HyukjinKwon commented on a change in pull request #27278:
[SPARK-30569][SQL][PYSPARK][SPARKR] Add percentile_approx DSL functions.
URL: https://github.com/apache/spark/pull/27278#discussion_r380071198
##########
File path: core/src/main/scala/org/apache/spark/api/python/PythonUtils.scala
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@@ -71,6 +71,13 @@ private[spark] object PythonUtils {
vs.toArray().asInstanceOf[Array[T]]
}
+ /**
+ * Convert list of java.lang.Double into array of Double
+ */
+ def doubleJListToArray(vs: JList[java.lang.Double]): Array[Double] = {
+ vs.asScala.map(_.doubleValue).toArray
Review comment:
Oh, we don't need this. We can manually create an array of double in PySpark
side. For example as below:
```python
# Create an array of objects
a_list = [...]
double_class = self._spark_session._jvm.Double
arr = SparkContext._gateway.new_array(str_class, len(a_list))
for i in range(len(a_list)):
arr[i] = a_list[i]
```
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