sbalnojan/meltano-map-transform

A map transformer which implements the `Stream Maps` capability from Meltano's tap and target SDK: https://sdk.meltano.com/

meltano-map-transformer

A map transformer to duplicate, filter, hash, mask and do many more small transformations in your extract & load pipelines. Implements the Stream Maps capability.

This mapper plugin is fully compliant with the Singer Spec and can be placed in between any Singer tap and target.

meltano-map-transformer in action

For a collection of examples, take a look at examples/README.md.

Here's one of them!:

1. Add this plugin to your Meltano project

   meltano add mapper meltano-map-transformer

2. Install the plugin

   meltano install

3. Configure the plugin

   # meltano.yml
   plugins:
     mappers:
     - name: meltano-map-transformer
       pip_url: "git+https://github.com/MeltanoLabs/meltano-map-transform.git"
       executable: meltano-map-transform
       mappings:
       - name: hash_email
         config:
           stream_maps:
             customers:
               email: null # drop the PII field from RECORD and SCHEMA messages
               email_domain: email.split('@')[-1]
               email_hash: md5(config['hash_seed'] + email)
               __else__: null # drop all other fields
           stream_map_config:
             hash_seed: 01AWZh7A6DzGm6iJZZ2T

4. Use the plugin in your pipelines

   meltano run tap-csv hash_email target-sqlite

Capabilities

• stream-maps

Settings

Setting	Required	Default	Description
stream_maps	True	None	Stream maps

A full list of supported settings and capabilities is available by running: meltano-map-transformer --about

Installation

We recommend using GitHub release tags when installing with pip. We also recommend using pipx or meltano instead of installing with pip directly.

You can see a full list of published releases here.

For example:

# Update the below with the latest published release:
#  https://github.com/MeltanoLabs/meltano-map-transform/releases

# Install with pip, ideally in a new virtual environment to avoid conflicts:
pip install git+https://github.com/MeltanoLabs/meltano-map-transform.git@v0.0.1

# Or better yet, use `pipx` so that virtual environments are managed automatically:
pipx install git+https://github.com/MeltanoLabs/meltano-map-transform.git@v0.0.1