azure.search.documents.indexes.aio package

class azure.search.documents.indexes.aio.SearchIndexClient(endpoint: str, credential: AzureKeyCredential | AsyncTokenCredential, **kwargs)[source]

A client to interact with Azure search service Indexes.

Parameters:

endpoint (str) – The URL endpoint of an Azure search service
credential (AzureKeyCredential or AsyncTokenCredential) – A credential to authorize search client requests

Keyword Arguments:

api_version (str) – The Search API version to use for requests.
audience (str) – sets the Audience to use for authentication with Azure Active Directory (AAD). The audience is not considered when using a shared key. If audience is not provided, the public cloud audience will be assumed.

async analyze_text(index_name: str, analyze_request: AnalyzeTextOptions, **kwargs: Any) → AnalyzeResult[source]

Shows how an analyzer breaks text into tokens.

Parameters:

index_name (str) – The name of the index for which to test an analyzer.
analyze_request (AnalyzeTextOptions) – The text and analyzer or analysis components to test.

Returns:

AnalyzeResult

Return type:

AnalyzeRequest

Raises:

HttpResponseError – If the operation fails.

Example:

Analyze text

from azure.core.credentials import AzureKeyCredential
from azure.search.documents.indexes.aio import SearchIndexClient
from azure.search.documents.indexes.models import AnalyzeTextOptions

client = SearchIndexClient(service_endpoint, AzureKeyCredential(key))

analyze_request = AnalyzeTextOptions(text="One's <two/>", analyzer_name="standard.lucene")

async with client:
    result = await client.analyze_text(index_name, analyze_request)
    print(result.as_dict())

async close() → None[source]

Close the session.

Returns:: None
Return type:: None

async create_alias(alias: SearchAlias, **kwargs: Any) → SearchAlias[source]

Creates a new search alias.

Parameters:: alias (SearchAlias) – The alias object.
Returns:: The alias created
Return type:: SearchAlias
Raises:: HttpResponseError – If the operation fails.

Example:

Create an alias.

alias = SearchAlias(name=alias_name, indexes=[index_name])
result = await client.create_alias(alias)

async create_index(index: SearchIndex, **kwargs: Any) → SearchIndex[source]

Creates a new search index.

Parameters:: index (SearchIndex) – The index object.
Returns:: The index created
Return type:: SearchIndex
Raises:: HttpResponseError – If the operation fails.

Example:

Creating a new index.

client = SearchIndexClient(service_endpoint, AzureKeyCredential(key))
name = "hotels"
fields = [
    SimpleField(name="hotelId", type=SearchFieldDataType.String, key=True),
    SimpleField(name="hotelName", type=SearchFieldDataType.String, searchable=True),
    SimpleField(name="baseRate", type=SearchFieldDataType.Double),
    SearchableField(name="description", type=SearchFieldDataType.String, collection=True),
    ComplexField(
        name="address",
        fields=[
            SimpleField(name="streetAddress", type=SearchFieldDataType.String),
            SimpleField(name="city", type=SearchFieldDataType.String),
        ],
        collection=True,
    ),
]

cors_options = CorsOptions(allowed_origins=["*"], max_age_in_seconds=60)
scoring_profiles: List[ScoringProfile] = []
index = SearchIndex(name=name, fields=fields, scoring_profiles=scoring_profiles, cors_options=cors_options)

result = await client.create_index(index)
await client.close()

async create_or_update_alias(alias: SearchAlias, *, match_condition: MatchConditions = MatchConditions.Unconditionally, **kwargs: Any) → SearchAlias[source]

Creates a new search alias or updates an alias if it already exists.

Parameters:

alias (SearchAlias) – The definition of the alias to create or update.

Keyword Arguments:

match_condition (MatchConditions) – The match condition to use upon the etag

Returns:

The index created or updated

Return type:

SearchAlias

Raises:

ResourceNotFoundError – If the alias doesn’t exist.
ResourceModifiedError – If the alias has been modified.
ResourceNotModifiedError – If the alias has not been modified.
ResourceNotFoundError – If the alias is not found.
ResourceExistsError – If the alias already exists.

