Overview
ClickHouse is a fast open-source column-oriented database management system designed for online analytical processing (OLAP) with key characteristics:
- High performance: Exceptionally fast query execution for analytical workloads
- Column-oriented storage: Optimized for analytical queries on large datasets
- Linear scalability: Scales horizontally across distributed clusters
- Real-time data ingestion: Handles millions of inserts per second
- Efficient compression: Reduces storage requirements while maintaining speed
ClickHouse is ideal for analytics, time-series data, log processing, business intelligence, and high-volume data reporting applications.
Connecting
To connect to ClickHouse in DBCode, you’ll need:
- Open the DBCode Extension: Launch Visual Studio Code and open the DBCode extension.
- Add a New Connection: Click on the “Add Connection” icon.
- Complete connection form: Select ClickHouse as the database type and enter:
- Host/Server address
- Port (8123)
- Username and password
- Database name (optional, default is ‘default’)
- Connect: Click save to connect to your ClickHouse server.
- Start Managing Your Data: Explore databases, tables, and run queries.
For detailed instructions on connecting to databases, refer to the Connect article.
ClickHouse Features in DBCode
DBCode enhances your ClickHouse development experience with:
- SQL query editor: Write and execute ClickHouse SQL queries with syntax highlighting
- Data preview: Quickly view sample data from large tables
- Schema browsing: Navigate through databases and tables
- Query results visualization: View and export query results
By using ClickHouse with DBCode, you can efficiently develop and test analytical queries and data transformations directly within Visual Studio Code.
For more information about ClickHouse, check out ClickHouse.