public interface

AppSearchSession

implements java.io.Closeable

 androidx.appsearch.app.AppSearchSession

Gradle dependencies

compile group: 'androidx.appsearch', name: 'appsearch', version: '1.1.0-alpha05'

  • groupId: androidx.appsearch
  • artifactId: appsearch
  • version: 1.1.0-alpha05

Artifact androidx.appsearch:appsearch:1.1.0-alpha05 it located at Google repository (https://maven.google.com/)

Overview

Provides a connection to a single AppSearch database.

An AppSearchSession instance provides access to database operations such as setting a schema, adding documents, and searching.

Instances of this interface are usually obtained from a storage implementation, e.g. LocalStorage.createSearchSessionAsync() or PlatformStorage.createSearchSessionAsync().

All implementations of this interface must be thread safe.

Summary

Methods
public voidclose()

Closes the AppSearchSession to persist all schema and document updates, additions, and deletes to disk.

public <any>getByDocumentIdAsync(GetByDocumentIdRequest request)

Gets GenericDocument objects by document IDs in a namespace from the AppSearchSession database.

public FeaturesgetFeatures()

Returns the Features to check for the availability of certain features for this session.

public <any>getNamespacesAsync()

Retrieves the set of all namespaces in the current database with at least one document.

public <any>getSchemaAsync()

Retrieves the schema most recently successfully provided to AppSearchSession.setSchemaAsync(SetSchemaRequest).

public <any>getStorageInfoAsync()

Gets the storage info for this AppSearchSession database.

public <any>putAsync(PutDocumentsRequest request)

Indexes documents into the AppSearchSession database.

public <any>removeAsync(RemoveByDocumentIdRequest request)

Removes GenericDocument objects by document IDs in a namespace from the AppSearchSession database.

public <any>removeAsync(java.lang.String queryExpression, SearchSpec searchSpec)

Removes GenericDocuments from the index by Query.

public <any>reportUsageAsync(ReportUsageRequest request)

Reports usage of a particular document by namespace and ID.

public <any>requestFlushAsync()

Flush all schema and document updates, additions, and deletes to disk if possible.

public SearchResultssearch(java.lang.String queryExpression, SearchSpec searchSpec)

Retrieves documents from the open AppSearchSession that match a given query string and type of search provided.

public <any>searchSuggestionAsync(java.lang.String suggestionQueryExpression, SearchSuggestionSpec searchSuggestionSpec)

Retrieves suggested Strings that could be used as queryExpression in AppSearchSession.search(String, SearchSpec) API.

public <any>setSchemaAsync(SetSchemaRequest request)

Sets the schema that represents the organizational structure of data within the AppSearch database.

Methods

public <any> setSchemaAsync(SetSchemaRequest request)

Sets the schema that represents the organizational structure of data within the AppSearch database.

Upon creating an AppSearchSession, AppSearchSession.setSchemaAsync(SetSchemaRequest) should be called. If the schema needs to be updated, or it has not been previously set, then the provided schema will be saved and persisted to disk. Otherwise, AppSearchSession.setSchemaAsync(SetSchemaRequest) is handled efficiently as a no-op call.

Parameters:

request: the schema to set or update the AppSearch database to.

Returns:

a which resolves to a SetSchemaResponse object.

public <any> getSchemaAsync()

Retrieves the schema most recently successfully provided to AppSearchSession.setSchemaAsync(SetSchemaRequest).

Returns:

The pending GetSchemaResponse of performing this operation.

public <any> getNamespacesAsync()

Retrieves the set of all namespaces in the current database with at least one document.

Returns:

The pending result of performing this operation.

public <any> putAsync(PutDocumentsRequest request)

Indexes documents into the AppSearchSession database.

Each GenericDocument object must have a schemaType field set to an AppSearchSchema type that has been previously registered by calling the AppSearchSession.setSchemaAsync(SetSchemaRequest) method.

Parameters:

request: containing documents to be indexed.

Returns:

a which resolves to an AppSearchBatchResult. The keys of the returned AppSearchBatchResult are the IDs of the input documents. The values are either null if the corresponding document was successfully indexed, or a failed AppSearchResult otherwise.

public <any> getByDocumentIdAsync(GetByDocumentIdRequest request)

Gets GenericDocument objects by document IDs in a namespace from the AppSearchSession database.

Parameters:

request: a request containing a namespace and IDs to get documents for.

Returns:

A which resolves to an AppSearchBatchResult. The keys of the AppSearchBatchResult represent the input document IDs from the GetByDocumentIdRequest object. The values are either the corresponding GenericDocument object for the ID on success, or an AppSearchResult object on failure. For example, if an ID is not found, the value for that ID will be set to an AppSearchResult object with result code: AppSearchResult.RESULT_NOT_FOUND.

public SearchResults search(java.lang.String queryExpression, SearchSpec searchSpec)

Retrieves documents from the open AppSearchSession that match a given query string and type of search provided.

