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https://issues.apache.org/jira/browse/SPARK-48995?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17868494#comment-17868494
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Mithun Radhakrishnan commented on SPARK-48995:
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To the untrained eye, it would appear that the {{None}} argument to
{{Column.endswith()}} turns up as a null-Column-reference in {{Column.fn}}.
> Column.endswith(None) occasionally causes NPE
> ---------------------------------------------
>
> Key: SPARK-48995
> URL: https://issues.apache.org/jira/browse/SPARK-48995
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 4.0.0
> Environment: Tested from {{pyspark}} shell, on Apache Spark 4.0.
> Reporter: Mithun Radhakrishnan
> Priority: Major
>
> This one is pretty hard to repro, since it only seems to happen occasionally.
> Invoking `Column.endswith()` seems to result in an NPE, with Spark 4.0:
> {code:python}
> from pyspark.sql.types import *
> import pyspark.sql.functions as f
> schema = StructType([StructField("s", StringType(), True)])
> strings = [Row("abc"), Row("bcd"), Row(None)]
> df = sc.parallelize(strings).toDF(schema)
> df.select( f.col('s').endswith(None) ).collect()
> {code}
> Here is the resulting stack trace:
> {code}
> py4j.protocol.Py4JJavaError: An error occurred while calling o205.endsWith.
> : java.lang.NullPointerException: Cannot invoke
> "org.apache.spark.sql.Column.expr()" because "x$1" is null
> at org.apache.spark.sql.Column$.$anonfun$fn$2(Column.scala:77)
> at scala.collection.immutable.ArraySeq.map(ArraySeq.scala:75)
> at scala.collection.immutable.ArraySeq.map(ArraySeq.scala:35)
> at org.apache.spark.sql.Column$.$anonfun$fn$1(Column.scala:77)
> at
> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:84)
> at org.apache.spark.sql.package$.withOrigin(package.scala:111)
> at org.apache.spark.sql.Column$.fn(Column.scala:76)
> at org.apache.spark.sql.Column$.fn(Column.scala:64)
> at org.apache.spark.sql.Column.fn(Column.scala:169)
> at org.apache.spark.sql.Column.endsWith(Column.scala:1078)
> at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native
> Method)
> at
> java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)
> at
> java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.base/java.lang.reflect.Method.invoke(Method.java:568)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)
> at py4j.Gateway.invoke(Gateway.java:282)
> at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
> at py4j.commands.CallCommand.execute(CallCommand.java:79)
> at
> py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
> at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
> at java.base/java.lang.Thread.run(Thread.java:840)
> {code}
> This seems to point to {{Column::fn}}, which looks new to Spark 4.0.
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