Problem
You get an intermittent NullPointerException error when saving your data.
Py4JJavaError: An error occurred while calling o2892.save. : java.lang.NullPointerException at org.apache.spark.sql.execution.adaptive.OptimizeSkewedJoin.$anonfun$getMapSizesForReduceId$1(OptimizeSkewedJoin.scala:167) at org.apache.spark.sql.execution.adaptive.OptimizeSkewedJoin.$anonfun$getMapSizesForReduceId$1$adapted(OptimizeSkewedJoin.scala:167) at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238) at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36) .... at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:380) at py4j.Gateway.invoke(Gateway.java:295) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:251) at java.lang.Thread.run(Thread.java:748)
Cause
This error can occur if adaptive query execution (AQE) (AWS | Azure) is enabled and you are joining data. If AQE is enabled, skew join is also enabled.
If any of the shuffle data fails due to a cluster scaling down event it generates a NullPointerException error.
Solution
Set spark.sql.adaptive.skewJoin.enabled to false in your Spark config (AWS | Azure).