How to load data from K6 Cloud to Postgres destination

Learn how to use Airbyte to synchronize your K6 Cloud data into Postgres destination within minutes.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a K6 Cloud connector in Airbyte

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

Set up Postgres destination for your extracted K6 Cloud 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 K6 Cloud to Postgres destination 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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How to Sync to Manually

Step 1: Extract Data from k6 Cloud

Start by running your k6 load test in the cloud. Once the test is complete, export the test results. You can use the k6 CLI to download the results in a JSON format. Use the command `k6 cloud --out json=results.json` to save the test results locally.

Open the exported JSON file to understand its data structure. Identify the key performance metrics and data points you want to store in your PostgreSQL database, such as requests, response times, and error rates.

Ensure your PostgreSQL database is running and accessible. Use SQL commands to create a database and the necessary tables to hold the k6 data. For example, you might create a table with columns like test_id, timestamp, request_count, and error_rate.

Develop a script in a language like Python to parse the JSON data. Use libraries such as `json` to read and process the file. Map the parsed data to the corresponding columns in your PostgreSQL table. This step ensures the data is formatted correctly for insertion.

Use a database library in your chosen programming language to connect to your PostgreSQL database. In Python, you can use the `psycopg2` library. Ensure you have the correct credentials and access permissions to write to the database.

Once connected, use SQL `INSERT` statements within your script to load the transformed data into your PostgreSQL tables. Ensure you handle any potential errors, such as duplicate entries or data type mismatches, with appropriate exception handling.

After loading the data, perform checks to verify its integrity. Execute SQL queries to ensure that the data in your PostgreSQL database matches the data from the k6 cloud results. Check for any discrepancies and rectify them as needed.

By following these steps, you can effectively transfer data from k6 cloud to a PostgreSQL database without relying on third-party connectors or integrations.