SearchIndexClient Class

Package:: com.azure.search.documents.indexes

Maven Artifact:: com.azure:azure-search-documents:11.9.0-beta.1

java.lang.Object
- com.azure.search.documents.indexes.SearchIndexClient

public final class SearchIndexClient

This class provides a client that contains the operations for creating, getting, listing, updating, or deleting indexes or synonym map and analyzing text in an Azure AI Search service.

Overview

An index is stored on your search service and populated with JSON documents that are indexed and tokenized for information retrieval. The fields collection of an index defines the structure of the search document. Fields have a name, data types, and attributes that determine how it's used. For example, searchable fields are used in full text search, and thus tokenized during indexing. An index also defines other constructs, such as scoring profiles for relevance tuning, suggesters, semantic configurations, and custom analyzers.

A synonym map is service-level object that contains user-defined synonyms. This object is maintained independently of search indexes. Once uploaded, you can point any searchable field to the synonym map (one per field).

This client provides a synchronous API for accessing indexes. This client allows you to create, delete, update, and configure search indexes. The client also allows you to declare custom synonym maps to expand or rewrite queries.

Getting Started

Authenticating and building instances of this client are handled by SearchIndexClientBuilder. This sample shows you how to create an instance of the client:

SearchIndexClient searchIndexClient = new SearchIndexClientBuilder()
     .credential(new AzureKeyCredential("{key}"))
     .endpoint("{endpoint}")
     .buildClient();

For more information on authentication and building, see the documentation for SearchIndexClientBuilder.

Examples

The following examples all use a simple Hotel data set that you can import into your own index from the Azure portal. These are just a few of the basics - please check out our Samples for much more.

Create an Index

The following sample creates an index.

SearchIndex searchIndex = new SearchIndex("indexName", Arrays.asList(
     new SearchField("hotelId", SearchFieldDataType.STRING)
         .setKey(true)
         .setFilterable(true)
         .setSortable(true),
     new SearchField("hotelName", SearchFieldDataType.STRING)
         .setSearchable(true)
         .setFilterable(true)
         .setSortable(true),
     new SearchField("description", SearchFieldDataType.STRING)
         .setSearchable(true)
         .setAnalyzerName(LexicalAnalyzerName.EN_LUCENE),
     new SearchField("descriptionFr", SearchFieldDataType.STRING)
         .setSearchable(true)
         .setAnalyzerName(LexicalAnalyzerName.FR_LUCENE),
     new SearchField("tags", SearchFieldDataType.collection(SearchFieldDataType.STRING))
         .setSearchable(true)
         .setFilterable(true)
         .setFacetable(true),
     new SearchField("address", SearchFieldDataType.COMPLEX)
         .setFields(
             new SearchField("streetAddress", SearchFieldDataType.STRING)
                 .setSearchable(true),
             new SearchField("city", SearchFieldDataType.STRING)
                 .setFilterable(true)
                 .setSortable(true)
                 .setFacetable(true),
             new SearchField("stateProvince", SearchFieldDataType.STRING)
                 .setSearchable(true)
                 .setFilterable(true)
                 .setSortable(true)
                 .setFacetable(true),
             new SearchField("country", SearchFieldDataType.STRING)
                 .setSearchable(true)
                 .setSynonymMapNames("synonymMapName")
                 .setFilterable(true)
                 .setSortable(true)
                 .setFacetable(true),
             new SearchField("postalCode", SearchFieldDataType.STRING)
                 .setSearchable(true)
                 .setFilterable(true)
                 .setSortable(true)
                 .setFacetable(true))
 ));

 searchIndexClient.createIndex(searchIndex);

For an asynchronous sample see createIndex(SearchIndex index).

List indexes

The following sample lists all indexes.

searchIndexClient.listIndexes().forEach(index -> System.out.println(index.getName()));

For an asynchronous sample see listIndexes().

Retrieve an Index

The following sample retrieves an index.

SearchIndex searchIndex = searchIndexClient.getIndex("indexName");
 if (searchIndex != null) {
     System.out.println("The ETag of the index is " + searchIndex.getETag());
 }

For an asynchronous sample see getIndex(String name).

Update an Index

The following sample updates an index.

SearchIndex searchIndex = searchIndexClient.getIndex("indexName");
 if (searchIndex != null) {
     searchIndex.setFields(new SearchField("newField", SearchFieldDataType.STRING));
     searchIndexClient.createOrUpdateIndex(searchIndex);
 }

For an asynchronous sample see createOrUpdateIndex(SearchIndex index).

Delete an Index

The following sample deletes an index.

String indexName = "indexName";
 searchIndexClient.deleteIndex(indexName);

For an asynchronous sample see deleteIndex(String name).

Create a Synonym Map

The following sample creates a synonym map.

SynonymMap synonymMap = new SynonymMap("synonymMapName", "hotel, motel, \"motor inn\"");
 searchIndexClient.createSynonymMap(synonymMap);

For an asynchronous sample see createSynonymMap(SynonymMap synonymMap).

List Synonym Maps

The following sample lists all synonym maps.

searchIndexClient.listSynonymMaps().forEach(synonymMap -> System.out.println(synonymMap.getName()));

For an asynchronous sample see listSynonymMaps().

Retrieve a Synonym Map

The following sample retrieves a synonym map.

SynonymMap synonymMap = searchIndexClient.getSynonymMap("synonymMapName");
 if (synonymMap != null) {
     System.out.println("The ETag of the synonymMap is " + synonymMap.getETag());
 }

For an asynchronous sample see getSynonymMap(String name).

Update a Synonym Map

The following sample updates a synonym map.

SynonymMap synonymMap = searchIndexClient.getSynonymMap("synonymMapName");
 if (synonymMap != null) {
     synonymMap.setSynonyms("inn,hotel,motel");
     searchIndexClient.createOrUpdateSynonymMap(synonymMap);
 }

For an asynchronous sample see createOrUpdateSynonymMap(SynonymMap synonymMap).

Delete a Synonym Map

The following sample deletes a synonym map.

String synonymMapName = "synonymMapName";
 searchIndexClient.deleteSynonymMap(synonymMapName);

For an asynchronous sample see deleteSynonymMap(String name).

