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From Darin McBeath <>
Subject Re: EDI (Electronic Data Interchange) parser on Spark
Date Tue, 13 Mar 2018 13:07:17 GMT
 I'm not familiar with EDI, but perhaps one option might be spark-xml-utils ( 
You could transform the XML to the XML format required by  the xml-to-json function and then
return the json.  Spark-xml-utils wraps the open source Saxon project and supports XPath,
XQuery, and XSLT.    Spark-xml-utils doesn't parallelize the parsing of an individual document,
but if you have your documents split across a cluster, the processing can be parallelized. 
We use this package extensively within our company to process millions of XML records.  If
you happen to be attending Spark summit in a few months, someone will be presenting on this
topic (

Below is a snippet for xquery.
let $retval :=     <map>       <string key="doi">{$doi}</string> 
     <string key="cid">{$cid}</string>       <string key="pii">{$pii}</string> 
     <string key="contentType">{$content-type}</string>       <string
key="srctitle">{$srctitle}</string>       <string key="documentType">{$document-type}</string> 
     <string key="documentSubtype">{$document-subtype}</string>       <string
key="publicationDate">{$publication-date}</string>       <string key="articleTitle">{$article-title}</string> 
     <string key="issn">{$issn}</string>       <string key="isbn">{$isbn}</string> 
          <string key="lang">{$lang}</string>        {$tables}   
 </map>  return xml-to-json($retval)

    On Tuesday, March 13, 2018, 8:52:42 AM EDT, Aakash Basu <>
 Hi Jörn,

Thanks for a quick revert. I already built a EDI to JSON parser from scratch using the 811
and 820 standard mapping document. It can run on any standard and for any type of EDI. But
my built is in native python and doesn't leverage Spark's parallel processing, which I want
to do for large and huge amount of EDI data.

Any pointers on that?


On Tue, Mar 13, 2018 at 3:44 PM, Jörn Franke <> wrote:

Maybe there are commercial ones. You could also some of the open source parser for xml.

However xml is very inefficient and you need to du a lot of tricks to make it run in parallel.
This also depends on type of edit message etc. sophisticated unit testing and performance
testing is key.

Nevertheless it is also not as difficult as I made it sound now.

> On 13. Mar 2018, at 10:36, Aakash Basu <> wrote:
> Hi,
> Did anyone built parallel and large scale X12 EDI parser to XML or JSON using Spark?
> Thanks,
> Aakash.

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