dbt Redshift

dbt-redshift from dbt-labs

The dbt-redshift transformer is a plugin for running SQL-based transformations on data stored in your warehouse.

Getting Started

Prerequisites

If you haven't already, follow the initial steps of the Getting Started guide:

  1. Install Meltano
  2. Create your Meltano project

Installation and configuration

  1. Add the dbt-redshift transformer to your project using
    meltano add
    :
  2. meltano add transformer dbt-redshift
  3. Configure the dbt-redshift settings using
    meltano config
    :
  4. meltano config dbt-redshift set --interactive

Next steps

If you run into any issues, learn how to get help.

Capabilities

This plugin currently has no capabilities defined. If you know the capabilities required by this plugin, please contribute!

Settings

Settings for dbt itself can be configured through dbt_project.yml as usual, which can be found at transform/dbt_project.yml in your Meltano project. dbt also has adapter-specific documentation for Redshift.

The dbt-redshift settings that are known to Meltano are documented below. To quickly find the setting you're looking for, click on any setting name from the list:

You can override these settings or specify additional ones in your meltano.yml by adding the settings key.

Please consider adding any settings you have defined locally to this definition on MeltanoHub by making a pull request to the YAML file that defines the settings for this plugin.

Project Directory (project_dir)

  • Environment variable: DBT_REDSHIFT_PROJECT_DIR
  • Default Value: $MELTANO_PROJECT_ROOT/transform
[No description provided.]

Profiles Directory (profiles_dir)

  • Environment variable: DBT_REDSHIFT_PROFILES_DIR
  • Default Value: $MELTANO_PROJECT_ROOT/transform/profiles/redshift
[No description provided.]

Authentication Method (auth_method)

  • Environment variable: DBT_REDSHIFT_AUTH_METHOD

The auth method to use (to use iam, set to "iam". Omit to use password-based auth.)

Cluster ID (cluster_id)

  • Environment variable: DBT_REDSHIFT_CLUSTER_ID

The cluster id.

Host (host)

  • Environment variable: DBT_REDSHIFT_HOST

The host for the cluster.

Password (password)

  • Environment variable: DBT_REDSHIFT_PASSWORD

The password, if using password-based auth.

User (user)

  • Environment variable: DBT_REDSHIFT_USER

The user to connect as.

Port (port)

  • Environment variable: DBT_REDSHIFT_PORT

The port to connect to.

Database (dbname)

  • Environment variable: DBT_REDSHIFT_DBNAME

The name of the db to connect to.

Schema (schema)

  • Environment variable: DBT_REDSHIFT_SCHEMA

The schema to use.

IAM Profile (iam_profile)

  • Environment variable: DBT_REDSHIFT_IAM_PROFILE

The IAM profile to use.

IAM Duration Seconds (iam_duration_seconds)

  • Environment variable: DBT_REDSHIFT_IAM_DURATION_SECONDS

Duration of the IAM session.

Autocreate (autocreate)

  • Environment variable: DBT_REDSHIFT_AUTOCREATE

Whether or not to automatically create entities.

Databse Groups (db_groups)

  • Environment variable: DBT_REDSHIFT_DB_GROUPS

Database groups to use.

Keep Alives Idle (keepalives_idle)

  • Environment variable: DBT_REDSHIFT_KEEPALIVES_IDLE

Seconds between TCP keepalive packets

Search Path (search_path)

  • Environment variable: DBT_REDSHIFT_SEARCH_PATH

The search path to use (use of this setting is not recommended)

SSL Mode (sslmode)

  • Environment variable: DBT_REDSHIFT_SSLMODE

SSL MOde used to connect to Redshift.

RA3 Node (ra3_node)

  • Environment variable: DBT_REDSHIFT_RA3_NODE

Enables cross-database sources.

Commands

The dbt-redshift transformer supports the following commands that can be used with
meltano invoke
:

build

  • Equivalent to: build

Will run your models, tests, snapshots and seeds in DAG order.

meltano invoke dbt-redshift:build [args...]

clean

  • Equivalent to: clean

Delete all folders in the clean-targets list (usually the dbt_modules and target directories.)

meltano invoke dbt-redshift:clean [args...]

compile

  • Equivalent to: compile

Generates executable SQL from source model, test, and analysis files. Compiled SQL files are written to the target/ directory.

meltano invoke dbt-redshift:compile [args...]

debug

  • Equivalent to: debug

Debug your DBT project and warehouse connection.

meltano invoke dbt-redshift:debug [args...]

deps

  • Equivalent to: deps

Pull the most recent version of the dependencies listed in packages.yml

meltano invoke dbt-redshift:deps [args...]

docs-generate

  • Equivalent to: docs generate

Generate documentation for your project.

meltano invoke dbt-redshift:docs-generate [args...]

docs-serve

  • Equivalent to: docs serve

Serve documentation for your project. Make sure you ran `docs-generate` first.

meltano invoke dbt-redshift:docs-serve [args...]

freshness

  • Equivalent to: source freshness

Check the freshness of your source data.

meltano invoke dbt-redshift:freshness [args...]

run

  • Equivalent to: run

Compile SQL and execute against the current target database.

meltano invoke dbt-redshift:run [args...]

seed

  • Equivalent to: seed

Load data from csv files into your data warehouse.

meltano invoke dbt-redshift:seed [args...]

snapshot

  • Equivalent to: snapshot

Execute snapshots defined in your project.

meltano invoke dbt-redshift:snapshot [args...]

test

  • Equivalent to: test

Runs tests on data in deployed models.

meltano invoke dbt-redshift:test [args...]

Something missing?

This page is generated from a YAML file that you can contribute changes to.

Edit it on GitHub!

Looking for help?

If you're having trouble getting the dbt-redshift transformer to work, look for an existing issue in its repository, file a new issue, or join the Meltano Slack community and ask for help in the
#plugins-general
channel.

Install

meltano add transformer dbt-redshift

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