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https://issues.apache.org/jira/browse/SPARK-43310?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-43310:
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Component/s: Structured Streaming
> Dataset.observe is ignored when writing to Kafka with batch query
> -----------------------------------------------------------------
>
> Key: SPARK-43310
> URL: https://issues.apache.org/jira/browse/SPARK-43310
> Project: Spark
> Issue Type: Bug
> Components: SQL, Structured Streaming
> Affects Versions: 3.3.2, 3.4.0
> Reporter: David Deuber
> Priority: Major
>
> When writing to Kafka with a batch query, metrics defined with
> {{Dataset.observe}} are not recorded.
> For example,
> {code:java}
> import org.apache.spark.sql.execution.QueryExecution
> import org.apache.spark.sql.util.QueryExecutionListener
> spark.listenerManager.register(new QueryExecutionListener {
> override def onSuccess(funcName: String, qe: QueryExecution, durationNs:
> Long): Unit = {
> println(qe.observedMetrics)
> }
> override def onFailure(funcName: String, qe: QueryExecution, exception:
> Exception): Unit = {
> //pass
> }
> })
> val df = Seq(("k", "v")).toDF("key", "value")
> val observed = df.observe("my_observation",
> lit("metric_value").as("some_metric"))
> observed
> .write
> .format("kafka")
> .option("kafka.bootstrap.servers", "host1:port1")
> .option("topic", "topic1")
> .save()
> {code}
> prints {{{}Map(){}}}.
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