Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
119 tokens/sec
GPT-4o
56 tokens/sec
Gemini 2.5 Pro Pro
43 tokens/sec
o3 Pro
6 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Language-integrated provenance (1607.04104v4)

Published 14 Jul 2016 in cs.PL and cs.DB

Abstract: Provenance, or information about the origin or derivation of data, is important for assessing the trustworthiness of data and identifying and correcting mistakes. Most prior implementations of data provenance have involved heavyweight modifications to database systems and little attention has been paid to how the provenance data can be used outside such a system. We present extensions to the Links programming language that build on its support for language-integrated query to support provenance queries by rewriting and normalizing monadic comprehensions and extending the type system to distinguish provenance metadata from normal data. The main contribution of this article is to show that the two most common forms of provenance can be implemented efficiently and used safely as a programming language feature with no changes to the database system.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (2)
  1. Stefan Fehrenbach (2 papers)
  2. James Cheney (62 papers)
Citations (17)

Summary

We haven't generated a summary for this paper yet.