Yicong-Huang commented on code in PR #58962:
URL: https://github.com/apache/spark/pull/58962#discussion_r4078096252


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sql/connect/common/src/main/scala/org/apache/spark/sql/connect/common/UdfSerialization.scala:
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@@ -0,0 +1,108 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.connect.common
+
+import java.io.{ByteArrayInputStream, InputStream, ObjectInputStream, 
ObjectStreamClass}
+
+/**
+ * Java deserialization for Scala UDF payloads that tolerates the 
`serialVersionUID` drift of
+ * `org.apache.spark.sql.types` classes between Spark versions.
+ *
+ * A Scala UDF payload embeds `org.apache.spark.sql.types` classes (the UDF's 
input/output schema).
+ * Those classes carry no explicit `@SerialVersionUID`, so the JVM 
auto-computes it from the whole
+ * class shape, which folds in compiler-synthesized members that are 
irrelevant to serialization --
+ * most notably the `$anonfun$` public static methods Scala emits for lambdas. 
A source change that
+ * only reshapes a lambda (e.g. rewriting a helper to use `existsRecursively { 
... }`) changes the
+ * auto-computed `serialVersionUID` without changing any serialized field, 
which makes a plain
+ * [[ObjectInputStream]] reject a payload produced by a different Spark 
version with an
+ * `InvalidClassException`, even though the payload is field-compatible.
+ *
+ * The property that actually governs compatibility is the serialized field 
layout. When a
+ * `sql.types` class arrives with a mismatched SUID but an identical 
serialized field layout, this
+ * reader rebinds the stream descriptor to the local class; any field-layout 
difference is left
+ * untouched so the standard SUID check still fails fast rather than 
misreading the stream.
+ *
+ * Only `org.apache.spark.sql.types` descriptors are treated tolerantly; every 
other class keeps
+ * the standard `serialVersionUID` compatibility check.
+ */
+private[spark] object UdfSerialization {
+
+  private val suidTolerantPackagePrefix = "org.apache.spark.sql.types."
+
+  /** Deserialize `bytes` resolving classes with `loader`, tolerating 
`sql.types` SUID drift. */
+  def deserialize[T](bytes: Array[Byte], loader: ClassLoader): T = {
+    val ois = new SuidTolerantObjectInputStream(new 
ByteArrayInputStream(bytes), loader)
+    try ois.readObject().asInstanceOf[T]
+    finally ois.close()
+  }
+
+  /** Deserialize from `in` with default class resolution, tolerating 
`sql.types` SUID drift. */
+  def deserialize[T](in: InputStream): T = {
+    new SuidTolerantObjectInputStream(in, null).readObject().asInstanceOf[T]
+  }
+
+  /**
+   * The complete serialized field layout of a descriptor: the set of 
persistent field name + JVM
+   * type signature. This is what governs whether [[ObjectInputStream]] can 
consume the producer's
+   * class-data block through the local descriptor. Every persistent slot is 
included, in
+   * particular the Scala lazy-val init `bitmap$*` slots: rebinding to a local 
descriptor whose
+   * slot shape differs would misalign the stream, so a bitmap difference must 
also block rebinding.
+   */
+  private[connect] def fieldSignature(desc: ObjectStreamClass): Set[String] = {
+    // getTypeString is null for primitives, where the single-char type code 
is the signature.
+    desc.getFields
+      .map(f => 
s"${f.getName}:${Option(f.getTypeString).getOrElse(f.getTypeCode.toString)}")
+      .toSet
+  }
+
+  private class SuidTolerantObjectInputStream(in: InputStream, loader: 
ClassLoader)
+    extends ObjectInputStream(in) {
+
+    override def resolveClass(desc: ObjectStreamClass): Class[_] = {
+      if (loader != null) {
+        // scalastyle:off classforname
+        Class.forName(desc.getName, false, loader)
+        // scalastyle:on classforname
+      } else {
+        super.resolveClass(desc)
+      }
+    }
+
+    override def readClassDescriptor(): ObjectStreamClass = {
+      val streamDesc = super.readClassDescriptor()
+      if (!streamDesc.getName.startsWith(suidTolerantPackagePrefix)) {
+        return streamDesc
+      }
+      val localClass =
+        try {
+          resolveClass(streamDesc)
+        } catch {
+          case _: ClassNotFoundException => return streamDesc
+        }
+      val localDesc = ObjectStreamClass.lookup(localClass)
+      if (localDesc == null ||
+        localDesc.getSerialVersionUID == streamDesc.getSerialVersionUID ||
+        fieldSignature(streamDesc) != fieldSignature(localDesc)) {

Review Comment:
   Good point, tightened in ddbbf69. Rebinding is now gated on an 
`isRebindSafe` check in addition to complete field-layout equality: the local 
class must
   
   - declare **no explicit `serialVersionUID`** -- so a deliberate 
explicit-SUID change (e.g. `Metadata`) is never silently tolerated, and only 
auto-computed SUID drift is bridged; and
   - define **no custom `readObject`/`writeObject`** -- so a class whose 
`readSerialData` protocol keys off the descriptor is left fail-closed.
   
   The complete persistent field-layout equality (including `bitmap$*`) is kept 
as defense in depth. Added negative tests covering an explicit-SUID class and a 
custom-`readObject` class (both fail fast).
   
   I kept a package-scoped predicate ("auto-SUID, default-field-serialized 
`sql.types` class with identical layout") rather than an exact from/to-SUID 
transition allowlist, since that predicate captures exactly the safe set 
without a hand-maintained SUID table. Happy to switch to an explicit transition 
list if you'd prefer.
   
   Also wired `SparkConnectPlanner.unpackScalaUDF` through `UdfSerialization` 
so the production ScalarScalaUDF path is actually covered (previously it went 
through `Utils.deserialize`); updated the PR description accordingly.
   



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