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Add credentials

  1. Create a new pipeline or open an existing pipeline.
  2. Expand the left side of your screen to view the file browser.
  3. Scroll down and click on a file named io_config.yaml.
  4. Enter the following keys and values under the key named default (you can have multiple profiles, add it under whichever is relevant to you)
version: 0.1.1
default:
  PINOT_HOST: ...
  PINOT_PASSWORD: ...
  PINOT_PATH: /query/sql
  PINOT_PORT: 8000
  PINOT_SCHEME: http
  PINOT_USER: ...

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Using Python block

  1. Create a new pipeline or open an existing pipeline.
  2. Add a data loader.
  3. Select Pinot.
  4. You will get the below code snippet:
from mage_ai.data_preparation.repo_manager import get_repo_path
from mage_ai.io.config import ConfigFileLoader
from mage_ai.io.pinot import Pinot
from os import path
if 'data_loader' not in globals():
    from mage_ai.data_preparation.decorators import data_loader
if 'test' not in globals():
    from mage_ai.data_preparation.decorators import test


@data_loader
def load_data_from_pinot(*args, **kwargs):
    """
    Template for loading data from a Pinot warehouse.
    Specify your configuration settings in 'io_config.yaml'.
    Docs: https://docs.mage.ai/design/data-loading#pinot
    """
    query = 'your Pinot query'  # Specify your SQL query here
    config_path = path.join(get_repo_path(), 'io_config.yaml')
    config_profile = 'default'

    with Pinot.with_config(ConfigFileLoader(config_path, config_profile)) as loader:
        return loader.load(query)


@test
def test_output(output, *args) -> None:
    """
    Template code for testing the output of the block.
    """
    assert output is not None, 'The output is undefined'
  1. Enter the SQL query in place of ‘your Pinot query’.
  2. Run the block.