time-travel queries, and efficient joins.
JSqlParser - JSqlParser parses an SQL statement and translate it into a hierarchy of Java classes. The generated hierarchy can be navigated using the Visitor Pattern
Benthos - Fancy stream processing made operationally mundane
Transcrypt - Python 3.9 to JavaScript compiler - Lean, fast, open! -
cli - Railway CLI
zetasql - ZetaSQL - Analyzer Framework for SQL
feldera - Feldera Continuous Analytics Platform
duckdb - DuckDB is an in-process SQL OLAP Database Management System
timely-dataflow - A modular implementation of timely dataflow in Rust
criterion.rs - Statistics-driven benchmarking library for Rust