# FindIncrementalMatches class
FindIncrementalMatches

Identifies matching records in the existing and incremental `DynamicFrame` and creates a new `DynamicFrame` with a unique identifier assigned to each group of matching records.

To import:

```
from awsglueml.transforms import FindIncrementalMatches
```

## Methods
 — methods —
+ [Apply](#aws-glue-api-crawler-pyspark-transforms-findincrementalmatches-apply)

## apply(existingFrame, incrementalFrame, transformId, transformation\$1ctx = "", info = "", stageThreshold = 0, totalThreshold = 0, enforcedMatches = none, computeMatchConfidenceScores = 0)
Apply

Identifies matching records in the input `DynamicFrame` and creates a new `DynamicFrame` with a unique identifier assigned to each group of matching records.
+ `existingFrame` – The existing and pre-matched `DynamicFrame` to apply the FindIncrementalMatches transform. Required.
+ `incrementalFrame` – The incremental `DynamicFrame` to apply the FindIncrementalMatches transform to match against the `existingFrame`. Required.
+ `transformId` – The unique ID associated with the FindIncrementalMatches transform to apply on records in the `DynamicFrames`. Required.
+ `transformation_ctx` – A unique string that is used to identify stats/state information. Optional.
+ `info` – A string to be associated with errors in the transformation. Optional.
+ `stageThreshold` – The maximum number of errors that can occur in the transformation before it errors out. Optional. The default is zero.
+ `totalThreshold` – The maximum number of errors that can occur overall before processing errors out. Optional. The default is zero.
+ `enforcedMatches` – The `DynamicFrame` used to enforce matches. Optional. The default is None.
+ `computeMatchConfidenceScores` – A Boolean value indicating whether to compute a confidence score for each group of matching records. Optional. The default is false.

Returns a new `DynamicFrame` with a unique identifier assigned to each group of matching records.