Query strings can be empty, contain one term with no operators, or contain multiple terms and operators.

For query strings that are empty, all documents that match the SearchSpec will be returned.

For query strings with a single term and no operators, documents that match the provided query string and SearchSpec will be returned.

The following operators are supported:

  • AND (implicit)

    AND is an operator that matches documents that contain all provided terms.

    NOTE: A space between terms is treated as an "AND" operator. Explicitly including "AND" in a query string will treat "AND" as a term, returning documents that also contain "AND".

    Example: "apple AND banana" matches documents that contain the terms "apple", "and", "banana".

    Example: "apple banana" matches documents that contain both "apple" and "banana".

    Example: "apple banana cherry" matches documents that contain "apple", "banana", and "cherry".

  • OR

    OR is an operator that matches documents that contain any provided term.

    Example: "apple OR banana" matches documents that contain either "apple" or "banana".

    Example: "apple OR banana OR cherry" matches documents that contain any of "apple", "banana", or "cherry".

  • Exclusion (-)

    Exclusion (-) is an operator that matches documents that do not contain the provided term.

    Example: "-apple" matches documents that do not contain "apple".

  • Grouped Terms

    For queries that require multiple operators and terms, terms can be grouped into subqueries. Subqueries are contained within an open "(" and close ")" parenthesis.

    Example: "(donut OR bagel) (coffee OR tea)" matches documents that contain either "donut" or "bagel" and either "coffee" or "tea".

  • Property Restricts

    For queries that require a term to match a specific AppSearchSchema property of a document, a ":" must be included between the property name and the term.

    Example: "subject:important" matches documents that contain the term "important" in the "subject" property.

The above description covers the query operators that are supported on all versions of AppSearch. Additional operators and their required features are described below.

Features.LIST_FILTER_QUERY_LANGUAGE: This feature covers the expansion of the query language to conform to the definition of the list filters language (https://aip .dev/160). This includes:

  • addition of explicit 'AND' and 'NOT' operators
  • property restricts are allowed with groupings (ex. "prop:(a OR b)")
  • addition of custom functions to control matching

The newly added custom functions covered by this feature are:

  • createList(String...)
  • search(String, List)
  • propertyDefined(String)

createList takes a variable number of strings and returns a list of strings. It is for use with search.

search takes a query string that will be parsed according to the supported query language and an optional list of strings that specify the properties to be restricted to. This exists as a convenience for multiple property restricts. So, for example, the query `(subject:foo OR body:foo) (subject:bar OR body:bar)` could be rewritten as `search("foo bar", createList("subject", "body"))`.

propertyDefined takes a string specifying the property of interest and matches all documents of any type that defines the specified property (ex. `propertyDefined("sender.name")`). Note that propertyDefined will match so long as the document's type defines the specified property. Unlike the "hasProperty" function below, this function does NOT require that the document actually hold any values for this property.

Features.NUMERIC_SEARCH: This feature covers numeric search expressions. In the query language, the values of properties that have AppSearchSchema.LongPropertyConfig.INDEXING_TYPE_RANGE set can be matched with a numeric search expression (the property, a supported comparator and an integer value). Supported comparators are <, <=, ==, >= and >.

Ex. `price < 10` will match all documents that has a numeric value in its price property that is less than 10.

Features.VERBATIM_SEARCH: This feature covers the verbatim string operator (quotation marks).

Ex. `"foo/bar" OR baz` will ensure that 'foo/bar' is treated as a single 'verbatim' token.

Features.LIST_FILTER_HAS_PROPERTY_FUNCTION: This feature covers the "hasProperty" function in query expressions, which takes a string specifying the property of interest and matches all documents that hold values for this property. Not to be confused with the "propertyDefined" function, which checks whether a document's schema has defined the property, instead of whether a document itself has this property.

Ex. `foo hasProperty("sender.name")` will return all documents that have the term "foo" AND have values in the property "sender.name". Consider two documents, documentA and documentB, of the same schema with an optional property "sender.name". If documentA sets "foo" in this property but documentB does not, then `hasProperty("sender.name")` will only match documentA. However, `propertyDefined("sender.name")` will match both documentA and documentB, regardless of whether a value is actually set.

Features.SCHEMA_EMBEDDING_PROPERTY_CONFIG: This feature covers the "semanticSearch" and "getEmbeddingParameter" functions in query expressions, which are used for semantic search.

