Kris Mok created SPARK-40380:
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Summary: Constant-folding of InvokeLike should not result in
non-serializable result
Key: SPARK-40380
URL: https://issues.apache.org/jira/browse/SPARK-40380
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 3.3.0
Reporter: Kris Mok
SPARK-37907 added constant-folding support to the {{InvokeLike}} family of
expressions. Unfortunately it introduced a regression for cases when a
constant-folded {{InvokeLike}} expression returned a non-serializable result.
{{ExpressionEncoder}}s is an area where this problem may be exposed, e.g. when
using sparksql-scalapb on Spark 3.3.0+.
Below is a minimal repro to demonstrate this issue:
{code:scala}
import org.apache.spark.sql.Column
import org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute
import org.apache.spark.sql.catalyst.expressions.Literal
import org.apache.spark.sql.catalyst.expressions.objects.{Invoke, StaticInvoke}
import org.apache.spark.sql.types.{LongType, ObjectType}
class NotSerializableBoxedLong(longVal: Long) { def add(other: Long): Long =
longVal + other }
case class SerializableBoxedLong(longVal: Long) { def toNotSerializable():
NotSerializableBoxedLong = new NotSerializableBoxedLong(longVal) }
val litExpr = Literal.fromObject(SerializableBoxedLong(42L),
ObjectType(classOf[SerializableBoxedLong]))
val toNotSerializableExpr = Invoke(litExpr, "toNotSerializable",
ObjectType(classOf[NotSerializableBoxedLong]))
val addExpr = Invoke(toNotSerializableExpr, "add", LongType,
Seq(UnresolvedAttribute.quotedString("id")))
val df = spark.range(2).select(new Column(addExpr))
df.collect
{code}
Before SPARK-37907, this example would run fine and result in {{[[42], [43]]}}.
But after SPARK-37907, it'd fail with:
{code:none}
...
Caused by: java.io.NotSerializableException: NotSerializableBoxedLong
Serialization stack:
- object not serializable (class: NotSerializableBoxedLong, value:
NotSerializableBoxedLong@71231636)
- element of array (index: 1)
- array (class [Ljava.lang.Object;, size 2)
- element of array (index: 1)
- array (class [Ljava.lang.Object;, size 3)
- field (class: java.lang.invoke.SerializedLambda, name: capturedArgs,
type: class [Ljava.lang.Object;)
- object (class java.lang.invoke.SerializedLambda,
SerializedLambda[capturingClass=class
org.apache.spark.sql.execution.WholeStageCodegenExec,
functionalInterfaceMethod=scala/Function2.apply:(Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object;,
implementation=invokeStatic
org/apache/spark/sql/execution/WholeStageCodegenExec.$anonfun$doExecute$4$adapted:(Lorg/apache/spark/sql/catalyst/expressions/codegen/CodeAndComment;[Ljava/lang/Object;Lorg/apache/spark/sql/execution/metric/SQLMetric;Ljava/lang/Object;Lscala/collection/Iterator;)Lscala/collection/Iterator;,
instantiatedMethodType=(Ljava/lang/Object;Lscala/collection/Iterator;)Lscala/collection/Iterator;,
numCaptured=3])
- writeReplace data (class: java.lang.invoke.SerializedLambda)
- object (class
org.apache.spark.sql.execution.WholeStageCodegenExec$$Lambda$3123/1641694389,
org.apache.spark.sql.execution.WholeStageCodegenExec$$Lambda$3123/1641694389@185db22c)
at
org.apache.spark.serializer.SerializationDebugger$.improveException(SerializationDebugger.scala:41)
at
org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:49)
at
org.apache.spark.serializer.JavaSerializerInstance.serialize(JavaSerializer.scala:115)
at
org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:441)
{code}
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