How to Integrate MariaDB with dbt in PostgreSQL

Galaxy Glossary

How do I integrate MariaDB with dbt?

Connect dbt to a MariaDB warehouse, run models, and manage incremental transformations through the dbt-mariadb adapter.

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Description

Table of Contents

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Example H2
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Example H3

Why choose dbt for MariaDB analytics?

dbt lets engineers version SQL, test data, and build incremental pipelines. Pairing it with MariaDB keeps storage costs low while adding software-engineering workflows.

How do I install the dbt-mariadb adapter?

Run pip install dbt-mariadb. The package supplies a profile template, macro implementations, and a MariaDB-aware materialization layer.

How do I configure profiles.yml for MariaDB?

Create ~/.dbt/profiles.yml with a mariadb type. Provide host, port, user, and schema. Use environment variables for secrets.

galaxy_maria:
target: dev
outputs:
dev:
type: mariadb
server: localhost
user: $DB_USER
password: $DB_PASS
port: 3306
database: galaxy
schema: analytics

What CLI commands run a MariaDB dbt project?

dbt debug validates connectivity. dbt run builds models. dbt test executes tests. dbt build combines run, test, and docs.

How do I model ecommerce data?

Place SQL in models/. Reference sources via {{ source("public", "orders") }}. Materialize as views, tables, or incremental tables.

-- models/revenue_by_customer.sql
select c.id, c.name,
sum(o.total_amount) as lifetime_spend
from {{ source("public", "customers") }} c
join {{ ref("stg_orders") }} o on o.customer_id = c.id
where o.order_date >= '2023-01-01'
group by 1,2

How do I set up incremental models?

Add {{ config(materialized='incremental', unique_key='id') }} then filter is_incremental() rows. dbt will append only new records.

{{ config(materialized='incremental', unique_key='id') }}
select *
from {{ source('public','orders') }}
{% if is_incremental() %}
where order_date > (select max(order_date) from {{ this }})
{% endif %}

How do I schedule production runs?

Use cron, Airflow, or GitHub Actions to call dbt run --profiles-dir ~/.dbt --project-dir .. Store connection secrets in CI vaults.

Best practices for MariaDB + dbt

1) Partition fact tables by date to speed incremental merges. 2) Enable multi_statements for faster builds. 3) Use dbt deps to pin package versions.

Common mistakes

Forgetting PRIMARY KEY on incremental tables

Without a unique key dbt performs full overwrites. Always define unique_key in the model config.

Using reserved words as column names

MariaDB treats keywords strictly. Quote identifiers or rename columns to avoid parse errors.

Why How to Integrate MariaDB with dbt in PostgreSQL is important

How to Integrate MariaDB with dbt in PostgreSQL Example Usage


-- Build a customer order summary table
dbt run -m revenue_by_customer

-- Example SQL inside the model
drop table if exists analytics.revenue_by_customer;
create table analytics.revenue_by_customer as
select  c.id,
        c.name,
        count(o.id)        as order_count,
        sum(o.total_amount) as gross_revenue
from    customers   c
left join orders    o using (id)
group by 1,2;

How to Integrate MariaDB with dbt in PostgreSQL Syntax


# Installation
pip install dbt-mariadb

# profiles.yml structure
<profile_name>:
  target: <target_name>
  outputs:
    <target_name>:
      type: mariadb               # Required
      server: <host>              # e.g., 127.0.0.1
      port: <port>                # Default 3306
      user: <username>
      password: <password>
      database: <database_name>   # Physical DB
      schema: <schema_name>       # Logical schema
      ssl_mode: [disable|require] # Optional
      threads: <int>              # Parallelism

# Core CLI
 dbt debug                      # Validate profile
 dbt run                         # Build models
 dbt test                        # Run tests
 dbt build                       # run+test+docs
 dbt run -s tag:incremental      # Run tagged models
 dbt docs generate && dbt docs serve

Common Mistakes

Frequently Asked Questions (FAQs)

Can I use dbt seeds with MariaDB?

Yes. Place CSVs in the seeds folder and run dbt seed. dbt will create tables in the target schema.

Does dbt support MariaDB stored procedures?

dbt can run run-operation macros that execute DDL, including stored procedures, but models themselves should remain declarative SQL.

How do I handle case sensitivity?

MariaDB on Linux is case-sensitive. Use lower_case_table_names=1 or quote identifiers consistently to avoid schema mismatches.

Want to learn about other SQL terms?

dbt tests

dbt tests are declarative assertions in dbt that automatically validate data quality during model builds.

dbt utils

dbt utils is a community-maintained dbt package that adds time-saving utility macros for analytics engineers, such as generating surrogate keys, safely unioning models, and automating date spines.

dbt Tutorial Glossary: Build, Test & Deploy SQL Models

dbt is an open-source framework that lets data teams transform raw warehouse tables into tested, documented, production-ready datasets using version-controlled SQL.

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