SearchSuggestionSpec
public final class SearchSuggestionSpec
This class represents the specification logic for AppSearch. It can be used to set the filter and settings of search a suggestions.
| See also | |
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searchSuggestionAsync |
Summary
Nested types |
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public final class SearchSuggestionSpec.BuilderBuilder for |
Constants |
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static final int |
Ranked by the document count that contains the term. |
static final int |
No Ranking, results are returned in arbitrary order. |
static final int |
Ranked by the term appear frequency. |
Public methods |
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@NonNull Map<String, List<String>> |
Returns the map of namespace and target document ids to search over. |
@NonNull List<String> |
Returns the list of namespaces to search over. |
@NonNull Map<String, List<String>> |
Returns the map of schema and target properties to search over. |
@NonNull List<String> |
Returns the list of schema to search the suggestion over. |
int |
Returns the maximum number of wanted suggestion that will be returned in the result object. |
int |
Returns the ranking strategy. |
@NonNull List<String> |
Returns the list of String parameters that can be referenced in the query through the "getSearchStringParameter({index})" function. |
Constants
SUGGESTION_RANKING_STRATEGY_DOCUMENT_COUNT
public static final int SUGGESTION_RANKING_STRATEGY_DOCUMENT_COUNT = 0
Ranked by the document count that contains the term.
Suppose the following document is in the index.
Doc1 contains: term1 term2 term2 term2
Doc2 contains: term1
Then, suppose that a search suggestion for "t" is issued with the DOCUMENT_COUNT, the returned SearchSuggestionResults will be: term1, term2. The term1 will have higher score and appear in the results first.
SUGGESTION_RANKING_STRATEGY_NONE
public static final int SUGGESTION_RANKING_STRATEGY_NONE = 2
No Ranking, results are returned in arbitrary order.
SUGGESTION_RANKING_STRATEGY_TERM_FREQUENCY
public static final int SUGGESTION_RANKING_STRATEGY_TERM_FREQUENCY = 1
Ranked by the term appear frequency.
Suppose the following document is in the index.
Doc1 contains: term1 term2 term2 term2
Doc2 contains: term1
Then, suppose that a search suggestion for "t" is issued with the TERM_FREQUENCY, the returned SearchSuggestionResults will be: term2, term1. The term2 will have higher score and appear in the results first.
Public methods
getFilterDocumentIds
public @NonNull Map<String, List<String>> getFilterDocumentIds()
Returns the map of namespace and target document ids to search over.
The keys of the returned map are namespaces, and the values are the target document ids in that namespace to search over.
If addFilterDocumentIds was never called, returns an empty map. In this case AppSearch will search over all namespace and document ids.
Calling this function repeatedly is inefficient. Prefer to retain the Map returned by this function, rather than calling it multiple times.
getFilterNamespaces
public @NonNull List<String> getFilterNamespaces()
Returns the list of namespaces to search over.
If empty, will search over all namespaces.
getFilterProperties
public @NonNull Map<String, List<String>> getFilterProperties()
Returns the map of schema and target properties to search over.
The keys of the returned map are schema types, and the values are the target property path in that schema to search over.
If addFilterPropertyPaths was never called, returns an empty map. In this case AppSearch will search over all schemas and properties.
Calling this function repeatedly is inefficient. Prefer to retain the Map returned by this function, rather than calling it multiple times.
getFilterSchemas
public @NonNull List<String> getFilterSchemas()
Returns the list of schema to search the suggestion over.
If empty, will search over all schemas.
getMaximumResultCount
public int getMaximumResultCount()
Returns the maximum number of wanted suggestion that will be returned in the result object.