Search Results for "fixed width"

Omniparser is a native Golang ETL parser that ingests input data of various formats (CSV, txt, fixed length/width, XML, EDI/X12/EDIFACT, JSON, and custom formats) in streaming fashion and transforms data into desired JSON output based on a schema written in JSON.

The RecordEditor is a Data File editor for Flat Files (delimited and fixed field position). It supports Unix / PC / Legacy (e.g. Mainframe) file formats, both Text and binary files. The Editor uses a Record-Layout description to format the files. This is ideal for Fixed width (Text or Binary) files, Cobol Data Files, Mainframe files and complicated Csv files. Cobol Copybooks can be used to format Cobol Data files.

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.

XML Editor in PHP for editing simple XML files. New in version 0.3 - Languages (English / Dutch) - Help-texts while editing - fixed width of inputfields - A few bug-fixes This script works with simple XML files like: <?xml version="1.0"?> <countries> <country> <name>France</name> <capital>Paris</capital> <population>64768389</population> <currency>Euro</currency> </country> <country> <name>Greece</name> <capital>Athens</capital> <population>11000000</population> <currency>Euro</currency> </country> <country> <name>Netherlands</name> <capital>Amsterdam</capital> <population>16645000</population> <currency>Euro</currency> </country> </countries> etc...

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.

UPDATE: The project was moved to github (https://github.com/schober-ch/calc2booktab). The soruceforge page won't get any bugfixes, please use the github repo if you want to try this macro. -------------------------------------------------------------------------- A Python extension for OpenOffice/LibreOffice to convert selected cells to LaTeX-Code. Its similar to Calc2Latex, but typographic formatting is more advanced (numeric columns, dcolumn-package, booktab-package) Script is...

Fixed width data files are probably the most annoying data to import into database. This utility allows user to insert user-defined column separators into user-defided positions of flat file table given in fixed-width format. I am using this utility to import astronomical catalogs provided as flat tables at CDS ftp-server into postgresql; Build: $ make all [cc={icc|gcc}] Install: $ make install [prefix=/path/to/your/bin/directory] Example of usage: $ gzip -dc table.dat.gz | fw2csv --stops=4,10,11,20,30,36 -d '|' -header 1 | psql wsdb -c "copy mytable from stdin with csv delimiter '|'" For the list of available options call $ fw2csv --help

Omni is a Java package for reading and writing a variety of data file formats. Currently, Omni supports formats such as CSV, tab-delimited, pipe-delimited, and fixed-width files. There are future plans for more formats.

Java utility library for reading text based data files such as CSV, tab separated, and fixed width format files.

Java flat text parser. Parse any delimited or fixed width strings. Bind user friendly column names to text positions via XML. Easily parse strings, dates, doubles, integers, etc.