Example:

Update an alias.

new_index_name = "hotels"
fields = [
    SimpleField(name="hotelId", type=SearchFieldDataType.String, key=True),
    SimpleField(name="baseRate", type=SearchFieldDataType.Double),
    SearchableField(name="description", type=SearchFieldDataType.String, collection=True),
    SearchableField(name="hotelName", type=SearchFieldDataType.String),
    ComplexField(
        name="address",
        fields=[
            SimpleField(name="streetAddress", type=SearchFieldDataType.String),
            SimpleField(name="city", type=SearchFieldDataType.String),
            SimpleField(name="state", type=SearchFieldDataType.String),
        ],
        collection=True,
    ),
]
cors_options = CorsOptions(allowed_origins=["*"], max_age_in_seconds=60)
scoring_profile = ScoringProfile(name="MyProfile")
scoring_profiles = []
scoring_profiles.append(scoring_profile)
index = SearchIndex(
    name=new_index_name, fields=fields, scoring_profiles=scoring_profiles, cors_options=cors_options
)

result_index = await client.create_or_update_index(index=index)

alias = SearchAlias(name=alias_name, indexes=[new_index_name])
result = await client.create_or_update_alias(alias)

async create_or_update_index(index: SearchIndex, allow_index_downtime: bool | None = None, *, match_condition: MatchConditions = MatchConditions.Unconditionally, **kwargs: Any) → SearchIndex[source]

Creates a new search index or updates an index if it already exists.

Parameters:

index (SearchIndex) – The index object.
allow_index_downtime (bool) – 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.

Keyword Arguments:

match_condition (MatchConditions) – The match condition to use upon the etag

Returns:

The index created or updated

Return type:

SearchIndex

Raises:

ResourceNotFoundError – If the index doesn’t exist.
ResourceModifiedError – If the index has been modified.
ResourceNotModifiedError – If the index has not been modified.
ResourceNotFoundError – If the index is not found.
ResourceExistsError – If the index already exists.

Example:

Update an index.

client = SearchIndexClient(service_endpoint, AzureKeyCredential(key))
name = "hotels"
fields = [
    SimpleField(name="hotelId", type=SearchFieldDataType.String, key=True),
    SimpleField(name="hotelName", type=SearchFieldDataType.String, searchable=True),
    SimpleField(name="baseRate", type=SearchFieldDataType.Double),
    SearchableField(name="description", type=SearchFieldDataType.String, collection=True),
    ComplexField(
        name="address",
        fields=[
            SimpleField(name="streetAddress", type=SearchFieldDataType.String),
            SimpleField(name="city", type=SearchFieldDataType.String),
            SimpleField(name="state", type=SearchFieldDataType.String),
        ],
        collection=True,
    ),
]

cors_options = CorsOptions(allowed_origins=["*"], max_age_in_seconds=60)
scoring_profile = ScoringProfile(name="MyProfile")
scoring_profiles = []
scoring_profiles.append(scoring_profile)
index = SearchIndex(name=name, fields=fields, scoring_profiles=scoring_profiles, cors_options=cors_options)

result = await client.create_or_update_index(index=index)
await client.close()

async create_or_update_synonym_map(synonym_map: SynonymMap, *, match_condition: MatchConditions = MatchConditions.Unconditionally, **kwargs: Any) → SynonymMap[source]

Create a new Synonym Map in an Azure Search service, or update an existing one.

Parameters:: synonym_map (SynonymMap) – The Synonym Map object
Keyword Arguments:: match_condition (MatchConditions) – The match condition to use upon the etag
Returns:: The created or updated Synonym Map
Return type:: SynonymMap

async create_synonym_map(synonym_map: SynonymMap, **kwargs: Any) → SynonymMap[source]

Create a new Synonym Map in an Azure Search service

Parameters:: synonym_map (SynonymMap) – The Synonym Map object
Returns:: The created Synonym Map
Return type:: SynonymMap

Example:

