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.

Requirements

Python 3.10+

meltano-map-transformer in action

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

Settings

Setting	Required	Default	Description
stream_maps	True	None	Stream maps
flattening_enabled	False	None	'True' to enable schema flattening and automatically expand nested properties.
flattening_max_depth	False	None	The max depth to flatten schemas.
stream_map_config	False	None	User-defined config values to be used within map expressions.

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

Installation

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

You can see a full list of published releases here.

For example:

# Use `uv` so that virtual environments are managed automatically:
uv tool install meltano-map-transform

# Alternatively, use `pipx`:
pipx install meltano-map-transform

Meltano installation instructions

Add this plugin to your Meltano project

meltano add mapper meltano-map-transformer

Install the plugin
```
meltano install
```

Configure the plugin

# meltano.yml
plugins:
  mappers:
  - name: meltano-map-transformer
    pip_url: meltano-map-transform
    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

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

Download files

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Source Distribution

meltano_map_transform-0.12.3.tar.gz (990.8 kB view details)

Uploaded Jul 13, 2026 Source

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Publisher: build.yaml on MeltanoLabs/meltano-map-transform

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- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: meltano_map_transform-0.12.3.tar.gz
- Subject digest: ddbee598e2a911670900271d5402730794a6e72b963a76594ae5479df204155d
- Sigstore transparency entry: 2158696310
- Sigstore integration time: Jul 13, 2026
Source repository:
- Permalink: MeltanoLabs/meltano-map-transform@a9497efa0bda2273358b8bca2b7d2fd3ace1d7a3
- Branch / Tag: refs/tags/v0.12.3
- Owner: https://github.com/MeltanoLabs
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