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https://issues.apache.org/jira/browse/SPARK-49188?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-49188.
---------------------------------
    Fix Version/s: 4.0.0
         Assignee: Nikola Mandic
       Resolution: Fixed

> Internal error on concat_ws called on array of arrays of string
> ---------------------------------------------------------------
>
>                 Key: SPARK-49188
>                 URL: https://issues.apache.org/jira/browse/SPARK-49188
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 4.0.0
>            Reporter: Nikola Mandic
>            Assignee: Nikola Mandic
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 4.0.0
>
>
> Applying the following sequence of queries in *ANSI mode* 
> (spark.sql.ansi.enabled=true):
> {code:java}
> create table test_table(dat array<string>) using parquet;
> select concat_ws(',', collect_list(dat)) FROM test_table; {code}
> yields an internal error:
> {code:java}
> org.apache.spark.SparkException: [INTERNAL_ERROR] The Spark SQL phase 
> analysis failed with an internal error. You hit a bug in Spark or the Spark 
> plugins you use. Please, report this bug to the corresponding communities or 
> vendors, and provide the full stack trace. SQLSTATE: XX000
> ...
> Caused by: java.lang.NullPointerException: Cannot invoke 
> "org.apache.spark.sql.types.AbstractDataType.simpleString()" because 
> "<local3>" is null
>   at 
> org.apache.spark.sql.errors.DataTypeErrorsBase.toSQLType(DataTypeErrorsBase.scala:55)
>   at 
> org.apache.spark.sql.errors.DataTypeErrorsBase.toSQLType$(DataTypeErrorsBase.scala:51)
>   at org.apache.spark.sql.catalyst.expressions.Cast$.toSQLType(Cast.scala:44)
>   at 
> org.apache.spark.sql.catalyst.expressions.Cast$.typeCheckFailureMessage(Cast.scala:426)
>   at 
> org.apache.spark.sql.catalyst.expressions.Cast.typeCheckFailureInCast(Cast.scala:501)
>   at 
> org.apache.spark.sql.catalyst.expressions.Cast.checkInputDataTypes(Cast.scala:525)
>   at 
> org.apache.spark.sql.catalyst.expressions.Cast.resolved$lzycompute(Cast.scala:551)
>   at org.apache.spark.sql.catalyst.expressions.Cast.resolved(Cast.scala:550)
> ... {code}



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