Method Summary

Modifier and Type	Method and Description
PagedIterable<AnalyzedTokenInfo>	analyzeText(String indexName, AnalyzeTextOptions analyzeTextOptions) Shows how an analyzer breaks text into tokens.
PagedIterable<AnalyzedTokenInfo>	analyzeText(String indexName, AnalyzeTextOptions analyzeTextOptions, Context context) Shows how an analyzer breaks text into tokens.
static List<SearchField>	buildSearchFields(Class<?> model, FieldBuilderOptions options) Convenience method to convert a Class's Fields and Methods into SearchField to help aid the creation of a SearchField which represents the Class.
SearchAlias	createAlias(SearchAlias alias) Creates a new Azure AI Search alias.
Response<SearchAlias>	createAliasWithResponse(SearchAlias alias, Context context) Creates a new Azure AI Search alias.
SearchIndex	createIndex(SearchIndex index) Creates a new Azure AI Search index
Response<SearchIndex>	createIndexWithResponse(SearchIndex index, Context context) Creates a new Azure AI Search index
KnowledgeBase	createKnowledgeBase(KnowledgeBase knowledgeBases) Creates a new agent.
Response<KnowledgeBase>	createKnowledgeBaseWithResponse(KnowledgeBase knowledgeBases, Context context) Creates a new agent.
KnowledgeSource	createKnowledgeSource(KnowledgeSource knowledgeSource) Creates a new knowledge source.
Response<KnowledgeSource>	createKnowledgeSourceWithResponse(KnowledgeSource knowledgeSource, Context context) Creates a new knowledge source.
SearchAlias	createOrUpdateAlias(SearchAlias alias) Creates or updates an Azure AI Search alias.
Response<SearchAlias>	createOrUpdateAliasWithResponse(SearchAlias alias, boolean onlyIfUnchanged, Context context) Creates or updates an Azure AI Search alias.
SearchIndex	createOrUpdateIndex(SearchIndex index) Creates a new Azure AI Search index or updates an index if it already exists.
Response<SearchIndex>	createOrUpdateIndexWithResponse(SearchIndex index, boolean allowIndexDowntime, boolean onlyIfUnchanged, Context context) Creates a new Azure AI Search index or updates an index if it already exists.
KnowledgeBase	createOrUpdateKnowledgeBase(KnowledgeBase knowledgeBases) Creates a new agent or updates an agent if it already exists.
Response<KnowledgeBase>	createOrUpdateKnowledgeBaseWithResponse(KnowledgeBase knowledgeBases, MatchConditions matchConditions, Context context) Creates a new agent or updates an agent if it already exists.
KnowledgeSource	createOrUpdateKnowledgeSource(KnowledgeSource knowledgeSource) Creates or updates a knowledge source.
Response<KnowledgeSource>	createOrUpdateKnowledgeSourceWithResponse(KnowledgeSource knowledgeSource, MatchConditions matchConditions, Context context) Creates or updates a knowledge source.
SynonymMap	createOrUpdateSynonymMap(SynonymMap synonymMap) Creates a new Azure AI Search synonym map or updates a synonym map if it already exists.
Response<SynonymMap>	createOrUpdateSynonymMapWithResponse(SynonymMap synonymMap, boolean onlyIfUnchanged, Context context) Creates a new Azure AI Search synonym map or updates a synonym map if it already exists.
SynonymMap	createSynonymMap(SynonymMap synonymMap) Creates a new Azure AI Search synonym map.
Response<SynonymMap>	createSynonymMapWithResponse(SynonymMap synonymMap, Context context) Creates a new Azure AI Search synonym map.
void	deleteAlias(String aliasName) Deletes the Azure AI Search alias.
Response<Void>	deleteAliasWithResponse(SearchAlias alias, boolean onlyIfUnchanged, Context context) Deletes the Azure AI Search alias.
void	deleteIndex(String indexName) Deletes an Azure AI Search index and all the documents it contains.
Response<Void>	deleteIndexWithResponse(SearchIndex index, boolean onlyIfUnchanged, Context context) Deletes an Azure AI Search index and all the documents it contains.
void	deleteKnowledgeBase(String knowledgeBaseName) Deletes an existing agent.
Response<Void>	deleteKnowledgeBaseWithResponse(String knowledgeBaseName, MatchConditions matchConditions, Context context) Deletes an existing agent.
void	deleteKnowledgeSource(String sourceName) Deletes an existing knowledge agent.
Response<Void>	deleteKnowledgeSourceWithResponse(String sourceName, MatchConditions matchConditions, Context context) Deletes an existing knowledge source.
void	deleteSynonymMap(String synonymMapName) Deletes an Azure AI Search synonym map.
Response<Void>	deleteSynonymMapWithResponse(SynonymMap synonymMap, boolean onlyIfUnchanged, Context context) Deletes an Azure AI Search synonym map.
SearchAlias	getAlias(String aliasName) Gets the Azure AI Search alias.
Response<SearchAlias>	getAliasWithResponse(String aliasName, Context context) Gets the Azure AI Search alias.
String	getEndpoint() Gets the endpoint for the Azure AI Search service.
SearchIndex	getIndex(String indexName) Retrieves an index definition from the Azure AI Search.
SearchIndexStatistics	getIndexStatistics(String indexName) Returns statistics for the given index, including a document count and storage usage.
Response<SearchIndexStatistics>	getIndexStatisticsWithResponse(String indexName, Context context) Returns statistics for the given index, including a document count and storage usage.
PagedIterable<IndexStatisticsSummary>	getIndexStatsSummary() Retrieves a summary of statistics for all indexes in the search service.
PagedIterable<IndexStatisticsSummary>	getIndexStatsSummary(Context context) Retrieves a summary of statistics for all indexes in the search service.
Response<SearchIndex>	getIndexWithResponse(String indexName, Context context) Retrieves an index definition from the Azure AI Search.
KnowledgeBase	getKnowledgeBase(String knowledgeBaseName) Retrieves an agent definition.
Response<KnowledgeBase>	getKnowledgeBaseWithResponse(String knowledgeBaseName, Context context) Retrieves an agent definition.
KnowledgeSource	getKnowledgeSource(String sourceName) Retrieves a knowledge source definition.
Response<KnowledgeSource>	getKnowledgeSourceWithResponse(String sourceName, Context context) Retrieves a knowledge source definition.
SearchClient	getSearchClient(String indexName) Initializes a new SearchClient using the given Index name and the same configuration as the SearchServiceClient.
SearchServiceStatistics	getServiceStatistics() Returns service level statistics for a search service, including service counters and limits.
Response<SearchServiceStatistics>	getServiceStatisticsWithResponse(Context context) Returns service level statistics for a search service, including service counters and limits.
SynonymMap	getSynonymMap(String synonymMapName) Retrieves a synonym map definition.
Response<SynonymMap>	getSynonymMapWithResponse(String synonymMapName, Context context) Retrieves a synonym map definition.
PagedIterable<SearchAlias>	listAliases() Lists all aliases in the Azure AI Search service.
PagedIterable<SearchAlias>	listAliases(Context context) Lists all aliases in the Azure AI Search service.
PagedIterable<SearchIndex>	listIndexes() Lists all indexes available for an Azure AI Search service.
PagedIterable<SearchIndex>	listIndexes(Context context) Lists all indexes available for an Azure AI Search service.
PagedIterable<String>	listIndexNames() Lists all index names for an Azure AI Search service.
PagedIterable<String>	listIndexNames(Context context) Lists all indexes names for an Azure AI Search service.
PagedIterable<KnowledgeBase>	listKnowledgeBases() Lists all knowledgebases available for a search service.
PagedIterable<KnowledgeBase>	listKnowledgeBases(Context context) Lists all knowledgebases available for a search service.
PagedIterable<KnowledgeSource>	listKnowledgeSources() Lists all knowledge sources available for a search service.
PagedIterable<KnowledgeSource>	listKnowledgeSources(Context context) Lists all knowledge sources available for a search service.
PagedIterable<String>	listSynonymMapNames() Lists all synonym maps names for an Azure AI Search service.
PagedIterable<String>	listSynonymMapNames(Context context) Lists all synonym maps names for an Azure AI Search service.
PagedIterable<SynonymMap>	listSynonymMaps() Lists all synonym maps available for an Azure AI Search service.
PagedIterable<SynonymMap>	listSynonymMaps(Context context) Lists all synonym maps available for an Azure AI Search service.

