Databend Open Source Weekly Issue 119

From data to large model application, on November 25th, Hangzhou Yuanchuang Conference was held to share development tips.

Databend is a modern cloud data warehouse. Designed for flexibility and efficiency to support your large-scale analysis needs. Free and open source. Experience the cloud service now: https://app.databend.cn .

What's On In Databend

Explore Databend's new developments this week and encounter Databend that is closer to your heart.

User case: Application of Databend Cloud in AIGC startup company

Databend Cloud provides easy-to-use, efficient and cost-effective big data processing solutions. By choosing Databend Cloud for analysis and processing, an AIGC startup company reduced the cost of user behavior log analysis to one percent of the original solution.

Databend Cloud is currently used to solve the needs of user behavior analysis and root cause analysis, and can achieve:

Monthly costs for analytics and dashboards dropped to one percent of the original solution.
The original data is stored under the customer's own object storage account to meet the customer's own further compliance needs.
Good support for semi-structured data formats and complex queries, good migration experience, and in line with business needs.

If you'd like to learn more, feel free to contact the Databend team or check out the resources listed below.

Blog | How Databend Cloud helps AIGC startups reduce costs by a hundred times

Code Corner

Let’s explore code snippets or projects in Databend and the surrounding ecosystem.

databend-udf is released, the cloud platform officially supports external functions

Databend supports creating UDFs using your familiar programming languages to customize data processing and integrate data analysis workflows.

Currently, Databend has packaged and released the Python SDK of databend-udf to PyPI to facilitate users to define and implement Python-based UDF. We will also provide SDK support for more languages in the future, so stay tuned.

In addition, Databend Cloud already supports external UDF. If you want to try it out, please create a ticket to contact us and provide the UDF server address.

If you would like to learn more, check out the resources listed below.

Highlights

Here are some noteworthy events, maybe you can find something of interest.

Added translatefunction.
Support task_historysystem tables.
MERGE INTOSupports direct use of tables as data sources.
SHOW DROP TABLEFiltering and LIMIToptions are now supported.

What's Up Next

We are always open to cutting-edge technologies and innovative ideas, and welcome you to join the community and inject vitality into Databend.

Support functions`CURRENT_TIMESTAMP`

Function CURRENT_TIMESTAMPused to return the current date and time, supporting optional precision options to control the number of digits after the decimal point output.

Reference examples are as follows:

SELECT CURRENT_TIMESTAMP(2);

+------------------------+
| CURRENT_TIMESTAMP(2)   |
|------------------------|
| 2023-11-12 10:23:18.35 |
+------------------------+

SELECT CURRENT_TIMESTAMP();

+-------------------------------+
| CURRENT_TIMESTAMP             |
|-------------------------------|
| 2023-11-12 10:25:27.358000000 |
+-------------------------------+

Issue #13689 | Feature: support function: CURRENT_TIMESTAMP

If you are interested in this topic, you can try to solve some of the problems or participate in discussions and PR reviews. Alternatively, you can click on https://link.databend.rs/im-feeling-lucky to pick a random question, good luck!

Changelog

Check out the changelog for Databend's daily builds to stay up to date on the latest developments.

Address: https://github.com/datafuselabs/databend/releases

Contributors

A big thank you to the contributors for their great work this week.

Connect With Us

Databend is an open source, flexible, low-cost, new data warehouse based on object storage that can also perform real-time analysis. We look forward to your attention and exploring cloud native data warehouse solutions together to create a new generation of open source Data Cloud.