Create a Synonym Map

synonyms = [
    "USA, United States, United States of America",
    "Washington, Wash. => WA",
]
synonym_map = SynonymMap(name="test-syn-map", synonyms=synonyms)
result = await client.create_synonym_map(synonym_map)
print("Create new Synonym Map 'test-syn-map succeeded")

async delete_alias(alias: str | SearchAlias, *, match_condition: MatchConditions = MatchConditions.Unconditionally, **kwargs: Any) → None[source]

Deletes a search alias and its associated mapping to an index. This operation is permanent, with no recovery option. The mapped index is untouched by this operation

Parameters:: alias (str or SearchAlias) – The alias name or object to delete.
Keyword Arguments:: match_condition () – The match condition to use upon the etag

Example:

Delete an alias.

await client.delete_alias(alias_name)

async delete_index(index: str | SearchIndex, *, match_condition: MatchConditions = MatchConditions.Unconditionally, **kwargs: Any) → None[source]

Deletes a search index and all the documents it contains. The model must be provided instead of the name to use the access conditions

Parameters:: index (str or SearchIndex) – The index name or object to delete.
Keyword Arguments:: match_condition (MatchConditions) – The match condition to use upon the etag
Raises:: HttpResponseError – If the operation fails.

Example:

Delete an index.

client = SearchIndexClient(service_endpoint, AzureKeyCredential(key))
name = "hotels"
await client.delete_index(name)
await client.close()

async delete_synonym_map(synonym_map: str | SynonymMap, *, match_condition: MatchConditions = MatchConditions.Unconditionally, **kwargs: Any) → None[source]

Delete a named Synonym Map in an Azure Search service. To use access conditions, the SynonymMap model must be provided instead of the name. It is enough to provide the name of the synonym map to delete unconditionally.

Parameters:: synonym_map (str or SynonymMap) – The synonym map name or object to delete
Keyword Arguments:: match_condition (MatchConditions) – The match condition to use upon the etag

Example:

Delete a Synonym Map

await client.delete_synonym_map("test-syn-map")
print("Synonym Map 'test-syn-map' deleted")

async get_alias(name: str, **kwargs) → SearchAlias[source]

Retrieve a named alias in an Azure Search service

Parameters:: name (str) – The name of the alias to retrieve.
Returns:: SearchAlias object
Return type:: SearchAlias
Raises:: HttpResponseError – If the operation fails.

async get_index(name: str, **kwargs: Any) → SearchIndex[source]

Retrieve a named index in an Azure Search service

Parameters:: name (str) – The name of the index to retrieve.
Returns:: SearchIndex object
Return type:: SearchIndex
Raises:: HttpResponseError – If the operation fails.

Example:

Get an index.

client = SearchIndexClient(service_endpoint, AzureKeyCredential(key))
name = "hotels"
result = await client.get_index(name)
await client.close()

async get_index_statistics(index_name: str, **kwargs: Any) → MutableMapping[str, Any][source]

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

Parameters:: index_name (str) – The name of the index to retrieve.
Returns:: Statistics for the given index, including a document count and storage usage.
Return type:: Dict
Raises:: HttpResponseError – If the operation fails.

get_search_client(index_name: str, **kwargs: Any) → SearchClient[source]

Return a client to perform operations on Search.

Parameters:: index_name (str) – The name of the Search Index
Returns:: SearchClient
Return type:: SearchClient

async get_service_statistics(**kwargs) → MutableMapping[str, Any][source]

Get service level statistics for a search service.

Returns:: Service statistics result
Return type:: dict

async get_synonym_map(name: str, **kwargs: Any) → SynonymMap[source]

Retrieve a named Synonym Map in an Azure Search service

Parameters:: name (str) – The name of the Synonym Map to get
Returns:: The retrieved Synonym Map
Return type:: SynonymMap
Raises:: ResourceNotFoundError – If the Synonym Map doesn’t exist.

Example:

Get a Synonym Map

result = await client.get_synonym_map("test-syn-map")
print("Retrived Synonym Map 'test-syn-map' with synonyms")
if result:
    for syn in result.synonyms:
        print("    {}".format(syn))

async get_synonym_map_names(**kwargs: Any) → List[str][source]

List the Synonym Map names in an Azure Search service.

