Migrating JIRA tickets between projects on different servers

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1

Hey everyone,

I’m trying to move a bunch of JIRA tickets from one project to another. The tricky part is that the new project is on a different server. I’ve already tried exporting to CSV and importing, but I’m running into some problems:

  1. The comments aren’t coming through at all
  2. The attachments (like screenshots) aren’t showing up right

Does anyone know a better way to do this? I need to keep all the ticket content, comments, and other fields intact. Any tips or tricks would be super helpful!

I’m wondering if there’s a plugin or some other method I haven’t thought of yet. Thanks in advance for any advice!

2

Back when I was a project manager, we had to migrate hundreds of tickets between servers. What worked for us was using the JIRA Data Center Migration App, which is designed for cross-server migrations and takes care of comments, attachments, and custom fields. The process was straightforward. First, you install the app on both source and destination servers and set up a secure connection between them. Then you select the project and tickets to migrate, map fields and users accordingly, and finally run the migration. It took some time to configure, but once set up, everything transferred accurately. Make sure you have admin access on both servers and enough disk space on the destination, and perform a test run before a full-scale migration.

3

have u tried the JIRA Importers plugin? it’s built for this kinda stuff. lets u move tickets between servers and keeps all the details intact. just make sure both servers have compatible jira versions. might be worth a shot if the api route sounds too complicated

4

I’ve faced a similar challenge before and found that using the JIRA REST API can be an effective solution. The API enables you to programmatically retrieve detailed ticket data from the source server, ensuring that comments, attachments, and other fields are preserved. In my experience, writing a script in Python to fetch the necessary data and then create equivalent issues on the destination server works better than exporting and importing CSV files. This approach does require some coding effort and careful handling of server rate limits.