Features
- Add
persistedSharedObject to transform functions input object. This object is shared for all transform function calls and persist over Actor migrations. This is useful mainly for the dedup-as-loading mode where the transform functions are called multiple times and only process a chunk of the data.
- Add
nullAsUnique to input. If set to true, the null and missing values are considered unique and not deduplicated.
Features
- Enable merging all datasets for runs of an Actor or Task with
actorOrTaskId, onlyRunsNewerThan, onlyRunsOlderThan input parameters.
Features
- Add
customInputData object to input for easy passing of custom values into preDedupTransformFunction and postDedupTransformFunction. It is part of the 2nd parameter object.
Featues
- Added
fieldsToLoad to input to increase speed and reducem meory if you don't need full items in output
- Added
limit and offset to input to be able to process only slices of dataset
- Removed
uploadSleepMs as the platform can now handle much higher load of upload
Features
outputDatasetId can now also use dataset name. If dataset with that name doesn't exist, a new dataset is created.
Fixes:
dedup-as-loading mode now works correctly with actor migrations. This means that this actor can finally be used for huge datasets with lower memory!
Features:
fields are now optional which means the actor does not need to perform deduplication
Previous updates were not tracked, see GitHub commits if you need to find past changes or ask in Issues or Discord.