Returns:: List of synonym map names
Return type:: List[str]
Raises:: HttpResponseError – If the operation fails.

async get_synonym_maps(*, select: List[str] | None = None, **kwargs) → List[SynonymMap][source]

List the Synonym Maps in an Azure Search service.

Keyword Arguments:: select (List[str]) – Selects which top-level properties of the skillsets to retrieve. Specified as a list of JSON property names, or ‘*’ for all properties. The default is all properties.
Returns:: List of synonym maps
Return type:: List[SynonymMap]
Raises:: HttpResponseError – If the operation fails.

Example:

List Synonym Maps

result = await client.get_synonym_maps()
names = [x.name for x in result]
print("Found {} Synonym Maps in the service: {}".format(len(result), ", ".join(names)))

list_alias_names(**kwargs) → AsyncItemPaged[str][source]

List the alias names in an Azure Search service.

Returns:: List of alias names
Return type:: AsyncItemPaged[str]
Raises:: HttpResponseError – If the operation fails.

list_aliases(*, select: List[str] | None = None, **kwargs) → AsyncItemPaged[SearchAlias][source]

List the aliases in an Azure Search service.

Keyword Arguments:: select (list[str]) – Selects which top-level properties of the skillsets to retrieve. Specified as a list of JSON property names, or ‘*’ for all properties. The default is all properties.
Returns:: List of Aliases
Return type:: AsyncItemPaged[SearchAlias]
Raises:: HttpResponseError – If the operation fails.

list_index_names(**kwargs: Any) → AsyncItemPaged[str][source]

List the index names in an Azure Search service.

Returns:: List of index names
Return type:: AsyncItemPaged[str]
Raises:: HttpResponseError – If the operation fails.

list_index_stats_summary(**kwargs: Any) → AsyncItemPaged[IndexStatisticsSummary][source]

Get index level statistics for a search service.

Returns:: Index statistics result.
Return type:: AsyncItemPaged[IndexStatisticsSummary]

list_indexes(*, select: List[str] | None = None, **kwargs) → AsyncItemPaged[SearchIndex][source]

List the indexes in an Azure Search service.

Keyword Arguments:: select (list[str]) – Selects which top-level properties of the skillsets to retrieve. Specified as a list of JSON property names, or ‘*’ for all properties. The default is all properties.
Returns:: List of indexes
Return type:: AsyncItemPaged[SearchIndex]
Raises:: HttpResponseError – If the operation fails.

async send_request(request: HttpRequest, *, stream: bool = False, **kwargs) → AsyncHttpResponse[source]

Runs a network request using the client’s existing pipeline.

Parameters:: request (HttpRequest) – The network request you want to make.
Keyword Arguments:: stream (bool) – Whether the response payload will be streamed. Defaults to False.
Returns:: The response of your network call. Does not do error handling on your response.
Return type:: AsyncHttpResponse

class azure.search.documents.indexes.aio.SearchIndexerClient(endpoint: str, credential: AzureKeyCredential | AsyncTokenCredential, **kwargs)[source]

A client to interact with Azure search service Indexers.

Parameters:

endpoint (str) – The URL endpoint of an Azure search service
credential (AzureKeyCredential or AsyncTokenCredential) – A credential to authorize search client requests

Keyword Arguments:

api_version (str) – The Search API version to use for requests.
audience (str) – sets the Audience to use for authentication with Azure Active Directory (AAD). The audience is not considered when using a shared key. If audience is not provided, the public cloud audience will be assumed.

async close() → None[source]

Close the session.

Returns:: None
Return type:: None

async create_data_source_connection(data_source_connection: SearchIndexerDataSourceConnection, **kwargs: Any) → SearchIndexerDataSourceConnection[source]

Creates a new data source connection.

