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The MySQL adapter plugin for dbt

Project description


Tests and Code Checks Integration Tests Badge

This plugin ports dbt functionality to MySQL and MariaDB.

This is an experimental plugin:

  • We have not tested it extensively
  • Storage engines other than the default of InnoDB are untested
  • Only tested with dbt-tests-adapter with the following:
    • MySQL 5.7
    • MySQL 8.0
    • MariaDB 10.5
  • Compatiblity with other dbt packages (like dbt_utils) is also untested
  • Supported Python Versions are: 3.6, 3.7, 3.8 & 3.9

Please read these docs carefully and use at your own risk. Issues and PRs welcome!

Table of Contents


This plugin can be installed via pip:

$ python -m pip install dbt-mysql

Supported features

MariaDB 10.5 MySQL 5.7 MySQL 8.0 Feature
Table materialization
View materialization
Incremental materialization
Ephemeral materialization
Custom data tests
Docs generate
🤷 🤷 Snapshots


  • Ephemeral materializations rely upon Common Table Expressions (CTEs), which are not supported until MySQL 8.0
  • MySQL 5.7 has some configuration gotchas that affect snapshots (see below).

MySQL 5.7 configuration gotchas

dbt snapshots might not work properly due to automatic initialization and updating for TIMESTAMP if:

  • the output of SHOW VARIABLES LIKE 'sql_mode' includes NO_ZERO_DATE

A solution is to include the following in a *.cnf file:

explicit_defaults_for_timestamp = true
sql_mode = "ALLOW_INVALID_DATES,{other_sql_modes}"

where {other_sql_modes} is the rest of the modes from the SHOW VARIABLES LIKE 'sql_mode' output.

Configuring your profile

A dbt profile can be configured to run against MySQL using configuration example below.

Use type: mysql for MySQL 8.x, type: mysql5 for MySQL 5.x, and type: mariadb for MariaDB.

Example entry for profiles.yml:

  target: dev
      type: mysql
      server: localhost
      port: 3306
      schema: analytics
      username: your_mysql_username
      password: your_mysql_password
      ssl_disabled: True
      charset: utf8mb4
      collation: utf8mb4_0900_ai_ci
Option Description Required? Example
type The specific adapter to use Required mysql, mysql5 or mariadb
server The server (hostname) to connect to Required
port The port to use Optional 3306
schema Specify the schema (database) to build models into Required analytics
username The username to use to connect to the server Required dbt_admin
password The password to use for authenticating to the server Required correct-horse-battery-staple
ssl_disabled Set to enable or disable TLS connectivity to mysql5.x Optional True or False
charset Specify charset to be used by a connection Optional utf8mb4
collation Set to enable or disable TLS connectivity to mysql5.x Optional utf8mb4_0900_ai_ci


Conflicting terminology is used between:

  • dbt
  • Database management systems (DBMS) like MySQL, Postgres, and Snowflake
  • metadata in the ANSI-standard information_schema

The conflicts include both:

  • the same word meaning different things
  • different words meaning the same thing

For example, a "database" in MySQL is not the same as a "database" in dbt, but it is equivalent to a "schema" in Postgres 🤯.

dbt-mysql uses the dbt terms. The native MySQL verbiage is restricted to SQL statements.

This cross-walk aligns the terminology:

information_schema dbt (and Postgres) MySQL
catalog database undefined / not implemented
schema schema database
relation (table/view) relation (table/view) relation (table/view)
column column column

Additionally, many DBMS have relation names with three parts whereas MySQL has only two. E.g., a fully-qualified table name in Postgres is database.schema.table versus database.table in MySQL. The missing part in MySQL is the information_schema "catalog".

DBMS Fully-qualified relation name Parts
Postgres database.schema.table 3
MySQL database.table 2

Running Tests

See tests/ for details on running the integration tests.

Reporting bugs and contributing code


dbt-mysql borrows from dbt-spark and dbt-sqlite since Spark and SQLite also use two-part relation names.

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