Whenever i query with q=: it shows all the documents but when i query with q=programmer 0 docs found.(contents is the default search field)
my schema has: id(unique),author,title,contents fields
Also query works fine for:
q=author:"Value" or q=title:"my book" etc, only for contents field no results.
Also when i query using spell checker(/spell?q=programmer) output shows spelling suggestions for this word,when 'programmer' is the right word and present in many documents.
I referred the example docs for configurations.
All of a sudden i am getting this,initially it worked fine.
I guess there some problem only in the contents field,but cannot figure it out.
Is it because indexes are not created properly for contents field?
(I am using solr 4.2 on Windows 7 with tomcat as webserver)
Please help.Thanks a lot in advance.
Are you sure you set the default search field? The reason you have this problem might be because you didn't set the <defaultSearchField> field in your schema.xml file. This is why "q=author:value" works while q=WHATEVER doesn't.
The Is used by Solr when parsing queries to
identify which field name should be searched in queries where an
explicit field name has not been used.
But also consider this:
The is used by Solr when parsing queries to
identify which field name should be searched in queries where an
explicit field name has not been used. It is preferable to not use or
rely on this setting; instead the request handler or query LocalParams
for a search should specify the default field(s) to search on. This
setting here can be omitted and it is being considered for
deprecation.
Do you have any data in your instance. try q=*:* and see what it returns. "for" is a stop word, may be it was filtered out. Look for something else as value to test.
Related
I am trying to do a solr dismax query over multiple fields, and am a little confused with the syntax.
My core contains a whole load of podcast episodes. The fields in the index are EPISODE_ID, EPISODE_TITLE, EPISODE_DESC, and EPISODE_KEYWORDS.
Now, when I do a query I would like to search for the query term in the EPISODE_TITLE, EPISODE_DESC, and EPISODE_KEYWORDS fields, with different boosts for the different fields.
So when I search for 'jedi', the query I've built looks like this:
http://localhost:8983/solr/episode_core/select?
&defType=dismax&q=jedi&fl=EPISODE_ID,EPISODE_TITLE,EPISODE_DESC,EPISODE_KEYWORDS
&qf=EPISODE_TITLE^3.0+EPISODE_DESC^2.0+EPISODE_KEYWORDS
However, this doesn't seem to work - it returns zero records.
When I put a default field like below, it now works, but this is kind of crap because it means I'm not getting results from searching all of the 3 fields:
http://localhost:8983/solr/episode_core/select?&df=EPISODE_DESC
&defType=dismax&q=jedi&fl=EPISODE_ID,EPISODE_TITLE,EPISODE_DESC,EPISODE_KEYWORDS
&qf=EPISODE_TITLE^3.0+EPISODE_DESC^2.0+EPISODE_KEYWORDS
Is there something I am missing here? I thought that you could search over multiple fields, and I thought that the 'qf' parameter would mean you didn't need to supply the default field parameter?
All help much appreciated...
Your idea is correct. If you've defined qf (query fields) for Dismax, there shouldn't be any need to specify a df (default field).
Can you be more specific about what isn't working?
Also, read up on Configuration Invariants in solrconfig.xml as it is possible your configuration could be sending some different parameters than you've specified in the URL.
(E.g. if you're seeing a specific error message asking you to provide a df)
I am trying to query Solr with following requirement:
_ I would like to get all documents which not have a particular field
-exclusivity:[* TO *]
I would like to get all document which have this field and got the specific value
exclusivity:(None)
so when I am trying to query Solr 4 with:
fq=(-exclusivity:[* TO *]) OR exclusivity:(None)
I have only got results if the field exists in document and the value is None but results not contain results from first query !!
I cannot understand why it is not working
To explain your results, the query (-exclusivity:[* TO *]) will always get no results, because you haven't specified any result to retrieve. By default, Lucene doesn't retrieve any results, unless you tell it to get them. exclusivity:(None) isn't a limitation placed on the full result set, it is the key used to find the documents to retrieve. This differs from a database, which by default returns all records in a table, and allows you to limit the set.
(-exclusivity:[* TO *]) only specifies what NOT to get, but doesn't tell it to GET anything at all.
Solr has logic to handle Pure negative queries (I believe, in much the same way as below, by implicitly retrieving all documents first), but from what I gather, only as the top level query, and it does not handle queries like term1 OR -term2 documented here.
I believe with solr you should be able to use the query *:* to get all docs (though that would not be available in raw lucene), so you could use the query:
(*:* -exclusivity:[* TO *]) exclusivity:(None)
which would mean, get (all docs except those with a value in exclusivity) or docs where exclusivity = "None"
I have founded answer to this problem. I have made bad assumption how "-" works in solr.I though that
-exclusivity:[* TO *]
add everything without exclusivity field to the data set but it is not the case. The '-' could only exclude things from data set. BTW femtoRgon you are right but I am using it as fq (filter query) not as a master query I have forgotten to mention that.
