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An Apache Spark framework for easy data processing, extraction as well as derivation for web archives and archival collections, developed at Internet Archive.

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ArchiveSpark

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ArchiveSpark is a framework / toolkit / library / API to facilitate efficient data processing, extraction as well as derivation for archival collections.

While originally developed for the use with web archives, which is still its main focus, ArchiveSpark can be used with any (archival) data collections through its modular architecture and customizable data specifications.

What can you do with it?

The main use case of ArchiveSpark is the efficient access to archival data with the goal to derive corpora by applying filters and tools in order to extract information from the original raw data, to be stored in a more accessible format, like JSON, while reflecting the data lineage of each derived value.

Examples of what you can do with it include: (see recipes for code examples)

  • Selecting a subset of your data and extracting desired properties (e.g., title, entities, ...)
  • Running a (temporal) data analysis on the filtered / extracted / derived data
  • Generating hyperlink or knowledge graphs for downstream applications
  • Processing archived webpages and extracting embedded resources
  • Downloading remote WARC/CDX data from the Internet Archive's Wayback Machine

New in 3.0

  • Namespace changed to org.archive.webservices.archivespark.
  • Extensive overhaul to be based on Sparkling, Internet Archive's internal data processing library, which is now partially included under org.archive.webservices.sparkling.
  • ArchiveSpark will evolve as Sparkling evolves and automatically benefit from new features and bugfixes.
  • Streamlined with all unused / unnecessary / academic / experimental features being removed.
  • Refactored / cleaned up / simplified ArchiveSpark's public APIs.

For more information and instructions, please read the docs:

ArchiveSpark Documentation

License

The MIT License (MIT)

Copyright (c) 2015-2019 Helge Holzmann (Internet Archive) <[email protected]>

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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An Apache Spark framework for easy data processing, extraction as well as derivation for web archives and archival collections, developed at Internet Archive.

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