[SPARK-37556][SQL] Deser void class fail with Java serialization #34816
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HyukjinKwon
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can you fill the JIRA description please? SEe also https://github.com/apache/spark/blob/master/.github/PULL_REQUEST_TEMPLATE |
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Jenkins test this please |
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Kubernetes integration test starting |
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Kubernetes integration test status failure |
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Test build #145956 has finished for PR 34816 at commit
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srowen
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Dec 7, 2021
HyukjinKwon
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Dec 7, 2021
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Can one of the admins verify this patch? |
srowen
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Dec 7, 2021
**What changes were proposed in this pull request?** Change the deserialization mapping for primitive type void. **Why are the changes needed?** The void primitive type in Scala should be classOf[Unit] not classOf[Void]. Spark erroneously [map it](https://github.com/apache/spark/blob/v3.2.0/core/src/main/scala/org/apache/spark/serializer/JavaSerializer.scala#L80) differently than all other primitive types. Here is the code: ``` private object JavaDeserializationStream { val primitiveMappings = Map[String, Class[_]]( "boolean" -> classOf[Boolean], "byte" -> classOf[Byte], "char" -> classOf[Char], "short" -> classOf[Short], "int" -> classOf[Int], "long" -> classOf[Long], "float" -> classOf[Float], "double" -> classOf[Double], "void" -> classOf[Void] ) } ``` Spark code is Here is the demonstration: ``` scala> classOf[Long] val res0: Class[Long] = long scala> classOf[Double] val res1: Class[Double] = double scala> classOf[Byte] val res2: Class[Byte] = byte scala> classOf[Void] val res3: Class[Void] = class java.lang.Void <--- this is wrong scala> classOf[Unit] val res4: Class[Unit] = void <---- this is right ``` It will result in Spark deserialization error if the Spark code contains void primitive type: `java.io.InvalidClassException: java.lang.Void; local class name incompatible with stream class name "void"` **Does this PR introduce any user-facing change?** no **How was this patch tested?** Changed test, also tested e2e with the code results deserialization error and it pass now. Closes #34816 from daijyc/voidtype. Authored-by: Daniel Dai <jdai@pinterest.com> Signed-off-by: Sean Owen <srowen@gmail.com> (cherry picked from commit fb40c0e) Signed-off-by: Sean Owen <srowen@gmail.com>
srowen
pushed a commit
that referenced
this pull request
Dec 7, 2021
**What changes were proposed in this pull request?** Change the deserialization mapping for primitive type void. **Why are the changes needed?** The void primitive type in Scala should be classOf[Unit] not classOf[Void]. Spark erroneously [map it](https://github.com/apache/spark/blob/v3.2.0/core/src/main/scala/org/apache/spark/serializer/JavaSerializer.scala#L80) differently than all other primitive types. Here is the code: ``` private object JavaDeserializationStream { val primitiveMappings = Map[String, Class[_]]( "boolean" -> classOf[Boolean], "byte" -> classOf[Byte], "char" -> classOf[Char], "short" -> classOf[Short], "int" -> classOf[Int], "long" -> classOf[Long], "float" -> classOf[Float], "double" -> classOf[Double], "void" -> classOf[Void] ) } ``` Spark code is Here is the demonstration: ``` scala> classOf[Long] val res0: Class[Long] = long scala> classOf[Double] val res1: Class[Double] = double scala> classOf[Byte] val res2: Class[Byte] = byte scala> classOf[Void] val res3: Class[Void] = class java.lang.Void <--- this is wrong scala> classOf[Unit] val res4: Class[Unit] = void <---- this is right ``` It will result in Spark deserialization error if the Spark code contains void primitive type: `java.io.InvalidClassException: java.lang.Void; local class name incompatible with stream class name "void"` **Does this PR introduce any user-facing change?** no **How was this patch tested?** Changed test, also tested e2e with the code results deserialization error and it pass now. Closes #34816 from daijyc/voidtype. Authored-by: Daniel Dai <jdai@pinterest.com> Signed-off-by: Sean Owen <srowen@gmail.com> (cherry picked from commit fb40c0e) Signed-off-by: Sean Owen <srowen@gmail.com>
srowen
