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Use this Snap to remove duplicate records from input documents. When you use multiple matching criteria to deduplicate your data, it is evaluated using each criterion separately, and then aggregated to give the final result.
Prerequisites
None.
Limitations
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| Parameter Name | Data Type | Description | Default Value | Example | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Label | String |
| N/A | Deduplicate Office Names | ||||||||
Threshold | Decimal | Required. The minimum confidence required for documents to be considered matched as duplicates using the matching criteria. Minimum Value: 0 Maximum Value: 1 | 0.8 | 0.95 | ||||||||
| Confidence | Check box | Select this check box to include each match's confidence levels in the output. | Deselected | N/A | ||||||||
| Group ID | Check box | Select this check box to include the group ID for each record in the output. | Deselected | N/A | ||||||||
| Matching Criteria | Fieldset | Enables you to specify the settings that you want to use to match input documents with the matching criteria. | N/A | N/A | ||||||||
Field | JSONPath | The field in the input dataset that you want to use for matching and identifying duplicates. | N/A | $name | ||||||||
Cleaner | String |
| None | Text | ||||||||
Comparator | String |
| Levenshtein | Numeric | ||||||||
Low | Decimal | A decimal value representing the level of probability of the input documents to be matched if the specified fields are completely unlike.
| N/A | 0.1 | ||||||||
High | Decimal | A decimal value representing the level of probability of the input documents to be matched if the specified fields are a complete match.
| NA | 0.8 | ||||||||
| Snap Execution | String |
| Validate & Execute | N/A |
Multiexcerpt include macro name Temporary Files page Join
Examples
Deduplicating the List of Childhood Centers in Chicago
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- You add a File Reader Snap to the Pipeline and configure it to read the source CSV file stored online:
The File Reader Snap displays the contents of the file, which contains many duplicate entries:
- You add a CSV Parser Snap to the Pipeline to interpret the input data as a CSV document.
- You add a Deduplicate Snap to the Pipeline and configure it to use the name, address, ZIP, and phone details in the input document as fields for deduplication:
- You also add an additional output view to the Snap, where the Snap can display the duplicate data. Now, the Snap has two output views, one for the cleaned (deduplicated) data, and another for the duplicated records that the Snap filtered out.
The Snap, when executed, offers the following two output documents (Output0 and Output1). Output0 contains the deduplicated data, while Output1 contains the duplicate data:
- You attach a CSV Formatter Snap to each output view of the Deduplicate Snap to structure the outputs as CSV documents. You then connect a File Writer Snap to each CSV Formatter Snap to write the input data as files.
- The Pipeline, when run, generates two output documents: one containing deduplicated data, and the other containing the duplicate data:
Downloads
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