Elastic SharePoint Server connector reference
editElastic SharePoint Server connector reference
editThe Elastic SharePoint Server connector is a connector for Microsoft SharePoint Server.
This connector is written in Python using the open code Elastic connector framework. View the source code for this connector.
Looking for the SharePoint Online connector? See the SharePoint Online reference.
Native connector reference (managed service)
editView reference for the native connector reference (managed service).
Availability and prerequisites
editThis connector is available as a managed service since Elastic 8.15.0. To use this connector, satisfy all native connector requirements.
This connector is in beta and is subject to change. Beta features are subject to change and are not covered by the support SLA of generally available (GA) features. Elastic plans to promote this feature to GA in a future release.
Create a SharePoint Server connector
editUse the UI
editTo create a new SharePoint Server connector:
- Navigate to the Search → Connectors page in the Kibana UI.
- Follow the instructions to create a new native SharePoint Server connector.
For additional operations, see Using connectors.
Use the API
editYou can use the Elasticsearch Create connector API to create a new native SharePoint Server connector.
For example:
PUT _connector/<my-sharepoint_server-connector> { "index_name": "<my-elasticsearch-index>", "name": "Content synced from SharePoint Server", "service_type": "sharepoint_server", "is_native": "true" }
You’ll also need to create an API key for the connector to use.
The user needs the cluster privileges manage_api_key
, manage_connector
and write_connector_secrets
to generate API keys programmatically.
To create an API key for the connector:
-
Run the following command, replacing values where indicated. Note the
id
andencoded
return values from the response:POST /_security/api_key { "name": "<connector_name>-connector-api-key", "role_descriptors": { "<connector_name>-connector-role": { "cluster": [ "monitor", "manage_connector" ], "indices": [ { "names": [ "<index_name>", ".search-acl-filter-<index_name>", ".elastic-connectors*" ], "privileges": [ "all" ], "allow_restricted_indices": false } ] } } }
-
Use the
encoded
value to store a connector secret, and note theid
return value from this response:POST _connector/_secret { "value": <encoded_api_key> }
-
Use the API key
id
and the connector secretid
to update the connector:PUT /_connector/<connector_id>/_api_key_id { "api_key_id": "<API key id>", "api_key_secret_id": "<secret id>" }
Refer to the Elasticsearch API documentation for details of all available Connector APIs.
Usage
editSee Native connectors (managed service).
For additional operations, see Using connectors.
Compatibility
editThe following SharePoint Server versions are compatible:
- SharePoint 2013
- SharePoint 2016
- SharePoint 2019
Configuration
editThe following configuration fields are required to set up the connector:
-
username
- The username of the account for the SharePoint Server instance.
-
password
- The password of the account.
-
host_url
-
The server host url where the SharePoint Server instance is hosted. Examples:
-
https://192.158.1.38:8080
-
https://<tenant_name>.sharepoint.com
-
-
site_collections
-
Comma-separated list of site collections to fetch from SharePoint Server. Examples:
-
collection1
-
collection1, collection2
-
-
ssl_enabled
-
Whether SSL verification will be enabled.
Default value is
False
. -
ssl_ca
-
Content of SSL certificate needed for SharePoint Server. Keep this field empty, if
ssl_enabled
is set toFalse
.Example certificate:
-----BEGIN CERTIFICATE----- MIID+jCCAuKgAwIBAgIGAJJMzlxLMA0GCSqGSIb3DQEBCwUAMHoxCzAJBgNVBAYT ... 7RhLQyWn2u00L7/9Omw= -----END CERTIFICATE-----
-
retry_count
-
The number of retry attempts after a failed request to the SharePoint Server instance. Default value is
3
. -
use_document_level_security
-
Toggle to enable Document level security (DLS). When enabled, full syncs will fetch access control lists for each document and store them in the
_allow_access_control
field. Access control syncs fetch users' access control lists and store them in a separate index.Once enabled, the following granular permissions toggles will be available:
- Fetch unique list permissions: Enable this option to fetch unique list permissions. If this setting is disabled a list will inherit permissions from its parent site.
-
Fetch unique list item permissions: Enable this option to fetch unique list item permissions. If this setting is disabled a list item will inherit permissions from its parent site.
If left empty the default value
true
will be used for these granular permissions toggles. Note that these settings may increase sync times.
Documents and syncs
editThe connector syncs the following SharePoint object types:
- Sites and Subsites
- Lists
- List Items and its attachment content
- Document Libraries and its attachment content(include Web Pages)
- Content from files bigger than 10 MB won’t be extracted by default. Use the self-managed local extraction service to handle larger binary files.