Methods inherited from java.lang.Object

clone equals finalize getClass hashCode notify notifyAll toString wait wait wait

Method Details

analyzeText

public PagedIterable<AnalyzedTokenInfo> analyzeText(String indexName, AnalyzeTextOptions analyzeTextOptions)

Shows how an analyzer breaks text into tokens.

Code Sample

Analyzer text with LexicalTokenizerName "Classic" in search index "searchIndex".

PagedIterable<AnalyzedTokenInfo> tokenInfos = SEARCH_INDEX_CLIENT.analyzeText("searchIndex",
     new AnalyzeTextOptions("The quick brown fox", LexicalTokenizerName.CLASSIC));
 for (AnalyzedTokenInfo tokenInfo : tokenInfos) {
     System.out.printf("The token emitted by the analyzer is %s.%n", tokenInfo.getToken());
 }

Parameters:

indexName - the name of the index for which to test an analyzer

analyzeTextOptions - the text and analyzer or analysis components to test. Requires to provide either LexicalTokenizerName or LexicalAnalyzerName.

Returns:

analyze result.

analyzeText

public PagedIterable<AnalyzedTokenInfo> analyzeText(String indexName, AnalyzeTextOptions analyzeTextOptions, Context context)

Shows how an analyzer breaks text into tokens.

Code Sample

Analyzer text response with LexicalTokenizerName "Classic" in search index "searchIndex".

PagedIterable<AnalyzedTokenInfo> tokenInfos = SEARCH_INDEX_CLIENT.analyzeText("searchIndex",
     new AnalyzeTextOptions("The quick brown fox", LexicalTokenizerName.CLASSIC), new Context(KEY_1, VALUE_1));
 System.out.println("The status code of the response is "
     + tokenInfos.iterableByPage().iterator().next().getStatusCode());
 for (AnalyzedTokenInfo tokenInfo : tokenInfos) {
     System.out.printf("The token emitted by the analyzer is %s.%n", tokenInfo.getToken());
 }

Parameters:

indexName - the name of the index for which to test an analyzer

analyzeTextOptions - the text and analyzer or analysis components to test. Requires to provide either LexicalTokenizerName or LexicalAnalyzerName.

context - additional context that is passed through the HTTP pipeline during the service call

Returns:

analyze result.

buildSearchFields

public static List<SearchField> buildSearchFields(Class<?> model, FieldBuilderOptions options)

Convenience method to convert a Class's Fields and Methods into SearchField to help aid the creation of a SearchField which represents the Class.

Parameters:

model - The model Class that will have SearchField generated from its structure.

options - Configuration used to determine generation of the SearchField.

Returns:

A list SearchField which represent the model Class.

createAlias

public SearchAlias createAlias(SearchAlias alias)

Creates a new Azure AI Search alias.

Code Sample

Create the search alias named "my-alias".

SearchAlias searchAlias = SEARCH_INDEX_CLIENT.createAlias(new SearchAlias("my-alias",
     Collections.singletonList("index-to-alias")));
 System.out.printf("Created alias '%s' that aliases index '%s'.", searchAlias.getName(),
     searchAlias.getIndexes().get(0));

Parameters:

alias - definition of the alias to create.

Returns:

the created alias.

createAliasWithResponse

public Response<SearchAlias> createAliasWithResponse(SearchAlias alias, Context context)

Creates a new Azure AI Search alias.

Code Sample

Create the search alias named "my-alias".

Response<SearchAlias> response = SEARCH_INDEX_CLIENT.createAliasWithResponse(new SearchAlias("my-alias",
     Collections.singletonList("index-to-alias")), new Context(KEY_1, VALUE_1));

 System.out.printf("Response status code %d. Created alias '%s' that aliases index '%s'.",
     response.getStatusCode(), response.getValue().getName(), response.getValue().getIndexes().get(0));

Parameters:

alias - definition of the alias to create.

context - additional context that is passed through the HTTP pipeline during the service call

Returns:

the created alias.

createIndex

public SearchIndex createIndex(SearchIndex index)

Creates a new Azure AI Search index

Code Sample

Create search index named "searchIndex".

List<SearchField> searchFields = Arrays.asList(
     new SearchField("hotelId", SearchFieldDataType.STRING).setKey(true),
     new SearchField("hotelName", SearchFieldDataType.STRING).setSearchable(true)
 );
 SearchIndex searchIndex = new SearchIndex("searchIndex", searchFields);
 SearchIndex indexFromService = SEARCH_INDEX_CLIENT.createIndex(searchIndex);
 System.out.printf("The index name is %s. The ETag of index is %s.%n", indexFromService.getName(),
     indexFromService.getETag());

Parameters:

index - definition of the index to create

Returns:

the created Index.

createIndexWithResponse

public Response<SearchIndex> createIndexWithResponse(SearchIndex index, Context context)

Creates a new Azure AI Search index

Code Sample

Create search index named "searchIndex".

