We are trying to figure out a way to search for all the files that contain multiple terms. For instance that reference the Orders file and then the status field. Searching for the status field alone does not work as orders have status, items have status, ...
There are two options that would fulfill the need we have for searching that I can come up with:
Perform a search and then be able to search only within the results of the first search.
Perform a search using the AND keyword (Orders AND status) or equivalent regular expression concept using (?=) syntax.
Visual studio code does not appear to support either of these methods. Any suggestions how to accomplish this? Thanks!
Related
I'm trying to implement Azure Search on Kentico 12. Following the article below.
https://docs.kentico.com/k12/configuring-kentico/setting-up-search-on-your-website/using-azure-search/integrating-azure-search-into-pages
However, I have multiple indexes defined on the smart search not just a single index code name that I can hard code and also cannot aford to hard code index fields. Is there any tutorial out there that I can follow?
It sounds as if you're referring to building an Azure Search web part, is this correct. If so, make a property in your web part which allows you to select the code name from a list in the database. Secondly, regarding field names, you should be using generic field names like DocumentName, NodeAliaspath, etc. Although if you have very specific search results that need to be displayed, simply put in a switch statement to get the field names based on a class name.
I have configured azure autocomplete API with all parameters. It gives results for normal keywords but when I tried with misspell keyword then it doesn't provide me expected results. Also, I have added UseFuzzyMatching=true while configuration.
eg. machine -> gives the expected results. If we try with magine then it provides 0 results from autocomplete API.
Please let me know if I'm missing any configurations to make Fuzzy workable.
I have data in my index that contains product description and comment fields 'Boormachine' or 'machine', also it provide me result in search API for this.
I have configured suggester while creation of index with the following source fields:
Comment, CommentSmall, Description,
ItemBrandDescription, Itemcode,
ItemGroupDescription,ItemSupplierCode,
SupplierCode
We have configured autocomplete API with this:
as I need to find for keyword suggestions not in group and brand name so excluded these two fields from search fields in configuration.
We can see fuzzy related configuration in autocomplete with UseFuzzyMatching flag. Please let me know if I am missing some configuration to work fuzzy in azure search autocomplete API.
For References click this Link
The behavior Azure Search is providing is correct.
Magine is a different term than machine, and probably it does not exist in your index, this is why you're getting 0 results. To enable Fuzzy Search you actually need to append the ~ symbol to the term, so your search will look like:
"search=magine~"
https://learn.microsoft.com/en-us/azure/search/query-lucene-syntax#bkmk_fuzzy
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 am using Marklogic's search:search() functions to handle searching within my application, and I have a use case where users need to be able to perform a text search that returns matches from an attribute on my document.
For example, using this document:
<document attr="foo attribute value">Some child content</document>
I want users to be able to perform a text search (not using constraints) for "foo", and to return my document based on the match within the attribute #attr. Is there some way to configure the query options to allow this?
Typing in attr:"foo" is not a workable solution, so using attribute range constraints won't help, and users still need to be able to search for other child content not in the attribute node. I'm thinking perhaps there is a way to add a cts:query OR'd into the search via the options, that allows this attribute to be searched?
Open to any and all other solutions.
Thanks!
Edit:
Some additional information, to help clarify:
I need to be able to find matches within the attribute, and elsewhere within the content. Using the example above, searches for "foo", "child content", or "foo child content" should all return my document as a result. This means that any query options that are AND'd with the search (like <additional-query>, which is intended to help constrain your search and not expand it) won't work. What I'm looking for is (likely) an additional query option that will be OR'd with the original search, so as to allow searching by child node content, attribute content, or a mix of the two.
In other words, I'd like MarkLogic to treat any attribute node content exactly the same as element text nodes, as far as searching is concerned.
Thanks!!
You could accomplish this search with a serialized element-attribute-word cts query in the additional-query options for the search API. The element attribute word query will use the universal index to match individual tokens within attributes.
In MarkLogic 9 You may be able to use the following to perform your search:
import module namespace search = "http://marklogic.com/appservices/search"
at "/MarkLogic/appservices/search/search.xqy";
search:search("",
<options xmlns="http://marklogic.com/appservices/search">
<additional-query>
<cts:element-attribute-word-query xmlns:cts="http://marklogic.com/cts">
<cts:element>document</cts:element>
<cts:attribute>attr</cts:attribute>
<cts:text>foo</cts:text>
</cts:element-attribute-word-query>
</additional-query>
</options>
)
MarkLogic has ways to parse query text and map a value to an attribute word or value query.
First, you can use cts:parse():
http://docs.marklogic.com/guide/search-dev/cts_query#id_71878
http://docs.marklogic.com/cts.parse
Second, you can use search:search() with constraints defined in an XML payload:
http://docs.marklogic.com/guide/search-dev/query-options#id_39116
http://docs.marklogic.com/guide/search-dev/appendixa#id_36346
I'd look into using the <default> option of <term>. For details see http://docs.marklogic.com/guide/search-dev/appendixa#id_31590
Alternatively, consider doing query expansion. The idea behind that is that a end user send a search string. You parse it using search:parse of cts:parse (as suggested by Erik), and instead of submitting that query as-is to MarkLogic, you process the cts:query tree, to look for terms you want to adjust, or expand. Typically used to automatically blend in synonyms, related terms, or translations, but could be used to copy individual terms, and automatically add queries on attributes for those.
HTH!
I am using the AdvancedDatabaseCrawler as a base for my search page. I have configured it so that I can search for what I want and it is very fast. The problem is that as soon as you want to do anything with the search results that requires accessing field values the performance goes through the roof.
The main search results part is fine as even if there are 1000 results returned from the search I am only showing 10 or 20 results per page which means I only have to retrieve 10 or 20 items. However in the sidebar I am listing out various filtering options with the number or results associated with each filtering option (eBay style). In order to retrieve these filter options I perform a relationship search based on the search results. Since the search results only contain SkinnyItems it has to call GetItem() on every single result to get the actual item in order to get the value that I'm filtering by. In other words it will call Database.GetItem(id) 1000 times! Obviously that is not terribly efficient.
Am I missing something here? Is there any way to configure Sitecore search to retrieve custom values from the search index? If I can search for the values in the index why can't I also retrieve them? If I can't, how else can I process the results without getting each individual item from the database?
Here is an idea of the functionality that I’m after: http://cameras.shop.ebay.com.au/Digital-Cameras-/31388/i.html
Klaus answered on SDN: use facetting with Apache Solr or similar.
http://sdn.sitecore.net/SDN5/Forum/ShowPost.aspx?PostID=35618
I've currently resolved this by defining dynamic fields for every field that I will need to filter by or return in the search result collection. That way I can achieve the facetted searching that is required without needing to grab field values from the database. I'm assuming that by adding the dynamic fields we are taking a performance hit when rebuilding the index. But I can live with that.
In the future we'll probably look at utilizing a product like Apache Solr.