TL;DR
This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:
- set up ClickHouse as a source connector (using Auth, or usually an API key)
- set up Google PubSub as a destination connector
- define which data you want to transfer and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.
This tutorial’s purpose is to show you how.
What is ClickHouse
An open-source database management system for online analytical processing (OLAP), ClickHouse takes the innovative approach of using a column-based database. It is easy to use right out of the box and is touted as being hardware efficient, extremely reliable, linearly scalable, and “blazing fast”—between 100-1,000x faster than traditional databases that write rows of data to the disk—allowing analytical data reports to be generated in real-time.
What is Google PubSub
Google Pub/Sub is an asynchronous messaging service built to be both highly reliable and scalable. Based on a component of Google’s infrastructure, Pub/Sub offers the capabililty of sending more than 500 million messages (over 1 TB of data) per second.
Prerequisites
- A ClickHouse account to transfer your customer data automatically from.
- A Google PubSub account.
- An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.
Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including ClickHouse and Google PubSub, for seamless data migration.
When using Airbyte to move data from ClickHouse to Google PubSub, it extracts data from ClickHouse using the source connector, converts it into a format Google PubSub can ingest using the provided schema, and then loads it into Google PubSub via the destination connector. This allows businesses to leverage their ClickHouse data for advanced analytics and insights within Google PubSub, simplifying the ETL process and saving significant time and resources.
Step 1: Set up ClickHouse as a source connector
1. First, navigate to the Airbyte dashboard and click on the "Destinations" tab on the left-hand side of the screen.
2. Next, click on the "Add Destination" button in the top right corner of the screen.
3. Select "ClickHouse" from the list of available destinations.
4. Enter the necessary information for your ClickHouse database, including the host, port, username, and password.
5. Choose the database and table you want to connect to from the dropdown menus.
6. Configure any additional settings, such as the batch size or maximum number of retries.
7. Test the connection to ensure that everything is working properly.
8. Once you have successfully connected to your ClickHouse database, you can begin syncing data from your source connectors to your ClickHouse destination.
Step 2: Set up Google PubSub as a destination connector
1. Go to the Airbyte website and log in to your account.
2. Click on the "Destinations" tab on the left-hand side of the screen.
3. Scroll down until you find the "Google Sheets" destination connector and click on it.
4. Click on the "Create Destination" button.
5. Enter a name for your destination and click on the "Create" button.
6. You will be redirected to the Google Sheets authorization page. Sign in to your Google account if you haven't already.
7. Click on the "Allow" button to grant Airbyte access to your Google Sheets account.
8. Select the Google Sheets spreadsheet you want to use as your destination.
9. Choose the sheet you want to use as your destination table.
10. Map the fields from your source connector to the corresponding columns in your destination table.
11. Click on the "Save & Test" button to test your connection.
12. If the test is successful, click on the "Activate" button to start syncing your data to your Google Sheets destination.
Step 3: Set up a connection to sync your ClickHouse data to Google PubSub
Once you've successfully connected ClickHouse as a data source and Google PubSub as a destination in Airbyte, you can set up a data pipeline between them with the following steps:
- Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
- Choose your source: Select ClickHouse from the dropdown list of your configured sources.
- Select your destination: Choose Google PubSub from the dropdown list of your configured destinations.
- Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
- Select the data to sync: Choose the specific ClickHouse objects you want to import data from towards Google PubSub. You can sync all data or select specific tables and fields.
- Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
- Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
- Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from ClickHouse to Google PubSub according to your settings.
Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Google PubSub data warehouse is always up-to-date with your ClickHouse data.
Use Cases to transfer your ClickHouse data to Google PubSub
Integrating data from ClickHouse to Google PubSub provides several benefits. Here are a few use cases:
- Advanced Analytics: Google PubSub’s powerful data processing capabilities enable you to perform complex queries and data analysis on your ClickHouse data, extracting insights that wouldn't be possible within ClickHouse alone.
- Data Consolidation: If you're using multiple other sources along with ClickHouse, syncing to Google PubSub allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
- Historical Data Analysis: ClickHouse has limits on historical data. Syncing data to Google PubSub allows for long-term data retention and analysis of historical trends over time.
- Data Security and Compliance: Google PubSub provides robust data security features. Syncing ClickHouse data to Google PubSub ensures your data is secured and allows for advanced data governance and compliance management.
- Scalability: Google PubSub can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding ClickHouse data.
- Data Science and Machine Learning: By having ClickHouse data in Google PubSub, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
- Reporting and Visualization: While ClickHouse provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Google PubSub, providing more advanced business intelligence options. If you have a ClickHouse table that needs to be converted to a Google PubSub table, Airbyte can do that automatically.
Wrapping Up
To summarize, this tutorial has shown you how to:
- Configure a ClickHouse account as an Airbyte data source connector.
- Configure Google PubSub as a data destination connector.
- Create an Airbyte data pipeline that will automatically be moving data directly from ClickHouse to Google PubSub after you set a schedule
With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.
We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team.
Get started with Airbyte for free
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure.
Talk to sales
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter
