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tap-superset's Introduction

tap-superset

tap-superset is a Singer tap for Superset.

Built with the Meltano Tap SDK for Singer Taps.

Installation

Install from GitHub:

pipx install git+https://github.com/ORG_NAME/tap-superset.git@main

Configuration

Accepted Config Options

tap-superset

Superset tap class.

Built with the Meltano Singer SDK.

Capabilities

  • catalog
  • state
  • discover
  • about
  • stream-maps
  • schema-flattening
  • batch

Settings

Setting Required Default Description
username True None Username of the db user that has access to superset api
password True None Password
start_date False None The earliest record date to sync
base_url True https://superset.com The url for the API service
stream_maps False None Config object for stream maps capability. For more information check out Stream Maps.
stream_map_config False None User-defined config values to be used within map expressions.
faker_config False None Config for the Faker instance variable fake used within map expressions. Only applicable if the plugin specifies faker as an addtional dependency (through the singer-sdk faker extra or directly).
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.
batch_config False None

A full list of supported settings and capabilities for this tap is available by running:

tap-superset --about

Configure using environment variables

This Singer tap will automatically import any environment variables within the working directory's .env if the --config=ENV is provided, such that config values will be considered if a matching environment variable is set either in the terminal context or in the .env file.

Source Authentication and Authorization

tap-superset uses the /api/v1/security/login endpoint to get its Auth Token from superset.

So it is necessary to set the username and password variables for Authentication. The user provided should have access to the superset API and you can create it with the superset cli

Usage

You can easily run tap-superset by itself or in a pipeline using Meltano.

Executing the Tap Directly

tap-superset --version
tap-superset --help
tap-superset --config CONFIG --discover > ./catalog.json

Developer Resources

Follow these instructions to contribute to this project.

Initialize your Development Environment

pipx install poetry
poetry install

Create and Run Tests

Create tests within the tests subfolder and then run:

poetry run pytest

You can also test the tap-superset CLI interface directly using poetry run:

poetry run tap-superset --help

Testing with Meltano

Note: This tap will work in any Singer environment and does not require Meltano. Examples here are for convenience and to streamline end-to-end orchestration scenarios.

Next, install Meltano (if you haven't already) and any needed plugins:

# Install meltano
pipx install meltano
# Initialize meltano within this directory
cd tap-superset
meltano install

Now you can test and orchestrate using Meltano:

# Test invocation:
meltano invoke tap-superset --version
# OR run a test `elt` pipeline:
meltano elt tap-superset target-jsonl

SDK Dev Guide

See the dev guide for more instructions on how to use the SDK to develop your own taps and targets.

tap-superset's People

Contributors

lorransr avatar luancarlos021 avatar

Watchers

Cássio Lacerda avatar Carlos Mendes avatar Rodrigo Xavier avatar Marcelino Lameu da Silva avatar Adalberto Júnior avatar Rodrigo Feijolo avatar Andre Luis Anastacio avatar Elton Garbin avatar Ghabriel Rodrigues avatar Verdini avatar Fernando Leal avatar Amanda Vianna avatar Renan Morais avatar Alessandra Santos avatar Mª Clara Aderne avatar Luan Santos avatar Alexsander Hage de Melo avatar João Guilherme Menezes avatar Cezar Vinícius de O. Pretto avatar  avatar David Souza avatar Irene Ginani  avatar Willian Silva avatar  avatar Victor Anjos avatar Luiz Alves avatar Arthur Mendes avatar Felipe Andrade avatar Rebeca Morais avatar Vinicius Böbel Leite avatar Lucas Bergmann avatar Lucas Conrado avatar Layza Floriano avatar Maru Keunecke avatar Lucas Aziz avatar

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