Jira

Jira is a proprietary issue tracking product developed by Atlassian that allows bug tracking and agile project management.

ingestr supports Jira as a source through Jira's REST API v3.

URI format

The URI format for Jira is:

jira://your-domain.atlassian.net?email=<email>&api_token=<api_token>

URI parameters:

• email: the email address used for authentication with the Jira API
• api_token: the API token for authentication (required for Jira Cloud)

Example usage

Assuming your Jira domain is company.atlassian.net, email is user@company.com, and API token is ATATT3xFfGF0..., you can ingest issues into DuckDB using:

ingestr ingest \
  --source-uri 'jira://company.atlassian.net?email=user@company.com&api_token=ATATT3xFfGF0...' \
  --source-table 'issues' \
  --dest-uri duckdb:///jira.duckdb \
  --dest-table 'dest.issues'

Authentication

To connect to Jira, you need:

1. Email: Your Atlassian account email
2. API Token: Create one from your Atlassian Account Settings

Tables

Jira source allows ingesting the following tables:

Table	PK	Inc Key	Inc Strategy	Details
projects	id	-	replace	Fetches all projects from your Jira instance.
issues	id	fields.updated	merge	Fetches all issues with support for incremental loading based on updated timestamp.
users	accountId	-	replace	Fetches users from your Jira instance.
issue_types	id	-	replace	Fetches all issue types configured in your Jira instance.
statuses	id	-	replace	Fetches all workflow statuses from your Jira instance.
priorities	id	-	replace	Fetches all issue priorities from your Jira instance.
resolutions	id	-	replace	Fetches all issue resolutions from your Jira instance.
project_versions	id	-	replace	Fetches versions for each project.
project_components	id	-	replace	Fetches components for each project.

Use these as the --source-table parameter in the ingestr ingest command.

Incremental Loading

The issues table supports incremental loading based on the updated field. This means subsequent runs will only fetch issues that have been modified since the last run, making the data ingestion more efficient for large Jira instances.

NOTE

Most tables use "replace" write disposition, meaning they will overwrite existing data on each run. Only the issues table supports incremental loading with "merge" disposition.