- Permissions are not synced. All documents indexed to an Elastic deployment will be visible to all users with access to that Elasticsearch Index.
Sync types
editFull syncs are supported by default for all connectors.
This connector also supports incremental syncs.
Document level security
editDocument level security (DLS) enables you to restrict access to documents based on a user’s permissions. Refer to configuration on this page for how to enable DLS for this connector.
Refer to DLS in Search Applications to learn how to ingest data from a connector with DLS enabled, when building a search application. The example uses SharePoint Online as the data source, but the same steps apply to every connector.
Sync rules
editBasic sync rules are identical for all connectors and are available by default.
Advanced sync rules are not available for this connector in the present version. Currently filtering is controlled via ingest pipelines.
Content Extraction
editSee Content extraction.
Known issues
editThere are currently no known issues for this connector. Refer to Known issues for a list of known issues for all connectors.
Troubleshooting
editSee Troubleshooting.
Security
editSee Security.
Framework and source
editThis connector is written in Python using the Elastic connector framework.
View the source code for this connector (branch 8.15, compatible with Elastic 8.15).
Connector client reference (self-managed)
editView reference for the connector client reference (self-managed).
Availability and prerequisites
editThis connector is available as a self-managed connector client. This connector client is compatible with Elastic versions 8.9.0+. To use this connector, satisfy all connector client requirements.
This connector is in beta and is subject to change. Beta features are subject to change and are not covered by the support SLA of generally available (GA) features. Elastic plans to promote this feature to GA in a future release.
Create a SharePoint Server connector
editUse the UI
editTo create a new SharePoint Server connector:
- Navigate to the Search → Connectors page in the Kibana UI.
- Follow the instructions to create a new SharePoint Server connector client.
For additional operations, see Using connectors.
Use the API
editYou can use the Elasticsearch Create connector API to create a new self-managed SharePoint Server connector client.
For example:
PUT _connector/my-sharepoint_server-connector { "index_name": "my-elasticsearch-index", "name": "Content synced from SharePoint Server", "service_type": "sharepoint_server" }
You’ll also need to create an API key for the connector to use.
The user needs the cluster privileges manage_api_key
, manage_connector
and write_connector_secrets
to generate API keys programmatically.
To create an API key for the connector:
-
Run the following command, replacing values where indicated. Note the
encoded
return values from the response:POST /_security/api_key { "name": "<connector_name>-connector-api-key", "role_descriptors": { "<connector_name>-connector-role": { "cluster": [ "monitor", "manage_connector" ], "indices": [ { "names": [ "<index_name>", ".search-acl-filter-<index_name>", ".elastic-connectors*" ], "privileges": [ "all" ], "allow_restricted_indices": false } ] } } }
-
Update your
config.yml
file with the API keyencoded
value.
Refer to the Elasticsearch API documentation for details of all available Connector APIs.
Usage
editTo use this connector as a connector client, see Connector clients (self-managed).
For additional operations, see Using connectors.
Compatibility
editThe following SharePoint Server versions are compatible with the Elastic connector framework:
- SharePoint 2013
- SharePoint 2016
- SharePoint 2019
Configuration
editWhen using the connector client workflow, initially these fields will use the default configuration set in the connector source code.
These are set in the get_default_configuration
function definition.
These configurable fields will be rendered with their respective labels in the Kibana UI. Once connected, you’ll be able to update these values in Kibana.
The following configuration fields are required to set up the connector:
-
username
- The username of the account for the SharePoint Server instance.
-
password
- The password of the account.
-
host_url
-
The server host url where the SharePoint Server instance is hosted. Examples:
-
https://192.158.1.38:8080
-
https://<tenant_name>.sharepoint.com
-
-
site_collections
-
Comma-separated list of site collections to fetch from SharePoint Server. Examples:
-
collection1
-
collection1, collection2
-
-
ssl_enabled
-
Whether SSL verification will be enabled.
Default value is
False
. -
ssl_ca
-
Content of SSL certificate needed for the SharePoint Server instance. Keep this field empty, if
ssl_enabled
is set toFalse
.Example certificate:
-----BEGIN CERTIFICATE----- MIID+jCCAuKgAwIBAgIGAJJMzlxLMA0GCSqGSIb3DQEBCwUAMHoxCzAJBgNVBAYT ... 7RhLQyWn2u00L7/9Omw= -----END CERTIFICATE-----
-
retry_count
-
The number of retry attempts after failed request to the SharePoint Server instance. Default value is
3
. -
use_document_level_security
-
Toggle to enable Document level security (DLS). When enabled, full syncs will fetch access control lists for each document and store them in the
_allow_access_control
field. Access control syncs fetch users' access control lists and store them in a separate index.Once enabled, the following granular permissions toggles will be available:
- Fetch unique list permissions: Enable this option to fetch unique list permissions. If this setting is disabled a list will inherit permissions from its parent site.