Usage: semanticSearch(getEmbeddingParameter({embedding_index}), {low}, {high}, {metric})

  • semanticSearch matches all documents that have at least one embedding vector with a matching model signature (see EmbeddingVector.getModelSignature()) and a similarity score within the range specified based on the provided metric.
  • getEmbeddingParameter({embedding_index}) retrieves the embedding search passed in SearchSpec.Builder.addEmbeddingParameters(EmbeddingVector...) based on the index specified, which starts from 0.
  • "low" and "high" are floating point numbers that specify the similarity score range. If omitted, they default to negative and positive infinity, respectively.
  • "metric" is a string value that specifies how embedding similarities should be calculated. If omitted, it defaults to the metric specified in SearchSpec.Builder.setDefaultEmbeddingSearchMetricType(int). Possible values:
    • "COSINE"
    • "DOT_PRODUCT"
    • "EUCLIDEAN"

Examples:

  • Basic: semanticSearch(getEmbeddingParameter(0), 0.5, 1, "COSINE")
  • With a property restriction: property1:semanticSearch(getEmbeddingParameter(0), 0.5, 1)
  • Hybrid: foo OR semanticSearch(getEmbeddingParameter(0), 0.5, 1)
  • Complex: (foo OR semanticSearch(getEmbeddingParameter(0), 0.5, 1)) AND bar

Features.SEARCH_SPEC_SEARCH_STRING_PARAMETERS: This feature covers the "getSearchStringParameter" function in query expressions, which substitutes the string provided at the same index in SearchSpec.Builder.addSearchStringParameters(String...) into the query as plain text. This string is then segmented, normalized and stripped of punctuation-only segments. The remaining tokens are then AND'd together. This function is useful for callers who wish to provide user input, but want to ensure that that user input does not invoke any query operators.

Usage: getSearchStringParameter({search_parameter_strings_index})

Ex. `foo OR getSearchStringParameter(0)` with SearchSpec.getSearchStringParameters() returning {"bar OR baz."}. The string "bar OR baz." will be segmented into "bar", "OR", "baz", ".". Punctuation is removed and the segments are normalized to "bar", "or", "baz". This query will be equivalent to `foo OR (bar AND or AND baz)`.

The availability of each of these features can be checked by calling Features.isFeatureSupported(String) with the desired feature.

Additional search specifications, such as filtering by AppSearchSchema type or adding projection, can be set by calling the corresponding SearchSpec.Builder setter.

This method is lightweight. The heavy work will be done in SearchResults.getNextPageAsync().

Parameters:

queryExpression: query string to search.
searchSpec: spec for setting document filters, adding projection, setting term match type, etc.

Returns:

a SearchResults object for retrieved matched documents.

public <any> searchSuggestionAsync(java.lang.String suggestionQueryExpression, SearchSuggestionSpec searchSuggestionSpec)

Retrieves suggested Strings that could be used as queryExpression in AppSearchSession.search(String, SearchSpec) API.

The suggestionQueryExpression can contain one term with no operators, or contain multiple terms and operators. Operators will be considered as a normal term. Please see the operator examples below. The suggestionQueryExpression must end with a valid term, the suggestions are generated based on the last term. If the input suggestionQueryExpression doesn't have a valid token, AppSearch will return an empty result list. Please see the invalid examples below.

Example: if there are following documents with content stored in AppSearch.

  • document1: "term1"
  • document2: "term1 term2"
  • document3: "term1 term2 term3"
  • document4: "org"

Search suggestions with the single term suggestionQueryExpression "t", the suggested results are:

Search suggestions with the multiple term suggestionQueryExpression "org t", the suggested result will be "org term1" - The last token is completed by the suggested String.

Operators in AppSearchSession.search(String, SearchSpec) are supported.

NOTE: Exclusion and Grouped Terms in the last term is not supported.

example: "apple -f": This Api will throw an AppSearchException with AppSearchResult.RESULT_INVALID_ARGUMENT.

example: "apple (f)": This Api will return an empty results.

Invalid example: All these input suggestionQueryExpression don't have a valid last token, AppSearch will return an empty result list.

  • "" - Empty suggestionQueryExpression.
  • "(f)" - Ending in a closed brackets.
  • "f:" - Ending in an operator.
  • "f " - Ending in trailing space.

Parameters:

suggestionQueryExpression: the non empty query string to search suggestions
searchSuggestionSpec: spec for setting document filters

Returns:

The pending result of performing this operation which resolves to a List of SearchSuggestionResult on success. The returned suggestion Strings are ordered by the number of SearchResult you could get by using that suggestion in AppSearchSession.search(String, SearchSpec).

See also: AppSearchSession.search(String, SearchSpec)

public <any> reportUsageAsync(ReportUsageRequest request)

Reports usage of a particular document by namespace and ID.

A usage report represents an event in which a user interacted with or viewed a document.

