Azure Search

Azure Search is a search-as-a-service solution that allows developers to incorporate a sophisticated search experience into web and mobile applications without having to worry about the complexities of full-text search and without having to deploy, maintain or manage any infrastructure

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  1. How to rename index or indexer? once it is created?

    Correctly it is not possible to rename index or indexer once it is created. It is difficult to admin or developer to create index or indexer from the scratch. Please provide some option on indexer should be update. Also provide some option to create indexer using existing one.

    1 vote
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    0 comments  ·  Indexing  ·  Flag idea as inappropriate…  ·  Admin →
  2. More descriptive errors for incorrect datatype

    We have been getting the following error when indexing

    The request is invalid. Details: parameters : An unexpected 'PrimitiveValue' node was found when reading from the JSON reader. A 'StartArray' node was expected

    It would be nice to know what field it failed on in the response and even better which specific object it was trying to work with and the value on that field.

    1 vote
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  3. Lack of features

    The azure search seems to lack many fundamental features. Ability to rename the index, clone the index are a few to name.

    1 vote
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  4. Allow changing of attributes of a field once data has already been indexed

    Common attributes users want to change are type (like int to string), doc-values, stored, indexed etc.

    1 vote
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  5. 2 votes
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  6. 1 vote
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  7. Provide a Java SDK for Azure Search

    Provide a Java SDK for Azure Search that covers the same functionality as the .NET SDK.

    1 vote
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  8. Cognitive search indexer across many containers

    Our solution currently uses separate containers to store client files etc.
    This was decided so we could define a strong boundary for client info.
    We have around 3000 containers at the moment.

    We would like to be able to use cognitive search across all the containers, at the moment it seems like a separate data source is needed per container.

    Thanks

    3 votes
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  9. Include parquet files

    We store most of our data in parquet format and currently use a custom indexer on another platform to keep them indexed.

    1 vote
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  10. 1 vote
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    0 comments  ·  Query - Search  ·  Flag idea as inappropriate…  ·  Admin →
  11. Support a DFS Query Then Fetch Search Type

    Support DFS Query then Fetch search type in order to get more accurate scores across shards. (Equivalent to search_type=dfs_query_then_fetch in Elasticsearch.)

    https://www.elastic.co/blog/understanding-query-then-fetch-vs-dfs-query-then-fetch

    https://www.elastic.co/guide/en/elasticsearch/reference/current/search-request-search-type.html

    6 votes
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    0 comments  ·  Query - Search  ·  Flag idea as inappropriate…  ·  Admin →
  12. Allow importing data from OneNote

    We have huge data stored in Onenote in many sections/pages. Having ability to import data from OneNote will help to use legacy content.

    3 votes
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  13. multi-word synonyms

    Do we have multi-word synonyms?
    If yes, can words between 2 synonym sets overlap? i.e. can I have the following 2 synonym sets:
    USA, United States
    United, together

    1 vote
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    0 comments  ·  Query - Search  ·  Flag idea as inappropriate…  ·  Admin →
  14. Azure Full Search with wildcard or fuzzy search not returning expected result

    Hello,
    I have following records in my Azure Search Index
    {
    "customerId": "8feda7ca-c9f0-40d9-86d8-434b0bbe94c2",
    "registeredName": "TeamPeacock",
    "tradingName": "TeamPeacock",
    },
    {
    "customerId": "b445eb04-8d07-4708-a197-770cda3a459e",
    "registeredName": "TeamPeacock1",
    "tradingName": "TeamPeacock 1",
    }

    I am using Full Search with wildcard/fuzzy search to fetch records.

    Below search queries fail to fetch the above records:
    Failed Query 1:
    {
    "search": "(peacock*) OR (peacock*~) OR (peacock~)",
    "queryType": "full",
    "searchMode": "all"
    }

    Failed Query 2:
    {
    "search": "(peacock*) OR (peacock*~) OR (peacock~)",
    "queryType": "full",
    "searchMode": "any"
    }

    Failed Query 3:
    {
    "search": "(peacock*)",
    "queryType": "full",
    "searchMode": "any"
    }

    Failed Query 4:
    {
    "search": "(peacock*~) OR (peacock~)",
    "queryType": "full",
    "searchMode": "any" …

    2 votes
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    0 comments  ·  Bugs  ·  Flag idea as inappropriate…  ·  Admin →
  15. Azure search Suggestions dose not filter duplicate items

    Azure search Suggestions dose not filter duplicate items. This is Suggestions official document https://docs.microsoft.com/en-us/rest/api/searchservice/suggestions.

    Please remove useless duplicate items. Duplicate items are useless in "search-as-you-type" scenario.

    6 votes
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  16. Enable option to make IP static

    In my case I do not have access in database server and I have noticed if I login my system different internet network then it's providing different IP to add in server firewall. I unable to see any option to make IP static like app service.

    2 votes
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  17. Remove initial document from index

    There should be an option to remove the initial/older documents from index and sync with only recently refreshed documents of indexer. For example if my actual data is getting refreshed everyday with new timestamp (but number of records can be increase/decrease) then in index there should be only newly refreshed data of indexer.

    2 votes
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  18. Integrate Azure Search with SharePoint Search engine

    Hi Folks,

    I just wanted to know, is it possible to Integrate Azure Search with SharePoint Search,

    When we have huge document base in the SharePoint say 300GB, and which makes search results not appropriate due to long crawling time.

    i want to fasten the crawling which is not possible, and hence i wanted to enhance the search results,

    so if it possible to Integrate Azure Search with SharePoint Search,

    3 votes
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    0 comments  ·  Pricing and Quotas  ·  Flag idea as inappropriate…  ·  Admin →
  19. Support correlated search on complex collections

    Now that Azure Search supports complex types, it would be useful to be able to combine full-text search and strict Boolean filters when querying over complex collections. Currently this is not possible -- search.ismatch()/ismatchscoring() are not allowed in lambda expressions, and using sub-fields of complex collections in full Lucene queries has uncorrelated semantics.

    For example, if you want to search for hotels that have deluxe rooms with city views, none of these gives you exactly what you want:

    search=Rooms/Description:(city views) AND Rooms/Type:(Deluxe Room)

    search=Rooms/Description:(city views)&$filter=Rooms/any(room: room/Type eq 'Deluxe Room')

    $filter=search.ismatchscoring('city views') and Rooms/any(room: room/Type eq 'Deluxe Room')

    Instead, what you'd…

    10 votes
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    0 comments  ·  Query - Search  ·  Flag idea as inappropriate…  ·  Admin →
  20. Index blob container metadata

    We're trying to set up an indexer for groups of related blobs (e.g. multiple formats of a single image file) using containers. Unfortunately, it seems like the blob indexer doesn't extract metadata from containers - only the blobs themselves. As a workaround, we can duplicate metadata across all blobs in a container, but it would be nice if the indexer supported indexing container metadata directly.

    6 votes
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    0 comments  ·  Indexing  ·  Flag idea as inappropriate…  ·  Admin →
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