I'm just wondering what the general consensus is on indexing XML data to Solr in terms of parsing and mining the relevant data out of the file and putting them into Solr fields. Assume that this is the XML file and resulting Solr fields:
XML data: <mydoc id="1234"> <title>foo</title> <bar attr1="val1"/> <baz>garbage data</baz> </ mydoc > Solr Fields: Id=1234 Title=foo Bar=val1 I'd previously set this process up using XSLT and have since tested using XMLBeans, JAXB, etc. to get the relevant data. The speed at which this occurs, however, is not acceptable. 2800 objects take 11 minutes to parse and index into Solr. The big slowdown appears to be that I'm parsing the data with an XML parser. So, now I'm testing mining the data by opening the file as just a text file (using Groovy) and picking out relevant data using regular expression matching. I'm now able to parse (mine) the data and index the 2800 files in 72 seconds. So I'm wondering if the typical solution people use is to go with a non-XML solution. It seems to make sense considering the search index would only want to store (as much data) as possible and not rely on the incoming documents being xml compliant. Thanks in advance for any thoughts on this! -Kristian
