This Week in Databend #105

Databend is a modern cloud data warehouse, serving your massive-scale analytics needs at low cost and complexity. Open source alternative to Snowflake. Also available in the cloud: https://app.databend.com .

What's On In Databend

Stay connected with the latest news about Databend.

Loading Data with Debezium

Debezium is a set of distributed services to capture changes in your databases. debezium-server-databend is a lightweight CDC tool developed by Databend, based on Debezium Engine.

This tool provides a simple way to monitor and capture database changes, transforming them into consumable events without the need for large data infrastructures like Flink, Kafka, or Spark.

If you are interested in learning more, please check out the resources listed below.

• Docs | Loading Data with Tools - Debezium

Code Corner

Discover some fascinating code snippets or projects that showcase our work or learning journey.

Getting started with Iceberg using Databend

Apache Iceberg is a high-performance open table format designed for large-scale analytics workloads. It is known for its simplicity and reliability.

With Databend's Multiple Catalog capability and IceLake's Iceberg Rust implementation, Databend now supports mounting and analyzing data stored in Iceberg table format in the form of a Catalog.

CREATE CATALOG iceberg_ctl
TYPE=ICEBERG
CONNECTION=(
    URL='s3://warehouse/path/to/db'
    AWS_KEY_ID='admin'
    AWS_SECRET_KEY='password'
    ENDPOINT_URL='your-endpoint-url'
);

If you are interested in learning more, please check out the resources listed below:

• Blog | Feature Preview: Iceberg Integration with Databend

Highlights

We have also made these improvements to Databend that we hope you will find helpful:

• Added Transport Layer Security (TLS) support for MySQL handler.
• Added Geo functions: h3_to_string, string_to_h3, h3_is_res_class_iii, h3_is_pentagon, h3_get_faces, h3_cell_area_m2, and h3_cell_area_rads2.
• Read document Docs | Network Policy to learn how to manage network policies in Databend.

What's Up Next

We're always open to cutting-edge technologies and innovative ideas. You're more than welcome to join the community and bring them to Databend.

Native async fn in Trait

Since the MVP of native async-fn-in-trait in Rust was launched in November 2022, it has been available for testing on Rust nightly channel. It may be time to evaluate the status of this feature and consider using it instead of async_trait.

#![feature(async_fn_in_trait)]

trait Database {
    async fn fetch_data(&self) -> String;
}

impl Database for MyDb {
    async fn fetch_data(&self) -> String { ... }
}

Issue #12201 | Refactor: use native async fn in trait syntax

Please let us know if you're interested in contributing to this feature, or pick up a good first issue at https://link.databend.rs/i-m-feeling-lucky to get started.

Changelog

You can check the changelog of Databend Nightly for details about our latest developments.

Full Changelog: https://github.com/datafuselabs/databend/compare/v1.2.42-nightly...v1.2.51-nightly

🎉 Contributors

22 contributors

Thanks a lot to the contributors for their excellent work.