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docs(weekly): add this week in databend 119 (#34)
* docs(weekly): add this week in databend 119 Signed-off-by: Chojan Shang <psiace@apache.org> * docs: apply suggestions from code review Co-authored-by: soyeric128 <soyeric128@yahoo.com> * Update blog/2023-11-12-databend-weekly-119.md * Update blog/2023-11-12-databend-weekly-119.md --------- Signed-off-by: Chojan Shang <psiace@apache.org> Co-authored-by: soyeric128 <soyeric128@yahoo.com>
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blog/2023-11-05-databend-weekly-118.md

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You can check the changelog of Databend Nightly for details about our latest developments.
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**Full Changelog**: <https://github.com/datafuselabs/databend/compare/v1.2.174-nightly...v1.2.183-nightly>
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**Full Changelog**: <https://github.com/datafuselabs/databend/compare/v1.2.183-nightly...v1.2.193-nightly>
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---
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title: "This Week in Databend #119"
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date: 2023-11-12
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slug: 2023-11-12-databend-weekly
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cover_url: 'weekly/weekly-119.jpg'
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image: 'weekly/weekly-119.jpg'
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tags: [weekly]
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description: "Stay up to date with the latest weekly developments on Databend!"
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contributors:
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- name: andylokandy
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- name: b41sh
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- name: BohuTang
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- name: Chasen-Zhang
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- name: dantengsky
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- name: Dousir9
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- name: drmingdrmer
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- name: everpcpc
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- name: flaneur2020
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- name: guojidan
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- name: hantmac
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- name: JackTan25
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- name: lichuang
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- name: SkyFan2002
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- name: sundy-li
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- name: TCeason
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- name: Xuanwo
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- name: xudong963
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- name: youngsofun
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- name: zhang2014
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- name: zhyass
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authors:
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- name: PsiACE
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url: https://github.com/psiace
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image_url: https://github.com/psiace.png
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---
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[Databend](https://github.com/datafuselabs/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> .
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## What's New
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Stay informed about the latest features of Databend.
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### User Case: Databend Cloud Helped AIGC Startup Reduce Cost
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Databend Cloud is an easy-to-use, low-cost, high-performance next-gen big data analytics platform built on the open-source cloud-native data warehouse project Databend.
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By using Databend Cloud for analytics, the startup reduced their user behavior log analysis costs to 1% of their previous solution.
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![Databend Cloud AIGC Solution](../static/img/blog/databend-cloud-aigc-solution.png)
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Databend Cloud did an excellent job assisting with user behavior analysis and providing insights into root causes.
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- Monthly analysis and dashboard costs dropped by 100x.
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- Raw data is stored in the customer's own object storage for further compliance check.
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- Databend Cloud's excellent capacities for handling semi-structured data and complex queries perfectly matched the customer's business requirements and facilitated the migration of their analytics jobs to Databend Cloud.
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If you want to learn more, please feel free to contact the [Databend team](https://databend.com/contact-us/), or check out the resources listed below.
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- [Blog | Databend Cloud Helped AIGC Startup Reduce Cost](https://www.databend.com/blog/down-costs-for-aigc-startup/)
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## Code Corner
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Discover some fascinating code snippets or projects that showcase our work or learning journey.
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### databend-udf Released, Databend Cloud Officially Supports External Functions
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Databend supports creating UDFs using programming languages you are familiar with to customize data processing workflows and integrate into data analysis workflows.
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Currently, Databend has packaged and released the Python SDK `databend-udf` to PyPI, for users to easily define and implement Python-based UDFs. We will also provide SDK support in more languages in the future, stay tuned.
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In addition, Databend Cloud now also supports external UDFs. If you want to try it out, please contact us by creating a ticket and provide the UDF server address.
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For more information, please check out the resources below.
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- [Docs | External Function](https://databend.rs/doc/sql-commands/ddl/external-function/)
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- [databend-udf · PyPI](https://pypi.org/project/databend-udf/)
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## Highlights
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We have also made these improvements to Databend that we hope you will find helpful:
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- Introduced `translate` function.
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- Introduced a new system table named `task_history` .
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- `MERGE INTO` now supports using table directly as a data source.
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- `SHOW DROP TABLE` now supports filtering and `LIMIT` options.
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## What's Up Next
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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.
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### New Function: CURRENT_TIMESTAMP
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The `CURRENT_TIMESTAMP` function returns the current date and time, with an optional precision parameter to control the number of digits after the decimal point in the output.
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```SQL
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SELECT CURRENT_TIMESTAMP(2);
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+------------------------+
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| CURRENT_TIMESTAMP(2) |
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|------------------------|
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| 2023-11-12 10:23:18.35 |
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+------------------------+
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SELECT CURRENT_TIMESTAMP();
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+-------------------------------+
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| CURRENT_TIMESTAMP |
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|-------------------------------|
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| 2023-11-12 10:25:27.358000000 |
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+-------------------------------+
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```
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[Issue #13689 | Feature: support function: CURRENT_TIMESTAMP](https://github.com/datafuselabs/databend/issues/13689)
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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.
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## Changelog
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You can check the changelog of Databend Nightly for details about our latest developments.
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**Full Changelog**: <https://github.com/datafuselabs/databend/compare/v1.2.193-nightly...v1.2.206-nightly>
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