I'm indexing several different fields in a document using Apache SOLR 3.6.
When I do a search for a term, SOLR returns all the occurrences of the term in each field. However, the same score for all the fields that the term occurred inside the text of the field does not change. For example if USC occurred in the title field, and in the contents field, they both get the same score.
Is there a way to index a document of different fields and have a weighted score based on the type of field within the document?
use dismax or edismax and set the qf (query field) parameter to something like this to give the title more weight than the body.
qf=title^3 body
Related
In facet.field, I have added "MerchantName" field, so I got result as below
"facet_fields":{
"MerchantName":[
"amazon",133281,
"factory",99566,
"club",99566,
"fashion",4905,
"swish",4905,
"store",1001,
"swank",1001,
"the",1001
]
}
In the above array, "club factory", "swish fashion" and "the swank store" are in a single field, but an array as you can see these are treated as a different word.
So how to apply facet query on the whole field which returns an array with whole field value?
The field MerchantName used for faceting. This field should be defined in schema.xml as a string (type="string") in order for the facet to use the whole text.
As you are using a text based field with field type as text_general, the value will be split into multiple tokens. The same is the case with MerchantName field.
Otherwise it will divide it according to the way it has been tokenized.
You can also add docValues="true" for a field MerchantName, then DocValues will automatically be used any time the field is used for sorting, faceting or function queries.
For faceting Solr could get use of DocValues - which is special way of recording field values internally that is more efficient for some purposes, such as sorting and faceting, than traditional indexing.
I would like to sort solr documents based on searched term. For example the search term is "stringABC"
Then the order of the results should be
stringABC,
stringABCxxxx,
xxxxstringABCxxxx
The solr document will contain lot of fileds ex: title, description, path, article No, Product code etc..
And the default field will contain more than one field ex: title, description and path.
So the solr doc will only be returned when the search term satisfied any field from the default field.
Use three fields - one with the exact string, one with a EdgeNgramTokenizer and one with an NgramTokenizer. You can then use qf=field1^10 field2^5 field3 to score hits in these fields according to how you want to prioritize them between each other.
Perhaps someone can enlighten me on how Solr matches terms. So I have a string attribute named assignedBy, and I do a query against this attribute with the value "Aaron Mason" (no quotes). Solr returns more matches than I anticipated because the term "Mason" also matches documents whose other fields contain the word "Mason" in it. By turning on debugging feature (from Solr admin), I see Solr breaks down the query into two attribute queries - "aaron" for assignedBy and "mason" for the catch-all text (see below). Is this the correct behavior? How do I ensure that it only finds matches against the attribute I specify? Thanks.
"debug":{
"rawquerystring":"assignedBy:Aaron Mason",
"querystring":"assignedBy:Aaron Mason",
"parsedquery":"assignedBy:aaron _text_:mason",
"parsedquery_toString":"assignedBy:aaron _text_:mason",
yes you are correct. when you q=assignedBy:Aaron Mason
after parsing the query, based on you query tokenizers in schema file, it looks like
assignedBy:aaron and _text_:mason.
if you don't specify field name queryterm is searched in default field (which is set in solrconfig.xml file) you can look for <str name="df">text</str> under /select handler. in your case it might be _text_.
So, Solr search for its index and retrieve combined results of all documents which has field assignedBy with term "Aaron" and all documents which has field _text_ with term "mason".
you might have used copyfield to copy some field values to text field. check for it.
You can use dismax/edismax where you can specify in which field all your terms to search for
example:
q=Aaron Mason&wt=json&debugQuery=on&defType=dismax&qf=assignedBy
This only finds matches against the field "assignedBy" specified in qf
I would order my search according some field.
For example:
- title
- description
- some field
I would order by title and description. I try QF but this not work in all cases because search only in the specified field. I would to specify a list of field but i don't want exclude other field
Sort by score is the default sort if you don't specify anything. Perhaps you are looking to boost matches against specific field. This can be done using eDisMax and specifying boosts in the list of fields.
For example fl=title^10 description^3 otherfield1 otherfield2
I am using SolrMeter to test Apache Solr search engine. The difference between Facet fields and Filter queries is not clear to me. SolrMeter tutorial lists this as an exapmle of Facet fields :
content
category
fileExtension
and this as an example of Filter queries :
category:animal
category:vegetable
categoty:vegetable price:[0 TO 10]
categoty:vegetable price:[10 TO *]
I am having a hard time wrapping my head around it. Could somebody explain by example? Can I use SolrMeter without specifying either facets or filters?
Facet fields are used to get statistics about the returned documents - specifically, for each value of that field, how many returned documents have that value for that field. So for example, if you have 10 products matching a query for "soft rug" if you facet on "origin," you might get 6 documents for "Oklahoma" and 4 for "Texas." The facet field query will give you the numbers 6 and 4.
Filter queries on the other hand are used to filter the returned results by adding another constraint. The thing to remember is that the query when used in filtering results doesn't affect the scoring or relevancy of the documents. So for example, you might search your index for a product, but you only want to return results constrained by a geographic area or something.
A facet is an field (type) of the document, so category is the field. As Ansari said, facets are used to get statistics and provide grouping capabilities. You could apply grouping on the category field to show everything vegetable as one group.
Edit: The parts about searching inside of a specific field are wrong. It will not search inside of the field only. It should be 'adding a constraint to the search' instead.
Performing a filter query of category:vegetable will search for vegetable in the category field and no other fields of the document. It is used to search just specific fields rather than every field. Sometimes you know that the term you want only is in one field so you can search just that one field.