[
https://issues.apache.org/jira/browse/SPARK-35695?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Tanel Kiis updated SPARK-35695:
-------------------------------
Description:
This example properly fires the event
{code}
spark.range(100)
.observe(
name = "other_event",
avg($"id").cast("int").as("avg_val"))
.collect()
{code}
But when I add persist, then no event is fired or seen (not sure which):
{code}
spark.range(100)
.observe(
name = "my_event",
avg($"id").cast("int").as("avg_val"))
.persist()
.collect()
{code}
The listener:
{code}
val metricMaps = ArrayBuffer.empty[Map[String, Row]]
val listener = new QueryExecutionListener {
override def onSuccess(funcName: String, qe: QueryExecution, duration:
Long): Unit = {
metricMaps += qe.observedMetrics
}
override def onFailure(funcName: String, qe: QueryExecution, exception:
Exception): Unit = {
// No-op
}
}
spark.listenerManager.register(listener)
{code}
was:
This example properly fires the event
{code}
spark.range(100)
.observe(
name = "other_event",
avg($"id").cast("int").as("avg_val"))
.collect()
{code}
But when I add persist, then no event is fired or seen (not sure which):
{code}
spark.range(100)
.observe(
name = "my_event",
avg($"id").cast("int").as("avg_val"))
.persist()
.collect()
{code}
> QueryExecutionListener does not see any observed metrics fired before
> persist/cache
> -----------------------------------------------------------------------------------
>
> Key: SPARK-35695
> URL: https://issues.apache.org/jira/browse/SPARK-35695
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.2.0
> Reporter: Tanel Kiis
> Priority: Major
>
> This example properly fires the event
> {code}
> spark.range(100)
> .observe(
> name = "other_event",
> avg($"id").cast("int").as("avg_val"))
> .collect()
> {code}
> But when I add persist, then no event is fired or seen (not sure which):
> {code}
> spark.range(100)
> .observe(
> name = "my_event",
> avg($"id").cast("int").as("avg_val"))
> .persist()
> .collect()
> {code}
> The listener:
> {code}
> val metricMaps = ArrayBuffer.empty[Map[String, Row]]
> val listener = new QueryExecutionListener {
> override def onSuccess(funcName: String, qe: QueryExecution, duration:
> Long): Unit = {
> metricMaps += qe.observedMetrics
> }
> override def onFailure(funcName: String, qe: QueryExecution, exception:
> Exception): Unit = {
> // No-op
> }
> }
> spark.listenerManager.register(listener)
> {code}
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