delta-rs
dbx
delta-rs | dbx | |
---|---|---|
28 | 5 | |
1,833 | 434 | |
3.4% | 2.3% | |
9.7 | 4.6 | |
2 days ago | 2 months ago | |
Rust | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
delta-rs
- Delta-rs – a Rust-based implementation of deltalake
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Delta Lake vs. Parquet: A Comparison
I work at Databricks, but am pretty must just an OSS nerd, mainly focusing on Delta Rust recently: https://github.com/delta-io/delta-rs
I did some keyword research and wrote this post cause lots of folks are doing searches for Delta Lake vs Parquet. I'm just trying to share a fair summary of the tradeoffs with folks who are doing this search. It's a popular post and that's why I figured I would share it here.
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Working with Rust
Seeing a lot of great libraries coming out with python bindings in the data world e.g delta-rs Polars. I see it growing in this space as a C++ alternative
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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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Delta-rs with upserts
https://github.com/delta-io/delta-rs/issues/850 … looks like it’s on the roadmap!
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Read and filter delta files on Azure from a .net application
Microsoft talk a lot about OneLake and that the delta file format will be the standard during the build conference. Is it only me that find it strange that their marketing team talks so much about the delta format when they do not even provide a library to work with the delta format from .net? It would be easy for them to maintain bindings to https://github.com/delta-io/delta-rs but also provide a reader that support V-Order https://learn.microsoft.com/en-us/fabric/data-engineering/delta-optimization-and-v-order?tabs=sparksql
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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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Opportunity to contribute to a popular Rust data project (delta-rs)
delta-rs is a native Rust library for Delta Lake. It's a better way to store data than Parquet files and is fundamentally important library for the Rust data ecosystem. It's tightly integrated with Polars and Datafusion and there is a lot of interesting Rust work to be done.
dbx
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Snowpark equivalent on Databricks?
Pyspark is the python API for spark. You can write code in a notebook on databricks and run it on a cluster or you can write code in an IDE and run it using dbx through the dbx execute command. If you’re more familiar with Pandas API, you can use Koalas which is a pandas API on Spark
- how/where do you define your databricks jobs, tasks and workflows?
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Unit & integration testing in Databricks
Hey, Databricks person here. Check out DBX for a template on how to do unit and integration tests: https://github.com/databrickslabs/dbx
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My top 5 learnings from driving an OSS project
Approximately 1 year ago I've released the first version of dbx - a CLI tool for simple and efficient development and deployment of Databricks jobs.
- Anyone use Pyspark notebook in production ?
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
databricks-cli - The missing command line client for Databricks SQL
roapi - Create full-fledged APIs for slowly moving datasets without writing a single line of code.
cicd-templates - Manage your Databricks deployments and CI with code.
materialize - The data warehouse for operational workloads.
jupyterlab-integration - DEPRECATED: Integrating Jupyter with Databricks via SSH
ballista - Distributed compute platform implemented in Rust, and powered by Apache Arrow.
nutter - Testing framework for Databricks notebooks
kafka-delta-ingest - A highly efficient daemon for streaming data from Kafka into Delta Lake
fastdbfs - fastdbfs - An interactive command line client for Databricks DBFS.
delta-oss
databricks-nutter-projects-demo - Demo of using the Nutter for testing of Databricks notebooks in the CI/CD pipeline [Moved to: https://github.com/alexott/databricks-nutter-repos-demo]