For each call to AppSearchSession.reportUsageAsync(ReportUsageRequest), AppSearch updates usage count and usage recency * metrics for that particular document. These metrics are used for ordering AppSearchSession.search(String, SearchSpec) results by the SearchSpec.RANKING_STRATEGY_USAGE_COUNT and SearchSpec.RANKING_STRATEGY_USAGE_LAST_USED_TIMESTAMP ranking strategies.

Reporting usage of a document is optional.

Parameters:

request: The usage reporting request.

Returns:

The pending result of performing this operation which resolves to null on success.

public <any> removeAsync(RemoveByDocumentIdRequest request)

Removes GenericDocument objects by document IDs in a namespace from the AppSearchSession database.

Removed documents will no longer be surfaced by AppSearchSession.search(String, SearchSpec) or AppSearchSession.getByDocumentIdAsync(GetByDocumentIdRequest) calls.

Once the database crosses the document count or byte usage threshold, removed documents will be deleted from disk.

Parameters:

request: RemoveByDocumentIdRequest with IDs in a namespace to remove from the index.

Returns:

a which resolves to an AppSearchBatchResult. The keys of the AppSearchBatchResult represent the input IDs from the RemoveByDocumentIdRequest object. The values are either null on success, or a failed AppSearchResult otherwise. IDs that are not found will return a failed AppSearchResult with a result code of AppSearchResult.RESULT_NOT_FOUND.

public <any> removeAsync(java.lang.String queryExpression, SearchSpec searchSpec)

Removes GenericDocuments from the index by Query. Documents will be removed if they match the queryExpression in given namespaces and schemaTypes which is set via SearchSpec.Builder.addFilterNamespaces(String...) and SearchSpec.Builder.addFilterSchemas(String...).

An empty queryExpression matches all documents.

An empty set of namespaces or schemaTypes matches all namespaces or schemaTypes in the current database.

Parameters:

queryExpression: Query String to search.
searchSpec: Spec containing schemaTypes, namespaces and query expression indicates how document will be removed. All specific about how to scoring, ordering, snippeting and resulting will be ignored.

Returns:

The pending result of performing this operation.

public <any> getStorageInfoAsync()

Gets the storage info for this AppSearchSession database.

This may take time proportional to the number of documents and may be inefficient to call repeatedly.

Returns:

a which resolves to a StorageInfo object.

public <any> requestFlushAsync()

Flush all schema and document updates, additions, and deletes to disk if possible.

The request is not guaranteed to be handled and may be ignored by some implementations of AppSearchSession.

Returns:

The pending result of performing this operation. AppSearchException with AppSearchResult.RESULT_INTERNAL_ERROR will be set to the future if we hit error when save to disk.

public Features getFeatures()

Returns the Features to check for the availability of certain features for this session.

public void close()

Closes the AppSearchSession to persist all schema and document updates, additions, and deletes to disk.

Source

/*
 * Copyright 2020 The Android Open Source Project
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
// @exportToFramework:skipFile()
package androidx.appsearch.app;

import android.annotation.SuppressLint;

import androidx.annotation.NonNull;

import com.google.common.util.concurrent.ListenableFuture;

import java.io.Closeable;
import java.util.List;
import java.util.Set;

/**
 * Provides a connection to a single AppSearch database.
 *
 * <p>An {@link AppSearchSession} instance provides access to database operations such as setting
 * a schema, adding documents, and searching.
 *
 * <p>Instances of this interface are usually obtained from a storage implementation, e.g.
 * {@code LocalStorage.createSearchSessionAsync()} or
 * {@code PlatformStorage.createSearchSessionAsync()}.
 *
 * <p>All implementations of this interface must be thread safe.
 *
 * @see GlobalSearchSession
 */
public interface AppSearchSession extends Closeable {

    /**
     * Sets the schema that represents the organizational structure of data within the AppSearch
     * database.
     *
     * <p>Upon creating an {@link AppSearchSession}, {@link #setSchemaAsync} should be called. If
     * the schema needs to be updated, or it has not been previously set, then the provided schema
     * will be saved and persisted to disk. Otherwise, {@link #setSchemaAsync} is handled
     * efficiently as a no-op call.
     *
     * @param  request the schema to set or update the AppSearch database to.
     * @return a {@link ListenableFuture} which resolves to a {@link SetSchemaResponse} object.
     */
    @NonNull
    ListenableFuture<SetSchemaResponse> setSchemaAsync(@NonNull SetSchemaRequest request);

    /**
     * Retrieves the schema most recently successfully provided to {@link #setSchemaAsync}.
     *
     * @return The pending {@link GetSchemaResponse} of performing this operation.
     */
    // This call hits disk; async API prevents us from treating these calls as properties.
    @SuppressLint("KotlinPropertyAccess")
    @NonNull
    ListenableFuture<GetSchemaResponse> getSchemaAsync();

