ELT & ETL Orchestration

Last Updated: 2021-11-11

It's easy to integrate Grouparoo into your existing ELT/ELT process! Grouparoo is a core part of the modern data stack and provides a number of ways to integrate with the rest of your data infrastructure, and is compatible with a number of different orchestrators - tools that schedule and coordinate different parts of your data pipeline.

There are 4 main ways tell Grouparoo when to check for new or updated data:

Triggering Schedules via Time

The simplest way to check for new data is create a recurring Schedule within Grouparoo. A recurring Schedule will check your Source every-so-often for new data and import it.

For example, this configuration below would check the users table in the data warehouse for new data every 30 minutes. We know data is new because looking at the updated_at column and storing the largest value seen as a High Water Mark

// from config/sources/users.json

    class: "Source",
    id: "users",
    modelId: "users",
    name: "Data Warehouse Users",
    type: "redshift-import-table",
    appId: "data_warehouse",
    options: {
      table: "users",
    mapping: {
      id: "user_id",
    class: "Schedule",
    id: "users_schedule",
    name: "Users Schedule",
    sourceId: "users",
    recurring: true,
    recurringFrequency: 1800000, // 30 minutes in ms
    confirmRecords: false,
    options: {
      column: "updated_at",
    filters: [],

This method is the simplest and is built into Grouparoo directly.

Triggering Schedules via the API

Using the Grouparoo API, you can choose to run a Schedule whenever it is right for you. A common use-case is to trigger all of your Grouparoo Schedules to look for new & updated Records at the conclusion of a dbt transform step via an Orchestrator like Airflow or Dagster.

The /api/v1/schedules/run endpoint can be used to trigger a Run for your Schedules. You can run all of your Schedules or provide a list of specific scheduleIds to run.

First, create an API Key with the write permission on Sources, and then you can use the API as documented below:

# Set Variables

# Request to run all Schedules now
curl \
  -X POST \
  -d "apiKey=$GROUPAROO_API_KEY" \

# --- OR ---

# Request to view the available schedules
curl \
  -X GET \

# Request to run a specific schedule now
# The names of your schedules will be of the format (source_name)_schedule
# Provide IDs as a JSON Array
curl \
  -X POST \
  -d "apiKey=$GROUPAROO_API_KEY" \
  -d "scheduleIds=[\"users_table_schedule\"]" \

More information about using Grouparoo's REST API can be found here, including how to generate API Keys. You can learn more about the specifics of this (or any) API endpoint that your Grouparoo instance provides by visiting the /swagger page on your Grouparoo instance.

If you want to wait until the Runs created by the call to /api/v1/schedules/run are complete before moving on to the next step in your data pipeline, you can! You can also use the API to retrieve run status:

# Store the Run ID

# Request details of a Run
# Pipe through `jq` to get just the property we are looking for
curl \
  -X GET \
| jq '.run.state'

Note that your API Key will need read access to the run permission as well.

Triggering Schedules via a Query

Coming soon.

Running Grouparoo directly via the CLI

Grouparoo can always be run via the command line with grouparoo run. Some customers may want to run Grouparoo via the CLI directly from their orchestrator as the final part of their ETL/ELT pipeline, or simply every night via cron. For these use cases, we recommend configuring Grouparoo via code config and using the grouparoo run command. This will run all Schedules immediately when grouparoo run is started.

$ grouparoo run

šŸ¦˜ Grouparoo: run
notice: Starting Grouparoo v0.7.4 on node.js v16.8.0

# wait for completion...

ā”Œ-- šŸ¦˜ Run Completed @ 2021-11-12T18:55:38.806Z ---
|   * Records Updated: 105
|   * Records Created: 105
|   * All Records: 105
| 1. Product Users
|   * Records Created: 100
|   * Records Imported: 100
|   * Imports Created: 101
|   * Error: none
| 2. Accounts
|   * Records Created: 5
|   * Records Imported: 5
|   * Imports Created: 6
|   * Error: none
| 1. Logger Destination
|   * Exports Created: 100
|   * Exports Failed: 0
|   * Exports Complete: 100

notice: All Tasks Complete!

There are flags which can be used to customize the run command's behavior. This method of triggering Schedules is only applicable when self-hosting Grouparoo.