This Splunk Technical Add-on enables you to index Jira issues by querying your Jira servers' REST API. You can control which issues to index by specifying a JQL query string.

Example:

project = SD AND status != "Canceled"

• This JQL query string matches all issues in the service desk (SD) project that haven't been canceled.

1. Setup the Jira Account by going to the configuration page of the TA-jira_issue_input app: Configuration -> Account

• Account Name | Unique name of the account
• Jira Server | Jira Server Hostname (without http(s)://)
• Verify Jira Server Certificate | Whether the Jira server certificate should be verified
• Username | Jira REST API username
• Password | Jira REST API password

2. (Optional) Setup a proxy to use for the requests to the Jira REST API: Configuration -> Proxy

3. Add your Jira issue input on the app Inputs configuration page

• Name | Unique name of the data input (this also represents the source field)
• Interval | Time interval of input in seconds
• Index | The destination index in which the Jira issue data will be stored
• Jira Account | The Jira account configured in step 1
• JQL (Jira Query Language) | The JQL (Jira Query Language) search filter defines which Jira issues to collect (more infos: Advanced Searching). If you filter for the updated field, the input does not use checkpoints to only index the latest data!
• Last Updated Start Time | The start time for the input defines which Jira issues should be collected based on their last updated time. Format: YYYY-MM-DD hh:mm (UTC). Default: 1 week ago. This field only applies if you DO NOT specify the updated field in the JQL search filter!
• Issue Fields | Comma-separated list of Jira issue fields to collect. This config option also supports wildcards like *all. More infos can be found here.
• Expand Fields | (optional) Comma-separated list of entities to expand. More infos can be found here.

This app uses KV Store checkpoints to save the latest state of an input in order to only index updated Jira issues since the last run. This feature has been added in version 1.1.0 of this TA.

You can use the jira_issue_input_checkpointer_lookup lookup to view the current checkpoint value(s). Example search:

| inputlookup jira_issue_input_checkpointer_lookup
| eval input_name=_key

You can easily reindex data by modifying the checkpoint value for an input. The timestamp has to be an integer in milliseconds! Example search:

| inputlookup jira_issue_input_checkpointer_lookup
| search _key="<input_name>"
| eval state="1678718462404"
| outputlookup jira_issue_input_checkpointer_lookup

Please note that checkpoints are only used if you do not specify an updated field in your JQL!

Of course, you can also just delete and create a new input to reindex data!

Version 1.1.0 added checkpoint support to the TA by adding a new field to the input called Last Updated Start Time (last_updated_start_time).

Your inputs will continue to work the same way after upgrading from 1.0.x to 1.1.x, but I highly recommend to migrate to checkpoints. There are two ways how you can do this:

1. Update the TA and let your inputs run at least one time. This will initialize the checkpoint with updated timestamps from the input. You can disable and enable an input to make it run manually. After that, you can just edit your inputs and remove filters for the updated field from your JQL. This will make sure that the input now uses the checkpoint for data retrieval.
2. Reconfigure your inputs and set the Last Updated Start Time field to the last time the old input was running. Remove filters for the updated field from your JQL.

This TA includes a workaround for JRASERVER-34746, which means you can use the worklog field to fetch all worklogs.

• Put your Splunk developer license in the root of this repository in a file called splunk.lic
• Start the Docker instace: docker compose up [-d]