    /**
     * Retrieves the set of all namespaces in the current database with at least one document.
     *
     * @return The pending result of performing this operation. */
    @NonNull
    ListenableFuture<Set<String>> getNamespacesAsync();

    /**
     * Indexes documents into the {@link AppSearchSession} database.
     *
     * <p>Each {@link GenericDocument} object must have a {@code schemaType} field set to an
     * {@link AppSearchSchema} type that has been previously registered by calling the
     * {@link #setSchemaAsync} method.
     *
     * @param request containing documents to be indexed.
     * @return a {@link ListenableFuture} which resolves to an {@link AppSearchBatchResult}.
     * The keys of the returned {@link AppSearchBatchResult} are the IDs of the input documents.
     * The values are either {@code null} if the corresponding document was successfully indexed,
     * or a failed {@link AppSearchResult} otherwise.
     */
    @NonNull
    ListenableFuture<AppSearchBatchResult<String, Void>> putAsync(
            @NonNull PutDocumentsRequest request);

    /**
     * Gets {@link GenericDocument} objects by document IDs in a namespace from the
     * {@link AppSearchSession} database.
     *
     * @param request a request containing a namespace and IDs to get documents for.
     * @return A {@link ListenableFuture} which resolves to an {@link AppSearchBatchResult}.
     * The keys of the {@link AppSearchBatchResult} represent the input document IDs from the
     * {@link GetByDocumentIdRequest} object. The values are either the corresponding
     * {@link GenericDocument} object for the ID on success, or an {@link AppSearchResult}
     * object on failure. For example, if an ID is not found, the value for that ID will be set
     * to an {@link AppSearchResult} object with result code:
     * {@link AppSearchResult#RESULT_NOT_FOUND}.
     */
    @NonNull
    ListenableFuture<AppSearchBatchResult<String, GenericDocument>> getByDocumentIdAsync(
            @NonNull GetByDocumentIdRequest request);

