dongjoon-hyun commented on code in PR #51197:
URL: https://github.com/apache/spark/pull/51197#discussion_r2152474989
##########
core/src/main/scala/org/apache/spark/ui/exec/ExecutorThreadDumpPage.scala:
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@@ -154,5 +153,32 @@ private[ui] class ExecutorThreadDumpPage(
</div>
</div>
}
- // scalastyle:off
+
+
+ private def threadDumpSummary(threadDump: Array[ThreadStackTrace]):
Seq[Node] = {
+ val totalCount = threadDump.length
+ <div>
+ <span class="thead-dump-summary collapse-table"
onClick="collapseTable('thead-dump-summary', 'thread-dump-summary-table')">
+ <h4>
+ <span class="collapse-table-arrow arrow-open"></span>
+ <a>Thread Dump Summary: { totalCount }</a>
+ </h4>
+ </span>
+ <table class={UIUtils.TABLE_CLASS_STRIPED + " accordion-group" + "
sortable" + " thread-dump-summary-table collapsible-table"}>
+ <thead><th>Thread State</th><th>Count</th><th>Percentage</th></thead>
+ <tbody>
+ {
+ threadDump.groupBy(_.threadState).map { case (state, threads) =>
+ <tr>
+ <td>{state}</td>
+ <td>{threads.length}</td>
+ <td>{"%.2f%%".format(threads.length * 100.0 / totalCount)}</td>
Review Comment:
Although there is a tiny rounding error which the total sum is greater than
100%, +1 for this simple logic.
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