Parameters:: data_source_connection (SearchIndexerDataSourceConnection) – The definition of the data source connection to create.
Returns:: The created SearchIndexerDataSourceConnection
Return type:: SearchIndexerDataSourceConnection

Example:

Create a SearchIndexerDataSourceConnection

container = SearchIndexerDataContainer(name="searchcontainer")
data_source = SearchIndexerDataSourceConnection(
    name="async-sample-data-source-connection",
    type="azureblob",
    connection_string=connection_string,
    container=container,
)
result = await client.create_data_source_connection(data_source)
print("Create new Data Source Connection - async-sample-data-source-connection")

async create_indexer(indexer: SearchIndexer, **kwargs: Any) → SearchIndexer[source]

Creates a new SearchIndexer.

Parameters:: indexer (SearchIndexer) – The definition of the indexer to create.
Returns:: The created SearchIndexer
Return type:: SearchIndexer

Example:

Create a SearchIndexer

# create a datasource
container = SearchIndexerDataContainer(name="searchcontainer")
data_source_connection = SearchIndexerDataSourceConnection(
    name="async-indexer-datasource", type="azureblob", connection_string=connection_string, container=container
)
data_source = await indexers_client.create_data_source_connection(data_source_connection)

# create an indexer
indexer = SearchIndexer(
    name="async-sample-indexer",
    data_source_name="async-indexer-datasource",
    target_index_name="async-indexer-hotels",
)
result = await indexers_client.create_indexer(indexer)
print("Create new Indexer - async-sample-indexer")

async create_or_update_data_source_connection(data_source_connection: SearchIndexerDataSourceConnection, *, match_condition: MatchConditions = MatchConditions.Unconditionally, skip_indexer_reset_requirement_for_cache: bool | None = None, **kwargs: Any) → SearchIndexerDataSourceConnection[source]

Creates a new data source connection or updates a data source connection if it already exists.

Parameters:

data_source_connection (SearchIndexerDataSourceConnection) – The definition of the data source connection to create or update.

Keyword Arguments:

match_condition (MatchConditions) – The match condition to use upon the etag
skip_indexer_reset_requirement_for_cache (bool) – Ignores cache reset requirements.

Returns:

The created SearchIndexerDataSourceConnection

Return type:

SearchIndexerDataSourceConnection

async create_or_update_indexer(indexer: SearchIndexer, *, match_condition: MatchConditions = MatchConditions.Unconditionally, skip_indexer_reset_requirement_for_cache: bool | None = None, disable_cache_reprocessing_change_detection: bool | None = None, **kwargs: Any) → SearchIndexer[source]

Creates a new indexer or updates a indexer if it already exists.

Parameters:

indexer (SearchIndexer) – The definition of the indexer to create or update.

Keyword Arguments:

match_condition (MatchConditions) – The match condition to use upon the etag
skip_indexer_reset_requirement_for_cache (bool) – Ignores cache reset requirements.
disable_cache_reprocessing_change_detection (bool) – Disables cache reprocessing change detection.

Returns:

The created SearchIndexer

Return type:

SearchIndexer

async create_or_update_skillset(skillset: SearchIndexerSkillset, *, match_condition: MatchConditions = MatchConditions.Unconditionally, skip_indexer_reset_requirement_for_cache: bool | None = None, disable_cache_reprocessing_change_detection: bool | None = None, **kwargs: Any) → SearchIndexerSkillset[source]

Create a new SearchIndexerSkillset in an Azure Search service, or update an existing one.

Parameters:

skillset (SearchIndexerSkillset) – The SearchIndexerSkillset object to create or update

Keyword Arguments:

match_condition (MatchConditions) – The match condition to use upon the etag
skip_indexer_reset_requirement_for_cache (bool) – Ignores cache reset requirements.
disable_cache_reprocessing_change_detection (bool) – Disables cache reprocessing change detection.

