andygrove commented on issue #4389:
URL: 
https://github.com/apache/datafusion-comet/issues/4389#issuecomment-4514107904

   > > Merge queue looks promising +1
   > 
   > with MQ there are some drawbacks, so effectively you running CI twice and 
if CI fails during MQ cycle your PR is removed from the queue.
   > 
   > I'm still playing with 
[#4292](https://github.com/apache/datafusion-comet/pull/4292) to offboard 
heavyweight tasks, but need some time, straightfwd CI port from Spark to Comet 
doesn't properly work
   
   There are some nice advantages to #4292 approach:
   
   - contributors do not have to wait for maintainers to approve workflows
   - contributors get their own resource allocation so do have to wait with 
tasks queued due to shared ASF resources
   - we can probably use larger runners since it runs in contributor account
   - also we could parameterize it so users can choose runners (paid or free) 
by overrideing variable:
   
   ```yaml
   jobs:
     build:
       runs-on: ${{ vars.RUNNER || 'ubuntu-latest' }}
   ```


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