# Changelog of Easy Data Processor: Merge, Clean, and Transform Your Data (`dainty_screw/easy-data-processor-merge-clean-and-transform-your-data`) Actor

- **URL**: https://apify.com/dainty\_screw/easy-data-processor-merge-clean-and-transform-your-data/changelog.md
- **Full Actor documentation**: https://apify.com/dainty\_screw/easy-data-processor-merge-clean-and-transform-your-data.md

### 2024-09-10

*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.

### 2024-07-03

*Features*

- Enable merging all datasets for runs of an Actor or Task with `actorOrTaskId`, `onlyRunsNewerThan`, `onlyRunsOlderThan` input parameters.

### 2023-07-13

*Features*

- Add `customInputData` object to input for easy passing of custom values into `preDedupTransformFunction` and `postDedupTransformFunction`. It is part of the 2nd parameter object.

### 2021-01-24

*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

### 2021-01-14

*Features*

- `outputDatasetId` can now also use dataset name. If dataset with that name doesn't exist, a new dataset is created.

### 2020-07-10

*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

Previous updates were not tracked, see GitHub commits if you need to find past changes or ask in Issues or Discord.