Search Results for "java xml"

provide Java Record based IO routines for Fixed Width (including Text, Mainframe, Cobol and Binary) and delimited Flat files via a Record Layout (Cobol, CSV or XML). The source is now available at https://github.com/bmTas/JRecord Projects using JRecord include: * https://github.com/thospfuller/rcoboldi - Cobol File in R * https://github.com/tmalaska/CopybookInputFormat - Cobol files in Hadoop * https://github.com/gss2002/copybook_formatter * https://github.com/gss2002/ftp2hdfs has some code that allows ftping RDW files directly from the Mainframe into Hadoop/HDFS as a mapreduce job or standalone client.

Editor for both Csv files and Fixed width files. There is automatic attribute detection for single record Csv Files. You can edit Fixed Width file and Multi-Record Csv / Fixed width files using a Xml Schema. There is also limited editing available for Xml and PO files.

Simple Java delimited and fixed width file parser. Handles CSV, Excel CSV, Tab, Pipe delimiters, just to name a few. Maps column positions in the file to user friendly names via XML. See "FlatPack Feature List" under News for complete feature list.

Row-Bean is a CSV-Bean JAVA API . Row-Bean provides CSV reader an writer. More ever provides a mechanism to map csv file content to java beans and revers. For each use, a XML description must describe the wished mapping. Another possibility consists in use Annotations. Use under maven : <!-- row bean with annotations --> <dependencies> <dependency> <groupId>net.sf.csv-bean</groupId> <artifactId>row-bean-annotations</artifactId> <version>1.1.0</version> </dependency> </dependencies> <!...

Library for parsing of csv files. The project's focus is the flexibility to parser the csv files based at SAX and DOM methods on XML.

Java library for reading and writing of flat files. CSV, FLR (fixed length record) or mixed structures. Tree-style processing API. Adapters for SAX, Stax and XStream for transformation, data binding or serialization.

OSM XML to CSV conversion. POI only, polygons (and polylines, but not recommended) are approximated by centroid. Result is a 3-column table with lon, lat and value (for a particular key to be chosen beforehand).