I'm using Azure search and in my indexed database table I have a row with the text 'Government Grants'.
When i search 'Grant' it returns no results, If I search 'Grants' it returns results
I have the same issue with 'Sales' and 'Sale'
How can I configure azure search so that it matches singular and plural words?
Please check that corresponding field in your search index is set to be searchable, and that a natural language analyzer (such as "en.lucene" or "en.microsoft") is selected as the analyzer for that field. The default analyzer, "standard", doesn't handle plural forms or any other word inflections, because it doesn't do any linguistic processing.
HTH,
Eugene
Related
I am working with SQL Server full text search. The issue is SQL Server is returning the wrong records.
For example: I am searching for was word in article's table column striptitle
SELECT
TitleStripped
FROM
[pastic_com].[dbo].[Psa_Articles]
WHERE
FREETEXT (TitleStripped, 'was')
With this query, I found 8 records; for reference two of them are pasted below:
Seasonal dynamics and relative abundance of AM fungi in rhizosphere of rice (Oryza sativa L. cv. Basmati supper).
Seasonal dynamics of AM fungi in sugarcane (Saccharum officinarum L.CV.SPF-213) in relation to red rot (Colletotrichum falcatum) disease from Punjab, Pakistan.
You will notice title column does not contain "was" word .
For more reference here's a screenshot:
[1]: https://i.stack.imgur.com/w0gdI.png
The full text search depends on thesaurus files and stoplist objects. Please double check your configuration for entries related to was.
Also, note the difference between FREETEXT and CONTAINS. If you look for exact matches of the word was then try CONTAINS instead of FREETEXT for the reason below.
Snippet from the documentation for FREETEXT, you probably want to avoid these actions.
Is a predicate used in the Transact-SQL WHERE clause of a Transact-SQL
SELECT statement to perform a SQL Server full-text search on full-text
indexed columns containing character-based data types. This predicate
searches for values that match the meaning and not just the exact
wording of the words in the search condition. When FREETEXT is used,
the full-text query engine internally performs the following actions
on the freetext_string, assigns each term a weight, and then finds the
matches:
Separates the string into individual words based on word boundaries
(word-breaking).
Generates inflectional forms of the words (stemming).
Identifies a list of expansions or replacements for the terms based on
matches in the thesaurus.
I have a field with definition:
"replace-field": {
"name":"search_words",
"type":"lowercase",
"stored":true,
"indexed": true,
"multiValued": true
}
that contains sentences as array (thus multiValued: true):
"id":500
"search_words":["How much oil should you pour into the engine",
"How important is engine oil?]
How should I create a query thatwould return that document (with id = 500) when user inputs phrase "engine oil"?
With single term queries I can user *engine* and it would find that document becasue engine is in the middle of the sentence but I can't find a way to be able to seearch for phrases in sentences. Is it even possible using solr?
Solr supports phrase search, and is what it was actually designed for. Wildcard searches are not really the way you should use Solr by default - the field type should tell Solr how to process the text in the field to make you get hits when querying it in a regular way.
In this case the standard text_en would probably work fine, or a field definition with a Standard Tokenizer and a lowercasefilter (and possibly a WordDelimiterGraphFilter to get rid of special characters).
The query would then be search_words:"engine oil".
I'm putting together a query to index medicines. A user should be able to enter their search term into a single search box. Their search term might be either a brand name for a drug, a generic name (the underlying compound on which all brands are based) or an indication and they should be returned a list of medicines that correspond to their search. I'd like to have a category facet for the type - either indication, brand or generic.
To have a category facet, my understanding is that I'd have to send my data through as one row per search term where that search term might be a brand, indication or a generic, rather than one row per brand with columns for generic list and indication. Is this correct or is there another way to get at what I'm wanting to do?
I hope I understand your ask here. From the screenshot you provided, I would assume what you would want to do is make the field "MedicineInformationType" a Facetable field in your Azure Search index and make the field "SearchTerm", "Product", "GenericList", and "ActionList" all Searchable fields in your Azure Search index (although I am not sure why you would want the "SearchTerm" field if the term in this field is already in one of the other fields).
If you structure your index this way, you can do a search for say "phosphate" and facet over the "MedicineInformationType" field to get a count of the results that are generic or brands.
For example (as a REST call):
search=phosphate&facet=MedicineInformationType
I have an airports database in Azure Search which upon searching I would like to boost results with those airports that contains the word "international" in the airport name.
given 2 results that have the same score, i would like to boost the one that has the word "international" in the airport name using just Azure Search (i.e. if possible, not using any code to manipulate after getting the relevant results).
I tried Term Boosting but it returns me a list of airports that has "international" in them which is not what I want.
I looked at the Scoring Functions but none of them seems to suit my needs
in essence, i do not want to "match" results that contains the word "international"
but i want to "boost" results that contains the word "international" after the user keys in the query text
If you want results containing a term to score higher, but you don't want to require matching documents to contain the term, you can use OR as well as AND. For example, if the user typed "Dallas", your query could look like this:
Dallas OR (Dallas AND airportName:international)
If you further want to control the impact that the term international has on the score, you can use term boosting.
You might find this article on how Azure Search processes queries to be helpful.
I have ngram-indexed 2 fields (columns in the database) and the third one is my full text field. Now my default text field is the full text field and while querying I use dismax handler and specify in it both the ngrammed field with certain boost values and also full text field with a certain boost value.
Problem for me if I dont use dismax and just search full text field(i.e. default field specified in schema) synonyms work correctly i.e. ca returns all results where california is there whereas if i use dismax ca is also searched in the ngrammed fields and return partial matches of the word ca and does not go at all in the synonym part.
I want to use synonyms in every case so how should I go about it?
Ensure you already correctly configured the "SynonymFilterFactory" filter in your ngram field's query analyzer.
If still doesn't work, the Solr admin's analysis interface can give more details of the tokenize/filter procedures, through which can check if the Synonym part already works as expected.