I have a field country. I need to do a search in which I need to show the search result of a country or some countries last in the search result for eg. for country code BD. What query should I use to get the above result.
The key is to do the opposite - instead of trying to move the documents matching the country further down, boost everything that doesn't match the country up:
q=(*:* -country:BD)^999
This can also be applied as a boost query (bq) with the edismax handler.
Related
We need to implement drill down search like Amazon.
If any supplier is selected then,
currently it disabled rest of suppliers as solr facet only returns that selected filter.
query: supplier:supplierId
Though above query retuns multiple Screen Color/Screen Size, but on further selection, only the selected element is returned per filter section.
Any help to make it work like Amazon.com 's refined filtering will be much appreciated.
To provide multi-select faceting, you need to tag the filter involved so that you can exclude it when faceting on the corresponding field. This can be achieved using both the tag and ex local parameters.
Solr Ref Guide - Tagging and Excluding Filters :
To implement a multi-select facet for a given field, a GUI may want to still
display the other field values and their associated counts, as if
the corresponding filter constraint had not yet been applied.
To return counts for the field values that are currently not selected,
tag filters that directly constrain the field, and exclude those
filters when faceting on it.
For example, for a query that would originally look like :
q=mainquery&fq=supplier:supplierId&facet=true&facet.field=supplier
You would do the following :
q=mainquery&fq={!tag=sup}supplier:supplierId&facet=true&facet.field={!ex=sup}supplier
I am using Solr (with pySolr) to search products in my database, returning products, facets and facet.pivots:
result = solr.search(query_s, **{
'rows': '24',
'sort': formatted_sort,
'facet': 'on',
'facet.limit': '-1',
'facet.mincount': '1',
'facet.field': ['gender', 'material'],
'facet.pivot': 'brand,series',
'fq': '-in_stock:(0 OR 99 OR 100 OR 101)'
})
The query_s selects specific fields, for example: brand:Target AND gender:Men's.
I would like to combine the above query with a DisMax query which will allow me to combine the above query with a full text search over specified fields. I found an article which demonstrates nested queries. I have tried to implement something like this:
q: "gender:* AND _query_:"{!edismax qf=brand series}Summer""
For some reason 'Target' will return results for Target brand shirts, but only with correct capitalization. 'Summer' which is a series of Target, won't return any results. Why am I not seeing a list of docs ordered by relevancy?
Am I overcomplicating things by using Dismax altogether?
The dismax parsers are useful for making sense of more "natural" queries, i.e. queries where the user is used to just type what they're looking for, and how most search engines work.
In your case it sounds like brand:Target AND gender:Men's are filters for which documents should be shown, while the query is the part that the user has typed. Usually you'll want to have the filters in fq as they don't affect score (i.e. they're exact values matching a field value), and the query in q.
I assume that Summer is what the user would have typed into your search box, which would give you:
q=Summer&defType=edismax&qf=series
But this assumes that the series field is defined as a text field that has an analyzer attached, so that the values are lowercased and split appropriately.
If you also have a description field you'd like to search, you can do:
q=Summer&defType=edismax&qf=series^20 description
.. which would search for Summer in both the series and description fields, but give 20 times more weight to a hit in the series field. This is a good way to naturally boost documents that match more exact data in your documents. If you also include the brand field, you'd be able to let your users search for "target summer" and similar queries.
I need to a faceted search on a particular column and drill down within its results.
Here is my schema.
State ZipCode PersonName
CA 12345 Tom
CA 12345 Mike
CA 23458 John
CA 23458 Lucy
I tried writing a facet query
http://localhost:8983/solr/query?facet=on&facet.field=State and it facets only based on State.
How do I include Zip code within it, so that I can drill down based on State & Zip code
You can do this two ways, depending on what you want.
If you just want to include a ZipCode facet as well, in addition to the State facet, add another facet.field parameter: &facet.field=ZipCode. That way you'll get facets for both fields in your response. The facets will be modified depending on your query results and filter queries, so if the user selects a State first, the fq= will make the ZipCode facet only return facet values within that state. You might also want to look at Tagging and excluding filters, if you want to show a count of all States, regardless of one being chosen at the moment.
Another option is to use facet.pivot to get a two-dimensional table with facet values; for each state, get the count of the zipcodes in that state. &facet.pivot=State,ZipCode.
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.
Is it possible to boost fields that appear in filter queries (fq=) in Solr?
I have a faceted query that has a tagged filter query something like this:
...&q=*:*&fq={!tag:X}brand:(+"4911")+OR+body:(abc)&facet.field={!ex:X}brand&..
(I facet on brand and the facet is set to ignore the filter query tagged X, so I need to use a filter query.)
I would like to make matches on the brand field score higher than matches on body field in the filter query.
The fields brand and body are multivalued.
I've tried adding bf=/bq= arguments, and I can get brand matches to score higher if I change the filter query to be the main 'q=' query, but I don't seem to be able to influence the score of anything in the filter query. I think I maybe going about it in the wrong way..
Thanks.
Solr "fq"'s do not affect score -- see the wiki. So, you should add your queries to "q" that you actually want to boost. If need be, you can always duplicate a query restriction in both "q" and "fq", as "fq" only acts as a restriction on the results set.