dbt-maxcompute 1.11.1

The MaxCompute adapter plugin for dbt

dbt-maxcompute

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 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.

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. 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

# we use conda and python 3.10 for this example
conda create --name dbt-maxcompute-example python=3.10
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.

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
timezone	The Timezone used for MaxCompute.	"GMT"
tunnel_endpoint	The tunnel endpoint URL used to fetch result from MaxCompute.	Auto detected by endpoint
Other auth options	Alternative authentication methods such as STS. See Authentication Configuration.	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 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.

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: • fields: Comma-separated partition columns • data_types: Optional data types (default: string). When specifying time types (date, datetime, timestamp), creates auto-partitioned tables. Example: {"fields": "name,some_date", "data_types": "string,string"}
lifecycle	Integer	-	Table retention period in days (e.g., 30 for 30-day lifecycle).
sql_hints	Map[String,String]	See below for defaults	SQL hints applied to all queries for optimization or compatibility.

Default SQL Hints

MaxCompute supports global SQL hints to control query behavior and optimize performance. The following are the default global hints used by our system:

odps.sql.type.system.odps2: "true"
odps.sql.decimal.odps2: "true"
odps.sql.allow.fullscan: "true"
odps.sql.select.output.format: "csv"
odps.sql.submit.mode: "script"
odps.sql.allow.cartesian: "true"
odps.sql.allow.schema.evolution: "true"
odps.table.append2.enable": "true"

You can override these defaults by specifying your own sql_hints use model config. Your custom hints will be merged with the defaults — you do not need to repeat the entire list unless you want to change specific values.

Compatible dbt Packages for MaxCompute

The following community-maintained dbt packages have been verified to work with dbt-maxcompute:

1. dbt-date (MaxCompute Edition)
2. dbt-utils (MaxCompute Edition)
3. dbt-expectations (MaxCompute Edition)
4. elementary (MaxCompute Edition)
5. dbt-project-evaluator (MaxCompute Edition)

Known Limitations

Due to MaxCompute engine characteristics, the following limitations apply:

Limitation	Description
No rowcount support	MaxCompute does not return the number of affected rows after DML operations. The rows_affected field in adapter responses will not be available.
No transaction support	MaxCompute does not support traditional database transactions. BEGIN, COMMIT, and ROLLBACK operations are no-ops.

Developers Guide

If you want to contribute or develop the adapter, use the following command to set up your environment:

pip install -r dev-requirements.txt

Reporting Bugs and Contributing

Your feedback helps improve the project:

• To report bugs or request features, please open a new issue on GitHub.

Code of Conduct

We are committed to fostering a welcoming and inclusive environment. All community members are expected to adhere to the dbt Code of Conduct.