delta-rs
kafka-delta-ingest
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delta-rs | kafka-delta-ingest | |
---|---|---|
28 | 6 | |
1,820 | 319 | |
6.1% | 4.4% | |
9.7 | 7.5 | |
about 8 hours ago | 9 days ago | |
Rust | Rust | |
Apache License 2.0 | 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.
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.
kafka-delta-ingest
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Using rust for DE activities?
Rust can offer incredible cost savings when you can use it in place of spark to interact with your delta lake. One such project was kafka-delta-ingest. The developers were able to reduce the cost of running the pipeline by over 90%. However, most of this stuff is still very experimental and not ready for production but you will definitely be seeing more projects like this just based on how much money can be saved.
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Which lakehouse table format do you expect your organization will be using by the end of 2023?
This independence from a catalog allows for path based reads and writes. This is handy when writing from Kafka directly to Delta Lake for the first layer of ingestion. You don’t need a catalog (or even Spark). https://github.com/delta-io/kafka-delta-ingest/tree/main/src
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Streaming Data and Postgres
As far as I know no. You certainly could use events on a streaming ledger like Kafka or Redpanda and then store to delta with https://github.com/delta-io/kafka-delta-ingest and process them with all the gis goodness of spark. However, this is fairly complicated and much different from a simple postgis drop in replacement. There are specialized meaning faster and more efficient systems out there for specialized tasks such as geo fencing in real-time
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Rust is showing a lot of promise in the DataFrame / tabular data space
kafka-delta-ingest is a good project to get streaming data into a Delta Lake. Here's a great talk on the topic.
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process millions of events per sec
What about https://github.com/delta-io/kafka-delta-ingest?
- Exactly once delivery from Kafka to Delta Lake with Rust
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
dipa - dipa makes it easy to efficiently delta encode large Rust data structures.
roapi - Create full-fledged APIs for slowly moving datasets without writing a single line of code.
kafka-rust - Rust client for Apache Kafka
materialize - The data warehouse for operational workloads.
rust-rdkafka - A fully asynchronous, futures-based Kafka client library for Rust based on librdkafka
ballista - Distributed compute platform implemented in Rust, and powered by Apache Arrow.
flowgger - A fast data collector in Rust
delta-oss
arrow2 - Transmute-free Rust library to work with the Arrow format
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
delta - A syntax-highlighting pager for git, diff, and grep output