I am looking for possibility to apply filter on group in Solr. It means that if at least one of documents in group isn't restricted by filter entire group should be displayed in search results. Moreover I need apply Solr filter on document to filter documents inside group. For example, I have following documents and group it by baseProductCode:
group test1
Test1VariantProduct1
restrictedCountries: US
type: ebook
baseProductCode: test1
Test1VariantProduct2
type: paperbook
baseProductCode: test1
In this example I need to apply filter on document by restrictedCountries field and filter on group by type. It means that I would like to filter document with restricted countries and it could be implemented using fq=-countries=US. From the other hand I want to hide group from search result by type if all group documents are hidden. As result I want following cases will be valid:
Our system shouldn't display this group in search results for US country and ebook type.
Our system should display this group in search results for any other country and ebook type.
Could you please advice is it possible to implement it using Solr features?
If you're using faceting to get your groups, they'll work with the set of documents after they've been filtered, so the groups won't be shown if there are no documents that matches from that group (i.e. you'd be faceting on baseProductCode).
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 trying to develop a filter system using dynamic fields in solr. These dynamic fields may vary from product to product and have a prefix attribute_filter_ to help me recognize the filter field. So given a search query, I want to get faceted results based on these dynamic fields.
For example, I have 3 products as docs in solr
{ID:1, attribute_filter_color:"white", attribute_filter_brand:"Dell"}
{ID:2, attribute_filter_color:"red", attribute_filter_category:"electronics"}
{ID:3, attribute_filter_size:"mobiles", attribute_filter_brand:"samsung"}
When my search query matches doc 1 and doc2, I want only filters color, brand and category and so facet fields are attribute_filter_color, attribute_filter_brand and attribute_filter_category.
When my search query matches doc 2 and doc3, I want filters color, size, category and brand and so facet fields are attribute_filter_color, attribute_filter_size, attribute_filter_category and attribute_filter_brand.
When my search query matches doc 1 and doc3, I want filters color, brand and size and so facet fields are attribute_filter_color,attribute_filter_brandand attribute_filter_size.
Also these filters can be ~300 total over 10^5 products. This creates another problem for making a GET URL with 300 facet fields which might cross the limit for GET URL.
This jira ticket shows how regex could have helped in this situation.
My solution would be to index the field names to an additional field, so that you have "facet_fields": ["attribute_filter_color","attribute_filter_brand"] for the documents containing the fields as well.
Generate a facet across your document result set, then use that result in a new query to generate facets across the fields you're interest in. It will be an extra query, but should scale decently. The part that will be expensive will be the larger number of different fields you're faceting on anyway - the facet_fields field will be quick to calculate and return.
I need to implement further functionality picture of it is attached below. I've already built an application based on Solr search.
In a few words about this functionality: drop down will contain similar search phrases within concrete category and number of items found.
In what way to make Solr collect such data and somehow receive it?
Yes, you can do that in Solr using Facets, which allow grouping results. The default behaviour of facets is to return the group name and the number of items found. You do that by adding these 2 items you your query string facet=true, facet.field=category.
An example query in your case will be
http://localhost:8983/solr/NAME_OF_YOUR_INDEX/select/?wt=json&indent=on&q=ipo&fl=category,name&facet=true&facet.field=category
Take a look at the tutorial for more details.
This is roughly equivalent to doing this in SQL:
SELECT category, COUNT(*) FROM items WHERE text LIKE "%ipo%" GROUP BY category;
I have two documents product and seller.
Product: {ID,NAME,DESCRIPTION}
Seller: {ID, PRODUCT_ID, SELLER_NAME, ATTRIBUTE_NAME, ATTRIBUTE_VALUE}
I need to join both of these documents and search all the fields in the seller and product?
So far I'm trying something like {!join from=product_id to=id}seller_name:"Sample-2" . This searches value "Sample-2" in seller_name field of seller document. How can i modify this to search all the fields of product and seller along with join?
Usually you'd implement this by either using copyField-directives to add all the terms into one field and search on that field, or by supplying a qf= parameter to give the fields you'd want to search (with *dismax).
If you're going to do a lot of these you might want to create a separate core and index pre-processed data into that, with copyField directives to create a catch all-field.
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.