Apache Large File Support

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Overview of new features in Apache HTTP Server 2.2 ...

    http://httpd.apache.org/docs/current/new_features_2_2.html
    Large File Support httpd is now built with support for files larger than 2GB on modern 32-bit Unix systems. Support for handling >2GB request bodies has also been added. Event MPM The event MPM uses a separate thread to handle Keep Alive requests and accepting connections. Keep Alive requests have traditionally required httpd to dedicate a ...

Apache POI - HSSF and XSSF Limitations

    http://poi.apache.org/components/spreadsheet/limitations.html
    The are currently no plans to support macros. However, reading and re-writing files containing macros will safely preserve the macros. Recent versions of Apache POI support extracting the macro data via VBAMacroExtractor and VBAMacroReader; Pivot Tables HSSF doesn't have support for reading or creating Pivot tables.

Apache POI - the Java API for Microsoft Documents

    https://poi.apache.org/
    Oct 20, 2019 · 20 October 2019 - POI 4.1.1 available. The Apache POI team is pleased to announce the release of 4.1.1. This release features performance improvements while writing large xlsx files, improved chart support, fixes in EMF/HSLF rendering.

Caching Guide - Apache HTTP Server Version 2.4

    https://httpd.apache.org/docs/2.4/caching.html
    The HTTP protocol contains built in support for an in-line caching mechanism described by section 13 of RFC2616, and the mod_cache module can be used to take advantage of this. Unlike a simple two state key/value cache where the content disappears completely when no longer fresh, an HTTP cache includes a mechanism to retain stale content, and to ask the origin server whether this stale content ...

Apache Hadoop

    https://hadoop.apache.org/
    Apache Hadoop. The Apacheā„¢ Hadoop® project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models.



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