duckdb/duckdb

README EXCERPT

DuckDB DuckDB is a high-performance analytical database system. It is designed to be fast, reliable, portable, and easy to use. DuckDB provides a rich SQL dialect with support far beyond basic SQL. DuckDB supports arbitrary and nested correlated subqueries, window functions, collations, complex types (arrays, structs, maps), and several extensions designed to make SQL easier to use. DuckDB is available as a standalone CLI application and has clients for Python, R, Java, Wasm, etc., with deep integrations with packages such as pandas and dplyr. For more information on using DuckDB, please refer to the DuckDB documentation. Installation If you want to install DuckDB, please see our installation page for instructions. Data Import For CSV files and Parquet files, data import is as simple as referencing the file in the FROM clause: Refer to our Data Import section for more information. SQL Reference The documentation contains a SQL introduction and reference. Development For development, DuckDB requires CMake, Python 3 and a C++17 compliant compiler. In the root directory, run make to compile the sources. For development, use make debug to build a non-optimized debug version. You should…

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