os-lib
delta-rs
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| os-lib | delta-rs | |
|---|---|---|
| 3 | 25 | |
| 603 | 1,153 | |
| 1.7% | 10.8% | |
| 8.4 | 8.0 | |
| 3 days ago | 3 days ago | |
| Scala | Rust | |
| GNU General Public License v3.0 or later | 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.
os-lib
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Scala CLI v1.0.0 is out!
Then something like os-lib can probably cover your scripting needs.
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Spark open source community is awesome
another dev is working on adding an elegant interface to perform Hadoop filesystem operations, similar to os-lib for regular filesystem operations
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What learning path did you follow into Scala?
In particular, the ammonite REPL and os-lib are absolutely ace.
delta-rs
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Ideas/Suggestions around setting up a data pipeline from scratch
If I’m not misunderstanding, you could both decode the gRPC protobuf AND write to delta lake in Rust. Tonic, Delta-rs.
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Polars query engine 0.29.0 released
I know someone will be adding this on the python side in the coming weeks. On the rust side you can use delta-rs with polars. Though you would be compiling both arrow2 and arrow-rs, so that's quite heavy.
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Delta Lake without Databricks?
You don’t need DBX to use Delta Lake. You can use S3 as the backend and just use the Python Delta Lake library. It works great! https://github.com/delta-io/delta-rs
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Seeking Recommendations for a Master Data Management Tool
Maybe if I get some free time soon I can formalize into a working example. Been wanting an excuse to try similar concept in delta-rs and polars/duckdb vs databricks/spark vs iceberg/polars.
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How to write Python extensions in Rust with PyO3
PyO3 is being used to expose the Python bindings to the delta-rs project: https://github.com/delta-io/delta-rs
It's a great way to expose Python bindings because it "feels" Pythonic. Most users run pip install deltalake and are completely unaware that the backend is implemented in Rust.
This is quite a different user experience than Python bindings for Java backends exposed via py4j. The py4j interfaces have the Java feel and require Java to be installed, which most Python users don't like.
- Delta without using Spark
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Spark open source community is awesome
Yea, there are tons of employees from companies that have made massive contributions to the Spark ecosystem. Apple built Delta Lake with Databricks, see this video for more detail. Lots of Spark PMCs are from various companies. delta-rs was initially built by Scribd and is now actively maintained by engineers at Voltron & other companies. It's awesome the community has so many contributors from various sources.
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Snowpark equivalent on Databricks?
Have a look at this https://delta-io.github.io/delta-rs/python/
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Rust is showing a lot of promise in the DataFrame / tabular data space
I'm working on [delta-rs](https://github.com/delta-io/delta-rs) which brings the power of Delta Lake to the Rust community. CSV / Parquet lakes are limited and Delta Lakes offer a ton of advantages (versioned data, time travel, ACID transactions, schema enforcement, etc). We're working to bring full Polars and DataFusion support to delta-rs, see the roadmap.
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Tipsy ramblings on Databricks' "Lakehouse"
Not sure if OP has come across this python library https://github.com/delta-io/delta-rs. With this library you can read delta tables stored in buckets and put them in pandas dataframe without all the Spark hassles.
What are some alternatives?
delta - An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
materialize - Materialize is a fast, distributed SQL database built on streaming internals.
roapi - Create full-fledged APIs for slowly moving datasets without writing a single line of code.
ballista - Distributed compute platform implemented in Rust, and powered by Apache Arrow.
kafka-delta-ingest - A highly efficient daemon for streaming data from Kafka into Delta Lake
delta-oss
Eso - A (mostly) purely functional console-based esoteric language interpreter.
sops - Simple and flexible tool for managing secrets
databricks-cli - The missing command line client for Databricks SQL
pfps-shopping-cart - :shopping_cart: The Shopping Cart application developed in the book "Practical FP in Scala: A hands-on approach"
connectors - This library allows Scala and Java-based projects (including Apache Flink, Apache Hive, Apache Beam, and PrestoDB) to read from and write to Delta Lake.
dipa - dipa makes it easy to efficiently delta encode large Rust data structures.