[
https://issues.apache.org/jira/browse/SPARK-40541?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon updated SPARK-40541:
---------------------------------
Component/s: SQL
(was: Spark Core)
> NullPointerException with UTF8String.getBaseObject() when UDF
> -------------------------------------------------------------
>
> Key: SPARK-40541
> URL: https://issues.apache.org/jira/browse/SPARK-40541
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.3.0
> Reporter: Garret Wilson
> Priority: Major
>
> I'm using Spark 3.3.0 on Windows with Java 17. I have a UDF that returns
> several columns using:
> {code}
> StructType schema = createStructType(List.of(… createStructField("bar",
> StringType, false)));
> UserDefinedFunction foobarUdf = udf((String foo) -> {
> …
> }, schema).asNondeterministic();
> {code}
> Note that I specify {{false}} for {{bar}}'s nullability. It turns out that
> {{foobarUdf}} actually returns {{null}} for {{bar}} sometimes. In the
> relational database world, I would expect that if my integrity constraint
> wasn't met, the database would say, "you put {{null}} in {{bar}}, but {{bar}}
> is not nullable".
> What I did _not_ expect is what Spark does: it hits a
> {{NullPointerException}} and has a nervous breakdown:
> {noformat}
> [ERROR] Exception in task 0.0 in stage 8.0 (TID 5)
> java.lang.NullPointerException: Cannot invoke
> "org.apache.spark.unsafe.types.UTF8String.getBaseObject()" because "input" is
> null
> at
> org.apache.spark.sql.catalyst.expressions.codegen.UnsafeWriter.write(UnsafeWriter.java:110)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown
> Source)
> at scala.collection.Iterator$$anon$9.next(Iterator.scala:577)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.hashAgg_doAggregateWithoutKey_1$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.hashAgg_doAggregateWithoutKey_0$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:364)
> at
> org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:890)
> at
> org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:890)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:329)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> at org.apache.spark.scheduler.Task.run(Task.scala:136)
> at
> org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1504)
> at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551)
> at
> java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
> at
> java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
> at java.base/java.lang.Thread.run(Thread.java:833)
> [WARN] Lost task 0.0 in stage 8.0 (TID 5) (xps-13-9310 executor driver):
> java.lang.NullPointerException: Cannot invoke
> "org.apache.spark.unsafe.types.UTF8String.getBaseObject()" because "input" is
> null
> at
> org.apache.spark.sql.catalyst.expressions.codegen.UnsafeWriter.write(UnsafeWriter.java:110)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown
> Source)
> at scala.collection.Iterator$$anon$9.next(Iterator.scala:577)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.hashAgg_doAggregateWithoutKey_1$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.hashAgg_doAggregateWithoutKey_0$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:364)
> at
> org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:890)
> at
> org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:890)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:329)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> at org.apache.spark.scheduler.Task.run(Task.scala:136)
> at
> org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1504)
> at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551)
> at
> java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
> at
> java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
> at java.base/java.lang.Thread.run(Thread.java:833)
> {noformat}
> It finally fails with:
> {noformat}
> [ERROR] Job aborted due to stage failure: Task 0 in stage 8.0 failed 1 times,
> most recent failure: Lost task 0.0 in stage 8.0 (TID 5) (xps-13-9310 executor
> driver): java.lang.NullPointerException: Cannot invoke
> "org.apache.spark.unsafe.types.UTF8String.getBaseObject()" because "input" is
> null
> at
> org.apache.spark.sql.catalyst.expressions.codegen.UnsafeWriter.write(UnsafeWriter.java:110)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown
> Source)
> at scala.collection.Iterator$$anon$9.next(Iterator.scala:577)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.hashAgg_doAggregateWithoutKey_1$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.hashAgg_doAggregateWithoutKey_0$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:364)
> at
> org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:890)
> at
> org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:890)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:329)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> at org.apache.spark.scheduler.Task.run(Task.scala:136)
> at
> org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1504)
> at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551)
> at
> java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
> at
> java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
> at java.base/java.lang.Thread.run(Thread.java:833)
> {noformat}
> See also [Spark dies with NullPointerException UTF8String.getBaseObject()
> "input" is null|https://stackoverflow.com/q/73815800].
> The irony is that when I actually intend to mark a column as non-nullable
> when reading in data, Spark ignores me. See [Spark 3.3.0 not honoring my
> schema nullability in Java|https://stackoverflow.com/q/73476202].
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