pushed a commit
that referenced
this pull request
Dec 7, 2021
**What changes were proposed in this pull request?** Change the deserialization mapping for primitive type void. **Why are the changes needed?** The void primitive type in Scala should be classOf[Unit] not classOf[Void]. Spark erroneously [map it](https://github.com/apache/spark/blob/v3.2.0/core/src/main/scala/org/apache/spark/serializer/JavaSerializer.scala#L80) differently than all other primitive types. Here is the code: ``` private object JavaDeserializationStream { val primitiveMappings = Map[String, Class[_]]( "boolean" -> classOf[Boolean], "byte" -> classOf[Byte], "char" -> classOf[Char], "short" -> classOf[Short], "int" -> classOf[Int], "long" -> classOf[Long], "float" -> classOf[Float], "double" -> classOf[Double], "void" -> classOf[Void] ) } ``` Spark code is Here is the demonstration: ``` scala> classOf[Long] val res0: Class[Long] = long scala> classOf[Double] val res1: Class[Double] = double scala> classOf[Byte] val res2: Class[Byte] = byte scala> classOf[Void] val res3: Class[Void] = class java.lang.Void <--- this is wrong scala> classOf[Unit] val res4: Class[Unit] = void <---- this is right ``` It will result in Spark deserialization error if the Spark code contains void primitive type: `java.io.InvalidClassException: java.lang.Void; local class name incompatible with stream class name "void"` **Does this PR introduce any user-facing change?** no **How was this patch tested?** Changed test, also tested e2e with the code results deserialization error and it pass now. Closes #34816 from daijyc/voidtype. Authored-by: Daniel Dai <jdai@pinterest.com> Signed-off-by: Sean Owen <srowen@gmail.com> (cherry picked from commit fb40c0e) Signed-off-by: Sean Owen <srowen@gmail.com>
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Merged to master/3.2/3.1/3.0 |
fishcus
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Jan 12, 2022
**What changes were proposed in this pull request?** Change the deserialization mapping for primitive type void. **Why are the changes needed?** The void primitive type in Scala should be classOf[Unit] not classOf[Void]. Spark erroneously [map it](https://github.com/apache/spark/blob/v3.2.0/core/src/main/scala/org/apache/spark/serializer/JavaSerializer.scala#L80) differently than all other primitive types. Here is the code: ``` private object JavaDeserializationStream { val primitiveMappings = Map[String, Class[_]]( "boolean" -> classOf[Boolean], "byte" -> classOf[Byte], "char" -> classOf[Char], "short" -> classOf[Short], "int" -> classOf[Int], "long" -> classOf[Long], "float" -> classOf[Float], "double" -> classOf[Double], "void" -> classOf[Void] ) } ``` Spark code is Here is the demonstration: ``` scala> classOf[Long] val res0: Class[Long] = long scala> classOf[Double] val res1: Class[Double] = double scala> classOf[Byte] val res2: Class[Byte] = byte scala> classOf[Void] val res3: Class[Void] = class java.lang.Void <--- this is wrong scala> classOf[Unit] val res4: Class[Unit] = void <---- this is right ``` It will result in Spark deserialization error if the Spark code contains void primitive type: `java.io.InvalidClassException: java.lang.Void; local class name incompatible with stream class name "void"` **Does this PR introduce any user-facing change?** no **How was this patch tested?** Changed test, also tested e2e with the code results deserialization error and it pass now. Closes apache#34816 from daijyc/voidtype. Authored-by: Daniel Dai <jdai@pinterest.com> Signed-off-by: Sean Owen <srowen@gmail.com> (cherry picked from commit fb40c0e) Signed-off-by: Sean Owen <srowen@gmail.com>
catalinii