List<SearchField> searchFields = Arrays.asList(
     new SearchField("hotelId", SearchFieldDataType.STRING).setKey(true),
     new SearchField("hotelName", SearchFieldDataType.STRING).setSearchable(true)
 );
 SearchIndex searchIndex = new SearchIndex("searchIndex", searchFields);

 Response<SearchIndex> indexFromServiceResponse =
     SEARCH_INDEX_CLIENT.createIndexWithResponse(searchIndex, new Context(KEY_1, VALUE_1));
 System.out.printf("The status code of the response is %s. The index name is %s.%n",
     indexFromServiceResponse.getStatusCode(), indexFromServiceResponse.getValue().getName());

Parameters:

index - definition of the index to create

context - additional context that is passed through the HTTP pipeline during the service call

Returns:

a response containing the created Index.

createKnowledgeBase

public KnowledgeBase createKnowledgeBase(KnowledgeBase knowledgeBases)

Creates a new agent.

Parameters:

knowledgeBases - The definition of the agent to create.

Returns:

the response.

createKnowledgeBaseWithResponse

public Response<KnowledgeBase> createKnowledgeBaseWithResponse(KnowledgeBase knowledgeBases, Context context)

Creates a new agent.

Parameters:

knowledgeBases - The definition of the agent to create.

context - The context to associate with this operation.

Returns:

the response body along with Response<T>.

createKnowledgeSource

public KnowledgeSource createKnowledgeSource(KnowledgeSource knowledgeSource)

Creates a new knowledge source.

Parameters:

knowledgeSource - The definition of the knowledge source to create.

Returns:

The created knowledge source.

createKnowledgeSourceWithResponse

public Response<KnowledgeSource> createKnowledgeSourceWithResponse(KnowledgeSource knowledgeSource, Context context)

Creates a new knowledge source.

Parameters:

knowledgeSource - The definition of the knowledge source to create.

context - The context to associate with this operation.

Returns:

A Response<T> containing the created knowledge source.

createOrUpdateAlias

public SearchAlias createOrUpdateAlias(SearchAlias alias)

Creates or updates an Azure AI Search alias.

Code Sample

Create then update the search alias named "my-alias".

SearchAlias searchAlias = SEARCH_INDEX_CLIENT.createOrUpdateAlias(
     new SearchAlias("my-alias", Collections.singletonList("index-to-alias")));

 System.out.printf("Created alias '%s' that aliases index '%s'.", searchAlias.getName(),
     searchAlias.getIndexes().get(0));

 searchAlias = SEARCH_INDEX_CLIENT.createOrUpdateAlias(new SearchAlias(searchAlias.getName(),
     Collections.singletonList("new-index-to-alias")));

 System.out.printf("Updated alias '%s' to aliases index '%s'.", searchAlias.getName(),
     searchAlias.getIndexes().get(0));

Parameters:

alias - definition of the alias to create or update.

Returns:

the created or updated alias.

createOrUpdateAliasWithResponse

public Response<SearchAlias> createOrUpdateAliasWithResponse(SearchAlias alias, boolean onlyIfUnchanged, Context context)

Creates or updates an Azure AI Search alias.

Code Sample

Create then update the search alias named "my-alias".

Response<SearchAlias> response = SEARCH_INDEX_CLIENT.createOrUpdateAliasWithResponse(
     new SearchAlias("my-alias", Collections.singletonList("index-to-alias")), false, new Context(KEY_1, VALUE_1));

 System.out.printf("Response status code %d. Created alias '%s' that aliases index '%s'.",
     response.getStatusCode(), response.getValue().getName(), response.getValue().getIndexes().get(0));

 response = SEARCH_INDEX_CLIENT.createOrUpdateAliasWithResponse(
     new SearchAlias(response.getValue().getName(), Collections.singletonList("new-index-to-alias"))
         .setETag(response.getValue().getETag()), true, new Context(KEY_1, VALUE_1));

 System.out.printf("Response status code %d. Updated alias '%s' that aliases index '%s'.",
     response.getStatusCode(), response.getValue().getName(), response.getValue().getIndexes().get(0));

Parameters:

alias - definition of the alias to create or update.

onlyIfUnchanged - only update the alias if the eTag matches the alias on the service.

context - additional context that is passed through the HTTP pipeline during the service call

Returns:

the created or updated alias.

createOrUpdateIndex

public SearchIndex createOrUpdateIndex(SearchIndex index)

Creates a new Azure AI Search index or updates an index if it already exists.

Code Sample

Create or update search index named "searchIndex".

SearchIndex indexFromService = SEARCH_INDEX_CLIENT.getIndex("searchIndex");
 indexFromService.setSuggesters(Collections.singletonList(new SearchSuggester("sg",
     Collections.singletonList("hotelName"))));
 SearchIndex updatedIndex = SEARCH_INDEX_CLIENT.createOrUpdateIndex(indexFromService);
 System.out.printf("The index name is %s. The suggester name of index is %s.%n", updatedIndex.getName(),
     updatedIndex.getSuggesters().get(0).getName());

Parameters:

index - the definition of the index to create or update

Returns:

the index that was created or updated.

createOrUpdateIndexWithResponse

public Response<SearchIndex> createOrUpdateIndexWithResponse(SearchIndex index, boolean allowIndexDowntime, boolean onlyIfUnchanged, Context context)

Creates a new Azure AI Search index or updates an index if it already exists.

Code Sample

Create or update search index named "searchIndex".

