beliefer opened a new pull request #34474:
URL: https://github.com/apache/spark/pull/34474
### What changes were proposed in this pull request?
Currently,
```
val namedObservation = Observation("named")
val df = spark.range(100)
val observed_df = df.observe(
namedObservation, percentile_approx($"id", lit(0.5),
lit(100)).as("percentile_approx_val"))
observed_df.collect()
namedObservation.get
```
throws exception as follows:
```
15:16:27.994 ERROR org.apache.spark.util.Utils: Exception encountered
java.io.NotSerializableException:
org.apache.spark.sql.catalyst.expressions.aggregate.ApproximatePercentile$PercentileDigest
at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1184)
at
java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
at
java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
at
java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
at java.io.ObjectOutputStream.writeArray(ObjectOutputStream.java:1378)
at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1174)
at
java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
at
java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
at
java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
at
java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
at
java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
at
java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:348)
at
org.apache.spark.scheduler.DirectTaskResult.$anonfun$writeExternal$2(TaskResult.scala:55)
at
org.apache.spark.scheduler.DirectTaskResult.$anonfun$writeExternal$2$adapted(TaskResult.scala:55)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.IterableLike.foreach(IterableLike.scala:74)
at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
at
org.apache.spark.scheduler.DirectTaskResult.$anonfun$writeExternal$1(TaskResult.scala:55)
at
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1434)
at
org.apache.spark.scheduler.DirectTaskResult.writeExternal(TaskResult.scala:51)
at
java.io.ObjectOutputStream.writeExternalData(ObjectOutputStream.java:1459)
at
java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1430)
at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:348)
at
org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:44)
at
org.apache.spark.serializer.JavaSerializerInstance.serialize(JavaSerializer.scala:101)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:616)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
```
This PR will fix the issue.
### Why are the changes needed?
Fix `NotSerializableException` when observe with `percentile_approx`.
### Does this PR introduce _any_ user-facing change?
Yes. `PercentileDigest` extends `Serializable`.
### How was this patch tested?
New tests.
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