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to lyft/spark
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Feb 22, 2022
**What changes were proposed in this pull request?** Change the deserialization mapping for primitive type void. **Why are the changes needed?** The void primitive type in Scala should be classOf[Unit] not classOf[Void]. Spark erroneously [map it](https://github.com/apache/spark/blob/v3.2.0/core/src/main/scala/org/apache/spark/serializer/JavaSerializer.scala#L80) differently than all other primitive types. Here is the code: ``` private object JavaDeserializationStream { val primitiveMappings = Map[String, Class[_]]( "boolean" -> classOf[Boolean], "byte" -> classOf[Byte], "char" -> classOf[Char], "short" -> classOf[Short], "int" -> classOf[Int], "long" -> classOf[Long], "float" -> classOf[Float], "double" -> classOf[Double], "void" -> classOf[Void] ) } ``` Spark code is Here is the demonstration: ``` scala> classOf[Long] val res0: Class[Long] = long scala> classOf[Double] val res1: Class[Double] = double scala> classOf[Byte] val res2: Class[Byte] = byte scala> classOf[Void] val res3: Class[Void] = class java.lang.Void <--- this is wrong scala> classOf[Unit] val res4: Class[Unit] = void <---- this is right ``` It will result in Spark deserialization error if the Spark code contains void primitive type: `java.io.InvalidClassException: java.lang.Void; local class name incompatible with stream class name "void"` **Does this PR introduce any user-facing change?** no **How was this patch tested?** Changed test, also tested e2e with the code results deserialization error and it pass now. Closes apache#34816 from daijyc/voidtype. Authored-by: Daniel Dai <jdai@pinterest.com> Signed-off-by: Sean Owen <srowen@gmail.com> (cherry picked from commit fb40c0e) Signed-off-by: Sean Owen <srowen@gmail.com>
catalinii
pushed a commit
to lyft/spark
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Mar 4, 2022
**What changes were proposed in this pull request?** Change the deserialization mapping for primitive type void. **Why are the changes needed?** The void primitive type in Scala should be classOf[Unit] not classOf[Void]. Spark erroneously [map it](https://github.com/apache/spark/blob/v3.2.0/core/src/main/scala/org/apache/spark/serializer/JavaSerializer.scala#L80) differently than all other primitive types. Here is the code: ``` private object JavaDeserializationStream { val primitiveMappings = Map[String, Class[_]]( "boolean" -> classOf[Boolean], "byte" -> classOf[Byte], "char" -> classOf[Char], "short" -> classOf[Short], "int" -> classOf[Int], "long" -> classOf[Long], "float" -> classOf[Float], "double" -> classOf[Double], "void" -> classOf[Void] ) } ``` Spark code is Here is the demonstration: ``` scala> classOf[Long] val res0: Class[Long] = long scala> classOf[Double] val res1: Class[Double] = double scala> classOf[Byte] val res2: Class[Byte] = byte scala> classOf[Void] val res3: Class[Void] = class java.lang.Void <--- this is wrong scala> classOf[Unit] val res4: Class[Unit] = void <---- this is right ``` It will result in Spark deserialization error if the Spark code contains void primitive type: `java.io.InvalidClassException: java.lang.Void; local class name incompatible with stream class name "void"` **Does this PR introduce any user-facing change?** no **How was this patch tested?** Changed test, also tested e2e with the code results deserialization error and it pass now. Closes apache#34816 from daijyc/voidtype. Authored-by: Daniel Dai <jdai@pinterest.com> Signed-off-by: Sean Owen <srowen@gmail.com> (cherry picked from commit fb40c0e) Signed-off-by: Sean Owen <srowen@gmail.com>
kazuyukitanimura
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Aug 10, 2022
