معرفی شرکت ها
dbt-trino-1.5.0
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مشاهده بیشترتوضیحات
The trino adapter plugin for dbt (data build tool)
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | dbt-trino-1.5.0 |
| نام | dbt-trino |
| نسخه کتابخانه | 1.5.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Starburst Data |
| ایمیل نویسنده | info@starburstdata.com |
| آدرس صفحه اصلی | https://github.com/starburstdata/dbt-trino |
| آدرس اینترنتی | https://pypi.org/project/dbt-trino/ |
| مجوز | Apache License 2.0 |
# dbt-trino
<picture>
<source media="(prefers-color-scheme: dark)" srcset="assets/images/Starburst_Logo_White+Blue.svg" width="98%">
<source media="(prefers-color-scheme: light)" srcset="assets/images/Starburst_Logo_Black+Blue.svg" width="98%">
<img alt="Starburst" src="assets/images/Starburst_Logo_Black+Blue.svg">
</picture>
<picture>
<source media="(prefers-color-scheme: dark)" srcset="assets/images/dbt-signature_tm_light.svg" width="45%">
<source media="(prefers-color-scheme: light)" srcset="assets/images/dbt-signature_tm.svg" width="45%">
<img alt="dbt" src="assets/images/dbt-signature_tm.svg">
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<picture>
<source media="(prefers-color-scheme: dark)" srcset="assets/images/trino-logo-dk-bg.svg" width="50%">
<source media="(prefers-color-scheme: light)" srcset="assets/images/trino-logo-w-bk.svg" width="50%">
<img alt="trino" src="assets/images/trino-logo-w-bk.svg">
</picture>
[](https://github.com/starburstdata/dbt-trino/actions/workflows/ci.yml?query=workflow%3A%22dbt-trino+tests%22+branch%3Amaster+event%3Apush) [](https://getdbt.slack.com/channels/db-presto-trino)
## Introduction
[dbt](https://docs.getdbt.com/docs/introduction) is a data transformation workflow tool that lets teams quickly and collaboratively deploy analytics code, following software engineering best practices like modularity, CI/CD, testing, and documentation. It enables anyone who knows SQL to build production-grade data pipelines.
One frequently asked question in the context of using `dbt` tool is:
> Can I connect my dbt project to two databases?
(see the answered [question](https://docs.getdbt.com/faqs/connecting-to-two-dbs-not-allowed) on the dbt website).
**TL;DR** `dbt` stands for transformation as in `T` within `ELT` pipelines, it doesn't move data from source to a warehouse.
`dbt-trino` adapter uses [Trino](https://trino.io/) as a underlying query engine to perform query federation across disperse data sources. Trino connects to multiple and diverse data sources ([available connectors](https://trino.io/docs/current/connector.html)) via one dbt connection and process SQL queries at scale. Transformations defined in dbt are passed to Trino which handles these SQL transformation queries and translates them to queries specific to the systems it connects to create tables or views and manipulate data.
This repository represents a fork of the [dbt-presto](https://github.com/dbt-labs/dbt-presto) with adaptations to make it work with Trino.
## Compatibility
This dbt plugin has been tested against `Trino` version `414`, `Starburst Enterprise` version `413-e` and `Starburst Galaxy`.
## Setup & Configuration
For information on installing and configuring your profile to authenticate to Trino or Starburst, please refer to [Starburst and Trino Setup](https://docs.getdbt.com/reference/warehouse-setups/trino-setup) in the dbt docs.
### Trino- and Starburst-specific configuration
For Trino- and Starburst-specific configuration, you can refer to [Starburst (Trino) configurations](https://docs.getdbt.com/reference/resource-configs/trino-configs) on the dbt docs site.
## Contributing
- Want to report a bug or request a feature? Let us know on [Slack](http://community.getdbt.com/) in the [#db-presto-trino](https://getdbt.slack.com/channels/db-presto-trino) channel, or open [an issue](https://github.com/starburstdata/dbt-trino/issues/new)
- Want to help us build dbt-trino? Check out the [Contributing Guide](https://github.com/starburstdata/dbt-trino/blob/HEAD/CONTRIBUTING.md)
### Release process
Before doing a release, it is required to bump the dbt-trino version by triggering release workflow `version-bump.yml`. The major and minor part of the dbt version are used to associate dbt-trino's version with the dbt version.
Next step is to merge the bump PR and making sure that test suite pass.
Finally, to release `dbt-trino` to PyPi and GitHub trigger release workflow `release.yml`.
### Backport process
Sometimes it is necessary to backport some changes to some older versions. In that case, create branch from `x.x.latest` branch. There is a `x.x.latest` for each minor version, e.g. `1.3.latest`. Make a fix and open PR back to `x.x.latest`. Create changelog by `changie new` as ususal, as separate changlog for each minor version is kept on every `x.x.latest` branch.
After merging, to make a release of that version, just follow instructions from **Release process** section, but run every workflow on `x.x.latest` branch.
## Code of Conduct
Everyone interacting in the dbt project's codebases, issue trackers, chat rooms, and mailing lists is expected
to follow the [PyPA Code of Conduct](https://www.pypa.io/en/latest/code-of-conduct/).
نیازمندی
| مقدار | نام |
|---|---|
| ~=1.5.0 | dbt-core |
| ~=0.322 | trino |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.7 | Python |
نحوه نصب
نصب پکیج whl dbt-trino-1.5.0:
pip install dbt-trino-1.5.0.whl
نصب پکیج tar.gz dbt-trino-1.5.0:
pip install dbt-trino-1.5.0.tar.gz