Github user jegonzal commented on the pull request:
https://github.com/apache/spark/pull/2996#issuecomment-61026298
The following implementation seems a bit more efficient but is needlessly
complicated.
```scala
// Count the number of empty values
var i = 1
var emptyValues = 0
while (i < items.size) {
if (items(i).isEmpty) emptyValues += 1
i += 1
}
// Determine the number of non-zero entries
val nnzs = items.size - 1 - emptyValues
// Compute the indices
val indices = new Array[Int](nnzs)
val values = new Array[Double](nnzs)
i = 1
var j = 0
while (i < items.size) {
if (!items(i).isEmpty) {
val indexAndValue = items(i).split(':')
indices(j) = indexAndValue(0).toInt - 1 // Convert 1-based
indices to 0-based.
values(j) = indexAndValue(1).toDouble
j += 1
}
i += 1
}
```
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