Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/18301#discussion_r122195150
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/metric/SQLMetrics.scala
---
@@ -57,6 +57,11 @@ class SQLMetric(val metricType: String, initValue: Long
= 0L) extends Accumulato
override def add(v: Long): Unit = _value += v
+ // Because `SQLMetric` only stores long value, in order to store double
average metrics, we
+ // multiply the given double with a base integer. When showing the
metrics, it will be
+ // divided by the base integer to restore back a double.
+ def setWithDouble(v: Double): Unit = _value = (v *
SQLMetrics.baseForAvgMetric).toLong
--- End diff --
To store a float value into `SQLMetric`, currently I have no better idea to
do. Any suggestion welcome.
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