Elastic ServiceNow connector reference
editElastic ServiceNow connector reference
editThe Elastic ServiceNow connector is a connector for ServiceNow.
Availability and prerequisites
editThe ServiceNow connector was introduced in Elastic version 8.9.0. This connector is available as a connector client from the Python connectors framework. To use this connector as a connector client, satisfy all connector client requirements.
This connector is in beta and is subject to change. The design and code is less mature than official GA features and is being provided as-is with no warranties. Beta features are not subject to the support SLA of official GA features.
Usage
editTo use this connector as a connector client, use the Customized connector workflow.
Compatibility
editThe ServiceNow connector is compatible with the following versions of ServiceNow:
- ServiceNow "Tokyo"
- ServiceNow "San Diego"
- ServiceNow "Rome"
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:
-
url
- The host url of the ServiceNow instance.
-
username
- The username of the account for ServiceNow.
-
password
- The password of the account used for ServiceNow.
-
services
-
Comma-separated list of services to fetch data from ServiceNow. If the value is
*
, the connector will fetch data from the list of basic services provided by ServiceNow:- User
- Incident
- Requested Item
- Knowledge
-
Default value is
*
. Examples: -
User, Incident, Requested Item, Knowledge, Change Request
-
*
-
retry_count
-
The number of retry attempts after a failed request to ServiceNow. Default value is
3
. -
concurrent_downloads
-
The number of concurrent downloads for fetching the attachment content. This speeds up the content extraction of attachments. Defaults to
10
.
Documents and syncs
editAll services and records the user has access to will be indexed according to the configurations provided. The connector syncs the following ServiceNow object types:
- Records
- Attachments
- Content of files bigger than 10 MB won’t be extracted.
- Permissions are not synced. All documents indexed to an Elastic deployment will be visible to all users with access to that Elastic Deployment.
Deployment using Docker
editYou can deploy the ServiceNow 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-python-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.password
-
connector_id
-
service_type
Use servicenow as the service_type
value.
Don’t forget to uncomment "servicenow" in the sources
section of the yaml
file.
If you’re running the connector service against a Dockerized version of Elasticsearch and Kibana, your config file will look like this:
elasticsearch: host: http://host.docker.internal:9200 username: elastic password: <YOUR_PASSWORD> connector_id: <CONNECTOR_ID_FROM_KIBANA> service_type: servicenow sources: # UNCOMMENT "servicenow" below to enable the ServiceNow connector #mongodb: connectors.sources.mongo:MongoDataSource #s3: connectors.sources.s3:S3DataSource #dir: connectors.sources.directory:DirectoryDataSource #mysql: connectors.sources.mysql:MySqlDataSource #network_drive: connectors.sources.network_drive:NASDataSource #google_cloud_storage: connectors.sources.google_cloud_storage:GoogleCloudStorageDataSource #azure_blob_storage: connectors.sources.azure_blob_storage:AzureBlobStorageDataSource #postgresql: connectors.sources.postgresql:PostgreSQLDataSource #oracle: connectors.sources.oracle:OracleDataSource #mssql: connectors.sources.mssql:MSSQLDataSource
Note that the config file you downloaded might contain more entries, so you will need to manually copy/change the settings that apply to you.
Normally you’ll only need to update elasticsearch.host
, elasticsearch.password
, connector_id
and service_type
to run the connector service.
Step 3: Run the Docker image
Run the Docker image with the Connector Service using the following command:
docker run \ -v ~/connectors-python-config:/config \ --network "elastic" \ --tty \ --rm \ docker.elastic.co/enterprise-search/elastic-connectors:8.9.2.0-SNAPSHOT \ /app/bin/elastic-ingest \ -c /config/config.yml
Refer to this guide in the Python framework repository for more details.
Sync rules
editBasic sync rules are identical for all connectors and are available by default.
Advanced sync rules are not currently available for this connector. Filtering is controlled via ingest pipelines.
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 ServiceNow connector, run the following command:
$ make ftest NAME=servicenow
Generate performance reports using the following flag: PERF8=yes
.
Toggle test data set size between SMALL, MEDIUM and LARGE with the argument DATA_SIZE=
.
By default, it is set to MEDIUM
.
Users do not need to have a running Elasticsearch instance or a ServiceNow source to run this test. Docker Compose manages the complete setup of the development environment.
Known issues
editThere are no known issues for this connector. Refer to Known issues for a list of known issues that impact all connectors.
Troubleshooting
editSee Troubleshooting.
Security
editSee Security.
Content extraction
editSee Content extraction.
Framework and source
editThis connector is included in the Python connectors framework.
View the source code for this connector (branch 8.9, compatible with Elastic 8.9).