comphead commented on code in PR #6401:
URL: https://github.com/apache/datafusion-comet/pull/6401#discussion_r4146375490
##########
spark/src/main/scala/org/apache/comet/CometExecIterator.scala:
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@@ -527,6 +551,55 @@ object CometExecIterator extends Logging {
}
}
+ /**
+ * Sends a memory usage sample to the driver, which posts it to the listener
bus for the event
+ * log to record, and returns whether it did. It does when the application
writes an event log,
+ * which `spark.eventLog.enabled` shows on the executor as well as on the
driver, and the
+ * executor runs the Comet plugin, whose channel to the driver carries the
sample. Both are
+ * checked for every sample rather than once, because in local mode each
SparkContext starts its
+ * own executor plugin. A failure to send is not retried: those that surface
here, such as a
+ * driver endpoint that could not be found, persist, so the log falls back
to the executor's log
+ * for good.
+ */
+ private[apache] def sendToEventLog(usage: Array[Long], jvmArrow:
JvmArrowMemory): Boolean =
+ (Option(SparkEnv.get), CometExecutorPlugin.pluginContext) match {
+ case (Some(env), Some(pluginContext))
+ if !eventLogSendFailed && env.conf.getBoolean(EVENT_LOG_ENABLED,
false) =>
Review Comment:
Updated the description.
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