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https://issues.apache.org/jira/browse/SPARK-26555?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon updated SPARK-26555:
---------------------------------
Priority: Major (was: Critical)
> Thread safety issue causes createDataset to fail with misleading errors
> -----------------------------------------------------------------------
>
> Key: SPARK-26555
> URL: https://issues.apache.org/jira/browse/SPARK-26555
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.0
> Reporter: Martin Loncaric
> Priority: Major
>
> This can be replicated (~2% of the time) with
> {code:scala}
> import java.sql.Timestamp
> import java.util.concurrent.{Executors, Future}
> import org.apache.spark.sql.SparkSession
> import scala.collection.mutable.ListBuffer
> import scala.concurrent.ExecutionContext
> import scala.util.Random
> object Main {
> def main(args: Array[String]): Unit = {
> val sparkSession = SparkSession.builder
> .getOrCreate()
> import sparkSession.implicits._
> val executor = Executors.newFixedThreadPool(1)
> try {
> implicit val xc: ExecutionContext =
> ExecutionContext.fromExecutorService(executor)
> val futures = new ListBuffer[Future[_]]()
> for (i <- 1 to 3) {
> futures += executor.submit(new Runnable {
> override def run(): Unit = {
> val d = if (Random.nextInt(2) == 0) Some("d value") else None
> val e = if (Random.nextInt(2) == 0) Some(5.0) else None
> val f = if (Random.nextInt(2) == 0) Some(6.0) else None
> println("DEBUG", d, e, f)
> sparkSession.createDataset(Seq(
> MyClass(new Timestamp(1L), "b", "c", d, e, f)
> ))
> }
> })
> }
> futures.foreach(_.get())
> } finally {
> println("SHUTDOWN")
> executor.shutdown()
> sparkSession.stop()
> }
> }
> case class MyClass(
> a: Timestamp,
> b: String,
> c: String,
> d: Option[String],
> e: Option[Double],
> f: Option[Double]
> )
> }
> {code}
> So it will usually come up during
> {code:bash}
> for i in $(seq 1 200); do
> echo $i
> spark-submit --master local[4] target/scala-2.11/spark-test_2.11-0.1.jar
> done
> {code}
> causing a variety of possible errors, such as
> {code}Exception in thread "main" java.util.concurrent.ExecutionException:
> scala.MatchError: scala.Option[String] (of class
> scala.reflect.internal.Types$ClassArgsTypeRef)
> at java.util.concurrent.FutureTask.report(FutureTask.java:122)
> Caused by: scala.MatchError: scala.Option[String] (of class
> scala.reflect.internal.Types$ClassArgsTypeRef)
> at
> org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$org$apache$spark$sql$catalyst$ScalaReflection$$deserializerFor$1.apply(ScalaReflection.scala:210){code}
> or
> {code}Exception in thread "main" java.util.concurrent.ExecutionException:
> java.lang.UnsupportedOperationException: Schema for type
> scala.Option[scala.Double] is not supported
> at java.util.concurrent.FutureTask.report(FutureTask.java:122)
> Caused by: java.lang.UnsupportedOperationException: Schema for type
> scala.Option[scala.Double] is not supported
> at
> org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$schemaFor$1.apply(ScalaReflection.scala:789){code}
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