-
Fetch unique list item permissions: Enable this option to fetch unique list item permissions. If this setting is disabled a list item will inherit permissions from its parent site.
If left empty the default value
true
will be used for these granular permissions toggles. Note that these settings may increase sync times.
Deployment using Docker
editYou can deploy the SharePoint Server connector as a self-managed connector client using Docker. Follow these instructions.
Step 1: Download sample configuration file
Download the sample configuration file. You can either download it manually or run the following command:
curl https://raw.githubusercontent.com/elastic/connectors/main/config.yml.example --output ~/connectors-config/config.yml
Remember to update the --output
argument value if your directory name is different, or you want to use a different config file name.
Step 2: Update the configuration file for your self-managed connector
Update the configuration file with the following settings to match your environment:
-
elasticsearch.host
-
elasticsearch.api_key
-
connectors
If you’re running the connector service against a Dockerized version of Elasticsearch and Kibana, your config file will look like this:
# When connecting to your cloud deployment you should edit the host value elasticsearch.host: http://host.docker.internal:9200 elasticsearch.api_key: <ELASTICSEARCH_API_KEY> connectors: - connector_id: <CONNECTOR_ID_FROM_KIBANA> service_type: sharepoint_server api_key: <CONNECTOR_API_KEY_FROM_KIBANA> # Optional. If not provided, the connector will use the elasticsearch.api_key instead
Using the elasticsearch.api_key
is the recommended authentication method. However, you can also use elasticsearch.username
and elasticsearch.password
to authenticate with your Elasticsearch instance.
Note: You can change other default configurations by simply uncommenting specific settings in the configuration file and modifying their values.
Step 3: Run the Docker image
Run the Docker image with the Connector Service using the following command:
docker run \ -v ~/connectors-config:/config \ --network "elastic" \ --tty \ --rm \ docker.elastic.co/enterprise-search/elastic-connectors:8.15.2.0 \ /app/bin/elastic-ingest \ -c /config/config.yml
Refer to DOCKER.md
in the elastic/connectors
repo for more details.
Find all available Docker images in the official registry.
We also have a quickstart self-managed option using Docker Compose, so you can spin up all required services at once: Elasticsearch, Kibana, and the connectors service.
Refer to this README in the elastic/connectors
repo for more information.
Documents and syncs
editThe connector syncs the following SharePoint object types:
- Sites and Subsites
- Lists
- List Items and its attachment content
- Document Libraries and its attachment content(include Web Pages)
- Content from files bigger than 10 MB won’t be extracted by default. Use the self-managed local extraction service to handle larger binary files.
- Permissions are not synced. All documents indexed to an Elastic deployment will be visible to all users with access to that Elasticsearch Index.
Sync types
editFull syncs are supported by default for all connectors.
This connector also supports incremental syncs, but this feature is currently disabled by default. Refer to the linked documentation for enabling incremental syncs.
Document level security
editDocument level security (DLS) enables you to restrict access to documents based on a user’s permissions. Refer to configuration on this page for how to enable DLS for this connector.
Refer to DLS in Search Applications to learn how to ingest data from a connector with DLS enabled, when building a search application. The example uses SharePoint Online as the data source, but the same steps apply to every connector.
Sync rules
editBasic sync rules are identical for all connectors and are available by default.
Advanced sync rules are not available for this connector in the present version. Currently filtering is controlled via ingest pipelines.
Content Extraction
editSee Content extraction.
Connector client operations
editEnd-to-end testing
editThe connector framework enables operators to run functional tests against a real data source. Refer to Connector testing for more details.
To perform E2E testing for the sharepoint connector, run the following command:
$ make ftest NAME=sharepoint_server
For faster tests, add the DATA_SIZE=small
flag:
make ftest NAME=sharepoint_server DATA_SIZE=small
Known issues
editThere are currently no known issues for this connector. Refer to Known issues for a list of known issues for all connectors.
Troubleshooting
editSee Troubleshooting.
Security
editSee Security.
Framework and source
editThis connector is written in Python using the Elastic connector framework.
View the source code for this connector (branch 8.15, compatible with Elastic 8.15).