Check your dataset for duplications. Accept only the highest quality data!

You can change number of loaded and processed items in each batch. This is only needed if you have really huge items.

Batch Size

Only clean dataset items will be loaded and use for duplications checking if `datasetId` option is provided.

Check only clean dataset items

Id of dataset where the data are located. If you need to use other input types like Key value store or raw JSON, look at `Other data sources`

Dataset ID

List of fields in each item that will be checked for duplicates. Each given field must not be nested and it should contain only simple value (string or number). You can prepare your data with preCheckFunction.

Fields

ID and record key if you want to load from KV store. Format is `{keyValueStoreId}+{recordKey}`, e.g. `s5NJ77qFv8b4osiGR+MY-KEY`

Allows you to load from Key value store or arbitrary JSON.

Key value store Record

How many items will be checked. Default is all

Allows you to pick parts of the dataset to check.

Limit

Minimum occurences to be included in the report. Defaults to 2

Minimum duplications

From which item the checking will start. Use with limit to check specific items.

Offset

You can specify which fields should display in the debug OUTPUT to identify bad items. By default it shows all fields which may make it unnecessary big.

Pre-check function

Raw Data

Indexes of the duplicate items will be shown in the OUTPUT report. Set to false if you don't need them.

Showing more will help you debug but uses more memory.

Show indexes

Duplicate items will be pushed to a dataset. Set to false if you don't need them.

Show items

Items where the values for the `field` is missing or is `null` or `''` will be included in the report.

Duplications Checker

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