SearchIndex indexFromService = SEARCH_INDEX_CLIENT.getIndex("searchIndex");
 indexFromService.setSuggesters(Collections.singletonList(new SearchSuggester("sg",
     Collections.singletonList("hotelName"))));
 Response<SearchIndex> updatedIndexResponse = SEARCH_INDEX_CLIENT.createOrUpdateIndexWithResponse(indexFromService, true,
     false, new Context(KEY_1, VALUE_1));
 System.out.printf("The status code of the normal response is %s.%n"
         + "The index name is %s. The ETag of index is %s.%n", updatedIndexResponse.getStatusCode(),
     updatedIndexResponse.getValue().getName(), updatedIndexResponse.getValue().getETag());

Parameters:

index - the SearchIndex to create or update

allowIndexDowntime - allows new analyzers, tokenizers, token filters, or char filters to be added to an index by taking the index offline for at least a few seconds. This temporarily causes indexing and query requests to fail. Performance and write availability of the index can be impaired for several minutes after the index is updated, or longer for very large indexes.

onlyIfUnchanged - true to update if the index is the same as the current service value. false to always update existing value.

context - additional context that is passed through the HTTP pipeline during the service call

Returns:

a response containing the Index that was created or updated.

createOrUpdateKnowledgeBase

public KnowledgeBase createOrUpdateKnowledgeBase(KnowledgeBase knowledgeBases)

Creates a new agent or updates an agent if it already exists.

Parameters:

knowledgeBases - The definition of the agent to create or update.

Returns:

the response.

createOrUpdateKnowledgeBaseWithResponse

public Response<KnowledgeBase> createOrUpdateKnowledgeBaseWithResponse(KnowledgeBase knowledgeBases, MatchConditions matchConditions, Context context)

Creates a new agent or updates an agent if it already exists.

Parameters:

knowledgeBases - The definition of the agent to create or update.

matchConditions - Defining If-Match and If-None-Match conditions. If null is passed, no conditions will be applied.

context - The context to associate with this operation.

Returns:

the response body along with Response<T>.

createOrUpdateKnowledgeSource

public KnowledgeSource createOrUpdateKnowledgeSource(KnowledgeSource knowledgeSource)

Creates or updates a knowledge source.

Parameters:

knowledgeSource - The definition of the knowledge source to create or update.

Returns:

The created or updated knowledge source.

createOrUpdateKnowledgeSourceWithResponse

public Response<KnowledgeSource> createOrUpdateKnowledgeSourceWithResponse(KnowledgeSource knowledgeSource, MatchConditions matchConditions, Context context)

Creates or updates a knowledge source.

Parameters:

knowledgeSource - The definition of the knowledge source to create or update.

matchConditions - Defining If-Match and If-None-Match conditions. If null is passed, no conditions will be applied.

context - The context to associate with this operation.

Returns:

A Response<T> containing the created or updated knowledge source.

createOrUpdateSynonymMap

public SynonymMap createOrUpdateSynonymMap(SynonymMap synonymMap)

Creates a new Azure AI Search synonym map or updates a synonym map if it already exists.

Code Sample

Create or update synonym map named "synonymMap".

SynonymMap synonymMap = SEARCH_INDEX_CLIENT.getSynonymMap("synonymMapName");
 synonymMap.setSynonyms("United States, United States of America, USA, America\nWashington, Wash. => WA");
 SynonymMap updatedSynonymMap = SEARCH_INDEX_CLIENT.createOrUpdateSynonymMap(synonymMap);
 System.out.printf("The synonym map name is %s. The synonyms are %s.%n", updatedSynonymMap.getName(),
     updatedSynonymMap.getSynonyms());

Parameters:

synonymMap - the definition of the synonym map to create or update

Returns:

the synonym map that was created or updated.

createOrUpdateSynonymMapWithResponse

public Response<SynonymMap> createOrUpdateSynonymMapWithResponse(SynonymMap synonymMap, boolean onlyIfUnchanged, Context context)

Creates a new Azure AI Search synonym map or updates a synonym map if it already exists.

Code Sample

Create or update synonym map named "synonymMap".

SynonymMap synonymMap = SEARCH_INDEX_CLIENT.getSynonymMap("synonymMap");
 synonymMap.setSynonyms("United States, United States of America, USA, America\nWashington, Wash. => WA");
 Response<SynonymMap> updatedSynonymMap =
     SEARCH_INDEX_CLIENT.createOrUpdateSynonymMapWithResponse(synonymMap, true,
         new Context(KEY_1, VALUE_1));
 System.out.printf("The status code of the normal response is %s.%n"
         + "The synonym map name is %s. The synonyms are %s.%n", updatedSynonymMap.getStatusCode(),
     updatedSynonymMap.getValue().getName(), updatedSynonymMap.getValue().getSynonyms());

Parameters:

synonymMap - the definition of the synonym map to create or update

onlyIfUnchanged - true to update if the synonymMap is the same as the current service value. false to always update existing value.

context - additional context that is passed through the HTTP pipeline during the service call

Returns:

a response containing the synonym map that was created or updated.

createSynonymMap

public SynonymMap createSynonymMap(SynonymMap synonymMap)

Creates a new Azure AI Search synonym map.

Code Sample

Create synonym map named "synonymMap".

SynonymMap synonymMap = new SynonymMap("synonymMap",
     "United States, United States of America, USA\nWashington, Wash. => WA");
 SynonymMap synonymMapFromService = SEARCH_INDEX_CLIENT.createSynonymMap(synonymMap);
 System.out.printf("The synonym map name is %s. The ETag of synonym map is %s.%n",
     synonymMapFromService.getName(), synonymMapFromService.getETag());

Parameters:

synonymMap - the definition of the synonym map to create

Returns:

the created SynonymMap.

createSynonymMapWithResponse

public Response<SynonymMap> createSynonymMapWithResponse(SynonymMap synonymMap, Context context)

Creates a new Azure AI Search synonym map.

Code Sample

Create synonym map named "synonymMap".

SynonymMap synonymMap = new SynonymMap("synonymMap",
     "United States, United States of America, USA\nWashington, Wash. => WA");
 Response<SynonymMap> synonymMapFromService = SEARCH_INDEX_CLIENT.createSynonymMapWithResponse(synonymMap,
     new Context(KEY_1, VALUE_1));
 System.out.printf("The status code of the response is %d.%n"
         + "The synonym map name is %s. The ETag of synonym map is %s.%n", synonymMapFromService.getStatusCode(),
     synonymMapFromService.getValue().getName(), synonymMapFromService.getValue().getETag());

Parameters:

synonymMap - the definition of the synonym map to create

context - additional context that is passed through the HTTP pipeline during the service call

Returns:

a response containing the created SynonymMap.

deleteAlias

public void deleteAlias(String aliasName)

Deletes the Azure AI Search alias.

Code Sample

Delete the search alias named "my-alias".

SEARCH_INDEX_CLIENT.deleteAlias("my-alias");

 System.out.println("Deleted alias 'my-alias'.");

Parameters:

aliasName - name of the alias to delete.

deleteAliasWithResponse

public Response<Void> deleteAliasWithResponse(SearchAlias alias, boolean onlyIfUnchanged, Context context)

Deletes the Azure AI Search alias.

