Introducing pg_re2, fast, RE2-powered regular expressions in Postgres

ClickHouse emphasizes speed as a core feature, influencing its design and engineering, which is evident in its development of benchmarks such as ClickBench and PostgresBench. The introduction of pg_re2, a Postgres extension utilizing RE2 for regular expressions, enhances performance and compatibility with ClickHouse, offering significant speed improvements over native Postgres functions. RE2, based on finite automata rather than Postgres's backtracking POSIX regular expressions, provides more consistent execution times and high-level analyses. Benchmarks demonstrate that pg_re2 consistently outperforms Postgres in regex operations, with speed increases ranging from 1.1x to 8.6x. The extension also supports btree and GIN indexing, reducing the need for table scans. While RE2 differs from Postgres POSIX in terms of speed and syntax, it ensures compatibility with ClickHouse, facilitating seamless integration. This compatibility is crucial for analytical queries, particularly when migrating data to ClickHouse, as it maintains consistent performance and pushdown. ClickHouse Managed Postgres, available on ClickHouse Cloud, integrates these features, offering a unified data stack for scalable applications.

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