Returns:

The created or updated SearchIndexerSkillset

Return type:

SearchIndexerSkillset

async create_skillset(skillset: SearchIndexerSkillset, **kwargs: Any) → SearchIndexerSkillset[source]

Create a new SearchIndexerSkillset in an Azure Search service

Parameters:: skillset (SearchIndexerSkillset) – The SearchIndexerSkillset object to create
Returns:: The created SearchIndexerSkillset
Return type:: SearchIndexerSkillset

async delete_data_source_connection(data_source_connection: str | SearchIndexerDataSourceConnection, *, match_condition: MatchConditions = MatchConditions.Unconditionally, **kwargs: Any) → None[source]

Deletes a data source connection. To use access conditions, the SearchIndexerDataSourceConnection model must be provided instead of the name. It is enough to provide the name of the data source connection to delete unconditionally

Parameters:: data_source_connection (str or SearchIndexerDataSourceConnection) – The data source connection to delete.
Keyword Arguments:: match_condition (MatchConditions) – The match condition to use upon the etag

Example:

Delete a SearchIndexerDataSourceConnection

await client.delete_data_source_connection("async-sample-data-source-connection")
print("Data Source Connection 'async-sample-data-source-connection' successfully deleted")

async delete_indexer(indexer: str | SearchIndexer, *, match_condition: MatchConditions = MatchConditions.Unconditionally, **kwargs: Any) → None[source]

Deletes an indexer. To use access conditions, the SearchIndexer model must be provided instead of the name. It is enough to provide the name of the indexer to delete unconditionally.

Parameters:: indexer (str or SearchIndexer) – The name or the indexer object to delete.
Keyword Arguments:: match_condition (MatchConditions) – The match condition to use upon the etag

Example:

Delete a SearchIndexer

await indexers_client.delete_indexer("async-sample-indexer")
print("Indexer 'async-sample-indexer' successfully deleted")

async delete_skillset(skillset: str | SearchIndexerSkillset, *, match_condition: MatchConditions = MatchConditions.Unconditionally, **kwargs: Any) → None[source]

Delete a named SearchIndexerSkillset in an Azure Search service. To use access conditions, the SearchIndexerSkillset model must be provided instead of the name. It is enough to provide the name of the skillset to delete unconditionally

Parameters:: skillset (str or SearchIndexerSkillset) – The SearchIndexerSkillset to delete
Keyword Arguments:: match_condition (MatchConditions) – The match condition to use upon the etag

async get_data_source_connection(name: str, *, select: List[str] | None = None, **kwargs: Any) → SearchIndexerDataSourceConnection[source]

Retrieves a data source connection definition.

Keyword Arguments:

select (list[str]) – Selects which top-level properties of the skillsets to retrieve. Specified as a list of JSON property names, or ‘*’ for all properties. The default is all properties.

Parameters:

name (str) – The name of the data source connection to retrieve.

Returns:

The SearchIndexerDataSourceConnection that is fetched.

Return type:

~azure.search.documents.indexes.models.SearchIndexerDataSourceConnection

Retrieve a SearchIndexerDataSourceConnection

result = await client.get_data_source_connection("async-sample-data-source-connection")
print("Retrived Data Source Connection 'async-sample-data-source-connection'")
return result

async get_data_source_connection_names(**kwargs) → Sequence[str][source]

Lists all data source connection names available for a search service.

Returns:: List of all the data source connection names.
Return type:: list[str]

async get_data_source_connections(**kwargs: Any) → Sequence[SearchIndexerDataSourceConnection][source]

Lists all data source connections available for a search service.

Returns:: List of all the data source connections.
Return type:: list[SearchIndexerDataSourceConnection]

Example:

List all SearchIndexerDataSourceConnections

result = await client.get_data_source_connections()
names = [x.name for x in result]
print("Found {} Data Source Connections in the service: {}".format(len(result), ", ".join(names)))

async get_indexer(name: str, **kwargs: Any) → SearchIndexer[source]

Retrieves a indexer definition.

Parameters:: name (str) – The name of the indexer to retrieve.
Returns:: The SearchIndexer that is fetched.
Return type:: SearchIndexer

Example:

Retrieve a SearchIndexer

result = await indexers_client.get_indexer("async-sample-indexer")
print("Retrived Indexer 'async-sample-indexer'")
return result

async get_indexer_names(**kwargs) → Sequence[str][source]

Lists all indexer names available for a search service.