Code Sample

Delete the search alias named "my-alias".

SearchAlias searchAlias = SEARCH_INDEX_CLIENT.getAlias("my-alias");

 Response<Void> response = SEARCH_INDEX_CLIENT.deleteAliasWithResponse(searchAlias, true,
     new Context(KEY_1, VALUE_1));

 System.out.printf("Response status code %d. Deleted alias 'my-alias'.", response.getStatusCode());

Parameters:

alias - the alias to delete.

onlyIfUnchanged - only delete the alias if the eTag matches the alias on the service.

context - additional context that is passed through the HTTP pipeline during the service call

Returns:

a response indicating the alias has been deleted.

deleteIndex

public void deleteIndex(String indexName)

Deletes an Azure AI Search index and all the documents it contains.

Code Sample

Delete search index with name "searchIndex".

SEARCH_INDEX_CLIENT.deleteIndex("searchIndex");

Parameters:

indexName - the name of the index to delete

deleteIndexWithResponse

public Response<Void> deleteIndexWithResponse(SearchIndex index, boolean onlyIfUnchanged, Context context)

Deletes an Azure AI Search index and all the documents it contains.

Code Sample

Delete search index with name "searchIndex".

SearchIndex indexFromService = SEARCH_INDEX_CLIENT.getIndex("searchIndex");
 Response<Void> deleteResponse = SEARCH_INDEX_CLIENT.deleteIndexWithResponse(indexFromService, true,
     new Context(KEY_1, VALUE_1));
 System.out.printf("The status code of the response is %d.%n", deleteResponse.getStatusCode());

Parameters:

index - the Search SearchIndex to delete.

onlyIfUnchanged - true to delete if the index is the same as the current service value. false to always delete existing value.

context - additional context that is passed through the Http pipeline during the service call

Returns:

a response signalling completion.

deleteKnowledgeBase

public void deleteKnowledgeBase(String knowledgeBaseName)

Deletes an existing agent.

Parameters:

knowledgeBaseName - The name of the agent to delete.

deleteKnowledgeBaseWithResponse

public Response<Void> deleteKnowledgeBaseWithResponse(String knowledgeBaseName, MatchConditions matchConditions, Context context)

Deletes an existing agent.

Parameters:

knowledgeBaseName - The name of the agent to delete.

matchConditions - Defining If-Match and If-None-Match conditions. If null is passed, no conditions will be applied.

context - The context to associate with this operation.

Returns:

the Response<T>.

deleteKnowledgeSource

public void deleteKnowledgeSource(String sourceName)

Deletes an existing knowledge agent.

Parameters:

sourceName - The name of the knowledge source to delete.

deleteKnowledgeSourceWithResponse

public Response<Void> deleteKnowledgeSourceWithResponse(String sourceName, MatchConditions matchConditions, Context context)

Deletes an existing knowledge source.

Parameters:

sourceName - The name of the knowledge source to delete.

matchConditions - Defining If-Match and If-None-Match conditions. If null is passed, no conditions will be applied.

context - The context to associate with this operation.

Returns:

A Response<T> indicating deletion completed.

deleteSynonymMap

public void deleteSynonymMap(String synonymMapName)

Deletes an Azure AI Search synonym map.

Code Sample

Delete synonym map with name "synonymMap".

SEARCH_INDEX_CLIENT.deleteSynonymMap("synonymMap");

Parameters:

synonymMapName - the name of the synonym map to delete

deleteSynonymMapWithResponse

public Response<Void> deleteSynonymMapWithResponse(SynonymMap synonymMap, boolean onlyIfUnchanged, Context context)

Deletes an Azure AI Search synonym map.

Code Sample

Delete synonym map with name "synonymMap".

SynonymMap synonymMap = SEARCH_INDEX_CLIENT.getSynonymMap("synonymMap");
 Response<Void> response = SEARCH_INDEX_CLIENT.deleteSynonymMapWithResponse(synonymMap, true,
     new Context(KEY_1, VALUE_1));
 System.out.println("The status code of the response is" + response.getStatusCode());

Parameters:

synonymMap - the SynonymMap to delete.

onlyIfUnchanged - true to delete if the synonymMap is the same as the current service value. false to always delete existing value.

context - additional context that is passed through the Http pipeline during the service call

Returns:

a response signalling completion.

getAlias

public SearchAlias getAlias(String aliasName)

Gets the Azure AI Search alias.

Code Sample

Get the search alias named "my-alias".

SearchAlias searchAlias = SEARCH_INDEX_CLIENT.getAlias("my-alias");

 System.out.printf("Retrieved alias '%s' that aliases index '%s'.", searchAlias.getName(),
     searchAlias.getIndexes().get(0));

Parameters:

aliasName - name of the alias to get.

Returns:

the retrieved alias.

getAliasWithResponse

public Response<SearchAlias> getAliasWithResponse(String aliasName, Context context)

Gets the Azure AI Search alias.

Code Sample

Get the search alias named "my-alias".

Response<SearchAlias> response = SEARCH_INDEX_CLIENT.getAliasWithResponse("my-alias", new Context(KEY_1, VALUE_1));

 System.out.printf("Response status code %d. Retrieved alias '%s' that aliases index '%s'.",
     response.getStatusCode(), response.getValue().getName(), response.getValue().getIndexes().get(0));

Parameters:

aliasName - name of the alias to get.

context - additional context that is passed through the HTTP pipeline during the service call

Returns:

the retrieved alias.

getEndpoint

public String getEndpoint()

Gets the endpoint for the Azure AI Search service.

Returns:

the endpoint value.

getIndex

public SearchIndex getIndex(String indexName)

Retrieves an index definition from the Azure AI Search.

Code Sample

Get search index with name "searchIndex".

SearchIndex indexFromService =
     SEARCH_INDEX_CLIENT.getIndex("searchIndex");
 System.out.printf("The index name is %s. The ETag of index is %s.%n", indexFromService.getName(),
     indexFromService.getETag());

Parameters:

indexName - the name of the index to retrieve

Returns:

the Index.

getIndexStatistics

public SearchIndexStatistics getIndexStatistics(String indexName)

Returns statistics for the given index, including a document count and storage usage.

Code Sample

Get search index "searchIndex" statistics.

SearchIndexStatistics statistics = SEARCH_INDEX_CLIENT.getIndexStatistics("searchIndex");
 System.out.printf("There are %d documents and storage size of %d available in 'searchIndex'.%n",
     statistics.getDocumentCount(), statistics.getStorageSize());

Parameters:

indexName - the name of the index for which to retrieve statistics

Returns:

the index statistics result.

getIndexStatisticsWithResponse

public Response<SearchIndexStatistics> getIndexStatisticsWithResponse(String indexName, Context context)

Returns statistics for the given index, including a document count and storage usage.

Code Sample

Get search index "searchIndex" statistics.

Response<SearchIndexStatistics> statistics = SEARCH_INDEX_CLIENT.getIndexStatisticsWithResponse("searchIndex",
     new Context(KEY_1, VALUE_1));
 System.out.printf("The status code of the response is %s.%n"
         + "There are %d documents and storage size of %d available in 'searchIndex'.%n",
     statistics.getStatusCode(), statistics.getValue().getDocumentCount(),
     statistics.getValue().getStorageSize());

Parameters:

indexName - the name of the index for which to retrieve statistics

context - additional context that is passed through the HTTP pipeline during the service call

Returns:

a response containing the index statistics result.

getIndexStatsSummary

public PagedIterable<IndexStatisticsSummary> getIndexStatsSummary()

Retrieves a summary of statistics for all indexes in the search service.

Returns:

response from a request to retrieve stats summary of all indexes as paginated response with PagedIterable<T>.

getIndexStatsSummary

public PagedIterable<IndexStatisticsSummary> getIndexStatsSummary(Context context)

Retrieves a summary of statistics for all indexes in the search service.

Parameters:

context - The context to associate with this operation.

Returns:

response from a request to retrieve stats summary of all indexes as paginated response with PagedResponse.

getIndexWithResponse

public Response<SearchIndex> getIndexWithResponse(String indexName, Context context)

Retrieves an index definition from the Azure AI Search.

Code Sample

Get search index with "searchIndex.

Response<SearchIndex> indexFromServiceResponse =
     SEARCH_INDEX_CLIENT.getIndexWithResponse("searchIndex", new Context(KEY_1, VALUE_1));

 System.out.printf("The status code of the response is %s. The index name is %s.%n",
     indexFromServiceResponse.getStatusCode(), indexFromServiceResponse.getValue().getName());

Parameters:

indexName - the name of the index to retrieve

context - additional context that is passed through the HTTP pipeline during the service call

Returns:

a response containing the Index.

getKnowledgeBase

public KnowledgeBase getKnowledgeBase(String knowledgeBaseName)

Retrieves an agent definition.

Parameters:

knowledgeBaseName - The name of the agent to retrieve.

Returns:

the response.

getKnowledgeBaseWithResponse

public Response<KnowledgeBase> getKnowledgeBaseWithResponse(String knowledgeBaseName, Context context)

Retrieves an agent definition.

Parameters:

knowledgeBaseName - The name of the agent to retrieve.

context - The context to associate with this operation.

Returns:

the response body along with Response<T>.

getKnowledgeSource

public KnowledgeSource getKnowledgeSource(String sourceName)

Retrieves a knowledge source definition.

Parameters:

sourceName - The name of the knowledge source to retrieve.

Returns:

The retrieved knowledge source.

getKnowledgeSourceWithResponse

public Response<KnowledgeSource> getKnowledgeSourceWithResponse(String sourceName, Context context)

Retrieves a knowledge source definition.

Parameters:

sourceName - The name of the knowledge source to retrieve.

context - The context to associate with this operation.

Returns:

A Response<T> containing the retrieved knowledge source.

getSearchClient

public SearchClient getSearchClient(String indexName)

Initializes a new SearchClient using the given Index name and the same configuration as the SearchServiceClient.

Parameters:

indexName - the name of the Index for the client

Returns:

a SearchClient created from the service client configuration

getServiceStatistics

public SearchServiceStatistics getServiceStatistics()

Returns service level statistics for a search service, including service counters and limits.

Code Sample

Get service statistics.

SearchServiceStatistics serviceStatistics = SEARCH_INDEX_CLIENT.getServiceStatistics();
 System.out.printf("There are %s search indexes in your service.%n",
     serviceStatistics.getCounters().getIndexCounter());

Returns:

the search service statistics result.

getServiceStatisticsWithResponse

public Response<SearchServiceStatistics> getServiceStatisticsWithResponse(Context context)

Returns service level statistics for a search service, including service counters and limits.

Code Sample

Get service statistics.

Response<SearchServiceStatistics> serviceStatistics =
     SEARCH_INDEX_CLIENT.getServiceStatisticsWithResponse(new Context(KEY_1, VALUE_1));
 System.out.printf("The status code of the response is %s.%nThere are %s search indexes in your service.%n",
     serviceStatistics.getStatusCode(),
     serviceStatistics.getValue().getCounters().getIndexCounter());

Parameters:

context - additional context that is passed through the HTTP pipeline during the service call

Returns:

the search service statistics result.

getSynonymMap

public SynonymMap getSynonymMap(String synonymMapName)

Retrieves a synonym map definition.

Code Sample

Get synonym map with name "synonymMap".

SynonymMap synonymMapFromService =
     SEARCH_INDEX_CLIENT.getSynonymMap("synonymMap");
 System.out.printf("The synonym map is %s. The ETag of synonym map is %s.%n", synonymMapFromService.getName(),
     synonymMapFromService.getETag());

Parameters:

synonymMapName - name of the synonym map to retrieve

Returns:

the SynonymMap definition

getSynonymMapWithResponse

public Response<SynonymMap> getSynonymMapWithResponse(String synonymMapName, Context context)

Retrieves a synonym map definition.

Code Sample

Get synonym map with name "synonymMap".

Response<SynonymMap> synonymMapFromService =
     SEARCH_INDEX_CLIENT.getSynonymMapWithResponse("synonymMap", new Context(KEY_1, VALUE_1));
 System.out.printf("The status code of the response is %d.%n"
         + "The synonym map name is %s. The ETag of synonym map is %s.%n", synonymMapFromService.getStatusCode(),
     synonymMapFromService.getValue().getName(), synonymMapFromService.getValue().getETag());

Parameters:

synonymMapName - name of the synonym map to retrieve

context - a context that is passed through the HTTP pipeline during the service call

Returns:

a response containing the SynonymMap.

listAliases

public PagedIterable<SearchAlias> listAliases()

Lists all aliases in the Azure AI Search service.

