Alana Young created SPARK-37913:
-----------------------------------
Summary: Null Pointer Exception when Loading ML Pipeline Model
with Custom Transformer
Key: SPARK-37913
URL: https://issues.apache.org/jira/browse/SPARK-37913
Project: Spark
Issue Type: Bug
Components: Spark Core
Affects Versions: 3.1.2
Environment: Spark 3.1.2, Scala 2.12, Java 11
Reporter: Alana Young
I am trying to create and persist a ML pipeline model using a custom Spark
transformer that I created based on the [Unary Transformer
example|https://github.com/apache/spark/blob/v3.1.2/examples/src/main/scala/org/apache/spark/examples/ml/UnaryTransformerExample.scala]
provided by Spark. I am able to save and load the transformer. When I include
the custom transformer as a stage in a pipeline model, I can save the model,
but am unable to load it. Here is the stack trace of the exception:
{{}}
{code:java}
01-14-2022 03:49:52 PM ERROR Instrumentation: java.lang.NullPointerException at
java.base/java.lang.reflect.Method.invoke(Method.java:559) at
org.apache.spark.ml.util.DefaultParamsReader$.loadParamsInstanceReader(ReadWrite.scala:631)
at
org.apache.spark.ml.Pipeline$SharedReadWrite$.$anonfun$load$4(Pipeline.scala:276)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238)
at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198) at
scala.collection.TraversableLike.map(TraversableLike.scala:238) at
scala.collection.TraversableLike.map$(TraversableLike.scala:231) at
scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:198) at
org.apache.spark.ml.Pipeline$SharedReadWrite$.$anonfun$load$3(Pipeline.scala:274)
at
org.apache.spark.ml.util.Instrumentation$.$anonfun$instrumented$1(Instrumentation.scala:191)
at scala.util.Try$.apply(Try.scala:213) at
org.apache.spark.ml.util.Instrumentation$.instrumented(Instrumentation.scala:191)
at org.apache.spark.ml.Pipeline$SharedReadWrite$.load(Pipeline.scala:268) at
org.apache.spark.ml.PipelineModel$PipelineModelReader.$anonfun$load$7(Pipeline.scala:356)
at org.apache.spark.ml.MLEvents.withLoadInstanceEvent(events.scala:160) at
org.apache.spark.ml.MLEvents.withLoadInstanceEvent$(events.scala:155) at
org.apache.spark.ml.util.Instrumentation.withLoadInstanceEvent(Instrumentation.scala:42)
at
org.apache.spark.ml.PipelineModel$PipelineModelReader.$anonfun$load$6(Pipeline.scala:355)
at
org.apache.spark.ml.util.Instrumentation$.$anonfun$instrumented$1(Instrumentation.scala:191)
at scala.util.Try$.apply(Try.scala:213) at
org.apache.spark.ml.util.Instrumentation$.instrumented(Instrumentation.scala:191)
at
org.apache.spark.ml.PipelineModel$PipelineModelReader.load(Pipeline.scala:355)
at
org.apache.spark.ml.PipelineModel$PipelineModelReader.load(Pipeline.scala:349)
at org.apache.spark.ml.util.MLReadable.load(ReadWrite.scala:355) at
org.apache.spark.ml.util.MLReadable.load$(ReadWrite.scala:355) at
org.apache.spark.ml.PipelineModel$.load(Pipeline.scala:337) at
com.dtech.scala.pipeline.PipelineProcess.process(PipelineProcess.scala:122) at
com.dtech.scala.pipeline.PipelineProcess$.main(PipelineProcess.scala:448) at
com.dtech.scala.pipeline.PipelineProcess.main(PipelineProcess.scala) at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:566) at
org.apache.spark.deploy.worker.DriverWrapper$.main(DriverWrapper.scala:65) at
org.apache.spark.deploy.worker.DriverWrapper.main(DriverWrapper.scala){code}
*Source Code*
[Unary
Transformer|https://gist.github.com/ally1221/ff10ec50f7ef98fb6cd365172195bfd5]
[Persist Unary Transformer & Pipeline
Model|https://gist.github.com/ally1221/42473cdc818a8cf795ac78d65d48ee14]
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