How to load data from Adjust to Clickhouse

Learn how to use Airbyte to synchronize your Adjust data into Clickhouse within minutes.

Try Airbyte Cloud Manual method (the hard way)

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Building in-house pipelines

Bespoke pipelines are:

Inconsistent and inaccurate data
Laborious and expensive
Brittle and inflexible

Furthermore, you will need to build and maintain Y x Z pipelines with Y sources and Z destinations to cover all your needs.

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Airbyte connections are:

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All your pipelines in minutes, however custom they are, thanks to Airbyte’s connector marketplace and AI Connector Builder.

Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Adjust connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up Clickhouse for your extracted Adjust data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Adjust to Clickhouse in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

Try Airbyte Cloud Manual method (the hard way)

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Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

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Try Airbyte Cloud Manual method (the hard way)

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How to Sync to Manually

Step 1: Understand Adjust's API

Begin by familiarizing yourself with Adjust's API documentation. Adjust provides a RESTful API that allows you to extract reports and data. Ensure you understand how to authenticate requests, the available endpoints, and the data formats Adjust supports. This will be crucial for configuring your data extraction scripts.

Step 2: Set Up API Authentication

You'll need to authenticate your API requests to Adjust. Typically, this involves using an API token or key provided by Adjust. Securely store this credential and use it to authenticate your requests. Test the authentication by making a simple API call to ensure it works as expected.

Step 3: Extract Data from Adjust

Write a script (using a language like Python) to call Adjust’s API and fetch the data you need. Use HTTP GET requests to extract the required data. Ensure your script can handle pagination if the data set is large, and consider other factors like rate limits and timeouts when designing your script.

Step 4: Transform Data to ClickHouse-Compatible Format

Once you have the data, you may need to transform it into a format suitable for ClickHouse. ClickHouse supports various formats like CSV, JSON, and TSV. Convert the data from Adjust into one of these formats. Ensure the data types and structure align with the schema you plan to use in ClickHouse.

Step 5: Set Up ClickHouse Environment

Ensure you have a running ClickHouse server where you can load the data. Set up your database and table schemas in ClickHouse to match the transformed data structure. Use the ClickHouse client or a suitable interface to create databases and tables.

Step 6: Load Data into ClickHouse

Use the ClickHouse client or HTTP interface to load your transformed data into ClickHouse. If using the HTTP interface, make sure to specify the appropriate format (e.g., CSV) and handle any necessary configurations like batch sizes or input paths. Test with a small data set to ensure everything loads correctly before attempting a full data load.

Step 7: Automate the Process

Once you've successfully loaded data, automate the process for regular updates. Use a scheduling tool like cron jobs on a Unix-based system to run your extraction and loading scripts at regular intervals. Ensure the automation handles errors gracefully and logs activities for future reference.
By following these steps, you can efficiently transfer data from Adjust to ClickHouse without relying on third-party connectors or integrations.