Welcome to the **dbt-maxCompute** repository! This project aims to extend the capabilities of **dbt** (data build tool)
for users of Alibaba MaxCompute, a cutting-edge data processing platform.
## What is dbt?
**[dbt](https://www.getdbt.com/)** empowers data analysts and engineers to transform their data using software
engineering best practices. It serves as the **T** in the ELT (Extract, Load, Transform) process, allowing users to
organize, cleanse, denormalize, filter, rename, and pre-aggregate raw data, making it analysis-ready.
## About MaxCompute
MaxCompute is Alibaba Group's cloud data warehouse and big data processing platform, supporting massive data storage and
computation, widely used for data analysis and business intelligence. With MaxCompute, users can efficiently manage and
analyze large volumes of data and gain real-time business insights.
This repository contains the foundational code for the **dbt-maxcompute** adapter plugin. For guidance on developing the
adapter, please refer to the [official documentation](https://docs.getdbt.com/docs/contributing/building-a-new-adapter).
### Important Note
The `README` you are currently viewing will be updated with specific instructions and details on how to utilize the
adapter as development progresses.
### Adapter Versioning
This adapter plugin follows [semantic versioning](https://semver.org/). The initial version is **v1.8.0-a0**, designed
for compatibility with dbt Core v1.8.0. Since the plugin is in its early stages, the version number **a0** indicates
that it is an Alpha release. A stable version will be released in the future, focusing on MaxCompute-specific
functionality and aiming for backwards compatibility.
## Getting Started
### Install the plugin
```bash
# we use conda and python 3.9 for this example
conda create --name dbt-maxcompute-example python=3.9
conda activate dbt-maxcompute-example
pip install dbt-core
pip install dbt-maxcompute
```
### Configure dbt profile:
1. Create a file in the ~/.dbt/ directory named profiles.yml.
2. Copy the following and paste into the new profiles.yml file. Make sure you update the values where noted.
```yaml
jaffle_shop: # this needs to match the profile in your dbt_project.yml file
target: dev
outputs:
dev:
type: maxcompute
project: dbt-example # Replace this with your project name
schema: default # Replace this with schema name, e.g. dbt_bilbo
endpoint: http://service.cn-shanghai.maxcompute.aliyun.com/api # Replace this with your maxcompute endpoint
auth_type: access_key
access_key_id: XXX # Replace this with your accessId(ak)
access_key_secret: XXX # Replace this with your accessKey(sk)
```
Currently we support the following parameters：
| **Field** | **Description** | **Default Value** |
|---------------------|-------------------------------------------------------------------------------------------------------------|---------------------------------------|
| `type` | The type of database connection. Must be set to `"maxcompute"` for MaxCompute connections. | `"maxcompute"` |
| `project` | The name of your MaxCompute project. | **Required (no default)** |
| `endpoint` | The endpoint URL used to connect to MaxCompute. | **Required (no default)** |
| `schema` | The namespace schema that the models will use in MaxCompute. | **Required (no default)** |
| `auth_type` | Authentication method for accessing MaxCompute. | `"access_key"` |
| `access_key_id` | Access ID used for authentication. | **Required if using access key auth** |
| `access_key_secret` | Access Key Secret used for authentication. | **Required if using access key auth** |
| Other auth options | Alternative authentication methods such as STS. See [Authentication Configuration](docs/authentication.md). | **Varies by auth type** |
> **Note**: Fields marked with "Required" must be explicitly specified in your configuration.
### Run your dbt models
If you are new to DBT, we have prepared a [Tutorial document](docs/Tutorial.md) for your reference. Of course, you can also access the
official documentation provided by DBT (but some additional adaptations may be required for MaxCompute)
### Configure Your dbt Models
You can customize dbt materialization behavior through model configurations. For general dbt configuration reference,
see the official documentation: [dbt Model Configs](https://docs.getdbt.com/reference/model-configs).
While dbt core provides native configurations like `materialized` and `sql_header`, this section focuses on
**dbt-maxcompute specific configurations** that control table creation behavior during materialization.
#### dbt-maxcompute Specific Configurations
| Parameter | Type | Default | Description |
|----------------------------|--------------------|------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| **tblproperties** | Map[String,String] | - | Additional table properties. Example: `{'table.format.version'='2'}` creates an Append2 table. |
| **transactional** | Boolean | `false` | Equivalent to `tblproperties ('transactional' = 'true')`. Indicates whether to create a transactional table. |
| **delta** | Boolean | `false` | Same to **transactional**, additional primary key validation. |
| **primary_keys** | List[String] | - | List of primary key column names (e.g., `['c1']`). Required when `delta=true`. |
| **delta_table_bucket_num** | Integer | `16` | Equivalent to `tblproperties ('write.bucket.num' = 'xx')`. Controls bucket count for Delta tables. |
| **partition_by** | Map | - | Defines partitioning strategy with two fields: