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🚀ClickHouse Query Speeds Up by 5x with New Partitioning

ClickHouse queries now run 5x faster on the first screen

TL;DR

A new partitioning strategy in ClickHouse cuts query time by 5x, making the first screen load faster. Originally, queries took over a minute to process 1.96 billion rows.

ClickHouse performance has been boosted by a new partitioning strategy, reducing query time by nearly 5x. This improvement is crucial for the first screen load in applications, where the most expensive query processes 1.96 billion rows and 198.69 GB of data. The new strategy, PARTITION BY (client_customer_id % 36), ensures that insert performance is under control and FINAL parallelism is maintained. The query now reads fewer rows and uses less memory, making the application more responsive.

ClickHouse Query Speeds Up by 5x with New Partitioning — jordivillar.com

Key Points

1

The most expensive query processes 1.96 billion rows and 198.69 GB of data.

2

The new partitioning strategy PARTITION BY (client_customer_id % 36) keeps insert performance under control.

3

Query latency improved by ~5x after removing an expensive join and precomputing intermediate values.

4

Memory usage dropped almost 13x after removing the join, reducing load times.

5

Reducing the number of columns from 9 to 1 saved 1.5GB of reads, further speeding up queries.

Why It Matters

If you're running ClickHouse for real-time analytics, this new partitioning strategy can cut query times by 5x. Originally, queries took over a minute to process 1.96 billion rows. Now, with fewer joins and optimized data storage, the first screen load is significantly faster. This is a must for teams looking to improve user experience and reduce server costs.

ClickHousepartitioningquery-optimizationdatabase-performancereal-time-analytics

Frequently Asked Questions

Why does this matter?

If you're running ClickHouse for real-time analytics, this new partitioning strategy can cut query times by 5x. Originally, queries took over a minute to process 1.96 billion rows. Now, with fewer joins and optimized data storage, the first screen load is significantly faster. This is a must for teams looking to improve user experience and reduce server costs.

What happened?

A new partitioning strategy in ClickHouse cuts query time by 5x, making the first screen load faster. Originally, queries took over a minute to process 1.96 billion rows.

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