Hello,
I'm Glen Newton, LuSql author.
Thanks for the kind words about LuSql! :-)
I have just joined the Solr list, and while knowing about Solr, I have
not used it and have only limited technical knowledge of Solr.
That said, I am very interested in making LuSql useful to the Solr
community as well as teh broader Lucene community, so if any of you
can offer any feedback on how LuSql can changed to better support
Solr, I would appreciate it.
thanks,
Glen Newton
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From Erik Hatcher <[EMAIL PROTECTED]>
Subject Re: Software Announcement: LuSql: Database to Lucene indexing
Date Mon, 17 Nov 2008 20:12:35 GMT
Yeah, it'd work, though not only does the version of Lucene need to
match, but the field indexing/storage attributes need to jive as well
- and that is the trickier part of the equation.
But yeah, LuSQL looks slick!
Erik
On Nov 17, 2008, at 2:17 PM, Matthew Runo wrote:
> Hello -
>
> I wanted to forward this on, since I thought that people here might
> be able to use this to build indexes. So long as the lucene version
> in LuSQL matches the version in Solr, it would work fine for
> indexing - yea?
>
> Thanks for your time!
>
> Matthew Runo
> Software Engineer, Zappos.com
> [EMAIL PROTECTED] - 702-943-7833
>
> Begin forwarded message:
>
>> From: "Glen Newton" <[EMAIL PROTECTED]>
>> Date: November 17, 2008 4:32:18 AM PST
>> To: [EMAIL PROTECTED]
>> Subject: Software Announcement: LuSql: Database to Lucene indexing
>> Reply-To: [EMAIL PROTECTED]
>>
>> LuSql is a simple but powerful tool for building Lucene indexes from
>> relational databases. It is a command-line Java application for the
>> construction of a Lucene index from an arbitrary SQL query of a
>> JDBC-accessible SQL database. It allows a user to control a number of
>> parameters, including the SQL query to use, individual
>> indexing/storage/term-vector nature of fields, analyzer, stop word
>> list, and other tuning parameters. In its default mode it uses
>> threading to take advantage of multiple cores.
>>
>> LuSql can handle complex queries, allows for additional per record
>> sub-queries, and has a plug-in architecture for arbitrary Lucene
>> document manipulation. Its only dependencies are three Apache Commons
>> libraries, the Lucene core itself, and a JDBC driver.
>>
>> LuSql has been extensively tested, including a large 6+ million
>> full-text & metadata journal article document collection, producing
>> an
>> 86GB Lucene index in ~13 hours.
>>
>> http://lab.cisti-icist.nrc-cnrc.gc.ca/cistilabswiki/index.php/LuSql
>>
>> Glen Newton
>>
>> --
>>
>> -
>>
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