connector-x
datafusion
connector-x | datafusion | |
---|---|---|
11 | 55 | |
1,786 | 5,086 | |
2.5% | 5.2% | |
9.1 | 9.9 | |
6 days ago | 3 days ago | |
Rust | 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.
connector-x
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How moving from Pandas to Polars made me write better code without writing better code
This was originally a blocker, however, we managed to set up a multi-stage Docker build to build from source. Here is the Github issue where we, along with community members, managed to solve it.
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I used multiprocessing and multithreading at the same time to drop the execution time of my code from 155+ seconds to just over 2+ seconds
There's packages like connector-x and polars that do a lot of what you're mentioning out of the box. I used these two to massively speed up an SQLalchemy + Pandas based ETL in the past as well.
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Rust in Data Science?
Thanks for sharing connector-x, I will also start to use it. I wonder if there are a list of tools like that. I know Ruff, Polars, pydantic-core.
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Querying Postgres Tables Directly from DuckDB
I was trying https://github.com/sfu-db/connector-x and hacking around with this https://github.com/spitz-dan-l/postgres-binary-parser but it turned out that a COPY to csv using asyncpg and then converting to parquet was the fastest.
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An alternativt to TradingView ?
if you store the OHLC data in a relational database, use connector-x to load the data into pandas dataframe
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Python and ETL
For SQL reading I'd really recommend connector-x, they do a great job preventing unneeded serialization and don't have to go through python.
- Fastest library to load data from DB to DataFrames
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Waiting for your data loading from database to dataframes?
Indeed, currently we do not support persistent connections among different queries. We target more on the bulk loading scenario where the bottleneck is caused by the data size and the connection construction overhead is negligible. However, one possible solution to the problem is to expose our connection pool object that we use inside Rust to users, so the next call could reuse the same pool. We do not plan for this yet, but happy to see whether this is a common need! Feel free to open an issue in our github repo: https://github.com/sfu-db/connector-x
Feel free to ask any questions here or open an issue in our github repo: https://github.com/sfu-db/connector-x . You can also join our discord community: https://discord.com/invite/xwbkFNk and ask question under connector channel!
- ConnectorX: The fastest tool to load data from databases to dataframes
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...
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DuckDB performance improvements with the latest release
The draft contains some preliminary benchmark results, comparing it to DuckDB.
https://github.com/apache/arrow-datafusion/issues/6782
- Apache Arrow DataFusion
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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
- Polars: Computing a new column from multiple columns - there must be a better way
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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.
- Using Rust to write a Data Pipeline. Thoughts. Musings.
What are some alternatives?
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Rudderstack - Privacy and Security focused Segment-alternative, in Golang and React
ClickHouse - ClickHouseยฎ is a free analytics DBMS for big data
lightweight-charts - Performant financial charts built with HTML5 canvas
databend - ๐๐ฎ๐๐ฎ, ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ & ๐๐. Modern alternative to Snowflake. Cost-effective and simple for massive-scale analytics. https://databend.com
mmr - Python based algorithmic trading platform for Interactive Brokers
db-benchmark - reproducible benchmark of database-like ops
postgres-binary-parser - Cython implementation of a parser for PostgreSQL's COPY WITH BINARY format
duckdb - DuckDB is an in-process SQL OLAP Database Management System
nushell - A new type of shell