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How to create a search interface with the query API?
The type of credentials you create depends on the context the API is used in. Use the credentials to request authorization on behalf of the user. Use the scope https://www.googleapis.com/auth/cloud_search.query when requesting authorization. For additional information about OAuth options and client libraries, see Google Identity Platform
How does Microsoft Search work with the API?
Search requests run in the context of the signed-in user, identified using an access token with delegated permissions. The Microsoft Search API provides a query method to search across your data in Microsoft Search, where you pass a searchRequest in the request body, defining the specifics of your search.
How to use search API for the Python Elasticsearch client?
The only two required parameters for the Search API in Python are the index you want to search, and the body of the Elasticsearch query: In our next example, we’ll create a query to get all the documents in a particular index. We’ll use the Elasticsearch “match_all” option in the Python dictionary query to accomplish this.
What does a search query look like in Python?
Here’s what a basic search query would look like in a Python script: Python dictionaries map closely to JSON objects, so the Kibana version of the query shown above would look almost identical, except you would replace the query_body declaration with GET some_index/_search.
Where can I find the search API in Java?
You can also access most of the Search API features through the REST, Node.js, and Java Client APIs; for details, see REST Application Developer’s Guide, Node.js Application Developer’s Guide, or Java Application Developer’s Guide.
How is string parsing used in the search API?
For example, A OR B AND C parses to the equivalent of A OR (B AND C), while A OR B C parses to the equivalent of (A OR B) and C. String query parsing takes into account constraints and operators specified in an options node at search runtime.