    /**
     * Retrieves documents from the open {@link AppSearchSession} that match a given query string
     * and type of search provided.
     *
     * <p>Query strings can be empty, contain one term with no operators, or contain multiple
     * terms and operators.
     *
     * <p>For query strings that are empty, all documents that match the {@link SearchSpec} will be
     * returned.
     *
     * <p>For query strings with a single term and no operators, documents that match the
     * provided query string and {@link SearchSpec} will be returned.
     *
     * <p>The following operators are supported:
     *
     * <ul>
     *     <li>AND (implicit)
     *     <p>AND is an operator that matches documents that contain <i>all</i>
     *     provided terms.
     *     <p><b>NOTE:</b> A space between terms is treated as an "AND" operator. Explicitly
     *     including "AND" in a query string will treat "AND" as a term, returning documents that
     *     also contain "AND".
     *     <p>Example: "apple AND banana" matches documents that contain the
     *     terms "apple", "and", "banana".
     *     <p>Example: "apple banana" matches documents that contain both "apple" and
     *     "banana".
     *     <p>Example: "apple banana cherry" matches documents that contain "apple", "banana", and
     *     "cherry".
     *
     *     <li>OR
     *     <p>OR is an operator that matches documents that contain <i>any</i> provided term.
     *     <p>Example: "apple OR banana" matches documents that contain either "apple" or "banana".
     *     <p>Example: "apple OR banana OR cherry" matches documents that contain any of
     *     "apple", "banana", or "cherry".
     *
     *     <li>Exclusion (-)
     *     <p>Exclusion (-) is an operator that matches documents that <i>do not</i> contain the
     *     provided term.
     *     <p>Example: "-apple" matches documents that do not contain "apple".
     *
     *     <li>Grouped Terms
     *     <p>For queries that require multiple operators and terms, terms can be grouped into
     *     subqueries. Subqueries are contained within an open "(" and close ")" parenthesis.
     *     <p>Example: "(donut OR bagel) (coffee OR tea)" matches documents that contain
     *     either "donut" or "bagel" and either "coffee" or "tea".
     *
     *     <li>Property Restricts
     *     <p>For queries that require a term to match a specific {@link AppSearchSchema}
     *     property of a document, a ":" must be included between the property name and the term.
     *     <p>Example: "subject:important" matches documents that contain the term "important" in
     *     the "subject" property.
     * </ul>
     *
     * <p>The above description covers the query operators that are supported on all versions of
     * AppSearch. Additional operators and their required features are described below.
     *
     * <p>{@link Features#LIST_FILTER_QUERY_LANGUAGE}: This feature covers the expansion of the
     * query language to conform to the definition of the list filters language (https://aip
     * .dev/160). This includes:
     * <ul>
     *     <li>addition of explicit 'AND' and 'NOT' operators</li>
     *     <li>property restricts are allowed with groupings (ex. "prop:(a OR b)")</li>
     *     <li>addition of custom functions to control matching</li>
     * </ul>
     *
     * <p>The newly added custom functions covered by this feature are:
     * <ul>
     *     <li>createList(String...)</li>
     *     <li>search(String, {@code List<String>})</li>
     *     <li>propertyDefined(String)</li>
     * </ul>
     *
     * <p>createList takes a variable number of strings and returns a list of strings.
     * It is for use with search.
     *
     * <p>search takes a query string that will be parsed according to the supported
     * query language and an optional list of strings that specify the properties to be
     * restricted to. This exists as a convenience for multiple property restricts. So,
     * for example, the query `(subject:foo OR body:foo) (subject:bar OR body:bar)`
     * could be rewritten as `search("foo bar", createList("subject", "body"))`.
     *
     * <p>propertyDefined takes a string specifying the property of interest and matches all
     * documents of any type that defines the specified property
     * (ex. `propertyDefined("sender.name")`). Note that propertyDefined will match so long as
     * the document's type defines the specified property. Unlike the "hasProperty" function
     * below, this function does NOT require that the document actually hold any values for this
     * property.
     *
     * <p>{@link Features#NUMERIC_SEARCH}: This feature covers numeric search expressions. In the
     * query language, the values of properties that have
     * {@link AppSearchSchema.LongPropertyConfig#INDEXING_TYPE_RANGE} set can be matched with a
     * numeric search expression (the property, a supported comparator and an integer value).
     * Supported comparators are <, <=, ==, >= and >.
     *
     * <p>Ex. `price < 10` will match all documents that has a numeric value in its price
     * property that is less than 10.
     *
     * <p>{@link Features#VERBATIM_SEARCH}: This feature covers the verbatim string operator
     * (quotation marks).
     *
     * <p>Ex. `"foo/bar" OR baz` will ensure that 'foo/bar' is treated as a single 'verbatim' token.
     *
     * <p>{@link Features#LIST_FILTER_HAS_PROPERTY_FUNCTION}: This feature covers the
     * "hasProperty" function in query expressions, which takes a string specifying the property
     * of interest and matches all documents that hold values for this property. Not to be
     * confused with the "propertyDefined" function, which checks whether a document's schema
     * has defined the property, instead of whether a document itself has this property.
     *
     * <p>Ex. `foo hasProperty("sender.name")` will return all documents that have the term "foo"
     * AND have values in the property "sender.name". Consider two documents, documentA and
     * documentB, of the same schema with an optional property "sender.name". If documentA sets
     * "foo" in this property but documentB does not, then `hasProperty("sender.name")` will only
     * match documentA. However, `propertyDefined("sender.name")` will match both documentA and
     * documentB, regardless of whether a value is actually set.
     *
     * <p>{@link Features#SCHEMA_EMBEDDING_PROPERTY_CONFIG}: This feature covers the
     * "semanticSearch" and "getEmbeddingParameter" functions in query expressions, which are
     * used for semantic search.
     *
     * <p>Usage: semanticSearch(getEmbeddingParameter({embedding_index}), {low}, {high}, {metric})
     * <ul>
     *     <li>semanticSearch matches all documents that have at least one embedding vector with
     *     a matching model signature (see {@link EmbeddingVector#getModelSignature()}) and a
     *     similarity score within the range specified based on the provided metric.</li>
     *     <li>getEmbeddingParameter({embedding_index}) retrieves the embedding search passed in
     *     {@link SearchSpec.Builder#addEmbeddingParameters} based on the index specified, which
     *     starts from 0.</li>
     *     <li>"low" and "high" are floating point numbers that specify the similarity score
     *     range. If omitted, they default to negative and positive infinity, respectively.</li>
     *     <li>"metric" is a string value that specifies how embedding similarities should be
     *     calculated. If omitted, it defaults to the metric specified in
     *     {@link SearchSpec.Builder#setDefaultEmbeddingSearchMetricType(int)}. Possible
     *     values:</li>
     *     <ul>
     *         <li>"COSINE"</li>
     *         <li>"DOT_PRODUCT"</li>
     *         <li>"EUCLIDEAN"</li>
     *     </ul>
     * </ul>
     *
     * <p>Examples:
     * <ul>
     *     <li>Basic: semanticSearch(getEmbeddingParameter(0), 0.5, 1, "COSINE")</li>
     *     <li>With a property restriction:
     *     property1:semanticSearch(getEmbeddingParameter(0), 0.5, 1)</li>
     *     <li>Hybrid: foo OR semanticSearch(getEmbeddingParameter(0), 0.5, 1)</li>
     *     <li>Complex: (foo OR semanticSearch(getEmbeddingParameter(0), 0.5, 1)) AND bar</li>
     * </ul>
     *
     * <p>{@link Features#SEARCH_SPEC_SEARCH_STRING_PARAMETERS}: This feature covers the
     * "getSearchStringParameter" function in query expressions, which substitutes the string
     * provided at the same index in {@link SearchSpec.Builder#addSearchStringParameters} into the
     * query as plain text. This string is then segmented, normalized and stripped of
     * punctuation-only segments. The remaining tokens are then AND'd together. This function is
     * useful for callers who wish to provide user input, but want to ensure that that user input
     * does not invoke any query operators.
     *
     * <p>Usage: getSearchStringParameter({search_parameter_strings_index})
     *
     * <p>Ex. `foo OR getSearchStringParameter(0)` with {@link SearchSpec#getSearchStringParameters}
     * returning {"bar OR baz."}. The string "bar OR baz." will be segmented into "bar", "OR",
     * "baz", ".". Punctuation is removed and the segments are normalized to "bar", "or", "baz".
     * This query will be equivalent to `foo OR (bar AND or AND baz)`.
     *
     * <p>The availability of each of these features can be checked by calling
     * {@link Features#isFeatureSupported} with the desired feature.
     *
     * <p>Additional search specifications, such as filtering by {@link AppSearchSchema} type or
     * adding projection, can be set by calling the corresponding {@link SearchSpec.Builder} setter.
     *
     * <p>This method is lightweight. The heavy work will be done in
     * {@link SearchResults#getNextPageAsync}.
     *
     * @param queryExpression query string to search.
     * @param searchSpec      spec for setting document filters, adding projection, setting term
     *                        match type, etc.
     * @return a {@link SearchResults} object for retrieved matched documents.
     */
    // TODO(b/326656531): Refine the javadoc to provide guidance on the best practice of
    //  embedding searches and how to select an appropriate metric.
    @NonNull
    SearchResults search(@NonNull String queryExpression, @NonNull SearchSpec searchSpec);

