Hello joe_coder, Are you using the default example docs in your queries?
If so, then I see that the word "ipod" appears in a field called "name". By default, the default search field (defined in solrconfig.xml) is the field called "text". This means that when you submit a query without specifying which field to look for (using the field:query) notation, Solr automatically assumes that you are looking in the field called "text". If you change your query to q=name:ipod, you should get the results back. One way to prevent this is to change your default search field to something else. Alternatively, if you want to search on multiple fields, you can copy all those fields to the "text" field and go from there. This can be useful if for example you had a book library to search through. You may need to search on title, short summary, description etc simultaneously. You can copy all those things to the text field and then search on the text field, which contains all the information that you wanted to search on. joe_coder wrote: > > Thanks ahammad for the quick reply. > > As suggested, I am trying out multi core way of implementing the search. I > am trying out the multicore example and getting stuck at an issue. Here is > what I did and the issue I am facing > > 1) Downloaded 1.4 and started the multicore example using java > -Dsolr.solr.home=multicore -jar start.jar > > 2) There were 2 files present under example/multicore/exampledocs/ , which > I > added to 2 cores respectively. ( Totally 3 docs are present in those 2 > files > and all have the word 'ipod' in it ) > > 3) When I query using > http://localhost:8983/solr/core0/select?shards=localhost:8983/solr/core0,localhost:8983/solr/core1&q=*:*I > get all the 3 results. > > But when I query using > http://localhost:8983/solr/core0/select?shards=localhost:8983/solr/core0,localhost:8983/solr/core1&q= > *ipod* , I get no results :( > > What could be the issue ? > > Thanks! > > > On Fri, Jul 17, 2009 at 7:20 PM, ahammad <ahmed.ham...@gmail.com> wrote: > >> >> Hello, >> >> I'm not sure what the best way is to do this, but I have done something >> identical. >> >> I have the same requirements, ie several datasources. I also used SolrJ >> and >> jsp for this. The way I ended up doing it was to create a multi core >> environment, one core per datasource. When I do a query across several >> datasources, I use shards. Solr automatically returns a "hybrid" result >> set >> that way, sorted by solr's default scoring. >> >> Faceting comes in the picture when you want to show the number of >> documents >> per datasource and have the ability to narrow down the result set. The >> way >> I >> did it was to add a field called "dataSource" to all the documents, and >> injected them with a default value of the data source name (in your case, >> D1, D2 ...). You can do this by adding this in the schema: >> >> <field name="dataSource" type="string" indexed="true" stored="true" >> required="true" default="D1"/> >> >> When you perform a query across multiple datasources, you will use >> shards. >> Here is an example: >> >> >> http://localhost:8080/solr/core1/select?shards=localhost:8080/solr/core1,localhost:8080/solr/core2&q=some >> query >> >> That will search on both cores 1 and 2. >> >> To facet on the datasource in order to be able to categorize the result >> set, >> you can simply add this snippet to the query: >> >> &facet=on&facet.field=dataSource >> >> This will return the datasources that are defined with their number of >> results for the query. >> >> Making the facet results clickable in order to narrow down the results >> can >> be achieved by adding a filter to the query and filtering to a specific >> dataSource. I actually ended uo creating a fairly intuitive front-end for >> my >> system with faceting, filtering, paging etc all using jsp and SolrJ. >> SolrJ >> is powerful enough to handle all of the backend processing. >> >> Good luck! >> >> >> >> >> >> >> joe_coder wrote: >> > >> > I missed adding some size related information in the query above. >> > >> > D1 and D2 would have close to 1 million records each >> > D3 would have ~10 million records. >> > >> > Thanks! >> > >> >> -- >> View this message in context: >> http://www.nabble.com/Solr-MultiCore-query-tp24534383p24534793.html >> Sent from the Solr - User mailing list archive at Nabble.com. >> >> > > -- View this message in context: http://www.nabble.com/Solr-MultiCore-query-tp24534383p24539215.html Sent from the Solr - User mailing list archive at Nabble.com.
