If I have documents (lets say books) I want to search that have a facet (lets say genre) where the document can have many values for that facet, so for example a book could be both "young adult", "fiction", "sci-fi"
Can azure search faceting handle this situation and if so can it do it from simple strings with a delimeter?
Define the genre field in your index as a string collection (Collection(Edm.String) and make it facetable. When indexing documents, pass the values for that field as a JSON array:
{
... other properties
"genre" : [ "young adult", "fiction", "sci-fi" ]
}
Related
If every document has an array of objects, let say :
hobbies:[
{
"title": "Swimming",
"frequency": 4
},
{
"title": "Playing",
"frequency": 3
}
]
and I use hobbies as an Index, then how all the documents in my db will be stored in an sorted manner? Which field will it consider to sort all the documents in index?
You can create an index on hobbies field like this as a compound-index :
db.collection.createIndex( { "hobbies.title": 1, "hobbies.frequency": 1 } )
So as hobbies is an array then eventually if you get hobbies.title,hobbies.frequency it will also be an array, So as if MongoDB finds an array to be indexed then it would create multikey-index on that particular field (Basically in above scenario your document will be unwinded into two docs on title & frequency one for first object in array & another for second object in array in ascending order).
Need some advise.
I have indexed documents in elasticsearch, now i want to search all results with one certain field value with all related document, like following if i search for reportId=12345, the results will have several documents related, how can i use one api to get results with not unique on certain field
POST myindex/type/_search
{
"query": {
"match": {
"reportId": "12345"
}
}
}
I have following Data in my Index,
{
"name" : "The 100",
"lists" : [
"2c8540ee-85df-4f1a-b35f-00124e1d3c4a;Bellamy",
"2c8540ee-85df-4f1a-b35f-00155c40f11c;Pike",
"2c8540ee-85df-4f1a-b35f-00155c02e581;Clark"
]
}
I have to get all the documents where the lists has Pike in it.
Though a full search query works with Any I could't get the contains work.
$filter=lists/any(t: t eq '2c8540ee-85df-4f1a-b35f-00155c40f11c;Pike')
However i am not sure how to search only with Pike.
$filter=lists/any(t: t eq 'Pike')
I guess the eq looks for a full text search, is there any way with the given data structure I should make this query work.
Currently the field lists has no searchable property only the filterable property.
The eq operator looks for exact, case-sensitive matches. That's why it doesn't match 'Pike'. You need to structure your index such that terms like 'Pike' can be easily found. You can accomplish this in one of two ways:
Separate the GUIDs from the names when you index documents. So instead of indexing "2c8540ee-85df-4f1a-b35f-00155c40f11c;Pike" as a single string, you could index them as separate strings in the same array, or perhaps in two different collection fields (one for GUIDs and one for names) if you need to correlate them by position.
If the field is searchable, you can use the new search.ismatch function in your filter. Assuming the field is using the standard analyzer, full-text search will word-break on the semicolons, so you should be able to search just for "Pike" and get a match. The syntax would look like this: $filter=search.ismatch('Pike', 'lists') (If looking for "Pike" is all your filter does, you can just use the search and searchFields parameters to the Search API instead of $filter.) If the "lists" field is not already searchable, you will need to either add a new field and re-index the "lists" values, or re-create your index from scratch with the new field definition.
Update
There is a new approach to solve this type of problem that's available in API versions 2019-05-06 and above. You can now use complex types to represent structured data, including in collections. For the original example, you could structure the data like this:
{
"name" : "The 100",
"lists" : [
{ "id": "2c8540ee-85df-4f1a-b35f-00124e1d3c4a", "name": "Bellamy" },
{ "id": "2c8540ee-85df-4f1a-b35f-00155c40f11c", "name": "Pike" },
{ "id": "2c8540ee-85df-4f1a-b35f-00155c02e581", "name": "Clark" }
]
}
And then directly query for the name sub-field like this:
$filter=lists/any(l: l/name eq 'Pike')
The documentation for complex types is here.
There is a cloudant database that stores some documents.
There is also mobile app that takes those documents by using search indexes.
Question is:
Is it possible to make query "get me all indexes that appear after this one"?
For example:
I start app, and get from database documents with id 'aaa','aab' and 'aac'.
I want to store last id - 'aac' - in memory of my app.
Then, when I start the app, I want to get from database documents that appeared after 'aac'.
I think the main problem will be, that _ids are assigned as random strings, but I want to be sure.
when searching the index, try including the selector field in JSON object of the request body:
{
"selector": {
"_id": {
"$gt": "the_previous_id"
}
},
"sort": [
{
"_id": "asc"
}
]
}
in addition, from https://docs.cloudant.com/document.html:
"The _id field is either created by you, or generated automatically as a UUID by Cloudant."
therefore, it is possible to provide your own _ids when creating a document if the Cloudant generated _ids are not working for you.
condition operators:
https://docs.cloudant.com/cloudant_query.html#condition-operators
I was wondering if it is possible to sort by the order that you request documents from SOLR. I am running a In based query and would just like SOLR to return them based on the order that I ask.
In (4,2,3,1) should return me documents ordered 4,2,3,1.
Thanks.
You need Sorting in solr, to order them by field.
I assume that "In based query" means something like: fetch docs whose fieldx has values in (val1,val2). You can a field as multi-valued field and facet on that field. A facet query is a 'is in' search, out of the box (so to say) and it can do more sophisticated searches too.
Edited on OP's query:
Updating a document with a multi-valued field in JSON here. See the line
"my_multivalued_field": [ "aaa", "bbb" ] /* use an array for a multi-valued field */
As for doing a facet query, check this.
You need to do one or more fq statements:
&fq=field1:[400 to 500]
&fq=field2:johnson,thompson
Also do read up on the fact (in link above) that you need to facet on stored rather than indexed fields.
You can easily apply sorting with QueryOptions and field sort (ExtraParams property - I am sorting by savedate field, descending):
var results = _solr.Query(textQuery,
new QueryOptions
{
Highlight = new HighlightingParameters
{
Fields = new[] { "*" },
},
ExtraParams = new Dictionary<string, string>
{
{"fq", dateQuery},
{"sort", "savedate desc"}
}
});