Github user andrewor14 commented on a diff in the pull request:
https://github.com/apache/spark/pull/10835#discussion_r50742371
--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkHadoopUtil.scala
---
@@ -370,6 +370,14 @@ object SparkHadoopUtil {
val SPARK_YARN_CREDS_COUNTER_DELIM = "-"
+ /**
+ * Number of records to update input metrics when reading from
HadoopRDDs.
+ *
+ * Each update is potentially expensive because we need to use
reflection to access the
+ * Hadoop FileSystem API of interest (only available in 2.5), so we
should do this sparingly.
+ */
+ private[spark] val UPDATE_INPUT_METRICS_INTERVAL_RECORDS = 1000
--- End diff --
we used to do this as part of the confusing bytes callback in
`InputMetrics`. The purpose of that was to keep the UI updated as we read input
data. This is just a more straightforward way of doing it so we can keep
`InputMetrics` simple.
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