3 items tagged “parquet”
2021
DuckDB-Wasm: Efficient Analytical SQL in the Browser (via) First SQLite, now DuckDB: options for running database engines in the browser using WebAssembly keep on growing. DuckDB means browsers now have a fast, intuitive mechanism for querying Parquet files too. This also supports the same HTTP Range header trick as the SQLite demo from a while back, meaning it can query large databases loaded over HTTP without downloading the whole file. # 29th October 2021, 3:25 pm
Querying Parquet using DuckDB (via) DuckDB is a relatively new SQLite-style database (released as an embeddable library) with a focus on analytical queries. This tutorial really made the benefits click for me: it ships with support for the Parquet columnar data format, and you can use it to execute SQL queries directly against Parquet files—e.g. “SELECT COUNT(*) FROM ’taxi_2019_04.parquet’”. Performance against large files is fantastic, and the whole thing can be installed just using “pip install duckdb”. I wonder if faceting-style group/count queries (pretty expensive with regular RDBMSs) could be sped up with this? # 25th June 2021, 10:40 pm
2018
Query Parquet files in SQLite. Colin Dellow built a SQLite virtual table extension that lets you query Parquet files directly using SQL. Parquet is interesting because it’s a columnar format that dramatically reduces the space needed to store tables with lots of duplicate column data—most CSV files, for example. Colin reports being able to shrink a 1291 MB CSV file from the Canadian census to an equivalent Parquet file weighing just 42MB (3% of the original)—then running a complex query against the data in just 60ms. I’d love to see someone get this extension working with Datasette. # 24th June 2018, 7:44 pm