IMPORTANT: No additional bug fixes or documentation updates will be released for this version. For the latest information, see the current release documentation.

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Elastic Jira connector reference

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Elastic Jira connector reference

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The Elastic Jira connector is a connector for Atlassian Jira. This connector is written in Python using the Elastic connector framework.

View the source code for this connector (branch 8.11, compatible with Elastic 8.11).

Native connector (Elastic Cloud)

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View native connector reference

Availability and prerequisites

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This connector is available as a native connector on Elastic Cloud, as of 8.9.1.

To use this connector natively in Elastic Cloud, satisfy all native connector requirements.

Usage

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To use this connector natively in Elastic Cloud, see Native connectors.

For additional operations, see Using connectors.

Compatibility

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Jira Cloud or Jira Server versions 7 or later are compatible with Elastic connector frameworks.
Jira Data Center editions are not currently supported.

Configuration

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The following configuration fields are required to set up the connector:

Jira data source

Platform type Jira Cloud or Jira Server.

Jira Cloud service account id

The service account id for Jira Cloud.

Jira Cloud API token

The API Token to authenticate with Jira Cloud.

Jira Server username

The username of the account for Jira Server.

Jira Server password

The password of the account to be used for Jira Server.

Jira Cloud service account id

The account email for Jira Cloud.

Jira Cloud API token

The API Token to authenticate with Jira Cloud.

Jira host url

The domain where Jira is hosted. Examples:

Jira project keys

Comma-separated list of Project Keys to fetch data from Jira server or cloud. If the value is * the connector will fetch data from all projects present in the configured projects. Default value is *. Examples:

EC, TP
*

Enable SSL

Whether SSL verification will be enabled. Default value is False.

SSL certificate

Content of SSL certificate. Note: In case of ssl_enabled is False, the ssl_ca value will be ignored. Example certificate:

-----BEGIN CERTIFICATE-----
MIID+jCCAuKgAwIBAgIGAJJMzlxLMA0GCSqGSIb3DQEBCwUAMHoxCzAJBgNVBAYT
...
7RhLQyWn2u00L7/9Omw=
-----END CERTIFICATE-----

Enable document level security

Toggle to enable document level security (DLS). Only available for Atlassian Jira Cloud. 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.

To access user data in Jira Administration, the account you created must be granted Product Access for Jira Administration. This access needs to be provided by an administrator from the Atlassian Admin, and the access level granted should be Product Admin.

Documents and syncs

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The connector syncs the following objects and entities:

Projects
- Includes metadata such as description, project key, project type, lead name, etc.
Issues
- All types of issues including Task, Bug, Sub-task, Enhancement, Story, etc.
- Includes metadata such as issue type, parent issue details, fix versions, affected versions, resolution, attachments, comments, sub-task details, priority, custom fields, etc.
Attachments

Note: Archived projects and issues are not indexed.

Files bigger than 10 MB won’t be extracted
Permissions are not synced by default. You must first enable DLS. Otherwise, all documents indexed to an Elastic deployment will be visible to all users with access to that Elastic Deployment.

Sync rules

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Basic sync rules are identical for all connectors and are available by default.

This connector supports advanced sync rules for remote filtering. These rules cover complex query-and-filter scenarios that cannot be expressed with basic sync rules. Advanced sync rules are defined through a source-specific DSL JSON snippet.

Advanced sync rules example

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Example 1: Queries to index content based on status of Jira issues.

[
  {
    "query": "project = Collaboration AND status = 'In Progress'"
  },
  {
    "query": "status IN ('To Do', 'In Progress', 'Closed')"
  }
]

Example 2: Query to index data based on priority of issues for given projects.

[
  {
    "query": "priority in (Blocker, Critical) AND project in (ProjA, ProjB, ProjC)"
  }
]

Example 3: Query to index data based on assignee and created time.

[
  {
    "query": "assignee is EMPTY and created < -1d"
  }
]

Document level security

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Document level security (DLS) is only available for Atlassian Jira Cloud.

Document 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.

Enabling DLS for your connector will cause a significant performance degradation, as the API calls to the data source required for this functionality are rate limited. This impacts the speed at which your content can be retrieved.

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.

Content Extraction

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See Content extraction.

Known issues

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Enabling document-level security impacts performance.

Enabling DLS for your connector will cause a significant performance degradation, as the API calls to the data source required for this functionality are rate limited. This impacts the speed at which your content can be retrieved.

Refer to Known issues for a list of known issues for all connectors.

View connector client reference

Availability and prerequisites

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This connector is available as a self-managed connector client. This connector client is compatible with Elastic versions 8.7.0+. To use this connector, satisfy all connector client requirements.

