How to quickly insert 10 billion rows into ClickHouse?

For rapid insertion of 10 billion rows into ClickHouse, it is important to use efficient data loading methods:

• Use batch insert with large data blocks to minimize overhead.
• Load data via the clickhouse-client utility with CSV or Native format, which is faster than inserting one record at a time.
• You can use the INSERT INTO ... SELECT function from external tables or files.
• Configure ClickHouse to accept data using streaming mechanisms (e.g., via Kafka).
• Optimize the table structure: use an appropriate engine (e.g., MergeTree), properly configure partitioning and indexes.

Example of fast loading via clickhouse-client:

clickhouse-client --query="INSERT INTO my_table FORMAT CSV" < big_data.csv

Also, ensure that the ClickHouse server has sufficient resources (CPU, RAM, disk) and is configured for high load.