**What changes were proposed in this pull request?** Change the deserialization mapping for primitive type void. **Why are the changes needed?** The void primitive type in Scala should be classOf[Unit] not classOf[Void]. Spark erroneously [map it](https://github.com/apache/spark/blob/v3.2.0/core/src/main/scala/org/apache/spark/serializer/JavaSerializer.scala#L80) differently than all other primitive types. Here is the code: ``` private object JavaDeserializationStream { val primitiveMappings = Map[String, Class[_]]( "boolean" -> classOf[Boolean], "byte" -> classOf[Byte], "char" -> classOf[Char], "short" -> classOf[Short], "int" -> classOf[Int], "long" -> classOf[Long], "float" -> classOf[Float], "double" -> classOf[Double], "void" -> classOf[Void] ) } ``` Spark code is Here is the demonstration: ``` scala> classOf[Long] val res0: Class[Long] = long scala> classOf[Double] val res1: Class[Double] = double scala> classOf[Byte] val res2: Class[Byte] = byte scala> classOf[Void] val res3: Class[Void] = class java.lang.Void <--- this is wrong scala> classOf[Unit] val res4: Class[Unit] = void <---- this is right ``` It will result in Spark deserialization error if the Spark code contains void primitive type: `java.io.InvalidClassException: java.lang.Void; local class name incompatible with stream class name "void"` **Does this PR introduce any user-facing change?** no **How was this patch tested?** Changed test, also tested e2e with the code results deserialization error and it pass now. Closes apache#34816 from daijyc/voidtype. Authored-by: Daniel Dai <jdai@pinterest.com> Signed-off-by: Sean Owen <srowen@gmail.com> (cherry picked from commit fb40c0e) Signed-off-by: Sean Owen <srowen@gmail.com>
wangyum
pushed a commit
that referenced
this pull request
May 26, 2023
**What changes were proposed in this pull request?** Change the deserialization mapping for primitive type void. **Why are the changes needed?** The void primitive type in Scala should be classOf[Unit] not classOf[Void]. Spark erroneously [map it](https://github.com/apache/spark/blob/v3.2.0/core/src/main/scala/org/apache/spark/serializer/JavaSerializer.scala#L80) differently than all other primitive types. Here is the code: ``` private object JavaDeserializationStream { val primitiveMappings = Map[String, Class[_]]( "boolean" -> classOf[Boolean], "byte" -> classOf[Byte], "char" -> classOf[Char], "short" -> classOf[Short], "int" -> classOf[Int], "long" -> classOf[Long], "float" -> classOf[Float], "double" -> classOf[Double], "void" -> classOf[Void] ) } ``` Spark code is Here is the demonstration: ``` scala> classOf[Long] val res0: Class[Long] = long scala> classOf[Double] val res1: Class[Double] = double scala> classOf[Byte] val res2: Class[Byte] = byte scala> classOf[Void] val res3: Class[Void] = class java.lang.Void <--- this is wrong scala> classOf[Unit] val res4: Class[Unit] = void <---- this is right ``` It will result in Spark deserialization error if the Spark code contains void primitive type: `java.io.InvalidClassException: java.lang.Void; local class name incompatible with stream class name "void"` **Does this PR introduce any user-facing change?** no **How was this patch tested?** Changed test, also tested e2e with the code results deserialization error and it pass now. Closes #34816 from daijyc/voidtype. Authored-by: Daniel Dai <jdai@pinterest.com> Signed-off-by: Sean Owen <srowen@gmail.com>
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What changes were proposed in this pull request?
Change the deserialization mapping for primitive type void.
Why are the changes needed?
The void primitive type in Scala should be classOf[Unit] not classOf[Void]. Spark erroneously map it differently than all other primitive types. Here is the code:
Spark code is Here is the demonstration:
It will result in Spark deserialization error if the Spark code contains void primitive type:
java.io.InvalidClassException: java.lang.Void; local class name incompatible with stream class name "void"Does this PR introduce any user-facing change?
no
How was this patch tested?
Changed test, also tested e2e with the code results deserialization error and it pass now.