August 2016 Summaries
2 posts from Gel Data
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asyncpg is an open-source Python client library specifically designed for PostgreSQL, built to leverage Python's asyncio and async/await features, making it particularly suitable for high-performance, low-latency database access. Unlike psycopg2, asyncpg supports the PostgreSQL binary I/O protocol, offering better handling of complex data types such as arrays and composites, and extensively uses prepared statements to optimize query performance. Its design, rooted in Cython with efficient buffer management, allows asyncpg to achieve significant speed improvements, being at least three times faster than psycopg2. The library has no dependencies, simplifying deployment, and provides pre-built binary wheels for major operating systems. Benchmarks demonstrate asyncpg's superior performance in query throughput and latency, highlighting its potential for building scalable systems in Python.
Aug 04, 2016
851 words in the original blog post.
asyncpg is a high-performance open-source Python client library for PostgreSQL, specifically designed for asyncio and Python 3.5+ async/await. It outperforms other common Python, NodeJS, and Go implementations. The main reasons behind its superior performance are direct implementation of the PostgreSQL protocol, binary I/O protocol support, prepared statement usage, and efficient data decoding pipeline implemented in Cython. asyncpg is also easy to deploy as it has zero dependencies and provides binary wheels for Linux, macOS, and Windows.
Aug 04, 2016
870 words in the original blog post.