How to load data from Workable to Clickhouse

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

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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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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 Workable 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 Workable 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 Workable 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.

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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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Fully Featured & Integrated

Airbyte automates schema evolution for seamless data flow, and utilizes efficient Change Data Capture (CDC) for real-time updates. Select only the columns you need, and leverage our dbt integration for powerful data transformations.

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Tech Lead at Symend

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How to Sync to Manually

Step 1: Extract Data from Workable

First, you need to extract the data from Workable. This can typically be done by using the export feature within the Workable platform. Navigate to the reports or data section and choose the option to export your desired dataset, such as candidate information or job listings. Export the data in a common format like CSV or JSON, which can be easily processed and imported into ClickHouse.

Step 2: Prepare the Data for Transfer

Once exported, review the data to ensure it contains all necessary fields and is in a clean, structured format. If needed, use a scripting language like Python or tools like Excel to clean and format the data. Ensure that the data types are consistent and aligned with the schema you plan to use in ClickHouse, as this will facilitate smoother importing.

Step 3: Set Up ClickHouse Environment

Before importing, ensure your ClickHouse environment is correctly set up. This involves installing ClickHouse on your server if it isn't already installed. You can use the official ClickHouse installation guide to set it up on your preferred operating system. Verify that you have the necessary permissions to create databases and tables.

Step 4: Define ClickHouse Table Schema

Using the ClickHouse client or your preferred SQL editor, define the table schema in ClickHouse that matches the structure of your Workable data. Use the `CREATE TABLE` statement to specify the data types for each column, ensuring compatibility with the data you plan to import. This step is crucial for avoiding errors during the import process.

Step 5: Transfer Data to ClickHouse Server

Transfer your prepared CSV or JSON file to the server where ClickHouse is installed. You can use command-line tools like `scp` (for secure copy) to move the file from your local machine to the server. Ensure the file is placed in a directory with appropriate permissions so it can be accessed during the import process.

Step 6: Import Data into ClickHouse

Utilize ClickHouse's `INSERT INTO ... FROM INFILE` command to begin importing the data. Connect to the ClickHouse server using the command-line client and execute the command, specifying the path to your CSV or JSON file. Make sure to include format specifications if necessary, like `FORMAT CSV` or `FORMAT JSONEachRow`.

Step 7: Verify Data Integrity and Completeness

After importing, perform checks to verify that all data has been successfully and accurately imported into ClickHouse. Use SQL queries to compare record counts, check for null values, and validate data integrity against the Workable export. This step ensures that the data transfer was successful and that the data can be reliably used for analysis or reporting.

By following these steps, you can manually transfer data from Workable to a ClickHouse warehouse without relying on third-party connectors or integrations.