Usage

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Self-manage this connector

Because this client is available as a native connector, you’ll first need to convert to a connector client in the Kibana UI. This action is irreversible. Use the Convert connector button on the right-hand side of the configuration page.

To use this connector as a connector client, see Connector clients.

For additional usage operations, see Using connectors.

Compatibility

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Jira Cloud or Jira Server versions 7 or later are compatible with Elastic connector frameworks.
Jira Data Center editions are not currently supported.

Configuration

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When 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:

data_source

Platform type: jira_cloud or jira_server. Default value is jira_cloud.

username

The username of the account for Jira Server.

password

The password of the account to be used for Jira Server.

account_email

The account email for Jira Cloud.

api_token

The API Token to authenticate with Jira Cloud.

jira_url

The domain where Jira is hosted. Examples:

projects

EC, TP
*

This field can be bypassed by advanced sync rules.

ssl_enabled

Whether SSL verification will be enabled. Default value is False.

ssl_ca

Content of SSL certificate. Note: In case of ssl_enabled is False, the ssl_ca value will be ignored. Example certificate:

-----BEGIN CERTIFICATE-----
MIID+jCCAuKgAwIBAgIGAJJMzlxLMA0GCSqGSIb3DQEBCwUAMHoxCzAJBgNVBAYT
...
7RhLQyWn2u00L7/9Omw=
-----END CERTIFICATE-----

retry_count

The number of retry attempts after failed request to Jira. 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 100.

use_document_level_security

Toggle to enable document level security (DLS). Only available for Atlassian Jira Cloud. 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.

use_text_extraction_service

Requires a separate deployment of the Elastic Text Extraction Service. Requires that ingest pipeline settings disable text extraction. Default value is False.

Deployment using Docker

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You can deploy the Jira 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: jira
    api_key: <CONNECTOR_API_KEY_FROM_KIBANA>

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:8.11.4.0 \
/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.

Documents and syncs

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The connector syncs the following objects and entities:

Projects
- Includes metadata such as description, project key, project type, lead name, etc.
Issues
- All types of issues including Task, Bug, Sub-task, Enhancement, Story, etc.
- Includes metadata such as issue type, parent issue details, fix versions, affected versions, resolution, attachments, comments, sub-task details, priority, custom fields, etc.
Attachments

Note: Archived projects and issues are not indexed.

Files bigger than 10 MB won’t be extracted
Permissions are not synced by default. You must first enable DLS. Otherwise, all documents indexed to an Elastic deployment will be visible to all users with access to that Elastic Deployment.

Sync rules

edit

Basic sync rules are identical for all connectors and are available by default.

Advanced sync rules example

edit

Example 1: Queries to index content based on status of Jira issues.

[
  {
    "query": "project = Collaboration AND status = 'In Progress'"
  },
  {
    "query": "status IN ('To Do', 'In Progress', 'Closed')"
  }
]

Example 2: Query to index data based on priority of issues for given projects.

[
  {
    "query": "priority in (Blocker, Critical) AND project in (ProjA, ProjB, ProjC)"
  }
]

Example 3: Query to index data based on assignee and created time.

[
  {
    "query": "assignee is EMPTY and created < -1d"
  }
]

Document level security

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Document level security (DLS) is only available for Atlassian Jira Cloud.

Document 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.

Content Extraction

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See Content extraction.

Connector client operations

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End-to-end testing

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The 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 Jira connector, run the following command:

$ make ftest NAME=jira

For faster tests, add the DATA_SIZE=small flag:

make ftest NAME=jira DATA_SIZE=small

Known issues

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Enabling document-level security impacts performance.

Enabling DLS for your connector will cause a significant performance degradation, as the API calls to the data source required for this functionality are rate limited. This impacts the speed at which your content can be retrieved.

Refer to Known issues for a list of known issues for all connectors.

Troubleshooting

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See Troubleshooting.

Security

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See Security.

« Elastic Google Drive connector reference Elastic Microsoft SQL connector reference »

Elastic Jira connector reference

Elastic Jira connector reference

Native connector (Elastic Cloud)

Availability and prerequisites

Usage

Compatibility

Configuration

Documents and syncs

Sync rules

Advanced sync rules example

Document level security

Content Extraction

Known issues

Troubleshooting

Security

Connector client (self-managed)

Availability and prerequisites

Usage

Compatibility

Configuration

Deployment using Docker

Documents and syncs

Sync rules

Advanced sync rules example

Document level security

Content Extraction

Connector client operations

End-to-end testing

Known issues

Troubleshooting

Security