Returns:: List of all the SearchIndexer names.
Return type:: list[str]

async get_indexer_status(name: str, **kwargs: Any) → SearchIndexerStatus[source]

Get the status of the indexer.

Parameters:: name (str) – The name of the indexer to fetch the status.
Returns:: SearchIndexerStatus
Return type:: SearchIndexerStatus

Example:

Get a SearchIndexer’s status

result = await indexers_client.get_indexer_status("async-sample-indexer")
print("Retrived Indexer status for 'async-sample-indexer'")
return result

async get_indexers(*, select: List[str] | None = None, **kwargs) → Sequence[SearchIndexer][source]

Lists all indexers available for a search service.

Keyword Arguments:: select (list[str]) – Selects which top-level properties of the skillsets to retrieve. Specified as a list of JSON property names, or ‘*’ for all properties. The default is all properties.
Returns:: List of all the SearchIndexers.
Return type:: list[~azure.search.documents.indexes.models.SearchIndexer]

Example:

List all the SearchIndexers

result = await indexers_client.get_indexers()
names = [x.name for x in result]
print("Found {} Indexers in the service: {}".format(len(result), ", ".join(names)))

async get_skillset(name: str, **kwargs) → SearchIndexerSkillset[source]

Retrieve a named SearchIndexerSkillset in an Azure Search service

Parameters:: name (str) – The name of the SearchIndexerSkillset to get
Returns:: The retrieved SearchIndexerSkillset
Return type:: SearchIndexerSkillset
Raises:: ResourceNotFoundError – If the skillset doesn’t exist.

async get_skillset_names(**kwargs) → List[str][source]

List the SearchIndexerSkillset names in an Azure Search service.

Returns:: List of SearchIndexerSkillset names
Return type:: list[str]
Raises:: HttpResponseError – If there is an error in the REST request.

async get_skillsets(*, select: List[str] | None = None, **kwargs) → List[SearchIndexerSkillset][source]

List the SearchIndexerSkillsets in an Azure Search service.

Keyword Arguments:: select (list[str]) – Selects which top-level properties of the skillsets to retrieve. Specified as a list of JSON property names, or ‘*’ for all properties. The default is all properties.
Returns:: List of SearchIndexerSkillsets
Return type:: list[SearchIndexerSkillset]
Raises:: HttpResponseError – If there is an error in the REST request.

async reset_documents(indexer: str | SearchIndexer, keys_or_ids: DocumentKeysOrIds, *, overwrite: bool = False, **kwargs: Any) → None[source]

Resets specific documents in the datasource to be selectively re-ingested by the indexer.

Parameters:

indexer (str or SearchIndexer) – The indexer to reset documents for.
keys_or_ids (DocumentKeysOrIds)

Returns:

None, or the result of cls(response)

Keyword Arguments:

overwrite (bool) – If false, keys or ids will be appended to existing ones. If true, only the keys or ids in this payload will be queued to be re-ingested. The default is false.

Return type:

None

Raises:

HttpResponseError – If there is an error in the REST request.

async reset_indexer(name: str, **kwargs: Any) → None[source]

Resets the change tracking state associated with an indexer.

Parameters:: name (str) – The name of the indexer to reset.

Example:

Reset a SearchIndexer’s change tracking state

await indexers_client.reset_indexer("async-sample-indexer")
print("Reset the Indexer 'async-sample-indexer'")
return

async reset_skills(skillset: str | SearchIndexerSkillset, skill_names: List[str], **kwargs) → None[source]

Reset an existing skillset in a search service.

Parameters:

skillset (str or SearchIndexerSkillset) – The SearchIndexerSkillset to reset
skill_names (List[str]) – the names of skills to be reset.

Returns:

None, or the result of cls(response)

Return type:

None

Raises:

HttpResponseError – If there is an error in the REST request.

async run_indexer(name: str, **kwargs: Any) → None[source]

Run an indexer.

Parameters:: name (str) – The name of the indexer to run.

Example:

Run a SearchIndexer

await indexers_client.run_indexer("async-sample-indexer")
print("Ran the Indexer 'async-sample-indexer'")
return