# Spark - (Random) Split

## 3 - Function

### 3.1 - randomSplit

randomSplit randomly splits a RDD with the provided weights.

randomSplit(weights, seed=None)

where:

• weights – weights for splits, will be normalized if they don’t sum to 1
• seed – random seed

Example of percentage split

weights = [.8, .1, .1]
seed = 42 # seed=0L
# Use randomSplit with weights and seed
rawTrainData, rawValidationData, rawTestData = rawData.randomSplit(weights, seed)

The exact number of entries in each dataset varies slightly due to the random nature of the randomSplit() transformation.