[
https://issues.apache.org/jira/browse/SPARK-31403?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon resolved SPARK-31403.
----------------------------------
Resolution: Cannot Reproduce
Seems I can't reproduce from the master. Probably fixed somewhere else:
{code}
import org.apache.spark.sql.catalyst.plans.logical.Project
spark.range(10).createOrReplaceTempView("users")
val plan = (spark
.sql("select if(isnull(id), null, 2) from users")
.queryExecution
.optimizedPlan)
println(plan.asInstanceOf[Project].projectList.head.asCode)
{code}
> TreeNode asCode function incorrectly handles null literals
> ----------------------------------------------------------
>
> Key: SPARK-31403
> URL: https://issues.apache.org/jira/browse/SPARK-31403
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.4
> Reporter: Carl Sverre
> Priority: Minor
>
> In the TreeNode code in Catalyst the asCode function incorrectly handles null
> literals. When it tries to render a null literal it will match {{null}}
> using the third case expression and try to call {{null.toString}} which will
> raise a NullPointerException.
> I verified this bug exists in Spark 2.4.4 and the same code appears to be in
> master:
> [https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreeNode.scala#L707]
> The fix seems trivial - add an explicit case for null.
> One way to reproduce this is via:
> {code:java}
> val plan =
> spark
> .sql("select if(isnull(id), null, 2) from testdb_jdbc.users")
> .queryExecution
> .optimizedPlan
> println(plan.asInstanceOf[Project].projectList.head.asCode) {code}
> However any other way which generates a Literal with the value null will
> cause the issue.
> In this case the above SparkSQL will generate the literal: {{Literal(null,
> IntegerType)}} for the "trueValue" of the if statement.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
