Apache Large Files Support

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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.

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.

Large Data Files and Large Data Objects (64-bit Support ...

    https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=75966202
    May 14, 2018 · This page is about the various aspects of Daffodil that must change in order to implement large objects and large input data. There are several related problems. For parsing: Support for input streams or files that are larger than any particular fixed limit. (e.g. larger than the largest Java/Scala Array[Byte], or larger than 4Gbytes)

IBM HTTP Server for i - Large File Support Overview

    https://www.ibm.com/developerworks/community/wikis/home?lang=en&_escaped_fragment_=/wiki/IBM%2520i%2520Technology%2520Updates/page/IBM%2520HTTP%2520Server%2520for%2520i%2520-%2520Large%2520File%2520Support%2520Overview
    Due to the importance to allow large files to be handled by the IBM i HTTP Server we felt this change could not wait for the next new IBM i release. For many this new feature will have no impact. The change to support large files effects Apache plun-in modules.

Apache Hadoop 2.7.2 – HDFS Architecture

    http://hadoop.apache.org/docs/r2.7.2/hadoop-project-dist/hadoop-hdfs/HdfsDesign.html
    Applications that run on HDFS have large data sets. A typical file in HDFS is gigabytes to terabytes in size. Thus, HDFS is tuned to support large files. It should provide high aggregate data bandwidth and scale to hundreds of nodes in a single cluster. It should support tens of millions of files in …

java - How to load a large xlsx file with Apache POI ...

    https://stackoverflow.com/questions/11891851/how-to-load-a-large-xlsx-file-with-apache-poi
    How to load a large xlsx file with Apache POI? Ask Question Asked 7 years, ... It does not support .xls files when using the library. Do you have any suggestions? ... how to read large xlsm file in java using apache poi. 17. java.lang.OutOfMemoryError: Java heap space while reading excel with Apache POI ...

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 ...

Chunked File Upload Support - Apache Sling - Apache ...

    https://cwiki.apache.org/confluence/display/SLING/Chunked+File+Upload+Support
    Large file upload - With high speed internet connections, advent of cloud and HD going mainstream, Sling support large files (> 2GB) upload. 2. Fault tolerant uploads - Sling provides capability to resume upload from failure point.

QuerySurge and Apache Drill - Parquet Files – Customer Support

    https://querysurge.zendesk.com/hc/en-us/articles/115004726546-QuerySurge-and-Apache-Drill-Parquet-Files
    This article describes the use of QuerySurge with Drill for dealing with Apache Parquet files. Because Drill offers strong performance especially with large files, for QuerySurge data testing and verification that involves big files, Drill should be considered.



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