    /**
     * Retrieves suggested Strings that could be used as {@code queryExpression} in
     * {@link #search(String, SearchSpec)} API.
     *
     * <p>The {@code suggestionQueryExpression} can contain one term with no operators, or contain
     * multiple terms and operators. Operators will be considered as a normal term. Please see the
     * operator examples below. The {@code suggestionQueryExpression} must end with a valid term,
     * the suggestions are generated based on the last term. If the input
     * {@code suggestionQueryExpression} doesn't have a valid token, AppSearch will return an
     * empty result list. Please see the invalid examples below.
     *
     * <p>Example: if there are following documents with content stored in AppSearch.
     * <ul>
     *     <li>document1: "term1"
     *     <li>document2: "term1 term2"
     *     <li>document3: "term1 term2 term3"
     *     <li>document4: "org"
     * </ul>
     *
     * <p>Search suggestions with the single term {@code suggestionQueryExpression} "t", the
     * suggested results are:
     * <ul>
     *     <li>"term1" - Use it to be queryExpression in {@link #search} could get 3
     *     {@link SearchResult}s, which contains document 1, 2 and 3.
     *     <li>"term2" - Use it to be queryExpression in {@link #search} could get 2
     *     {@link SearchResult}s, which contains document 2 and 3.
     *     <li>"term3" - Use it to be queryExpression in {@link #search} could get 1
     *     {@link SearchResult}, which contains document 3.
     * </ul>
     *
     * <p>Search suggestions with the multiple term {@code suggestionQueryExpression} "org t", the
     * suggested result will be "org term1" - The last token is completed by the suggested
     * String.
     *
     * <p>Operators in {@link #search} are supported.
     * <p><b>NOTE:</b> Exclusion and Grouped Terms in the last term is not supported.
     * <p>example: "apple -f": This Api will throw an
     * {@link androidx.appsearch.exceptions.AppSearchException} with
     * {@link AppSearchResult#RESULT_INVALID_ARGUMENT}.
     * <p>example: "apple (f)": This Api will return an empty results.
     *
     * <p>Invalid example: All these input {@code suggestionQueryExpression} don't have a valid
     * last token, AppSearch will return an empty result list.
     * <ul>
     *     <li>""      - Empty {@code suggestionQueryExpression}.
     *     <li>"(f)"   - Ending in a closed brackets.
     *     <li>"f:"    - Ending in an operator.
     *     <li>"f    " - Ending in trailing space.
     * </ul>
     *
     * @param suggestionQueryExpression the non empty query string to search suggestions
     * @param searchSuggestionSpec      spec for setting document filters
     * @return The pending result of performing this operation which resolves to a List of
     *         {@link SearchSuggestionResult} on success. The returned suggestion Strings are
     *         ordered by the number of {@link SearchResult} you could get by using that suggestion
     *         in {@link #search}.
     *
     * @see #search(String, SearchSpec)
     */
    @NonNull
    ListenableFuture<List<SearchSuggestionResult>> searchSuggestionAsync(
            @NonNull String suggestionQueryExpression,
            @NonNull SearchSuggestionSpec searchSuggestionSpec);