Code Sample

List aliases

SEARCH_INDEX_CLIENT.listAliases()
     .forEach(searchAlias -> System.out.printf("Listed alias '%s' that aliases index '%s'.",
         searchAlias.getName(), searchAlias.getIndexes().get(0)));

Returns:

a list of aliases in the service.

listAliases

public PagedIterable<SearchAlias> listAliases(Context context)

Lists all aliases in the Azure AI Search service.

Code Sample

List aliases

SEARCH_INDEX_CLIENT.listAliases(new Context(KEY_1, VALUE_1))
     .forEach(searchAlias -> System.out.printf("Listed alias '%s' that aliases index '%s'.",
         searchAlias.getName(), searchAlias.getIndexes().get(0)));

Parameters:

context - additional context that is passed through the HTTP pipeline during the service call

Returns:

a list of aliases in the service.

listIndexes

public PagedIterable<SearchIndex> listIndexes()

Lists all indexes available for an Azure AI Search service.

Code Sample

List all search indexes.

PagedIterable<SearchIndex> indexes = SEARCH_INDEX_CLIENT.listIndexes();
 for (SearchIndex index: indexes) {
     System.out.printf("The index name is %s. The ETag of index is %s.%n", index.getName(),
         index.getETag());
 }

Returns:

the list of indexes.

listIndexes

public PagedIterable<SearchIndex> listIndexes(Context context)

Lists all indexes available for an Azure AI Search service.

Code Sample

List all search indexes.

PagedIterable<SearchIndex> indexes = SEARCH_INDEX_CLIENT.listIndexes(new Context(KEY_1, VALUE_1));
 System.out.println("The status code of the response is"
     + indexes.iterableByPage().iterator().next().getStatusCode());
 for (SearchIndex index: indexes) {
     System.out.printf("The index name is %s. The ETag of index is %s.%n", index.getName(), index.getETag());
 }

Parameters:

context - additional context that is passed through the HTTP pipeline during the service call

Returns:

the list of indexes.

listIndexNames

public PagedIterable<String> listIndexNames()

Lists all index names for an Azure AI Search service.

Code Sample

List all search indexes names.

PagedIterable<String> indexes = SEARCH_INDEX_CLIENT.listIndexNames();
 for (String indexName: indexes) {
     System.out.printf("The index name is %s.%n", indexName);
 }

Returns:

the list of index names.

listIndexNames

public PagedIterable<String> listIndexNames(Context context)

Lists all indexes names for an Azure AI Search service.

Code Sample

List all search indexes names.

PagedIterable<String> indexes = SEARCH_INDEX_CLIENT.listIndexNames(new Context(KEY_1, VALUE_1));
 System.out.println("The status code of the response is"
     + indexes.iterableByPage().iterator().next().getStatusCode());
 for (String indexName: indexes) {
     System.out.printf("The index name is %s.%n", indexName);
 }

Parameters:

context - additional context that is passed through the HTTP pipeline during the service call

Returns:

the list of index names.

listKnowledgeBases

public PagedIterable<KnowledgeBase> listKnowledgeBases()

Lists all knowledgebases available for a search service.

Returns:

the paginated response with PagedIterable<T>.

listKnowledgeBases

public PagedIterable<KnowledgeBase> listKnowledgeBases(Context context)

Lists all knowledgebases available for a search service.

Parameters:

context - The context to associate with this operation.

Returns:

the paginated response with PagedIterable<T>.

listKnowledgeSources

public PagedIterable<KnowledgeSource> listKnowledgeSources()

Lists all knowledge sources available for a search service.

Returns:

A PagedIterable<T> of knowledge sources.

listKnowledgeSources

public PagedIterable<KnowledgeSource> listKnowledgeSources(Context context)

Lists all knowledge sources available for a search service.

Parameters:

context - The context to associate with this operation.

Returns:

A PagedIterable<T> of knowledge sources.

listSynonymMapNames

public PagedIterable<String> listSynonymMapNames()

Lists all synonym maps names for an Azure AI Search service.

Code Sample

List all synonym map names.

PagedIterable<String> synonymMaps = SEARCH_INDEX_CLIENT.listSynonymMapNames();
 for (String synonymMap: synonymMaps) {
     System.out.printf("The synonymMap name is %s.%n", synonymMap);
 }

Returns:

the list of synonym maps.

listSynonymMapNames

public PagedIterable<String> listSynonymMapNames(Context context)

Lists all synonym maps names for an Azure AI Search service.

Code Sample

List all synonym map names.

PagedIterable<String> synonymMaps = SEARCH_INDEX_CLIENT.listIndexNames(new Context(KEY_1, VALUE_1));
 System.out.println("The status code of the response is"
     + synonymMaps.iterableByPage().iterator().next().getStatusCode());
 for (String synonymMapNames: synonymMaps) {
     System.out.printf("The synonymMap name is %s.%n", synonymMapNames);
 }

Parameters:

context - additional context that is passed through the HTTP pipeline during the service call

Returns:

the list of synonym map names.

listSynonymMaps

public PagedIterable<SynonymMap> listSynonymMaps()

Lists all synonym maps available for an Azure AI Search service.

Code Sample

List all synonym maps.

PagedIterable<SynonymMap> synonymMaps = SEARCH_INDEX_CLIENT.listSynonymMaps();
 for (SynonymMap synonymMap: synonymMaps) {
     System.out.printf("The synonymMap name is %s. The ETag of synonymMap is %s.%n", synonymMap.getName(),
         synonymMap.getETag());
 }

Returns:

the list of synonym maps.

listSynonymMaps

public PagedIterable<SynonymMap> listSynonymMaps(Context context)

Lists all synonym maps available for an Azure AI Search service.

Code Sample

List all synonym maps.

PagedIterable<SynonymMap> synonymMaps = SEARCH_INDEX_CLIENT.listSynonymMaps(new Context(KEY_1, VALUE_1));
 System.out.println("The status code of the response is"
     + synonymMaps.iterableByPage().iterator().next().getStatusCode());
 for (SynonymMap index: synonymMaps) {
     System.out.printf("The index name is %s. The ETag of index is %s.%n", index.getName(), index.getETag());
 }

Parameters:

context - additional context that is passed through the HTTP pipeline during the service call

Returns:

the list of synonym map names.

Applies to

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