HeartSaVioR commented on a change in pull request #30427:
URL: https://github.com/apache/spark/pull/30427#discussion_r528588455
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File path:
sql/core/src/main/scala/org/apache/spark/sql/streaming/ui/StreamingQueryStatisticsPage.scala
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@@ -126,6 +126,58 @@ private[ui] class StreamingQueryStatisticsPage(parent:
StreamingQueryTab)
<br />
}
+ def generateWatermark(
+ query: StreamingQueryUIData,
+ minBatchTime: Long,
+ maxBatchTime: Long,
+ jsCollector: JsCollector): Seq[Node] = {
+ // This is made sure on caller side but put it here to be defensive
+ require(query.lastProgress != null)
+ if (query.lastProgress.eventTime.containsKey("watermark")) {
+ val watermarkData = query.recentProgress.flatMap { p =>
+ val batchTimestamp = parseProgressTimestamp(p.timestamp)
+ val watermarkValue =
parseProgressTimestamp(p.eventTime.get("watermark"))
+ if (watermarkValue > 0L) {
+ // seconds
+ Some((batchTimestamp, ((batchTimestamp - watermarkValue) / 1000.0)))
Review comment:
OK I took too many efforts to write the comment and wrote too late. In
short, if we can pick the second metric to compare with global watermark, it
should be min instead of max. If Spark also picks min event time to construct
watermark, we should pick max to see how much the output is lagging due to slow
watermark advance.
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