So the solution is like
-exclusivity:([* TO *] AND -(None))
and full query looks like
/?q=*:*&fq=-exclusivity:([* TO *] AND -(None))
so that means I will get everything does not have field exclusivity or has this field and it is populated with value None.
I implemented Solr SpellCheck Component based on the document from http://wiki.apache.org/solr/SpellCheckComponent , it works good. But i am trying to filter the spell check result based on some other filter. Consider the following schema
product_name
product_text
product_category
product_spell -> copy string from product_name and product_text . And tokenized using white space analyzer
For the above schema, i am trying to filter the spell check result based on provided category. I tried querying like http://127.0.0.1:8080/solr/colr1/myspellcheck/?q=product_category:160%20appl&spellcheck=true&spellcheck.extendedResults=true&spellcheck.collate=true . Spellcheck results does not consider the product_category:160
Is it because the dictionary was build for all the categories? If so is it a good idea to create the dictionary for every category?
Is it not possible to have another filter condition in spellcheck component?
I am using solr 3.5
I previously understood from the SOLR-2010 issue that filtering through the fq parameter should be possible using collation, but it isn't, I think I misunderstood.
In fact, the SpellCheckComponent has most likely a separate index, except for the DirectoSolrSpellChecker implementation. It means the field you select is indexed in a different index, which contains only the information about that specific field you chose to make spelling corrections.
If you're curious, you can also have a look how that additional index looks like using luke, since it's of course a lucene index. Unfortunately filtering using other fields isn't an option there, simply because there is only one field there, the one you use to make spelling corrections.
I have a field in my solr schema as "Post Date"(exclude the quotes). when i fire a query with "fl" (field list) parameter in order to view only Post Date of search results, since this field contains a space I am not getting anything in the docs responses. I tried using +, %20 but still i get no results. Please help.
I would like to inform that i have found a solution to this. I tried experimenting and hence came up with a solution on putting \+ as the substitute for white space in the query. Hence the query should be Post\+Date:[ranges]
I couldnt aford to change my schema as many teams are depending on it and we are upgrading our system to a new search engine.
You can specify (what Solr deems crazy) fields by wrapping them like this:
field(Post Date)
This actually changes the returned results fieldname too so you'll get back something like:
"field(Post Date)" : "2010-01-01"
And not just the name as you might imagine.
As a possible workaround, you might be able to use a wild card to achieve your results. Using the solr wiki http://wiki.apache.org/solr/CommonQueryParameters#glob you may be able to specify fl=Post*Date which would possibly get around your problem. I have not verified this but it might work.
Update: This doesn't seem to work on either version of solr I tried (1.4.0 and 3.6.1). Looks like this may have been discussed at http://wiki.apache.org/solr/FieldAliasesAndGlobsInParams but it does not appear to be implemented.
Solr newbie here.
I have created a Solr index and write a whole bunch of docs into it. I can see
from the Solr admin page that the docs exist and the schema is fine as well.
But when I perform a search using a test keyword I do not get any results back.
On entering * : *
into the query (in Solr admin page) I get all the results.
However, when I enter any other query (e.g. a term or phrase) I get no results.
I have verified that the field being queried is Indexed and contains the values I am searching for.
So I am confused what I am doing wrong.
Probably you don't have a <defaultSearchField> correctly set up. See this question.
Another possibility: your field is of type string instead of text. String fields, in contrast to text fields, are not analyzed, but stored and indexed verbatim.
I had the same issue with a new setup of Solr 8. The accepted answer is not valid anymore, because the <defaultSearchField> configuration will be deprecated.
As I found no answer to why Solr does not return results from any fields despite being indexed, I consulted the query documentation. What I found is the DisMax query parser:
The DisMax query parser is designed to process simple phrases (without complex syntax) entered by users and to search for individual terms across several fields using different weighting (boosts) based on the significance of each field. Additional options enable users to influence the score based on rules specific to each use case (independent of user input).
In contrast, the default Lucene parser only speaks about searching one field. So I gave DisMax a try and it worked very well!
Query example:
http://localhost:8983/solr/techproducts/select?defType=dismax&q=video
You can also specify which fields to search exactly to prevent unwanted side effects. Multiple fields are separated by spaces which translate to + in URLs:
http://localhost:8983/solr/techproducts/select?defType=dismax&q=video&qf=features+text
Last but not least, give the fields a weight:
http://localhost:8983/solr/techproducts/select?defType=dismax&q=video&qf=features^20.0+text^0.3
If you are using pysolr like I do, you can add those parameters to your search request like this:
results = solr.search('search term', **{
'defType': 'dismax',
'qf': 'features text'
})
In my case the problem was the format of the query. It seems that my setup, by default, was looking and an exact match to the entire value of the field. So, in order to get results if I was searching for the sit I had to query *sit*, i.e. use wildcards to get the expected result.
With solr 4, I had to solve this as per Mauricio's answer by defining type="text_en" to the field.
With solr 6, use text_general.