I am currently using the 'search in view results' option in the view control to provide the data set for my view (the reason for this is that the data set to be displayed is fairly complex depending on the user - and I was not able to accomplish this using vector filtering).
The problem I have with it, is that the search is a FT search, and that it does not let you search where a field is an exact match on a string, but rather it does a search where the field contains your string.
Does anyone know of an method where I can search the view for exact data?
Thanks in advance.
A
If your database is not too big you could use a database.search. It uses an #Formula to get the documents. It might be by a magnitude slower than FT Search
Take a look at this code http://openntf.org/XSnippets.nsf/snippet.xsp?id=build-a-search-query I think it could help you do what you are looking for.
Based on what you want to do, a better option is to create a hidden view with the columns you need to match on. Then search on that view rather then an FTI search.
Related
Does anyone know how to ensure we can return normal result as well as accented result set via the azure search filter. For e.g the below filter query in Azure search returns a name called unicorn when i check for record with name unicorn.
var result= searchServiceClient.Documents.SearchAsync<myDto>("*",new SearchParameters
{
SearchFields = new List<string> {"Name"},
Filter = "Name eq 'unicorn'"
});
This is all good but what i want is i want to write a filter such that it returns record named unicorn as well as record named únicorn (please note the first accented character) provided that both record exist.
This can be achieved when searching for such name via the search query using language or Standard ASCII folding search analyzer as mentioned in this link. What i am struggling to find out is how can we implement the same with azure filters?
Please let me know if anyone has got any solutions around this.
Filters are applied on the non-analyzed representation of the data, so I don’t think there’s any way to do any type of linguistic analysis on filters. One way to work around this is to manually create a field which only do lowercasing + asciifloding (no tokenization) and then search lucene queries that look like this:
"normal search query terms" AND customFilterColumn:"filtérValuèWithÄccents"
Basically the document would both need to match the search terms in any field AND also match the filter term in the “customFilterColumn”. This may not be sufficient for your needs, but at least you understand the art of the possible.
Using filters it won't work unless you specify in advance all the possibilities:
for example:
$filter=name eq 'unicorn' or name eq 'únicorn'
You'd better work with a different analyzer that will change accents to it's root form. As another possibility, you can try fuzzy search:
search=unicorn~&highlight=Name
Can someone confirm the behaviour of the Smart search results webpart when using a Smart search filter on a particular field, documentation here, when the index, and the expected results, are compound of multiple page types?
In my scenario I have 2 page types, one is always a child of the other, my hypothetical scenario would be a Folder and File types as an example.
I've configured the index with Pages type and Standard analyzer to include all Folder and File types under the path /MyOS/% on the tree.
The search page, includes the Smart search results webpart and a Smart search filter, a checkbox for the File's field FileIsHidden.
What I'm trying to ascertain is the possibility for the results to include all folders that have a hidden field, as well as the files?
Client has a v8.2 license and now has a requirement similar to this scenario.
Thanks so much for any help in advance.
Firstly what i would do is download the latest version of LUKE, it's a lucene inspector that allows you to run queries, inspect the data, etc.
https://code.google.com/archive/p/luke/downloads
Your search indexes are in the App_Data/Modules/SmartSearch/[SearchName], now i am not sure if LUKE can query 2 indexes as the same time, however you can run hte same query against both and see if it's filtering out results one way or another.
If you are trying to query where a field must be a value, and the other page type does not have the field, it probably is filtered out. What you need to do is use the lucene syntax to say "(classname = 'cms.file' and fileonlyproperty = '' OR classname <> 'cms.file')" so to say.
You'll have to test, but say the class name is cms.file and cms.folder, and the property is FileIsHidden, i think the syntax would be:
+((FieldIsHidden:(true) and classname:('cms.file')) OR (NOT classname:('cms.file'))
But you'll have to test that.
i'm using Kentico Smart Search but im looking to build a reference table, basically to boost particular pages for particular phrases i.e.
if user searches for "XYZ" result = "www.examplesearchresult.com"
if user searches for "ABC" result = "www.secondexampleresult.com"
Any help would be greatly appreciated
Thanks
Ben
The other way how to achieve this would be in modifying the dataset of results. You will check the search term and if it will fit your rules, you will access the returned datset with results (\CMSModules\SmartSearch\Controls\SearchResults.ascx.cs in Search() method) and add column(s) with your desired items.
If you're searching for specific document types, you can extend the document type by adding another field and allowing it to be searchable. Then you can alter your lucene query to include that field as well.
Lets consider a product catalog with fields Category, Brand, BrandAndCategory And default search field.
If i search for "dell laptops" at first solr should search against Category field, if no results are found then against Brand field and then BrandAndCategory field and finally against the default search field.Right now i am making four different calls one by one to the solr from my Java Code to achieve this.It might affect the performance eventually.Is there any other way to achieve this from solr itself?.
Please help me on this issue.Thanks in Advance.
I believe you can use the DisMaxQueryParser for this.
If getting the best results at the top is enough and lower priority results towards the bottom of the result set are acceptable, then something like this may work for you:
q=dell laptops&qf=Category^100 Brand^50 BrandAndCategory^10 Default
Hi
I have a very specific need in my company for the system's search engine, and I can't seem to find a solution.
We have a SOLR index of items, all of them have the same fields, with one of the fields being "Type", (And ofcourse, "Title", "Text", and so on).
What I need is: I get an Item Type and a Query String, and I need to return a list of search suggestion with each also saying how meny items of the correct type will that suggested string return.
Something like, if the original string is "goo" I'll get
Goo 10
Google 52
Goolag 2
and so on.
now, How do I do it?
I don't want to re-query SOLR for each different suggestion, but if there is no other way, I just might.
Thanks in advance
you can try edge n-gram tokenization
http://search.lucidimagination.com/search/document/CDRG_ch05_5.5.6
You can try facets. Take a look at my more detailed description ('Autocompletion').
This was implemented at http://jetwick.com with Solr ... now using ElasticSearch but the Solr sources are still available and the idea is also the identical https://github.com/karussell/Jetwick
The SpellCheckComponent of Solr (that gives the suggestions) have extended results that can give the frequency of every suggestion in the index - http://wiki.apache.org/solr/SpellCheckComponent#Extended_Results.
However, the .Net component SolrNet, does not currently seem to support the extendedResults option: "All of the SpellCheckComponent parameters are supported, except for the extendedResults option" - http://code.google.com/p/solrnet/wiki/SpellChecking.
This is implemented using a facet field query with a Prefix set. You can test this using the xml handler like this:
http://localhost:8983/solr/select/?rows=0&facet=true&facet.field=type&f.type.prefix=goo