- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
โ11-19-2021 07:16 AM
Thereโs a new Trigger.AvailableOnce option in runtime 10.1 that we need to process a large folder bit by bit using Autoloader. But I donโt see how to engage this from pyspark. Is this accessible from scala only or is it available in pyspark? Thanks.
- Labels:
-
Pyspark
-
Stream Processing
Accepted Solutions
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
โ11-19-2021 07:32 AM
Confirmed this is currently only available in Scala (as of Nov 2021), pyspark support forthcoming in a future release.
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
โ11-19-2021 07:32 AM
Confirmed this is currently only available in Scala (as of Nov 2021), pyspark support forthcoming in a future release.

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
โ11-19-2021 03:42 PM
@Mark Murphyโ - Thanks for that information.
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
โ02-16-2022 07:51 AM
Any update on this issue? I can see that one can use .trigger(availableNow=True) i DBR 10.3 (On Azure Databricks).... Unfortunately I can't get it to work with Autoloader. Is this supported?
Additionally, can't find any answers when skimming through the release notes.
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
โ02-22-2022 03:17 PM
I got it working with cloudFiles (autoloader) source except my autoloader is not subscribing to the ADLSgen2 storage.Just using cloudFiles like a normal source.

