Hi Glen , You can post all the queries first on solr-dev and all the valid ones can be moved to JIRA
thanks, Noble On Wed, Nov 19, 2008 at 3:26 AM, Glen Newton <[EMAIL PROTECTED]> wrote: > Yes, I've found it. > > Do you want my comments here or in solr-dev or on jira? > > Glen > > 2008/11/18 Shalin Shekhar Mangar <[EMAIL PROTECTED]>: >> Hi Glen, >> >> There is an issue open for making DIH API friendly. Take a look and let us >> know what you think. >> >> https://issues.apache.org/jira/browse/SOLR-853 >> >> On Tue, Nov 18, 2008 at 8:26 PM, Glen Newton <[EMAIL PROTECTED]> wrote: >> >>> Erik, >>> >>> Right now there is no real abstraction like DIH in LuSql. But as >>> indicated in the TODO section of the documentation, I was planning on >>> implementing or straight borrowing DIH in the near future. >>> >>> I am assuming that Solr is all multi-threaded & as performant as it >>> can be. Is there a test SQL database that is used to test Solr, so I >>> might try to do some comparisons? >>> >>> Not being a Solr user, it is hard for me to know of any advantages of >>> LuSql over Solr. Hopefully some in the community can identify possible >>> overlaps / use cases. I will see what I can figure out. >>> >>> Thanks, >>> >>> -Glen >>> >>> 2008/11/18 Erik Hatcher <[EMAIL PROTECTED]>: >>> > Glen, >>> > >>> > The thing is, Solr has a database integration built-in with the new >>> > DataImportHandler. So I'm not sure how much interest Solr users would >>> have >>> > in LuSql by itself. >>> > >>> > Maybe there are LuSql features that DIH could borrow from? Or vice >>> versa? >>> > >>> > Erik >>> > >>> > >>> > On Nov 17, 2008, at 11:03 PM, Glen Newton wrote: >>> >> >>> >> 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 >>> >> >>> >> ------------------------------------------------------------------- >>> >> 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 >>> >>>> >>> >>>> -- >>> >>>> >>> >>>> - >>> >>>> >>> >>>> --------------------------------------------------------------------- >>> >>>> To unsubscribe, e-mail: [EMAIL PROTECTED] >>> >>>> For additional commands, e-mail: [EMAIL PROTECTED] >>> >>>> >>> >> >>> >> >>> >> >>> >> >>> >> -- >>> >> >>> >> - >>> > >>> > >>> >>> >>> >>> -- >>> >>> - >>> >> >> >> >> -- >> Regards, >> Shalin Shekhar Mangar. >> > > > > -- > > - > -- --Noble Paul