    /**
     * Reports usage of a particular document by namespace and ID.
     *
     * <p>A usage report represents an event in which a user interacted with or viewed a document.
     *
     * <p>For each call to {@link #reportUsageAsync}, AppSearch updates usage count and usage
     * recency * metrics for that particular document. These metrics are used for ordering
     * {@link #search} results by the {@link SearchSpec#RANKING_STRATEGY_USAGE_COUNT} and
     * {@link SearchSpec#RANKING_STRATEGY_USAGE_LAST_USED_TIMESTAMP} ranking strategies.
     *
     * <p>Reporting usage of a document is optional.
     *
     * @param request The usage reporting request.
     * @return The pending result of performing this operation which resolves to {@code null} on
     *     success.
     */
    @NonNull
    ListenableFuture<Void> reportUsageAsync(@NonNull ReportUsageRequest request);

    /**
     * Removes {@link GenericDocument} objects by document IDs in a namespace from the
     * {@link AppSearchSession} database.
     *
     * <p>Removed documents will no longer be surfaced by {@link #search} or
     * {@link #getByDocumentIdAsync}
     * calls.
     *
     * <p>Once the database crosses the document count or byte usage threshold, removed documents
     * will be deleted from disk.
     *
     * @param request {@link RemoveByDocumentIdRequest} with IDs in a namespace to remove from the
     *                index.
     * @return a {@link ListenableFuture} which resolves to an {@link AppSearchBatchResult}.
     * The keys of the {@link AppSearchBatchResult} represent the input IDs from the
     * {@link RemoveByDocumentIdRequest} object. The values are either {@code null} on success,
     * or a failed {@link AppSearchResult} otherwise. IDs that are not found will return a failed
     * {@link AppSearchResult} with a result code of {@link AppSearchResult#RESULT_NOT_FOUND}.
     */
    @NonNull
    ListenableFuture<AppSearchBatchResult<String, Void>> removeAsync(
            @NonNull RemoveByDocumentIdRequest request);

    /**
     * Removes {@link GenericDocument}s from the index by Query. Documents will be removed if they
     * match the {@code queryExpression} in given namespaces and schemaTypes which is set via
     * {@link SearchSpec.Builder#addFilterNamespaces} and
     * {@link SearchSpec.Builder#addFilterSchemas}.
     *
     * <p> An empty {@code queryExpression} matches all documents.
     *
     * <p> An empty set of namespaces or schemaTypes matches all namespaces or schemaTypes in
     * the current database.
     *
     * @param queryExpression Query String to search.
     * @param searchSpec      Spec containing schemaTypes, namespaces and query expression
     *                        indicates how document will be removed. All specific about how to
     *                        scoring, ordering, snippeting and resulting will be ignored.
     * @return The pending result of performing this operation.
     * @throws IllegalArgumentException if the {@link SearchSpec} contains a {@link JoinSpec}.
     * {@link JoinSpec} lets you join docs that are not owned by the caller, so the semantics of
     * failures from this method would be complex.
     */
    @NonNull
    ListenableFuture<Void> removeAsync(@NonNull String queryExpression,
            @NonNull SearchSpec searchSpec);

    /**
     * Gets the storage info for this {@link AppSearchSession} database.
     *
     * <p>This may take time proportional to the number of documents and may be inefficient to
     * call repeatedly.
     *
     * @return a {@link ListenableFuture} which resolves to a {@link StorageInfo} object.
     */
    @NonNull
    ListenableFuture<StorageInfo> getStorageInfoAsync();

    /**
     * Flush all schema and document updates, additions, and deletes to disk if possible.
     *
     * <p>The request is not guaranteed to be handled and may be ignored by some implementations of
     * AppSearchSession.
     *
     * @return The pending result of performing this operation.
     * {@link androidx.appsearch.exceptions.AppSearchException} with
     * {@link AppSearchResult#RESULT_INTERNAL_ERROR} will be set to the future if we hit error when
     * save to disk.
     */
    @NonNull
    ListenableFuture<Void> requestFlushAsync();

    /**
     * Returns the {@link Features} to check for the availability of certain features
     * for this session.
     */
    @NonNull
    Features getFeatures();

    /**
     * Closes the {@link AppSearchSession} to persist all schema and document updates, additions,
     * and deletes to disk.
     */
    @Override
    void close();
}